Reports

Global Cloud Machine Learning Market Size, Status and Forecast 2018-2025

Id : 3848 Category : BBC Date : November 2018 Format : PDF Pages : 102
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 Cloud Machine Learning 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 Cloud Machine Learning status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Cloud Machine Learning 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 Cloud Machine Learning status, future forecast, growth opportunity, key market and key players.

    To present the Cloud Machine Learning 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 Cloud Machine Learning 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.