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Global Enterprise Artificial Intelligence Market Research Report 2024
Synopsis
Enterprises hold a prominent market value considering their services and solution created for different functions and business uses. These enterprises largely deploy technologies such as machine learning, deep learning, automated data science, predictive analytics, and automation to provide a solution for different enterprises. The market for enterprise artificial intelligence is expected to experience a high growth rate. One of the major factors contributing to the growth of this market is the growing demand for artificial intelligence based solutions and platforms. Additionally, the growing amount of data sets required to analyze, complex data for with integration of artificial intelligence for better efficiency is driving the market. As artificial intelligence is experiencing more significant adoption rate in the industrial sector, it becomes essential for the enterprises to upgrade their solutions to meet the industrial standards.
The global Enterprise Artificial Intelligence market was valued at US$ 1191.5 million in 2023 and is anticipated to reach US$ 6769.1 million by 2030, witnessing a CAGR of 27.6% 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 1/42 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for Enterprise Artificial Intelligence, 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 Enterprise Artificial Intelligence.
Report Scope
The Enterprise Artificial Intelligence 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 Enterprise Artificial Intelligence 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 Enterprise Artificial Intelligence 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
SAS Institute (U.S.)
IBM (U.S.)
Microsoft (U.S.)
Amazon Web Services (U.S.)
Intel (U.S.)
Google (U.S.)
SAP SE (Germany)
Sentinent Technologies (U.S.)
Oracle Corporation (U.S.)
Hewlett Packard Enterprise (U.S.)
Wipro Technologies (India)
Segment by Type
Business Intelligence
Customer Management
Marketing
Segment by Application
Retail
Medical Insurance
Automobile Industry
Aerospace
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 Enterprise Artificial Intelligence 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.
Enterprises hold a prominent market value considering their services and solution created for different functions and business uses. These enterprises largely deploy technologies such as machine learning, deep learning, automated data science, predictive analytics, and automation to provide a solution for different enterprises. The market for enterprise artificial intelligence is expected to experience a high growth rate. One of the major factors contributing to the growth of this market is the growing demand for artificial intelligence based solutions and platforms. Additionally, the growing amount of data sets required to analyze, complex data for with integration of artificial intelligence for better efficiency is driving the market. As artificial intelligence is experiencing more significant adoption rate in the industrial sector, it becomes essential for the enterprises to upgrade their solutions to meet the industrial standards.
The global Enterprise Artificial Intelligence market was valued at US$ 1191.5 million in 2023 and is anticipated to reach US$ 6769.1 million by 2030, witnessing a CAGR of 27.6% 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 1/42 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for Enterprise Artificial Intelligence, 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 Enterprise Artificial Intelligence.
Report Scope
The Enterprise Artificial Intelligence 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 Enterprise Artificial Intelligence 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 Enterprise Artificial Intelligence 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
SAS Institute (U.S.)
IBM (U.S.)
Microsoft (U.S.)
Amazon Web Services (U.S.)
Intel (U.S.)
Google (U.S.)
SAP SE (Germany)
Sentinent Technologies (U.S.)
Oracle Corporation (U.S.)
Hewlett Packard Enterprise (U.S.)
Wipro Technologies (India)
Segment by Type
Business Intelligence
Customer Management
Marketing
Segment by Application
Retail
Medical Insurance
Automobile Industry
Aerospace
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 Enterprise Artificial Intelligence 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 Enterprise Artificial Intelligence Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Business Intelligence
1.2.3 Customer Management
1.2.4 Marketing
1.3 Market by Application
1.3.1 Global Enterprise Artificial Intelligence Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Retail
1.3.3 Medical Insurance
1.3.4 Automobile Industry
1.3.5 Aerospace
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Enterprise Artificial Intelligence Market Perspective (2019-2030)
2.2 Enterprise Artificial Intelligence Growth Trends by Region
2.2.1 Global Enterprise Artificial Intelligence Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Enterprise Artificial Intelligence Historic Market Size by Region (2019-2024)
2.2.3 Enterprise Artificial Intelligence Forecasted Market Size by Region (2025-2030)
2.3 Enterprise Artificial Intelligence Market Dynamics
2.3.1 Enterprise Artificial Intelligence Industry Trends
2.3.2 Enterprise Artificial Intelligence Market Drivers
2.3.3 Enterprise Artificial Intelligence Market Challenges
2.3.4 Enterprise Artificial Intelligence Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Enterprise Artificial Intelligence Players by Revenue
3.1.1 Global Top Enterprise Artificial Intelligence Players by Revenue (2019-2024)
3.1.2 Global Enterprise Artificial Intelligence Revenue Market Share by Players (2019-2024)
3.2 Global Enterprise Artificial Intelligence Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Enterprise Artificial Intelligence Revenue
3.4 Global Enterprise Artificial Intelligence Market Concentration Ratio
3.4.1 Global Enterprise Artificial Intelligence Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Enterprise Artificial Intelligence Revenue in 2023
3.5 Enterprise Artificial Intelligence Key Players Head office and Area Served
3.6 Key Players Enterprise Artificial Intelligence Product Solution and Service
3.7 Date of Enter into Enterprise Artificial Intelligence Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Enterprise Artificial Intelligence Breakdown Data by Type
4.1 Global Enterprise Artificial Intelligence Historic Market Size by Type (2019-2024)
4.2 Global Enterprise Artificial Intelligence Forecasted Market Size by Type (2025-2030)
5 Enterprise Artificial Intelligence Breakdown Data by Application
5.1 Global Enterprise Artificial Intelligence Historic Market Size by Application (2019-2024)
5.2 Global Enterprise Artificial Intelligence Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Enterprise Artificial Intelligence Market Size (2019-2030)
6.2 North America Enterprise Artificial Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Enterprise Artificial Intelligence Market Size by Country (2019-2024)
6.4 North America Enterprise Artificial Intelligence Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Enterprise Artificial Intelligence Market Size (2019-2030)
7.2 Europe Enterprise Artificial Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Enterprise Artificial Intelligence Market Size by Country (2019-2024)
7.4 Europe Enterprise Artificial Intelligence 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 Enterprise Artificial Intelligence Market Size (2019-2030)
8.2 Asia-Pacific Enterprise Artificial Intelligence Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Enterprise Artificial Intelligence Market Size by Region (2019-2024)
8.4 Asia-Pacific Enterprise Artificial Intelligence 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 Enterprise Artificial Intelligence Market Size (2019-2030)
9.2 Latin America Enterprise Artificial Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Enterprise Artificial Intelligence Market Size by Country (2019-2024)
9.4 Latin America Enterprise Artificial Intelligence Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Enterprise Artificial Intelligence Market Size (2019-2030)
10.2 Middle East & Africa Enterprise Artificial Intelligence Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Enterprise Artificial Intelligence Market Size by Country (2019-2024)
10.4 Middle East & Africa Enterprise Artificial Intelligence Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 SAS Institute (U.S.)
11.1.1 SAS Institute (U.S.) Company Detail
11.1.2 SAS Institute (U.S.) Business Overview
11.1.3 SAS Institute (U.S.) Enterprise Artificial Intelligence Introduction
11.1.4 SAS Institute (U.S.) Revenue in Enterprise Artificial Intelligence Business (2019-2024)
11.1.5 SAS Institute (U.S.) Recent Development
11.2 IBM (U.S.)
11.2.1 IBM (U.S.) Company Detail
11.2.2 IBM (U.S.) Business Overview
11.2.3 IBM (U.S.) Enterprise Artificial Intelligence Introduction
11.2.4 IBM (U.S.) Revenue in Enterprise Artificial Intelligence Business (2019-2024)
11.2.5 IBM (U.S.) Recent Development
11.3 Microsoft (U.S.)
11.3.1 Microsoft (U.S.) Company Detail
11.3.2 Microsoft (U.S.) Business Overview
11.3.3 Microsoft (U.S.) Enterprise Artificial Intelligence Introduction
11.3.4 Microsoft (U.S.) Revenue in Enterprise Artificial Intelligence Business (2019-2024)
11.3.5 Microsoft (U.S.) Recent Development
11.4 Amazon Web Services (U.S.)
11.4.1 Amazon Web Services (U.S.) Company Detail
11.4.2 Amazon Web Services (U.S.) Business Overview
11.4.3 Amazon Web Services (U.S.) Enterprise Artificial Intelligence Introduction
11.4.4 Amazon Web Services (U.S.) Revenue in Enterprise Artificial Intelligence Business (2019-2024)
11.4.5 Amazon Web Services (U.S.) Recent Development
11.5 Intel (U.S.)
11.5.1 Intel (U.S.) Company Detail
11.5.2 Intel (U.S.) Business Overview
11.5.3 Intel (U.S.) Enterprise Artificial Intelligence Introduction
11.5.4 Intel (U.S.) Revenue in Enterprise Artificial Intelligence Business (2019-2024)
11.5.5 Intel (U.S.) Recent Development
11.6 Google (U.S.)
11.6.1 Google (U.S.) Company Detail
11.6.2 Google (U.S.) Business Overview
11.6.3 Google (U.S.) Enterprise Artificial Intelligence Introduction
11.6.4 Google (U.S.) Revenue in Enterprise Artificial Intelligence Business (2019-2024)
11.6.5 Google (U.S.) Recent Development
11.7 SAP SE (Germany)
11.7.1 SAP SE (Germany) Company Detail
11.7.2 SAP SE (Germany) Business Overview
11.7.3 SAP SE (Germany) Enterprise Artificial Intelligence Introduction
11.7.4 SAP SE (Germany) Revenue in Enterprise Artificial Intelligence Business (2019-2024)
11.7.5 SAP SE (Germany) Recent Development
11.8 Sentinent Technologies (U.S.)
11.8.1 Sentinent Technologies (U.S.) Company Detail
11.8.2 Sentinent Technologies (U.S.) Business Overview
11.8.3 Sentinent Technologies (U.S.) Enterprise Artificial Intelligence Introduction
11.8.4 Sentinent Technologies (U.S.) Revenue in Enterprise Artificial Intelligence Business (2019-2024)
11.8.5 Sentinent Technologies (U.S.) Recent Development
11.9 Oracle Corporation (U.S.)
11.9.1 Oracle Corporation (U.S.) Company Detail
11.9.2 Oracle Corporation (U.S.) Business Overview
11.9.3 Oracle Corporation (U.S.) Enterprise Artificial Intelligence Introduction
11.9.4 Oracle Corporation (U.S.) Revenue in Enterprise Artificial Intelligence Business (2019-2024)
11.9.5 Oracle Corporation (U.S.) Recent Development
11.10 Hewlett Packard Enterprise (U.S.)
11.10.1 Hewlett Packard Enterprise (U.S.) Company Detail
11.10.2 Hewlett Packard Enterprise (U.S.) Business Overview
11.10.3 Hewlett Packard Enterprise (U.S.) Enterprise Artificial Intelligence Introduction
11.10.4 Hewlett Packard Enterprise (U.S.) Revenue in Enterprise Artificial Intelligence Business (2019-2024)
11.10.5 Hewlett Packard Enterprise (U.S.) Recent Development
11.11 Wipro Technologies (India)
11.11.1 Wipro Technologies (India) Company Detail
11.11.2 Wipro Technologies (India) Business Overview
11.11.3 Wipro Technologies (India) Enterprise Artificial Intelligence Introduction
11.11.4 Wipro Technologies (India) Revenue in Enterprise Artificial Intelligence Business (2019-2024)
11.11.5 Wipro Technologies (India) 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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