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Synopsis
AI applications for IoT enable companies to avoid unplanned downtime, increase operating efficiency, spawn new products and services, and enhance risk management.
The global AI in IoT market was valued at US$ 3808.5 million in 2023 and is anticipated to reach US$ 10280 million by 2030, witnessing a CAGR of 14.7% during the forecast period 2024-2030.
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.
This report aims to provide a comprehensive presentation of the global market for AI in IoT, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in IoT.
Report Scope
The AI in IoT market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI in IoT market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI in IoT companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By 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
Segment by Type
Platforms
Software Solutions
Services
Segment by Application
Manufacturing
Energy and Utilities
Transportation and Mobility
Banking, Financial Services, and Insurance
Government and Defense
Retail
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI in IoT companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
AI applications for IoT enable companies to avoid unplanned downtime, increase operating efficiency, spawn new products and services, and enhance risk management.
The global AI in IoT market was valued at US$ 3808.5 million in 2023 and is anticipated to reach US$ 10280 million by 2030, witnessing a CAGR of 14.7% during the forecast period 2024-2030.
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.
This report aims to provide a comprehensive presentation of the global market for AI in IoT, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in IoT.
Report Scope
The AI in IoT market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI in IoT market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI in IoT companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By 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
Segment by Type
Platforms
Software Solutions
Services
Segment by Application
Manufacturing
Energy and Utilities
Transportation and Mobility
Banking, Financial Services, and Insurance
Government and Defense
Retail
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI in IoT companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It 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 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI in IoT Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Platforms
1.2.3 Software Solutions
1.2.4 Services
1.3 Market by Application
1.3.1 Global AI in IoT Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Manufacturing
1.3.3 Energy and Utilities
1.3.4 Transportation and Mobility
1.3.5 Banking, Financial Services, and Insurance
1.3.6 Government and Defense
1.3.7 Retail
1.3.8 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in IoT Market Perspective (2019-2030)
2.2 AI in IoT Growth Trends by Region
2.2.1 Global AI in IoT Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI in IoT Historic Market Size by Region (2019-2024)
2.2.3 AI in IoT Forecasted Market Size by Region (2025-2030)
2.3 AI in IoT Market Dynamics
2.3.1 AI in IoT Industry Trends
2.3.2 AI in IoT Market Drivers
2.3.3 AI in IoT Market Challenges
2.3.4 AI in IoT Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI in IoT Players by Revenue
3.1.1 Global Top AI in IoT Players by Revenue (2019-2024)
3.1.2 Global AI in IoT Revenue Market Share by Players (2019-2024)
3.2 Global AI in IoT Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI in IoT Revenue
3.4 Global AI in IoT Market Concentration Ratio
3.4.1 Global AI in IoT Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in IoT Revenue in 2023
3.5 AI in IoT Key Players Head office and Area Served
3.6 Key Players AI in IoT Product Solution and Service
3.7 Date of Enter into AI in IoT Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in IoT Breakdown Data by Type
4.1 Global AI in IoT Historic Market Size by Type (2019-2024)
4.2 Global AI in IoT Forecasted Market Size by Type (2025-2030)
5 AI in IoT Breakdown Data by Application
5.1 Global AI in IoT Historic Market Size by Application (2019-2024)
5.2 Global AI in IoT Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI in IoT Market Size (2019-2030)
6.2 North America AI in IoT Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI in IoT Market Size by Country (2019-2024)
6.4 North America AI in IoT Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in IoT Market Size (2019-2030)
7.2 Europe AI in IoT Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI in IoT Market Size by Country (2019-2024)
7.4 Europe AI in IoT Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI in IoT Market Size (2019-2030)
8.2 Asia-Pacific AI in IoT Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI in IoT Market Size by Region (2019-2024)
8.4 Asia-Pacific AI in IoT Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI in IoT Market Size (2019-2030)
9.2 Latin America AI in IoT Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI in IoT Market Size by Country (2019-2024)
9.4 Latin America AI in IoT Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in IoT Market Size (2019-2030)
10.2 Middle East & Africa AI in IoT Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI in IoT Market Size by Country (2019-2024)
10.4 Middle East & Africa AI in IoT Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM AI in IoT Introduction
11.1.4 IBM Revenue in AI in IoT Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft AI in IoT Introduction
11.2.4 Microsoft Revenue in AI in IoT Business (2019-2024)
11.2.5 Microsoft Recent Development
11.3 Google
11.3.1 Google Company Detail
11.3.2 Google Business Overview
11.3.3 Google AI in IoT Introduction
11.3.4 Google Revenue in AI in IoT Business (2019-2024)
11.3.5 Google Recent Development
11.4 PTC
11.4.1 PTC Company Detail
11.4.2 PTC Business Overview
11.4.3 PTC AI in IoT Introduction
11.4.4 PTC Revenue in AI in IoT Business (2019-2024)
11.4.5 PTC Recent Development
11.5 AWS
11.5.1 AWS Company Detail
11.5.2 AWS Business Overview
11.5.3 AWS AI in IoT Introduction
11.5.4 AWS Revenue in AI in IoT Business (2019-2024)
11.5.5 AWS Recent Development
11.6 Oracle
11.6.1 Oracle Company Detail
11.6.2 Oracle Business Overview
11.6.3 Oracle AI in IoT Introduction
11.6.4 Oracle Revenue in AI in IoT Business (2019-2024)
11.6.5 Oracle Recent Development
11.7 GE
11.7.1 GE Company Detail
11.7.2 GE Business Overview
11.7.3 GE AI in IoT Introduction
11.7.4 GE Revenue in AI in IoT Business (2019-2024)
11.7.5 GE Recent Development
11.8 Salesforce
11.8.1 Salesforce Company Detail
11.8.2 Salesforce Business Overview
11.8.3 Salesforce AI in IoT Introduction
11.8.4 Salesforce Revenue in AI in IoT Business (2019-2024)
11.8.5 Salesforce Recent Development
11.9 SAP
11.9.1 SAP Company Detail
11.9.2 SAP Business Overview
11.9.3 SAP AI in IoT Introduction
11.9.4 SAP Revenue in AI in IoT Business (2019-2024)
11.9.5 SAP Recent Development
11.10 Hitachi
11.10.1 Hitachi Company Detail
11.10.2 Hitachi Business Overview
11.10.3 Hitachi AI in IoT Introduction
11.10.4 Hitachi Revenue in AI in IoT Business (2019-2024)
11.10.5 Hitachi Recent Development
11.11 Uptake
11.11.1 Uptake Company Detail
11.11.2 Uptake Business Overview
11.11.3 Uptake AI in IoT Introduction
11.11.4 Uptake Revenue in AI in IoT Business (2019-2024)
11.11.5 Uptake Recent Development
11.12 SAS
11.12.1 SAS Company Detail
11.12.2 SAS Business Overview
11.12.3 SAS AI in IoT Introduction
11.12.4 SAS Revenue in AI in IoT Business (2019-2024)
11.12.5 SAS Recent Development
11.13 Autoplant Systems India Pvt. Ltd.
11.13.1 Autoplant Systems India Pvt. Ltd. Company Detail
11.13.2 Autoplant Systems India Pvt. Ltd. Business Overview
11.13.3 Autoplant Systems India Pvt. Ltd. AI in IoT Introduction
11.13.4 Autoplant Systems India Pvt. Ltd. Revenue in AI in IoT Business (2019-2024)
11.13.5 Autoplant Systems India Pvt. Ltd. Recent Development
11.14 Kairos
11.14.1 Kairos Company Detail
11.14.2 Kairos Business Overview
11.14.3 Kairos AI in IoT Introduction
11.14.4 Kairos Revenue in AI in IoT Business (2019-2024)
11.14.5 Kairos Recent Development
11.15 Softweb Solutions
11.15.1 Softweb Solutions Company Detail
11.15.2 Softweb Solutions Business Overview
11.15.3 Softweb Solutions AI in IoT Introduction
11.15.4 Softweb Solutions Revenue in AI in IoT Business (2019-2024)
11.15.5 Softweb Solutions Recent Development
11.16 Arundo
11.16.1 Arundo Company Detail
11.16.2 Arundo Business Overview
11.16.3 Arundo AI in IoT Introduction
11.16.4 Arundo Revenue in AI in IoT Business (2019-2024)
11.16.5 Arundo Recent Development
11.17 C3 IoT
11.17.1 C3 IoT Company Detail
11.17.2 C3 IoT Business Overview
11.17.3 C3 IoT AI in IoT Introduction
11.17.4 C3 IoT Revenue in AI in IoT Business (2019-2024)
11.17.5 C3 IoT Recent Development
11.18 Anagog
11.18.1 Anagog Company Detail
11.18.2 Anagog Business Overview
11.18.3 Anagog AI in IoT Introduction
11.18.4 Anagog Revenue in AI in IoT Business (2019-2024)
11.18.5 Anagog Recent Development
11.19 Thingstel
11.19.1 Thingstel Company Detail
11.19.2 Thingstel Business Overview
11.19.3 Thingstel AI in IoT Introduction
11.19.4 Thingstel Revenue in AI in IoT Business (2019-2024)
11.19.5 Thingstel Recent Development
11.20 Imagimob
11.20.1 Imagimob Company Detail
11.20.2 Imagimob Business Overview
11.20.3 Imagimob AI in IoT Introduction
11.20.4 Imagimob Revenue in AI in IoT Business (2019-2024)
11.20.5 Imagimob Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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