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According to our Researcher latest study, the global AI in IoT market size was valued at USD 3918.8 million in 2023 and is forecast to a readjusted size of USD 9846.8 million by 2030 with a CAGR of 14.1% during review period.
AI applications for IoT enable companies to avoid unplanned downtime, increase operating efficiency, spawn new products and services, and enhance risk management.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/61 of that of the United States.
The Global Info Research report includes an overview of the development of the AI in IoT industry chain, the market status of Manufacturing (Platforms, Software Solutions), Energy and Utilities (Platforms, Software Solutions), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI in IoT.
Regionally, the report analyzes the AI in IoT markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI in IoT market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the AI in IoT market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI in IoT industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Platforms, Software Solutions).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI in IoT market.
Regional Analysis: The report involves examining the AI in IoT market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI in IoT market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to AI in IoT:
Company Analysis: Report covers individual AI in IoT players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI in IoT This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Manufacturing, Energy and Utilities).
Technology Analysis: Report covers specific technologies relevant to AI in IoT. It assesses the current state, advancements, and potential future developments in AI in IoT areas.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
AI in IoT market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Platforms
Software Solutions
Services
Market segment by Application
Manufacturing
Energy and Utilities
Transportation and Mobility
Banking, Financial Services, and Insurance
Government and Defense
Retail
Others
Market segment by players, this report covers
IBM
Microsoft
Google
PTC
AWS
Oracle
GE
Salesforce
SAP
Hitachi
Uptake
SAS
Autoplant Systems India Pvt. Ltd.
Kairos
Softweb Solutions
Arundo
C3 IoT
Anagog
Thingstel
Imagimob
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI in IoT product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in IoT, with revenue, gross margin and global market share of AI in IoT from 2019 to 2024.
Chapter 3, the AI in IoT competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and AI in IoT market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in IoT.
Chapter 13, to describe AI in IoT research findings and conclusion.
AI applications for IoT enable companies to avoid unplanned downtime, increase operating efficiency, spawn new products and services, and enhance risk management.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/61 of that of the United States.
The Global Info Research report includes an overview of the development of the AI in IoT industry chain, the market status of Manufacturing (Platforms, Software Solutions), Energy and Utilities (Platforms, Software Solutions), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI in IoT.
Regionally, the report analyzes the AI in IoT markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI in IoT market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the AI in IoT market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI in IoT industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Platforms, Software Solutions).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI in IoT market.
Regional Analysis: The report involves examining the AI in IoT market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI in IoT market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to AI in IoT:
Company Analysis: Report covers individual AI in IoT players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI in IoT This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Manufacturing, Energy and Utilities).
Technology Analysis: Report covers specific technologies relevant to AI in IoT. It assesses the current state, advancements, and potential future developments in AI in IoT areas.
Competitive Landscape
: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the AI in IoT market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
AI in IoT market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Platforms
Software Solutions
Services
Market segment by Application
Manufacturing
Energy and Utilities
Transportation and Mobility
Banking, Financial Services, and Insurance
Government and Defense
Retail
Others
Market segment by players, this report covers
IBM
Microsoft
PTC
AWS
Oracle
GE
Salesforce
SAP
Hitachi
Uptake
SAS
Autoplant Systems India Pvt. Ltd.
Kairos
Softweb Solutions
Arundo
C3 IoT
Anagog
Thingstel
Imagimob
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI in IoT product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in IoT, with revenue, gross margin and global market share of AI in IoT from 2019 to 2024.
Chapter 3, the AI in IoT competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and AI in IoT market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in IoT.
Chapter 13, to describe AI in IoT research findings and conclusion.
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
