Global AI Platforms Software Market Insights, Forecast to 2028

SKU ID : QYR-20227655 | Publishing Date : 15-Feb-2022 | No. of pages : 114

Artificial intelligence (AI) platforms provide users a tool kit to build intelligent applications. These platforms combine intelligent, decision-making algorithms with data, which enables developers to create a business solution.
Market Analysis and Insights: Global AI Platforms Software Market
The global AI Platforms Software market size is projected to reach US$ million by 2028, from US$ million in 2021, at a CAGR of % during 2022-2028.
Fully considering the economic change by this health crisis, On-Premises accounting for % of the AI Platforms Software global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR in the post-COVID-19 period. While Large Enterprised segment is altered to an % CAGR throughout this forecast period.
China AI Platforms Software market size is valued at US$ million in 2021, while the North America and Europe AI Platforms Software are US$ million and US$ million, severally. The proportion of the North America is % in 2021, while China and Europe are % and % respectively, and it is predicted that China proportion will reach % in 2028, trailing a CAGR of % through the analysis period. Japan, South Korea, and Southeast Asia are noteworthy markets in Asia, with CAGR %, %, and % respectively for the next 6-year period. As for the Europe AI Platforms Software landscape, Germany is projected to reach US$ million by 2028 trailing a CAGR of % over the forecast period.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global AI Platforms Software 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 AI Platforms Software market in terms of revenue.
Overall, 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 AI Platforms Software 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 AI Platforms Software market.
Global AI Platforms Software Scope and Market Size
AI Platforms Software market is segmented by players, region (country), by Type and by Application. Players, stakeholders, and other participants in the global AI Platforms Software 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 for the period 2017-2028.
Segment by Type
On-Premises
Cloud Based
Segment by Application
Large Enterprised
SMEs
By Company
Microsoft
Google
IBM
Baidu
SAP
Salesforce
Brighterion
IFlyTek
Megvii Technology
H2O.ai
Wipro
Albert Technologies
NanoRep(LogMeIn)
Brainasoft
Ada Support
Yseop
IDEAL.com
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
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

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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