The global Machine Learning as a Service (MLaaS) market is segmented based on crucial industry parameters, in order to compile a holistic market overview. The report includes exhaustive market information on the recent technology, solutions, developments and future threats in this market. The information thus presented is then interspersed with relevant graphs and tables to support the data revealed.
Brooklyn, NY -- (SBWIRE) -- 01/06/2017 -- The cumulative effect of diverse factors has been responsible behind the stability of the global Machine Learning as a Service (MLaaS) market. While there are a few factors creating hindrances for the market, overall the stability is expected to remain intact through the course of the forecast period between 2016 and 2021. The report offers a granular analysis of the various factors influencing the global Machine Learning as a Service (MLaaS) market's trajectory. Those imposing negative impacts while those encouraging its growth is studied in great detail. Besides this, the report also presents insights into the market's competitive landscape, to help stakeholders have a better perspective about the prevailing vendor landscape.
This report studies Machine Learning as a Service (MLaaS) in Global market, especially in North America, Europe, China, Japan, Southeast Asia and India, focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering
Microsoft
IBM
Amazon Web Services
Google
BigML
AT&T
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The report therefore comes along with a long list of graphs and figures logically compiled to provide an executive-level blueprint of the global Machine Learning as a Service (MLaaS) market. In addition, chapters are dedicated to gauge the impact of the Porter's five forces on the operations of the market. The analysis has provided insights into the bargaining power of the suppliers, buyers, the competitive rivalry, and threat from new entrants and substitutes.
In the end, the report profiles some of the leading players operating in the market to present an in-depth overview of the Machine Learning as a Service (MLaaS) market's vendor landscape. SWOT analysis is conducted on the companies profiled to study their strengths and weaknesses. The analysis has also helped the report get relevant data pertaining to the opportunities and threats that these companies are slated to face over the course of the aforementioned forecast period.
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Table of Contents
Global Machine Learning as a Service (MLaaS) Market Research Report 2016
1 Machine Learning as a Service (MLaaS) Market Overview
1.1 Product Overview and Scope of Machine Learning as a Service (MLaaS)
1.2 Machine Learning as a Service (MLaaS) Segment by Type
1.2.1 Global Production Market Share of Machine Learning as a Service (MLaaS) by Type in 2015
1.2.2 Software Tools
1.2.3 Cloud and Web-based Application Programming Interface (APIs)
1.2.4 Others
1.3 Machine Learning as a Service (MLaaS) Segment by Application
1.3.1 Machine Learning as a Service (MLaaS) Consumption Market Share by Application in 2015
1.3.2 Marketing and Advertising
1.3.3 Risk Analytics and Fraud Detection
1.3.4 Predictive Maintenance
1.3.5 Augmented Reality
1.3.6 Others
1.4 Machine Learning as a Service (MLaaS) Market by Region
1.4.1 North America Status and Prospect (2011-2021)
1.4.2 Europe Status and Prospect (2011-2021)
1.4.3 China Status and Prospect (2011-2021)
1.4.4 Japan Status and Prospect (2011-2021)
1.4.5 Southeast Asia Status and Prospect (2011-2021)
1.4.6 India Status and Prospect (2011-2021)
1.5 Global Market Size (Value) of Machine Learning as a Service (MLaaS) (2011-2021)
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