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Global Artificial Intelligence in Big Data Analytics and IoT Market Report 2022: AI in Industrial Machines will Reach $823 Million by 2027 with Collaborative Robot Growth at 41.9% CAGR
Research and Markets
7 min read
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Dublin, May 24, 2022 (GLOBE NEWSWIRE) -- The "Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2022 - 2027" report has been added to ResearchAndMarkets.com's offering.

This report evaluates various AI technologies and their use relative to analytics solutions within the rapidly growing enterprise and industrial data arena. The report assesses emerging business models, leading companies, and solutions.

The report also analyzes how different forms of AI may be best used for problem-solving. The report also evaluates the market for AI in IoT networks and systems. The report provides forecasting for unit growth and revenue for both analytics and IoT from 2022 to 2027.

The Internet of Things (IoT) in consumer, enterprise, industrial, and government market segments has very unique needs in terms of infrastructure, devices, systems, and processes. One thing they all have in common is that they each produce massive amounts of data, most of which is of the unstructured variety, requiring big data technologies for management.

Artificial Intelligence (AI) algorithms enhance the ability for big data analytics and IoT platforms to provide value to each of these market segments. The author sees three different types of IoT Data: (1) Raw (untouched and unstructured) Data, (2) Meta (data about data), and (3) Transformed (valued-added data). Artificial Intelligence (AI) will be useful in support of managing each of these data types in terms of identifying, categorizing, and decision making.

AI coupled with advanced big data analytics provides the ability to make raw data meaningful and useful as information for decision-making purposes. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks.

Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.

Select Report Findings:

  • Global market for AI in big data and IoT as a whole will reach $31.4B by 2027

  • Embedded AI in support of IoT-connected things will reach $7.2B globally by 2027

  • AI makes IoT data 28% more efficient and analytics 47% more effective for industry apps

  • Overall market for AI in big data and IoT will be led by Asia Pac followed by North America

  • AI in industrial machines will reach $823M globally by 2027 with collaborative robot growth at 41.9% CAGR

  • AI in autonomous weapon systems will reach $298M globally by 2027 with AI in military robotics growing at 41.2% CAGR

  • Machine learning will become a key AI technology to realize the full potential of big data and IoT, particularly in edge computing platforms

  • Top three segments will be: (1) Data Mining and Automation, (2) Automated Planning, Monitoring, and Scheduling, and (3) Data Storage and Customer Intelligence

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