1 Report Business Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Type, 2017 VS 2021 VS 2028
1.2.2 Open Source Data Integration Tools
1.2.3 Cloud-based Data Integration Tools
1.3 Market by Application
1.3.1 Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Application, 2017 VS 2021 VS 2028
1.3.2 Small-Sized Enterprises
1.3.3 Medium-Sized Enterprise
1.3.4 Large Enterprises
1.4 Study Objectives
1.5 Years Considered 2 Global Growth Trends
2.1 Global Data Science and Machine-Learning Platforms Market Perspective (2017-2028)
2.2 Data Science and Machine-Learning Platforms Growth Trends by Region
2.2.1 Data Science and Machine-Learning Platforms Market Size by Region: 2017 VS 2021 VS 2028
2.2.2 Data Science and Machine-Learning Platforms Historic Market Size by Region (2017-2022)
2.2.3 Data Science and Machine-Learning Platforms Forecasted Market Size by Region (2023-2028)
2.3 Data Science and Machine-Learning Platforms Market Dynamics
2.3.1 Data Science and Machine-Learning Platforms Industry Trends
2.3.2 Data Science and Machine-Learning Platforms Market Drivers
2.3.3 Data Science and Machine-Learning Platforms Market Challenges
2.3.4 Data Science and Machine-Learning Platforms Market Restraints 3 Competition Landscape by Key Players
3.1 Global Top Data Science and Machine-Learning Platforms Players by Revenue
3.1.1 Global Top Data Science and Machine-Learning Platforms Players by Revenue (2017-2022)
3.1.2 Global Data Science and Machine-Learning Platforms Revenue Market Share by Players (2017-2022)
3.2 Global Data Science and Machine-Learning Platforms Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Science and Machine-Learning Platforms Revenue
3.4 Global Data Science and Machine-Learning Platforms Market Concentration Ratio
3.4.1 Global Data Science and Machine-Learning Platforms Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Science and Machine-Learning Platforms Revenue in 2021
3.5 Data Science and Machine-Learning Platforms Key Players Head office and Area Served
3.6 Key Players Data Science and Machine-Learning Platforms Product Solution and Service
3.7 Date of Enter into Data Science and Machine-Learning Platforms Market
3.8 Mergers & Acquisitions, Expansion Plans 4 Data Science and Machine-Learning Platforms Breakdown Data by Type
4.1 Global Data Science and Machine-Learning Platforms Historic Market Size by Type (2017-2022)
4.2 Global Data Science and Machine-Learning Platforms Forecasted Market Size by Type (2023-2028) 5 Data Science and Machine-Learning Platforms Breakdown Data by Application
5.1 Global Data Science and Machine-Learning Platforms Historic Market Size by Application (2017-2022)
5.2 Global Data Science and Machine-Learning Platforms Forecasted Market Size by Application (2023-2028) 6 North America
6.1 North America Data Science and Machine-Learning Platforms Market Size (2017-2028)
6.2 North America Data Science and Machine-Learning Platforms Market Size by Type
6.2.1 North America Data Science and Machine-Learning Platforms Market Size by Type (2017-2022)
6.2.2 North America Data Science and Machine-Learning Platforms Market Size by Type (2023-2028)
6.2.3 North America Data Science and Machine-Learning Platforms Market Share by Type (2017-2028)
6.3 North America Data Science and Machine-Learning Platforms Market Size by Application
6.3.1 North America Data Science and Machine-Learning Platforms Market Size by Application (2017-2022)
6.3.2 North America Data Science and Machine-Learning Platforms Market Size by Application (2023-2028)
6.3.3 North America Data Science and Machine-Learning Platforms Market Share by Application (2017-2028)
6.4 North America Data Science and Machine-Learning Platforms Market Size by Country
6.4.1 North America Data Science and Machine-Learning Platforms Market Size by Country (2017-2022)
6.4.2 North America Data Science and Machine-Learning Platforms Market Size by Country (2023-2028)
6.4.3 U.S.
6.4.4 Canada 7 Europe
7.1 Europe Data Science and Machine-Learning Platforms Market Size (2017-2028)
7.2 Europe Data Science and Machine-Learning Platforms Market Size by Type
7.2.1 Europe Data Science and Machine-Learning Platforms Market Size by Type (2017-2022)
7.2.2 Europe Data Science and Machine-Learning Platforms Market Size by Type (2023-2028)
7.2.3 Europe Data Science and Machine-Learning Platforms Market Share by Type (2017-2028)
7.3 Europe Data Science and Machine-Learning Platforms Market Size by Application
7.3.1 Europe Data Science and Machine-Learning Platforms Market Size by Application (2017-2022)
7.3.2 Europe Data Science and Machine-Learning Platforms Market Size by Application (2023-2028)
7.3.3 Europe Data Science and Machine-Learning Platforms Market Share by Application (2017-2028)
7.4 Europe Data Science and Machine-Learning Platforms Market Size by Country
7.4.1 Europe Data Science and Machine-Learning Platforms Market Size by Country (2017-2022)
7.4.2 Europe Data Science and Machine-Learning Platforms Market Size by Country (2023-2028)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries 8 Asia-Pacific
8.1 Asia-Pacific Data Science and Machine-Learning Platforms Market Size (2017-2028)
8.2 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Type
8.2.1 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Type (2017-2022)
8.2.2 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Type (2023-2028)
8.2.3 Asia-Pacific Data Science and Machine-Learning Platforms Market Share by Type (2017-2028)
8.3 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Application
8.3.1 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Application (2017-2022)
8.3.2 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Application (2023-2028)
8.3.3 Asia-Pacific Data Science and Machine-Learning Platforms Market Share by Application (2017-2028)
8.4 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Region
8.4.1 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Region (2017-2022)
8.4.2 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Region (2023-2028)
8.4.3 China
8.4.4 Japan
8.4.5 South Korea
8.4.6 Southeast Asia
8.4.7 India
8.4.8 Australia 9 Latin America
9.1 Latin America Data Science and Machine-Learning Platforms Market Size (2017-2028)
9.2 Latin America Data Science and Machine-Learning Platforms Market Size by Type
9.2.1 Latin America Data Science and Machine-Learning Platforms Market Size by Type (2017-2022)
9.2.2 Latin America Data Science and Machine-Learning Platforms Market Size by Type (2023-2028)
9.2.3 Latin America Data Science and Machine-Learning Platforms Market Share by Type (2017-2028)
9.3 Latin America Data Science and Machine-Learning Platforms Market Size by Application
9.3.1 Latin America Data Science and Machine-Learning Platforms Market Size by Application (2017-2022)
9.3.2 Latin America Data Science and Machine-Learning Platforms Market Size by Application (2023-2028)
9.3.3 Latin America Data Science and Machine-Learning Platforms Market Share by Application (2017-2028)
9.4 Latin America Data Science and Machine-Learning Platforms Market Size by Country
9.4.1 Latin America Data Science and Machine-Learning Platforms Market Size by Country (2017-2022)
9.4.2 Latin America Data Science and Machine-Learning Platforms Market Size by Country (2023-2028)
9.4.3 Mexico
9.4.4 Brazil 10 Middle East & Africa
10.1 Middle East & Africa Data Science and Machine-Learning Platforms Market Size (2017-2028)
10.2 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Type
10.2.1 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Type (2017-2022)
10.2.2 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Type (2023-2028)
10.2.3 Middle East & Africa Data Science and Machine-Learning Platforms Market Share by Type (2017-2028)
10.3 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Application
10.3.1 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Application (2017-2022)
10.3.2 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Application (2023-2028)
10.3.3 Middle East & Africa Data Science and Machine-Learning Platforms Market Share by Application (2017-2028)
10.4 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Country
10.4.1 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Country (2017-2022)
10.4.2 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Country (2023-2028)
10.4.3 Turkey
10.4.4 Saudi Arabia
10.4.5 UAE 11 Key Players Profiles
11.1 SAS
11.1.1 SAS Company Details
11.1.2 SAS Business Overview
11.1.3 SAS Data Science and Machine-Learning Platforms Introduction
11.1.4 SAS Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.1.5 SAS Recent Developments
11.2 Alteryx
11.2.1 Alteryx Company Details
11.2.2 Alteryx Business Overview
11.2.3 Alteryx Data Science and Machine-Learning Platforms Introduction
11.2.4 Alteryx Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.2.5 Alteryx Recent Developments
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM Data Science and Machine-Learning Platforms Introduction
11.3.4 IBM Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.3.5 IBM Recent Developments
11.4 RapidMiner
11.4.1 RapidMiner Company Details
11.4.2 RapidMiner Business Overview
11.4.3 RapidMiner Data Science and Machine-Learning Platforms Introduction
11.4.4 RapidMiner Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.4.5 RapidMiner Recent Developments
11.5 KNIME
11.5.1 KNIME Company Details
11.5.2 KNIME Business Overview
11.5.3 KNIME Data Science and Machine-Learning Platforms Introduction
11.5.4 KNIME Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.5.5 KNIME Recent Developments
11.6 Microsoft
11.6.1 Microsoft Company Details
11.6.2 Microsoft Business Overview
11.6.3 Microsoft Data Science and Machine-Learning Platforms Introduction
11.6.4 Microsoft Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.6.5 Microsoft Recent Developments
11.7 Dataiku
11.7.1 Dataiku Company Details
11.7.2 Dataiku Business Overview
11.7.3 Dataiku Data Science and Machine-Learning Platforms Introduction
11.7.4 Dataiku Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.7.5 Dataiku Recent Developments
11.8 Databricks
11.8.1 Databricks Company Details
11.8.2 Databricks Business Overview
11.8.3 Databricks Data Science and Machine-Learning Platforms Introduction
11.8.4 Databricks Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.8.5 Databricks Recent Developments
11.9 TIBCO Software
11.9.1 TIBCO Software Company Details
11.9.2 TIBCO Software Business Overview
11.9.3 TIBCO Software Data Science and Machine-Learning Platforms Introduction
11.9.4 TIBCO Software Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.9.5 TIBCO Software Recent Developments
11.10 MathWorks
11.10.1 MathWorks Company Details
11.10.2 MathWorks Business Overview
11.10.3 MathWorks Data Science and Machine-Learning Platforms Introduction
11.10.4 MathWorks Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.10.5 MathWorks Recent Developments
11.11 H20.ai
11.11.1 H20.ai Company Details
11.11.2 H20.ai Business Overview
11.11.3 H20.ai Data Science and Machine-Learning Platforms Introduction
11.11.4 H20.ai Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.11.5 H20.ai Recent Developments
11.12 Anaconda
11.12.1 Anaconda Company Details
11.12.2 Anaconda Business Overview
11.12.3 Anaconda Data Science and Machine-Learning Platforms Introduction
11.12.4 Anaconda Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.12.5 Anaconda Recent Developments
11.13 SAP
11.13.1 SAP Company Details
11.13.2 SAP Business Overview
11.13.3 SAP Data Science and Machine-Learning Platforms Introduction
11.13.4 SAP Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.13.5 SAP Recent Developments
11.14 Google
11.14.1 Google Company Details
11.14.2 Google Business Overview
11.14.3 Google Data Science and Machine-Learning Platforms Introduction
11.14.4 Google Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.14.5 Google Recent Developments
11.15 Domino Data Lab
11.15.1 Domino Data Lab Company Details
11.15.2 Domino Data Lab Business Overview
11.15.3 Domino Data Lab Data Science and Machine-Learning Platforms Introduction
11.15.4 Domino Data Lab Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.15.5 Domino Data Lab Recent Developments
11.16 Angoss
11.16.1 Angoss Company Details
11.16.2 Angoss Business Overview
11.16.3 Angoss Data Science and Machine-Learning Platforms Introduction
11.16.4 Angoss Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.16.5 Angoss Recent Developments
11.17 Lexalytics
11.17.1 Lexalytics Company Details
11.17.2 Lexalytics Business Overview
11.17.3 Lexalytics Data Science and Machine-Learning Platforms Introduction
11.17.4 Lexalytics Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.17.5 Lexalytics Recent Developments
11.18 Rapid Insight
11.18.1 Rapid Insight Company Details
11.18.2 Rapid Insight Business Overview
11.18.3 Rapid Insight Data Science and Machine-Learning Platforms Introduction
11.18.4 Rapid Insight Revenue in Data Science and Machine-Learning Platforms Business (2017-2022)
11.18.5 Rapid Insight Recent Developments 12 Analyst's Viewpoints/Conclusions 13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Author Details
13.3 Disclaimer
