Global Enterprise Artificial Intelligence 麻豆原创 Insights, Forecast to 2030

Publication ID:

PB512245354

Publication Date:

December 13, 2024

Pages:

114

Publisher:

MRRPB5

Countries:

Global [1]

USD 4,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
麻豆原创 Analysis and Insights: Global Enterprise Artificial Intelligence 麻豆原创
The global Enterprise Artificial Intelligence market is projected to grow from US$ 1568.3 million in 2024 to US$ 6769.1 million by 2030, at a Compound Annual Growth Rate (CAGR) of 27.6% during the forecast period.
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 楼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.
Report Covers:
This report presents an overview of global market for Enterprise Artificial Intelligence market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Enterprise Artificial Intelligence, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Enterprise Artificial Intelligence, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Enterprise Artificial Intelligence revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Enterprise Artificial Intelligence market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Enterprise Artificial Intelligence revenue, projected growth trends, production technology, application and end-user industry.
麻豆原创 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
麻豆原创ing
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
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (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 market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Enterprise Artificial Intelligence in global and regional level. 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. 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鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Enterprise Artificial Intelligence revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions

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Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Enterprise Artificial Intelligence 麻豆原创 Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Business Intelligence
1.2.3 Customer Management
1.2.4 麻豆原创ing
1.3 麻豆原创 by Application
1.3.1 Global Enterprise Artificial Intelligence 麻豆原创 Size Growth Rate 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 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Enterprise Artificial Intelligence 麻豆原创 Perspective (2019-2030)
2.2 Global Enterprise Artificial Intelligence Growth Trends by Region
2.2.1 Enterprise Artificial Intelligence 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Enterprise Artificial Intelligence Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Enterprise Artificial Intelligence Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Enterprise Artificial Intelligence 麻豆原创 Dynamics
2.3.1 Enterprise Artificial Intelligence Industry Trends
2.3.2 Enterprise Artificial Intelligence 麻豆原创 Drivers
2.3.3 Enterprise Artificial Intelligence 麻豆原创 Challenges
2.3.4 Enterprise Artificial Intelligence 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Enterprise Artificial Intelligence by Players
3.1.1 Global Enterprise Artificial Intelligence Revenue by Players (2019-2024)
3.1.2 Global Enterprise Artificial Intelligence Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Enterprise Artificial Intelligence 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Enterprise Artificial Intelligence, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Enterprise Artificial Intelligence 麻豆原创 Concentration Ratio
3.4.1 Global Enterprise Artificial Intelligence 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Enterprise Artificial Intelligence Revenue in 2023
3.5 Global Key Players of Enterprise Artificial Intelligence Head office and Area Served
3.6 Global Key Players of Enterprise Artificial Intelligence, Product and Application
3.7 Global Key Players of Enterprise Artificial Intelligence, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Enterprise Artificial Intelligence Breakdown Data by Type
4.1 Global Enterprise Artificial Intelligence Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Enterprise Artificial Intelligence Forecasted 麻豆原创 Size by Type (2025-2030)
5 Enterprise Artificial Intelligence Breakdown Data by Application
5.1 Global Enterprise Artificial Intelligence Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Enterprise Artificial Intelligence Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Enterprise Artificial Intelligence 麻豆原创 Size (2019-2030)
6.2 North America Enterprise Artificial Intelligence 麻豆原创 Size by Type
6.2.1 North America Enterprise Artificial Intelligence 麻豆原创 Size by Type (2019-2024)
6.2.2 North America Enterprise Artificial Intelligence 麻豆原创 Size by Type (2025-2030)
6.2.3 North America Enterprise Artificial Intelligence 麻豆原创 Share by Type (2019-2030)
6.3 North America Enterprise Artificial Intelligence 麻豆原创 Size by Application
6.3.1 North America Enterprise Artificial Intelligence 麻豆原创 Size by Application (2019-2024)
6.3.2 North America Enterprise Artificial Intelligence 麻豆原创 Size by Application (2025-2030)
6.3.3 North America Enterprise Artificial Intelligence 麻豆原创 Share by Application (2019-2030)
6.4 North America Enterprise Artificial Intelligence 麻豆原创 Size by Country
6.4.1 North America Enterprise Artificial Intelligence 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Enterprise Artificial Intelligence 麻豆原创 Size by Country (2019-2024)
6.4.3 North America Enterprise Artificial Intelligence 麻豆原创 Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Enterprise Artificial Intelligence 麻豆原创 Size (2019-2030)
7.2 Europe Enterprise Artificial Intelligence 麻豆原创 Size by Type
7.2.1 Europe Enterprise Artificial Intelligence 麻豆原创 Size by Type (2019-2024)
7.2.2 Europe Enterprise Artificial Intelligence 麻豆原创 Size by Type (2025-2030)
7.2.3 Europe Enterprise Artificial Intelligence 麻豆原创 Share by Type (2019-2030)
7.3 Europe Enterprise Artificial Intelligence 麻豆原创 Size by Application
7.3.1 Europe Enterprise Artificial Intelligence 麻豆原创 Size by Application (2019-2024)
7.3.2 Europe Enterprise Artificial Intelligence 麻豆原创 Size by Application (2025-2030)
7.3.3 Europe Enterprise Artificial Intelligence 麻豆原创 Share by Application (2019-2030)
7.4 Europe Enterprise Artificial Intelligence 麻豆原创 Size by Country
7.4.1 Europe Enterprise Artificial Intelligence 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Enterprise Artificial Intelligence 麻豆原创 Size by Country (2019-2024)
7.4.3 Europe Enterprise Artificial Intelligence 麻豆原创 Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Enterprise Artificial Intelligence 麻豆原创 Size (2019-2030)
8.2 China Enterprise Artificial Intelligence 麻豆原创 Size by Type
8.2.1 China Enterprise Artificial Intelligence 麻豆原创 Size by Type (2019-2024)
8.2.2 China Enterprise Artificial Intelligence 麻豆原创 Size by Type (2025-2030)
8.2.3 China Enterprise Artificial Intelligence 麻豆原创 Share by Type (2019-2030)
8.3 China Enterprise Artificial Intelligence 麻豆原创 Size by Application
8.3.1 China Enterprise Artificial Intelligence 麻豆原创 Size by Application (2019-2024)
8.3.2 China Enterprise Artificial Intelligence 麻豆原创 Size by Application (2025-2030)
8.3.3 China Enterprise Artificial Intelligence 麻豆原创 Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Enterprise Artificial Intelligence 麻豆原创 Size (2019-2030)
9.2 Asia Enterprise Artificial Intelligence 麻豆原创 Size by Type
9.2.1 Asia Enterprise Artificial Intelligence 麻豆原创 Size by Type (2019-2024)
9.2.2 Asia Enterprise Artificial Intelligence 麻豆原创 Size by Type (2025-2030)
9.2.3 Asia Enterprise Artificial Intelligence 麻豆原创 Share by Type (2019-2030)
9.3 Asia Enterprise Artificial Intelligence 麻豆原创 Size by Application
9.3.1 Asia Enterprise Artificial Intelligence 麻豆原创 Size by Application (2019-2024)
9.3.2 Asia Enterprise Artificial Intelligence 麻豆原创 Size by Application (2025-2030)
9.3.3 Asia Enterprise Artificial Intelligence 麻豆原创 Share by Application (2019-2030)
9.4 Asia Enterprise Artificial Intelligence 麻豆原创 Size by Region
9.4.1 Asia Enterprise Artificial Intelligence 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Enterprise Artificial Intelligence 麻豆原创 Size by Region (2019-2024)
9.4.3 Asia Enterprise Artificial Intelligence 麻豆原创 Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Size (2019-2030)
10.2 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Size by Type
10.2.1 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Size by Application
10.3.1 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Size by Country
10.4.1 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Enterprise Artificial Intelligence 麻豆原创 Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 SAS Institute (U.S.)
11.1.1 SAS Institute (U.S.) Company Details
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 Developments
11.2 IBM (U.S.)
11.2.1 IBM (U.S.) Company Details
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 Developments
11.3 Microsoft (U.S.)
11.3.1 Microsoft (U.S.) Company Details
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 Developments
11.4 Amazon Web Services (U.S.)
11.4.1 Amazon Web Services (U.S.) Company Details
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 Developments
11.5 Intel (U.S.)
11.5.1 Intel (U.S.) Company Details
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 Developments
11.6 Google (U.S.)
11.6.1 Google (U.S.) Company Details
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 Developments
11.7 SAP SE (Germany)
11.7.1 SAP SE (Germany) Company Details
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 Developments
11.8 Sentinent Technologies (U.S.)
11.8.1 Sentinent Technologies (U.S.) Company Details
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 Developments
11.9 Oracle Corporation (U.S.)
11.9.1 Oracle Corporation (U.S.) Company Details
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 Developments
11.10 Hewlett Packard Enterprise (U.S.)
11.10.1 Hewlett Packard Enterprise (U.S.) Company Details
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 Developments
11.11 Wipro Technologies (India)
11.11.1 Wipro Technologies (India) Company Details
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 Developments
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

Companies Mentioned:

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)

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