PUBLISHER: QKS Group | PRODUCT CODE: 1669184
PUBLISHER: QKS Group | PRODUCT CODE: 1669184
Market Share and Forecast: Data Science and Machine Learning Platforms, 2023-2028, Asia (Excluding Japan and China) (Bundle of Two Reports)
This product includes two reports: Market Share and Market Forecast.
Market Share Description:
QKS Group Reveals that Data Science and Machine Learning Platforms Market is Projected to Register a CAGR of 34% by 2028 in Asia (Excluding Japan and China).
In Asia, excluding Japan and China, the market for Data Science and Machine Learning platforms is witnessing rapid growth and diversification fueled by technological advancements and digital transformation initiatives. Major global players such as Microsoft Azure, Google Cloud Platform, and Amazon Web Services (AWS) maintain significant market presence with their robust cloud-based solutions, offering advanced capabilities for data analytics, AI development, and machine learning applications. These platforms cater to a wide array of industries including finance, healthcare, e-commerce, and telecommunications, enabling businesses to derive actionable insights from large volumes of data. Regional players and startups are also emerging as key contributors, leveraging specialized solutions to address local market dynamics and regulatory requirements. Governments across the region are increasingly focusing on fostering innovation ecosystems, supporting infrastructure development, and enhancing digital literacy, which further accelerates the adoption of Data Science and Machine Learning technologies. With a burgeoning middle class and rapid urbanization, Asia presents a fertile ground for continued expansion and innovation in the Data Science and Machine Learning sector.
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."
Market Forecast Description:
QKS Group Reveals that Data Science and Machine Learning Platforms Market is Projected to Register a CAGR of 37% by 2028 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."
TABLE OF CONTENTS
Market Share:
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
- Asia (Excluding Japan and China) Market Share
- Asia (Excluding Japan and China) 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
- Asia (Excluding Japan and China) Market Share by Deployment Type
- Market Share by Deployment Type: On prem
- Market Share by Deployment Type: Cloud
- Asia (Excluding Japan and China) Market Share by Customer Type
- Market Share by SMB
- Market Share by Large
- Market Share by Enterprise
Chapter 04: Company Profile
- Company Overview
- Analyst Perspectives and Analysis
Chapter 05: Appendix
- Research Methodologies
Market Forecast:
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
Market Share:
- Fig. 1 Market Share of Data Science & Machine Learning Platforms Asia (Excluding Japan and China), 2023
- Fig. 2 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms IT & Telecom Industry, 2023
- Fig. 3 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2023
- Fig. 4 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms Insurance Industry, 2023
- Fig. 5 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms Healthcare Industry, 2023
- Fig. 6 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms Government & Public Sector, 2023
- Fig. 7 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms Retail & eCommerce, 2023
- Fig. 8 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms Manufacturing, 2023
- Fig. 9 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms Hospitality, 2023
- Fig. 10 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms On-premises Deployment, 2023
- Fig. 11 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms Cloud Deployment, 2023
- Fig. 12 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms SMB Customers, 2023
- Fig. 13 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms Large Customers, 2023
- Fig. 14 Asia (Excluding Japan and China) Market Share of Data Science & Machine Learning Platforms Enterprise Customers, 2023
Market Forecast:
- Fig. 1 Market Forecast of Data Science & Machine Learning Platforms Asia (Excluding Japan and China), 2024- 2028
- Fig. 2 Market Forecast of Data Science & Machine Learning Platforms IT & Telecom Industry, 2024- 2028
- 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, 2024- 2028
- Fig. 5 Market Forecast of Data Science & Machine Learning Platforms Healthcare Industry, 2024- 2028
- Fig. 6 Market Forecast of Data Science & Machine Learning Platforms Government & Public Sector, 2024- 2028
- Fig. 7 Market Forecast of Data Science & Machine Learning Platforms Retail & eCommerce, 2024- 2028
- Fig. 8 Market Forecast of Data Science & Machine Learning Platforms Manufacturing, 2024- 2028
- Fig. 9 Market Forecast of Data Science & Machine Learning Platforms Hospitality, 2024- 2028
- Fig. 10 Market Forecast of Data Science & Machine Learning Platforms On-premises Deployment, 2024- 2028
- Fig. 11 Market Forecast of Data Science & Machine Learning Platforms Cloud Deployment, 2024- 2028
- Fig. 12 Market Forecast of Data Science & Machine Learning Platforms SMB Customers, 2024- 2028
- Fig. 13 Market Forecast of Data Science & Machine Learning Platforms Large Customers, 2024- 2028
- Fig. 14 Market Forecast of Data Science & Machine Learning Platforms Enterprise Customers, 2024- 2028
