Report Detail
Global Automated Data Science and Machine Learning Platforms Market 2024 by Company, Regions, Type and Application, Forecast to 2030
- RnM4605579 |
- 02 August, 2024 |
- Global |
- 133 Pages |
- GIR (Global Info Research) |
- Service & Software
According to our (Global Info Research) latest study, the global Automated Data Science and Machine Learning Platforms market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
The Global Info Research report includes an overview of the development of the Automated Data Science and Machine Learning Platforms industry chain, the market status of Small and Medium Enterprises (SMEs) (Cloud-based, On-premises), Large Enterprises (Cloud-based, On-premises), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Automated Data Science and Machine Learning Platforms.
Regionally, the report analyzes the Automated Data Science and Machine Learning Platforms markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Automated Data Science and Machine Learning Platforms market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Automated Data Science and Machine Learning Platforms market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Automated Data Science and Machine Learning Platforms industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Cloud-based, On-premises).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Automated Data Science and Machine Learning Platforms market.
Regional Analysis: The report involves examining the Automated Data Science and Machine Learning Platforms market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Automated Data Science and Machine Learning Platforms market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Automated Data Science and Machine Learning Platforms:
Company Analysis: Report covers individual Automated Data Science and Machine Learning Platforms players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Automated Data Science and Machine Learning Platforms This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Small and Medium Enterprises (SMEs), Large Enterprises).
Technology Analysis: Report covers specific technologies relevant to Automated Data Science and Machine Learning Platforms. It assesses the current state, advancements, and potential future developments in Automated Data Science and Machine Learning Platforms areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Automated Data Science and Machine Learning Platforms market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Automated Data Science and Machine Learning Platforms market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Cloud-based
On-premises
Market segment by Application
Small and Medium Enterprises (SMEs)
Large Enterprises
Market segment by players, this report covers
Palantier
MathWorks
Alteryx
SAS
Databricks
TIBCO Software
Dataiku
H2O.ai
IBM
Microsoft
Google
KNIME
DataRobot
RapidMiner
Anaconda
Domino
Altair
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Automated Data Science and Machine Learning Platforms product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Automated Data Science and Machine Learning Platforms, with revenue, gross margin and global market share of Automated Data Science and Machine Learning Platforms from 2019 to 2024.
Chapter 3, the Automated Data Science and Machine Learning Platforms competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Automated Data Science and Machine Learning Platforms market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Automated Data Science and Machine Learning Platforms.
Chapter 13, to describe Automated Data Science and Machine Learning Platforms research findings and conclusion.
1 Market Overview
- 1.1 Product Overview and Scope of Automated Data Science and Machine Learning Platforms
- 1.2 Market Estimation Caveats and Base Year
- 1.3 Classification of Automated Data Science and Machine Learning Platforms by Type
- 1.3.1 Overview: Global Automated Data Science and Machine Learning Platforms Market Size by Type: 2019 Versus 2023 Versus 2030
- 1.3.2 Global Automated Data Science and Machine Learning Platforms Consumption Value Market Share by Type in 2023
- 1.3.3 Cloud-based
- 1.3.4 On-premises
- 1.4 Global Automated Data Science and Machine Learning Platforms Market by Application
- 1.4.1 Overview: Global Automated Data Science and Machine Learning Platforms Market Size by Application: 2019 Versus 2023 Versus 2030
- 1.4.2 Small and Medium Enterprises (SMEs)
- 1.4.3 Large Enterprises
- 1.5 Global Automated Data Science and Machine Learning Platforms Market Size & Forecast
- 1.6 Global Automated Data Science and Machine Learning Platforms Market Size and Forecast by Region
- 1.6.1 Global Automated Data Science and Machine Learning Platforms Market Size by Region: 2019 VS 2023 VS 2030
- 1.6.2 Global Automated Data Science and Machine Learning Platforms Market Size by Region, (2019-2030)
- 1.6.3 North America Automated Data Science and Machine Learning Platforms Market Size and Prospect (2019-2030)
- 1.6.4 Europe Automated Data Science and Machine Learning Platforms Market Size and Prospect (2019-2030)
- 1.6.5 Asia-Pacific Automated Data Science and Machine Learning Platforms Market Size and Prospect (2019-2030)
- 1.6.6 South America Automated Data Science and Machine Learning Platforms Market Size and Prospect (2019-2030)
- 1.6.7 Middle East and Africa Automated Data Science and Machine Learning Platforms Market Size and Prospect (2019-2030)
2 Company Profiles
- 2.1 Palantier
- 2.1.1 Palantier Details
- 2.1.2 Palantier Major Business
- 2.1.3 Palantier Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.1.4 Palantier Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.1.5 Palantier Recent Developments and Future Plans
- 2.2 MathWorks
- 2.2.1 MathWorks Details
- 2.2.2 MathWorks Major Business
- 2.2.3 MathWorks Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.2.4 MathWorks Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.2.5 MathWorks Recent Developments and Future Plans
- 2.3 Alteryx
- 2.3.1 Alteryx Details
- 2.3.2 Alteryx Major Business
- 2.3.3 Alteryx Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.3.4 Alteryx Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.3.5 Alteryx Recent Developments and Future Plans
- 2.4 SAS
- 2.4.1 SAS Details
- 2.4.2 SAS Major Business
- 2.4.3 SAS Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.4.4 SAS Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.4.5 SAS Recent Developments and Future Plans
- 2.5 Databricks
- 2.5.1 Databricks Details
- 2.5.2 Databricks Major Business
- 2.5.3 Databricks Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.5.4 Databricks Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.5.5 Databricks Recent Developments and Future Plans
- 2.6 TIBCO Software
- 2.6.1 TIBCO Software Details
- 2.6.2 TIBCO Software Major Business
- 2.6.3 TIBCO Software Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.6.4 TIBCO Software Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.6.5 TIBCO Software Recent Developments and Future Plans
- 2.7 Dataiku
- 2.7.1 Dataiku Details
- 2.7.2 Dataiku Major Business
- 2.7.3 Dataiku Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.7.4 Dataiku Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.7.5 Dataiku Recent Developments and Future Plans
- 2.8 H2O.ai
- 2.8.1 H2O.ai Details
- 2.8.2 H2O.ai Major Business
- 2.8.3 H2O.ai Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.8.4 H2O.ai Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.8.5 H2O.ai Recent Developments and Future Plans
- 2.9 IBM
- 2.9.1 IBM Details
- 2.9.2 IBM Major Business
- 2.9.3 IBM Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.9.4 IBM Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.9.5 IBM Recent Developments and Future Plans
- 2.10 Microsoft
- 2.10.1 Microsoft Details
- 2.10.2 Microsoft Major Business
- 2.10.3 Microsoft Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.10.4 Microsoft Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.10.5 Microsoft Recent Developments and Future Plans
- 2.11 Google
- 2.11.1 Google Details
- 2.11.2 Google Major Business
- 2.11.3 Google Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.11.4 Google Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.11.5 Google Recent Developments and Future Plans
- 2.12 KNIME
- 2.12.1 KNIME Details
- 2.12.2 KNIME Major Business
- 2.12.3 KNIME Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.12.4 KNIME Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.12.5 KNIME Recent Developments and Future Plans
- 2.13 DataRobot
- 2.13.1 DataRobot Details
- 2.13.2 DataRobot Major Business
- 2.13.3 DataRobot Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.13.4 DataRobot Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.13.5 DataRobot Recent Developments and Future Plans
- 2.14 RapidMiner
- 2.14.1 RapidMiner Details
- 2.14.2 RapidMiner Major Business
- 2.14.3 RapidMiner Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.14.4 RapidMiner Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.14.5 RapidMiner Recent Developments and Future Plans
- 2.15 Anaconda
- 2.15.1 Anaconda Details
- 2.15.2 Anaconda Major Business
- 2.15.3 Anaconda Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.15.4 Anaconda Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.15.5 Anaconda Recent Developments and Future Plans
- 2.16 Domino
- 2.16.1 Domino Details
- 2.16.2 Domino Major Business
- 2.16.3 Domino Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.16.4 Domino Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.16.5 Domino Recent Developments and Future Plans
- 2.17 Altair
- 2.17.1 Altair Details
- 2.17.2 Altair Major Business
- 2.17.3 Altair Automated Data Science and Machine Learning Platforms Product and Solutions
- 2.17.4 Altair Automated Data Science and Machine Learning Platforms Revenue, Gross Margin and Market Share (2019-2024)
- 2.17.5 Altair Recent Developments and Future Plans
3 Market Competition, by Players
- 3.1 Global Automated Data Science and Machine Learning Platforms Revenue and Share by Players (2019-2024)
- 3.2 Market Share Analysis (2023)
- 3.2.1 Market Share of Automated Data Science and Machine Learning Platforms by Company Revenue
- 3.2.2 Top 3 Automated Data Science and Machine Learning Platforms Players Market Share in 2023
- 3.2.3 Top 6 Automated Data Science and Machine Learning Platforms Players Market Share in 2023
- 3.3 Automated Data Science and Machine Learning Platforms Market: Overall Company Footprint Analysis
- 3.3.1 Automated Data Science and Machine Learning Platforms Market: Region Footprint
- 3.3.2 Automated Data Science and Machine Learning Platforms Market: Company Product Type Footprint
- 3.3.3 Automated Data Science and Machine Learning Platforms Market: Company Product Application Footprint
- 3.4 New Market Entrants and Barriers to Market Entry
- 3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
- 4.1 Global Automated Data Science and Machine Learning Platforms Consumption Value and Market Share by Type (2019-2024)
- 4.2 Global Automated Data Science and Machine Learning Platforms Market Forecast by Type (2025-2030)
5 Market Size Segment by Application
- 5.1 Global Automated Data Science and Machine Learning Platforms Consumption Value Market Share by Application (2019-2024)
- 5.2 Global Automated Data Science and Machine Learning Platforms Market Forecast by Application (2025-2030)
6 North America
- 6.1 North America Automated Data Science and Machine Learning Platforms Consumption Value by Type (2019-2030)
- 6.2 North America Automated Data Science and Machine Learning Platforms Consumption Value by Application (2019-2030)
- 6.3 North America Automated Data Science and Machine Learning Platforms Market Size by Country
- 6.3.1 North America Automated Data Science and Machine Learning Platforms Consumption Value by Country (2019-2030)
- 6.3.2 United States Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 6.3.3 Canada Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 6.3.4 Mexico Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
7 Europe
- 7.1 Europe Automated Data Science and Machine Learning Platforms Consumption Value by Type (2019-2030)
- 7.2 Europe Automated Data Science and Machine Learning Platforms Consumption Value by Application (2019-2030)
- 7.3 Europe Automated Data Science and Machine Learning Platforms Market Size by Country
- 7.3.1 Europe Automated Data Science and Machine Learning Platforms Consumption Value by Country (2019-2030)
- 7.3.2 Germany Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 7.3.3 France Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 7.3.4 United Kingdom Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 7.3.5 Russia Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 7.3.6 Italy Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
8 Asia-Pacific
- 8.1 Asia-Pacific Automated Data Science and Machine Learning Platforms Consumption Value by Type (2019-2030)
- 8.2 Asia-Pacific Automated Data Science and Machine Learning Platforms Consumption Value by Application (2019-2030)
- 8.3 Asia-Pacific Automated Data Science and Machine Learning Platforms Market Size by Region
- 8.3.1 Asia-Pacific Automated Data Science and Machine Learning Platforms Consumption Value by Region (2019-2030)
- 8.3.2 China Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 8.3.3 Japan Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 8.3.4 South Korea Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 8.3.5 India Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 8.3.6 Southeast Asia Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 8.3.7 Australia Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
9 South America
- 9.1 South America Automated Data Science and Machine Learning Platforms Consumption Value by Type (2019-2030)
- 9.2 South America Automated Data Science and Machine Learning Platforms Consumption Value by Application (2019-2030)
- 9.3 South America Automated Data Science and Machine Learning Platforms Market Size by Country
- 9.3.1 South America Automated Data Science and Machine Learning Platforms Consumption Value by Country (2019-2030)
- 9.3.2 Brazil Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 9.3.3 Argentina Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
10 Middle East & Africa
- 10.1 Middle East & Africa Automated Data Science and Machine Learning Platforms Consumption Value by Type (2019-2030)
- 10.2 Middle East & Africa Automated Data Science and Machine Learning Platforms Consumption Value by Application (2019-2030)
- 10.3 Middle East & Africa Automated Data Science and Machine Learning Platforms Market Size by Country
- 10.3.1 Middle East & Africa Automated Data Science and Machine Learning Platforms Consumption Value by Country (2019-2030)
- 10.3.2 Turkey Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 10.3.3 Saudi Arabia Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
- 10.3.4 UAE Automated Data Science and Machine Learning Platforms Market Size and Forecast (2019-2030)
11 Market Dynamics
- 11.1 Automated Data Science and Machine Learning Platforms Market Drivers
- 11.2 Automated Data Science and Machine Learning Platforms Market Restraints
- 11.3 Automated Data Science and Machine Learning Platforms Trends Analysis
- 11.4 Porters Five Forces Analysis
- 11.4.1 Threat of New Entrants
- 11.4.2 Bargaining Power of Suppliers
- 11.4.3 Bargaining Power of Buyers
- 11.4.4 Threat of Substitutes
- 11.4.5 Competitive Rivalry
12 Industry Chain Analysis
- 12.1 Automated Data Science and Machine Learning Platforms Industry Chain
- 12.2 Automated Data Science and Machine Learning Platforms Upstream Analysis
- 12.3 Automated Data Science and Machine Learning Platforms Midstream Analysis
- 12.4 Automated Data Science and Machine Learning Platforms Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
- 14.1 Methodology
- 14.2 Research Process and Data Source
Summary:
Get latest Market Research Reports on Automated Data Science and Machine Learning Platforms. Industry analysis & Market Report on Automated Data Science and Machine Learning Platforms is a syndicated market report, published as Global Automated Data Science and Machine Learning Platforms Market 2024 by Company, Regions, Type and Application, Forecast to 2030. It is complete Research Study and Industry Analysis of Automated Data Science and Machine Learning Platforms market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.
REPORT YOU MIGHT BE INTERESTED
Related Reports
Reason to Buy
Reports and Markets
Contact Us
+1-352-353-0818 (US)Newsletter
KEEP UP TO DATE ON ALL THE LATEST REPORTS
