Machine learning systems are core to enabling each of the seven patterns of AI. Machine learning platforms facilitate and accelerate the development of machine learning models by providing functionality that combines many necessary activities for model development and deployment. In this report, Cognilytica evaluates five major categories of solutions that provide machine learning development capabilities: Machine Learning toolkits, Machine Learning Platforms, Analytics Solutions, Data Science Notebooks, and Cloud-native Machine Learning as a Service (MLaaS) offerings. In addition, this report looks at emerging automated machine learning tools or “AutoML” that perform many of the complicated tasks needed for successful machine learning model creation automatically with little user intervention.
Key Findings:

• Cognilytica tracks over 100 vendors involved in machine learning model development
• There are five primary categories of solutions for machine learning model development: Machine Learning toolkits, Machine Learning Platforms, Analytics Solutions, Data Science Notebooks, and Cloud-native Machine Learning as a Service (MLaaS) offerings
• Automated Machine Learning (“AutoML”) is rapidly becoming a necessary component of machine learning model development solutions
• Cognilytica sees the market for machine learning platforms as $23.2B in 2019 growing to $126.1B by 2025, representing a 33.73% compound annual growth rate (CAGR)
• There will be continued expansion of machine learning platform capabilities spanning functional areas not yet common across all platform providers
• In addition, Cognilytica sees accelerated consolidation of the machine learning platform market with the pace of acquisitions, mergers, and IPOs increasing in the year ahead
• Cognilytica sees increasing inclusion of Machine Learning Operations (“ML Ops”) capabilities within existing machine learning platform solutions as the scope of ML Platforms continue to expand.

Report Details:

• 62 Pages
• 64 Vendors and Solution Offerings Mentioned or Profiled
• 4 Tables
• 5 Figures

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Machine Learning Platforms 2020 966.73 KB

Machine learning systems are core to enabling each of the seven patterns of AI. Machine...

• Executive Summary 2
  • Key Findings 2
• Market Overview 3
  • Machine Learning Algorithms and Models 3
  • The Need for Good Quality and Quantity of Training Data 6
• Machine Learning Platforms 7
  • Data Science Notebooks 7
  • Machine Learning Toolkits vs. Machine Learning Platforms 8
  • General Purpose Analytic Suites vs. Dedicated Machine Learning Solutions 9
  • Open Source vs. Commercial Offerings 9
  • Cloud vs. On-Premise Machine Learning Environments 10
  • Machine Learning as a Service (MLaaS) 10
• Simplifying machine learning model development: AutoML 11
• Machine Learning Model Development Environments 12
  • Machine Learning Platform Vendor Landscape 13
• Notes on Mentioned Vendor Solutions that are not Profiled 14
• Cognilytica Classification 17
  • About the Cognilytica Vendor Classification System 17
• Global Market Size for Machine Learning Platforms 18
• Vendor Responses to Briefing Questionnaire 19
• Notes on Vendor Inclusion 60
• Future Market Trends and Predictions 61
  • Machine Learning Platform Market Predictions and Trends 61
• Related Research 62
• About Cognilytica 62