Technology

Machine Learning as a Service Market Growing Tremendously by Key Drivers like Microsoft Corporation, Amazon Web Services, BigML, FICO, Yottamine

Press Release

Machine learning as a service Market incorporates a comprehensive range of services and solutions and techniques interrelated closely to artificial intelligence (AI), which performs statistical analysis of input data to understand its current or future relationship and performance. Machine learning makes use of massive amount of input data to deliver improved analytical output while optimizing workflow for varied industry verticals. Machine learning as a service (MLaaS) incorporates range of services that offer machine learning tools through cloud computing services.

The report evaluates the figures of the global Machine Learning as a Service market and offers consistent forecasts as to the market’s growth prospects in the forthcoming period. The historical development trail of the global Machine Learning as a Service market up to 2019 is scrutinized in the report, lending accurate support to the analysis and estimations presented in the report.

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This report studies the Machine Learning as a Service market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Machine Learning as a Service market by product type and applications/end industries.

Market Segment by Companies, this report covers: IBM Corporation, Microsoft Corporation, Amazon Web Services, BigML, FICO, Yottamine Analytics, Ersatz Labs, Predictron Labs, H2O.ai, AT&T, Sift Science

The global Machine Learning as a Service market is valued at million USD in 2018 and is expected to reach million USD by the end of 2024, growing at a CAGR of between 2019 and 2024.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Machine Learning as a Service.

Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.

 Market Segment by Regions, regional analysis covers

  • North America
  • Europe
  • Asia-Pacific
  • South America
  • Middle East and Africa

Market Segment by Type, covers

  • Software Tools
  • Cloud and Web-based Application Programming Interface (APIs)
  • Other

Market Segment by Applications, can be divided into

  • Manufacturing
  • Retail
  • Healthcare & Life Sciences
  • Telecom
  • BFSI
  • Other (Energy & Utilities, Education, Government)

The content of the study subjects, includes a total of 15 chapters:

  • Chapter 1, to describe Machine Learning as a Service product scope, market overview, market opportunities, market driving force and market risks.
  • Chapter 2, to profile the top manufacturers of Machine Learning as a Service, with price, sales, revenue and global market share of Machine Learning as a Service in 2017 and 2018.
  • Chapter 3, the Machine Learning as a Service competitive situation, sales, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
  • Chapter 4, the Machine Learning as a Service breakdown data are shown at the regional level, to show the sales, revenue and growth by regions, from 2014 to 2019.
  • Chapter 5, 6, 7, 8 and 9, to break the sales data at the country level, with sales, revenue and market share for key countries in the world, from 2014 to 2019.
  • Chapter 10 and 11, to segment the sales by type and application, with sales market share and growth rate by type, application, from 2014 to 2019.
  • Chapter 12, Machine Learning as a Service market forecast, by regions, type and application, with sales and revenue, from 2019 to 2024.
  • Chapter 13, 14 and 15, to describe Machine Learning as a Service sales channel, distributors, customers, research findings and conclusion, appendix and data source.

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