Industry: Service & Software
Published Date: 2024-04-06
Pages: 111 Pages
Report ld: 2789629
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Market Analysis and Insights: Global Data Science and ML Platforms Market
The global Data Science and ML Platforms market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The US & Canada market for Data Science and ML Platforms is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for Data Science and ML Platforms is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The Europe market for Data Science and ML Platforms is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The global key companies of Data Science and ML Platforms include Palantier, MathWorks, Alteryx, SAS, Databricks, TIBCO Software, Dataiku, H2O.ai and IBM, etc. In 2023, the global top five players had a share approximately % in terms of revenue.
Data Science and ML Platforms is widely used in various fields, such as Small and Medium Enterprises (SMEs) and Large Enterprises, etc. Small and Medium Enterprises (SMEs) provides greatest supports to the Data Science and ML Platforms industry development. In 2023, global % revenue of Data Science and ML Platforms went into Small and Medium Enterprises (SMEs) filed and the proportion will reach to % in 2030.
Report Covers:
This report presents an overview of global market for Data Science and ML Platforms market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Data Science and ML Platforms, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Data Science and ML Platforms, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Data Science and ML Platforms revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Data Science and ML Platforms market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Data Science and ML Platforms revenue, projected growth trends, production technology, application and end-user industry.
MARKET SEGMENTATION
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Science and ML Platforms Market Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Data Science and ML Platforms Market Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Small and Medium Enterprises (SMEs)
1.3.3 Large Enterprises
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Science and ML Platforms Market Perspective (2019-2030)
2.2 Global Data Science and ML Platforms Growth Trends by Region
2.2.1 Data Science and ML Platforms Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Data Science and ML Platforms Historic Market Size by Region (2019-2024)
2.2.3 Data Science and ML Platforms Forecasted Market Size by Region (2025-2030)
2.3 Data Science and ML Platforms Market Dynamics
2.3.1 Data Science and ML Platforms Industry Trends
2.3.2 Data Science and ML Platforms Market Drivers
2.3.3 Data Science and ML Platforms Market Challenges
2.3.4 Data Science and ML Platforms Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Data Science and ML Platforms by Players
3.1.1 Global Data Science and ML Platforms Revenue by Players (2019-2024)
3.1.2 Global Data Science and ML Platforms Revenue Market Share by Players (2019-2024)
3.2 Global Data Science and ML Platforms Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Data Science and ML Platforms, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Data Science and ML Platforms Market Concentration Ratio
3.4.1 Global Data Science and ML Platforms Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Science and ML Platforms Revenue in 2023
3.5 Global Key Players of Data Science and ML Platforms Head office and Area Served
3.6 Global Key Players of Data Science and ML Platforms, Product and Application
3.7 Global Key Players of Data Science and ML Platforms, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Science and ML Platforms Breakdown Data by Type
4.1 Global Data Science and ML Platforms Historic Market Size by Type (2019-2024)
4.2 Global Data Science and ML Platforms Forecasted Market Size by Type (2025-2030)
5 Data Science and ML Platforms Breakdown Data by Application
5.1 Global Data Science and ML Platforms Historic Market Size by Application (2019-2024)
5.2 Global Data Science and ML Platforms Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Data Science and ML Platforms Market Size (2019-2030)
6.2 North America Data Science and ML Platforms Market Size by Type
6.2.1 North America Data Science and ML Platforms Market Size by Type (2019-2024)
6.2.2 North America Data Science and ML Platforms Market Size by Type (2025-2030)
6.2.3 North America Data Science and ML Platforms Market Share by Type (2019-2030)
6.3 North America Data Science and ML Platforms Market Size by Application
6.3.1 North America Data Science and ML Platforms Market Size by Application (2019-2024)
6.3.2 North America Data Science and ML Platforms Market Size by Application (2025-2030)
6.3.3 North America Data Science and ML Platforms Market Share by Application (2019-2030)
6.4 North America Data Science and ML Platforms Market Size by Country
6.4.1 North America Data Science and ML Platforms Market Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Data Science and ML Platforms Market Size by Country (2019-2024)
6.4.3 North America Data Science and ML Platforms Market Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Data Science and ML Platforms Market Size (2019-2030)
7.2 Europe Data Science and ML Platforms Market Size by Type
7.2.1 Europe Data Science and ML Platforms Market Size by Type (2019-2024)
7.2.2 Europe Data Science and ML Platforms Market Size by Type (2025-2030)
7.2.3 Europe Data Science and ML Platforms Market Share by Type (2019-2030)
7.3 Europe Data Science and ML Platforms Market Size by Application
7.3.1 Europe Data Science and ML Platforms Market Size by Application (2019-2024)
7.3.2 Europe Data Science and ML Platforms Market Size by Application (2025-2030)
7.3.3 Europe Data Science and ML Platforms Market Share by Application (2019-2030)
7.4 Europe Data Science and ML Platforms Market Size by Country
7.4.1 Europe Data Science and ML Platforms Market Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Data Science and ML Platforms Market Size by Country (2019-2024)
7.4.3 Europe Data Science and ML Platforms Market Size by Country (2025-2030)
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 China
8.1 China Data Science and ML Platforms Market Size (2019-2030)
8.2 China Data Science and ML Platforms Market Size by Type
8.2.1 China Data Science and ML Platforms Market Size by Type (2019-2024)
8.2.2 China Data Science and ML Platforms Market Size by Type (2025-2030)
8.2.3 China Data Science and ML Platforms Market Share by Type (2019-2030)
8.3 China Data Science and ML Platforms Market Size by Application
8.3.1 China Data Science and ML Platforms Market Size by Application (2019-2024)
8.3.2 China Data Science and ML Platforms Market Size by Application (2025-2030)
8.3.3 China Data Science and ML Platforms Market Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Data Science and ML Platforms Market Size (2019-2030)
9.2 Asia Data Science and ML Platforms Market Size by Type
9.2.1 Asia Data Science and ML Platforms Market Size by Type (2019-2024)
9.2.2 Asia Data Science and ML Platforms Market Size by Type (2025-2030)
9.2.3 Asia Data Science and ML Platforms Market Share by Type (2019-2030)
9.3 Asia Data Science and ML Platforms Market Size by Application
9.3.1 Asia Data Science and ML Platforms Market Size by Application (2019-2024)
9.3.2 Asia Data Science and ML Platforms Market Size by Application (2025-2030)
9.3.3 Asia Data Science and ML Platforms Market Share by Application (2019-2030)
9.4 Asia Data Science and ML Platforms Market Size by Region
9.4.1 Asia Data Science and ML Platforms Market Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Data Science and ML Platforms Market Size by Region (2019-2024)
9.4.3 Asia Data Science and ML Platforms Market Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Data Science and ML Platforms Market Size (2019-2030)
10.2 Middle East, Africa, and Latin America Data Science and ML Platforms Market Size by Type
10.2.1 Middle East, Africa, and Latin America Data Science and ML Platforms Market Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Data Science and ML Platforms Market Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Data Science and ML Platforms Market Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Data Science and ML Platforms Market Size by Application
10.3.1 Middle East, Africa, and Latin America Data Science and ML Platforms Market Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Data Science and ML Platforms Market Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Data Science and ML Platforms Market Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Data Science and ML Platforms Market Size by Country
10.4.1 Middle East, Africa, and Latin America Data Science and ML Platforms Market Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Data Science and ML Platforms Market Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Data Science and ML Platforms Market Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Palantier
11.1.1 Palantier Company Details
11.1.2 Palantier Business Overview
11.1.3 Palantier Data Science and ML Platforms Introduction
11.1.4 Palantier Revenue in Data Science and ML Platforms Business (2019-2024)
11.1.5 Palantier Recent Developments
11.2 MathWorks
11.2.1 MathWorks Company Details
11.2.2 MathWorks Business Overview
11.2.3 MathWorks Data Science and ML Platforms Introduction
11.2.4 MathWorks Revenue in Data Science and ML Platforms Business (2019-2024)
11.2.5 MathWorks Recent Developments
11.3 Alteryx
11.3.1 Alteryx Company Details
11.3.2 Alteryx Business Overview
11.3.3 Alteryx Data Science and ML Platforms Introduction
11.3.4 Alteryx Revenue in Data Science and ML Platforms Business (2019-2024)
11.3.5 Alteryx Recent Developments
11.4 SAS
11.4.1 SAS Company Details
11.4.2 SAS Business Overview
11.4.3 SAS Data Science and ML Platforms Introduction
11.4.4 SAS Revenue in Data Science and ML Platforms Business (2019-2024)
11.4.5 SAS Recent Developments
11.5 Databricks
11.5.1 Databricks Company Details
11.5.2 Databricks Business Overview
11.5.3 Databricks Data Science and ML Platforms Introduction
11.5.4 Databricks Revenue in Data Science and ML Platforms Business (2019-2024)
11.5.5 Databricks Recent Developments
11.6 TIBCO Software
11.6.1 TIBCO Software Company Details
11.6.2 TIBCO Software Business Overview
11.6.3 TIBCO Software Data Science and ML Platforms Introduction
11.6.4 TIBCO Software Revenue in Data Science and ML Platforms Business (2019-2024)
11.6.5 TIBCO Software Recent Developments
11.7 Dataiku
11.7.1 Dataiku Company Details
11.7.2 Dataiku Business Overview
11.7.3 Dataiku Data Science and ML Platforms Introduction
11.7.4 Dataiku Revenue in Data Science and ML Platforms Business (2019-2024)
11.7.5 Dataiku Recent Developments
11.8 H2O.ai
11.8.1 H2O.ai Company Details
11.8.2 H2O.ai Business Overview
11.8.3 H2O.ai Data Science and ML Platforms Introduction
11.8.4 H2O.ai Revenue in Data Science and ML Platforms Business (2019-2024)
11.8.5 H2O.ai Recent Developments
11.9 IBM
11.9.1 IBM Company Details
11.9.2 IBM Business Overview
11.9.3 IBM Data Science and ML Platforms Introduction
11.9.4 IBM Revenue in Data Science and ML Platforms Business (2019-2024)
11.9.5 IBM Recent Developments
11.10 Microsoft
11.10.1 Microsoft Company Details
11.10.2 Microsoft Business Overview
11.10.3 Microsoft Data Science and ML Platforms Introduction
11.10.4 Microsoft Revenue in Data Science and ML Platforms Business (2019-2024)
11.10.5 Microsoft Recent Developments
11.11 Google
11.11.1 Google Company Details
11.11.2 Google Business Overview
11.11.3 Google Data Science and ML Platforms Introduction
11.11.4 Google Revenue in Data Science and ML Platforms Business (2019-2024)
11.11.5 Google Recent Developments
11.12 KNIME
11.12.1 KNIME Company Details
11.12.2 KNIME Business Overview
11.12.3 KNIME Data Science and ML Platforms Introduction
11.12.4 KNIME Revenue in Data Science and ML Platforms Business (2019-2024)
11.12.5 KNIME Recent Developments
11.13 DataRobot
11.13.1 DataRobot Company Details
11.13.2 DataRobot Business Overview
11.13.3 DataRobot Data Science and ML Platforms Introduction
11.13.4 DataRobot Revenue in Data Science and ML Platforms Business (2019-2024)
11.13.5 DataRobot Recent Developments
11.14 RapidMiner
11.14.1 RapidMiner Company Details
11.14.2 RapidMiner Business Overview
11.14.3 RapidMiner Data Science and ML Platforms Introduction
11.14.4 RapidMiner Revenue in Data Science and ML Platforms Business (2019-2024)
11.14.5 RapidMiner Recent Developments
11.15 Anaconda
11.15.1 Anaconda Company Details
11.15.2 Anaconda Business Overview
11.15.3 Anaconda Data Science and ML Platforms Introduction
11.15.4 Anaconda Revenue in Data Science and ML Platforms Business (2019-2024)
11.15.5 Anaconda Recent Developments
11.16 Domino
11.16.1 Domino Company Details
11.16.2 Domino Business Overview
11.16.3 Domino Data Science and ML Platforms Introduction
11.16.4 Domino Revenue in Data Science and ML Platforms Business (2019-2024)
11.16.5 Domino Recent Developments
11.17 Altair
11.17.1 Altair Company Details
11.17.2 Altair Business Overview
11.17.3 Altair Data Science and ML Platforms Introduction
11.17.4 Altair Revenue in Data Science and ML Platforms Business (2019-2024)
11.17.5 Altair 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 Disclaimer
13.3 Author Details
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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