#Digital Twin Market Analysis

[industrynewsupdates]

Digital Twin Market Outlook and Forecast Report 2024 - 2030

The global digital twin market size is projected to reach USD 155.84 billion by 2030, registering a CAGR of 35.7% from 2024 to 2030, according to a new study by Grand View Research Inc. Increasing public and private investments in digital transformation solutions, rising significance of smart factories, and global proliferation of cloud-based platforms are collectively contributing to market growth. The digital twin facilitates enterprises to efficiently reduce expenses and increase revenue. Various factors, such as social media, cloud computing, and process automation, also contribute to the use of digital twins to increase process efficiency and propel market expansion.

The emergence of advanced technologies, such as robotic process automation (RPA), the Internet of Things (IoT), artificial intelligence (AI), cloud computing, and big data analytics is creating a positive outlook for the market. Implementing IoT in manufacturing allows electronic devices to communicate with each other without any human interference within a prevailing internet infrastructure. Therefore, IoT could have a profound impact on the digital twin industry. IoT allows connected devices to interact with each other and exchange critical notifications, such as defective or damaged ping, supporting market growth. Several industries have adopted digital twin technology.

Gather more insights about the market drivers, restrains and growth of the Digital Twin Market

Detailed Segmentation:

Market Concentration & Characteristics

Innovation, global competition, and technological advances can be considered key driving factors responsible for market expansion and growth. The digital twin has provided businesses with additional means to cut costs and augment profits effectively. Digital twin providers are anticipated to leverage new technological innovations to manage the time-to-market concerns efficiently, increase the existing system’s productivity, and optimize internal processes, product designs, and systems to reduce energy consumption, enhance the production layout, and minimize investments, among others. Over the past few years, the emergence of technologies, such as Robotic Process Automation (RPA), has started to influence the market.

Solution Insights

The system segment led the market and accounted for around 41.0% of the global revenue share in 2023. The high market share can be attributed to the growing usage of digital twin solutions for developing and designing assembly lines, communication systems, and piping systems in oil & gas, automotive models, and aerospace sectors. System twins are an integration of several assets, which allows engineers to observe and interpret the synchronization of components during operation and system performance, supporting segment growth.

Deployment Insights

The on-premise deployment segment accounted for the largest revenue share in 2023 due to the high adoption of on-premise solutions by large enterprises for enhanced security and ease of compliance with government regulations. Furthermore, large enterprises have critical business information, and to protect it, these enterprises choose complete ownership of solutions. However, lately, consumer focus is shifting toward cloud-based solutions owing to their easy operation and low operating costs. Therefore, the on-premise segment is expected to witness slow growth during the forecast period.

Enterprise Size Insights

The large enterprises segment accounted for the largest revenue share in 2023. The high market share can be attributed to the increasing use of digital twins by large enterprises to reduce the product time to market and enhance product performance. The digital twin offers end-to-end visibility on the product and its operations, which assists these organizations in planning the maintenance of the machinery, supporting the segment growth.

Application Insights

The predictive maintenance segment accounted for the largest revenue share in 2023. With the help of digital twin in predictive maintenance, engineers can determine and schedule the maintenance preventing machine failure by enabling scheduled maintenance as per actual need and reducing downtime. Businesses can leverage digital twins in their predictive maintenance to address various performance issues without under or over-investing in critical resources.

End-use Insights

The automotive & transport end-use segment accounted for the largest revenue share of around 21.0% in 2023. The high market share can be attributed to the growing adoption of digital twins in this sector due to its various benefits, such as cost optimization, enhanced safety of vehicles, and high productivity. Digital twin technology can assist manufacturers and operators in making better decisions about how to design, operate, and maintain vehicles, as well as improve the supply chain by providing real-time data and insights. Real-time vehicle health monitoring can be performed with the help of digital twin technology, which also aids in anticipating maintenance requirements and planning them accordingly.

Regional Insights

North America region dominated the market and accounted for a share of around 34.0% in 2023. The regional growth can be attributed to the emergence of technologies, such as Robotic Process Automation (RPA), Virtual Reality (VR), and the IoT, which has started to influence the digital twin industry. Key companies in the U.S., such as International Business Machines Corporation, Microsoft Corporation, and General Electric, are effectively working on new product development and enhancement of existing products to acquire customers and capture more market shares.

Browse through Grand View Research's Next Generation Technologies Industry Research Reports.

• The global generative AI coding assistants market size was estimated at USD 18.6 million in 2023 and is projected to grow at a CAGR of 25.8% from 2024 to 2030. 

• The global IoT platform market size was estimated at USD 11.10 billion in 2023 and is projected to grow at a CAGR of 12.7% from 2024 to 2030.

Key Digital Twin Company Insights

Some of the key players operating in the market include ABB Group; International Business Machines Corporation; Microsoft Corporation; and Rockwell Automation.

• ABB Group is a technology company that aids in the transformation of industry and society toward a productive and sustainable future. ABB operates its business through four business areas, namely Electrification, Process Automation, Motion, and Robotics & Discrete Automation. The Robotics & Discrete Automation segment offers industrial robots, software, robotic solutions and systems, field services, spare parts, and digital services

• International Business Machines Corporation is a global Information Technology (IT) company that provides software and solutions for digital technologies. The services offered by the company include business process & operations, cloud services, digital workplace services, technology support services, business resilience services, network services, application services, and security services.The company has several fully owned subsidiaries, such as WTC Insurance Corporation, Ltd.; IBM Canada Limited; IBM Global Financing Denmark ApS; IBM Egypt Business Support Services; International Business Machines Gabon SARL; PT IBM Indonesia; International Business Machines Madagascar SARLU; and Companhia IBM Portuguesa, S.A.; among others

Key Digital Twin Companies:

The following are the leading companies in the digital twin market. These companies collectively hold the largest market share and dictate industry trends.

• ABB Group

• Amazon Web Services, Inc.

• ANSYS, Inc.

• Autodesk Inc.

• AVEVA Group plc

• Bentley Systems Inc.

• Dassault Systemes

• General Electric

• Hexagon AB

• International Business Machines Corporation

• Microsoft Corporation

• PTC Inc.

• Robert Bosch GmbH

• Rockwell Automation

• SAP SE

• Siemens AG

Digital Twin Market Segmentation

Grand View Research has segmented the global digital twin market on the basis of solution, deployment, enterprise size, application, end-use, and region:

Digital Twin Solution Outlook (Revenue, USD Billion, 2018 - 2030)

• Component

• Process

• System

Digital Twin Deployment Outlook (Revenue, USD Billion, 2018 - 2030)

• Cloud

• On-premise

Digital Twin Enterprise Size Outlook (Revenue, USD Billion, 2018 - 2030)

• Large Enterprises

• Small and Medium Enterprises (SMEs)

Digital Twin Application Outlook (Revenue, USD Billion, 2018 - 2030)

• Product Design & Development

• Predictive Maintenance

• Business Optimization

• Others

Digital Twin End-use Outlook (Revenue, USD Billion, 2018 - 2030)

• Manufacturing

• Agriculture

• Automotive & Transport

• Energy & Utilities

• Healthcare & Life Sciences

• Residential & Commercial

• Retail & Consumer Goods

• Aerospace

• Telecommunication

• Others(Aerospace & Defense, Mining, Financial Services)

Digital Twin Regional Outlook (Revenue, USD Billion, 2018 - 2030)

• North America

o U.S.

o Canada

• Europe

o UK

o Germany

o France

• Asia Pacific

o India

o China

o Japan

o Australia

o South Korea

• Latin America

o Brazil

o Mexico

• Middle East & Africa (MEA)

o UAE

o Saudi Arabia

o South Africa

Order a free sample PDF of the Digital Twin Market Intelligence Study, published by Grand View Research.

Recent Developments

• In January 2024, Valeo, an automotive technology provider, partnered with Applied Intuition, a vehicle software supplier, to provide a digital twin platform for advanced driver-assistance systems (ADAS) sensor simulation. OEMs would be able to bring reliable and safe ADAS features to market faster with the joint solution

• In April 2023, Rockwell Automation installed a Robotic Supervision System (RSS) for TotalEnergies. RSS combines the Internet of Things (IoT), gamification, and digital twin technology to improve industrial robot management and monitoring. The system aims to maximize robot performance, upkeep, and productivity, reflecting the continued growth of manufacturing automation and digital technologies in the renewable energy sector

• In March 2023, WSP collaborated with Amazon Web Services, Inc. to develop digital twins for complex infrastructure. The collaboration intends to leverage Amazon Web Services, Inc.'s cloud data processing and analytics services to drive innovation and long-term solutions across several industries. It aims to utilize Amazon Web Services, Inc.’s technology to improve WSP's services in areas, such as planning for infrastructure, environmental sustainability, and data-driven choices

[ashimbisresearch]

10 Must-Watch Digital Twins Startups Shaping the Future of Tech Investment

According to BIS Research, the global digital twin market is expected to reach $1,036.4 Billion by 2033 with a CAGR of 58.52% during the forecast period (2023-2033). In 2023, the market was valued at $10.3 Billion.

[health-views-updates]

Digital Twins in Healthcare Market Projections: Future Growth and Trends

Digital Twins in Healthcare Market Outlook, Scope & Overview:

Industry reports indicate that the global digital twins in healthcare market was valued at USD 610.1 million in 2023 and is projected to reach USD 4504.73 million by 2031, growing at a CAGR of 25.97% over the forecast period 2024-2031.

Technological Advancements to Drive Growth of Global Digital Twins in Healthcare Market

The adoption of digital twin technology in healthcare will continue to influence global market revenues. Healthcare providers, researchers, and pharmaceutical companies are increasingly utilizing digital twins to enhance patient care, optimize clinical trials, and advance personalized medicine.

As a product segment, digital twin platforms for patient-specific modeling currently hold a significant share of the global digital twins in healthcare market. This segment is anticipated to grow at a year-over-year rate of 25.97% in 2024 over 2023 and reach USD 4504.73 million in revenues by 2031. The increasing need for accurate and real-time patient data for clinical decision-making and treatment planning is expected to drive market growth.

Digital Twins in Healthcare – Market Dynamics

Drivers:

Digital twin technology in healthcare is witnessing significant growth in the global market due to its ability to create virtual models of physical entities, enabling better understanding, analysis, and prediction of patient outcomes. The growing adoption of advanced analytics, AI, and machine learning in healthcare, coupled with the increasing focus on personalized and precision medicine, are key factors driving the adoption of digital twins in healthcare. Additionally, the rising demand for efficient healthcare solutions that can reduce costs and improve patient outcomes is further propelling market growth.

Restraints:

Despite the growth potential, challenges such as high implementation costs, concerns about data privacy and security, and the complexity of integrating digital twin technology with existing healthcare IT infrastructure are hindering the widespread adoption of digital twins in healthcare. Moreover, the need for specialized technical expertise to develop and maintain digital twin models poses additional challenges to market expansion.

Digital Twins in Healthcare – Market Outlook

The proven benefits of digital twins in healthcare, including improved patient outcomes, enhanced clinical trial efficiency, and optimized treatment strategies, have contributed to the market's growth. Digital twins in healthcare are expected to witness increased adoption across major markets, including North America, Europe, and Asia Pacific, driven by advancements in digital health technologies and the growing emphasis on personalized healthcare.

Global Digital Twins in Healthcare Market

The rise in demand for digital twins in healthcare in developed and emerging markets is expected to drive market growth over the forecast period. North America currently holds a significant market share in the global digital twins in healthcare market, with the US being a key contributor to market revenues. Europe and Asia Pacific regions are also experiencing rapid adoption of digital twin technology, supported by favorable regulatory frameworks and increasing investments in healthcare innovation.

Key Players in the Digital Twins in Healthcare Market

Leading companies in the digital twins in healthcare market include Siemens Healthineers, Philips Healthcare, GE Healthcare, and Microsoft Corporation. These companies are at the forefront of developing and commercializing advanced digital twin platforms for various healthcare applications, including patient-specific modeling, disease simulation, and treatment optimization.

In conclusion, the global digital twins in healthcare market is poised for substantial growth over the forecast period, driven by technological advancements, increasing healthcare digitalization, and the expanding adoption of personalized and precision medicine across diverse healthcare settings

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[uptothetrendblogs]

Digital Twin in Healthcare Market: Revolutionizing the Industry

Digital Twin technology is emerging as a revolutionary force in the healthcare industry, offering unprecedented opportunities for enhancing patient care, optimizing operations, and driving innovation. A Digital Twin is a virtual replica of a physical entity, such as a patient, medical device, or even a hospital system, that uses real-time data and advanced simulation techniques to mirror its real-world counterpart. This cutting-edge technology is poised to transform healthcare by enabling personalized medicine, predictive analytics, and efficient management of healthcare resources.

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Latest Developments

Personalized Medicine and Patient Care: The application of Digital Twin technology in personalized medicine has gained significant traction. By creating a virtual model of a patient, healthcare providers can simulate different treatment scenarios and predict their outcomes. This approach allows for tailoring medical interventions to individual patient needs, improving efficacy, and reducing side effects. For instance, in 2023, researchers at the University of California, San Francisco, developed a Digital Twin model to predict the progression of chronic diseases, such as diabetes and cardiovascular conditions, enabling early intervention and better management.

Advanced Surgical Planning: Digital Twins are increasingly used in surgical planning and training. Surgeons can practice complex procedures on virtual models before operating on real patients, enhancing precision and reducing risks. In recent news, Mayo

Clinic collaborated with a leading tech company to create detailed Digital Twins of patients' organs, which are used to plan and rehearse surgeries. This collaboration has led to a significant decrease in surgical errors and improved patient outcomes.

Hospital Management and Operations: The COVID-19 pandemic highlighted the need for efficient hospital management and resource allocation. Digital Twins can simulate hospital operations, predicting patient influx and optimizing the use of medical resources. In a recent development, Cleveland Clinic implemented a Digital Twin of their entire hospital system to manage patient flow and resource distribution during the pandemic. This system proved instrumental in reducing wait times and improving the overall efficiency of hospital operations.

Medical Device Development and Testing: Medical device manufacturers are leveraging Digital Twins to accelerate the development and testing of new products. By creating virtual prototypes, companies can conduct extensive testing in a simulated environment, reducing the need for physical trials and speeding up time-to-market. GE Healthcare, for example, has been at the forefront of using Digital Twins to optimize the design and functionality of their imaging devices, ensuring higher reliability and performance.

Market Analysis

The global Digital Twin in Healthcare market is experiencing robust growth, driven by technological advancements, increasing adoption of IoT and AI in healthcare, and the growing need for personalized medicine. According to a recent report by MarketsandMarkets, the market is expected to grow from USD 1.5 billion in 2021 to USD 5.1 billion by 2026, at a CAGR of 27.2%.

Several factors contribute to this growth:

Technological Advancements: The integration of IoT devices, AI, and machine learning algorithms with Digital Twin technology is enhancing its capabilities. Advanced sensors and wearable devices collect real-time patient data, which is then processed by AI algorithms to create accurate and dynamic Digital Twins. This synergy between technologies is driving the adoption of Digital Twins in healthcare.

Increasing Investment: Significant investments from both public and private sectors are fueling the growth of the Digital Twin market. Governments and healthcare organizations are recognizing the potential of this technology to improve patient care and reduce costs. In 2023, the European Commission launched a major initiative to fund Digital Twin projects in healthcare, aiming to foster innovation and adoption across the continent.

Growing Demand for Personalized Medicine: The shift towards personalized medicine is a major driver for the adoption of Digital Twins. Patients and healthcare providers are increasingly seeking treatments tailored to individual genetic, environmental, and lifestyle factors. Digital Twins enable precise modeling of these factors, facilitating personalized treatment plans and improving patient outcomes.

Regulatory Support: Regulatory bodies are also supporting the use of Digital Twins in healthcare. The FDA, for example, has introduced guidelines for the use of Digital Twins in medical device testing and approval processes. This regulatory support is expected to encourage more healthcare organizations to adopt the technology.

𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅 𝐇𝐞𝐫𝐞-  https://univdatos.com/report/digital-twin-in-healthcare-market/get-a-free-sample-form.php?product_id=58944

Challenges and Future Prospects

Despite its promising potential, the Digital Twin in Healthcare market faces several challenges. Data privacy and security concerns are paramount, as the technology relies heavily on sensitive patient data. Ensuring the accuracy and reliability of Digital Twins is also crucial, as inaccuracies can lead to suboptimal treatment outcomes.

Looking ahead, the future of Digital Twins in healthcare is bright. Continued advancements in AI, machine learning, and data analytics will enhance the capabilities and applications of Digital Twins. Collaboration between technology companies, healthcare providers, and regulatory bodies will be essential to address challenges and drive widespread adoption.

In conclusion, Digital Twin technology is set to revolutionize the healthcare industry, offering immense potential for improving patient care, optimizing operations, and driving innovation. As the technology continues to evolve and mature, its impact on healthcare is expected to grow, ushering in a new era of precision medicine and efficient healthcare management.

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Global Digital Twin Market Insights

Digital Twin Market size was valued at USD 8.08 billion in 2021 and is poised to grow from USD

11.12 billion in 2022 to USD 155.83 billion by 2030, growing at a CAGR of 37.5% in the forecast

period (2023-2030).

Integration of digital twin technology with other technologies such as the Internet of Things(IoT),

Artificial Intelligence (AI), and cloud computing is likely to drive the market growth even more.

Organizations using IoT and AI technologies to capture and analyse behavioural data from

existing IoT devices and connected products, which can then be applied to a digital twin model

to imitate the performance and use of existing device. This aids product engineers and designers

to monitor product performance and identify any flaws. Besides, other features such as

forecasting future iterations, device lost and found trackers, and etc., offer major benefits.

Organizations can improve operations and system productivity by deploying these technologies,

which improves total product performance.

While the world has begun to recover, there is still a lot of uncertainty about the spread of new

COVID-19 variations. As a result, a number of countries are likely to use digital twin technology

as part of their economic reform efforts. Before actual prototypes are rolled out, digital twins

could assist construct predictive models and estimate the likelihood of success. The pandemic

has spurred the use of digital twin technology in a variety of verticals outside of manufacturing,

such as real estate, healthcare, communications, and retail, boosting the market's development

potential.

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Analysis:

Global Digital Twin Market Segmental Analysis

Digital twin market is segmented based on end use, type, solution, application, industry and

region. Based on end use, the market is further sub-segmented into manufacturing, agriculture.

According to the solution category, the market is segregated into components, process and

system. Based on application, the market is further sub-segmented into predictive maintenance,

business optimization. Based on industry, the market is further sub-segmented into aerospace,

automotive & transportation, healthcare, infrastructure, energy & utilities. Based on region, the

global market is further sub segmented into North America, Europe, Asia Pacific, and Rest of the

World.

Digital Twin Market Analysis by Application

During the forecast period, the digital twin market for product design & development

applications is expected to be dominated by the aerospace sector. Additionally, from 2023 to

2030, it is expected to expand at a significant CAGR. Along with cloud computing, internet of

things, machine learning, and artificial intelligence, digital twin is one of the developing

technologies utilized in product design and development. Real part design and development in

the aerospace industry need a staggering amount of capital. Even designing prototypes is

expensive. Aerospace businesses utilize digital twins in R&D to better the engineering of new

parts by enabling them to simulate their performance in a variety of scenarios. To build one or

more crucial systems, including the airframe, propulsion and energy storage systems, avionics,

and thermal protection system, the aerospace industry uses digital twins.

Digital Twin Market Top Player's Company Profiles

• Siemens AG

• IBM Corporation

• Microsoft Corporation

• Oracle Corporation

• SAP SE

• PTC Inc.

• ANSYS Inc.

• GE Digital

• Dassault Systèmes SE

• AVEVA Group plc

• Aspen Technology Inc.

• Bentley Systems Incorporated

• Honeywell International Inc.

• Rockwell Automation Inc.

• Schneider Electric SE

• Altair Engineering Inc.

• Autodesk Inc.

• Bosch Rexroth AG

• Emerson Electric Co.

• Lanner Electronics Inc

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[pravalika]

IoT Market By Software Solutions - Forecast (2023 - 2028)

View More @ https://tinyurl.com/mps7hwws

As, Internet of things is a platform of connecting devices with internet and other connected devices, it also helps in software solution technologies too, it helps them in many services like  Support and maintenance , Professional services, Consulting service, Managed service, Deployment and integration etc. The internet of things market by software solution was about 171 billion in 2017 and expected to increase at CAGR of more than 23.4% up to 2025.

What is IOT By Software Solution?

Internet of things by software solution is a combination of connecting the device to internet and other connected devices and analyzing the big data and provide the required amount of data to the device respectively. IOT in software focus on data collection, where it manages sensing, measurements, light data filtering, light data security, and aggregation of data, it uses certain internet protocols to add and connect sensors with real time, machine to machine networks. It also focus on device integration, which binds all system devices to create the body of the IOT system and focus on Real-Time analytics, which takes data or input from other connected devices and convert it into visible actions and clear patterns which will be easy for human analysis. 

Market Research and Market Trends of IOT By Software Solution Market:

Digital twin is huge next step taking by the world of IOT, digital twin is a virtual doppelganger of the real-world thing. In software solution world, digital twin technology will help Organizations Bridge to divide between physical and digital.

Connected vehicle is one of the steps from IOT towards automotive. Since IOT technologies are already had been launched at interior of the vehicle, but it still remain to connect with external world, enabling them to access on the move. But keeping in mind about safety of the driver and passenger, some advanced technologies going to be launch for the connected car ecosystem. Technology such as advance driver assistance systems (ADAS), eye graze tracking, gesture control for rear seat entertainment, vehicle to vehicle communication and vehicle to infrastructure communication.

The IOT gateway middleware solution introduced a flexible design which allows easy integration for different protocols adaptors in the south-bound direction towards the devices as well as forwarded to the north-bound direction towards different type of cloud platforms such as Microsoft Azure, AWS Io Tand IBM Bluemix, with new and unique use case scenarios bought into prominence by IOT.

Who are the Major Players in IOT By Software Solution Market?

The companies referred in the market research report are Google Inc., SAP SE, Cisco Systems, Inc., Microsoft Corporation, Amazon web services, Inc., Bosch Software Innovations GmbH, PTC Inc. and 10 other companies.

What is our report scope?

The report incorporates in-depth assessment of the competitive landscape, product market sizing, product benchmarking, market trends, product developments, financial analysis, strategic analysis and so on to gauge the impact forces and potential opportunities of the market. Apart from this the report also includes a study of major developments in the market such as product launches, agreements, acquisitions, collaborations, mergers and so on to comprehend the prevailing market dynamics at present and its impact during the forecast period 2018-2023.

All our reports are customizable to your company needs to a certain extent, we do provide 20 free consulting hours along with purchase of each report, and this will allow you to request any additional data to customize the report to your needs.

Key Takeaways from this Report

Evaluate market potential through analyzing growth rates (CAGR %), Volume (Units) and Value ($M) data given at country level – for product types, end use applications and by different industry verticals.

Understand the different dynamics influencing the market – key driving factors, challenges and hidden opportunities.

Get in-depth insights on your competitor performance – market shares, strategies, financial benchmarking, product benchmarking, SWOT and more.

Analyze the sales and distribution channels across key geographies to improve top-line revenues.

Understand the industry supply chain with a deep-dive on the value augmentation at each step, in order to optimize value and bring efficiencies in your processes. 

Get a quick outlook on the market entropy – M&A’s, deals, partnerships, product launches of all key players for the past 4 years. 

Evaluate the supply-demand gaps, import-export statistics and regulatory landscape for more than top 20 countries globally for the market. 

[themarketinsights]

Metaverse/Digital Twin in Energy Market to Witness Revolutionary Growth by 2027 | Accenture, Microsoft, Envision Digital, Siemens

Advance Market Analytics published a new research publication on “Global Metaverse/Digital Twin in Energy Market Insights, to 2027” 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 Metaverse/Digital Twin in Energy market was mainly driven by the increasing R&D spending across the world.

Major players profiled in the study are:

Siemens (Germany), Atos (France), Microsoft Corporation (United States), Accenture (Ireland), DNV AS (Norway), QiO Technologies (United Kingdom), ABB Ltd (Switzerland), GE Renewable Energy (France), Envision Digital (Singapore), Vestas (Denmark)

Get Exclusive PDF Sample Copy of This Research @ https://www.advancemarketanalytics.com/sample-report/193192-global-metaversedigital-twin-in-energy-market#utm_source=DigitalJournalVinay

Scope of the Report of Metaverse/Digital Twin in Energy

Digital twins are one of the metaverse’s core building blocks as it allows virtual representation of the physical object in the digital world. The technology is becoming more popular across the energy sector as the companies are looking to adopt technologically advanced solutions in order to optimize the operation and maintenance of physical assets, systems, or production processes. The increasing energy demand across the globe led energy producers to adopt the different resources for energy generation, which will accelerate the market growth.

The Global Metaverse/Digital Twin in Energy Market segments and Market Data Break Down are illuminated below:

by Type (Parts Twinning, Product Twinning, Process Twinning, System Twinning), Application (Onshore, Offshore), End Users (Renewable Energy Sector, Non-Renewable Energy Sector), Technology (IoT & IIoT, Blockchain, AI & ML, Big Data Analytics, AR, VR, and Mixed Reality)

Market Opportunities:

Increased Installation of Offshore Wind Energy Plants in the Coastal Region of North America and Europe

Increasing Government Funding for the Deployment of Advanced Technologies in the Renewable Energy Sector

Growing Adoption of Reality Modeling and Replacement of Traditional Inspection and Surveying Systems with New technologies

Market Drivers:

Growing Popularity of Process Twinning Across Various Energy Sectors to Monitor and Predict the Performance of Asset

Significant Growth of Renewable Energy Sector Across the Globe Due to Growing Environmental Concerns and Reduce the Dependence On Fuel to Generate Electricity

Market Trend:

Increasing Innovation and Technological Advancements in the Digital Twin technologies

What can be explored with the Metaverse/Digital Twin in Energy Market Study?

Gain Market Understanding

Identify Growth Opportunities

Analyze and Measure the Global Metaverse/Digital Twin in Energy Market by Identifying Investment across various Industry Verticals

Understand the Trends that will drive Future Changes in Metaverse/Digital Twin in Energy

Understand the Competitive Scenarios

Track Right Markets

Identify the Right Verticals

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 Metaverse/Digital Twin in Energy Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/193192-global-metaversedigital-twin-in-energy-market#utm_source=DigitalJournalVinay

Strategic Points Covered in Table of Content of Global Metaverse/Digital Twin in Energy Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Metaverse/Digital Twin in Energy market

Chapter 2: Exclusive Summary – the basic information of the Metaverse/Digital Twin in Energy Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Metaverse/Digital Twin in Energy

Chapter 4: Presenting the Metaverse/Digital Twin in Energy 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 2016-2021

Chapter 6: Evaluating the leading manufacturers of the Metaverse/Digital Twin in Energy 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 (2022-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, Metaverse/Digital Twin in Energy Market is a valuable source of guidance for individuals and companies.

Read Detailed Index of full Research Study at @ https://www.advancemarketanalytics.com/buy-now?format=1&report=193192#utm_source=DigitalJournalVinay

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.

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Craig Francis (PR & Marketing Manager)

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Unit No. 429, Parsonage Road Edison, NJ

New Jersey USA – 08837

[delvens-blog]

Digital Twin Market Size 2023-2030: ABB, AVEVA Group plc, Dassault Systemes

Digital Twin Market by Power Source (Battery-Powered, hardwired with battery backup, Hardwired without battery backup), Type (Photoelectric Smoke Detectors, Ionization Smoke Detectors), Service, Distribution Channel, and region (North America, Europe, Asia-Pacific, Middle East, and Africa and South America). The global Digital Twin Market size is 11.12 billion USD in 2022 and is projected to reach a CAGR of 60.9% from 2023-2030.

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Digital twin technology has allowed businesses in end-use industries to generate digital equivalents of objects and systems across the product lifecycle. The potential use cases of digital twin technology have expanded rapidly over the years, anchored in the increasing trend of integration with internet-of-things  (IoT) sensors. Coupled with AI and analytics, the capabilities of digital twins are enabling engineers to carry out simulations before a physical product is developed. As a result, digital twins are being deployed by manufacturing companies to shorten time-to-market. Additionally, digital twin technology is also showing its potential in optimizing maintenance costs and timelines, thus has attracted colossal interest among manufacturing stalwarts, notably in discrete manufacturing.

The shift to interconnected environments across industries is driving the demand for digital twin solutions across the world. Massive adoption of IoT is being witnessed, with over 41 billion connected IoT devices expected to be in use by 2030. For the successful implementation and functioning of IoT, increasing the throughput for every part or “thing” is necessary, which is made possible by digital twin technology. Since the behavior and performance of a system over its lifetime depend on its components, the demand for digital twin technology is increasing across the world for system improvement. The emergence of digitalization in manufacturing is driving the global digital twin market. Manufacturing units across the globe are investing in digitalization strategies to increase their operational efficiency, productivity, and accuracy. These digitalization solutions including digital twin are contributing to an increase in manufacturer responsiveness and agility through changing customer demands and market conditions.

On the other hand, there has been a wide implementation of digital technologies like artificial intelligence, IoT, clog, and big data which is increasing across the business units. The market solutions help in the integration of IoT sensors and technologies that help in the virtualization of the physical twin. The connectivity is growing and so are the associated risks like security, data protection, and regulations, alongside compliance.

During the COVID-19 pandemic, the use of digital twin technologies to manage industrial and manufacturing assets increased significantly across production facilities to mitigate the risks associated with the outbreak. Amid the lockdown, the U.S. implemented a National Digital Twin Program, which was expected to leverage the digital twin blueprint of major cities of the U.S. to improve smart city infrastructure and service delivery. The COVID-19 pandemic positively impacted the digital twin market demand for twin technology.

Delvens Industry Expert’s Standpoint

The use of solutions like digital twins is predicted to be fueled by the rapid uptake of 3D printing technology, rising demand for digital twins in the healthcare and pharmaceutical sectors, and the growing tendency for IoT solution adoption across multiple industries. With pre-analysis of the actual product, while it is still in the creation stage, digital twins technology helps to improve physical product design across the full product lifetime. Technology like digital twins can be of huge help to doctors and surgeons in the near future and hence, the market is expected to grow.

Market Portfolio

Key Findings

The enterprise segment is further segmented into Large Enterprises and Small & Medium Enterprises. Small & Medium Enterprises are expected to dominate the market during the forecast period. It is further expected to grow at the highest CAGR from 2023 to 2030.

The industry segment is further segmented into Automotive & Transportation, Energy & Utilities, Infrastructure, Healthcare, Aerospace, Oil & Gas, Telecommunications, Agriculture, Retail, and Other Industries. The automotive & transportation industry is expected to account for the largest share of the digital twin market during the forecast period. The growth can be attributed to the increasing usage of digital twins for designing, simulation, MRO (maintenance, repair, and overhaul), production, and after-service.  

The market is also divided into various regions such as North America, Europe, Asia-Pacific, South America, and Middle East and Africa. North America is expected to hold the largest share of the digital twin market throughout the forecast period. North America is a major hub for technological innovations and an early adopter of digital twins and related technologies.  

During the COVID-19 pandemic, the use of digital twin technologies to manage industrial and manufacturing assets increased significantly across production facilities to mitigate the risks associated with the outbreak. Amid the lockdown, the U.S. implemented a National Digital Twin Program, which was expected to leverage the digital twin blueprint of major cities of the U.S. to improve smart city infrastructure and service delivery. The COVID-19 pandemic positively impacted the digital twin market demand for twin technology.  

Regional Analysis

North America to Dominate the Market

North America is expected to hold the largest share of the digital twin market throughout the forecast period. North America is a major hub for technological innovations and an early adopter of digital twins and related technologies.  

North America has an established ecosystem for digital twin practices and the presence of large automotive & transportation, aerospace, chemical, energy & utilities, and food & beverage companies in the US. These industries are replacing legacy systems with advanced solutions to improve performance efficiency and reduce overall operational costs, resulting in the growth of the digital twin technology market in this region.

Competitive Landscape

ABB

AVEVA Group plc

Dassault Systemes

General Electric

Hexagon AB

IBM Corporation

SAP

Microsoft

Siemens

ANSYS

PTC

IBM

Recent Developments

In April 2022, GE Research (US) and GE Renewable Energy (France), subsidiaries of GE, collaborated and developed a cutting-edge artificial intelligence (AI)/machine learning (ML) technology that has the potential to save the worldwide wind industry billions of dollars in logistical expenses over the next decade. GE’s AI/ML tool uses a digital twin of the wind turbine logistics process to accurately predict and streamline logistics costs. Based on the current industry growth forecasts, AI/ML might enable a 10% decrease in logistics costs, representing a global cost saving to the wind sector of up to USD 2.6 billion annually by 2030.  

In March 2022, Microsoft announced a strategic partnership with Newcrest. The mining business of Newcrest would adopt Azure as its preferred cloud provider globally, as well as work on digital twins and a sustainability data model. Both organizations are working together on projects, including the use of digital twins to improve operational performance and developing a high-impact sustainability data model.

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Qualitative and quantitative data utilization to discover arrays of future growth from the market trends of leaders to market visionaries and then recognize the significant areas to compete in the future  

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Direct Purchase of Digital Twin Market Research Report at: https://www.delvens.com/checkout/digital-twin-market-trends-forecast-till-2030

Report Scope

Report FeatureDescriptionsGrowth RateCAGR of 60.9% during the forecasting period, 2023-2030Historical Data2019-2021Forecast Years2023-2030Base Year2022Units ConsideredRevenue in USD million and CAGR from 2023 to 2030Report Segmentationenterprise, platform, application, and region.Report AttributeMarket Revenue Sizing (Global, Regional and Country Level) Company Share Analysis, Market Dynamics, Company ProfilingRegional Level ScopeNorth America, Europe, Asia-Pacific, South America, and Middle East, and AfricaCountry Level ScopeU.S., Japan, Germany, U.K., China, India, Brazil, UAE, and South Africa (50+ Countries Across the Globe)Companies ProfiledABB; AVEVA Group plc; Dassault Systems; General Electric; Hexagon AB; IBM Corp.; SAP.Available CustomizationIn addition to the market data for Digital Twin Market, Delvens offers client-centric reports and customized according to the company’s specific demand and requirement.

TABLE OF CONTENTS

Large Enterprises

Small & Medium Enterprises            

Product Design & Development

Predictive Maintenance

Business Optimization

Performance Monitoring

Inventory Management

Other Applications

Automotive & Transportation

Energy & Utilities

Infrastructure

Healthcare

Aerospace

Oil & Gas

Telecommunications

Agriculture

Retail

Other Industries.

Asia Pacific

North America

Europe

South America

Middle East & Africa

ABB

AVEVA Group plc

Dassault Systemes

General Electric

Hexagon AB

IBM Corporation

SAP

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Delvens is a strategic advisory and consulting company headquartered in New Delhi, India. The company holds expertise in providing syndicated research reports, customized research reports and consulting services. Delvens qualitative and quantitative data is highly utilized by each level from niche to major markets, serving more than 1K prominent companies by assuring to provide the information on country, regional and global business environment. We have a database for more than 45 industries in more than 115+ major countries globally.

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[aluprof]

Leading With BIM

Many people in the Construction Industry still believe that BIM is just a modern design tool, but BIM is much more than this. Whilst design is certainly an element of BIM, collaboration is a key element, from inception through to completion of a project, and beyond. Collaboration across the design team, particularly at the early design stages both reduces risk and maximises value. A detailed BIM design forms a ‘single source of truth’ which de-risks the entire construction programme.

According to MacLeamy (2004) who plotted a simple graph of project time and project effort, it can be seen that the influence on the project design is high at the early design stages, whilst project changes further down the project timeline entails more effort and cost. MacLeamy argued that completing the design earlier in the construction programme reduced risk and cost by negating design changes later in the programme. An early BIM model using high quality, virtual BIM objects assists final design sign off earlier in the construction cycle.

BIM has been with us for some years now, so it is far from a new concept, but helps us in developing new methodologies for construction, new methodologies which help us reduce carbon in construction. According to Transparency Market Research, in 2025 the Construction Industry will generate as much as 2.2 billion tons of waste annually which is about 50% of all global solid waste. The Construction Industry has to move from this linear construction process to a circular construction process where buildings can be deconstructed and rebuilt using some or all of the same parts, or materials recycled back into buildings. A growing number of architectural practices globally are designing ‘temporary’ or ‘deconstructable’ buildings that fall into the circular construction methodology.

In the UK a recently completed project in London, the Forge, aspires to be the first commercial building constructed and operated in line with the UKGBC’s net zero definition and energy reduction targets. It comprises two new office buildings and a public courtyard. Located on Sumner Street, The Forge is a Landsec office development located just behind Tate Modern in London and utilising BIM at its core is one of the most innovative construction sites in London, pioneering several new construction methods fit for the decades ahead.

Breaking new ground, the project is be the world’s first large-scale office scheme built using a standardised “kit of parts”, in an approach known as ‘platform design for manufacture and assembly’ (P-DfMA), which applies the advances made by the  Manufacturing Industry to construction, this would not be possible without BIM. Aluprof are delighted to have been invited to take an early design role in developing a unitised facade system that meets the P-DfMA specification pioneered by architects and engineers Bryden Wood. Construction is led by Sir Robert McAlpine and Mace, working together in an innovative joint venture (JV) partnership.

Working with BIM essentially creates a 3D ‘digital twin’ of the building project and it doesn’t stop there. There are a further four ‘dimensions’ that are added, ‘4D’ Time, ‘5D’ Costs, ‘6D’ Sustainability and ‘7D’ Facilities Management. In effect, the BIM model carries all the data for the building, from the building programme through to eventual deconstruction. Any one element, such as the facade, falls into each of the dimensions of BIM, so the more detailed BIM models that can be obtained from suppliers, the greater efficiency is realised.

Finally, automated construction would not be possible without BIM as some of our building methods become automated, built by, or checked by ‘robots’. Yes, this could be the dawn of the robotic ‘Clerk of Works’. During the construction phase of a building, robots are being utilised to laser scan and monitor what has been built offering dimensional accuracy as well as monitoring the programme of works. This ‘real time’ analysis ensures that any potential problems are highlighted at very early stages, saving both cost and time.

With its acclaimed BIM Academy, Aluprof continues to pioneer innovative solutions in partnership with specifiers across the globe. With a huge library of models available to architects and engineers, Aluprof are constantly adding new models for standard and bespoke designs helping clients and developers obtain efficient and sustainable buildings.

Aluprof UK are proud to supply facade systems to a wide range of new and refurbished construction projects across Great Britain and Ireland, with Head Offices in Altrincham in the North West and with an architectural specification support office in the Business Design Centre in London, the company has rapidly grown their specification influence in the UK with their high-performance architectural aluminium systems. Further expansion of the company’s headquarters in Altrincham now provides specifiers with meeting facilities and an extensive showroom of commercial systems to view. Further information is available on the company website at aluprof.co.uk or direct from their UK head office in Altrincham on 0161 941 4005.

[jayanthitbrc]

Global Automated Container Terminal Global Market Report 2024 Market Analysis 2024: Size Forecast and Growth Prospects

The automated container terminal global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Automated Container Terminal Global Market Report 2024 Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size - The automated container terminal market size has grown strongly in recent years. It will grow from $12.35 billion in 2023 to $13.01 billion in 2024 at a compound annual growth rate (CAGR) of 5.3%. The growth in the historic period can be attributed to operational efficiency, labor optimization and cost reduction, growing container traffic, safety and security concerns, competitive pressure.

The automated container terminal market size is expected to see steady growth in the next few years. It will grow to $15.33 billion in 2028 at a compound annual growth rate (CAGR) of 4.2%. The growth in the forecast period can be attributed to advancements in artificial intelligence (AI), 5g connectivity and iot integration, autonomous vehicles and drones, global trade expansion, data analytics for predictive maintenance. Major trends in the forecast period include integration with smart port technologies, technological advancements in robotics, blockchain for supply chain visibility, digital twin technology, environmental sustainability.

Order your report now for swift delivery @ https://www.thebusinessresearchcompany.com/report/automated-container-terminal -global-market-report

Scope Of Automated Container Terminal Global Market Report 2024 Market The Business Research Company's reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market's historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

Automated Container Terminal Global Market Report 2024 Market Overview

Market Drivers - The increasing number of container ports is expected to propel the growth of the automated container terminal market going forward. A container port, also known as a container terminal, transports cargo containers between different transport vehicles for onward transportation. Automated container terminals provide increased efficiency and throughput compared to conventional manual terminals. These automated systems can manage containers more rapidly and precisely, resulting in quicker ship turnaround times and expanded terminal capacity. With the ongoing growth of global trade, the demand for container terminals that are both efficient and capable of handling high throughput becomes increasingly imperative. For instance, according to the United Nations Conference on Trade and Development’s Handbook 2023, a Switzerland-based intergovernmental organization, in 2021, global ports managed 851.1 million twenty-foot equivalent units (TEUs) of containers, an increase of 7% from 2020. Therefore, the increasing number of container ports is driving the growth of the automated container terminal market.

Market Trends - Major companies operating in the automated container terminal market are developing innovative technological products such as Termina to increase their profitability in the market. Terminal 7 is Taiwan's first and largest fully automatic container terminal, officially opened for business. For instance, in August 2023, Evergreen Marine Corporation, a UK-based appliance company, launched Terminal 7 at Kaohsiung Port. Terminal 7 has been equipped with cutting-edge technology, including Internet of Things (IoT) information networks throughout the facility, optical fiber connectivity, 5G communication systems, and remote-controlled gantry cranes. The terminal is designed to handle mega container ships, including Evergreen's 24,000-TEU vessels and future 24 methanol-fueled 16,000-TEU vessels. The development of automated and intelligent container terminals has improved significantly with the installation of Terminal 7, which is expected to boost the region's shipping-related economy and increase operational effectiveness.

The automated container terminal  market covered in this report is segmented –

1) By Product: Software, Equipment, Services 2) By Project: Greenfield Projects, Brownfield Projects 3) By Automation: Semi Automation, Fully Automation, Quary Crane

Get an inside scoop of the automated container terminal global market report 2024 market, Request now for Sample Report @ https://www.thebusinessresearchcompany.com/sample.aspx?id=13600&type=smp

Regional Insights - North America was the largest region in the automated container terminal market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the automated container terminal  market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Key Companies - Major companies operating in the automated container terminal  market report are Siemens AG, Cyberlogitec, ABB Ltd., Emerson Electric Co., Nidec ASI, Liebherr Group, DP World Limited, Deutschland GmbH, Terex Corporation, Konecranes, Port of Hamburg Marketing, COSCO SHIPPING Ports Limited, JBT Corporation, ORBCOMM, Cargotec Corporation, Port Of Los Angeles, Shanghai Zhenhua Heavy Industries Co. Ltd., Port of Barcelona, INFORM GmbH, Port of Long Beach, Camco Technologies, IDENTEC Solutions, TBA Group, APM Terminals, Künz GmbH

Table of Contents 1. Executive Summary 2. Automated Container Terminal Global Market Report 2024 Market Report Structure 3. Automated Container Terminal Global Market Report 2024 Market Trends And Strategies 4. Automated Container Terminal Global Market Report 2024 Market – Macro Economic Scenario 5. Automated Container Terminal Global Market Report 2024 Market Size And Growth ….. 27. Automated Container Terminal Global Market Report 2024 Market Competitor Landscape And Company Profiles 28. Key Mergers And Acquisitions 29. Future Outlook and Potential Analysis 30. Appendix

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[industrynewsupdates]

Digital Twin Market Growth Opportunities and Outlook 2024 - 2030

The global digital twin market size was estimated at USD 16.75 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 35.7% from 2024 to 2030. 

Digital twin technology is gaining traction owing to its potential to bridge the gap between the physical and virtual worlds. The global market is expected to grow significantly over the forecast period in line with the growing adoption of the Internet of Things (IoT) and big data analytics and the growing need to ensure cost-efficient operations, optimized processes, and reduced time to market. Moreover, digital twins would continue to evolve in line with innovations in virtual reality and augmented reality, thereby boosting the market's growth. Increasing public and private investments in digital transformation solutions are creating robust opportunities for market growth. Countries, such as the U.S., India, Australia, Brazil, Saudi Arabia, and South Africa, are significantly investing in digital transformation solutions to accelerate digitization.

Moreover, the growing demand for cloud-based digital applications due to factors like cost-effectiveness, ease of access, and flexibility in terms of usage is encouraging market players to develop and provide advanced cloud-native digital twin solutions. Implementing emerging technologies, such as cloud computing, big data, artificial intelligence (AI), IoT, and machine learning (ML), in digital twin solutions is anticipated to boost market growth during the forecast period. Various end-user companies are deploying IoT and AI technologies to collect and interpret data from connected devices, which can be later used in digital twin models to replicate the operation and performance of the existing device. This assists designers & engineers to monitor performance, identify issues, and predict any iterations of common problems.

Gather more insights about the market drivers, restrains and growth of the Digital Twin Market

Digital Twin Market Report Highlights

• In terms of solution, the process segment is anticipated to grow at the fastest CAGR of 37.5% from 2024 to 2030. The digital twin technique can be applied to several tasks, including tracking device performance, anticipating maintenance needs, and identifying potential issues, all of which will contribute to the segment's growth

• The cloud-based deployment segment is expected to register the fastest CAGR from 2024 to 2030. Cloud-based systems lower maintenance costs and installation expenses for physical equipment, giving businesses greater flexibility and cost-effectiveness

• The small enterprises segment is expected to register the fastest CAGR from 2024 to 2030. SMEs are increasingly using digital twin technologies to reduce expenses associated with product development and to easily access reasonably priced solutions

• The product design & development segment is expected to register the fastest CAGR from 2024 to 2030. A digital twin solution is in demand in product design and development due to various factors, such as helping engineers and designers visualize design concepts, reviewing manufacturing processes with computer-aided manufacturing (CAM) software, and simulating design performance

• The automotive and transportation industry is expected to register the fastest CAGR from 2024 to 2030. The automotive and transportation industries use digital twin solutions to maximize vehicle performance while reducing maintenance costs and downtime

• Asia Pacific is expected to register the highest CAGR from 2024 to 2030. The market is growing due to the substantial entry of international competitors, use of digital twin technologies in the industrial sector, and the spread of cloud platforms

• Market players are adopting various business strategies to attract potential clients and achieve higher profitability from this potential market

• For instance, in January 2023, IBM and Adobe Inc. announced a strategic partnership to offer next-generation digital transformation solutions for streamlining and optimizing organizations' supply chain & order management process by offering digital commerce experience to the customer from real-time tracking of inventory to the tracking of customer data for better end-user experience

Browse through Grand View Research's Next Generation Technologies Industry Research Reports.

• The global generative AI coding assistants market size was estimated at USD 18.6 million in 2023 and is projected to grow at a CAGR of 25.8% from 2024 to 2030. 

• The global IoT platform market size was estimated at USD 11.10 billion in 2023 and is projected to grow at a CAGR of 12.7% from 2024 to 2030.

Digital Twin Market Segmentation

Grand View Research has segmented the global digital twin market on the basis of solution, deployment, enterprise size, application, end-use, and region:

Digital Twin Solution Outlook (Revenue, USD Billion, 2018 - 2030)

• Component

• Process

• System

Digital Twin Deployment Outlook (Revenue, USD Billion, 2018 - 2030)

• Cloud

• On-premise

Digital Twin Enterprise Size Outlook (Revenue, USD Billion, 2018 - 2030)

• Large Enterprises

• Small and Medium Enterprises (SMEs)

Digital Twin Application Outlook (Revenue, USD Billion, 2018 - 2030)

• Product Design & Development

• Predictive Maintenance

• Business Optimization

• Others

Digital Twin End-use Outlook (Revenue, USD Billion, 2018 - 2030)

• Manufacturing

• Agriculture

• Automotive & Transport

• Energy & Utilities

• Healthcare & Life Sciences

• Residential & Commercial

• Retail & Consumer Goods

• Aerospace

• Telecommunication

• Others(Aerospace & Defense, Mining, Financial Services)

Digital Twin Regional Outlook (Revenue, USD Billion, 2018 - 2030)

• North America

o U.S.

o Canada

• Europe

o UK

o Germany

o France

• Asia Pacific

o India

o China

o Japan

o Australia

o South Korea

• Latin America

o Brazil

o Mexico

• Middle East & Africa (MEA)

o UAE

o Saudi Arabia

o South Africa

Order a free sample PDF of the Digital Twin Market Intelligence Study, published by Grand View Research.

[fronzennews]

AI Twins Creation: Transforming Personality Replication Through AI Technology

The AI twins creation represents a remarkable leap in artificial intelligence technology, enabling the development of highly accurate replicas of human personalities. Recent advancements led by researchers at Stanford University and Google DeepMind have paved the way for this innovative technique, highlighting its potential impact across various fields, including social sciences, psychology, and marketing.

Understanding AI Twins

AI twins are sophisticated AI models designed to replicate individual human personality traits. By utilizing advanced data analysis and dialogue modeling, these digital counterparts can mimic behaviors, values, and preferences with impressive accuracy. Their creation involves a structured approach that encapsulates key aspects of a person's persona. 1.2 Significance of Recent Advancements The collaborative effort between researchers at Stanford and Google DeepMind has underscored the significance of these advancements. With their pioneering methods, these institutions have not only contributed to the field of AI but have also opened doors to practical applications that can reshape how we conduct research and understand human behavior.

2. Methodology Behind AI Twin Creation

Developing AI twins involves innovative methodologies focused on a user-friendly interview process that gathers comprehensive personality data. This structured approach is essential in creating a detailed and accurate representation of human traits. 2.1 The Interview Process The methodology begins with a two-hour spoken interview, where individuals engage in conversations covering a wide range of topics such as childhood experiences, professional journeys, and viewpoints on social issues. This conversational style is pivotal in allowing the AI to capture not just explicit opinions but the underlying values and nuances that make each person unique. 2.2 Measuring Accuracy in Personality Replication To assess the accuracy of AI twins, researchers employed various personality assessments, social surveys, and logic games. Findings indicated that these AI replicas achieved around 85% accuracy in mirroring their human counterparts, demonstrating a solid correlation between the responses of AI twins and actual human participants.

3. Research and Testing of AI Twins

The research conducted to develop and validate AI twins was extensive, emphasizing the importance of participant diversity and robust experimental methods. 3.1 Participant Recruitment The study recruited a diverse cohort of 1,000 participants from various backgrounds to ensure the findings were comprehensive and representative. This diversity is crucial, as it enhances the AI's ability to replicate a wide array of personality traits and behaviors aligning with different demographics. 3.2 Testing AI Twins Against Human Responses Once AI twins were created, they underwent rigorous testing against responses from the human subjects. Through a series of controlled exercises, researchers compared the outcomes of AI twin interactions with human responses, confirming that the AI systems could effectively replicate human personality traits and decision-making processes.

4. Applications and Implications of AI Twins

AI twins have promising applications across multiple disciplines, signifying a transformative approach to research in social sciences, psychology, and marketing strategies. 4.1 Impact on Social Sciences and Psychology The ability to utilize AI twins for research can offer unparalleled opportunities for conducting studies that would otherwise be challenging for human participants. From exploring psychological phenomena to social behavior patterns, these AI replicas can simulate environments and reactions, providing deeper insights without the ethical concerns associated with human testing. 4.2 Marketing Innovations with AI Twins In marketing, AI twins can aid companies in comprehending customer behaviors and preferences. By simulating different personality profiles, businesses can refine their strategies to target audiences more effectively, develop tailored marketing campaigns, and gain a competitive edge in understanding consumer dynamics.

5. Data Efficiency in AI Twin Creation

The efficiency of the AI twin creation process is noteworthy, representing a shift from traditional methods that heavily rely on large datasets. 5.1 Innovative Approaches by Companies Companies like Tavus are at the forefront of leveraging this efficient methodology, exploring the potential of shorter, segmented interviews for personality replication. This approach facilitates the development of AI twins without the extensive data scrutiny previously deemed essential, streamlining the creation process and making it more accessible to various sectors.

6. Ethical Considerations of AI Twins

Alongside the technological advancements, the creation of AI twins introduces a range of ethical challenges that require careful consideration. 6.1 Risks of Misuse and Deepfakes The potential misuse of AI twins, such as generating deepfakes or unauthorized impersonations, poses significant ethical dilemmas. The ease with which these replicas can be created raises questions about identity theft, privacy violations, and the authenticity of digital interactions. 6.2 The Need for Regulation Establishing regulatory frameworks and ethical guidelines is imperative to oversee the development and application of AI twins. These measures will help mitigate risks associated with their misuse while promoting responsible and transparent practices within the AI community.

7. Integrating AI Twins with Other AI Technologies

The evolution of AI twins is part of a broader paradigm of AI innovations, enhancing efficiency and accuracy across various applications beyond personality replication. 7.1 The Role of Generative AI Generative AI plays a complementary role in the realization of AI twins, facilitating the creation of digital replicas that accurately reflect human characteristics. This synergy is evident in other domains, such as creating digital twins representing physical assets and systems, further underscoring the versatility of AI technologies. 7.2 Multifaceted Benefits and Challenges Integrating AI twins into existing systems can yield massive benefits, including streamlined processes and improved insights. However, it is essential to remain cognizant of the accompanying challenges that may arise, such as maintaining the integrity of data, fostering user trust, and ensuring user consent in AI interactions.

8. Conclusion: The Future of AI Twins

As the technology behind AI twins continues to develop, it will undoubtedly play a crucial role in shaping the future of AI research and applications. The implications of these advancements in personality replication deepen our understanding of human behavior and open new pathways for inquiry across diverse fields. The ongoing evolution of AI necessitates vigilance regarding ethical implications and responsible usage while also inviting exploration of its transformative potential. For more articles on related topics, be sure to check out my blog: FROZENLEAVES NEWS.   Read the full article

[rohitpalan]

Structural Health Monitoring Market 2024 Future Analysis, Demand by Regions and Opportunities with Challenges 2034

According to the latest industry analysis, the global market size for structural health monitoring is estimated to be around US$ 4,478.0 million in 2024. It is projected to exhibit a CAGR growth of 14.0% over the forecast period, with an estimated market size of US$ 16,601.1 million by 2034.

The construction and infrastructural development sector, in the last few years, is witnessing a significant boom, especially post-pandemic. Emerging economies are investing a considerable amount of money in constructing public utilities such as bridges, roads, and flyovers. This has resulted in an exponential expansion of the market for structural health monitoring solutions.

Structural failures such as bridge collapses and weakened flyovers have also led to a massive demand for structural health monitoring solutions. Governments across the world have mandated stringent structural integrity assessments to ensure maximum public safety, which is driving the demand for these solutions. The expansion of smart and self-sufficient cities in countries like India, China, Brazil, and Singapore has also amplified the adoption of structural health monitoring equipment.

Companies involved in the manufacturing of structural health monitoring systems are increasingly integrating artificial intelligence and machine learning algorithms for predicting the mechanical integrity of buildings. Technological advancements, such as the use of drones and unmanned aerial vehicles (UAVs) for regular inspections and surveys, have also fueled the market expansion.

“Continuous innovation is the key in this market. Companies in the structural health monitoring market must come up with new innovations, like the integration of Artificial Intelligence and Machine Learning algorithms to comprehensively assess and analyze structural data in real time,” opines an FMI analyst.

Key Takeaways from the Market Study

The wired structural health monitoring segment is set to dominate the structural health monitoring market with a share of 62.40% in 2024.

Based on components, the structural health monitoring software segment is on track to lead the structural health monitoring industry with a share of 38.30% in 2024.

The structural health monitoring industry in China is anticipated to develop at a CAGR of 14.50% through 2034.

The structural health monitoring industry in Germany is estimated to rise at a 5.50% CAGR through 2034.

The structural health monitoring market in the United States has the potential to increase at 10.90% CAGR through 2034.

The Germany structural health monitoring industry is predicted to rise by 5.50% CAGR through 2034.

The structural health monitoring industry in Australia and New Zealand is likely to progress at a CAGR of 17.50% through 2034.

Competitive Landscape

The structural health monitoring market includes several leading companies, such as Nova Metrix LLC, Campbell Scientific Inc., COWI, Geocomp Corporation, Acellent Technologies Inc., Sixense, Pure Technologies (Xylem, Inc.), and Digitex.

These companies specialize in offering a range of services to construction companies, both public and private.

They also offer consulting and monitoring services to stakeholders in various industries such as civil engineering, construction, transportation, and energy.

These companies play a crucial role in helping construction companies monitor and assess the safety and health of their buildings and infrastructure.

Recent Developments:

ABS and Seatrium, in November 2023, achieved structural health monitoring notation for ADMARINE 686, with a digital twin for predictive maintenance.

IIT Mandi and INRIA developed AI-based structural health monitoring for accurate infrastructure health prediction in September 2023.

In November 2023, University of Central Florida researchers unveiled four innovations utilizing AI and virtual reality to enhance structural health monitoring. This also included their flagship ‘Virtual Visualization System’.

Read More @https://finance.yahoo.com/news/global-structural-health-monitoring-market-140500217.html

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Industry 4.0 Market Size, Share & Industry Growth Analysis Report by Technology (Industrial Robots, Blockchain, Industrial Sensors, Industrial 3D Printing, Machine Vision, HMI, AI in Manufacturing, Digital Twin, AGV's, Machine Condition Monitoring) and Geography - Global Growth Driver and Industry Forecast to 2028

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Engineering Software Market 2024-2033 : Demand, Trend, Segmentation, Forecast, Overview And Top Companies 

The engineering software global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Engineering Software Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size - The engineering software market size has grown rapidly in recent years. It will grow from $47.84 billion in 2023 to $55.63 billion in 2024 at a compound annual growth rate (CAGR) of 16.3%.  The growth in the historic period can be attributed to increasing complexity of product designs, globalization of engineering workforce, regulatory compliance requirements, cost and time savings, growing adoption of simulation tools.

The engineering software market size is expected to see rapid growth in the next few years. It will grow to $102.55 billion in 2028 at a compound annual growth rate (CAGR) of 16.5%.  The growth in the forecast period can be attributed to emphasis on additive manufacturing, increased focus on cybersecurity, demand for cloud-based solutions, expansion of digital twins across industries. Major trends in the forecast period include cloud-based solutions, industry 4.0 and IoT integration, additive manufacturing, open-source software, user experience (UX) design.

Order your report now for swift delivery @ https://www.thebusinessresearchcompany.com/report/engineering-software-global-market-report

The Business Research Company's reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market's historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

Market Drivers - The rising automation in manufacturing is expected to propel the engineering software market going forward. Manufacturing automation refers to the use of technology and machinery to perform tasks or processes with minimal human intervention. Automation in manufacturing is rising because of the aging workforce, skills gaps, labor shortages, demand for customization, and quality control benefits. Engineering software enhances automation in manufacturing by providing the necessary tools and capabilities to design, simulate, analyze, control, and optimize automated processes efficiently. For instance, in October 2022, according to the International Federation of Robotics, a Germany-based non-profit organization, the installation of industrial robots in the USA reached 50,712 units in 2021, reflecting a 31% increase compared to the previous year. Therefore, rising automation in manufacturing is driving the growth of the engineering software market.

Market Trends - Major companies operating in the enterprise application integration market are focusing on technological advancements, such as the Super Integration Platform, to deliver a seamless and personalized customer experience. The Super Integration Platform is a cutting-edge enterprise integration platform that combines web methods and stream sets to provide a unified solution for integrating applications, data, APIs (application programming interfaces), and B2B interactions seamlessly. For instance, in October 2023, Software AG, a Germany-based software company, introduced a revolutionary solution called Super iPaaS, an advanced enterprise integration platform, to address the challenges faced by enterprises in managing the connectivity caused by rapid digital expansion. It allows users to connect to anything, anywhere, and in any way they desire, ensuring secure connections and data-informed decisions. This innovative platform offers a unified experience across all integration components, providing unprecedented visibility and governance while increasing developer collaboration and productivity.

The engineering software market covered in this report is segmented – https://www.thebusinessresearchcompany.com/sample.aspx?id=14703&type=smp 1) By Component: Software, Services 2) By Deployment: Cloud, On-Premises 3) By Application: 3D Printing, Enterprise Resource Planning, Plant Layout, Drafting And 3D Modeling, Project Management, Knowledge Management, Product Design And Testing 4) By End-Use: Automotive, Aerospace And Defense, Electronics, Medical Devices, Architecture, Engineering, And Construction (AEC), Other End-Uses

Get an inside scoop of the engineering software market, Request now for Sample Report @ https://www.thebusinessresearchcompany.com/sample.aspx?id=14703&type=smp

Regional Insights - North America was the largest region in the engineering software market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the engineering software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

Key Companies - Major companies operating in the engineering software market are Siemens Ltd., International Business Machines Corporation, General Electric Company, Oracle Corporation, Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Ltd., Emerson Electric Co. , HCL Technologies, Rockwell Automation Inc., Dassault Systèmes, Hexagon AB, Keysight Technologies, Synopsys Inc., Autodesk Inc., Ansys Inc., PTC Inc., National Instruments Corporation, Aveva Group Plc., MathWorks Inc. , Bentley Systems Inc., Altair Engineering Inc., Altium Limited, Aras Corp, ComplianceQuest

Table of Contents 1. Executive Summary 2. Engineering Software Market Report Structure 3. Engineering Software Market Trends And Strategies 4. Engineering Software Market – Macro Economic Scenario 5. Engineering Software Market Size And Growth ….. 27. Engineering Software Market Competitor Landscape And Company Profiles 28. Key Mergers And Acquisitions 29. Future Outlook and Potential Analysis 30. Appendix

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