Industry: Service & Software
Published Date: 2025-02-20
Pages: 113 Pages
Report ld: 4021625
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The global market for Cloud AI was estimated to be worth US$ million in 2024 and is forecast to a readjusted size of US$ million by 2031 with a CAGR of %during the forecast period 2025-2031.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.42%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Cloud AI, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Cloud AI by region & country, by Type, and by Application.
The Cloud AI market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. 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 Cloud AI.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Cloud AI company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Cloud AI in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Cloud AI in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Market Overview
1.1 Cloud AI Product Introduction
1.2 Global Cloud AI Market Size Forecast (2020-2031)
1.3 Cloud AI Market Trends & Drivers
1.3.1 Cloud AI Industry Trends
1.3.2 Cloud AI Market Drivers & Opportunity
1.3.3 Cloud AI Market Challenges
1.3.4 Cloud AI Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Cloud AI Players Revenue Ranking (2024)
2.2 Global Cloud AI Revenue by Company (2020-2025)
2.3 Key Companies Cloud AI Manufacturing Base Distribution and Headquarters
2.4 Key Companies Cloud AI Product Offered
2.5 Key Companies Time to Begin Mass Production of Cloud AI
2.6 Cloud AI Market Competitive Analysis
2.6.1 Cloud AI Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Cloud AI Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Cloud AI as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Public Clouds
3.1.2 Private Clouds
3.1.3 Hybrid Clouds
3.2 Global Cloud AI Sales Value by Type
3.2.1 Global Cloud AI Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Cloud AI Sales Value, by Type (2020-2031)
3.2.3 Global Cloud AI Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 BFSI
4.1.2 IT & Telecommunication
4.1.3 Manufacturing
4.1.4 Healthcare
4.1.5 Automotive
4.1.6 Retail
4.1.7 Education
4.1.8 Others
4.2 Global Cloud AI Sales Value by Application
4.2.1 Global Cloud AI Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global Cloud AI Sales Value, by Application (2020-2031)
4.2.3 Global Cloud AI Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global Cloud AI Sales Value by Region
5.1.1 Global Cloud AI Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Cloud AI Sales Value by Region (2020-2025)
5.1.3 Global Cloud AI Sales Value by Region (2026-2031)
5.1.4 Global Cloud AI Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Cloud AI Sales Value, 2020-2031
5.2.2 North America Cloud AI Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Cloud AI Sales Value, 2020-2031
5.3.2 Europe Cloud AI Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Cloud AI Sales Value, 2020-2031
5.4.2 Asia Pacific Cloud AI Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Cloud AI Sales Value, 2020-2031
5.5.2 South America Cloud AI Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Cloud AI Sales Value, 2020-2031
5.6.2 Middle East & Africa Cloud AI Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Cloud AI Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Cloud AI Sales Value, 2020-2031
6.3 United States
6.3.1 United States Cloud AI Sales Value, 2020-2031
6.3.2 United States Cloud AI Sales Value by Type (%), 2024 VS 2031
6.3.3 United States Cloud AI Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe Cloud AI Sales Value, 2020-2031
6.4.2 Europe Cloud AI Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe Cloud AI Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China Cloud AI Sales Value, 2020-2031
6.5.2 China Cloud AI Sales Value by Type (%), 2024 VS 2031
6.5.3 China Cloud AI Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan Cloud AI Sales Value, 2020-2031
6.6.2 Japan Cloud AI Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan Cloud AI Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Cloud AI Sales Value, 2020-2031
6.7.2 South Korea Cloud AI Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea Cloud AI Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Cloud AI Sales Value, 2020-2031
6.8.2 Southeast Asia Cloud AI Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia Cloud AI Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India Cloud AI Sales Value, 2020-2031
6.9.2 India Cloud AI Sales Value by Type (%), 2024 VS 2031
6.9.3 India Cloud AI Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 Oracle Corporation
7.1.1 Oracle Corporation Profile
7.1.2 Oracle Corporation Main Business
7.1.3 Oracle Corporation Cloud AI Products, Services and Solutions
7.1.4 Oracle Corporation Cloud AI Revenue (US$ Million) & (2020-2025)
7.1.5 Oracle Corporation Recent Developments
7.2 Microsoft Corporation
7.2.1 Microsoft Corporation Profile
7.2.2 Microsoft Corporation Main Business
7.2.3 Microsoft Corporation Cloud AI Products, Services and Solutions
7.2.4 Microsoft Corporation Cloud AI Revenue (US$ Million) & (2020-2025)
7.2.5 Microsoft Corporation Recent Developments
7.3 IBM
7.3.1 IBM Profile
7.3.2 IBM Main Business
7.3.3 IBM Cloud AI Products, Services and Solutions
7.3.4 IBM Cloud AI Revenue (US$ Million) & (2020-2025)
7.3.5 IBM Recent Developments
7.4 Google
7.4.1 Google Profile
7.4.2 Google Main Business
7.4.3 Google Cloud AI Products, Services and Solutions
7.4.4 Google Cloud AI Revenue (US$ Million) & (2020-2025)
7.4.5 Google Recent Developments
7.5 Infosys Limited
7.5.1 Infosys Limited Profile
7.5.2 Infosys Limited Main Business
7.5.3 Infosys Limited Cloud AI Products, Services and Solutions
7.5.4 Infosys Limited Cloud AI Revenue (US$ Million) & (2020-2025)
7.5.5 Infosys Limited Recent Developments
7.6 Amazon Web Services
7.6.1 Amazon Web Services Profile
7.6.2 Amazon Web Services Main Business
7.6.3 Amazon Web Services Cloud AI Products, Services and Solutions
7.6.4 Amazon Web Services Cloud AI Revenue (US$ Million) & (2020-2025)
7.6.5 Amazon Web Services Recent Developments
7.7 Wipro Limited
7.7.1 Wipro Limited Profile
7.7.2 Wipro Limited Main Business
7.7.3 Wipro Limited Cloud AI Products, Services and Solutions
7.7.4 Wipro Limited Cloud AI Revenue (US$ Million) & (2020-2025)
7.7.5 Wipro Limited Recent Developments
7.8 Baidu Inc.
7.8.1 Baidu Inc. Profile
7.8.2 Baidu Inc. Main Business
7.8.3 Baidu Inc. Cloud AI Products, Services and Solutions
7.8.4 Baidu Inc. Cloud AI Revenue (US$ Million) & (2020-2025)
7.8.5 Baidu Inc. Recent Developments
7.9 Informatica
7.9.1 Informatica Profile
7.9.2 Informatica Main Business
7.9.3 Informatica Cloud AI Products, Services and Solutions
7.9.4 Informatica Cloud AI Revenue (US$ Million) & (2020-2025)
7.9.5 Informatica Recent Developments
7.10 Nuance Communications
7.10.1 Nuance Communications Profile
7.10.2 Nuance Communications Main Business
7.10.3 Nuance Communications Cloud AI Products, Services and Solutions
7.10.4 Nuance Communications Cloud AI Revenue (US$ Million) & (2020-2025)
7.10.5 Nuance Communications Recent Developments
7.11 iFLYTEK
7.11.1 iFLYTEK Profile
7.11.2 iFLYTEK Main Business
7.11.3 iFLYTEK Cloud AI Products, Services and Solutions
7.11.4 iFLYTEK Cloud AI Revenue (US$ Million) & (2020-2025)
7.11.5 iFLYTEK Recent Developments
7.12 Salesforce
7.12.1 Salesforce Profile
7.12.2 Salesforce Main Business
7.12.3 Salesforce Cloud AI Products, Services and Solutions
7.12.4 Salesforce Cloud AI Revenue (US$ Million) & (2020-2025)
7.12.5 Salesforce Recent Developments
7.13 ZTE Corporation
7.13.1 ZTE Corporation Profile
7.13.2 ZTE Corporation Main Business
7.13.3 ZTE Corporation Cloud AI Products, Services and Solutions
7.13.4 ZTE Corporation Cloud AI Revenue (US$ Million) & (2020-2025)
7.13.5 ZTE Corporation Recent Developments
7.14 H2O.ai
7.14.1 H2O.ai Profile
7.14.2 H2O.ai Main Business
7.14.3 H2O.ai Cloud AI Products, Services and Solutions
7.14.4 H2O.ai Cloud AI Revenue (US$ Million) & (2020-2025)
7.14.5 H2O.ai Recent Developments
8 Industry Chain Analysis
8.1 Cloud AI Industrial Chain
8.2 Cloud AI Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Cloud AI Sales Model
8.5.2 Sales Channel
8.5.3 Cloud AI Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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