Industry: Service & Software
Published Date: 2024-01-12
Pages: 80 Pages
Report ld: 2201714
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Cloud AI Developer Services are cloud-hosted services/models that allow development teams to leverage AI models via APIs without requiring deep data science expertise. These hosted models deliver services with capabilities in language, vision and automated machine learning. These services are often available via API access and are typically priced based on the number of API calls. In some cases, services are usable via integrated configuration tools. Examples of these services include natural language understanding, sentiment analysis, image recognition and machine learning model creation. (Gartner)
The global Cloud AI Developer Services market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % 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 1/99 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for Cloud AI Developer Services, 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 Developer Services.
MARKET SEGMENTATION
REPORT SCOPE
The Cloud AI Developer Services 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 Cloud AI Developer Services 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 Cloud AI Developer Services 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.
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 Cloud AI Developer Services 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.
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 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Cloud AI Developer Services Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Image Recognition
1.2.3 Language Recognition
1.2.4 Automated Machine Learning (AutoML)
1.3 Market by Application
1.3.1 Global Cloud AI Developer Services Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 SMEs
1.3.3 Large Enterprises
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Cloud AI Developer Services Market Perspective (2019-2030)
2.2 Cloud AI Developer Services Growth Trends by Region
2.2.1 Global Cloud AI Developer Services Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Cloud AI Developer Services Historic Market Size by Region (2019-2024)
2.2.3 Cloud AI Developer Services Forecasted Market Size by Region (2025-2030)
2.3 Cloud AI Developer Services Market Dynamics
2.3.1 Cloud AI Developer Services Industry Trends
2.3.2 Cloud AI Developer Services Market Drivers
2.3.3 Cloud AI Developer Services Market Challenges
2.3.4 Cloud AI Developer Services Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Cloud AI Developer Services Players by Revenue
3.1.1 Global Top Cloud AI Developer Services Players by Revenue (2019-2024)
3.1.2 Global Cloud AI Developer Services Revenue Market Share by Players (2019-2024)
3.2 Global Cloud AI Developer Services Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Cloud AI Developer Services Revenue
3.4 Global Cloud AI Developer Services Market Concentration Ratio
3.4.1 Global Cloud AI Developer Services Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Cloud AI Developer Services Revenue in 2023
3.5 Cloud AI Developer Services Key Players Head office and Area Served
3.6 Key Players Cloud AI Developer Services Product Solution and Service
3.7 Date of Enter into Cloud AI Developer Services Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Cloud AI Developer Services Breakdown Data by Type
4.1 Global Cloud AI Developer Services Historic Market Size by Type (2019-2024)
4.2 Global Cloud AI Developer Services Forecasted Market Size by Type (2025-2030)
5 Cloud AI Developer Services Breakdown Data by Application
5.1 Global Cloud AI Developer Services Historic Market Size by Application (2019-2024)
5.2 Global Cloud AI Developer Services Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Cloud AI Developer Services Market Size (2019-2030)
6.2 North America Cloud AI Developer Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Cloud AI Developer Services Market Size by Country (2019-2024)
6.4 North America Cloud AI Developer Services Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Cloud AI Developer Services Market Size (2019-2030)
7.2 Europe Cloud AI Developer Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Cloud AI Developer Services Market Size by Country (2019-2024)
7.4 Europe Cloud AI Developer Services 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 Cloud AI Developer Services Market Size (2019-2030)
8.2 Asia-Pacific Cloud AI Developer Services Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Cloud AI Developer Services Market Size by Region (2019-2024)
8.4 Asia-Pacific Cloud AI Developer Services 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 Cloud AI Developer Services Market Size (2019-2030)
9.2 Latin America Cloud AI Developer Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Cloud AI Developer Services Market Size by Country (2019-2024)
9.4 Latin America Cloud AI Developer Services Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Cloud AI Developer Services Market Size (2019-2030)
10.2 Middle East & Africa Cloud AI Developer Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Cloud AI Developer Services Market Size by Country (2019-2024)
10.4 Middle East & Africa Cloud AI Developer Services Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Aible
11.1.1 Aible Company Detail
11.1.2 Aible Business Overview
11.1.3 Aible Cloud AI Developer Services Introduction
11.1.4 Aible Revenue in Cloud AI Developer Services Business (2019-2024)
11.1.5 Aible Recent Development
11.2 Alibaba (Alibaba Cloud)
11.2.1 Alibaba (Alibaba Cloud) Company Detail
11.2.2 Alibaba (Alibaba Cloud) Business Overview
11.2.3 Alibaba (Alibaba Cloud) Cloud AI Developer Services Introduction
11.2.4 Alibaba (Alibaba Cloud) Revenue in Cloud AI Developer Services Business (2019-2024)
11.2.5 Alibaba (Alibaba Cloud) Recent Development
11.3 Amazon (AWS)
11.3.1 Amazon (AWS) Company Detail
11.3.2 Amazon (AWS) Business Overview
11.3.3 Amazon (AWS) Cloud AI Developer Services Introduction
11.3.4 Amazon (AWS) Revenue in Cloud AI Developer Services Business (2019-2024)
11.3.5 Amazon (AWS) Recent Development
11.4 Dataiku
11.4.1 Dataiku Company Detail
11.4.2 Dataiku Business Overview
11.4.3 Dataiku Cloud AI Developer Services Introduction
11.4.4 Dataiku Revenue in Cloud AI Developer Services Business (2019-2024)
11.4.5 Dataiku Recent Development
11.5 DataRobot
11.5.1 DataRobot Company Detail
11.5.2 DataRobot Business Overview
11.5.3 DataRobot Cloud AI Developer Services Introduction
11.5.4 DataRobot Revenue in Cloud AI Developer Services Business (2019-2024)
11.5.5 DataRobot Recent Development
11.6 Google
11.6.1 Google Company Detail
11.6.2 Google Business Overview
11.6.3 Google Cloud AI Developer Services Introduction
11.6.4 Google Revenue in Cloud AI Developer Services Business (2019-2024)
11.6.5 Google Recent Development
11.7 H2O.ai
11.7.1 H2O.ai Company Detail
11.7.2 H2O.ai Business Overview
11.7.3 H2O.ai Cloud AI Developer Services Introduction
11.7.4 H2O.ai Revenue in Cloud AI Developer Services Business (2019-2024)
11.7.5 H2O.ai Recent Development
11.8 HUAWEI
11.8.1 HUAWEI Company Detail
11.8.2 HUAWEI Business Overview
11.8.3 HUAWEI Cloud AI Developer Services Introduction
11.8.4 HUAWEI Revenue in Cloud AI Developer Services Business (2019-2024)
11.8.5 HUAWEI Recent Development
11.9 IBM
11.9.1 IBM Company Detail
11.9.2 IBM Business Overview
11.9.3 IBM Cloud AI Developer Services Introduction
11.9.4 IBM Revenue in Cloud AI Developer Services Business (2019-2024)
11.9.5 IBM Recent Development
11.10 Microsoft
11.10.1 Microsoft Company Detail
11.10.2 Microsoft Business Overview
11.10.3 Microsoft Cloud AI Developer Services Introduction
11.10.4 Microsoft Revenue in Cloud AI Developer Services Business (2019-2024)
11.10.5 Microsoft Recent Development
11.11 Prevision.io
11.11.1 Prevision.io Company Detail
11.11.2 Prevision.io Business Overview
11.11.3 Prevision.io Cloud AI Developer Services Introduction
11.11.4 Prevision.io Revenue in Cloud AI Developer Services Business (2019-2024)
11.11.5 Prevision.io Recent Development
11.12 Salesforce
11.12.1 Salesforce Company Detail
11.12.2 Salesforce Business Overview
11.12.3 Salesforce Cloud AI Developer Services Introduction
11.12.4 Salesforce Revenue in Cloud AI Developer Services Business (2019-2024)
11.12.5 Salesforce Recent Development
11.13 SAP
11.13.1 SAP Company Detail
11.13.2 SAP Business Overview
11.13.3 SAP Cloud AI Developer Services Introduction
11.13.4 SAP Revenue in Cloud AI Developer Services Business (2019-2024)
11.13.5 SAP Recent Development
11.14 Tencent
11.14.1 Tencent Company Detail
11.14.2 Tencent Business Overview
11.14.3 Tencent Cloud AI Developer Services Introduction
11.14.4 Tencent Revenue in Cloud AI Developer Services Business (2019-2024)
11.14.5 Tencent 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
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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Cloud AI Developer Services are cloud-hosted services/models that allow development teams to leverage AI models via APIs without requiring deep data science expertise. These hosted models deliver services with capabilities in language, vision and automated machine learning. These services are often available via API access and are typically priced based on the number of API calls. In some cases, services are usable via integrated configuration tools. Examples of these services include natural language understanding, sentiment analysis, image recognition and machine learning model creation. (Gartner)
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
REPORT SCOPE
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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