Market Executive Summary

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.

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.

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.

Global Enterprise Artificial Intelligence Companies Covered

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)

Global Enterprise Artificial Intelligence Market, Segment by Type

Business Intelligence

Customer Management

Marketing

Global Enterprise Artificial Intelligence Market, Segment by Application

Retail

Medical Insurance

Automobile Industry

Aerospace

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.