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)

Market Analysis and Insights: Global Cloud AI Developer Services Market
In 2021, the global Cloud AI Developer Services market size will be US$ million and it is expected to reach US$ million by the end of 2027, with a CAGR of % during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Cloud AI Developer Services market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Cloud AI Developer Services market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Cloud AI Developer Services market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Cloud AI Developer Services market.

Global Cloud AI Developer Services Scope and Market Size
Cloud AI Developer Services market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Cloud AI Developer Services market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
Image Recognition
Language Recognition
Automated Machine Learning (AutoML)

Segment by Application
SMEs
Large Enterprises

By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

By Company
Aible
Alibaba (Alibaba Cloud)
Amazon (AWS)
Dataiku
DataRobot
Google
H2O.ai
HUAWEI
IBM
Microsoft
Prevision.io
Salesforce
SAP
Tencent