Table of Contents
1 Research Methodology and Statistical Scope
1.1 Market Definition and Statistical Scope of Data Science and Machine-Learning Platforms
1.2 Key Market Segments
1.2.1 Data Science and Machine-Learning Platforms Segment by Type
1.2.2 Data Science and Machine-Learning Platforms Segment by Application
1.3 Methodology & Sources of Information
1.3.1 Research Methodology
1.3.2 Research Process
1.3.3 Market Breakdown and Data Triangulation
1.3.4 Base Year
1.3.5 Report Assumptions & Caveats
2 Data Science and Machine-Learning Platforms Market Overview
2.1 Global Market Overview
2.2 Market Segment Executive Summary
2.3 Global Market Size by Region
3 Data Science and Machine-Learning Platforms Market Competitive Landscape
3.1 Global Data Science and Machine-Learning Platforms Revenue Market Share by Company (2019-2024)
3.2 Data Science and Machine-Learning Platforms Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Company Data Science and Machine-Learning Platforms Market Size Sites, Area Served, Product Type
3.4 Data Science and Machine-Learning Platforms Market Competitive Situation and Trends
3.4.1 Data Science and Machine-Learning Platforms Market Concentration Rate
3.4.2 Global 5 and 10 Largest Data Science and Machine-Learning Platforms Players Market Share by Revenue
3.4.3 Mergers & Acquisitions, Expansion
4 Data Science and Machine-Learning Platforms Value Chain Analysis
4.1 Data Science and Machine-Learning Platforms Value Chain Analysis
4.2 Midstream Market Analysis
4.3 Downstream Customer Analysis
5 The Development and Dynamics of Data Science and Machine-Learning Platforms Market
5.1 Key Development Trends
5.2 Driving Factors
5.3 Market Challenges
5.4 Market Restraints
5.5 Industry News
5.5.1 Mergers & Acquisitions
5.5.2 Expansions
5.5.3 Collaboration/Supply Contracts
5.6 Industry Policies
6 Data Science and Machine-Learning Platforms Market Segmentation by Type
6.1 Evaluation Matrix of Segment Market Development Potential (Type)
6.2 Global Data Science and Machine-Learning Platforms Market Size Market Share by Type (2019-2024)
6.3 Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Type (2019-2024)
7 Data Science and Machine-Learning Platforms Market Segmentation by Application
7.1 Evaluation Matrix of Segment Market Development Potential (Application)
7.2 Global Data Science and Machine-Learning Platforms Market Size (M USD) by Application (2019-2024)
7.3 Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Application (2019-2024)
8 Data Science and Machine-Learning Platforms Market Segmentation by Region
8.1 Global Data Science and Machine-Learning Platforms Market Size by Region
8.1.1 Global Data Science and Machine-Learning Platforms Market Size by Region
8.1.2 Global Data Science and Machine-Learning Platforms Market Size Market Share by Region
8.2 North America
8.2.1 North America Data Science and Machine-Learning Platforms Market Size by Country
8.2.2 U.S.
8.2.3 Canada
8.2.4 Mexico
8.3 Europe
8.3.1 Europe Data Science and Machine-Learning Platforms Market Size by Country
8.3.2 Germany
8.3.3 France
8.3.4 U.K.
8.3.5 Italy
8.3.6 Russia
8.4 Asia Pacific
8.4.1 Asia Pacific Data Science and Machine-Learning Platforms Market Size by Region
8.4.2 China
8.4.3 Japan
8.4.4 South Korea
8.4.5 India
8.4.6 Southeast Asia
8.5 South America
8.5.1 South America Data Science and Machine-Learning Platforms Market Size by Country
8.5.2 Brazil
8.5.3 Argentina
8.5.4 Columbia
8.6 Middle East and Africa
8.6.1 Middle East and Africa Data Science and Machine-Learning Platforms Market Size by Region
8.6.2 Saudi Arabia
8.6.3 UAE
8.6.4 Egypt
8.6.5 Nigeria
8.6.6 South Africa
9 Key Companies Profile
9.1 SAS
9.1.1 SAS Data Science and Machine-Learning Platforms Basic Information
9.1.2 SAS Data Science and Machine-Learning Platforms Product Overview
9.1.3 SAS Data Science and Machine-Learning Platforms Product Market Performance
9.1.4 SAS Data Science and Machine-Learning Platforms SWOT Analysis
9.1.5 SAS Business Overview
9.1.6 SAS Recent Developments
9.2 Alteryx
9.2.1 Alteryx Data Science and Machine-Learning Platforms Basic Information
9.2.2 Alteryx Data Science and Machine-Learning Platforms Product Overview
9.2.3 Alteryx Data Science and Machine-Learning Platforms Product Market Performance
9.2.4 SAS Data Science and Machine-Learning Platforms SWOT Analysis
9.2.5 Alteryx Business Overview
9.2.6 Alteryx Recent Developments
9.3 IBM
9.3.1 IBM Data Science and Machine-Learning Platforms Basic Information
9.3.2 IBM Data Science and Machine-Learning Platforms Product Overview
9.3.3 IBM Data Science and Machine-Learning Platforms Product Market Performance
9.3.4 SAS Data Science and Machine-Learning Platforms SWOT Analysis
9.3.5 IBM Business Overview
9.3.6 IBM Recent Developments
9.4 RapidMiner
9.4.1 RapidMiner Data Science and Machine-Learning Platforms Basic Information
9.4.2 RapidMiner Data Science and Machine-Learning Platforms Product Overview
9.4.3 RapidMiner Data Science and Machine-Learning Platforms Product Market Performance
9.4.4 RapidMiner Business Overview
9.4.5 RapidMiner Recent Developments
9.5 KNIME
9.5.1 KNIME Data Science and Machine-Learning Platforms Basic Information
9.5.2 KNIME Data Science and Machine-Learning Platforms Product Overview
9.5.3 KNIME Data Science and Machine-Learning Platforms Product Market Performance
9.5.4 KNIME Business Overview
9.5.5 KNIME Recent Developments
9.6 Microsoft
9.6.1 Microsoft Data Science and Machine-Learning Platforms Basic Information
9.6.2 Microsoft Data Science and Machine-Learning Platforms Product Overview
9.6.3 Microsoft Data Science and Machine-Learning Platforms Product Market Performance
9.6.4 Microsoft Business Overview
9.6.5 Microsoft Recent Developments
9.7 Dataiku
9.7.1 Dataiku Data Science and Machine-Learning Platforms Basic Information
9.7.2 Dataiku Data Science and Machine-Learning Platforms Product Overview
9.7.3 Dataiku Data Science and Machine-Learning Platforms Product Market Performance
9.7.4 Dataiku Business Overview
9.7.5 Dataiku Recent Developments
9.8 Databricks
9.8.1 Databricks Data Science and Machine-Learning Platforms Basic Information
9.8.2 Databricks Data Science and Machine-Learning Platforms Product Overview
9.8.3 Databricks Data Science and Machine-Learning Platforms Product Market Performance
9.8.4 Databricks Business Overview
9.8.5 Databricks Recent Developments
9.9 TIBCO Software
9.9.1 TIBCO Software Data Science and Machine-Learning Platforms Basic Information
9.9.2 TIBCO Software Data Science and Machine-Learning Platforms Product Overview
9.9.3 TIBCO Software Data Science and Machine-Learning Platforms Product Market Performance
9.9.4 TIBCO Software Business Overview
9.9.5 TIBCO Software Recent Developments
9.10 MathWorks
9.10.1 MathWorks Data Science and Machine-Learning Platforms Basic Information
9.10.2 MathWorks Data Science and Machine-Learning Platforms Product Overview
9.10.3 MathWorks Data Science and Machine-Learning Platforms Product Market Performance
9.10.4 MathWorks Business Overview
9.10.5 MathWorks Recent Developments
9.11 H20.ai
9.11.1 H20.ai Data Science and Machine-Learning Platforms Basic Information
9.11.2 H20.ai Data Science and Machine-Learning Platforms Product Overview
9.11.3 H20.ai Data Science and Machine-Learning Platforms Product Market Performance
9.11.4 H20.ai Business Overview
9.11.5 H20.ai Recent Developments
9.12 Anaconda
9.12.1 Anaconda Data Science and Machine-Learning Platforms Basic Information
9.12.2 Anaconda Data Science and Machine-Learning Platforms Product Overview
9.12.3 Anaconda Data Science and Machine-Learning Platforms Product Market Performance
9.12.4 Anaconda Business Overview
9.12.5 Anaconda Recent Developments
9.13 SAP
9.13.1 SAP Data Science and Machine-Learning Platforms Basic Information
9.13.2 SAP Data Science and Machine-Learning Platforms Product Overview
9.13.3 SAP Data Science and Machine-Learning Platforms Product Market Performance
9.13.4 SAP Business Overview
9.13.5 SAP Recent Developments
9.14 Google
9.14.1 Google Data Science and Machine-Learning Platforms Basic Information
9.14.2 Google Data Science and Machine-Learning Platforms Product Overview
9.14.3 Google Data Science and Machine-Learning Platforms Product Market Performance
9.14.4 Google Business Overview
9.14.5 Google Recent Developments
9.15 Domino Data Lab
9.15.1 Domino Data Lab Data Science and Machine-Learning Platforms Basic Information
9.15.2 Domino Data Lab Data Science and Machine-Learning Platforms Product Overview
9.15.3 Domino Data Lab Data Science and Machine-Learning Platforms Product Market Performance
9.15.4 Domino Data Lab Business Overview
9.15.5 Domino Data Lab Recent Developments
9.16 Angoss
9.16.1 Angoss Data Science and Machine-Learning Platforms Basic Information
9.16.2 Angoss Data Science and Machine-Learning Platforms Product Overview
9.16.3 Angoss Data Science and Machine-Learning Platforms Product Market Performance
9.16.4 Angoss Business Overview
9.16.5 Angoss Recent Developments
9.17 Lexalytics
9.17.1 Lexalytics Data Science and Machine-Learning Platforms Basic Information
9.17.2 Lexalytics Data Science and Machine-Learning Platforms Product Overview
9.17.3 Lexalytics Data Science and Machine-Learning Platforms Product Market Performance
9.17.4 Lexalytics Business Overview
9.17.5 Lexalytics Recent Developments
9.18 Rapid Insight
9.18.1 Rapid Insight Data Science and Machine-Learning Platforms Basic Information
9.18.2 Rapid Insight Data Science and Machine-Learning Platforms Product Overview
9.18.3 Rapid Insight Data Science and Machine-Learning Platforms Product Market Performance
9.18.4 Rapid Insight Business Overview
9.18.5 Rapid Insight Recent Developments
10 Data Science and Machine-Learning Platforms Regional Market Forecast
10.1 Global Data Science and Machine-Learning Platforms Market Size Forecast
10.2 Global Data Science and Machine-Learning Platforms Market Forecast by Region
10.2.1 North America Market Size Forecast by Country
10.2.2 Europe Data Science and Machine-Learning Platforms Market Size Forecast by Country
10.2.3 Asia Pacific Data Science and Machine-Learning Platforms Market Size Forecast by Region
10.2.4 South America Data Science and Machine-Learning Platforms Market Size Forecast by Country
10.2.5 Middle East and Africa Forecasted Consumption of Data Science and Machine-Learning Platforms by Country
11 Forecast Market by Type and by Application (2025-2030)
11.1 Global Data Science and Machine-Learning Platforms Market Forecast by Type (2025-2030)
11.2 Global Data Science and Machine-Learning Platforms Market Forecast by Application (2025-2030)
12 Conclusion and Key Findings
