Data science platform services refer to the suite of tools, technologies, and capabilities that help organizations build, manage, and leverage data science environments. These services aim to facilitate the entire data science lifecycle, from data preparation and exploration to model development, deployment, and monitoring.
The global market for Data Science Platform Services was estimated to be worth US$ 4790 million in 2023 and is forecast to a readjusted size of US$ 20150 million by 2030 with a CAGR of 23.0% during the forecast period 2024-2030
The global data science platform services market refers to the market for products and services related to data science platforms. It encompasses the platforms, tools, and services that organizations use to build, deploy, and manage their data science environments.
The market for data science platform services has been experiencing significant growth in recent years, driven by the increasing demand for advanced analytics and the need to extract insights from vast amounts of data. Organizations across various industries, such as finance, healthcare, retail, and manufacturing, are adopting data science platforms to enhance decision-making, improve operational efficiency, and drive innovation.
Several factors are contributing to the growth of the global data science platform services market:
Growing Data Complexity: The increasing volume, variety, and velocity of data require advanced tools and platforms to handle and analyze data efficiently. Data science platforms provide the necessary capabilities to process and analyze complex data from multiple sources.
Advancements in AI and Machine Learning: The rapid developments in artificial intelligence (AI) and machine learning (ML) technologies are driving the adoption of data science platforms. These platforms provide the infrastructure and tools to develop, deploy, and operationalize AI and ML models.
Need for Collaboration and Integration: Collaborative features and integration capabilities offered by data science platforms are crucial for organizations to foster collaboration among data scientists, data engineers, and business users. These platforms enable seamless sharing of data, code, models, and insights, aiding in faster decision-making.
Adoption of Cloud Computing: The shift towards cloud computing has played a significant role in the growth of data science platforms. Cloud-based platforms offer scalability, flexibility, and cost-effectiveness, allowing organizations to leverage cutting-edge data science capabilities without heavy infrastructure investments.
Regulatory Compliance and Data Governance: With increased data privacy regulations, organizations require data science platforms that ensure data governance, compliance, and security. These platforms provide features to manage data access, track data lineage, and maintain audit trails.
Focus on Automated Machine Learning: The automation of machine learning processes is gaining traction in the data science community. Data science platforms that offer automated machine learning (AutoML) capabilities simplify and speed up the process of developing and deploying machine learning models.
The global data science platform services market is highly competitive, with several established players and new entrants vying for market share. Prominent vendors in the market include IBM Corporation, Microsoft Corporation, Alphabet, Altair Engineering, Alteryx, MathWorks, SAS Institute, and RapidMiner, among others.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data Science Platform Services, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Data Science Platform Services by region & country, by Type, and by Application.
The Data Science Platform Services market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Science Platform Services.
Market Segmentation
By Company
IBM Corporation
Microsoft Corporation
Alphabet
Altair Engineering
Alteryx
MathWorks
SAS Institute
RapidMiner
Databricks
H2O.ai
Dataiku
KNIME
Domino Data Lab
Cloudera
DataRobot
Segment by Type:
Cloud Based
On-premises
Segment by Application
Marketing
Sales
Logistics
Finance and Accounting
Customer Support
Others
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Data Science Platform Services manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Data Science Platform Services in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Data Science Platform Services in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Data Science Platform Services Product Introduction
1.2 Global Data Science Platform Services Market Size Forecast
1.3 Data Science Platform Services Market Trends & Drivers
1.3.1 Data Science Platform Services Industry Trends
1.3.2 Data Science Platform Services Market Drivers & Opportunity
1.3.3 Data Science Platform Services Market Challenges
1.3.4 Data Science Platform Services Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Data Science Platform Services Players Revenue Ranking (2023)
2.2 Global Data Science Platform Services Revenue by Company (2019-2024)
2.3 Key Companies Data Science Platform Services Manufacturing Base Distribution and Headquarters
2.4 Key Companies Data Science Platform Services Product Offered
2.5 Key Companies Time to Begin Mass Production of Data Science Platform Services
2.6 Data Science Platform Services Market Competitive Analysis
2.6.1 Data Science Platform Services Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Data Science Platform Services Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science Platform Services as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud Based
3.1.2 On-premises
3.2 Global Data Science Platform Services Sales Value by Type
3.2.1 Global Data Science Platform Services Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Data Science Platform Services Sales Value, by Type (2019-2030)
3.2.3 Global Data Science Platform Services Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Marketing
4.1.2 Sales
4.1.3 Logistics
4.1.4 Finance and Accounting
4.1.5 Customer Support
4.1.6 Others
4.2 Global Data Science Platform Services Sales Value by Application
4.2.1 Global Data Science Platform Services Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Data Science Platform Services Sales Value, by Application (2019-2030)
4.2.3 Global Data Science Platform Services Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Data Science Platform Services Sales Value by Region
5.1.1 Global Data Science Platform Services Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Data Science Platform Services Sales Value by Region (2019-2024)
5.1.3 Global Data Science Platform Services Sales Value by Region (2025-2030)
5.1.4 Global Data Science Platform Services Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Data Science Platform Services Sales Value, 2019-2030
5.2.2 North America Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Data Science Platform Services Sales Value, 2019-2030
5.3.2 Europe Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Data Science Platform Services Sales Value, 2019-2030
5.4.2 Asia Pacific Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Data Science Platform Services Sales Value, 2019-2030
5.5.2 South America Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Data Science Platform Services Sales Value, 2019-2030
5.6.2 Middle East & Africa Data Science Platform Services Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Data Science Platform Services Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Data Science Platform Services Sales Value
6.3 United States
6.3.1 United States Data Science Platform Services Sales Value, 2019-2030
6.3.2 United States Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Data Science Platform Services Sales Value, 2019-2030
6.4.2 Europe Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Data Science Platform Services Sales Value, 2019-2030
6.5.2 China Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.5.3 China Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Data Science Platform Services Sales Value, 2019-2030
6.6.2 Japan Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Data Science Platform Services Sales Value, 2019-2030
6.7.2 South Korea Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Data Science Platform Services Sales Value, 2019-2030
6.8.2 Southeast Asia Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Data Science Platform Services Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Data Science Platform Services Sales Value, 2019-2030
6.9.2 India Data Science Platform Services Sales Value by Type (%), 2023 VS 2030
6.9.3 India Data Science Platform Services Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM Corporation
7.1.1 IBM Corporation Profile
7.1.2 IBM Corporation Main Business
7.1.3 IBM Corporation Data Science Platform Services Products, Services and Solutions
7.1.4 IBM Corporation Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Corporation Recent Developments
7.2 Microsoft Corporation
7.2.1 Microsoft Corporation Profile
7.2.2 Microsoft Corporation Main Business
7.2.3 Microsoft Corporation Data Science Platform Services Products, Services and Solutions
7.2.4 Microsoft Corporation Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Corporation Recent Developments
7.3 Alphabet
7.3.1 Alphabet Profile
7.3.2 Alphabet Main Business
7.3.3 Alphabet Data Science Platform Services Products, Services and Solutions
7.3.4 Alphabet Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.3.5 Altair Engineering Recent Developments
7.4 Altair Engineering
7.4.1 Altair Engineering Profile
7.4.2 Altair Engineering Main Business
7.4.3 Altair Engineering Data Science Platform Services Products, Services and Solutions
7.4.4 Altair Engineering Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.4.5 Altair Engineering Recent Developments
7.5 Alteryx
7.5.1 Alteryx Profile
7.5.2 Alteryx Main Business
7.5.3 Alteryx Data Science Platform Services Products, Services and Solutions
7.5.4 Alteryx Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.5.5 Alteryx Recent Developments
7.6 MathWorks
7.6.1 MathWorks Profile
7.6.2 MathWorks Main Business
7.6.3 MathWorks Data Science Platform Services Products, Services and Solutions
7.6.4 MathWorks Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.6.5 MathWorks Recent Developments
7.7 SAS Institute
7.7.1 SAS Institute Profile
7.7.2 SAS Institute Main Business
7.7.3 SAS Institute Data Science Platform Services Products, Services and Solutions
7.7.4 SAS Institute Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.7.5 SAS Institute Recent Developments
7.8 RapidMiner
7.8.1 RapidMiner Profile
7.8.2 RapidMiner Main Business
7.8.3 RapidMiner Data Science Platform Services Products, Services and Solutions
7.8.4 RapidMiner Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.8.5 RapidMiner Recent Developments
7.9 Databricks
7.9.1 Databricks Profile
7.9.2 Databricks Main Business
7.9.3 Databricks Data Science Platform Services Products, Services and Solutions
7.9.4 Databricks Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.9.5 Databricks Recent Developments
7.10 H2O.ai
7.10.1 H2O.ai Profile
7.10.2 H2O.ai Main Business
7.10.3 H2O.ai Data Science Platform Services Products, Services and Solutions
7.10.4 H2O.ai Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.10.5 H2O.ai Recent Developments
7.11 Dataiku
7.11.1 Dataiku Profile
7.11.2 Dataiku Main Business
7.11.3 Dataiku Data Science Platform Services Products, Services and Solutions
7.11.4 Dataiku Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.11.5 Dataiku Recent Developments
7.12 KNIME
7.12.1 KNIME Profile
7.12.2 KNIME Main Business
7.12.3 KNIME Data Science Platform Services Products, Services and Solutions
7.12.4 KNIME Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.12.5 KNIME Recent Developments
7.13 Domino Data Lab
7.13.1 Domino Data Lab Profile
7.13.2 Domino Data Lab Main Business
7.13.3 Domino Data Lab Data Science Platform Services Products, Services and Solutions
7.13.4 Domino Data Lab Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.13.5 Domino Data Lab Recent Developments
7.14 Cloudera
7.14.1 Cloudera Profile
7.14.2 Cloudera Main Business
7.14.3 Cloudera Data Science Platform Services Products, Services and Solutions
7.14.4 Cloudera Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.14.5 Cloudera Recent Developments
7.15 DataRobot
7.15.1 DataRobot Profile
7.15.2 DataRobot Main Business
7.15.3 DataRobot Data Science Platform Services Products, Services and Solutions
7.15.4 DataRobot Data Science Platform Services Revenue (US$ Million) & (2019-2024)
7.15.5 DataRobot Recent Developments
8 Industry Chain Analysis
8.1 Data Science Platform Services Industrial Chain
8.2 Data Science Platform Services Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Data Science Platform Services Sales Model
8.5.2 Sales Channel
8.5.3 Data Science Platform Services Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
IBM Corporation
Microsoft Corporation
Alphabet
Altair Engineering
Alteryx
MathWorks
SAS Institute
RapidMiner
Databricks
H2O.ai
Dataiku
KNIME
Domino Data Lab
Cloudera
DataRobot
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*If Applicable.
