Global Data Science Platform Services Market Research Report 2024

Publication ID:

PB506242999

Publication Date:

June 19, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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 Data Science Platform Services market was valued at US$ 4790 million in 2023 and is anticipated to reach US$ 20150 million by 2030, witnessing 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.
This report aims to provide a comprehensive presentation of the global market for Data Science Platform Services, 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.
Report Scope
The Data Science Platform Services market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Data Science Platform Services market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Data Science Platform Services companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
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
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Data Science Platform Services companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Science Platform Services 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 Platform Services Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Marketing
1.3.3 Sales
1.3.4 Logistics
1.3.5 Finance and Accounting
1.3.6 Customer Support
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Science Platform Services Market Perspective (2019-2030)
2.2 Data Science Platform Services Growth Trends by Region
2.2.1 Global Data Science Platform Services Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Data Science Platform Services Historic Market Size by Region (2019-2024)
2.2.3 Data Science Platform Services Forecasted Market Size by Region (2025-2030)
2.3 Data Science Platform Services Market Dynamics
2.3.1 Data Science Platform Services Industry Trends
2.3.2 Data Science Platform Services Market Drivers
2.3.3 Data Science Platform Services Market Challenges
2.3.4 Data Science Platform Services Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Science Platform Services Players by Revenue
3.1.1 Global Top Data Science Platform Services Players by Revenue (2019-2024)
3.1.2 Global Data Science Platform Services Revenue Market Share by Players (2019-2024)
3.2 Global Data Science Platform Services Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Science Platform Services Revenue
3.4 Global Data Science Platform Services Market Concentration Ratio
3.4.1 Global Data Science Platform Services Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Science Platform Services Revenue in 2023
3.5 Data Science Platform Services Key Players Head office and Area Served
3.6 Key Players Data Science Platform Services Product Solution and Service
3.7 Date of Enter into Data Science Platform Services Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Science Platform Services Breakdown Data by Type
4.1 Global Data Science Platform Services Historic Market Size by Type (2019-2024)
4.2 Global Data Science Platform Services Forecasted Market Size by Type (2025-2030)
5 Data Science Platform Services Breakdown Data by Application
5.1 Global Data Science Platform Services Historic Market Size by Application (2019-2024)
5.2 Global Data Science Platform Services Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Data Science Platform Services Market Size (2019-2030)
6.2 North America Data Science Platform Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Data Science Platform Services Market Size by Country (2019-2024)
6.4 North America Data Science Platform Services Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Science Platform Services Market Size (2019-2030)
7.2 Europe Data Science Platform Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Data Science Platform Services Market Size by Country (2019-2024)
7.4 Europe Data Science Platform Services Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Data Science Platform Services Market Size (2019-2030)
8.2 Asia-Pacific Data Science Platform Services Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Data Science Platform Services Market Size by Region (2019-2024)
8.4 Asia-Pacific Data Science Platform Services Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Data Science Platform Services Market Size (2019-2030)
9.2 Latin America Data Science Platform Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Data Science Platform Services Market Size by Country (2019-2024)
9.4 Latin America Data Science Platform Services Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Science Platform Services Market Size (2019-2030)
10.2 Middle East & Africa Data Science Platform Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Data Science Platform Services Market Size by Country (2019-2024)
10.4 Middle East & Africa Data Science Platform Services Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM Corporation
11.1.1 IBM Corporation Company Detail
11.1.2 IBM Corporation Business Overview
11.1.3 IBM Corporation Data Science Platform Services Introduction
11.1.4 IBM Corporation Revenue in Data Science Platform Services Business (2019-2024)
11.1.5 IBM Corporation Recent Development
11.2 Microsoft Corporation
11.2.1 Microsoft Corporation Company Detail
11.2.2 Microsoft Corporation Business Overview
11.2.3 Microsoft Corporation Data Science Platform Services Introduction
11.2.4 Microsoft Corporation Revenue in Data Science Platform Services Business (2019-2024)
11.2.5 Microsoft Corporation Recent Development
11.3 Alphabet
11.3.1 Alphabet Company Detail
11.3.2 Alphabet Business Overview
11.3.3 Alphabet Data Science Platform Services Introduction
11.3.4 Alphabet Revenue in Data Science Platform Services Business (2019-2024)
11.3.5 Alphabet Recent Development
11.4 Altair Engineering
11.4.1 Altair Engineering Company Detail
11.4.2 Altair Engineering Business Overview
11.4.3 Altair Engineering Data Science Platform Services Introduction
11.4.4 Altair Engineering Revenue in Data Science Platform Services Business (2019-2024)
11.4.5 Altair Engineering Recent Development
11.5 Alteryx
11.5.1 Alteryx Company Detail
11.5.2 Alteryx Business Overview
11.5.3 Alteryx Data Science Platform Services Introduction
11.5.4 Alteryx Revenue in Data Science Platform Services Business (2019-2024)
11.5.5 Alteryx Recent Development
11.6 MathWorks
11.6.1 MathWorks Company Detail
11.6.2 MathWorks Business Overview
11.6.3 MathWorks Data Science Platform Services Introduction
11.6.4 MathWorks Revenue in Data Science Platform Services Business (2019-2024)
11.6.5 MathWorks Recent Development
11.7 SAS Institute
11.7.1 SAS Institute Company Detail
11.7.2 SAS Institute Business Overview
11.7.3 SAS Institute Data Science Platform Services Introduction
11.7.4 SAS Institute Revenue in Data Science Platform Services Business (2019-2024)
11.7.5 SAS Institute Recent Development
11.8 RapidMiner
11.8.1 RapidMiner Company Detail
11.8.2 RapidMiner Business Overview
11.8.3 RapidMiner Data Science Platform Services Introduction
11.8.4 RapidMiner Revenue in Data Science Platform Services Business (2019-2024)
11.8.5 RapidMiner Recent Development
11.9 Databricks
11.9.1 Databricks Company Detail
11.9.2 Databricks Business Overview
11.9.3 Databricks Data Science Platform Services Introduction
11.9.4 Databricks Revenue in Data Science Platform Services Business (2019-2024)
11.9.5 Databricks Recent Development
11.10 H2O.ai
11.10.1 H2O.ai Company Detail
11.10.2 H2O.ai Business Overview
11.10.3 H2O.ai Data Science Platform Services Introduction
11.10.4 H2O.ai Revenue in Data Science Platform Services Business (2019-2024)
11.10.5 H2O.ai Recent Development
11.11 Dataiku
11.11.1 Dataiku Company Detail
11.11.2 Dataiku Business Overview
11.11.3 Dataiku Data Science Platform Services Introduction
11.11.4 Dataiku Revenue in Data Science Platform Services Business (2019-2024)
11.11.5 Dataiku Recent Development
11.12 KNIME
11.12.1 KNIME Company Detail
11.12.2 KNIME Business Overview
11.12.3 KNIME Data Science Platform Services Introduction
11.12.4 KNIME Revenue in Data Science Platform Services Business (2019-2024)
11.12.5 KNIME Recent Development
11.13 Domino Data Lab
11.13.1 Domino Data Lab Company Detail
11.13.2 Domino Data Lab Business Overview
11.13.3 Domino Data Lab Data Science Platform Services Introduction
11.13.4 Domino Data Lab Revenue in Data Science Platform Services Business (2019-2024)
11.13.5 Domino Data Lab Recent Development
11.14 Cloudera
11.14.1 Cloudera Company Detail
11.14.2 Cloudera Business Overview
11.14.3 Cloudera Data Science Platform Services Introduction
11.14.4 Cloudera Revenue in Data Science Platform Services Business (2019-2024)
11.14.5 Cloudera Recent Development
11.15 DataRobot
11.15.1 DataRobot Company Detail
11.15.2 DataRobot Business Overview
11.15.3 DataRobot Data Science Platform Services Introduction
11.15.4 DataRobot Revenue in Data Science Platform Services Business (2019-2024)
11.15.5 DataRobot Recent Development
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

Companies Mentioned:

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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