COVID-19 Impact on Global Machine Learning (ML) Platforms Market Size, Status and Forecast 2020-2026

1 Report Overview

• 1.1 Study Scope
• 1.2 Key Market Segments
• 1.3 Market Analysis by Type
  • 1.3.1 Global Machine Learning (ML) Platforms Market Size Growth Rate by Type: 2020 VS 2026
  • 1.3.2 Cloud-based
  • 1.3.3 On-premises
• 1.4 Market by Application
  • 1.4.1 Global Machine Learning (ML) Platforms Market Share by Application: 2020 VS 2026
  • 1.4.2 Small and Medium Enterprises (SMEs)
  • 1.4.3 Large Enterprises
• 1.5 Study Objectives
• 1.6 Years Considered

2 Global Growth Trends

• 2.1 Global Machine Learning (ML) Platforms Market Perspective (2015-2026)
• 2.2 Machine Learning (ML) Platforms Growth Trends by Regions
  • 2.2.1 Machine Learning (ML) Platforms Market Size by Regions: 2015 VS 2020 VS 2026
  • 2.2.2 Machine Learning (ML) Platforms Historic Market Share by Regions (2015-2020)
  • 2.2.3 Machine Learning (ML) Platforms Forecasted Market Size by Regions (2021-2026)
• 2.3 Machine Learning (ML) Platforms Industry Dynamic
  • 2.3.1 Machine Learning (ML) Platforms Market Trends
  • 2.3.2 Machine Learning (ML) Platforms Market Drivers
  • 2.3.3 Machine Learning (ML) Platforms Market Challenges
  • 2.3.4 Machine Learning (ML) Platforms Market Restraints

3 Competition Landscape by Key Players

• 3.1 Global Top Machine Learning (ML) Platforms Players by Market Size
  • 3.1.1 Global Top Machine Learning (ML) Platforms Players by Revenue (2015-2020)
  • 3.1.2 Global Machine Learning (ML) Platforms Revenue Market Share by Players (2015-2020)
• 3.2 Global Machine Learning (ML) Platforms Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
• 3.3 Players Covered: Ranking by Machine Learning (ML) Platforms Revenue
• 3.4 Global Machine Learning (ML) Platforms Market Concentration Ratio
  • 3.4.1 Global Machine Learning (ML) Platforms Market Concentration Ratio (CR5 and HHI)
  • 3.4.2 Global Top 10 and Top 5 Companies by Machine Learning (ML) Platforms Revenue in 2019
• 3.5 Key Players Machine Learning (ML) Platforms Area Served
• 3.6 Key Players Machine Learning (ML) Platforms Product Solution and Service
• 3.7 Date of Enter into Machine Learning (ML) Platforms Market
• 3.8 Mergers & Acquisitions, Expansion Plans

4 Machine Learning (ML) Platforms Breakdown Data by Type

• 4.1 Global Machine Learning (ML) Platforms Historic Market Size by Type (2015-2020)
• 4.2 Global Machine Learning (ML) Platforms Forecasted Market Size by Type (2021-2026)

5 Machine Learning (ML) Platforms Breakdown Data by Application

• 5.1 Global Machine Learning (ML) Platforms Historic Market Size by Application (2015-2020)
• 5.2 Global Machine Learning (ML) Platforms Forecasted Market Size by Application (2021-2026)

6 North America

• 6.1 North America Machine Learning (ML) Platforms Market Size (2015-2026)
• 6.2 North America Machine Learning (ML) Platforms Market Size by Type (2015-2020)
• 6.3 North America Machine Learning (ML) Platforms Market Size by Application (2015-2020)
• 6.4 North America Machine Learning (ML) Platforms Market Size by Country (2015-2020)
  • 6.4.1 United States
  • 6.4.2 Canada

7 Europe

• 7.1 Europe Machine Learning (ML) Platforms Market Size (2015-2026)
• 7.2 Europe Machine Learning (ML) Platforms Market Size by Type (2015-2020)
• 7.3 Europe Machine Learning (ML) Platforms Market Size by Application (2015-2020)
• 7.4 Europe Machine Learning (ML) Platforms Market Size by Country (2015-2020)
  • 7.4.1 Germany
  • 7.4.2 France
  • 7.4.3 U.K.
  • 7.4.4 Italy
  • 7.4.5 Russia
  • 7.4.6 Nordic

8 Asia-Pacific

• 8.1 Asia-Pacific Machine Learning (ML) Platforms Market Size (2015-2026)
• 8.2 Asia-Pacific Machine Learning (ML) Platforms Market Size by Type (2015-2020)
• 8.3 Asia-Pacific Machine Learning (ML) Platforms Market Size by Application (2015-2020)
• 8.4 Asia-Pacific Machine Learning (ML) Platforms Market Size by Region (2015-2020)
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 South Korea
  • 8.4.4 Southeast Asia
  • 8.4.5 India
  • 8.4.6 Australia

9 Latin America

• 9.1 Latin America Machine Learning (ML) Platforms Market Size (2015-2026)
• 9.2 Latin America Machine Learning (ML) Platforms Market Size by Type (2015-2020)
• 9.3 Latin America Machine Learning (ML) Platforms Market Size by Application (2015-2020)
• 9.4 Latin America Machine Learning (ML) Platforms Market Size by Country (2015-2020)
  • 9.4.1 Mexico
  • 9.4.2 Brazil

10 Middle East & Africa

• 10.1 Middle East & Africa Machine Learning (ML) Platforms Market Size (2015-2026)
• 10.2 Middle East & Africa Machine Learning (ML) Platforms Market Size by Type (2015-2020)
• 10.3 Middle East & Africa Machine Learning (ML) Platforms Market Size by Application (2015-2020)
• 10.4 Middle East & Africa Machine Learning (ML) Platforms Market Size by Country (2015-2020)
  • 10.4.1 Turkey
  • 10.4.2 Saudi Arabia
  • 10.4.3 UAE

11Key Players Profiles

• 11.1 Palantier
  • 11.1.1 Palantier Company Details
  • 11.1.2 Palantier Business Overview
  • 11.1.3 Palantier Machine Learning (ML) Platforms Introduction
  • 11.1.4 Palantier Revenue in Machine Learning (ML) Platforms Business (2015-2020))
  • 11.1.5 Palantier Recent Development
• 11.2 MathWorks
  • 11.2.1 MathWorks Company Details
  • 11.2.2 MathWorks Business Overview
  • 11.2.3 MathWorks Machine Learning (ML) Platforms Introduction
  • 11.2.4 MathWorks Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 11.2.5 MathWorks Recent Development
• 11.3 Alteryx
  • 11.3.1 Alteryx Company Details
  • 11.3.2 Alteryx Business Overview
  • 11.3.3 Alteryx Machine Learning (ML) Platforms Introduction
  • 11.3.4 Alteryx Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 11.3.5 Alteryx Recent Development
• 11.4 SAS
  • 11.4.1 SAS Company Details
  • 11.4.2 SAS Business Overview
  • 11.4.3 SAS Machine Learning (ML) Platforms Introduction
  • 11.4.4 SAS Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 11.4.5 SAS Recent Development
• 11.5 Databricks
  • 11.5.1 Databricks Company Details
  • 11.5.2 Databricks Business Overview
  • 11.5.3 Databricks Machine Learning (ML) Platforms Introduction
  • 11.5.4 Databricks Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 11.5.5 Databricks Recent Development
• 11.6 TIBCO Software
  • 11.6.1 TIBCO Software Company Details
  • 11.6.2 TIBCO Software Business Overview
  • 11.6.3 TIBCO Software Machine Learning (ML) Platforms Introduction
  • 11.6.4 TIBCO Software Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 11.6.5 TIBCO Software Recent Development
• 11.7 Dataiku
  • 11.7.1 Dataiku Company Details
  • 11.7.2 Dataiku Business Overview
  • 11.7.3 Dataiku Machine Learning (ML) Platforms Introduction
  • 11.7.4 Dataiku Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 11.7.5 Dataiku Recent Development
• 11.8 H2O.ai
  • 11.8.1 H2O.ai Company Details
  • 11.8.2 H2O.ai Business Overview
  • 11.8.3 H2O.ai Machine Learning (ML) Platforms Introduction
  • 11.8.4 H2O.ai Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 11.8.5 H2O.ai Recent Development
• 11.9 IBM
  • 11.9.1 IBM Company Details
  • 11.9.2 IBM Business Overview
  • 11.9.3 IBM Machine Learning (ML) Platforms Introduction
  • 11.9.4 IBM Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 11.9.5 IBM Recent Development
• 11.10 Microsoft
  • 11.10.1 Microsoft Company Details
  • 11.10.2 Microsoft Business Overview
  • 11.10.3 Microsoft Machine Learning (ML) Platforms Introduction
  • 11.10.4 Microsoft Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 11.10.5 Microsoft Recent Development
• 11.11 Google
  • 10.11.1 Google Company Details
  • 10.11.2 Google Business Overview
  • 10.11.3 Google Machine Learning (ML) Platforms Introduction
  • 10.11.4 Google Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 10.11.5 Google Recent Development
• 11.12 KNIME
  • 10.12.1 KNIME Company Details
  • 10.12.2 KNIME Business Overview
  • 10.12.3 KNIME Machine Learning (ML) Platforms Introduction
  • 10.12.4 KNIME Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 10.12.5 KNIME Recent Development
• 11.13 DataRobot
  • 10.13.1 DataRobot Company Details
  • 10.13.2 DataRobot Business Overview
  • 10.13.3 DataRobot Machine Learning (ML) Platforms Introduction
  • 10.13.4 DataRobot Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 10.13.5 DataRobot Recent Development
• 11.14 RapidMiner
  • 10.14.1 RapidMiner Company Details
  • 10.14.2 RapidMiner Business Overview
  • 10.14.3 RapidMiner Machine Learning (ML) Platforms Introduction
  • 10.14.4 RapidMiner Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 10.14.5 RapidMiner Recent Development
• 11.15 Anaconda
  • 10.15.1 Anaconda Company Details
  • 10.15.2 Anaconda Business Overview
  • 10.15.3 Anaconda Machine Learning (ML) Platforms Introduction
  • 10.15.4 Anaconda Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 10.15.5 Anaconda Recent Development
• 11.16 Domino
  • 10.16.1 Domino Company Details
  • 10.16.2 Domino Business Overview
  • 10.16.3 Domino Machine Learning (ML) Platforms Introduction
  • 10.16.4 Domino Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 10.16.5 Domino Recent Development
• 11.17 Altair
  • 10.17.1 Altair Company Details
  • 10.17.2 Altair Business Overview
  • 10.17.3 Altair Machine Learning (ML) Platforms Introduction
  • 10.17.4 Altair Revenue in Machine Learning (ML) Platforms Business (2015-2020)
  • 10.17.5 Altair Recent Development

12Analyst's Viewpoints/Conclusions

13Appendix

• 13.1 Research Methodology
  • 13.1.1 Methodology/Research Approach
  • 13.1.2 Data Source
• 13.2 Disclaimer