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acurtan · 4 months ago

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Machine Learning Chip Market: The Heart of AI Systems

Introduction

The Global Machine Learning Chip Market size is expected to be worth around USD 207 Billion By 2033, from USD 10.0 Billion in 2023, growing at a CAGR of 35.2% during the forecast period from 2024 to 2033.

The Machine Learning (ML) Chip Market is experiencing rapid growth due to the increasing demand for artificial intelligence (AI) applications across various industries. These specialized chips are designed to handle the complex computations required by machine learning algorithms, making them essential for tasks like image and speech recognition, natural language processing, and autonomous systems.

Growth factors include advancements in AI technology, the proliferation of IoT devices, and the need for more efficient data processing. However, the market faces challenges such as high development costs, power consumption issues, and the need for constant innovation to keep up with evolving AI models. Despite these challenges, the market offers significant opportunities, particularly in sectors like healthcare, automotive, and finance, where the integration of ML chips can lead to groundbreaking innovations and improved efficiencies.

Read More - https://market.us/report/machine-learning-chip-market/

Emerging Trends

Edge Computing: Increasing demand for processing data at the edge of the network, reducing latency and improving real-time decision-making.

Energy-Efficient Chips: Development of chips that consume less power while maintaining high performance, addressing environmental concerns and operational costs.

Quantum Computing Integration: Exploration of quantum computing to handle more complex machine learning tasks, promising unprecedented processing power.

Neuromorphic Computing: Design of chips that mimic the human brain, enhancing the efficiency and speed of machine learning processes.

Customized AI Chips: Rise of application-specific integrated circuits (ASICs) tailored for specific machine learning tasks, providing optimized performance.

Top Use Cases

Autonomous Vehicles: Enhancing the processing capabilities of self-driving cars for real-time decision-making and navigation.

Healthcare Diagnostics: Improving the accuracy and speed of medical diagnoses through advanced image and data analysis.

Financial Services: Detecting fraud and managing risks by analyzing large datasets quickly and accurately.

Smart Home Devices: Powering intelligent home assistants and appliances that learn and adapt to user behaviors.

Retail Analytics: Enhancing customer experience through personalized recommendations and efficient inventory management.

Major Challenges

High Development Costs: Significant investment required for R&D and manufacturing of advanced ML chips.

Power Consumption: Balancing high performance with energy efficiency remains a critical challenge.

Heat Dissipation: Efficiently managing the heat generated by powerful chips to prevent overheating and damage.

Technological Obsolescence: Rapid advancements in AI technology can render existing chips outdated quickly.

Supply Chain Issues: Ensuring a steady supply of materials and components amidst global disruptions.

Market Opportunity

Healthcare Innovations: Opportunities to revolutionize medical diagnostics and treatment with faster, more accurate AI-driven analysis.

Automotive Advancements: Potential for significant growth in the autonomous vehicle sector, driven by improved ML chip performance.

Consumer Electronics: Increasing integration of ML chips in everyday devices, enhancing functionality and user experience.

Industrial Automation: Adoption of ML chips in manufacturing for predictive maintenance and process optimization.

Financial Technology: Growth in fintech solutions utilizing ML chips for better risk management and personalized services.

Conclusion

The Machine Learning Chip Market is poised for substantial growth, driven by the expanding use of AI across various industries. While the market faces several challenges, including high development costs and power consumption issues, the opportunities it presents are immense. Advances in edge computing, energy-efficient designs, and customized AI chips are setting the stage for the next wave of innovation. As industries continue to embrace AI and machine learning, the demand for powerful, efficient ML chips will only increase, making this a vibrant and dynamic market to watch.

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tekrashed · 4 months ago

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The growing demand of Natural Language Processing in Saudi Arabia

Natural Language Processing (NLP) is an artificial intelligence powered artificial intelligence tool that is designed to facilitate communication between computers and humans. The most advanced technology in the field of digital development, NLP has quickly made an impact in Saudi Arabia; particularly cities such as Jeddah, Riyadh and Dammam that utilize this artificial intelligence powered AI tool in their effort to encourage technological innovation while enhancing effectiveness across various sectors.

Understanding Natural Language Processing

Natural Language Processing, commonly called NLP is a method of analyzing and processing large amounts of language-related data. The technology allows machines to recognize, comprehend and interpret the human voice in a meaningful way and has multiple applications such as chatbots and virtual assistants, as well as the analysis of speech and translation.

Natural Language Processing in Jeddah

Technological Developments

Jeddah as a major commercial hub has seen the explosion in Natural Language Processing technology use in the businesses there, mostly for improving customer services as also streamlining their operations and finding insights within the data. The businesses there use NLP to retain customers in streamlining their operations, or to extract information from large data sets.

Enhancing Service to Customers Service

Chatbots that are powered through natural language processing quickly became essential to customer service in Jeddah offering prompt response and personalized recommendations that significantly improve the customer experience.

The Data Driven Decision Making

In Jeddah companies often depend heavily on Natural Language Processing (NLP) technology to analyse comments from customers as well as the information from social media gleaned through social networks, giving firms with the ability to understand customer preference, their sentiment analysis, and patterns, allowing them to take more informed decisions about providing services and offerings accordingly.

Natural Language Processing in Riyadh

Capitalizing on Innovation

As Riyadh serves as the capital in Saudi Arabia and technology center in Saudi Arabia, its use for various fields like health care, finance, and public service has witnessed a an increase in. The demand was primarily driven through the most cutting-edge AI devices designed for particular areas of improvement in financial services, public healthcare or finance.

Health Applications

NLP technology is now in widespread application in healthcare, helping to increase patient care as well as streamlining administration procedures. NLP algorithms are able to quickly look through medical records to find of pertinent information that aids physicians diagnose and manage their patients faster.

Financial Sector Integration

NLP will transform the Riyadh banking sector. Banks and financial institutions use NLP to provide better customer services as well as detect fraud and analyze market trends more securely, which can lead to more secure local and over the horizon. Applications for industrial impact analysis of

Natural Language Processing in Damman

Industrial Impact

Dammam known for its manufacturing process has embraced NLP to improve efficiency and increase innovation. Industries from Dammam use NLP methods to improve communications processes, improve processes, and achieve competitive advantages.

Production Efficiency

NLP technology has developed into a method to automate and optimize manufacturing processes, especially in the recent past. NLP technology can analyze manufacturing data to find inefficiencies areas and provide suggestions for improvement. This can lead to increased productivity, while reducing expenses.

Enhancing Logistics

NLP is an integral part in Dammam’s logistic sector through studying shipping information and customer feedback in order to enhance supply chains, speed up time to delivery, and improve the satisfaction of customers. Saudi Arabia offers ample opportunity to NLP growth.

The National Landscape of NLP in Saudi Arabia

Education and Research

Saudi Arabia is making significant expenditures in education and research to build a workforce that can propel advances in AI and NLP. Research institutes and universities alike have been developing the most cutting-edge NLP techniques while also creating a new generation of AI specialists.

Commercial Adoption

Companies all over Saudi Arabia are rapidly adopting NLP to improve customer experience improve efficiency and process flow, as well as gain information from information. From hospitality and retail to the finance and healthcare industries businesses across every industry have incorporated this new approach to improve performance, provide improved customer experience and gain insights from the data.

Benefits from NLP within Saudi Arabia

Customer Service��Chatbots powered by NLP and virtual assistants respond specific to each customer’s needs efficiently and accurately — for quicker service specifically designed to each client!

Data-Driven Intelligence: Through Natural Language Processing, businesses can now analyze massive amounts of text in order to get information on customer preferences, the latest market trends and operating efficiency.

Automatization of Routine Tasks: NLP technology simplifies the administrative and operational tasks, ensuring that employees can focus on greater value-added tasks. Improved Communication: Using NLP technology communications between businesses and customers as well as the organization, as well as data exchange are greatly enhanced and enhanced.

Improved efficiency: NLP helps businesses to run more efficiently through optimizing procedures and providing reliable information. As businesses operating in Saudi Arabia develop into stronger rivals, NLP becomes even more important for the companies.

Conclusion

Technology advancements and increasing demand for effective technology, data analytics, and the services of natural language processing within Saudi Arabia have experienced exponentially increasing need. AI applications that span Jeddah, Riyadh, and Dammam have been leading the transformation effort designed to improve customer experience by streamlining processes and making improvements across various areas of operation. They are driving substantial growth and progress in the coming an age of digital technology! In the future, by continuing to adopt AI and NLP strategies Saudi Arabia will experience rapid progress into the digital age and significant progress will be made in the transition to the next time!

FAQs

1. What Is Natural Language Processing (NLP)?

Natural Language Processing is an artificial intelligence field that focuses in interfacing computers with humans by using technologies for processing language like NLP to understand human language efficiently while also understanding and reacting appropriately to their messages.

2. What are the ways NLP Utilized in Jeddah?

NLP technology used by Jeddah Company. NLP technology at Jeddah Company is being employed to improve customer service with AI chatbots and also analyze social media and customer data that aids in making decisions using data-backed insights.

3. What aspects should Riyadh prioritize in order to advance NLP development?

Riyadh has witnessed NLP utilized in a variety of industries, including healthcare, to improve the quality of care for patients, and finance to improve customer service and detect fraudulent transactions, and market changes, in addition to numerous others.

4. What do you think NLP altering the industry of Dammam?

NLP has revolutionized industries in Dammam in Dammam by boosting production efficiency via automated processes and also improving logistics through analysis of the details of shipping records and customer feedback data and other pertinent business documents.

5. What are the advantages and advantages that come with NLP in Saudi Arabia?

Certain benefits and advantages associated the use of NLP could include better customer service, insight from data analysis and automated processes to improve efficiency, in customer service improving communication and enhancement.

For more information contact us on:

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lalsingh228-blog · 10 months ago

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AI for Speech Recognition Market is Set To Fly High in Years to Come

Advance Market Analytics published a new research publication on "AI for Speech Recognition Market Insights, to 2028" with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the AI for Speech Recognition market was mainly driven by the increasing R&D spending across the world.

Get Free Exclusive PDF Sample Copy of This Research @ https://www.advancemarketanalytics.com/sample-report/113270-global-ai-for-speech-recognition-market Some of the key players profiled in the study are: Nuance Communications (United States), Google LLC (United States), Amazon.com, Inc (United States), Apple, Inc. (United States), IBM Corporation (United States), Microsoft Corporation (United States), Baidu (China), iFLYTEK (China), Sensory, Inc. (United States), LumenVox LLC (United States). Scope of the Report of AI for Speech Recognition Speech recognition is a type of authentication technology that aids in receiving and comprehending human voice commands as well as carrying them out. This technique works by transforming commands into electronic signals, changing them into coding patterns, and transmitting them back to the device in digital format for final execution. Due to increases in processing capacity and improvements in internet connection, this technology has lately been adopted in mobile devices and other consumer goods, despite the fact that it was invented several decades ago. This tendency, combined with the growing popularity of artificial intelligence (AI) and virtual assistants like Apple Siri, Amazon Alexa, and Google Assistant, has fueled demand for this application in the electronics industry.

The titled segments and sub-section of the market are illuminated below:

by Type (Software, Hardware), Application (Automotive, Marketing, Automotive, Healthcare), Devices (Smartphones, Tablets, PCs and laptops), Deployment (Cloud base, On premises) Market Trends: Increasing Usage Of The AI-Based Voice Recognition Systems Develop Region

Opportunities: Rising Adoption Of Speech Recognition In Various Sectors

Rising Digitization And Government Policies Favoring Incentives For Digitization

Market Drivers: Increasing Demand Of Smart Devices Among People Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc. Have Any Questions Regarding Global AI for Speech Recognition Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/113270-global-ai-for-speech-recognition-market Strategic Points Covered in Table of Content of Global AI for Speech Recognition Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI for Speech Recognition market

Chapter 2: Exclusive Summary – the basic information of the AI for Speech Recognition Market.

Chapter 3: Displayingthe Market Dynamics- Drivers, Trends and Challenges & Opportunities of the AI for Speech Recognition

Chapter 4: Presenting the AI for Speech Recognition Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020

Chapter 6: Evaluating the leading manufacturers of the AI for Speech Recognition market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2023-2028)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source finally, AI for Speech Recognition Market is a valuable source of guidance for individuals and companies. Read Detailed Index of full Research Study at @ https://www.advancemarketanalytics.com/reports/113270-global-ai-for-speech-recognition-market

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.

#Global AI for Speech Recognition Market #AI for Speech Recognition Market Demand #AI for Speech Recognition Market Trends #AI for Speech Recognition Market Analysis #AI for Speech Recognition Market Growth #AI for Speech Recognition Market Share #AI for Speech Recognition Market Forecast #AI for Speech Recognition Market Challenges

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emaanderson · 2 years ago

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Digital Signal Processor Market Analysis By Growth, Emerging Trends and Future Opportunities Till 2027

Recent report published by research nester titled “Digital Signal Processor Market: Global Demand Analysis & Opportunity Outlook 2027” delivers detailed overview of the global digital signal processor market in terms of market segmentation by number of cores, by type, by end user and by region.

Further, for the in-depth analysis, the report encompasses the industry growth drivers, restraints, supply and demand risk, market attractiveness, BPS analysis and Porter’s five force model.

The global digital signal processor market is segmented into end user type such as consumer electronics, automotive, healthcare, manufacturing, and aerospace and defense and others. Among these segments, consumer electronics segment is expected to dominate the overall digital signal processor market during the forecasted period. Furthermore, rising demand for electronic gadgets and high production & sale of electronic gadgets also projected to trigger the growth of digital signal processor market in near future.

Global digital signal processor market is anticipated to mask a notable CAGR of around 8.7% during the forecasted period. Digital signal processors (DSP) are able to quickly process information and feed it back for use in numerous applications. Additionally, continuous enhancements and research & development activities in digital signal processor are the major dynamic factor behind the expansion of digital signal processor market.

Many semiconductor companies are adopting digital signal processor to develop low cost hardware equipped with advanced features, which further increase the growth of digital signal processor market in this region. Asia Pacific is anticipated to be the fastest growing market of digital signal processor as skilled labor at low cost is easily available in this region which results in the large scale production of digital signal processors.

Technological Advancements in Digital Signal Processor

Technological advancements with digital signal processors such as reduced chip area, low cost and low power consumption are major factors which are likely to drive the growth of global digital signal processor market. For instance, a China based company launched AI accelerator and the VLVm1 digital signal processor which can find applications in areas such as autonomous vehicles and intelligent transportation, smart cities, industrial automation, robotics, and machine vision.

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Wide Application Range of Digital Signal Processors

Digital signal processors are widely used in waveform, speech, and image coding applications. They are used to implement filters, transforms, and many other signal-processing tasks. Digital signal processors are flexible and can be used in devices for implementation. Digital signal processors are used in areas of audio signal, RADAR audio, speech processing, seismology, SONAR and voice recognition. Such applications of digital signal processors are expected to drive the growth of global digital signal processor market. Designing of low cost digital signal processor is a tough task as to maintain the balance between processor cost and performance.

The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and recent news and developments. On the whole, the report depicts detailed overview of the global digital signal processor market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.

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vkindarle · 3 years ago

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Future Global Speech Intelligibility Device Market Trend Analysis, Financial Report 2021

Global Speech Intelligibility Device Sales Consumption Status and Prospects, Industry Production Technology, Professional Market Research Study Report 2021

This report focuses on the Global Speech Intelligibility Device Market status, future forecast, growth opportunity, key market, and key players. This Market report covers the overall and all-inclusive analysis of the Speech Intelligibility Device Market with all its factors that have an impact on industry growth. This report is anchored on the thorough qualitative and quantitative assessment of the Market. The study provides details such as the market share of companies in order to present a broader overview of the key players in the Speech Intelligibility Device Market.

The complete knowledge of the Speech Intelligibility Device market based including the latest industry news, major opportunities in the leading industry, major players will help the emerging as well the existing market segments to gain competitive advantage. The market report covers an in-depth analysis of the actual situation of the industry, along with Business strategies, Industry chain structure, and plans for a new project with SWOT analysis, investment feasibility analysis, and investment return analysis.

Get an exclusive piece of research report @ https://www.marketresearchstore.com/sample/speech-intelligibility-device-market-806447

Additionally, it offers a clear understanding of global Speech Intelligibility Device market attributes such as production volume, values, market shares, and size. It also elaborates on global trading factors such as import, export, and local consumption. Moreover, it offers a competitive landscape of the global Speech Intelligibility Device market by providing the business profiles of various top-level industries. Collectively, it offers up-to-date informative data of the global Speech Intelligibility Device market which will be beneficial to make informed decisions in the businesses.

A complete study on the growth of the Speech Intelligibility Device market with respect to regions and countries is one of the critical and beneficial parts of this report. All these factors will help the reader to understand the overall market and to recognize the growth opportunities in the industry. Speech Intelligibility Device is the process of delivering Speech Intelligibility Device analytical data on inventory levels, consumer demand, sales, and supply chain movement as they are important in the process of marketing, and making procurement decisions. A further section highlighting Speech Intelligibility Device market dynamics that features the market growth drivers, restraints, challenges, trends, and opportunities.

Geographical Segmentation:

North America (United States, Canada)

Europe (Germany, Spain, France, UK, Russia, and Italy)

Asia-Pacific (China, Japan, India, Australia, and South Korea)

Latin America (Brazil, Mexico, etc.)

The Middle East and Africa (GCC and South Africa)

To get customization on given report ask for our experts @ https://www.marketresearchstore.com/inquiry/speech-intelligibility-device-market-806447

Speech Intelligibility Device Market Segmentation:

Segmentation by Industry Manufacturers: Embedded Acoustics, NTi Audio, Meyer Sound Laboratories, Acoustics Engineering, BrÃ¼El & Kj R

Segmentation by Product Type: 100-200 Hz, 200-400 Hz

Segmentation by End-use: Education Industry, Medical Industry

The Key Points of this Speech Intelligibility Device Market Report are:

1. To survey and forecast the market size share of Speech Intelligibility Device, in terms of value and volume.

2. Provide detailed information concerning the Speech Intelligibility Device major factors (opportunities, drivers, restraints, and industry-specific challenges) influencing the growth of the Speech Intelligibility Device market.

3. To study the future outlook and prospects for the Speech Intelligibility Device market with Marketing Price (Price and Margin, Factors of Price Change, Manufacturers Gross Margin Analysis)

4. To analyze the global key regions Speech Intelligibility Device market potential and advantage, opportunity and challenge, restraints and risks.

5. Detail Profile of the dominant players and Speech Intelligibility Device comprehensively analyses their market status in terms of ranking and core capability along with in-depth the Speech Intelligibility Device competitive landscape for the market leaders.

6. Study competitive developments like partnerships and joint ventures, Speech Intelligibility Device new product developments, expansions, and research and development of Speech Intelligibility Device market.

Finally, it focuses on the beneficial opportunities for growth, which promotes a way of turning a business idea into a venture. In addition to this, it gives a detailed description of top driving factors such as Speech Intelligibility Device Market for the studies. Restraints are also provided to study the risk factors in front of businesses.

Market Research Store is a vital platform that aims to cover domains such as healthcare, technology, chemicals, transportation, and many more. By keeping the focus on development as well as innovation, we make sure to generate well-researched, reliable, stanch information reports for our clients, further helping them in decision-making.

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#Speech Intelligibility Device Market Demand-Supply Speech Intelligibility Device Market Analysis Speech Intelligibility Device Market by Sha

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whizzystack-blog · 5 years ago

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Artificial Intelligence in the Energy Sector: Opportunities and Challenges

What lies in the store for AI in energy sector: Its potential applications and shortcomings

“Artificial Intelligence, Deep Learning and Machine Learning- whatever you are doing, if you don’t understand it — Learn it. Because you are otherwise going to be a dinosaur in 3 years.”

These words by American entrepreneur Marc Cuban can be a bit over-the-top but it puts a strong emphasis on how these modern technologies are gonna dominate almost every industry in the coming years. So today, we are gonna talk about one of these technologies- Artificial Intelligence (AI.) in detail and about it’s growing importance in specifically, the Energy Sector.

So, lets begin our article with some insights on AI.

Artificial Intelligence: An Introduction

AI is certainly the talk about the hour nowadays. In high-tech industry, AI is the one with most potential. But before proceeding and discussing further on this exciting technology, we’d like to first understand what AI means-:

Artificial intelligence (AI) makes it possible for machines to accomplish specific tasks by processing large amounts of information in form of data and recognizing patterns within the data. Today AI has taken a crucial place in many sectors and with increasing digitisation and increased flow of information everyday, the longer term for AI looks promising.

From retail to banking, from healthcare to manufacturing, AI is resulting in increased efficiency and security by enhancing the speed, precision and effectiveness of human efforts.

AI IN ENERGY SECTOR: AN OVERVIEW

With Artificial Intelligence expanding itself every day, energy sector has also not been left untouched by it. AI and energy sector are a perfect match to each other. AI thrives on data and the energy resources are flooded with huge chunk of data coming from power grids, wind-farm operations and even oil-companies. AI coupled with other technologies like cloud computing can process, stream, analyse and interpret this data precisely and with unimaginable speeds to make the energy sector more efficient and secure.

So, let’s begin our discussion on what future lies for AI in this ever- changing energy sector and what challenges and opportunities lie ahead to it:

Opportunities for AI in Energy Sector-:

The numerous opportunities for AI can be narrowed down to these five points-

AI in power grids : Smart grids

Intelligent Energy Storage(IES)

AI in power trading: AI forecasting

Resource Management

Preventing disaster

AI in power grids : Smart grids

As power is being generated from more volatile sources like solar and wind, the requirement is that power generation must react intelligently to consumption (and vice versa). With AI, we can evaluate, analyse and control participants connected to each other via these smart grids.

Intelligent Energy Storage(IES)

Smart storage, also known as Intelligent Energy Storage(IES) can effectively handle these disrupt changes in power supply. If we combine renewable energy with AI-powered storage ,we can greatly improve energy storage management, increase business value and minimize power losses.

AI in power trading: AI forecasting

Use of AI in power trading can help improve forecasting. Improving their predictive analysis methods by the use of AI can serve many goals for energy companies: Cost Cutting, Power Saving, Being ready for changing conditions and also improving their existing customer service. With the help of machine learning and deep learning, it’s possible to bring forecasting to the next level in the energy industry .The cost of error in energy industry is very high, which means that precision of highest level is required.

Ex- World’s largest electricity producer company GE Power is working on incorporating AI in its energy supply change to enhance precision and efficiency.

Resource Management

Suppliers can use AI to predict for demand in advance or check for problems to save resources wherever possible. They can therefore have optimal utilization of their resources, hence increasing efficiency.

AI can also enable users to save electricity and reduce their monthly bills. With AI enabled system, the networked devices can reduce power bills by reacting to prices on electricity market.

Preventing disaster

Challenges for AI in the energy sector

By learning about so many potential applications of AI. in the energy sector, you would guess that it’s gonna be a pretty easy path for it in this industry. But turns out, that the path isn’t really without its obstacles. So, let’s take a look at the major challenges which has to be cleared before AI takes a giant domination in this industry-:

Lack of expertise and finances

Data privacy and Security

Data consumption by AI

Let us read about each challenge one-by-one:

Lack of expertise and finances

For a shift to AI enabled energy sector, we require a large number of employees with sufficient technical expertise on AI who could be able to lead this transition, but that’s not present. Moreover, the conservative approach of some organisations and huge risks associated with data compels many companies to not join this AI revolution.

Moreover, this implementation of technology in the energy sector would require developing, adjusting and monitoring software which requires lot of resources and finances.

Data Privacy and Security

Data privacy is one of the biggest issues of this century and AI literally thrives on data, so it is natural for data security to be a challenge for AI in the energy sector. Energy supply and entire energy system are prone to cyber-attacks and data theft. Being integral part of a country’s infrastructure, cybersecurity needs to be insured before completely handling over our data to the technology.

Data Consumption by AI itself

CONCLUSION!

It’s a no-brainer that the future lies in AI and furthermore, the capability of AI to revolutionize the energy sector must also not be doubted. AI can increase the efficiency, speed and security of energy consumption and generation and could lead the constant transitions in this sector to meet the changing climate needs. But it also goes without saying that even this “intelligent technology” has its own shortcomings which needs to be taken care of before we can embrace it with open hands.

If you liked the article and want to connect with us further, you can always have a look at our website

www.whizzystacks.com

#artificialintelligence #energy #powergrid

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industryinsights · 3 years ago

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Pediatric Neurology Device Market Size, Revenue, Trends, Growth Factors, Region and Country Analysis & Forecast To 2027

The pediatric neurology devices market size is expected to grow at a CAGR of 6.3% during the forecast period, 2017-2023.

Pediatric Neurology is a medical segment that deals in diagnosing, treating and managing disorders of the brain and nervous system of children. Pediatric neurology devices are designed to be useful in diagnosis and treatments of various neurological complications occurring in children such as disorders of the nervous system, brain, spinal cord, nerves, muscles, and pain. Request Free Sample Copy at: https://www.marketresearchfuture.com/sample_request/565

Common neurological disorders include stroke, Alzheimer's disease, ADHD, epilepsy, headache, Parkinson's disease, multiple sclerosis, sleep disorders, pain, brain, tremor, and spinal cord injuries, brain tumors, peripheral nervous disorders and amyotrophic lateral sclerosis occurring in children. Also, some not so serious issues such as seizures, delayed speech, poor muscle tone, or frequent headaches can be treated in pediatric neurology. The pediatric neurology sector has been witnessing the emergence of many advent devices over the past few years that are offering effective outcomes. As a result, the global pediatric neurology device market is increasing pervasively. Factors such as the increasing prevalence of neurological disorders in children are fuelling the market growth to an extent. Also, the risk factors for these disorders are speeding up the market growth, creating the demand for the better diagnostic and treatment methods. Additional factors substantiating the market growth include increasing governmental funding and programs especially in the developing regions to support the R&D activities undertaken for the invention of new devices. Technological advancements that took place in the smart and connected devices and the proliferation of some ubiquitous technologies such as the Artificial Intelligence (AI) and Internet of Things (IoT) in the pediatric neurology devices foster the market growth. Furthermore, factors fostering the market growth include the changing lifestyle led by the growing urbanization and industrialization alongside the improving economic conditions that enable access to the quality care and to the improved healthcare worldwide. Advancements in surgeries, fuel the market growth. Most of the countries around the world, including well-developed and developing regions, are grappling with shortages of pediatric neurology devices. To respond to this situation, manufacturers are developing devices with the advanced technologies. To identify the unmet clinical needs typically, in close collaboration, some care-giving facilities are aiming to have high-quality screening available in their facilities. Indeed, the intervention of AI technology in medical devices as such could improve the specificity of diagnosis, enhance the confidence of neurologists and improve the estimation of excision margins while reducing the total diagnosis cost. On the flip side, factors such as huge costs associated with these devices and the low or no awareness towards the availability and advantages of these devices in the developing as well as in the developed economies are some of the major factors obstructing the market growth. However, new products and services made available in the developing and developed countries by the matured market players are some of the factors expected to support the market growth during the anticipated period, filling up the demand and supply gap. Global Pediatric Neurology Device Market- Segments MRFR has segmented its analysis into six key dynamics for the convenience of understanding;

By Types : Neurosurgery Devices, Cerebrospinal Fluid (CSF) Management Devices, and Neurostimulator among others.

By Services & Treatments : Intrathecal Baclofen Therapy, Neurological Evaluations, Vagal Nerve Stimulation, and Electroencephalogram, among others.

By Neurological Subspecialties: Neuro-Oncology, Neuromuscular, Neonatal Neurology, Neuro-Immunology, and Stroke among others.

By Age Groups : Neonates, Infants, Children, and Adolescents, among others.

By End-Users : Hospitals, Healthcare Centers, and Neurological Research Centers among others.

By Regions : Europe, North America, APAC and the Rest-of- the-World. Global Pediatric Neurology Device Market- Regional Analysis Globally, North America is dominating the global Pediatric Neurology device market. Furthermore, factors such as extensive uptake of technologically advanced medical devices, increasing governmental support for R&D activities and high expenditures in the neurological care substantiate the market growth include. With the growing prevalence of neurological disorders in children, the market is expected to evaluate phenomenally by 2023. Europe region is another lucrative market for pediatric neurology device. Increasing focus on the development of advent diagnostic devices, rising government support for R&D activities is contributing to the market growth. Also, the increasing numbers of specialty services offered by various healthcare providers foster the growth of the market in the region. The Asia Pacific is emerging as a promising market for pediatric neurology devices, growing rapidly. Increasing incidents of neurological disorders are fuelling the market growth. Moreover, factors such as the augmenting demand for quality devices in the healthcare and proliferating healthcare technology is projected to provide impetus to the market growth, leading to the increasing the uptake of advanced equipment.

Global Pediatric Neurology Device Market- Competitive Analysis The competitive market of pediatric neurology devices appears to be is fragmented with a large number of players in the market churning the competition. The increasing incidences of drug resistance have opened doors for the development of new devices and opportunities for the new entrants and leaders alike. The rises of spurious and counterfeit devices have reduced the total market revenues, displacing standard devices off the market. Key Players: Some of the leaders in the market which are profiled in the MRFR analysis are Ethicon Inc. (U.S.), Elana, Inc. (the Netherlands), Inova Health System (U.S.), The Nemours Foundation (U.S.), Medtronic (U.S.), Stryker Corporation (U.S.), B.Braun Melsungen AG (Germany), Boston Scientific Corporation (U.S.), Integra LifeSciences Corporation (U.S.), and St. Jude Medical, LLC (U.S.).

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unlovedaddict · 6 years ago

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How to Use SEO to 2019

SEO or else known since Search Engine Optimization. Because when somebody searches for SEO via tone of voice search, he would speak ‘what is SEO' or ‘How in order to do SEO' rather than just requesting SEO. The search engine informs 500-600 updates annually and the particular SEOs need to comply along with these changes to ensure that will their websites follow legitimate optimisation practices. They are considered a crucial Local SEO search engine ranking factor. SEO within 2018 means greeting the consumer with the exact information these people are looking for at the particular exact time they are searching for it. This is often on the variety of platforms, from tone of voice search to local businesses plus online shopping. Google algorithms for SEO are usually quite complex and are becoming updated constantly to keep company quick-witted and responsive. At the same period, the rise of messaging applications and personal assistants has shown new challenges which SEO should continue to overcome in 2018. On the particular other hand, traffic coming through SEO is free and organic” and can take a lengthy time to obtain recognized, whilst the traffic generated from PAY PER CLICK (Pay Per Click) and SEARCH ENGINE MARKETING (Search Engine Marketing) is just not free of charge and companies pay for to look on the top of the particular Search Engine to get fast not organic results. So, I would certainly declare 2018 is a problem for Google, just as very much as it might be intended for SEOs. We have several good rankings, but we are usually always trying to improve and observe what the future holds intended for SEO. In 2018, the user experience is the particular center of development as properly as the key point intended for the SEO strategies. SEO continues to be king of the Internet, plus businesses will continue to require valuable, and unique content that will will meet the need associated with their company in the yrs ahead. Backlinks are one of the most significant SEO factors. In order to give you a head begin, here are the SEO tendencies and techniques we expect in order to dominate in 2018. Debbie A. Everson is the particular CEO of, experienced SEO Specialists and Search Engine Optimization Company to 2, 000 small companies. Off-Page SEO refers in order to all the things that may be done directly OFF your own website to help you much better search engine positions, such since social networking, article submission, discussion board & blog marketing, etc. SEO (or Search Engine Optimization ) is probably the most significant competitive digital marketing advantage that you could have over your competition. 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SEARCH ENGINE OPTIMIZATION is the discipline that enables people and websites to gain access to the potential of the internet. Search motor optimization (SEO) is the procedure by which a website is usually optimized for making sure this has the highest position position around the search engines results web page. Create new and fascinating blogs, have them optimized regarding SEO, link to other appropriate pages, and share them upon social networking. Associated with all the SEO tools out there there, thousands of online internet marketers, small businesses proprietors, and SEO's prefer to use Ahrefs in order to help them improve their research rankings. Key phrases are like a compass intended for the SEO campaigns: they inform you the best and whether or not or not you're making improvement. Knoxweb understands search motor technology, and can set a person up with an SEO advertising campaign which will see results. This particular technique involves collecting a checklist of brand mentions of your own website using any SEO device and reaching out to sites to convert your brand describes into backlinks. As search engines still develop more advanced technologies plus responsiveness to online searches, fresh SEO techniques will emerge in order to keep companies ranking high upon search engines. If you increase your own site loading speed, develop the beautiful mobile-friendly design, and construction your website for users, a person will notice a positive effect on your SEO performance. SEO stands for research engine optimization. ” It is definitely the procedure for getting visitors from the free, ” natural, ” editorial” or natural” lookup engine results on search motors. This typically involves using advanced SEO tags (e. g., tags) that search motors like google reference when the more visual search engine outcomes page is displayed. Focal points for SEO in 2018 functions suggestions on what to prioritise in 2018, including on-site research, topical, local and mobile SEARCH ENGINE OPTIMIZATION and where SEO capabilities ought to sit within organisations. We would certainly construct a blog post that will has the SEO related key phrases in it and we might put the link of the particular website that people are trying in order to build the back link in order to within text of that blog site post. My SEARCH ENGINE OPTIMIZATION guide will break search motor optimization down for you. Meta description is not a immediate SEO ranking factor but this helps in ranking indirectly. Once such an interview gets published, it nearly always gets a lot of backlinks and SEO value. SEO a lot more usually discuss domain trust plus domain authority based on the particular number, type and quality associated with incoming links to a web site. As electronic assistance gets more accurate right now there is a great opportunity each for SEO and content, reaping helpful benefits from a growing market that expands the brand with a consumer in a unique but nevertheless relevant and useful way. Not simply search engine algorithm changes yet also the way in which usually people search keeps changing, as a result, considering the above 10 SEARCH ENGINE OPTIMIZATION trends- digital marketers and company owners could make their site ready for ranking high within 2018. Whenever you look at huge brand names like Amazon and Walmart, a person see how powerful SEO may be. When you search intended for nearly every consumer product on Search engines, Amazon and Walmart are even more than likely to appear upon top. In the similar vein, you can't check out an SEO blog at the particular moment without seeing a function on Voice Search. As a matter associated with fact, the power of any kind of website lies in the DE UMA. Domain Authority is SEOmozs determined metric for how well the given domain will probably position in search results. SEO training courses will create you well-versed with various SEO methods like link building, keyword study, optimizing content by using the particular right keywords, optimizing the web site structure, off-site SEO, PPC marketing and many more. Therefore in addition to adapting the particular SEO technique of writing content material based on keywords, it is usually SEO 2019 Slide important for businesses to develop a responsive website, both with regard to mobiles and computers. SEO” stands regarding Search Engine Optimization - SEARCH ENGINE OPTIMIZATION is the process of obtaining your website to rank increased in search engines. The best thing a person can do to assist your own local SEO ranking is in order to ensure that all existing listings have got the correct Name, Address and Phone Number (NAP) and web site URL.

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shashiemrf · 3 years ago

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Robotics Market Size | Industry Research Report 2027

Market Highlights

The global robotics market is projected to be valued at USD 215.21 billion by the end of 2027, registering a CAGR of more than 25.2% during the forecast period.

Robots are programmable machines that are useful in carrying out different autonomous and non-autonomous actions. Robotics is an industry that is related to the construction, operation, and engineering of robots. The main objective of a robot is to manipulate the objects by picking, moving, and modifying the physical properties of objects.

The primary factor driving the global robotics market is the development of artificial intelligence (AI) technology. Robotics is one of the fields associated with AI, which involves mechanical and computer-controlled devices to perform operations requiring extreme precision. The advanced artificial intelligence technology interacts with fully developed high-precision machine capabilities of robots to improve productivity, create an expert system, and integrate intelligence within the machines. On January 9th, 2018, Sony Corporation launched Aibo, an autonomous entertainment robot incorporated with artificial intelligence and analytics to automate the movement of robots.

Furthermore, the adoption of digitization, artificial intelligence, and machine learning helps offer a new generation of entertainment robots. AI enables advanced facial recognition, speech recognition, and emotion recognition, for which sensors are integrated into the robots. Therefore,the rising demand for entertainment robots in retail for customer engagementis one of the key factors creating new growth opportunities for players in the global robotics market.

MRFR recognizes the following companies as the key players in the global robotics market—Universal Robots A/S (Denmark), Boston Dynamics (U.S.), iRobot Corporation (U.S.), Nachi-Fujikoshi Corp. (Japan), Kawasaki Heavy Industries, Ltd. (Japan), Honda Motor Co. Ltd. (Japan), ABB Group (Switzerland), Sony Corporation (Japan), Mitsubishi Electric Corporation (Japan), Northrop Grumman Corporation (U.S.), Omron Corporation (Japan), Fanuc Corporation (Japan), KUKA AG (Germany), Yaskawa Electric Corporation (Japan), and DENSO Corporation (Japan).

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COVID-19 Impact Analysis

COVID-19 has severely impacted and disrupted supply chain hubs across the globe. China, one of the major manufacturing hubs, has registered a decline of ~14% in the production capacity and a decline of ~40% in global electronic component shipments. COVID-19 has infected the Global Value Chain hub, wherein China played an important role in providing raw materials, assembly of products, and final dispatch. Since most electronic component manufacturing companies are from Japan, Taiwan, and China, there is an added pressure due to the exchange rates of local currencies to USD. When revenues in USD are converted to the local currencies, the manufacturers end up with far less.

Segment Analysis

The global robotics market has been classified on the basis of type, mobility, end user, and region.

On the basis of type, the global robotics market has been segmented into Selective Compliance Articulated Robot Arm (SCARA), Cartesian, Articulated, Cylindrical, and Parallel. The articulated segment accounted for the largest market share in 2020 and is estimated to register a CAGR of 24.1% during the review period.

Based on mobility, the global market is bifurcated into fixed robots and mobile robots. The mobile robots segment accounted for the larger market share in 2020; it is expected to register the higher CAGR of 27.5% during the assessment period. Mobile robots combine artificial intelligence with physical robot movement, which allows them to navigate their surroundings.

By end user, the robotics market has been categorized into medical, entertainment, field, logistics, defense, public safety, manufacturing, and others. Robots are used in the manufacturing industry to simplify the entire procedure, from raw material handling to finished product packing.

Key Findings of the Study:

The global robotics market is projected to reach a value of USD 215.21billion by 2027, with a CAGR of around 25.2% during the forecast period from 2021 to 2027.

Asia-Pacific accounted for the largest regional market share in 2020; the major countries with the highest number of industrial robots include South Korea, Singapore, Japan, China, Thailand, Malaysia, and India.

South America has the slowest robot adoption rate as compared to other regions. However, the increased use of industrial robots as part of industrial automation has become mandatory by governments in several South American countries, which boosts the growth of the robotics market.

The Middle East & Africa is an emerging market for robotics. The region has registered high growth in the entertainment robot category with augmented reality implications.

The rising demand for entertainment robots in retail for customer engagement is expected to present lucrative opportunities for the players in this market.

Table of Content:

4 MARKET DYNAMICS 23

4.1 OVERVIEW 23

4.2 DRIVERS 24

4.2.1 GROWTH IN THE ADOPTION OF INDUSTRIAL ROBOTICS 24

4.2.2 DEVELOPMENT OF ARTIFICIAL INTELLIGENCE TECHNOLOGY 24

4.3 RESTRAINT 25

4.3.1 HIGH INITIAL COST AND TECHNICAL COMPLEXITY 25

4.4 OPPORTUNITY 26

4.4.1 RISING DEMAND FOR ENTERTAINMENT ROBOTS IN RETAIL FOR CUSTOMER ENGAGEMENT 26

4.5 COVID-19 IMPACT ANALYSIS 26

4.5.1 IMPACT ON SEMICONDUCTOR COMPONENT MANUFACTURERS 26

4.5.2 IMPACT ON THE GLOBAL ROBOTICS MARKET 27

4.5.2.1 IMPACT ON SUPPLY CHAIN 27

4.5.2.2 PRICE VARIATION OF KEY RAW MATERIALS 27

4.5.2.3 PRODUCTION SHUTDOWN 28

4.5.2.4 IMPACT ON MARKET DEMAND 28

5 MARKET FACTOR ANALYSIS 29

5.1 VALUE CHAIN ANALYSIS 29

5.1.1 HARDWARE/COMPONENT MANUFACTURERS 29

5.1.2 SOFTWARE DEVELOPERS 29

5.1.3 SYSTEM INTEGRATORS 29

5.1.4 END-USERS 30

5.2 PORTER’S FIVE FORCES MODEL 30

5.2.1 THREAT OF NEW ENTRANTS 31

5.2.2 BARGAINING POWER OF SUPPLIERS 31

5.2.3 THREAT OF SUBSTITUTES 31

5.2.4 BARGAINING POWER OF BUYERS 31

5.2.5 INTENSITY OF RIVALRY 31

6 GLOBAL ROBOTICS MARKET, BY MOBILITY 32

6.1 OVERVIEW 32

6.1.1 MARKET ESTIMATES & FORECAST, 2019–2027 32

6.1.2 MOBILE ROBOTICS 33

6.1.3 FIXED ROBOTICS 33

7 GLOBAL ROBOTICS MARKET, BY TYPE 34

7.1 OVERVIEW 34

7.1.1 MARKET ESTIMATES & FORECAST, 2019–2027 34

7.1.2 SCARA 35

7.1.3 CARTESIAN 35

7.1.4 ARTICULATED 35

7.1.5 CYLINDRICAL 35

7.1.6 PARALLEL 35

7.1.7 OTHERS 36

8 GLOBAL ROBOTICS MARKET, BY END USER 37

8.1 OVERVIEW 37

8.1.1 MARKET ESTIMATES & FORECAST, 2019–2027 37

8.1.2 MANUFACTURING 38

8.1.3 ENTERTAINMENT 38

8.1.4 DEFENSE 38

8.1.5 MEDICAL 39

8.1.6 FIELD 39

8.1.7 LOGISTICS 39

8.1.8 PUBLIC SAFETY 39

8.1.9 OTHERS 39

9 GLOBAL ROBOTICS MARKET, BY REGION 40

9.1 OVERVIEW 40

9.1.1 MARKET ESTIMATES & FORECAST, 2019–2027 40

9.2 NORTH AMERICA 41

9.2.1 US 44

9.2.2 CANADA 46

9.2.3 MEXICO 47

9.3 EUROPE 49

9.3.1 UK 52

9.3.2 GERMANY 54

9.3.3 FRANCE 55

9.3.4 ITALY 57

9.3.5 REST OF EUROPE 58

9.4 ASIA-PACIFIC 60

9.4.1 CHINA 63

9.4.2 JAPAN 65

9.4.3 INDIA 66

9.4.4 SOUTH KOREA 68

9.4.5 REST OF ASIA-PACIFIC 69

9.5 REST OF THE WORLD 71

9.5.1 MIDDLE EAST & AFRICA 74

9.5.2 SOUTH AMERICA 76

10 COMPETITIVE LANDSCAPE 78

10.1 COMPETITIVEOVERVIEW 78

10.2 MARKET SHARE ANALYSIS 78

10.3 COMPETITIVE BENCHMARKING 79

10.4 KEY DEVELOPMENTS & GROWTH STRATEGIES 80

10.4.1 PRODUCT LAUNCHES/PRODUCT DEVELOPMENTS 80

10.4.2 COLLABORATIONS/PARTNERSHIPS/JOINT VENTURES 83

11 COMPANY PROFILES 85

11.1 UNIVERSAL ROBOTS A/S 85

11.1.1 COMPANY OVERVIEW 85

11.1.2 FINANCIAL OVERVIEW 85

11.1.3 PRODUCTS OFFERINGS 85

11.1.4 KEY DEVELOPMENTS 86

11.1.5 SWOT ANALYSIS 87

11.1.6 KEY STRATEGIES 87

11.2 BOSTON DYNAMICS 88

11.2.1 COMPANY OVERVIEW 88

11.2.2 FINANCIAL OVERVIEW 88

11.2.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 88

11.2.4 KEY DEVELOPMENTS 89

11.2.5 KEY STRATEGIES 89

11.3 IROBOT CORPORATION 90

11.3.1 COMPANY OVERVIEW 90

11.3.2 FINANCIAL OVERVIEW 90

11.3.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 91

11.3.4 KEY DEVELOPMENTS 91

11.3.5 SWOT ANALYSIS 92

11.3.6 KEY STRATEGIES 92

11.4 NACHI-FUJIKOSHI CORP 93

11.4.1 COMPANY OVERVIEW 93

11.4.2 FINANCIAL OVERVIEW 93

11.4.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 94

11.4.4 KEY DEVELOPMENTS 95

11.4.5 SWOT ANALYSIS 96

11.4.6 KEY STRATEGIES 96

11.5 KAWASAKI HEAVY INDUSTRIES, LTD 97

11.5.1 COMPANY OVERVIEW 97

11.5.2 FINANCIAL OVERVIEW 97

11.5.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 98

11.5.4 KEY DEVELOPMENTS 99

11.5.5 SWOT ANALYSIS 99

11.5.6 KEY STRATEGIES 99

11.6 HONDA MOTOR CO. LTD 100

11.6.1 COMPANY OVERVIEW 100

11.6.2 FINANCIAL OVERVIEW 100

11.6.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 101

11.6.4 KEY DEVELOPMENTS 101

11.6.5 SWOT ANALYSIS 102

11.6.6 KEY STRATEGIES 102

11.7 ABB LIMITED 103

11.7.1 COMPANY OVERVIEW 103

11.7.2 FINANCIAL OVERVIEW 104

11.7.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 105

11.7.4 KEY DEVELOPMENTS 106

11.7.5 SWOT ANALYSIS 107

11.7.6 KEY STRATEGIES 107

11.8 SONY CORPORATION 108

11.8.1 COMPANY OVERVIEW 108

11.8.2 FINANCIAL OVERVIEW 108

11.8.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 109

11.8.4 KEY DEVELOPMENTS 109

11.8.5 SWOT ANALYSIS 110

11.8.6 KEY STRATEGIES 110

11.9 MITSUBISHI ELECTRIC CORPORATION 111

11.9.1 COMPANY OVERVIEW 111

11.9.2 FINANCIAL OVERVIEW 112

11.9.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 113

11.9.4 KEY DEVELOPMENTS 113

11.9.5 SWOT ANALYSIS 114

11.9.6 KEY STRATEGIES 114

11.10 OMRON CORPORATION 115

11.10.1 COMPANY OVERVIEW 115

11.10.2 FINANCIAL OVERVIEW 116

11.10.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 116

11.10.4 KEY DEVELOPMENTS 117

11.10.5 SWOT ANALYSIS 118

11.10.6 KEY STRATEGIES 118

11.11 FANUC CORPORATION 119

11.11.1 COMPANY OVERVIEW 119

11.11.2 FINANCIAL OVERVIEW 119

11.11.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 120

11.11.4 KEY DEVELOPMENTS 121

11.11.5 SWOT ANALYSIS 122

11.11.6 KEY STRATEGIES 122

11.12 NORTHROP GRUMMAN CORPORATION 123

11.12.1 COMPANY OVERVIEW 123

11.12.2 FINANCIAL OVERVIEW 123

11.12.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 124

11.12.4 KEY DEVELOPMENTS 124

11.12.5 SWOT ANALYSIS 125

11.12.6 KEY STRATEGIES 125

11.13 KUKA AG 126

11.13.1 COMPANY OVERVIEW 126

11.13.2 FINANCIAL OVERVIEW 127

11.13.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 128

11.13.4 KEY DEVELOPMENTS 129

11.13.5 SWOT ANALYSIS 130

11.13.6 KEY STRATEGIES 130

11.14 YASKAWA ELECTRIC CORPORATION 131

11.14.1 COMPANY OVERVIEW 131

11.14.2 FINANCIAL OVERVIEW 132

11.14.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 133

11.14.4 KEY DEVELOPMENTS 133

11.14.5 SWOT ANALYSIS 134

11.15 DENSO CORPORATION 135

11.15.1 COMPANY OVERVIEW 135

11.15.2 FINANCIAL OVERVIEW 135

11.15.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED 136

11.15.4 KEY DEVELOPMENTS 136

11.15.5 SWOT ANALYSIS 137

11.15.6 KEY STRATEGIES 137

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virtualcollectiveparadise · 3 years ago

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Speech-to-Text API Market:2027 Trends, Segmentation, Regional Outlook, Future Plans

Speech-to-Text API

Speech-to-Text API Market

The qualitative and quantitative parts of an in-depth primary and secondary study on the Speech-to-Text API market are both important. The research offers a trustworthy market share analysis that reveals subtle business patterns and sophisticated operational models, as well as an evaluation of business development strategies, advanced supply chain systems, innovative sales and marketing approaches, and product/project development. The research also calculates the actual industry valuation, as well as market share and size parameters at the global and country levels. The Speech-to-Text API market forecast included in the study illustrates possible market sizes and projected market share, as well as expected growth forecasts.

Key players:

o Google o Microsoft o IBM o Nuance Communications o Verint o Speechmatics o Vocapia Research o Twilio o Baidu o Facebook o iFLYTEK o Govivace o Deepgram o Nexmo o VoiceBase o Voci o GL Communications

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Speech-to-Text API market Segmentation:

Drivers:

• High Utilization of Artificial Intelligence With the invention and quick adoption of artificial intelligence and machine learning, conversational devices are able to properly understand speech which enhances self – learning abilities of the system. Moreover, AI–based speech and voice recognition systems are capable of capturing the complete agent-customer interaction to provide hidden feedback and opportunities. Therefore, such efficient use of artificial intelligence could be one of the major reasons for driving the market of speech–to–text API, during the forecast period.

Restraint:

• Data Security Privacy issues with the voice-enabled devices act as one of the major restraints, and could hamper the growth of the market for the speech – to – text API, during the forecast period. For example, when Google LLC reported a privacy issue in 2019, by its AI-based speech recognition, it was restricted by Germany’s data protection commissioner for listening to Europe’s voice recordings.

***

The qualitative components of the Speech-to-Text API market research piece include market drivers, restraints, major trends, opportunities, and challenges. The most crucial variables increasing the opportunistic landscape of the Speech-to-Text API market are correctly enlisted in a complete analysis of the market drivers. The ability to accurately categorize market drivers and restraints allows for a clear demarcation of growth stimulators and inhibitors, giving clients simply digestible and important information. The study examines the important trends that are driving the Speech-to-Text API market's growth and development throughout the projected period, both current and emerging.

The COVID-19 impact analysis is a section of the global Speech-to-Text API market research report that is mostly summarised. The research article explains the disruptions caused when an unprepared industrial environment was exposed to a brutal crisis that effectively swept away business dynamics all over the world, obstructing distribution networks and supply chains with the consistently implemented lockdown regulations imposed to stop the pandemic from spreading. With limited production capacity and the remaining population already fighting an unknown biological entity, the global Speech-to-Text API market was negatively damaged, with a precipitous reduction in demand for products and financial capabilities exposed to the unstable infrastructure.

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The purpose of the global Speech-to-Text API market study is to provide vital information on industry deliverables including market size, valuation projections, and sales volume. The Speech-to-Text API research provides product information as well as benefits for readers looking to expand their business opportunities and increase their annual growth rate over time. Similarly, the study identifies different potential possibilities for the Speech-to-Text API market in the next years. It's calculated how much money the market's sales bring in. This report also includes information on all of the regions and nations, as well as regional growth statistics such as volume, market size, and value, as well as pricing information.

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industrynewshour · 3 years ago

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Digital Signal Processor Market International market, Revenue, Development Forecast 2021-2024

Recent report published by research nester titled “Digital Signal Processor: Global Demand Analysis & Opportunity Outlook 2024” delivers detailed overview of the global digital signal processor market in terms of market segmentation by number of cores, by type, by end user and by region.

Further, for the in-depth analysis, the report encompasses the industry growth drivers, restraints, supply and demand risk, market attractiveness, BPS analysis and Porter’s five force model.

In terms of regional platform, North America accounted for the largest market of global digital signal processor in terms of revenue in 2017. North America has a huge market for health care industry and electronics industry. Digital signal processors are widely used in these industries which contributed to the growth of digital signal processor market in this region. Many semiconductor companies are adopting digital signal processor to develop low cost hardware equipped with advanced features, which further increase the growth of digital signal processor market in this region. Asia Pacific is anticipated to be the fastest growing market of digital signal processor as skilled labor at low cost is easily available in this region which results in the large scale production of digital signal processors.

Technological Advancements in Digital Signal Processor

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Wide Application Range of Digital Signal Processors

This report also provides the existing competitive scenario of some of the key players of the global digital signal processor market which includes company profiling of Altera Corporation, Freescale Semiconductor, Infineon Technologies AG, Renesas Electronics Corporation, Xilinx, NXP Semiconductors, Texas Instruments Incorporated, Samsung, Fujitsu, Intel Corporation and Analog Devices, Inc. The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and recent news and developments. On the whole, the report depicts detailed overview of the global digital signal processor market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.

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Research Nester is a leading service provider for strategic market research and consulting. We aim to provide unbiased, unparalleled market insights and industry analysis to help industries, conglomerates and executives to take wise decisions for their future marketing strategy, expansion and investment etc. We believe every business can expand to its new horizon, provided a right guidance at a right time is available through strategic minds. Our out of box thinking helps our clients to take wise decision so as to avoid future uncertainties.

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decisionforsight · 3 years ago

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Global Intelligent Virtual Assistant Market

Global Intelligent Virtual Assistant Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts to 2030

An intelligent virtual assistant is a software integrated into modern devices which has high performance, energy-efficient, and cost-saving features for an individual and organizations use. This software is enabled into the devices as per their requirements like for an individual use, this software can be embedded in the smartphones, whereas for an organizational point of view they can be clubbed with AI to make the machines work. Implementation of intelligent virtual assistants (IVA) within the organizations can lead to increase in productivity and cost-saving. These IVA enabled devices can perform the tasks more precisely, in a shorter duration of time and can achieve productivity by providing quality work. In day to day activity we have been using this software in our smartphones simply by a click, like speech-to-text, text-to-speech, and speech-to-speech, and others. The global intelligent virtual assistant market size was valued to be more than USD 4718.98 billion in 2020 and it is expected that the revenue will reach USD 110719.2 billion by 2030. The anticipated growth will be CAGR of 37.10% during 2020- 2030.

Download Sample Copy of the Report to understand the structure of the complete report (Including Full TOC, Table & Figures) @ https://www.decisionforesight.com/request-sample/DFS020221

Market Dynamics and Factors:

Owing to the introduction of intelligent virtual assistants, it has been noticed that the customer experience has grown better and individuals are easily adopting the technology in their day to day life. By the use of intelligent virtual assistants, the direct interaction like a call to call services has reduced and AI-enabled chat bots can now answer the questions of customers. This process has to lead to an increase in customer satisfaction and this growing popularity is driving the intelligent virtual assistant market growth. However, the high cost of devices and lack of skilled professionals are restraints in the market growth. Also, due to the rapid growth of technologies like Internet of Thing (IoT) has prompted the intelligent virtual assistant market growth. However, there has been always the issue of security and due to the rise in the data privacy cases and its demand, it can be consider as a major constraint for the intelligent virtual assistant market growth.

Market Segmentation:

Global Intelligent Virtual Assistant Market – By Product Type

Chatbot

Smart Speakers

Global Intelligent Virtual Assistant Market – By Application

BFSI

Consumer Electronics

Automotive

Healthcare

Education

Retail

IT & Telecom

Travel & Hospitality, and

Others

Global Intelligent Virtual Assistant Market – By Technology

Automatic Speech Recognition

Text to Speech

Text based

Global Intelligent Virtual Assistant Market – By End User

Small and Medium Businesses

Large enterprises

Individual users

Global Intelligent Virtual Assistant Market – By Region

North America

USA

Canada

Mexico

Europe

UK.

France

Germany

Italy

Spain

Asia-Pacific

Japan

China

India

South East Asia

South Korea

Rest of Asia-Pacific

Latin America

Brazil

Argentina

Rest of Latin America

Middle East & Africa

GCC Countries

South Africa

Rest Of Middle East & Africa

New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request TOC at @ https://www.decisionforesight.com/toc-request/DFS020221

Geographic Scenario:

North America accounted the largest intelligent virtual assistant market share in terms of revenue which valued at USD 3 billion in 2019 and is expected to reach USD 5 billion by 2025. North America population has seen major technology advancement and are more inclined towards AI-based services, once of such service is intelligent virtual assistants, owing to this the text to speech devices technology has gained more importance and is widely used technology among the people. Text to speech technology itself is expected to grow by CAGR of 30% or more during the forecasted period. Asia Pacific market is expected to grow in future due to the increase in demand for electronics and medical devices. Introduction of intelligent virtual assistants among the organizations has also boosted up the intelligent virtual assistant market demand. The LAMEA region is also expected to show a rise in the intelligent virtual assistant market sales in coming year owing to an increase in demand for AI-based products and due to its ease of use. The purchasing power of this region will also boost up in a few years. Overall, good growth can be seen in future due to the rise in demand for security-enabled handheld devices due to post Covid-19 situation.

Competitive Scenario:

The key players in the global intelligent virtual assistant industry are Intel Corporation Amazon.com Inc., Google Inc., Oracle Corporation, Apple Inc., Microsoft, Amazon, IBM Corporation, CodeBaby Corporation, MedRespond, Next IT Corporation, CSS Corporation, and Welltok Inc.

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The report offers statistical data in terms of value (US$) as well as Volume (units) till 2030.

Exclusive insight into the key trends affecting the Global Intelligent Virtual Assistant industry, although key threats, opportunities and disruptive technologies that could shape the Global Intelligent Virtual Assistant Market supply and demand.

The report tracks the leading market players that will shape and impact the Global Intelligent Virtual Assistant Market most.

The data analysis present in the Global Intelligent Virtual Assistant Market report is based on the combination of both primary and secondary resources.

The report helps you to understand the real effects of key market drivers or retainers on Global Intelligent Virtual Assistant Market business.

The 2021 Annual Global Intelligent Virtual Assistant Market offers:

100+ charts exploring and analysing the Global Intelligent Virtual Assistant Market from critical angles including retail forecasts, consumer demand, production and more

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Benchmark wholesale prices, market position, plus prices for raw materials involved in Global Intelligent Virtual Assistant Market type

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market-researcher · 4 years ago

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Artificial Intelligence In Healthcare Market Global Industry Demand, Innovative, Research Report, And Forecast[2027]

The report titled “Global Artificial Intelligence in Healthcare Market: Demand Analysis & Opportunity Outlook 2027” delivers detailed overview of the global artificial intelligence in healthcare market in terms of market segmentation by offering, by technology, by application, by end-users and by region.

On the basis of offering, the global artificial intelligence in healthcare market is segmented into hardware, software, and services. The market is further segmented by technology into speech recognition, machine learning, querying method, natural language processing, and context aware processing; by application into medical research, diagnosing diseases, electrocardiography, laparoscopy, medical imaging, personalized health assessments, drug discovery, personalized medicine, and others and by end-users into diagnostic labs, hospitals, clinics, and others.

The global artificial intelligence in healthcare market is anticipated to record a CAGR of 45.3% over the forecast period i.e. 2019-2027.

Artificial intelligence in healthcare is being used in radiology, imaging, electronic health records and others which can be attributed to its low error rate, high speed, accuracy, precision and ability to complete a hazardous task without the involvement of humans. For instance, mishandling of samples for the detection of Hepatitis C or AIDS have been proven to be fatal for the laboratory technicians. Additionally, growing applications of AI in health care has resulted in improved outcomes along with transforming the elderly care through health and smart devices for home care by monitoring their daily activities.

Diagnosing a disease by looking for a pathogen under a microscope is not only labour intensive but also demands high accuracy and precision. AI is anticipated to transform this field, with the use of computers to obtain a more accurate, precise and detailed image as well as description of a pathogen. Geriatric diseases such as, osteoporosis, obesity, diabetes, dementia, atherosclerosis, cardiovascular diseases, and others demand quick detection, diagnosis and continuous supervision. The implementation of AI for diagnosing such diseases is anticipated to drive the growth of the market. Further, use of AI for detection of outbreaks and sources of epidemics which can be used as way of preventing the disease is also estimated to propel the growth of the market.

On the basis of regional analysis, the global artificial intelligence in healthcare market is segmented into five major regions including North America, Europe, Asia Pacific, Latin America and Middle East & Africa region. The market in North America is anticipated to show a robust growth during the forecast period. This can be attributed to declining cost of hardware and improving computing technologies across this region. The market in North America is estimated to be followed by Europe and Asia Pacific on the back of increasing healthcare expenditure and progressing healthcare infrastructure in these regions.

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Cost Effective Treatments

Artificial intelligence in healthcare is estimated to significantly reduce the cost of the treatments as there would be more accuracy in diagnosis with better predictions as well as prevention of a disease. Additionally, use of artificial intelligence in medical coding has transformed the manual work required for documenting medical records.

However, inconsistency in availability and quality of data along with lack of skilled professionals is expected to restrain the growth of the global artificial intelligence in healthcare market over the forecast period.

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Further, for the in-depth analysis, the report encompasses the industry growth drivers, restraints, supply and demand risk, market attractiveness, BPS analysis and Porter’s five force model.

This report also provides the existing competitive scenario of some of the key players of the global artificial intelligence in healthcare market which includes company profiling of IBM Watson Health, Oncora Medical, Microsoft Corporation, NVIDIA Corporation, Atomwise Inc., iCarbonX, Medtronic Plc., Zephyr Health Inc., Next IT Corp, and other prominent players. The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and recent news and developments. On the whole, the report depicts detailed overview of the global artificial intelligence in healthcare market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.

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psychicanchortimemachine · 4 years ago

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Artificial Intelligence in the Energy Sector: Opportunities and Challenges

What lies in the store for AI in energy sector: Its potential applications and shortcomings “Artificial Intelligence, Deep Learning and Machine Learning- whatever you are doing, if you don’t understand it — Learn it. Because you are otherwise going to be a dinosaur in 3 years.”These words by American entrepreneur Marc Cuban can be a bit over-the-top but it puts a strong emphasis on how these modern technologies are gonna dominate almost every industry in the coming years. So today, we are gonna talk about one of these technologies-

Artificial Intelligence (AI)

. in detail and about it’s growing importance in specifically, the Energy Sector. So, lets begin our article with some insights on AI.

Artificial Intelligence may be defined as a technology which incorporates human intelligence in machines. It provides machines or computer programs the potential of thinking or performing certain tasks which otherwise, wouldn’t be possible without human intelligence. These tasks may include the likes of visual perception or speech recognition for instance. Artificial intelligence (AI) makes it possible for machines to accomplish specific tasks by processing large amounts of information in form of data and recognizing patterns within the data. Today AI has taken a crucial place in many sectors and with increasing

digitisation

and increased flow of information everyday, the longer term for AI looks promising.From retail to banking, from healthcare to manufacturing, AI is resulting in increased efficiency and security by enhancing the speed, precision and effectiveness of human efforts. AI IN ENERGY SECTOR: AN OVERVIEWWith Artificial Intelligence expanding itself every day, energy sector has also not been left untouched by it. AI and energy sector are a perfect match to each other. AI thrives on data and the energy resources are flooded with huge chunk of data coming from power grids, wind-farm operations and even oil-companies. AI coupled with other technologies like cloud computing can process, stream, analyse and interpret this data precisely and with unimaginable speeds to make the energy sector more efficient and secure.So, let’s begin our discussion on what future lies for AI in this ever- changing energy sector and what challenges and opportunities lie ahead to it: Opportunities for AI in Energy Sector-:The numerous opportunities for AI can be narrowed down to these five points-

AI in power grids : Smart grids

Intelligent Energy Storage(IES)

AI in power trading: AI forecasting

Resource Management

Preventing disaster

With time, power grids are becoming more and more decentralized and digital. It is leading to more number of grid participants and hence, more difficult to manage it and keep the grid in balance. This requires evaluating and analyzing a huge chunk of data. AI can help us with quick and efficient processing for this flood of data!As power is being generated from more volatile sources like solar and wind, the requirement is that power generation must react intelligently to consumption (and vice versa). With AI, we can evaluate, analyse and control participants connected to each other via these smart grids.

With modern day emphasis on climate changes and increasing pressure to reduce CO2 emissions, we must find ways to have most of our power generated from renewable resources. The problem with renewable sources of energy are that they areunpredictable, which makes production of energy periodical and sometimes even chaotic. With renewable sources, there can be power outages or too much power generation which needs to be controlled. Smart storage, also known as Intelligent Energy Storage(IES) can effectively handle these disrupt changes in power supply. If we combine renewable energy with AI-powered storage ,we can greatly improve energy storage management, increase business value and minimize power losses. AI in power trading: AI forecastingUse of AI in power trading can help improve forecasting. Improving their predictive analysis methods by the use of AI can serve many goals for energy companies: Cost Cutting, Power Saving, Being ready for changing conditions and also improving their existing customer service. With the help of machine learning and deep learning, it’s possible to bring forecasting to the next level in the energy industry .The cost of error in energy industry is very high, which means that precision of highest level is required.Ex- World’s largest electricity producer company GE Power is working on incorporating AI in its energy supply change to enhance precision and efficiency. Resource ManagementSuppliers can use AI to predict for demand in advance or check for problems to save resources wherever possible. They can therefore have optimal utilization of their resources, hence increasing efficiency.AI can also enable users to save electricity and reduce their monthly bills. With AI enabled system, the networked devices can reduce power bills by reacting to prices on electricity market.

Preventing disaster

AI can be used to predict system overload or potential transformer breakdowns, thus giving an added layer of security to any disaster sort of mis-happening. Analyzing the available data and coupled with technologies like deep learning, AI can predict corrosion, cracks etc. which pose a threat to the system and can be a cause of future disasters. Challenges for AI in the energy sectorBy learning about so many potential applications of AI. in the energy sector, you would guess that it’s gonna be a pretty easy path for it in this industry. But turns out, that the path isn’t really without its obstacles. So, let’s take a look at the major challenges which has to be cleared before AI takes a giant domination in this industry-:

Lack of expertise and finances

Data privacy and Security

Data consumption by AI

Let us read about each challenge one-by-one: Lack of expertise and financesFor a shift to AI enabled energy sector, we require a large number of employees with sufficient technical expertise on AI who could be able to lead this transition, but that’s not present. Moreover, the conservative approach of some organisations and huge risks associated with data compels many companies to not join this AI revolution.Moreover, this implementation of technology in the energy sector would require developing, adjusting and monitoring software which requires lot of resources and finances.

Data Privacy and Security

Data Consumption by AI itself

Data centers the huge “server farms” around the world storing users’ data, now consume 3% of global energy. Processing a lot of data requires large amount of electricity- making it a requirement to have a check on data consumption of AI itself. To make the energy sector artificially intelligent, its integral to ensure that these data centres are themselves, energy efficient. CONCLUSIONIt’s a no-brainer that the future lies in AI and furthermore, the capability of AI to revolutionize the energy sector must also not be doubted. AI can increase the efficiency, speed and

security of energy consumption

and generation and could lead the constant transitions in this sector to meet the changing climate needs. But it also goes without saying that even this “intelligent technology” has its own shortcomings which needs to be taken care of before we can embrace it with open hands.

to be on the forefront of innovations coming to disrupt the energy sector and embrace the upcoming industry shift.

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shashiemrf · 3 years ago

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Robotics Market Growth Opportunities In The Forthcoming Years With Forecast To 2027

Market Highlights

The global robotics market is projected to be valued at USD 215.21 billion by the end of 2027, registering a CAGR of more than 25.2% during the forecast period.

COVID-19 Impact Analysis

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Segment Analysis

The global robotics market has been classified on the basis of type, mobility, end user, and region.

Key Findings of the Study:

The global robotics market is projected to reach a value of USD 215.21billion by 2027, with a CAGR of around 25.2% during the forecast period from 2021 to 2027.

The Middle East & Africa is an emerging market for robotics. The region has registered high growth in the entertainment robot category with augmented reality implications.

The rising demand for entertainment robots in retail for customer engagement is expected to present lucrative opportunities for the players in this market.

Table of Content:

4 MARKET DYNAMICS 23

4.1 OVERVIEW 23

4.2 DRIVERS 24

4.2.1 GROWTH IN THE ADOPTION OF INDUSTRIAL ROBOTICS 24

4.2.2 DEVELOPMENT OF ARTIFICIAL INTELLIGENCE TECHNOLOGY 24

4.3 RESTRAINT 25

4.3.1 HIGH INITIAL COST AND TECHNICAL COMPLEXITY 25

4.4 OPPORTUNITY 26

4.4.1 RISING DEMAND FOR ENTERTAINMENT ROBOTS IN RETAIL FOR CUSTOMER ENGAGEMENT 26

4.5 COVID-19 IMPACT ANALYSIS 26

4.5.1 IMPACT ON SEMICONDUCTOR COMPONENT MANUFACTURERS 26

4.5.2 IMPACT ON THE GLOBAL ROBOTICS MARKET 27

4.5.2.1 IMPACT ON SUPPLY CHAIN 27

4.5.2.2 PRICE VARIATION OF KEY RAW MATERIALS 27

4.5.2.3 PRODUCTION SHUTDOWN 28

4.5.2.4 IMPACT ON MARKET DEMAND 28

5 MARKET FACTOR ANALYSIS 29

5.1 VALUE CHAIN ANALYSIS 29

5.1.1 HARDWARE/COMPONENT MANUFACTURERS 29

5.1.2 SOFTWARE DEVELOPERS 29

5.1.3 SYSTEM INTEGRATORS 29

5.1.4 END-USERS 30

5.2 PORTER’S FIVE FORCES MODEL 30

5.2.1 THREAT OF NEW ENTRANTS 31

5.2.2 BARGAINING POWER OF SUPPLIERS 31

5.2.3 THREAT OF SUBSTITUTES 31

5.2.4 BARGAINING POWER OF BUYERS 31

5.2.5 INTENSITY OF RIVALRY 31

6 GLOBAL ROBOTICS MARKET, BY MOBILITY 32

6.1 OVERVIEW 32

6.1.1 MARKET ESTIMATES & FORECAST, 2019–2027 32

6.1.2 MOBILE ROBOTICS 33

6.1.3 FIXED ROBOTICS 33

7 GLOBAL ROBOTICS MARKET, BY TYPE 34

7.1 OVERVIEW 34

7.1.1 MARKET ESTIMATES & FORECAST, 2019–2027 34

7.1.2 SCARA 35

7.1.3 CARTESIAN 35

7.1.4 ARTICULATED 35

7.1.5 CYLINDRICAL 35

7.1.6 PARALLEL 35

7.1.7 OTHERS 36

8 GLOBAL ROBOTICS MARKET, BY END USER 37

8.1 OVERVIEW 37

8.1.1 MARKET ESTIMATES & FORECAST, 2019–2027 37

8.1.2 MANUFACTURING 38

8.1.3 ENTERTAINMENT 38

8.1.4 DEFENSE 38

8.1.5 MEDICAL 39

8.1.6 FIELD 39

8.1.7 LOGISTICS 39

8.1.8 PUBLIC SAFETY 39

8.1.9 OTHERS 39

9 GLOBAL ROBOTICS MARKET, BY REGION 40

9.1 OVERVIEW 40

9.1.1 MARKET ESTIMATES & FORECAST, 2019–2027 40

9.2 NORTH AMERICA 41

9.2.1 US 44

9.2.2 CANADA 46

9.2.3 MEXICO 47

9.3 EUROPE 49

9.3.1 UK 52

9.3.2 GERMANY 54

9.3.3 FRANCE 55

9.3.4 ITALY 57

9.3.5 REST OF EUROPE 58

9.4 ASIA-PACIFIC 60

9.4.1 CHINA 63

9.4.2 JAPAN 65

9.4.3 INDIA 66

9.4.4 SOUTH KOREA 68

9.4.5 REST OF ASIA-PACIFIC 69

9.5 REST OF THE WORLD 71

9.5.1 MIDDLE EAST & AFRICA 74

9.5.2 SOUTH AMERICA 76

10 COMPETITIVE LANDSCAPE 78

10.1 COMPETITIVEOVERVIEW 78

10.2 MARKET SHARE ANALYSIS 78

10.3 COMPETITIVE BENCHMARKING 79

10.4 KEY DEVELOPMENTS & GROWTH STRATEGIES 80

10.4.1 PRODUCT LAUNCHES/PRODUCT DEVELOPMENTS 80

10.4.2 COLLABORATIONS/PARTNERSHIPS/JOINT VENTURES 83

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techsciresearch · 4 years ago

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Natural Language Processing Market to Grow at a Significant Rate during the Forecast Period – TechSci Research

Rising interest in human-to-machine communication is influencing growth of Global Natural Language Processing Market positively.

According to TechSci Research report, “Global Natural Language Processing Market By Component (Solutions, Services, Managed Services) By Deployment Mode (On-Premises, Cloud) By Type (Rule-Based, Statistical, Hybrid) By Application (Sentiment Analysis, Data Extraction, Risk And Threat Detection, Automatic Summarization, Content Management, Language Scoring, others) By Vertical (Banking, Financial Services, And Insurance, It And Telecom, Retail And E-Commerce, Healthcare And Life Sciences, Transportation And Logistics, Government And Public Sector, Energy And Utilities, Manufacturing, Others) By Region, Competition Forecast & Opportunities, 2026”, the Global Natural Language Processing Market is expected to grow at a promising rate during the forecast period. With internet of things taking over the online experience, demand for analyzing the data generated information, conversation, social media map, and other sources is increasing by various multitude. Natural Processing Languages moderate the analysis by devices and systems to share the same in human languages. For instance, in the healthcare industry it is used for the predictive diagnosis based on patient’s electronic health records and speeches. With such detail oriented functions, the market is bound to grow in the forecast period.

Due to the onset of COVID-19 and imposition of complete lockdown to mitigate the coronavirus, there has been shutdown of many manufacturing units and disruption in the supply chain and other end user industries resulting in interrupted production and lesser supply of the services all around the globe. Also, the economy has been adversely affected in many countries resulting in hinderance to the growth of the Natural Language Processing market. However, after relief from lockdown, market is again going to pick up pace to grow significantly.

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Global natural language processing market is segmented by component, deployment mode, type, application, vertical, and region. Based on the verticals that apply the natural language processing systems the market is further bifurcated into banking, financial services, and insurance, IT and telecom, retail and e-commerce, healthcare and life sciences, transportation and logistics, government and public sector, energy and utilities, manufacturing, and others. Healthcare vertical has dominated the market in historical years and is expected to keep asserting its dominance over the market owing to increasing number of complex health issues and rising demand for advanced natural language processing systems – driven EHRs to extract relevant unstructured clinical data. Owing to the impact of COVID-19, digital technologies such as video banking facility, AI supported tools and conversational platforms are also going to drive the growth of the market in next five years.

Some of the major players in the Global natural language processing market are Microsoft Corporation, Google LLC., Amazon Web Services, Apple Inc, Linguamatics, Intel Corporation, Baidu, Inc, Inbenta, AI company, Dolbey Systems, Veritone Inc, among others. The competitors are continuously involved in research and development and various mergers and acquisitions for the advancement of their services as well as the growth of market.

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“Globally the market for natural language processing system is bound to grow at exponential CAGR. Although by regions, North America shows a promising landscape for future investments. Cloud computing platforms have great scope for improvements and are more efficient, affordable, and hold the capacity to process complex information. This may lead to the growth of even not so affordable software development tools and multiple datasets. Whereas Asia- Pacific region is the largest market with maximum CAGR for the next five years.”, said Mr. Karan Chechi, Research Director with TechSci Research, a research based global management consulting firm.

“Global Natural Language Processing Market By Component (Solutions, Services, Managed Services) By Deployment Mode (On-Premises, Cloud) By Type (Rule-Based, Statistical, Hybrid) By Application (Sentiment Analysis, Data Extraction, Risk And Threat Detection, Automatic Summarization, Content Management, Language Scoring, others) By Vertical (Banking, Financial Services, And Insurance, It And Telecom, Retail And E-Commerce, Healthcare And Life Sciences, Transportation And Logistics, Government And Public Sector, Energy And Utilities, Manufacturing, Others) By Region, Competition Forecast & Opportunities, 2026”, has evaluated the future growth potential of Global Natural Language Processing Market and provides statistics & information on market size, structure and future market growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in Global Natural Language Processing Market.

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