Global Data Science and Machine-Learning Platforms Market Report 2022 | Top Companies Study and Regional Forecasts 2029

Published On: Nov 2021

Format: PDF

Publisher: Calibre Research

Pages: 168

Report ID: 729629

The study audits various winning strategies adopted by the market leaders to maintain the competitive edge worldwide.

The global Data Science and Machine-Learning Platforms market size is expected to reach USD XX million at a steady CAGR of XX% in 2029, according to latest analysis.

The investigative approach applied for the extensive analysis of the sale, gross margin and profit generated by the industry are presented through resources including tables, charts, and graphic images. Importantly, these resources can be easily integrated or used for preparing business or corporate presentations.

Key questions answered in the report
What will be the market size in terms of value and volume in the next five years?
Which segment is currently leading the market?
In which region will the market find its highest growth?
Which players will take the lead in the market?
What are the key drivers and restraints of the market’s growth?

The Data Science and Machine-Learning Platforms market in North America accounted for XX revenue share as compared to other regional markets in 2021 due to high demand from the U.S. The rising trend of XX in the country.

Key players in the market include
SAS

Alteryx

IBM

RapidMiner

KNIME

Microsoft

Dataiku

Databricks

TIBCO Software

MathWorks

H20.ai

Anaconda

SAP

Google

Domino Data Lab

Angoss

Lexalytics

Rapid Insight



Research Methodology
Data triangulation and market breakdown
Research assumptions Research data including primary and secondary data
Primary data includes breakdown of primaries and key industry insights
Secondary data includes key data from secondary sources

All of the segments studied in the research study are analyzed on the basis of Basis Points (BPS), market share, revenue, and other important factors. Our research study shows how different segments are contributing to the growth of the global Data Science and Machine-Learning Platforms market. It also provides information on key trends related to the segments included in the report. This helps market players to concentrate on high-growth areas of the global Data Science and Machine-Learning Platforms market. The research study also offers separate analysis on the segments on the basis of absolute dollar opportunity.


Global Data Science and Machine-Learning Platforms market is segmented the on the basis of type, application, key players, and region:
Key Types of Data Science and Machine-Learning Platforms market:
Open Source Data Integration Tools

Cloud-based Data Integration Tools



Key applications of Data Science and Machine-Learning Platforms market:
Small-Sized Enterprises

Medium-Sized Enterprise

Large Enterprises



Market segment by Region/Country including:
North America (United States, Canada and Mexico)
Europe (Germany, UK, France, Italy, Russia and Spain etc.)
Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.)
South America Brazil, Argentina, Colombia and Chile etc.)
Middle East & Africa (South Africa, Egypt, Nigeria and Saudi Arabia etc.)


The report relies on advanced primary and secondary research methodologies to assess information. The data for the study is gathered from reliable and trustworthy sources, ensuring the authenticity and accuracy of the research study. We also employ qualitative and quantitative analysis to deliver a comprehensive and all-encompassing research study on the global Data Science and Machine-Learning Platforms market. The report also comprises of SWOT analysis, PESTLE analysis, and Porter’s Five Forces Model analysis, to offer the reader with a complete and all-inclusive study of crucial segments of the global Data Science and Machine-Learning Platforms market.

Report Objectives
Examine the size of the global Data Science and Machine-Learning Platforms market based on the parameters of value and volume.
Accurately calculate the market shares, consumption, and other essential aspects of different segments of the global Data Science and Machine-Learning Platforms market.
Explore the underlying dynamics of the global Data Science and Machine-Learning Platforms market.
Highlight significant trends of the global Data Science and Machine-Learning Platforms market based on factors including, production, revenue, and sales.
Extensively profile top players of the global Data Science and Machine-Learning Platforms market and showing how they compete in the industry.
Study manufacturing processes and the costs, product pricing, and various trends associated with them.
Analyze the performance of different regions and countries in the global Data Science and Machine-Learning Platforms market.
Forecast the market size and share of all segments and regions in the global landscape.

1 Market Overview
1.1 Product Overview and Scope of Data Science and Machine-Learning Platforms
1.2 Classification of Data Science and Machine-Learning Platforms by Type
1.2.1 Overview: Global Data Science and Machine-Learning Platforms Market Size by Type: 2020 Versus 2021 Versus 2029
1.2.2 Global Data Science and Machine-Learning Platforms Revenue Market Share by Type in 2020
1.3 Global Data Science and Machine-Learning Platforms Market by Application
1.3.1 Overview: Global Data Science and Machine-Learning Platforms Market Size by Application: 2020 Versus 2021 Versus 2029
1.4 Global Data Science and Machine-Learning Platforms Market Size & Forecast
1.5 Global Data Science and Machine-Learning Platforms Market Size and Forecast by Region
1.5.1 Global Data Science and Machine-Learning Platforms Market Size by Region: 2016 VS 2021 VS 2029
1.5.2 Global Data Science and Machine-Learning Platforms Market Size by Region, (2016-2021)
1.5.3 North America Data Science and Machine-Learning Platforms Market Size and Prospect (2016-2029)
1.5.4 Europe Data Science and Machine-Learning Platforms Market Size and Prospect (2016-2029)
1.5.5 Asia-Pacific Data Science and Machine-Learning Platforms Market Size and Prospect (2016-2029)
1.5.6 South America Data Science and Machine-Learning Platforms Market Size and Prospect (2016-2029)
1.5.7 Middle East and Africa Data Science and Machine-Learning Platforms Market Size and Prospect (2016-2029)
1.6 Market Drivers, Restraints and Trends
1.6.1 Data Science and Machine-Learning Platforms Market Drivers
1.6.2 Data Science and Machine-Learning Platforms Market Restraints
1.6.3 Data Science and Machine-Learning Platforms Trends Analysis
1.6.4 COVID Impact Analysis
2 Company Profiles
2.1.1 Company Details
2.1.2 Company Major Business
2.1.3 Company Data Science and Machine-Learning Platforms Product and Solutions
2.1.4 Company Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2019-2021)
2.1.5 Company Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Data Science and Machine-Learning Platforms Revenue and Share by Players (2019-2021)
3.2 Market Concentration Rate
3.2.1 Top 3 Data Science and Machine-Learning Platforms Players Market Share
3.2.2 Top 10 Data Science and Machine-Learning Platforms Players Market Share
3.2.3 Market Competition Trend
3.3 Data Science and Machine-Learning Platforms Players Head Office, Products and Services Provided
3.4 Mergers & Acquisitions
3.5 New Entrants and Expansion Plans
4 Market Size Segment by Type
4.1 Global Data Science and Machine-Learning Platforms Revenue and Market Share by Type (2017-2021)
4.2 Global Data Science and Machine-Learning Platforms Market Forecast by Type (2021-2029)
5 Market Size Segment by Application
5.1 Global Data Science and Machine-Learning Platforms Revenue Market Share by Application (2017-2021)
5.2 Data Science and Machine-Learning Platforms Market Forecast by Application (2021-2029)
6 North America by Country, by Type, and by Application
6.1 North America Data Science and Machine-Learning Platforms Revenue by Type (2017-2029)
6.2 North America Data Science and Machine-Learning Platforms Revenue by Application (2017-2029)
6.3 North America Data Science and Machine-Learning Platforms Market Size by Country
6.3.1 North America Data Science and Machine-Learning Platforms Revenue by Country (2017-2029)
6.3.2 United States Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
6.3.3 Canada Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
6.3.4 Mexico Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
7 Europe by Country, by Type, and by Application
7.1 Europe Data Science and Machine-Learning Platforms Revenue by Type (2017-2029)
7.2 Europe Data Science and Machine-Learning Platforms Revenue by Application (2017-2029)
7.3 Europe Data Science and Machine-Learning Platforms Market Size by Country
7.3.1 Europe Data Science and Machine-Learning Platforms Revenue by Country (2017-2029)
7.3.2 Germany Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
7.3.3 France Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
7.3.4 United Kingdom Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
7.3.5 Russia Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
7.3.6 Italy Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
8 Asia-Pacific by Region, by Type, and by Application
8.1 Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Type (2017-2029)
8.2 Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Application (2017-2029)
8.3 Asia-Pacific Data Science and Machine-Learning Platforms Market Size by Region
8.3.1 Asia-Pacific Data Science and Machine-Learning Platforms Revenue by Region (2017-2029)
8.3.2 China Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
8.3.3 Japan Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
8.3.4 South Korea Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
8.3.5 India Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
8.3.6 Southeast Asia Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
8.3.7 Australia Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
9 South America by Country, by Type, and by Application
9.1 South America Data Science and Machine-Learning Platforms Revenue by Type (2017-2029)
9.2 South America Data Science and Machine-Learning Platforms Revenue by Application (2017-2029)
9.3 South America Data Science and Machine-Learning Platforms Market Size by Country
9.3.1 South America Data Science and Machine-Learning Platforms Revenue by Country (2017-2029)
9.3.2 Brazil Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
9.3.3 Argentina Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
10 Middle East & Africa by Country, by Type, and by Application
10.1 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Type (2017-2029)
10.2 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Application (2017-2029)
10.3 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Country
10.3.1 Middle East & Africa Data Science and Machine-Learning Platforms Revenue by Country (2017-2029)
10.3.2 Turkey Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
10.3.3 Saudi Arabia Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
10.3.4 UAE Data Science and Machine-Learning Platforms Market Size and Forecast (2017-2029)
11 Research Findings and Conclusion
12 Appendix
12.1 Methodology
12.2 Research Process and Data Source
12.3 Disclaimer