Machine Learning as a Service (MLaaS) Market Share 2021: Global Trends, Key Players, Industry Analysis Report to 2027

The Machine Learning as a Service (MLaaS) Market size is expected to grow at an annual average of 43% during 2021-2027. Machine learning is a computing technique that gives computers the ability to learn and modify analytic functions when exposed to a new set of data without explicitly programming them. Along with the relevant advanced computing and analytics market, there are several factors driving the growth of machine learning.

(Get 15% Discount on Buying this Report)

A full report of Machine Learning as a Service (MLaaS) Market is available at: https://www.orionmarketreports.com/machine-learning-as-a-service-market/50038/

 The following segmentation are covered in this report:

By Organization Size

  • SMEs
  • Large Enterprises

 By Service

  • Professional Services
  • Managed Services

By Application

  • Marketing and Advertising
  • Fraud Detections and Risk Analytics
  • Predictive Maintenance
  • Augmented Reality
  • Network Analytics and Automate Traffic Management
  • Others

 Company Profile

  • Microsoft Corporation
  • IBM Corporation
  • Google LLC
  • SAS Institute Inc.
  • Fair Isaac Corporation (FICO)
  • Hewlett Packard Enterprise Company
  • Yottamine Analytics LLC

 The report covers the following objectives:

  • Proliferation and maturation of trade in the global Machine Learning as a Service (MLaaS) Market
  • The market share of the global Machine Learning as a Service (MLaaS) Market supply and demand ratio, growth revenue, supply chain analysis, and business overview.
  • Current and future market trends that are influencing the growth opportunities and growth rate of the Machine Learning as a Service (MLaaS) Market
  • Feasibility study, new market insights, company profiles, investment return, revenue (value), and consumption (volume) of the global Machine Learning as a Service (MLaaS) Market

(This release has been published on OMR Industry Journal. OMR Industry Journal is not responsible for any content included in this release.)