Industry: Service & Software
Published Date: 2024-04-03
Pages: 125 Pages
Report ld: 2671734
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Cloud-Based Generative AI Service is a digital platform or solution that harnesses the power of generative artificial intelligence algorithms and models, all hosted on remote cloud infrastructure. This innovative service empowers users to tap into advanced generative AI capabilities seamlessly through internet access, eliminating the necessity for complex software installations or hefty computational resources on local devices. This streamlined approach enables individuals and organizations to leverage cutting-edge generative AI functionalities effortlessly, unlocking boundless creative potential and driving transformative outcomes across diverse domains and industries.
The global market for Cloud-Based Generative AI Service was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of %during the forecast period 2024-2030.
North American market for Cloud-Based Generative AI Service was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Cloud-Based Generative AI Service was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Cloud-Based Generative AI Service was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Cloud-Based Generative AI Service include Google Cloud AI Platform, AWS AI Services, Microsoft Azure AI, IBM Watson, NVIDIA, Intel AI, Salesforce Einstein, Oracle AI and Data Science, SAP Leonardo, Adobe Sensei, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
The Cloud-Based Generative AI Service market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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-Based Generative AI Service.
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-Based Generative AI Service 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-Based Generative AI Service 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-Based Generative AI Service 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-Based Generative AI Service Product Introduction
1.2 Global Cloud-Based Generative AI Service Market Size Forecast (2019-2030)
1.3 Cloud-Based Generative AI Service Market Trends & Drivers
1.3.1 Cloud-Based Generative AI Service Industry Trends
1.3.2 Cloud-Based Generative AI Service Market Drivers & Opportunity
1.3.3 Cloud-Based Generative AI Service Market Challenges
1.3.4 Cloud-Based Generative AI Service Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Cloud-Based Generative AI Service Players Revenue Ranking (2023)
2.2 Global Cloud-Based Generative AI Service Revenue by Company (2019-2024)
2.3 Key Companies Cloud-Based Generative AI Service Manufacturing Base Distribution and Headquarters
2.4 Key Companies Cloud-Based Generative AI Service Product Offered
2.5 Key Companies Time to Begin Mass Production of Cloud-Based Generative AI Service
2.6 Cloud-Based Generative AI Service Market Competitive Analysis
2.6.1 Cloud-Based Generative AI Service Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Cloud-Based Generative AI Service Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Cloud-Based Generative AI Service as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Public Cloud
3.1.2 Private Cloud
3.1.3 Hybrid Cloud
3.2 Global Cloud-Based Generative AI Service Sales Value by Type
3.2.1 Global Cloud-Based Generative AI Service Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Cloud-Based Generative AI Service Sales Value, by Type (2019-2030)
3.2.3 Global Cloud-Based Generative AI Service Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Content Generation
4.1.2 Natural Language Processing (NLP)
4.1.3 Gaming and Entertainment
4.1.4 Finance and Trading
4.1.5 Manufacturing and Engineering
4.1.6 Others
4.2 Global Cloud-Based Generative AI Service Sales Value by Application
4.2.1 Global Cloud-Based Generative AI Service Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Cloud-Based Generative AI Service Sales Value, by Application (2019-2030)
4.2.3 Global Cloud-Based Generative AI Service Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Cloud-Based Generative AI Service Sales Value by Region
5.1.1 Global Cloud-Based Generative AI Service Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Cloud-Based Generative AI Service Sales Value by Region (2019-2024)
5.1.3 Global Cloud-Based Generative AI Service Sales Value by Region (2025-2030)
5.1.4 Global Cloud-Based Generative AI Service Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Cloud-Based Generative AI Service Sales Value, 2019-2030
5.2.2 North America Cloud-Based Generative AI Service Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Cloud-Based Generative AI Service Sales Value, 2019-2030
5.3.2 Europe Cloud-Based Generative AI Service Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Cloud-Based Generative AI Service Sales Value, 2019-2030
5.4.2 Asia Pacific Cloud-Based Generative AI Service Sales Value by Region (%), 2023 VS 2030
5.5 South America
5.5.1 South America Cloud-Based Generative AI Service Sales Value, 2019-2030
5.5.2 South America Cloud-Based Generative AI Service Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Cloud-Based Generative AI Service Sales Value, 2019-2030
5.6.2 Middle East & Africa Cloud-Based Generative AI Service Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Cloud-Based Generative AI Service Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Cloud-Based Generative AI Service Sales Value, 2019-2030
6.3 United States
6.3.1 United States Cloud-Based Generative AI Service Sales Value, 2019-2030
6.3.2 United States Cloud-Based Generative AI Service Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Cloud-Based Generative AI Service Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Cloud-Based Generative AI Service Sales Value, 2019-2030
6.4.2 Europe Cloud-Based Generative AI Service Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Cloud-Based Generative AI Service Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Cloud-Based Generative AI Service Sales Value, 2019-2030
6.5.2 China Cloud-Based Generative AI Service Sales Value by Type (%), 2023 VS 2030
6.5.3 China Cloud-Based Generative AI Service Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Cloud-Based Generative AI Service Sales Value, 2019-2030
6.6.2 Japan Cloud-Based Generative AI Service Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Cloud-Based Generative AI Service Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Cloud-Based Generative AI Service Sales Value, 2019-2030
6.7.2 South Korea Cloud-Based Generative AI Service Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Cloud-Based Generative AI Service Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Cloud-Based Generative AI Service Sales Value, 2019-2030
6.8.2 Southeast Asia Cloud-Based Generative AI Service Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Cloud-Based Generative AI Service Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Cloud-Based Generative AI Service Sales Value, 2019-2030
6.9.2 India Cloud-Based Generative AI Service Sales Value by Type (%), 2023 VS 2030
6.9.3 India Cloud-Based Generative AI Service Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Google Cloud AI Platform
7.1.1 Google Cloud AI Platform Profile
7.1.2 Google Cloud AI Platform Main Business
7.1.3 Google Cloud AI Platform Cloud-Based Generative AI Service Products, Services and Solutions
7.1.4 Google Cloud AI Platform Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.1.5 Google Cloud AI Platform Recent Developments
7.2 AWS AI Services
7.2.1 AWS AI Services Profile
7.2.2 AWS AI Services Main Business
7.2.3 AWS AI Services Cloud-Based Generative AI Service Products, Services and Solutions
7.2.4 AWS AI Services Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.2.5 AWS AI Services Recent Developments
7.3 Microsoft Azure AI
7.3.1 Microsoft Azure AI Profile
7.3.2 Microsoft Azure AI Main Business
7.3.3 Microsoft Azure AI Cloud-Based Generative AI Service Products, Services and Solutions
7.3.4 Microsoft Azure AI Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.3.5 Microsoft Azure AI Recent Developments
7.4 IBM Watson
7.4.1 IBM Watson Profile
7.4.2 IBM Watson Main Business
7.4.3 IBM Watson Cloud-Based Generative AI Service Products, Services and Solutions
7.4.4 IBM Watson Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Watson Recent Developments
7.5 NVIDIA
7.5.1 NVIDIA Profile
7.5.2 NVIDIA Main Business
7.5.3 NVIDIA Cloud-Based Generative AI Service Products, Services and Solutions
7.5.4 NVIDIA Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.5.5 NVIDIA Recent Developments
7.6 Intel AI
7.6.1 Intel AI Profile
7.6.2 Intel AI Main Business
7.6.3 Intel AI Cloud-Based Generative AI Service Products, Services and Solutions
7.6.4 Intel AI Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.6.5 Intel AI Recent Developments
7.7 Salesforce Einstein
7.7.1 Salesforce Einstein Profile
7.7.2 Salesforce Einstein Main Business
7.7.3 Salesforce Einstein Cloud-Based Generative AI Service Products, Services and Solutions
7.7.4 Salesforce Einstein Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.7.5 Salesforce Einstein Recent Developments
7.8 Oracle AI and Data Science
7.8.1 Oracle AI and Data Science Profile
7.8.2 Oracle AI and Data Science Main Business
7.8.3 Oracle AI and Data Science Cloud-Based Generative AI Service Products, Services and Solutions
7.8.4 Oracle AI and Data Science Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.8.5 Oracle AI and Data Science Recent Developments
7.9 SAP Leonardo
7.9.1 SAP Leonardo Profile
7.9.2 SAP Leonardo Main Business
7.9.3 SAP Leonardo Cloud-Based Generative AI Service Products, Services and Solutions
7.9.4 SAP Leonardo Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.9.5 SAP Leonardo Recent Developments
7.10 Adobe Sensei
7.10.1 Adobe Sensei Profile
7.10.2 Adobe Sensei Main Business
7.10.3 Adobe Sensei Cloud-Based Generative AI Service Products, Services and Solutions
7.10.4 Adobe Sensei Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.10.5 Adobe Sensei Recent Developments
7.11 Baidu AI Cloud
7.11.1 Baidu AI Cloud Profile
7.11.2 Baidu AI Cloud Main Business
7.11.3 Baidu AI Cloud Cloud-Based Generative AI Service Products, Services and Solutions
7.11.4 Baidu AI Cloud Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.11.5 Baidu AI Cloud Recent Developments
7.12 Alibaba Cloud AI
7.12.1 Alibaba Cloud AI Profile
7.12.2 Alibaba Cloud AI Main Business
7.12.3 Alibaba Cloud AI Cloud-Based Generative AI Service Products, Services and Solutions
7.12.4 Alibaba Cloud AI Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.12.5 Alibaba Cloud AI Recent Developments
7.13 Tencent Cloud AI
7.13.1 Tencent Cloud AI Profile
7.13.2 Tencent Cloud AI Main Business
7.13.3 Tencent Cloud AI Cloud-Based Generative AI Service Products, Services and Solutions
7.13.4 Tencent Cloud AI Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.13.5 Tencent Cloud AI Recent Developments
7.14 Huawei Cloud
7.14.1 Huawei Cloud Profile
7.14.2 Huawei Cloud Main Business
7.14.3 Huawei Cloud Cloud-Based Generative AI Service Products, Services and Solutions
7.14.4 Huawei Cloud Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.14.5 Huawei Cloud Recent Developments
7.15 Dell EMC AI Solutions
7.15.1 Dell EMC AI Solutions Profile
7.15.2 Dell EMC AI Solutions Main Business
7.15.3 Dell EMC AI Solutions Cloud-Based Generative AI Service Products, Services and Solutions
7.15.4 Dell EMC AI Solutions Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.15.5 Dell EMC AI Solutions Recent Developments
7.16 Cisco AI/ML Solutions
7.16.1 Cisco AI/ML Solutions Profile
7.16.2 Cisco AI/ML Solutions Main Business
7.16.3 Cisco AI/ML Solutions Cloud-Based Generative AI Service Products, Services and Solutions
7.16.4 Cisco AI/ML Solutions Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.16.5 Cisco AI/ML Solutions Recent Developments
7.17 HPE AI/ML Solutions
7.17.1 HPE AI/ML Solutions Profile
7.17.2 HPE AI/ML Solutions Main Business
7.17.3 HPE AI/ML Solutions Cloud-Based Generative AI Service Products, Services and Solutions
7.17.4 HPE AI/ML Solutions Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.17.5 HPE AI/ML Solutions Recent Developments
7.18 Accenture Applied Intelligence
7.18.1 Accenture Applied Intelligence Profile
7.18.2 Accenture Applied Intelligence Main Business
7.18.3 Accenture Applied Intelligence Cloud-Based Generative AI Service Products, Services and Solutions
7.18.4 Accenture Applied Intelligence Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.18.5 Accenture Applied Intelligence Recent Developments
7.19 Cognizant AI & Analytics
7.19.1 Cognizant AI & Analytics Profile
7.19.2 Cognizant AI & Analytics Main Business
7.19.3 Cognizant AI & Analytics Cloud-Based Generative AI Service Products, Services and Solutions
7.19.4 Cognizant AI & Analytics Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.19.5 Cognizant AI & Analytics Recent Developments
7.20 Infosys AI & Automation Services
7.20.1 Infosys AI & Automation Services Profile
7.20.2 Infosys AI & Automation Services Main Business
7.20.3 Infosys AI & Automation Services Cloud-Based Generative AI Service Products, Services and Solutions
7.20.4 Infosys AI & Automation Services Cloud-Based Generative AI Service Revenue (US$ Million) & (2019-2024)
7.20.5 Infosys AI & Automation Services Recent Developments
8 Industry Chain Analysis
8.1 Cloud-Based Generative AI Service Industrial Chain
8.2 Cloud-Based Generative AI Service 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-Based Generative AI Service Sales Model
8.5.2 Sales Channel
8.5.3 Cloud-Based Generative AI Service 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
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