#Artificial Intelligence In Small & Medium Business Market Report

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Artificial Intelligence In Small & Medium Business Market - Forecast(2024 - 2030)

Artificial Intelligence In Small & Medium Business Market Overview

The Artificial Intelligence In Small & Medium Business Market size is estimated to reach $90.68 Billion by 2027, growing at a CAGR of 22.10% during the forecast period 2022-2027 majorly due to the rising adoption of cloud computing technologies in small and medium enterprises sector coupled with the deployment of Internet of Things (IoT) driven solution across the industry. Artificial intelligence plays a vital role in offering supreme customer relationship management solution, primarily in the BFSI sector which tend to propel the growth of Artificial Intelligence in the Small & Medium Business Market industry. For instance, as stated by Personetics, a leading global provider of data-driven personalization and customer engagement solutions for the Financial Services industry that 67% of small businesses want their bank to offer online cashflow management, data analysis, forecasting and budgeting tools to help businesses control their finances and simplify money management. This increasing demand of solutions tends to bring significant growth in the Artificial Intelligence In Small & Medium Business Market share during the forecast period. Moreover, the transformation of the education sector with the deployment of facial recognition technology to increase student engagement and interest increase security use is analyzed to drive Artificial Intelligence in the Small & Medium Business Market in coming years.

Artificial Intelligence In Small & Medium Business Market Report Coverage

The “Artificial Intelligence In Small & Medium Business Market Report– Forecast (2022-2027)” by IndustryARC, covers an in-depth analysis of the following segments in the Artificial Intelligence In Small & Medium Business Market.

By Type: Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI).

By Deployment: On-Premises, Cloud and Hybrid.

By Technology: Machine Learning, Deep Learning, Natural Language Processing and Others.

By Learning Model: Unsupervised Learning, Supervised Learning, Reinforced Learning, Semi-supervised Learning and Others.

By SME Market Type: Solo Proprietorship, Partnership, Closed Corporation and Limited Liability Partnership.

By Application: Customer Relationship Management, Fleet Management, Talent Management, Financial Reporting, Risk Assessment, Sales & Marketing Activity Handling, Improving Talent Acquisition, Visualization, Analysis & Reporting, Inventory Management, Security Application and Others.

By End-User Industry: BFSI, Retail & E-commerce, Healthcare, Media & Entertainment, Manufacturing, Automotive, Transportation & Logistics and Others.

By Geography: North America (U.S, Canada, Mexico), Europe (U.K, Germany, France, Italy, Spain, Netherlands and Others), APAC (China, Japan India, South Korea, Australia, Singapore, Others), South America (Brazil, Argentina, Chile, Colombia, Others), RoW (Middle East, Africa).

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Key Takeaways

Rising adoption of cloud-based services by small and medium enterprises (SMEs) is analyzed to drive Artificial Intelligence in the Small & Medium Business Market during the forecast period 2022-2027.

Based on technology, the machine learning segment dominated the global Artificial Intelligence in the Small & Medium Business Market in 2021 owing to the extensive advantages it offers to the end-users which include improved efficiency, catch manufacturing defects, predicting machine failures, reducing unplanned downtime and increasing productivity.

Artificial Intelligence in the Small & Medium Business Market in the BFSI sector is expected to grow at the highest rate during the forecast period 2022-2027, owing to the increasing adoption of AI to leverage data from multiple sources to make faster as well as accurate decisions and provide individualized frictionless customer experiences in banking.

Asia-Pacific region is analysed to grow at the highest rate in the Artificial Intelligence In Small & Medium Business Market across the globe during the forecast period 2022-2027, owing to the increasing penetration of AI solutions across various SMEs coupled with rising government investments to boost the small and medium business organizations in this region.

Artificial Intelligence In Small & Medium Business Mrket Segment Analysis - by Technology

Artificial Intelligence in the Small & Medium Business Market with Machine Learning technology held the largest share of 43.11% in 2021 and is analyzed to witness significant growth during the forecast period 2022-2027. Machine learning helps small and medium enterprises to improve efficiency, catch manufacturing defects, predict machine failures, reduce unplanned downtime and increase productivity. Rapid enhancement of machine learning and artificial intelligence produces the technology more applicable and accessible to small and medium-scaled businesses. According to the report given by Forbes, AI and ML systems are being employed by enterprises to provide intelligence to their security systems. This can help Small & Medium Business in preventing cyberattacks and respond to suspicious behaviour, which can further aid cybersecurity teams to be more proactive in preventing threats and responding to active attacks in real-time. For instance, in 2020, the Indian government in a major initiative onboarded the latest IT tools of Artificial Intelligence (AI) and Machine Learning for providing assistance and solutions to Small & Medium businesses. This multi-modal system has a portal at the virtual level and technology-equipped physical control rooms at around 69 locations of the country which tend to contribute significantly to the growth of machine learning technology in the Artificial Intelligence In Small & Medium Business Market during the forecast period.

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Artificial Intelligence In Small & Medium Business Market Segment Analysis - by End-user Industry

Artificial Intelligence in the Small & Medium Business Market in Banking, Financial Services and Insurance (BFSI) sector is analyzed to grow at the fastest rate with a CAGR of 25.12% between 2022 and 2027. The growth of artificial intelligence in BFSI industry is majorly driven by the increasing implementation of innovative design-centric and data-driven products and services that can transform the small & medium business customer experience. Artificial Intelligence spurs the digital experience and utilisation of data that will transform SME banking services. According to World Bank, small & medium businesses contribute to around 90% of businesses and more than 50% of employment worldwide. To ensure stability and protection of SMBs against exploitation, there is a growing demand to smoothen the credit process which leads to the emergence of fintech. It has emerged as the game-changers in the country's micro-credit scenario. This fintech is powered by emerging technologies such as AI, ML and Big Data and is bringing about a transitional shift in micro-lending for small & medium enterprises which is analyzed to contribute significantly to the growth of Artificial Intelligence in the Small & Medium Business Market in the BFSI industry during the forecast period.

Artificial Intelligence In Small & Medium Business Market Segment Analysis - by Geography

Artificial Intelligence In Small & Medium Business Market in Asia Pacific region is analysed to grow at the fastest rate, with a CAGR of 26.34% during the forecast period 2022-2027, majorly driven by the growing governmental programs for the implementation of AI in small and medium enterprises in this region. For instance, in March 2020, the Ministry of Industry and Information Technology (MIIT) in China issued a special action plan for the digital empowerment of SMBs. The Fudan-Ping, a Research Institute for Macroeconomy report confirms the necessity of this action plan and recommends that governments at all levels increase their support to large technology companies that are developing standardized digital services which meet the needs of SMEs and provide tax cuts and financing facilities for SMEs' digital transformation projects. Moreover, increasing government investments in the deployment of various AI technologies in this region tend to contribute significantly to the growth of Artificial Intelligence in the Small & Medium Business Market in Asia-Pacific region during the forecast period.

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Artificial Intelligence In Small & Medium Business Market Drivers

The rising adoption of cloud-based services by small and medium enterprises (SMEs) is analyzed to drive Artificial intelligence in the Small & Medium Business market:

The rise in the adoption of cloud-based solutions is a key factor driving the growth of Artificial Intelligence in the Small & Medium Business Market. This cloud-based solution will help in lowering the adoption costs, facilitates co-creation and innovation thereby driving AI-powered transformation in Small & Medium Business. Moreover, the use of AI in the cloud helps in the better synthesis of constantly evolving data systems for identifying helpful information. Then, this information can be implemented for practical business use cases. Recently, SMEs have shown a great interest in including cloud computing in their overall Information technology (IT) strategies. A recent report by The Science and Information (SAI) on the adoption rate of cloud service by SMEs informed that, 70% of SMEs have formerly bought at least two cloud services and 40% have bought six or more cloud services. At the same time, Dell reports that companies that invest in cloud-based solutions have witnessed 53% faster revenue growth than their competitors which tend to promote the growth of Artificial Intelligence in the Small & Medium Business Market during the forecast period.

Usage of Artificial Intelligence In Small & Medium Businesses to effectively delegate routine tasks is expected to drive the Market:

In the past few years, artificial intelligence (AI) has not only moved to the top of the agenda for large businesses, but also for small and medium enterprises across the globe. AI is expected to benefit SMEs, including fighting Covid-19, enabling resilience and improving green, sustainable growth. AI in Small and Medium businesses is dominated by various industries such as e-commerce, healthcare and Insurance. Using AI-powered chatbots, many small and medium businesses with fewer human resources can offer world-class customer service and support to their existing and new users and delight them at every point of interaction. In addition, the AI can also perform some mundane tasks like scheduling business meetings and many more. For instance, according to the report given by American Express on 2021, more than 40% of customers demand quicker customer support and Artificial Intelligence can be that tool that can enable small businesses to fulfill this demand. These advantages offered by AI in SMBs tend to contribute significantly in its market growth during the forecast period.

Artificial Intelligence In Small & Medium Business Market Challenge

Increasing cyber threats and privacy concerns tend to hamper the growth of Artificial Intelligence in the Small & Medium Business Market:

With the growing adoption of the digital technologies, the risks of cyberattacks and data breaches have increased significantly. These cyberattacks may cause huge financial losses to organizations and consumers. Therefore, tackling this data privacy and cyberattack issue is a major threat to the global artificial intelligence market. Small & Medium businesses have become one of the biggest targets for cyber-attacks in the past few years. As a result of inadequate security and a lack of awareness and training for staff, they have become easy prey. According to The Identity Theft Center, data breaches have increased by 38% since 2021, costing $4.24 million and forcing 78% of companies to re-evaluate their cybersecurity practices. In the last four years, the financial impact of cybercrimes has increased heavily and the time it takes to resolve cyberattacks has doubled. The increase in data from various sources is cumbersome for several IT teams. The inefficiency of managing exabytes and petabytes of data has increased the chances of security breaches and data losses. These factors tend to be a major factor restraining the growth of Artificial Intelligence In Small & Medium Business Market across the globe.

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Artificial Intelligence In Small & Medium Business Market Industry Outlook

Product launches, acquisitions and R&D activities are key strategies adopted by players in the Artificial Intelligence In Small & Medium Business Market Report. The top 10 companies in the Artificial Intelligence In Small & Medium Business Market are:

Amazon

IBM Corporation

Microsoft Corporation

Google LLC

NVIDIA Corporation

SAP SE

Oracle Corporation

Hewlett Packard Enterprises Development LP

SAS Institute Inc.

Salesforce Inc.

Recent Developments

In April 2022, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company announced that the company invested more than $30 million to early-stage start-ups, known as new AWS Impact Accelerator, led by Black, Latino, LGBTQIA+ and women founders. As per the investment plan, every qualifying start-up receives up to $225,000 from AWS Impact Accelerator for accelerating their technological endeavors, including optimizing cloud infrastructure.

In April 2022, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company signed a collaboration agreement with Boeing to offer support to Boeing in terms of extending the aerospace's existing cloud operations. The collaboration also streamlines Boeing’s approach to cloud computing with the help of AWS. In addition, AWS power the new and existing Boeing digital applications to denote valuable insights for driving more efficient operations, product innovation and enhanced customer support.

In November 2021, IBM Corporation signed the partnership agreement with NeuReality, a semiconductor company for the next generation of AI-Centric computing system. The business partnership was developed to design AI Interface Platform, resulting in providing software integration support as well as the system-level validation in terms of the NR1 service platform availability.

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The Future of ERP Software in India:  Trends to Watch in 2024

As India continues to solidify its position as a global economic powerhouse, the demand for sophisticated Enterprise Resource Planning (ERP) solutions has never been higher.  ERP software companies in India are at the forefront of this transformation, driving innovation and efficiency across various industries.  As we look ahead to 2024, several key trends are shaping the future of ERP software in India.  This blog delves into these trends, offering insights into how ERP software providers in India are gearing up to meet the evolving needs of businesses.

1.  Increased Adoption of Cloud-Based ERP Solutions

One of the most significant trends in the ERP landscape is the shift towards cloud-based solutions.  ERP software companies in India are increasingly offering cloud-based ERP systems to meet the growing demand for flexibility, scalability, and cost-efficiency.  Cloud ERP solutions eliminate the need for extensive on-premises infrastructure, allowing businesses to reduce capital expenditure and streamline operations.

Cloud-based ERP systems also facilitate real-time data access and collaboration, enabling businesses to make informed decisions quickly.  This trend is particularly beneficial for small and medium-sized enterprises (SMEs) that require affordable and scalable ERP solutions to compete effectively in the market.

2.  Integration of Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the ERP landscape.  ERP software providers in India are integrating AI and ML technologies to enhance the capabilities of their solutions.  These technologies enable predictive analytics, automate routine tasks, and provide intelligent insights, helping businesses to optimize their operations.

For instance, AI-powered ERP systems can forecast demand, manage inventory levels, and predict maintenance needs, significantly improving efficiency and reducing costs.  As AI and ML technologies continue to evolve, their integration into ERP systems will become more sophisticated, offering even greater value to businesses.

3.  Focus on Industry-Specific ERP Solutions

ERP software companies in India are increasingly developing industry-specific ERP solutions to cater to the unique needs of different sectors.  Whether it is manufacturing, retail, healthcare, or finance, each industry has distinct requirements that generic ERP systems might not fully address.  Industry-specific ERP solutions offer tailored functionalities and workflows, ensuring better alignment with business processes.

For example, a manufacturing ERP system might include features for production planning, quality control, and supply chain management, while a retail ERP system could focus on inventory management, point of sale (POS) integration, and customer relationship management (CRM).  This trend towards specialization ensures that businesses can leverage ERP systems that truly support their operational needs.

4.  Enhanced Mobile Accessibility

With the proliferation of smartphones and mobile devices, the need for mobile-friendly ERP solutions is growing.  ERP software providers in India are developing mobile applications that allow users to access critical business information on the go.  Mobile ERP solutions enable employees to perform tasks such as inventory checks, sales order processing, and expense reporting from their smartphones or tablets.

This trend not only improves accessibility but also enhances productivity by enabling employees to work remotely and make decisions in real-time.  As mobile technology continues to advance, the functionality and user experience of mobile ERP applications will improve, making them an indispensable tool for modern businesses.

5.  Increased Emphasis on Data Security and Compliance

As businesses become more reliant on digital technologies, data security and compliance have become paramount.  ERP software providers in India are prioritizing data protection by incorporating advanced security features into their solutions.  This includes encryption, multi-factor authentication, and regular security audits to safeguard sensitive business information.

Moreover, with the implementation of regulations such as the General Data Protection Regulation (GDPR) and India’s Personal Data Protection Bill, compliance is a critical concern for businesses.  ERP software providers are ensuring that their systems comply with these regulations, helping businesses avoid legal penalties and build trust with their customers.

6.  Rise of Hybrid ERP Solutions

While cloud-based ERP systems offer numerous advantages, some businesses prefer on-premises solutions due to specific regulatory or operational requirements.  To cater to these diverse needs, ERP software companies in India are offering hybrid ERP solutions that combine the benefits of both cloud and on-premises systems.

Hybrid ERP solutions provide the flexibility of cloud-based systems while allowing businesses to maintain critical applications on-premises.  This approach offers a balanced solution, enabling businesses to optimize their IT infrastructure based on their unique needs and preferences.

7.  Adoption of Advanced Analytics and Business Intelligence

Data is the new currency in today’s business environment, and the ability to harness and analyze data is a key competitive advantage.  ERP software providers in India are integrating advanced analytics and business intelligence (BI) tools into their systems.  These tools enable businesses to gain deep insights into their operations, identify trends, and make data-driven decisions.

Advanced analytics and BI tools can analyze large volumes of data from various sources, providing comprehensive reports and dashboards.  This helps businesses to monitor performance, identify inefficiencies, and uncover new opportunities for growth.

8.  Greater Focus on User Experience and Interface Design

The user experience (UX) and interface design of ERP systems are critical to their adoption and effectiveness.  ERP software companies in India are placing a greater emphasis on developing intuitive and user-friendly interfaces.  This trend is driven by the need to ensure that ERP systems are accessible and easy to use for all employees, regardless of their technical expertise.

Modern ERP systems feature clean, responsive interfaces with customizable dashboards and navigation options.  This focus on UX design helps to improve user satisfaction, reduce training time, and increase overall productivity.

9.  Integration with the Internet of Things (IoT)

The Internet of Things (IoT) is transforming the way businesses operate by enabling real-time monitoring and data collection from connected devices.  ERP software providers in India are integrating IoT capabilities into their systems to enhance operational efficiency and decision-making.

IoT-enabled ERP systems can monitor equipment performance, track inventory levels, and optimize supply chain operations.  For example, sensors placed on manufacturing equipment can detect anomalies and trigger maintenance requests before a breakdown occurs.  This integration of IoT with ERP systems allows businesses to leverage real-time data for proactive management and improved efficiency.

10.  Sustainable and Green ERP Solutions

Sustainability is becoming a key consideration for businesses across industries.  ERP software companies in India are developing solutions that support sustainable practices and environmental responsibility.  Green ERP solutions help businesses to monitor and reduce their environmental impact by tracking energy consumption, waste management, and resource utilization.

By integrating sustainability metrics into their ERP systems, businesses can set and achieve environmental goals, comply with regulations, and enhance their corporate social responsibility (CSR) initiatives.  This trend towards sustainable ERP solutions reflects the growing importance of environmental stewardship in today’s business landscape.

Conclusion

The future of ERP software in India is marked by innovation, adaptability, and a deep understanding of the unique needs of businesses.  ERP software providers in India are leading the charge, offering solutions that are not only technologically advanced but also aligned with the evolving demands of the market.  As we move into 2024, the trends highlighted in this blog will play a crucial role in shaping the ERP landscape, driving efficiency, and fostering growth across industries.

ERP software providers in India are well-positioned to support businesses in their digital transformation journeys, providing the tools and insights needed to thrive in a competitive environment.  By staying ahead of these trends, businesses can leverage ERP solutions to achieve operational excellence and sustainable growth.

[seashoresolutions]

The Power of Python: How Python Development Services Transform Businesses

In the rapidly evolving landscape of technology, businesses are continuously seeking innovative solutions to gain a competitive edge. Python, a versatile and powerful programming language, has emerged as a game-changer for enterprises worldwide. Its simplicity, efficiency, and vast ecosystem of libraries have made Python development services a catalyst for transformation. In this blog, we will explore the significant impact Python has on businesses and how it can revolutionize their operations.

Python's Versatility:

Python's versatility is one of its key strengths, enabling businesses to leverage it for a wide range of applications. From web development to data analysis, artificial intelligence to automation, Python can handle diverse tasks with ease. This adaptability allows businesses to streamline their processes, improve productivity, and explore new avenues for growth.

Rapid Development and Time-to-Market:

Python's clear and concise syntax accelerates the development process, reducing the time to market products and services. With Python, developers can create robust applications in a shorter timeframe compared to other programming languages. This agility is especially crucial in fast-paced industries where staying ahead of the competition is essential.

Cost-Effectiveness:

Python's open-source nature eliminates the need for expensive licensing fees, making it a cost-effective choice for businesses. Moreover, the availability of a vast and active community of Python developers ensures that businesses can find affordable expertise for their projects. This cost-efficiency is particularly advantageous for startups and small to medium-sized enterprises.

Data Analysis and Insights:

In the era of big data, deriving valuable insights from vast datasets is paramount for making informed business decisions. Python's libraries like NumPy, Pandas, and Matplotlib provide powerful tools for data manipulation, analysis, and visualization. Python's data processing capabilities empower businesses to uncover patterns, trends, and actionable insights from their data, leading to data-driven strategies and increased efficiency.

Web Development and Scalability:

Python's simplicity and robust frameworks like Django and Flask have made it a popular choice for web development. Python-based web applications are known for their scalability, allowing businesses to handle growing user demands without compromising performance. This scalability ensures a seamless user experience, even during peak traffic periods.

Machine Learning and Artificial Intelligence:

Python's dominance in the field of artificial intelligence and machine learning is undeniable. Libraries like TensorFlow, Keras, and PyTorch have made it easier for businesses to implement sophisticated machine learning algorithms into their processes. With Python, businesses can harness the power of AI to automate tasks, predict trends, optimize processes, and personalize user experiences.

Automation and Efficiency:

Python's versatility extends to automation, making it an ideal choice for streamlining repetitive tasks. From automating data entry and report generation to managing workflows, Python development services can help businesses save time and resources, allowing employees to focus on more strategic initiatives.

Integration and Interoperability:

Many businesses have existing systems and technologies in place. Python's seamless integration capabilities allow it to work in harmony with various platforms and technologies. This interoperability simplifies the process of integrating Python solutions into existing infrastructures, preventing disruptions and reducing implementation complexities.

Security and Reliability:

Python's strong security features and active community support contribute to its reliability as a programming language. Businesses can rely on Python development services to build secure applications that protect sensitive data and guard against potential cyber threats.

Conclusion:

Python's rising popularity in the business world is a testament to its transformative power. From enhancing development speed and reducing costs to enabling data-driven decisions and automating processes, Python development services have revolutionized the way businesses operate. Embracing Python empowers enterprises to stay ahead in an ever-changing technological landscape and achieve sustainable growth in the digital era. Whether you're a startup or an established corporation, harnessing the potential of Python can unlock a world of possibilities and take your business to new heights.

[erp-business-development]

ERP for Remote Work: Empowering Distributed Teams with Seamless Collaboration

The global shift toward remote work has transformed the way businesses operate, making efficient collaboration tools more critical than ever. Enterprise Resource Planning (ERP) systems have emerged as a vital solution to support distributed teams, offering centralized access to real-time data and streamlined processes. With the right ERP system, businesses can maintain productivity, enhance communication, and ensure that teams, regardless of location, work together seamlessly. By leveraging modern ERP solutions, companies can navigate the complexities of remote work while boosting efficiency and performance. 

The Role of ERP in Remote Work 

ERP systems are designed to integrate and automate essential business processes across various departments. In a remote work environment, they bridge the gap between distributed teams by providing a unified platform for collaboration. These systems enable employees to access critical data, track project progress, and manage tasks in real-time, ensuring that everyone stays aligned with organizational goals. The best ERP software development company in India offers advanced ERP solutions tailored to meet the unique needs of businesses operating remotely, ensuring smooth and efficient operations. 

Key Benefits of ERP for Remote Teams 

Centralized Data Access: ERP systems provide a single source of truth, allowing remote teams to access accurate and up-to-date information. This eliminates miscommunication and ensures informed decision-making. 

Enhanced Collaboration: By integrating tools for communication, file sharing, and project management, ERP systems enable seamless collaboration across departments and locations. 

Improved Productivity: Automated workflows reduce manual tasks and streamline operations, allowing employees to focus on strategic activities that drive growth. 

Real-Time Reporting: ERP systems generate detailed reports, offering insights into business performance and helping remote teams monitor progress and address challenges promptly. 

Scalability and Flexibility: Cloud-based ERP solutions ensure that businesses can scale their operations as needed, adapting to changing market demands and workforce dynamics. 

Mumbai, a bustling hub of business innovation, has seen a surge in demand for ERP solutions tailored to remote work environments. Affordable ERP software providers in Mumbai cater to small and medium-sized enterprises (SMEs) by offering cost-effective, scalable solutions that don’t compromise on functionality. These providers ensure seamless integration of ERP systems with existing tools, enabling businesses to manage remote teams efficiently and stay competitive. 

AI-Powered ERP Software Development in Mumbai 

The integration of artificial intelligence (AI) in ERP systems has revolutionized remote work by enhancing automation, predictive analytics, and decision-making capabilities. AI-powered ERP software development in Mumbai offers businesses cutting-edge solutions to optimize operations and improve collaboration among distributed teams. AI-driven features, such as intelligent chatbots and automated data analysis, empower remote workers to resolve issues quickly and focus on high-value tasks. By adopting AI-powered ERP systems, businesses can unlock new levels of efficiency and innovation. 

Conclusion 

ERP systems are indispensable for businesses navigating the challenges of remote work. They enable distributed teams to collaborate effectively, access real-time data, and maintain operational continuity. For companies in Mumbai and across India, partnering with the best ERP software development company in India, along with affordable ERP software providers in Mumbai, ensures access to customized, AI-powered solutions that drive success. Embrace the future of work with robust ERP systems and empower your remote teams to achieve seamless collaboration and sustained growth. 

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Codeless Testing Market Set to Surge, Projected to Reach USD 8.6 Billion by 2033

The codeless testing market is expected to reach a worth of US$ 2 billion by 2023, demonstrating a tremendous trajectory of growth. According to a recent analysis by top industry analysts, the market is expected to grow significantly and reach a projected value of US$ 8.6 billion by 2033.

The integration of machine learning (ML), machine learning as a service (MLaaS), and artificial intelligence (AI) in the testing arena are anticipated to be major drivers of this extraordinary expansion. From 2023 to 2033, the Codeless Testing Market is expected to grow at an impressive 15.6% Compound Annual Growth Rate (CAGR).

Key Takeaways:

The Codeless Testing Market is set to witness substantial growth, reaching a projected value of US$ 8.6 billion by 2033, driven by the integration of AI and ML.

AI and ML technologies are revolutionizing software testing, optimizing the testing lifecycle and boosting ROI for software testing companies.

North America and Asia-Pacific are prominent regions for market growth, with the potential for emerging regions to follow suit.

Security concerns and the need for skilled professionals remain key challenges for the market’s progress.

Drivers and Opportunities: The introduction of AI and ML has brought about a paradigm shift in the field of codeless testing. These cutting-edge technologies are being harnessed across various testing aspects, encompassing codeless automation testing, performance assessment, regression testing, and functional testing. The adoption of AI in software testing has gained immense traction in recent years, primarily due to its ability to streamline the testing lifecycle and enhance the return on investment (ROI) for software testing companies.

Competitive Landscape – Regional Trends: The competitive landscape of the Codeless Testing Market is marked by robust regional trends. As businesses worldwide increasingly recognize the advantages of codeless testing, several regions are emerging as hotspots for market growth. North America, with its strong presence of technology giants and early adoption of AI-driven testing solutions, is expected to maintain its dominant position. Meanwhile, Asia-Pacific is rapidly catching up, driven by a burgeoning IT sector and a surge in demand for efficient testing solutions.

Restraints: Despite its promising growth, the Codeless Testing Market faces some challenges. Security concerns and the need for skilled professionals to effectively implement AI and ML-based testing solutions pose potential hurdles. Additionally, the market may encounter resistance from traditional testing approaches in some industries.

Region-wise Insights – Category-wise Insights: Detailed region-wise and category-wise insights are available in the comprehensive report, providing a deeper understanding of the market dynamics. The report offers in-depth analysis, including the market’s performance in North America, Europe, Asia-Pacific, and other regions, along with insights into different testing categories, such as performance testing, regression testing, and functional testing.

Key Segments profiled in the Codeless Testing Market Report

By Solution:

Codeless Testing Tools

Services

Testing & OA Services

Consulting Services

Integration & Implementation

Support & Maintenance

By Application:

API Testing

Mobile App

Desktop App

Web App

By Enterprise Size:

Small and Medium Enterprises (SMEs)

Large Enterprises

By Industry:

IT & Telecom

BFSI

Retail

Healthcare

Government

Education

Manufacturing

Travel & Hospitality

Media & Entertainment

Others

By Region:

North America

Latin America

Europe

East Asia

South Asia

Oceania

Middle East & Africa

About Future Market Insights (FMI)

Future Market Insights, Inc. (ESOMAR certified, recipient of the Stevie Award, and a member of the Greater New York Chamber of Commerce) offers profound insights into the driving factors that are boosting demand in the market. FMI stands as the leading global provider of market intelligence, advisory services, consulting, and events for the Packaging, Food and Beverage, Consumer Technology, Healthcare, Industrial, and Chemicals markets. With a vast team of over 400 analysts worldwide, FMI provides global, regional, and local expertise on diverse domains and industry trends across more than 110 countries. Join us as we commemorate 10 years of delivering trusted market insights. Reflecting on a decade of achievements, we continue to lead with integrity, innovation, and expertise.

Contact Us:      

Future Market Insights Inc. Christiana Corporate, 200 Continental Drive, Suite 401, Newark, Delaware – 19713, USA T: +1-845-579-5705 For Sales Enquiries: sales@futuremarketinsights.com Website: https://www.futuremarketinsights.com LinkedIn| Twitter| Blogs | YouTube

[global-research-report]

The Future of Decision-Making: Trends in the Advanced Analytics Market

The global advanced analytics market size is expected to reach USD 305.42 billion in 2030 and is projected to grow at a CAGR of 26.4% from 2025 to 2030. The market growth can be attributed to the increasing demand for advanced analytical solutions by companies across the retail, IT & telecom, and BFSI sectors, among others. These solutions help to process large volumes of data and determine fraudulent activities, thus ensuring data protection. For instance, IBM Cloud Pak for Security enables companies to identify hidden threats and make informed risk-based decisions.

Industries such as manufacturing, automotive, and pharmaceuticals are rapidly adopting artificial intelligence, machine learning, and big data to optimize their business processes. These technologies enable manufacturers to improve their production process, increase supply chain efficiency, and identify variables affecting the production quality, which bodes well for market growth. Moreover, as the demand for predictive solutions is growing, key players such as SAS Institute, Inc. and International Business Machines Corp. are introducing cutting-edge solutions that can be offered on cloud.

Advanced analytical solutions are emerging as an essential tool for predicting and forecasting trading patterns, electricity consumption patterns, and rush-hour traffic conditions. As such, many government agencies are making significant investments in these solutions. For instance, the Australian Institute of Health and Welfare uses predictive analysis to access large datasets, such as national hospitals’ databases. The agency uses a projection model to forecast Australian healthcare expenditure by combining various factors, such as population growth, the volume of service per treated case, and excess health price inflation.

Advanced Analytics Market Report Highlights

The cloud segment accounted for the largest market share of over 62% in 2024, owing to increasing data connectivity through hybrid and multi-cloud environments and the growing trend of digitalization.

The big data analytics segment accounted for the largest market share of over 32% in 2024, owing to the growing adoption of IIoT and AI by various organizations to efficiently analyze information and make timely decisions.

The small & medium enterprise (SME) segment is expected to grow at a significant rate during the forecast period. Owing to funding provided by several governments to SMEs to encourage the adoption of advanced analytical solutions such as SaaS.

The BFSI end use segment accounted for the largest market share in 2024, owing to its heavy reliance on data for risk management, fraud detection, and customer insights.

The advanced analytics market in the Asia Pacific is growing significantly at a CAGR of over 27% from 2025 to 2030. The Asia Pacific advanced analytics market is growing rapidly due to increasing digitalization across industries and the rise of e-commerce and fintech sectors.

Advanced Analytics Market Segmentation

Grand View Research has segmented the global Advanced Analytics market on the basis of application and region:

Advanced Analytics Type Outlook (Revenue, USD Billion, 2018 - 2030)

Big Data Analytics

Business Analytics

Customer Analytics

Risk Analytics

Statistical Analysis

Others

Advanced Analytics Deployment Outlook (Revenue, USD Billion, 2018 - 2030)

On-premise

Cloud

Advanced Analytics Enterprise Size Outlook (Revenue, USD Billion, 2018 - 2030)

Large Enterprises

Small and Medium Enterprises (SMEs)

Advanced Analytics End Use Outlook (Revenue, USD Billion, 2018 - 2030)

BFSI

Government

Healthcare

Military & Defense

IT & Telecom

Others

Advanced Analytics Regional Outlook (Revenue, USD Billion, 2018 - 2030)

North America

US

Canada

Mexico

Europe

Germany

UK

France

Asia Pacific

China

India

Japan

South Korea

Australia

Latin America

Brazil

Middle East & Africa

A.E

Saudi Arabia

South Africa

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

[govindtbrc]

Intralogistics Automated Handling Machines Market: Optimizing Supply Chain Efficiency up to 2033

Market Definition

The Intralogistics Automated Handling Machines Market involves technologies and equipment designed to optimize the internal flow of goods, materials, and information within warehouses, distribution centers, and manufacturing facilities. These systems include automated guided vehicles (AGVs), robotic arms, automated storage and retrieval systems (ASRS), and conveyors, which streamline operations by reducing manual intervention and increasing efficiency.

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The Intralogistics Automated Handling Machines market is poised to expand from $12.5 billion in 2023 to $28.4 billion by 2033, with a CAGR of 8.5%.

Market Outlook

The Intralogistics Automated Handling Machines Market is experiencing robust growth driven by the surge in e-commerce, the need for efficient supply chain management, and the adoption of Industry 4.0 technologies. The increasing demand for fast, accurate, and cost-effective handling of goods across industries such as retail, automotive, and food & beverages is propelling market expansion.

Automation solutions are crucial in addressing challenges such as labor shortages, rising operational costs, and the growing complexity of supply chains. By integrating robotics, IoT, and artificial intelligence, these machines enhance productivity, ensure safety, and provide real-time insights into operations.

The e-commerce sector, in particular, has become a significant driver for the market as businesses prioritize rapid order fulfillment and error-free delivery. Automated solutions such as pick-and-place robots and autonomous mobile robots (AMRs) are being widely adopted to meet these demands.

Regionally, developed economies in North America and Europe dominate the market due to their advanced technological infrastructure and high labor costs. However, Asia-Pacific is emerging as a lucrative region, fueled by the rapid expansion of manufacturing industries and the increasing penetration of e-commerce in countries like China, India, and Japan.

Despite its promising growth, the market faces challenges, including the high initial investment required for automation solutions and the complexity of integrating these systems into existing workflows. Additionally, small and medium enterprises (SMEs) may find it challenging to adopt such technologies due to budget constraints.

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The Driver and Staff Management Software Market is projected to grow from USD 2765 million in 2024 to an estimated USD 6464.47 million by 2032, with a compound annual growth rate (CAGR) of 11.2% from 2024 to 2032.The Driver and Staff Management Software Market is evolving rapidly as businesses across industries recognize the value of efficient workforce management. This market includes software solutions designed to streamline operations, enhance productivity, and improve compliance for organizations managing drivers and staff. With the rise of digital transformation and automation, the market is witnessing significant growth, fueled by advancements in technology and the increasing complexity of workforce management.

Browse the full report https://www.credenceresearch.com/report/driver-and-staff-management-software-market

Market Overview

Driver and staff management software is a subset of workforce management solutions that cater to logistics, transportation, delivery services, and other sectors. These tools provide functionalities such as route optimization, time tracking, payroll management, compliance monitoring, and performance analytics. The global market for such software is projected to grow at a compound annual growth rate (CAGR) of over 10% in the next five years, driven by the need for operational efficiency and cost reduction.

Key Market Drivers

Digital Transformation in Logistics and Transportation Companies in logistics and transportation are adopting software to manage their fleets and workforce more efficiently. Real-time data integration and advanced analytics enable managers to monitor operations, minimize downtime, and ensure timely deliveries.

Compliance with Regulatory Standards Governments worldwide have implemented strict regulations regarding working hours, vehicle maintenance, and safety standards. Management software helps organizations comply with these regulations by automating record-keeping and monitoring driver performance.

Cost Optimization By automating routine tasks and optimizing resource allocation, organizations can reduce overhead costs. Features like route planning and predictive maintenance help save fuel and reduce vehicle wear and tear.

Growing Demand for Automation Automation reduces human error and improves accuracy in tasks such as scheduling, payroll processing, and compliance tracking. As businesses strive for more efficient operations, the adoption of such technologies is on the rise.

Market Challenges

Despite its growth potential, the Driver and Staff Management Software Market faces several challenges:

High Initial Investment Small and medium-sized enterprises (SMEs) often find it challenging to invest in advanced software solutions due to high upfront costs and the need for infrastructure upgrades.

Resistance to Change Many organizations are hesitant to transition from traditional methods to digital solutions. The lack of technical expertise and fear of job redundancy further hinder adoption.

Data Privacy and Security Concerns With the increasing use of cloud-based solutions, concerns about data breaches and unauthorized access remain significant. Ensuring robust cybersecurity measures is crucial for market growth.

Integration Issues Businesses using legacy systems may face challenges in integrating new software solutions. This can lead to inefficiencies and additional costs.

Emerging Trends

AI and Machine Learning Integration Artificial Intelligence (AI) and Machine Learning (ML) are transforming the way driver and staff management software operates. Predictive analytics, AI-driven decision-making, and automated processes are becoming standard features.

Cloud-Based Solutions Cloud technology enables remote access, scalability, and cost-effectiveness. Many vendors are shifting to cloud-based platforms to cater to a geographically dispersed workforce.

Mobile Applications The growing use of smartphones among drivers and staff has led to the development of mobile apps that provide real-time updates, task assignments, and performance feedback.

Focus on Employee Well-Being Modern solutions are incorporating features to monitor driver fatigue and stress levels, ensuring employee health and safety.

Future Outlook

The Driver and Staff Management Software Market is poised for significant growth as businesses increasingly prioritize efficiency, compliance, and employee satisfaction. As technology continues to evolve, software solutions will become more intuitive, affordable, and accessible, enabling widespread adoption across industries.

Key Player Analysis:

Chevin Fleet Solutions

The Descartes Systems Group Inc

Tread

TruckLogics.com

Veho Genie Ltd.

Verizon

Segmentation:

By Solution:

Driver and Staff Management Software

Cloud-Based

On-Premises

Service

Professional Service

Consulting Services

Training and Education Services

Support and Maintenance Services

Managed Service

By Applications:

Training Management

Route Optimization

Mobile Application

Others

By Region:

North America

US

Canada

Mexico

Europe

Germany

France

UK.

Italy

Spain

Rest of Europe

Asia Pacific

China

Japan

India

South Korea

South-east Asia

Rest of Asia Pacific

Latin America

Brazil

Argentina

Rest of Latin America

Middle East & Africa

GCC Countries

South Africa

Rest of Middle East and Africa

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Global Multimodal AI Market Forecast: Growth Trends and Projections (2024–2034)

Global Multimodal AI Market: Growth, Trends, and Forecasts for 2024-2034

The Global Multimodal AI Market is witnessing explosive growth, driven by advancements in artificial intelligence (AI) technologies and the increasing demand for systems capable of processing and interpreting diverse data types.

The Multimodal AI market is projected to grow at a compound annual growth rate (CAGR) of 35.8% from 2024 to 2034, reaching an estimated value of USD 8,976.43 million by 2034. In 2024, the market size is expected to be USD 1,442.69 million, signaling a promising future for this cutting-edge technology. In this blog, we will explore the key components, data modalities, industry applications, and regional trends that are shaping the growth of the Multimodal AI market.

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Key Components of the Multimodal AI Market

Software: The software segment of the multimodal AI market includes tools, platforms, and applications that enable the integration of different data types and processing techniques. This software can handle complex tasks like natural language processing (NLP), image recognition, and speech synthesis. As AI software continues to evolve, it is becoming more accessible to organizations across various industries.

Services: The services segment encompasses consulting, system integration, and maintenance services. These services help businesses deploy and optimize multimodal AI solutions. As organizations seek to leverage AI capabilities for competitive advantage, the demand for expert services in AI implementation and support is growing rapidly.

Multimodal AI Market by Data Modality

Image Data: The ability to process and understand image data is critical for sectors such as healthcare (medical imaging), retail (visual search), and automotive (autonomous vehicles). The integration of image data into multimodal AI systems is expected to drive significant market growth in the coming years.

Text Data: Text data is one of the most common data types used in AI systems, especially in applications involving natural language processing (NLP). Multimodal AI systems that combine text data with other modalities, such as speech or image data, are enabling advanced search engines, chatbots, and automated content generation tools.

Speech & Voice Data: The ability to process speech and voice data is a critical component of many AI applications, including virtual assistants, customer service bots, and voice-controlled devices. Multimodal AI systems that combine voice recognition with other modalities can create more accurate and interactive experiences.

Multimodal AI Market by Enterprise Size

Large Enterprises: Large enterprises are increasingly adopting multimodal AI technologies to streamline operations, improve customer interactions, and enhance decision-making. These companies often have the resources to invest in advanced AI systems and are well-positioned to leverage the benefits of integrating multiple data types into their processes.

Small and Medium Enterprises (SMEs): SMEs are gradually adopting multimodal AI as well, driven by the affordability of AI tools and the increasing availability of AI-as-a-service platforms. SMEs are using AI to enhance their customer service, optimize marketing strategies, and gain insights from diverse data sources without the need for extensive infrastructure.

Key Applications of Multimodal AI

Media & Entertainment: In the media and entertainment industry, multimodal AI is revolutionizing content creation, recommendation engines, and personalized marketing. AI systems that can process text, images, and video simultaneously allow for better content discovery, while AI-driven video editing tools are streamlining production processes.

Banking, Financial Services, and Insurance (BFSI): The BFSI sector is increasingly utilizing multimodal AI to improve customer service, detect fraud, and streamline operations. AI-powered chatbots, fraud detection systems, and risk management tools that combine speech, text, and image data are becoming integral to financial institutions’ strategies.

Automotive & Transportation: Autonomous vehicles are perhaps the most high-profile application of multimodal AI. These vehicles combine data from cameras, sensors, radar, and voice commands to make real-time driving decisions. Multimodal AI systems are also improving logistics and fleet management by optimizing routes and analyzing traffic patterns.

Gaming: The gaming industry is benefiting from multimodal AI in areas like player behavior prediction, personalized content recommendations, and interactive experiences. AI systems are enhancing immersive gameplay by combining visual, auditory, and textual data to create more realistic and engaging environments.

Regional Insights

North America: North America is a dominant player in the multimodal AI market, particularly in the U.S., which leads in AI research and innovation. The demand for multimodal AI is growing across industries such as healthcare, automotive, and IT, with major companies and startups investing heavily in AI technologies.

Europe: Europe is also seeing significant growth in the adoption of multimodal AI, driven by its strong automotive, healthcare, and financial sectors. The region is focused on ethical AI development and regulations, which is shaping how AI technologies are deployed.

Asia-Pacific: Asia-Pacific is expected to experience the highest growth rate in the multimodal AI market, fueled by rapid technological advancements in countries like China, Japan, and South Korea. The region’s strong focus on AI research and development, coupled with growing demand from industries such as automotive and gaming, is propelling market expansion.

Key Drivers of the Multimodal AI Market

Technological Advancements: Ongoing innovations in AI algorithms and hardware are enabling more efficient processing of multimodal data, driving the adoption of multimodal AI solutions across various sectors.

Demand for Automation: Companies are increasingly looking to automate processes, enhance customer experiences, and gain insights from diverse data sources, fueling demand for multimodal AI technologies.

Personalization and Customer Experience: Multimodal AI is enabling highly personalized experiences, particularly in media, healthcare, and retail. By analyzing multiple types of data, businesses can tailor products and services to individual preferences.

Conclusion

The Global Multimodal AI Market is set for Tremendous growth in the coming decade, with applications spanning industries like healthcare, automotive, entertainment, and finance. As AI technology continues to evolve, multimodal AI systems will become increasingly vital for businesses aiming to harness the full potential of data and automation. With a projected CAGR of 35.8%, the market will see a sharp rise in adoption, driven by advancements in AI software and services, as well as the growing demand for smarter, more efficient solutions across various sectors.

[industrynewsupdates]

A Deep Dive into the Managed Security Services Market: Insights and Analysis

The global managed security services market size is expected to reach USD 87.5 billion by 2030, growing at a CAGR of 15.4% from 2023 to 2030, according to a recent report from Grand View Research, Inc. Factors such as the growing demand for outsourcing services across various BFSI, healthcare, manufacturing, IT & telecommunication industries, and the enterprises focus on their key competencies are expected to drive the market’s growth.

Businesses rely on managed security service providers (MSPs) to avoid the costly burden of maintaining their IT infrastructure and keep pace with constant technological dimensions. By leveraging standardized products, reducing time to market, and improving service quality, managed service providers helps an organization in saving costs.

MSPs have created a vast space in business operations by providing advanced cybersecurity tools to predict and mitigate cyber threats. Additionally, as emerging technologies like artificial intelligence, DevOps, and machine learning gain maturity, organizations are expected to look forward to specialized MSPs to stay at the forefront of innovation. A Managed Security Service Provider (MSSP) offers various sub-functions that cover the overall security needs of an enterprise.

The major sub-segments of MSSs have managed endpoint security that monitors all endpoints across the enterprise and intrusion prevention detection system (IPS) that regularly monitors the network for signs of forced intrusion. Extended Detection, and Response (XDR), gathers security details across endpoints and threat intelligence-related visibility to help detect future attacks provide.

Gather more insights about the market drivers, restrains and growth of the Managed Security Services Market

Managed Security Services Market Report Highlights

• The cloud security segment is anticipated to observe a CAGR of 18.5% during the forecast period. The massive growth of cloud 3.0, Industry 4.0, and digitalization has resulted in the surge of managed cloud security services. Cloud security facilitates 24/7 system protection without any human intervention, real-time alerts, and proactive managed services

• The managed DDoS segment is anticipated to observe a CAGR of 18.7% during the forecast period. The DDoS services enhance operational services that depend on the web is projected to rise owing to the growing demand among enterprises to manage the complexity of resources

• Small and medium-sized enterprises (SMEs) are anticipated to observe a CAGR of 18.1% during the forecast period. An increased zero trust security among small and medium-sized businesses (SMEs) surged the adoption of secured management solutions, owing to the growing importance of managed services

• The manufacturing segment is anticipated to observe a CAGR of 16.4% during the forecast period The growing demand among manufacturers to adopt managed security services for cyber safety and vendors’ data accessibility is fueling the demand for the market

• Asia Pacific is expected to grow at the fastest CAGR of 18.2% from 2023 to 2030, owing to the increasing adoption of managed security services and the growing digitalization of businesses in the region. Countries such as China, India, Japan, and South Korea have implemented privacy legislation and data protection that force enterprises to build robust security management solutions

Managed Security Services Market Segmentation

Grand View Research has segmented the global managed security services market based on security, services, enterprise size, vertical, and region:

Managed Security Services Security Outlook (Revenue, USD Billion, 2018 - 2030)

• Cloud Security

• Endpoint Security

• Network Security

• Data Security

• Others

Managed Security Services Outlook (Revenue, USD Billion, 2018 - 2030)

• Managed SIEM

• Managed UTM

• Managed DDoS

• Managed XDR

• Managed IAM

• Managed Risk & Compliance

• Others

Managed Security Services Enterprise Size Outlook (Revenue, USD Billion, 2018 - 2030)

• Small and medium-sized enterprises

• Large enterprises

Managed Security Services Vertical Outlook (Revenue, USD Billion, 2018 - 2030)

• BFSI

• Healthcare

• Manufacturing

• IT and Telecom

• Retail

• Defense/Government

• Others

Managed Security Services Regional Outlook (Revenue, USD Billion, 2018 - 2030)

• North America

o U.S.

o Canada

• Europe

o UK

o Germany

o France

o Italy

o Spain

• Asia Pacific

o China

o India

o Japan

o Australia

o South Korea

• Latin America

o Brazil

o Mexico

o Argentina

• Middle East and Africa

o UAE

o Saudi Arabia

o South Africa

Order a free sample PDF of the Managed Security Services Market Intelligence Study, published by Grand View Research.

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Adaptive Robotics Market

Adaptive Robotics Market Size, Share, Trends: ABB Ltd. Leads

Integration of AI and Machine Learning Enhances Adaptive Capabilities of Robots

Market Overview:

The global Adaptive Robotics Market is projected to grow at a CAGR of 22.5% during the forecast period of 2024-2031. The market value is expected to rise from USD XX billion in 2024 to USD YY billion by 2031. North America currently dominates the market, accounting for the largest share of global revenue. Key metrics include increasing adoption in manufacturing sectors, growing demand for automation in healthcare, and rising investments in robotics research and development. Advances in artificial intelligence, machine learning, and sensor technology are driving the rapid growth of the adaptive robotics market. The market is driven by an increase in demand for flexible and intelligent robotic systems that can adapt to changing environments and work with humans. The emphasis on Industry 4.0 and smart manufacturing is driving market growth. 

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Market Trends:

The integration of artificial intelligence (AI) and machine learning (ML) is revolutionizing the field of adaptive robotics. These technologies enable robots to learn from their previous experiences, adapt to new environments, and make autonomous decisions. The trend is driven by the rising demand for robots that can efficiently operate in unstructured environments and handle complex tasks. AI-powered adaptive robots are being utilized in various sectors, including manufacturing and healthcare, to enhance efficiency and safety. According to industry forecasts, the application of AI in robotics is expected to grow by 30% annually over the next five years, significantly enhancing the adaptive capabilities of robotic systems.

Market Segmentation:

Collaborative Robotics dominates the type segment, accounting for the largest market share. Collaborative robots continue to lead the adaptive robotics market due to their flexibility, safety features, and capability to work alongside humans. These robots are equipped with advanced sensors and control systems that allow them to adapt to their surroundings and interact safely with humans, making them suitable for a wide range of industrial applications. The growing demand for flexible automation solutions in manufacturing and logistics reinforces the leading position of collaborative robots. Recent advancements in force-sensing technologies and easy programming interfaces have made collaborative robots more affordable and easier to implement, especially for small and medium-sized businesses.

Collaborative robots have gained significant traction in the automotive and electronics industries. For instance, a major automotive manufacturer recently reported a 25% increase in production efficiency after integrating collaborative robots into their assembly lines. This achievement has driven industry acceptance, with analysts projecting a 35% year-over-year increase in collaborative robot installations in just the automotive sector.

Market Key Players:

ABB Ltd.

KUKA AG

Fanuc Corporation

Yaskawa Electric Corporation

Kawasaki Heavy Industries, Ltd.

Universal Robots A/S

Contact Us:

Name: Hari Krishna

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Patch Management Market

Patch Management Market Size, Share, Trends: Microsoft Corporation Leads

Adoption of Artificial Intelligence and Machine Learning in Patch Management drives market efficiency and security.

Market Overview: 

The global Patch Management Market is projected to grow at a CAGR of 9.8% from 2024 to 2031. The market value is expected to increase significantly during this period. North America currently dominates the market, driven by the presence of major technology companies, stringent cybersecurity regulations, and high adoption of advanced IT infrastructure. Key metrics include increasing cyber threats, rising adoption of cloud-based patch management solutions, and growing awareness of the importance of cybersecurity among enterprises. The Patch Management market is expanding rapidly due to an increasing number of cybersecurity threats, the complexity of IT environments, and the growing requirement for compliance with data protection regulations. The move to remote work and the development of connected devices are key drivers driving market growth.

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Market Trends: 

The Patch Management market is seeing a substantial increase in the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies. These advanced technologies are being used to automate and optimise patch management processes, allowing organisations to predict vulnerabilities, prioritise updates, and simplify distribution. AI-powered patch management solutions can analyse massive volumes of data to discover trends and abnormalities, allowing potential security issues to be detected before they are exploited. This trend stems from the necessity for more efficient and proactive cybersecurity measures in the face of more sophisticated cyber threats. According to recent industry projections, the use of AI in cybersecurity solutions is predicted to increase at a CAGR of more than 23% between 2024 and 2031, indicating significant prospects for patch management solution providers to incorporate these technologies.

Market Segmentation: 

Cloud-Based Deployment dominates the Patch Management market due to its ability to provide real-time updates, centralised management, and lower infrastructure costs. This segment is widely adopted across industries, particularly among small and medium-sized organisations (SMEs) seeking cost-effective cybersecurity solutions.

Cloud-based patch management has recently seen the introduction of advanced functionality such as automated patch prioritisation and compliance reporting. For example, a top cybersecurity business recently released a cloud-based patch management solution that includes AI-driven vulnerability assessment capabilities, allowing organisations to prioritise patches based on risk levels and potential effect.

Cloud-based patch management systems are gaining popularity in the workplace because of their ability to easily manage regionally dispersed IT assets. The global cloud computing market, which was valued at $YY billion in 2020, is expected to grow to $YY billion by 2031, creating significant opportunities for cloud-based patch management solutions in applications such as remote workforce security and multi-cloud environment management.

Market Key Players:

Microsoft Corporation

IBM Corporation

Symantec Corporation (now part of Broadcom Inc.)

Qualys, Inc.

SolarWinds Worldwide, LLC

Ivanti, Inc.

Contact Us:

Name: Hari Krishna

Email us: hari.krishna@aurorawaveintellects.com

Website: https://aurorawaveintellects.com/

[suryakantd]

Public Cloud in BFSI Market 2025-2037 | Size, Growth, Industry Trends and Report

Research Nester assesses the growth and market size of the global public cloud in BFSI market which is anticipated to be on account of the growing use of smartphones.

Research Nester’s recent market research analysis on “Public Cloud in BFSI Market: Global Demand Analysis & Opportunity Outlook 2037” delivers a detailed competitor’s analysis and a detailed overview of the global public cloud in BFSI market in terms of market segmentation by type, component, enterprise size, end use, and by region.

Rapid Shift Towards Cloud-based Services to Promote Global Market Share of Public Cloud in BFSI

 The global public cloud in BFSI market is estimated to grow majorly due to the growing adoption of cloud-based services in banks. Services enabled by the cloud modify governance frameworks, technological infrastructure, product offerings, and operational procedures to help banks expand. It helps with the scaling up of services by offering several benefits such as storage, processing power, the capacity to work across a broad range of applications, and contextualized solutions based on the needs of the company employing cloud services.

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The execution of complex analytics and the gathering of insights from disparate, enormous data sets are made possible by the integration of machine learning and artificial intelligence capabilities. 72% of finance departments now employ AI, according to Business Journalism research, and 49% of these executives emphasized the importance of upskilling their financial team. The cloud transformation road includes technological improvements, process automation, organizational reform, and product innovation.

Some of the major growth factors and challenges that are associated with the growth of the global public cloud in BFSI market are:

Growth Drivers:

Growing support from the government

Cost-effectiveness

Challenges:

Public cloud adoption in the BFSI industry is hindered by the deployment of various third-party services that are a component of cloud computing and may give rise to security or confidentiality concerns. Mobility, networks, endpoints, databases, cloud computing, online applications, and virtualization are among the other infrastructures that are addressed.

By enterprise size, the global public cloud in BFSI market is segmented into small and medium enterprises and large enterprises. The small and medium enterprises segment is poised to garner the highest revenue by the end of 2037 by growing at a significant CAGR over the forecast period.  Large firms have embraced the program with the most fervor because of its benefits, which include reduced operating costs, more teamwork, greater flexibility, and a faster time to market. Businesses are using the cloud to update crucial business apps and processes, even though they have previously utilized it for infrastructure transfer and application development. Because of the communication service providers' flexible price structures, higher staff efficiency, and enhanced teamwork and innovation, the SME segment has had the largest share of the market since 2019.

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By region, the Europe public cloud in BFSI market is to generate the highest revenue by the end of 2036. The market is growing in countries with pro-business laws and significant investments in digital technology, but it is growing more slowly in areas with restrictive regulations and little funding. In addition, the demand for public cloud services in Europe is being driven by the growing trend of remote work and the growing use of cloud-based solutions by enterprises of all kinds. As the area continues to recover from the COVID-19 pandemic's economic effects, this tendency is anticipated to continue.

This report also provides the existing competitive scenario of some of the key players that includes Lumen Technologies, Inc. DXC Technology Company, Intel Corporation, Dell EMC, Panzura, Inc., VMware LLC, Equinix, Inc., Rackspace Technology, Inc., Citrix Systems, Inc., Cisco Systems Inc., and others.

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About Research Nester-

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 in order to avoid future uncertainties.

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Email: info@researchnester.com

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Enterprise Asset Management Market: Global Demand Analysis & Opportunity

Research Nester assesses the growth and market size of the global enterprise asset management market, which is anticipated to be due to the rising adoption of digital technologies. Research Nester’s recent market research analysis on “Enterprise Asset Management Market: Global Demand Analysis & Opportunity Outlook 2037” delivers a detailed competitors analysis and a detailed overview of the global enterprise asset management market in terms of market segmentation by component, application, organization, deployment, end user, and by region. Digital Technologies Such As AI and ML Effectively Transforming Enterprise Asset Management Solutions The integration of digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), and big data analytics is leading to the development of advanced enterprise asset management (EAM) solutions with enhanced real-time monitoring and predictive maintenance capabilities. The IoT devices and AI systems work together and offer end users an effective asset management method. Advanced data analytics and big data aid organizations in gaining actionable insights from asset performance data. This further also helps in optimizing asset utilization, reducing downtime, and improving the decision-making process. These capabilities are driving the enterprise asset management solution sales growth. Growth Drivers: • Cloud-based enterprise asset management solutions gaining traction globally • Rise in remote work jobs driving the demand for modern EAM solutions Challenges The upfront cost associated with the installation of enterprise asset management solutions and implementation of services is quite high. This deters organizations especially small and medium-sized ones working on tight budgets from adopting these solutions. Also, enterprise asset management solutions can require significant customization and integration with existing systems. This complexity leads to extended implementation times, high costs, and potential disruptions to business operations, limiting their sales growth. Access our detailed report at: https://www.researchnester.com/reports/enterprise-asset-management-market/6449 By end user, the manufacturing segment is estimated to capture 30.5% of the revenue share through 2037. Manufacturing companies usually operate with a diverse array of assets including machinery, equipment, and infrastructure. EAM systems help manage this complex inventory by providing an effective and centralized platform for tracking and optimizing the performance, maintenance, and lifecycle of these assets. Based on region, North America is projected to hold a market share of 37.5% through 2037. North America has a strong presence of industries such as healthcare, manufacturing, and utilities, which need to comply with strict regulatory requirements related to asset management. Enterprise asset management solutions aid these organizations in maintaining compliance by providing accurate records and facilitating audits. Request Free Sample Copy of this Report @ https://www.researchnester.com/sample-request-6649 This report also provides the existing competitive scenario of some of the key players of the global enterprise asset management market which includes company profiling of IBM Corporation, SAP SE, Oracle Corporation, Infor, IFS AB, ABB, CGI, Rfgen Software, Assetworks, Ultimo Software Solutions, UpKeep, Asset Panda, EZOfficeInventory, Intelligent Process Solutions, KloudGin, Fracttal, InnoMaint Software, Aladinme, and Limble. Request for customization @ https://www.researchnester.com/customized-reports-6649 Contact for more Info: AJ Daniel Email: info@researchnester.com U.S. Phone: +1 646 586 9123

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Predictive Dialer Software: Revolutionizing Call Center Efficiency

In the world of call centers, time is money, and maximizing agent productivity is paramount. Predictive Dialer Software is an advanced technology that streamlines outbound calling, making it a game-changer for businesses focused on high-volume customer interactions. This blog explores what predictive dialer software is, its features, benefits, and why it's essential for modern call centers.

What is Predictive Dialer Software?

Predictive Dialer Software is an automated calling system that places calls on behalf of agents. Using algorithms, it predicts agent availability and customer answer rates, dialing multiple numbers simultaneously. The system ensures that agents are only connected to live calls, eliminating the time wasted on unanswered calls, busy signals, or disconnected lines.

Key Features of Predictive Dialer Software

Automated Dialing The software automates outbound calls, saving agents from manual dialing.

Call Filtering Filters out busy signals, voicemails, and disconnected numbers, ensuring only productive connections.

Real-Time Monitoring Supervisors can monitor calls in real-time to ensure quality and compliance.

CRM Integration Seamlessly integrates with CRM systems, allowing agents to access customer data during calls.

Scalability Designed to handle a large volume of calls, it is suitable for small, medium, and large call centers.

Compliance Tools Features like Do Not Call (DNC) list management ensure adherence to telemarketing regulations.

Benefits of Using Predictive Dialer Software

Increased Agent Productivity By automating the dialing process, agents spend more time on live calls and less time waiting.

Higher Call Volume The software enables call centers to reach more customers in less time, boosting overall efficiency.

Improved Customer Experience With CRM integration and real-time data, agents can provide personalized and informed responses.

Cost-Effective By reducing idle time and optimizing operations, predictive dialers lower operational costs.

Enhanced Reporting and Analytics Provides detailed insights into call metrics, helping businesses refine their strategies.

Compliance Assurance Built-in compliance features reduce the risk of legal issues, ensuring adherence to regulations.

Applications of Predictive Dialer Software

Telemarketing Boost sales campaigns by connecting agents to potential customers quickly.

Customer Support Enhance follow-ups and improve customer satisfaction by resolving issues efficiently.

Debt Collection Streamline collection calls with faster outreach and better management of customer data.

Surveys and Feedback Gather customer feedback and conduct surveys effectively.

Lead Generation Improve lead conversion rates by ensuring agents spend more time speaking with prospects.

Why Choose Aria Telecom for Predictive Dialer Software?

Aria Telecom is a trusted name in the communication technology industry, offering robust Predictive Dialer Software tailored to the needs of modern call centers. Here’s why Aria Telecom is a leader in this space:

Advanced Features: From CRM integration to real-time monitoring, their software comes equipped with cutting-edge tools.

User-Friendly Interface: Intuitive design ensures quick setup and ease of use for agents and supervisors.

Scalability: Suitable for businesses of all sizes, from startups to large enterprises.

Compliance Ready: Built-in tools for managing DNC lists and adhering to telemarketing laws.

Exceptional Support: A dedicated support team ensures seamless implementation and ongoing assistance.

Future of Predictive Dialer Software

With advancements in Artificial Intelligence (AI) and Machine Learning (ML), predictive dialers are becoming smarter. Future versions are expected to include voice recognition, sentiment analysis, and enhanced customer behavior prediction, further optimizing call center operations.

Conclusion

In a competitive market, maximizing efficiency and productivity is crucial for success. Predictive Dialer Software empowers call centers to achieve these goals by automating and optimizing the outbound calling process. With solutions like those offered by Aria Telecom, businesses can transform their operations, improve customer satisfaction, and achieve greater profitability.

Upgrade your call center with Aria Telecom’s Predictive Dialer Software and experience the future of outbound calling today!

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U.S. IT Services Market: Demand for Digital Transformation and Cloud Solutions

The U.S. IT services market size was valued at USD 405.7 billion in 2023 and is projected to grow at a CAGR of 7.9% from 2024 to 2030. The penetration of big data analytics, artificial intelligence, the Internet of Things (IoT), and machine learning (ML) has brought a paradigm shift in the business landscape. Besides, the surging demand for robust cybersecurity solutions amidst privacy protection concerns has encouraged stakeholders to inject funds into IT services. Incumbent companies are likely to innovate and capitalize on technology advancements and data availability.

American consumers have exhibited a notable trend for cloud-based solutions and software-as-a-service (SaaS). Businesses have sought advanced services to foster automation and streamline the supply chain. The use of business intelligence and cloud technologies has become pronounced across the U.S. Digital tools have gained ground to foster cost savings, gain insights into their operations and boost efficiency. For instance, customers have sought personalization, customization and mobility from services, prompting stakeholders to look for new ideas.

 Managed services have emerged as a vital cog to gain a competitive edge in the U.S. industry. To illustrate, the financial sector is counting on managed services to assess complex regulatory ambiance, adopt the latest security measures, leverage technology know-how and adopt a secure and scalable infrastructure. Furthermore, the manufacturing industry can cash in on managed services to minimize monotonous activities with automation and manage the soaring volume of data.

U.S. IT Services Market Report Highlights

The reactive IT services segment spearheaded the U.S. IT services market, accounting for 55.5% revenue share in 2023. 

The operations & maintenance segment is poised to witness an uptake in light of the rising footprint of AI, ML, and robotic process automation.

The application management segment is likely to grow in the wake of the need to minimize ownership costs, boost performance and reliability and enhance security. 

The AI & machine learning segment is forecast to depict a significant uptake during the assessment period. The robust outlook comes against the backdrop of automation trends reshaping the industry verticals.

The IT & telecom segment to witness a notable uptick on the back of a bullish adoption of cloud computingand other bespoke solutions. The retail segment will rise in light of the surging penetration of the e-commerce sector and the need for omnichannel retail strategies.

U.S. IT Services Market Report Segmentation

This report forecasts revenue growth at country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the U.S. IT services market based on approach, type, application, technology, deployment, enterprise size, and end-use:

Approach Outlook (Revenue, USD Billion, 2017 - 2030)

Reactive IT Services

Proactive IT Services

Type Outlook (Revenue, USD Billion, 2017 - 2030)

Design & Implementation

Operations & Maintenance

Application Outlook (Revenue, USD Billion, 2017 - 2030)

Systems & Network Management

Data Management

Application Management

Security & Compliance Management

Others

Technology Outlook (Revenue, USD Billion, 2017 - 2030)

AI & Machine Learning

Big Data Analytics

Threat Intelligence

Others

Deployment Outlook (Revenue, USD Billion, 2017 - 2030)

On-premises

Cloud

Enterprise Size Outlook (Revenue, USD Billion, 2017 - 2030)

Large Enterprise

Small & Medium Enterprise

End-use Outlook (Revenue, USD Billion, 2017 - 2030)

BFSI

Government

Healthcare

Manufacturing

Media & Communications

Retail

IT & Telecom

Others

Order a free sample PDF of the U.S. IT Services Market Intelligence Study, published by Grand View Research.