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Global Artificial Intelligence in IoT Market Research Report 2024
Synopsis
In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. More specifically, Kaplan and Haenlein define AI as “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation”. Colloquially, the term "artificial intelligence" is used to describe machines that mimic "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".
The global Artificial Intelligence in IoT market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Artificial Intelligence in IoT is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Artificial Intelligence in IoT is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Artificial Intelligence in IoT in Small & Medium Scale Business is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Artificial Intelligence in IoT include Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion and Amazon, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence 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 Artificial Intelligence in IoT.
Report Scope
The Artificial Intelligence 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 Artificial Intelligence 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 Artificial Intelligence 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
Google
Baidu
IBM
Microsoft
SAP
Intel
Salesforce
Brighterion
Amazon
AT & T
CISCO
ORACLE
HITACHI
KITT.AI
IFlyTek
Megvii Technology
Albert Technologies
H2O.ai
Brainasoft
Yseop
Ipsoft
NanoRep(LogMeIn)
Ada Support
Astute Solutions
IDEAL.com
Wipro
Segment by Type
On-Premise
Cloud-based
Segment by Application
Small & Medium Scale Business
Large Scale Busines
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 Artificial Intelligence 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.
In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. More specifically, Kaplan and Haenlein define AI as “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation”. Colloquially, the term "artificial intelligence" is used to describe machines that mimic "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".
The global Artificial Intelligence in IoT market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Artificial Intelligence in IoT is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Artificial Intelligence in IoT is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Artificial Intelligence in IoT in Small & Medium Scale Business is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Artificial Intelligence in IoT include Google, Baidu, IBM, Microsoft, SAP, Intel, Salesforce, Brighterion and Amazon, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence 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 Artificial Intelligence in IoT.
Report Scope
The Artificial Intelligence 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 Artificial Intelligence 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 Artificial Intelligence 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
Baidu
IBM
Microsoft
SAP
Intel
Salesforce
Brighterion
Amazon
AT & T
CISCO
ORACLE
HITACHI
KITT.AI
IFlyTek
Megvii Technology
Albert Technologies
H2O.ai
Brainasoft
Yseop
Ipsoft
NanoRep(LogMeIn)
Ada Support
Astute Solutions
IDEAL.com
Wipro
Segment by Type
On-Premise
Cloud-based
Segment by Application
Small & Medium Scale Business
Large Scale Busines
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 Artificial Intelligence 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 Artificial Intelligence in IoT Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premise
1.2.3 Cloud-based
1.3 Market by Application
1.3.1 Global Artificial Intelligence in IoT Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Small & Medium Scale Business
1.3.3 Large Scale Busines
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in IoT Market Perspective (2019-2030)
2.2 Artificial Intelligence in IoT Growth Trends by Region
2.2.1 Global Artificial Intelligence in IoT Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence in IoT Historic Market Size by Region (2019-2024)
2.2.3 Artificial Intelligence in IoT Forecasted Market Size by Region (2025-2030)
2.3 Artificial Intelligence in IoT Market Dynamics
2.3.1 Artificial Intelligence in IoT Industry Trends
2.3.2 Artificial Intelligence in IoT Market Drivers
2.3.3 Artificial Intelligence in IoT Market Challenges
2.3.4 Artificial Intelligence in IoT Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence in IoT Players by Revenue
3.1.1 Global Top Artificial Intelligence in IoT Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence in IoT Revenue Market Share by Players (2019-2024)
3.2 Global Artificial Intelligence in IoT Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence in IoT Revenue
3.4 Global Artificial Intelligence in IoT Market Concentration Ratio
3.4.1 Global Artificial Intelligence in IoT Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in IoT Revenue in 2023
3.5 Artificial Intelligence in IoT Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence in IoT Product Solution and Service
3.7 Date of Enter into Artificial Intelligence in IoT Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence in IoT Breakdown Data by Type
4.1 Global Artificial Intelligence in IoT Historic Market Size by Type (2019-2024)
4.2 Global Artificial Intelligence in IoT Forecasted Market Size by Type (2025-2030)
5 Artificial Intelligence in IoT Breakdown Data by Application
5.1 Global Artificial Intelligence in IoT Historic Market Size by Application (2019-2024)
5.2 Global Artificial Intelligence in IoT Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence in IoT Market Size (2019-2030)
6.2 North America Artificial Intelligence in IoT Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence in IoT Market Size by Country (2019-2024)
6.4 North America Artificial Intelligence in IoT Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence in IoT Market Size (2019-2030)
7.2 Europe Artificial Intelligence in IoT Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence in IoT Market Size by Country (2019-2024)
7.4 Europe Artificial Intelligence 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 Artificial Intelligence in IoT Market Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence in IoT Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence in IoT Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence 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 Artificial Intelligence in IoT Market Size (2019-2030)
9.2 Latin America Artificial Intelligence in IoT Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence in IoT Market Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence in IoT Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in IoT Market Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence in IoT Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence in IoT Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence in IoT Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google
11.1.1 Google Company Detail
11.1.2 Google Business Overview
11.1.3 Google Artificial Intelligence in IoT Introduction
11.1.4 Google Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.1.5 Google Recent Development
11.2 Baidu
11.2.1 Baidu Company Detail
11.2.2 Baidu Business Overview
11.2.3 Baidu Artificial Intelligence in IoT Introduction
11.2.4 Baidu Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.2.5 Baidu Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Artificial Intelligence in IoT Introduction
11.3.4 IBM Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.3.5 IBM Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Artificial Intelligence in IoT Introduction
11.4.4 Microsoft Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.4.5 Microsoft Recent Development
11.5 SAP
11.5.1 SAP Company Detail
11.5.2 SAP Business Overview
11.5.3 SAP Artificial Intelligence in IoT Introduction
11.5.4 SAP Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.5.5 SAP Recent Development
11.6 Intel
11.6.1 Intel Company Detail
11.6.2 Intel Business Overview
11.6.3 Intel Artificial Intelligence in IoT Introduction
11.6.4 Intel Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.6.5 Intel Recent Development
11.7 Salesforce
11.7.1 Salesforce Company Detail
11.7.2 Salesforce Business Overview
11.7.3 Salesforce Artificial Intelligence in IoT Introduction
11.7.4 Salesforce Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.7.5 Salesforce Recent Development
11.8 Brighterion
11.8.1 Brighterion Company Detail
11.8.2 Brighterion Business Overview
11.8.3 Brighterion Artificial Intelligence in IoT Introduction
11.8.4 Brighterion Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.8.5 Brighterion Recent Development
11.9 Amazon
11.9.1 Amazon Company Detail
11.9.2 Amazon Business Overview
11.9.3 Amazon Artificial Intelligence in IoT Introduction
11.9.4 Amazon Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.9.5 Amazon Recent Development
11.10 AT & T
11.10.1 AT & T Company Detail
11.10.2 AT & T Business Overview
11.10.3 AT & T Artificial Intelligence in IoT Introduction
11.10.4 AT & T Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.10.5 AT & T Recent Development
11.11 CISCO
11.11.1 CISCO Company Detail
11.11.2 CISCO Business Overview
11.11.3 CISCO Artificial Intelligence in IoT Introduction
11.11.4 CISCO Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.11.5 CISCO Recent Development
11.12 ORACLE
11.12.1 ORACLE Company Detail
11.12.2 ORACLE Business Overview
11.12.3 ORACLE Artificial Intelligence in IoT Introduction
11.12.4 ORACLE Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.12.5 ORACLE Recent Development
11.13 HITACHI
11.13.1 HITACHI Company Detail
11.13.2 HITACHI Business Overview
11.13.3 HITACHI Artificial Intelligence in IoT Introduction
11.13.4 HITACHI Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.13.5 HITACHI Recent Development
11.14 KITT.AI
11.14.1 KITT.AI Company Detail
11.14.2 KITT.AI Business Overview
11.14.3 KITT.AI Artificial Intelligence in IoT Introduction
11.14.4 KITT.AI Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.14.5 KITT.AI Recent Development
11.15 IFlyTek
11.15.1 IFlyTek Company Detail
11.15.2 IFlyTek Business Overview
11.15.3 IFlyTek Artificial Intelligence in IoT Introduction
11.15.4 IFlyTek Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.15.5 IFlyTek Recent Development
11.16 Megvii Technology
11.16.1 Megvii Technology Company Detail
11.16.2 Megvii Technology Business Overview
11.16.3 Megvii Technology Artificial Intelligence in IoT Introduction
11.16.4 Megvii Technology Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.16.5 Megvii Technology Recent Development
11.17 Albert Technologies
11.17.1 Albert Technologies Company Detail
11.17.2 Albert Technologies Business Overview
11.17.3 Albert Technologies Artificial Intelligence in IoT Introduction
11.17.4 Albert Technologies Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.17.5 Albert Technologies Recent Development
11.18 H2O.ai
11.18.1 H2O.ai Company Detail
11.18.2 H2O.ai Business Overview
11.18.3 H2O.ai Artificial Intelligence in IoT Introduction
11.18.4 H2O.ai Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.18.5 H2O.ai Recent Development
11.19 Brainasoft
11.19.1 Brainasoft Company Detail
11.19.2 Brainasoft Business Overview
11.19.3 Brainasoft Artificial Intelligence in IoT Introduction
11.19.4 Brainasoft Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.19.5 Brainasoft Recent Development
11.20 Yseop
11.20.1 Yseop Company Detail
11.20.2 Yseop Business Overview
11.20.3 Yseop Artificial Intelligence in IoT Introduction
11.20.4 Yseop Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.20.5 Yseop Recent Development
11.21 Ipsoft
11.21.1 Ipsoft Company Detail
11.21.2 Ipsoft Business Overview
11.21.3 Ipsoft Artificial Intelligence in IoT Introduction
11.21.4 Ipsoft Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.21.5 Ipsoft Recent Development
11.22 NanoRep(LogMeIn)
11.22.1 NanoRep(LogMeIn) Company Detail
11.22.2 NanoRep(LogMeIn) Business Overview
11.22.3 NanoRep(LogMeIn) Artificial Intelligence in IoT Introduction
11.22.4 NanoRep(LogMeIn) Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.22.5 NanoRep(LogMeIn) Recent Development
11.23 Ada Support
11.23.1 Ada Support Company Detail
11.23.2 Ada Support Business Overview
11.23.3 Ada Support Artificial Intelligence in IoT Introduction
11.23.4 Ada Support Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.23.5 Ada Support Recent Development
11.24 Astute Solutions
11.24.1 Astute Solutions Company Detail
11.24.2 Astute Solutions Business Overview
11.24.3 Astute Solutions Artificial Intelligence in IoT Introduction
11.24.4 Astute Solutions Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.24.5 Astute Solutions Recent Development
11.25 IDEAL.com
11.25.1 IDEAL.com Company Detail
11.25.2 IDEAL.com Business Overview
11.25.3 IDEAL.com Artificial Intelligence in IoT Introduction
11.25.4 IDEAL.com Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.25.5 IDEAL.com Recent Development
11.26 Wipro
11.26.1 Wipro Company Detail
11.26.2 Wipro Business Overview
11.26.3 Wipro Artificial Intelligence in IoT Introduction
11.26.4 Wipro Revenue in Artificial Intelligence in IoT Business (2019-2024)
11.26.5 Wipro 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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