Global AI in IoT Market Research Report 2026(Status and Outlook)
Description
Report Overview
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 AI in IoT market size was estimated at USD 5110.0 million in 2025 and is projected to grow at a compound annual growth rate (CAGR) of 14.70% during the forecast period.
This report offers a comprehensive and in-depth analysis of the global AI in IoT market, covering all critical facets from a broad macroeconomic overview to detailed micro-level insights. It examines market size, competitive landscape, emerging development trends, niche segments, key drivers and challenges, as well as conducts SWOT and value chain analyses.
The insights provided enable readers to understand the competitive dynamics within the industry and formulate effective strategies to enhance profitability and market positioning. Additionally, the report presents a clear framework for evaluating the current status and future outlook of business organizations operating in this sector.
A significant focus of this report lies in the competitive landscape of the global AI in IoT market. It offers detailed profiles of major players, including their market shares, performance metrics, product portfolios, and operational status. This enables stakeholders to identify leading competitors and gain a nuanced understanding of market rivalry and structure.
In summary, this report serves as an essential resource for industry participants, investors, researchers, consultants, and business strategists, as well as anyone planning to enter or expand their presence in the AI in IoT market.
Global AI in IoT Market: Market Segmentation Analysis
This research report provides a detailed segmentation of the market by region (country), key manufacturers, product type, and application. Market segmentation divides the overall market into distinct subsets based on factors such as product categories, end-user industries, geographic locations, and other relevant criteria.
A clear understanding of these market segments enables decision-makers to tailor their product development, sales, and marketing strategies more effectively to meet the unique needs of each segment. Leveraging market segmentation insights can significantly enhance targeted approaches, optimize resource allocation, and accelerate product innovation cycles by aligning offerings with the specific demands of diverse customer groups.
Key Company
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 Segmentation (by Type)
Platforms
Software Solutions
Services
Market Segmentation (by Application)
Manufacturing
Energy and Utilities
Transportation and Mobility
Banking, Financial Services, and Insurance
Government and Defense
Retail
Others
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the AI in IoT Market
Overview of the regional outlook of the AI in IoT Market:
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the AI in IoT Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 shares the main producing countries of AI in IoT, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment in the next five years.
Chapter 13 is the main points and conclusions of the report.
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
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 AI in IoT market size was estimated at USD 5110.0 million in 2025 and is projected to grow at a compound annual growth rate (CAGR) of 14.70% during the forecast period.
This report offers a comprehensive and in-depth analysis of the global AI in IoT market, covering all critical facets from a broad macroeconomic overview to detailed micro-level insights. It examines market size, competitive landscape, emerging development trends, niche segments, key drivers and challenges, as well as conducts SWOT and value chain analyses.
The insights provided enable readers to understand the competitive dynamics within the industry and formulate effective strategies to enhance profitability and market positioning. Additionally, the report presents a clear framework for evaluating the current status and future outlook of business organizations operating in this sector.
A significant focus of this report lies in the competitive landscape of the global AI in IoT market. It offers detailed profiles of major players, including their market shares, performance metrics, product portfolios, and operational status. This enables stakeholders to identify leading competitors and gain a nuanced understanding of market rivalry and structure.
In summary, this report serves as an essential resource for industry participants, investors, researchers, consultants, and business strategists, as well as anyone planning to enter or expand their presence in the AI in IoT market.
Global AI in IoT Market: Market Segmentation Analysis
This research report provides a detailed segmentation of the market by region (country), key manufacturers, product type, and application. Market segmentation divides the overall market into distinct subsets based on factors such as product categories, end-user industries, geographic locations, and other relevant criteria.
A clear understanding of these market segments enables decision-makers to tailor their product development, sales, and marketing strategies more effectively to meet the unique needs of each segment. Leveraging market segmentation insights can significantly enhance targeted approaches, optimize resource allocation, and accelerate product innovation cycles by aligning offerings with the specific demands of diverse customer groups.
Key Company
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 Segmentation (by Type)
Platforms
Software Solutions
Services
Market Segmentation (by Application)
Manufacturing
Energy and Utilities
Transportation and Mobility
Banking, Financial Services, and Insurance
Government and Defense
Retail
Others
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the AI in IoT Market
Overview of the regional outlook of the AI in IoT Market:
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the AI in IoT Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 9 shares the main producing countries of AI in IoT, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment in the next five years.
Chapter 13 is the main points and conclusions of the report.
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
Table of Contents
122 Pages
- 1 Research Methodology and Statistical Scope
- 1.1 Market Definition and Statistical Scope of AI in IoT
- 1.2 Key Market Segments
- 1.2.1 AI in IoT Segment by Type
- 1.2.2 AI in IoT Segment by Application
- 1.3 Methodology & Sources of Information
- 1.3.1 Research Methodology
- 1.3.2 Research Process
- 1.3.3 Market Breakdown and Data Triangulation
- 1.3.4 Base Year
- 1.3.5 Report Assumptions & Caveats
- 2 AI in IoT Market Overview
- 2.1 Global Market Overview
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size by Region
- 3 AI in IoT Market Competitive Landscape
- 3.1 Company Assessment Quadrant
- 3.2 Global AI in IoT Product Life Cycle
- 3.3 Global AI in IoT Revenue Market Share by Company (2020-2025)
- 3.4 AI in IoT Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
- 3.5 Headquarters, Areas Served, and Product Types of Major Players
- 3.6 AI in IoT Market Competitive Situation and Trends
- 3.6.1 AI in IoT Market Concentration Rate
- 3.6.2 Global 5 and 10 Largest AI in IoT Players Market Share by Revenue
- 3.6.3 Mergers & Acquisitions, Expansion
- 4 AI in IoT Value Chain Analysis
- 4.1 AI in IoT Value Chain Analysis
- 4.2 Midstream Market Analysis
- 4.3 Downstream Customer Analysis
- 5 The Development and Dynamics of AI in IoT Market
- 5.1 Key Development Trends
- 5.2 Driving Factors
- 5.3 Market Challenges
- 5.4 Industry News
- 5.4.1 New Product Developments
- 5.4.2 Mergers & Acquisitions
- 5.4.3 Expansions
- 5.4.4 Collaboration/Supply Contracts
- 5.5 PEST Analysis
- 5.5.1 Industry Policies Analysis
- 5.5.2 Economic Environment Analysis
- 5.5.3 Social Environment Analysis
- 5.5.4 Technological Environment Analysis
- 5.6 Global AI in IoT Market Porter's Five Forces Analysis
- 6 AI in IoT Market Segmentation by Type
- 6.1 Evaluation Matrix of Segment Market Development Potential (Type)
- 6.2 Global AI in IoT Market by Type (2020-2025)
- 6.3 Global AI in IoT Market Size Growth Rate by Type (2021-2025)
- 7 AI in IoT Market Segmentation by Application
- 7.1 Evaluation Matrix of Segment Market Development Potential (Application)
- 7.2 Global AI in IoT Market Size (M USD) by Application (2020-2025)
- 7.3 Global AI in IoT Market Size Growth Rate by Application (2021-2025)
- 8 AI in IoT Market Segmentation by Region
- 8.1 Global AI in IoT Market Size by Region
- 8.1.1 Global AI in IoT Market Size by Region
- 8.1.2 Global AI in IoT Market Size Market Share by Region
- 8.2 North America
- 8.2.1 North America AI in IoT Market Size by Country
- 8.2.2 U.S.
- 8.2.3 Canada
- 8.2.4 Mexico
- 8.3 Europe
- 8.3.1 Europe AI in IoT Market Size by Country
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 U.K.
- 8.3.5 Italy
- 8.3.6 Spain
- 8.4 Asia Pacific
- 8.4.1 Asia Pacific AI in IoT Market Size by Region
- 8.4.2 China
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 India
- 8.4.6 Southeast Asia
- 8.5 South America
- 8.5.1 South America AI in IoT Market Size by Country
- 8.5.2 Brazil
- 8.5.3 Argentina
- 8.5.4 Columbia
- 8.6 Middle East and Africa
- 8.6.1 Middle East and Africa AI in IoT Market Size by Region
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Egypt
- 8.6.5 Nigeria
- 8.6.6 South Africa
- 9 Key Companies Profile
- 9.1 IBM
- 9.1.1 IBM Basic Information
- 9.1.2 IBM AI in IoT Product Overview
- 9.1.3 IBM AI in IoT Product Market Performance
- 9.1.4 IBM SWOT Analysis
- 9.1.5 IBM Business Overview
- 9.1.6 IBM Recent Developments
- 9.2 Microsoft
- 9.2.1 Microsoft Basic Information
- 9.2.2 Microsoft AI in IoT Product Overview
- 9.2.3 Microsoft AI in IoT Product Market Performance
- 9.2.4 Microsoft SWOT Analysis
- 9.2.5 Microsoft Business Overview
- 9.2.6 Microsoft Recent Developments
- 9.3 Google
- 9.3.1 Google Basic Information
- 9.3.2 Google AI in IoT Product Overview
- 9.3.3 Google AI in IoT Product Market Performance
- 9.3.4 Google SWOT Analysis
- 9.3.5 Google Business Overview
- 9.3.6 Google Recent Developments
- 9.4 PTC
- 9.4.1 PTC Basic Information
- 9.4.2 PTC AI in IoT Product Overview
- 9.4.3 PTC AI in IoT Product Market Performance
- 9.4.4 PTC Business Overview
- 9.4.5 PTC Recent Developments
- 9.5 AWS
- 9.5.1 AWS Basic Information
- 9.5.2 AWS AI in IoT Product Overview
- 9.5.3 AWS AI in IoT Product Market Performance
- 9.5.4 AWS Business Overview
- 9.5.5 AWS Recent Developments
- 9.6 Oracle
- 9.6.1 Oracle Basic Information
- 9.6.2 Oracle AI in IoT Product Overview
- 9.6.3 Oracle AI in IoT Product Market Performance
- 9.6.4 Oracle Business Overview
- 9.6.5 Oracle Recent Developments
- 9.7 GE
- 9.7.1 GE Basic Information
- 9.7.2 GE AI in IoT Product Overview
- 9.7.3 GE AI in IoT Product Market Performance
- 9.7.4 GE Business Overview
- 9.7.5 GE Recent Developments
- 9.8 Salesforce
- 9.8.1 Salesforce Basic Information
- 9.8.2 Salesforce AI in IoT Product Overview
- 9.8.3 Salesforce AI in IoT Product Market Performance
- 9.8.4 Salesforce Business Overview
- 9.8.5 Salesforce Recent Developments
- 9.9 SAP
- 9.9.1 SAP Basic Information
- 9.9.2 SAP AI in IoT Product Overview
- 9.9.3 SAP AI in IoT Product Market Performance
- 9.9.4 SAP Business Overview
- 9.9.5 SAP Recent Developments
- 9.10 Hitachi
- 9.10.1 Hitachi Basic Information
- 9.10.2 Hitachi AI in IoT Product Overview
- 9.10.3 Hitachi AI in IoT Product Market Performance
- 9.10.4 Hitachi Business Overview
- 9.10.5 Hitachi Recent Developments
- 9.11 Uptake
- 9.11.1 Uptake Basic Information
- 9.11.2 Uptake AI in IoT Product Overview
- 9.11.3 Uptake AI in IoT Product Market Performance
- 9.11.4 Uptake Business Overview
- 9.11.5 Uptake Recent Developments
- 9.12 SAS
- 9.12.1 SAS Basic Information
- 9.12.2 SAS AI in IoT Product Overview
- 9.12.3 SAS AI in IoT Product Market Performance
- 9.12.4 SAS Business Overview
- 9.12.5 SAS Recent Developments
- 9.13 Autoplant Systems India Pvt. Ltd.
- 9.13.1 Autoplant Systems India Pvt. Ltd. Basic Information
- 9.13.2 Autoplant Systems India Pvt. Ltd. AI in IoT Product Overview
- 9.13.3 Autoplant Systems India Pvt. Ltd. AI in IoT Product Market Performance
- 9.13.4 Autoplant Systems India Pvt. Ltd. Business Overview
- 9.13.5 Autoplant Systems India Pvt. Ltd. Recent Developments
- 9.14 Kairos
- 9.14.1 Kairos Basic Information
- 9.14.2 Kairos AI in IoT Product Overview
- 9.14.3 Kairos AI in IoT Product Market Performance
- 9.14.4 Kairos Business Overview
- 9.14.5 Kairos Recent Developments
- 9.15 Softweb Solutions
- 9.15.1 Softweb Solutions Basic Information
- 9.15.2 Softweb Solutions AI in IoT Product Overview
- 9.15.3 Softweb Solutions AI in IoT Product Market Performance
- 9.15.4 Softweb Solutions Business Overview
- 9.15.5 Softweb Solutions Recent Developments
- 9.16 Arundo
- 9.16.1 Arundo Basic Information
- 9.16.2 Arundo AI in IoT Product Overview
- 9.16.3 Arundo AI in IoT Product Market Performance
- 9.16.4 Arundo Business Overview
- 9.16.5 Arundo Recent Developments
- 9.17 C3 IoT
- 9.17.1 C3 IoT Basic Information
- 9.17.2 C3 IoT AI in IoT Product Overview
- 9.17.3 C3 IoT AI in IoT Product Market Performance
- 9.17.4 C3 IoT Business Overview
- 9.17.5 C3 IoT Recent Developments
- 9.18 Anagog
- 9.18.1 Anagog Basic Information
- 9.18.2 Anagog AI in IoT Product Overview
- 9.18.3 Anagog AI in IoT Product Market Performance
- 9.18.4 Anagog Business Overview
- 9.18.5 Anagog Recent Developments
- 9.19 Thingstel
- 9.19.1 Thingstel Basic Information
- 9.19.2 Thingstel AI in IoT Product Overview
- 9.19.3 Thingstel AI in IoT Product Market Performance
- 9.19.4 Thingstel Business Overview
- 9.19.5 Thingstel Recent Developments
- 9.20 Imagimob
- 9.20.1 Imagimob Basic Information
- 9.20.2 Imagimob AI in IoT Product Overview
- 9.20.3 Imagimob AI in IoT Product Market Performance
- 9.20.4 Imagimob Business Overview
- 9.20.5 Imagimob Recent Developments
- 10 AI in IoT Market Forecast by Region
- 10.1 Global AI in IoT Market Size Forecast
- 10.2 Global AI in IoT Market Forecast by Region
- 10.2.1 North America Market Size Forecast by Country
- 10.2.2 Europe AI in IoT Market Size Forecast by Country
- 10.2.3 Asia Pacific AI in IoT Market Size Forecast by Region
- 10.2.4 South America AI in IoT Market Size Forecast by Country
- 10.2.5 Middle East and Africa Forecasted Sales of AI in IoT by Country
- 11 Forecast Market by Type and by Application (2026-2035)
- 11.1 Global AI in IoT Market Forecast by Type (2026-2035)
- 11.1.1 Global AI in IoT Market Size Forecast by Type (2026-2035)
- 11.2 Global AI in IoT Market Forecast by Application (2026-2035)
- 11.2.1 Global AI in IoT Market Size (M USD) Forecast by Application (2026-2035)
- 12 Conclusion and Key Findings
Pricing
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