Market Share: Data Science and Machine Learning Platforms, 2025, Central and Eastern Europe

QKS Group Reveals that Data Science and Machine Learning Platforms Market is Projected to Register a CAGR of 30% by 2030, Central and Eastern Europe. 

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 DTO Market Share Analysis 

Chapter 04: Market Share Analysis 

• Market Share Central and Eastern Europe 
• 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 Central and Eastern Europe, 2025 
• Fig. 2 Canada Market Share of Data Science & Machine Learning Platforms IT & Telecom Industry, 2025 
• Fig. 3 Canada Market Share of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2025 
• Fig. 4 Canada Market Share of Data Science & Machine Learning Platforms Insurance Industry, 2025 
• Fig. 5 Canada Market Share of Data Science & Machine Learning Platforms Healthcare Industry, 2025 
• Fig. 6 Canada Market Share of Data Science & Machine Learning Platforms Government & Public Sector, 2025 
• Fig. 7 Canada Market Share of Data Science & Machine Learning Platforms Retail & eCommerce, 2025 
• Fig. 8 Canada Market Share of Data Science & Machine Learning Platforms Manufacturing, 2025 
• Fig. 9 Canada Market Share of Data Science & Machine Learning Platforms Hospitality, 2025 
• Fig. 10 Canada Market Share of Data Science & Machine Learning Platforms On-premises Deployment, 2025 
• Fig. 11 Canada Market Share of Data Science & Machine Learning Platforms Cloud Deployment, 2025 
• Fig. 12 Canada Market Share of Data Science & Machine Learning Platforms SMB Customers, 2025 
• Fig. 13 Canada Market Share of Data Science & Machine Learning Platforms Large Customers, 2025 
• Fig. 14 Canada Market Share of Data Science & Machine Learning Platforms Enterprise Customers, 2025 

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Our custom research service is designed to meet the client’s specific requirements by providing a customized in-depth analysis of the technology market to meet your strategic needs. Further, our custom research and consulting services deliverable is uniquely effective, powerful, innovative, and realistic for helping companies successfully address business challenges. Our team of experienced consultants can help you in achieving short-term and long-term business goals in the following ways: 

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