Global Machine Learning as a Service Market Size, Status and Forecast 2020-2026
SKU ID : QYR-15324973 | Publishing Date : 21-Feb-2020 | No. of pages : 134
Market Analysis and Insights: Global Machine Learning as a Service Market
In 2019, the global Machine Learning as a Service market size was US$ 1715.2 million and it is expected to reach US$ 6871.1 million by the end of 2026, with a CAGR of 21.8% during 2021-2026.
Global Machine Learning as a Service Scope and Market Size
Machine Learning as a Service market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Machine Learning as a Service 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 2015-2026.
Segment by Type, the Machine Learning as a Service market is segmented into Private clouds, Public clouds, Hybrid cloud, etc.
Segment by Application, the Machine Learning as a Service market is segmented into Personal, Business, etc.
Regional and Country-level Analysis
The Machine Learning as a Service market is analysed and market size information is provided by regions (countries).
The key regions covered in the Machine Learning as a Service market report are North America, Europe, China, Japan, Southeast Asia, India and Central & South America, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by Type, and by Application segment in terms of revenue for the period 2015-2026.
Competitive Landscape
and Machine Learning as a Service Market Share AnalysisMachine Learning as a Service market competitive landscape provides details and data information by vendors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on revenue (global and regional level) by player for the period 2015-2020. Details included are company description, major business, company total revenue and the revenue generated in Machine Learning as a Service business, the date to enter into the Machine Learning as a Service market, Machine Learning as a Service product introduction, recent developments, etc.
The major vendors include Amazon, Oracle, IBM, Microsoftn, Google, Salesforce, Tencent, Alibaba, UCloud, Baidu, Rackspace, SAP AG, Century Link Inc., CSC (Computer Science Corporation), Heroku, Clustrix, Xeround, etc.
This report focuses on the global Machine Learning as a Service status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Machine Learning as a Service development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
The key players covered in this study
Amazon
Oracle
IBM
Microsoftn
Salesforce
Tencent
Alibaba
UCloud
Baidu
Rackspace
SAP AG
Century Link Inc.
CSC (Computer Science Corporation)
Heroku
Clustrix
Xeround
Market segment by Type, the product can be split into
Private clouds
Public clouds
Hybrid cloud
Market segment by Application, split into
Personal
Business
Market segment by Regions/Countries, this report covers
North America
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Machine Learning as a Service status, future forecast, growth opportunity, key market and key players.
To present the Machine Learning as a Service development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by type, market and key regions.
In this study, the years considered to estimate the market size of Machine Learning as a Service are as follows:
History Year: 2015-2019
Base Year:
2019Estimated Year:
2020Forecast Year 2020 to 2026
For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Frequently Asked Questions
- By product type
- By End User/Applications
- By Technology
- By Region