Global Machine Learning as a Service Market 2022: Size, Share, Status and Forecast

“The Latest Research Report Global Machine Learning as a Service Market Size, Status and Forecast 2022 provides information on pricing, market analysis, shares, forecast, and company profiles for key industry participants. – MarketResearchReports.biz”

About 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)

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Table of Contents

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

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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)

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

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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

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