Machine Learning Platforms 2020



Document ID: CGR-MLP20 | Last Updated: Dec. 8, 2020

Report Overview

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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Table of Contents
  • 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
Statement of Opinion & Terms and Conditions of Sale
Although Cognilytica believes that the results, conclusions, and analysis produced in support of this report are well informed, comprehensive, and reasonable, Cognilytica cannot guarantee future results, accuracy of market predictions, or applicability of conclusions to report purchaser or reader’s business. Moreover, Cognilytica does not assume responsibility for the accuracy and completeness of such statements. The information derived in this report are statements of opinion only, and Cognilytica shall not be held liable in any manner for any conclusions or actions taken pursuant to this report. The information contained herein has been obtained from sources believed to be reliable. Cognilytica shall have no liability for errors, omissions, or inadequacies in the information contained herein or for interpretations thereof. Report purchaser and/or reader assumes sole responsibility for the selection of these materials to achieve its intended results. The opinions expressed herein are subject to change without notice. Cognilytica does not make open its research methods, underlying data, sources, or means and methods of analysis for inquiry, evaluation, or examination.

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