Market Forecast: Data Science and Machine Learning Platforms, 2026-2030, Asia (Excluding Japan and China)

QKS Group Reveals that Data Science and Machine Learning Platforms Market is Projected to Register a CAGR of 37% by 2030 in Asia (Excluding Japan and China). 

The market forecast for Data Science and Machine Learning Platforms in Asia excluding Japan and China through 2028 indicates substantial growth driven by rapid digitalization, increasing investments in AI technologies, and a dynamic startup ecosystem. Countries across Southeast Asia, South Asia, and other regions are embracing AI and data analytics to enhance productivity, competitiveness, and innovation across various sectors such as healthcare, finance, retail, and manufacturing. Key drivers include government initiatives promoting digital transformation, the proliferation of IoT devices generating vast amounts of data, and the adoption of cloud-based solutions for scalability and cost-efficiency.

Advances in deep learning, natural language processing, and predictive analytics are expected to further fuel demand for sophisticated AI platforms. Challenges such as data privacy regulations, infrastructure development, and skill shortages will influence market dynamics, but collaborations between governments, tech firms, and educational institutions are poised to mitigate these challenges and drive sustained growth. Overall, Asia excluding Japan and China presents a promising market opportunity for Data Science and Machine Learning Platforms, characterized by rapid technological advancement, increasing digital maturity, and a strategic focus on leveraging AI for economic growth and societal advancement. 

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 and future state of competition in the Data Science & Machine Learning Platforms Asia (Excluding Japan and China) market? 
• What will be the key competitive dynamics in Asia (Excluding Japan and China) markets for Data Science & Machine Learning Platforms  
• How do different vendors will position themselves in Asia (Excluding Japan and China) across customer segments, from SMBs to large enterprises by 2030?  
• How will different vendors compare in terms of their offerings of cloud-based versus on-premises solutions by 2030 in Asia (Excluding Japan and China)? 
• What are the relative strengths and challenges of the vendors operating in Asia (Excluding Japan and China) market? 
• What is the market forecast held by major industries in this market?  What competitive factors impact the market positioning of different vendors? 

 

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 Forecast Analysis 

• Asia (Excluding Japan and China) Market Forecast 
• Asia (Excluding Japan and China) Market Forecast by Industry Verticals
  • Market Forecast by Media & Entertainment 
  • Market Forecast by Retail 
  • Market Forecast by BFSI 
  • Market Forecast by Travel & Hospitality 
  • Market Forecast by Education 
  • Market Forecast by Public Sector 
  • Market Forecast by Healthcare & Life Science 
  • Market Forecast by Automotive 
  • Market Forecast by Food & Beverage 
• Asia (Excluding Japan and China) Market Forecast by Deployment Type
  • Market Forecast by Deployment Type: On prem  
  • Market Forecast by Deployment Type: Cloud 
• Asia (Excluding Japan and China) Market Forecast by Customer Type
  • Market Forecast by SMB  
  • Market Forecast by Large  
  • Market Forecast by Enterprise  

Chapter 04: Company Profile 

• Company Overview  
• Analyst Perspectives and Analysis 

Chapter 05: Appendix 

• Research Methodologies 

List of Figures  

• Fig. 1 Market Forecast of Data Science & Machine Learning Platforms Asia (Excluding Japan and China), 2026- 2030 
• Fig. 2 Market Forecast of Data Science & Machine Learning Platforms IT & Telecom Industry, 2026- 2030 
• Fig. 3 Market Forecast of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2023 
• Fig. 4 Market Forecast of Data Science & Machine Learning Platforms Insurance Industry, 2026- 2030 
• Fig. 5 Market Forecast of Data Science & Machine Learning Platforms Healthcare Industry, 2026- 2030 
• Fig. 6 Market Forecast of Data Science & Machine Learning Platforms Government & Public Sector, 2026- 2030 
• Fig. 7 Market Forecast of Data Science & Machine Learning Platforms Retail & eCommerce, 2026- 2030 
• Fig. 8 Market Forecast of Data Science & Machine Learning Platforms Manufacturing, 2026- 2030 
• Fig. 9 Market Forecast of Data Science & Machine Learning Platforms Hospitality, 2026- 2030 
• Fig. 10 Market Forecast of Data Science & Machine Learning Platforms On-premises Deployment, 2026- 2030 
• Fig. 11 Market Forecast of Data Science & Machine Learning Platforms Cloud Deployment, 2026- 2030 
• Fig. 12 Market Forecast of Data Science & Machine Learning Platforms SMB Customers, 2026- 2030 
• Fig. 13 Market Forecast of Data Science & Machine Learning Platforms Large Customers, 2026- 2030 
• Fig. 14 Market Forecast of Data Science & Machine Learning Platforms Enterprise Customers, 2026- 2030 

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