Machine Learning as a Service Market 2017 Global Analysis, Opportunities and Forecast to 2022

Pune India - July 27, 2017 /MarketersMedia/ —

Global Machine Learning as a Service Market

This report studies The Global Machine Learning As A Service Market, analyzes and researches the Machine Learning as a Service development status and forecast in United States, EU, Japan, China, India and Southeast Asia. This report focuses on the top players in global market, like 
Google 
IBM Corporation 
Microsoft Corporation 
Amazon Web Services 
BigML 
FICO 
Yottamine Analytics 
Ersatz Labs 
Predictron Labs 
H2O.ai 
AT&T 
Sift Science

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Market segment by Regions/Countries, this report covers 
United States 
EU 
Japan 
China 
India 
Southeast Asia

Market segment by Type, Machine Learning as a Service can be split into 
Software Tools 
Cloud and Web-based Application Programming Interface (APIs) 
Other

Market segment by Application, Machine Learning as a Service can be split into 
Manufacturing 
Retail 
Healthcare & Life Sciences 
Telecom 
BFSI 
Other (Energy & Utilities, Education, Government)

Table of Contents-Key Points Covered

Global Machine Learning as a Service Market Size, Status and Forecast 2022 
1 Industry Overview of Machine Learning as a Service 
1.1 Machine Learning as a Service Market Overview 
1.1.1 Machine Learning as a Service Product Scope 
1.1.2 Market Status and Outlook 
1.2 Global Machine Learning as a Service Market Size and Analysis by Regions 
1.2.1 United States 
1.2.2 EU 
1.2.3 Japan 
1.2.4 China 
1.2.5 India 
1.2.6 Southeast Asia 
1.3 Machine Learning as a Service Market by Type 
1.3.1 Software Tools 
1.3.2 Cloud and Web-based Application Programming Interface (APIs) 
1.3.3 Other 
1.4 Machine Learning as a Service Market by End Users/Application 
1.4.1 Manufacturing 
1.4.2 Retail 
1.4.3 Healthcare & Life Sciences 
1.4.4 Telecom 
1.4.5 BFSI 
1.4.6 Other (Energy & Utilities, Education, Government)

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 2 Global Machine Learning as a Service Competition Analysis by Players 
2.1 Machine Learning as a Service Market Size (Value) by Players (2016 and 2017) 
2.2 Competitive Status and Trend 
2.2.1 Market Concentration Rate 
2.2.2 Product/Service Differences 
2.2.3 New Entrants 
2.2.4 The Technology Trends in Future

3 Company (Top Players) Profiles 
3.1 Google 
3.1.1 Company Profile 
3.1.2 Main Business/Business Overview 
3.1.3 Products, Services and Solutions 
3.1.4 Machine Learning as a Service Revenue (Value) (2012-2017) 
3.1.5 Recent Developments 
3.2 IBM Corporation 
3.2.1 Company Profile 
3.2.2 Main Business/Business Overview 
3.2.3 Products, Services and Solutions 
3.2.4 Machine Learning as a Service Revenue (Value) (2012-2017) 
3.2.5 Recent Developments 
3.3 Microsoft Corporation 
3.3.1 Company Profile 
3.3.2 Main Business/Business Overview 
3.3.3 Products, Services and Solutions 
3.3.4 Machine Learning as a Service Revenue (Value) (2012-2017) 
3.3.5 Recent Developments 
3.4 Amazon Web Services 
3.4.1 Company Profile 
3.4.2 Main Business/Business Overview 
3.4.3 Products, Services and Solutions 
3.4.4 Machine Learning as a Service Revenue (Value) (2012-2017) 
3.4.5 Recent Developments 
3.5 BigML 
3.5.1 Company Profile 
3.5.2 Main Business/Business Overview 
3.5.3 Products, Services and Solutions 
3.5.4 Machine Learning as a Service Revenue (Value) (2012-2017) 
3.5.5 Recent Developments 
3.6 FICO 
3.6.1 Company Profile 
3.6.2 Main Business/Business Overview 
3.6.3 Products, Services and Solutions 
3.6.4 Machine Learning as a Service Revenue (Value) (2012-2017) 
3.6.5 Recent Developments 
3.7 Yottamine Analytics 
3.7.1 Company Profile 
3.7.2 Main Business/Business Overview 
3.7.3 Products, Services and Solutions 
3.7.4 Machine Learning as a Service Revenue (Value) (2012-2017) 
3.7.5 Recent Developments 
3.8 Ersatz Labs 
3.8.1 Company Profile 
3.8.2 Main Business/Business Overview 
3.8.3 Products, Services and Solutions 
3.8.4 Machine Learning as a Service Revenue (Value) (2012-2017) 
3.8.5 Recent Developments 
3.9 Predictron Labs 
3.9.1 Company Profile 
3.9.2 Main Business/Business Overview 
3.9.3 Products, Services and Solutions 
3.9.4 Machine Learning as a Service Revenue (Value) (2012-2017) 
3.9.5 Recent Developments 
3.10 H2O.ai 
3.10.1 Company Profile 
3.10.2 Main Business/Business Overview 
3.10.3 Products, Services and Solutions 
3.10.4 Machine Learning as a Service Revenue (Value) (2012-2017) 
3.10.5 Recent Developments 
3.11 AT&T 
3.12 Sift Science

Continued…….

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