Market Share: Data Science and Machine Learning Platforms, 2025, Worldwide

QKS Group reveals a Data Science and Machine Learning Platforms (DSML) market is expected to grow at a compound annual growth rate of 24.81% through 2030. 

The market for Data Science and Machine Learning (DSML) platforms is experiencing remarkable growth worldwide, driven by the increasing adoption of artificial intelligence (AI) and machine learning (ML) across various industries. Organizations are leveraging these platforms to gain insights from their data, automate processes, and make data-driven decisions. The global market is characterized by strong competition among leading tech giants such as Google, Microsoft, Amazon, IBM, and emerging players like DataRobot, Databricks, and H2O.ai.

These platforms offer a wide range of capabilities, including data preparation, model development, deployment, and monitoring, catering to both technical and non-technical users. The proliferation of cloud computing has significantly contributed to the market's expansion, enabling scalable and cost-effective DSML solutions. Additionally, the integration of DSML platforms with other technologies like big data, Internet of Things (IoT), and edge computing is further enhancing their utility and driving demand. The market is also seeing increased investments in research and development to improve platform functionalities and user experience. With an estimated global CAGR of around 30%, the DSML platforms market is set to continue its rapid expansion, reflecting the critical role of data science and machine learning in modern business strategies. 

According to Quadrant Knowledge Solutions, “A data science and machine learning platform is an integrated system/hub built on both code-based libraries and low-code/no-code tools. This platform enables collaboration among data scientists and other stakeholders like data engineers and business analyst across different stages of the data science lifecycle, such as business understanding, data access and preparation, visualization, experimentation, model building, and insight generation. The platform facilitates machine learning engineering tasks, covering data pipeline development, feature engineering, deployment, testing and predictive analysis. The platform gives options between local clients, browsers, or completely managed cloud services to businesses depending upon their requirements.”  

Key questions this study will answer: 

• What is the current state of competition in the Data Science & Machine Learning Platforms market? 
• What is the market share held by major vendors in this market? 
• What are the key competitive dynamics in the global and regional markets for Data Science & Machine Learning Platforms? 
• Who are the leading vendors in the global and regional markets? 
• Are there vendors specializing in specific industries? 
• How do different vendors compare in terms of their offerings of cloud-based versus on-premises solutions? 
• What competitive factors impact the market positioning of different vendors? 
• What are the relative strengths and challenges of the vendors operating in this market? 
• How do different vendors position themselves competitively across customer segments, from SMBs to large enterprises? 

Vendors covered in this Study: 

IBM, Mathworks, DataRobot, Dataiku, H2O.ai, SAS, Databricks, Alteryx, Altair, Iguazio, KNIME, Google, Microsoft, AWS, Cloudera, Samsung SDS, TIBCO Software, Tellius, Alibaba Cloud, dotDATA, Domino. 

Table of Content: 

Chapter 01: Executive Summary 

• Key Research Findings 
• Top Predictions 
• Top Trends 
• Market Summary 

Chapter 02: Market Overview 

• Market Definition and Scope 
• Key Factors Impacting the Market
  • Drivers & Restraints  

Chapter 03: Market Share Analysis- Worldwide  

• Global Data Science and Machine Learning Market Share Analysis 

Chapter 04: Market Share Analysis 

• Market Share by Region
  • Market Share Worldwide 
  • Market Share USA 
  • Market Share Canada  
  • Market Share Latin America 
  • Market Share Western Europe 
  • Market Share Central & Eastern Europe 
  • Market Share Middle East & Africa 
  • Market Share China 
  • Market Share APAC Ex Japan & China 
  • Market Share Japan 
• Market Share by Industry Verticals
  • Market Share by Media & Entertainment 
  • Market Share by Retail 
  • Market Share by BFSI 
  • Market Share by Travel & Hospitality 
  • Market Share by Education 
  • Market Share by Public Sector 
  • Market Share by Healthcare & Life Science 
  • Market Share by Automotive 
  • Market Share by Food & Beverage 
• Market Share by Deployment Type
  • Market Share by Deployment Type: On prem  
  • Market Share by Deployment Type: Cloud 
• Market Share by Customer Type
  • Market Share by SMB  
  • Market Share by Large  
  • Market Share by Enterprise  

Chapter 05: Company Profile 

• Company Overview  
• Analyst Perspectives and Analysis 

Chapter 06: Appendix 

• Research Methodologies 

List of Figures  

• Fig. 1 Market Share of Data Science & Machine Learning Platforms  Worldwide, 2025 
• Fig. 2 Market Share of Data Science & Machine Learning Platforms  USA, 2025 
• Fig. 3 Market Share of Data Science & Machine Learning Platforms  Canada, 2025 
• Fig. 4 Market Share of Data Science & Machine Learning Platforms  Latin America, 2025 
• Fig. 5 Market Share of Data Science & Machine Learning Platforms  Western Europe, 2025 
• Fig. 6 Market Share of Data Science & Machine Learning Platforms  Central & Eastern Europe, 2025 
• Fig. 7 Market Share of Data Science & Machine Learning Platforms  Middle East & Africa, 2025 
• Fig. 8 Market Share of Data Science & Machine Learning Platforms  Asia excluding Japan and China, 2025 
• Fig. 9 Market Share of Data Science & Machine Learning Platforms  Japan, 2025 
• Fig. 10 Market Share of Data Science & Machine Learning Platforms  China, 2025 
• Fig. 11 Market Share of Data Science & Machine Learning Platforms  IT & Telecom Industry, 2025 
• Fig. 12 Market Share of Data Science & Machine Learning Platforms  Banking & Financial Services Industry, 2025 
• Fig. 13 Market Share of Data Science & Machine Learning Platforms  Insurance Industry, 2025 
• Fig. 14 Market Share of Data Science & Machine Learning Platforms  Healthcare Industry, 2025 
• Fig. 15 Market Share of Data Science & Machine Learning Platforms  Government & Public Sector, 2025 
• Fig. 16 Market Share of Data Science & Machine Learning Platforms  Retail & eCommerce, 2025 
• Fig. 17 Market Share of Data Science & Machine Learning Platforms  Manufacturing, 2025 
• Fig. 18 Market Share of Data Science & Machine Learning Platforms  Hospitality, 2025 
• Fig. 19 Market Share of Data Science & Machine Learning Platforms  On-premises Deployment, 2025 
• Fig. 20 Market Share of Data Science & Machine Learning Platforms  Cloud Deployment, 2025 
• Fig. 21 Market Share of Data Science & Machine Learning Platforms  SMB Customers, 2025 
• Fig. 22 Market Share of Data Science & Machine Learning Platforms  Large Customers, 2025 
• Fig. 23 Market Share of Data Science & Machine Learning Platforms  Enterprise Customers, 2025 

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