Report overview
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)
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. This report contains market size and forecasts of Cloud AI Developer Services in global, including the following market information:
Global Cloud AI Developer Services Market Revenue, 2018-2023, 2024-2030, ($ millions)
Global top five companies in 2022 (%)
The global Cloud AI Developer Services market was valued at US$ million in 2022 and is projected to reach US$ million by 2030, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Image Recognition Segment to Reach $ Million by 2030, with a % CAGR in next six years.
The global key manufacturers of Cloud AI Developer Services include Aible, Alibaba (Alibaba Cloud), Amazon (AWS), Dataiku, DataRobot, Google, H2O.ai, HUAWEI and IBM, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Cloud AI Developer Services companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Cloud AI Developer Services Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global Cloud AI Developer Services Market Segment Percentages, by Type, 2022 (%)
Image Recognition
Language Recognition
Automated Machine Learning (AutoML)
Global Cloud AI Developer Services Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global Cloud AI Developer Services Market Segment Percentages, by Application, 2022 (%)
SMEs
Large Enterprises
Global Cloud AI Developer Services Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global Cloud AI Developer Services Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Cloud AI Developer Services revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Cloud AI Developer Services revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Aible
Alibaba (Alibaba Cloud)
Amazon (AWS)
Dataiku
DataRobot
Google
H2O.ai
HUAWEI
IBM
Microsoft
Prevision.io
Salesforce
SAP
Tencent
Outline of Major Chapters:
Chapter 1: Introduces the definition of Cloud AI Developer Services, market overview.
Chapter 2: Global Cloud AI Developer Services market size in revenue.
Chapter 3: Detailed analysis of Cloud AI Developer Services company competitive landscape, revenue and 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: Sales of Cloud AI Developer Services in regional level and country 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 of each country in the world.
Chapter 7: 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 8: The main points and conclusions of the report.
