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Global (United States, European Union and China) Machine Learning as a Service Market Research Report 2018-2025

Published Date: 2018-11-02   |   Pages: 102   |   Tables: 111   | Report Id: 850390   | Hits: 198 |   Service & Software



Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed.

In 2017, the global Machine Learning as a Service market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2018-2025.

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 United States, Europe and China.

The key players covered in this study

Amazon

Oracle Corporation

IBM

Microsoft Corporation

Google Inc.

Salesforce.Com

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

United States

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 United States, Europe and China.

To strategically profile the key players and comprehensively analyze their development plan and strategies.

To define, describe and forecast the market by product 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: 2013-2017

Base Year: 2017

Estimated Year: 2018

Forecast Year 2018 to 2025

For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

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