PUBLISHER: QKS Group | PRODUCT CODE: 1669181
PUBLISHER: QKS Group | PRODUCT CODE: 1669181
Market Share and Forecast: Data Science and Machine Learning Platforms, 2023-2028, 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 35% by 2028 in China.
In China, the market for Data Science and Machine Learning platforms is rapidly advancing, underpinned by substantial investments in AI and technology infrastructure. Dominated by major domestic players such as Alibaba Cloud, Tencent Cloud, and Baidu AI Cloud, these platforms provide comprehensive solutions for data analytics, machine learning, and AI applications, catering to diverse sectors including finance, retail, healthcare, and smart city initiatives. These Chinese tech giants are complemented by a growing number of innovative startups and research institutions that are driving significant advancements in AI technologies. Government policies and strategic initiatives, such as the "New Generation Artificial Intelligence Development Plan," are actively promoting the integration of AI across industries, further accelerating market growth. Additionally, China's vast amount of data generated by its large population and digital economy provides a rich resource for developing sophisticated AI and machine learning models. The market is characterized by fierce competition and rapid innovation, positioning China as a global leader in the Data Science and Machine Learning landscape.
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 30% by 2028 in China.
The market forecast for Data Science and Machine Learning Platforms in China through 2028 anticipates robust growth driven by extensive government support, rapid technological advancements, and the widespread adoption of AI across various industries. China's strategic initiatives such as the New Generation Artificial Intelligence Development Plan are propelling the country to become a global leader in AI innovation and deployment. Key growth drivers include the integration of AI into smart cities, healthcare systems, and autonomous vehicles, supported by massive datasets and advancements in deep learning algorithms. Cloud computing and edge computing technologies are expected to play a crucial role in scaling AI applications across China, catering to the diverse needs of businesses and consumers alike. Challenges such as data privacy concerns, regulatory frameworks, and international trade dynamics may influence market dynamics. However, collaborations between tech giants, startups, and academic institutions are likely to foster innovation and drive the development of tailored AI solutions for the Chinese market. Overall, China presents a dynamic and expanding market for Data Science and Machine Learning Platforms, characterized by rapid technological evolution, strategic government initiatives, and a robust ecosystem supporting AI-driven growth across industries.
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
- China Market Share
- 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
- China Market Share by Deployment Type
- Market Share by Deployment Type: On prem
- Market Share by Deployment Type: Cloud
- 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
- China Market Forecast
- 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
- China Market Forecast by Deployment Type
- Market Forecast by Deployment Type: On prem
- Market Forecast by Deployment Type: Cloud
- 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 China, 2023
- Fig. 2 China Market Share of Data Science & Machine Learning Platforms IT & Telecom Industry, 2023
- Fig. 3 China Market Share of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2023
- Fig. 4 China Market Share of Data Science & Machine Learning Platforms Insurance Industry, 2023
- Fig. 5 China Market Share of Data Science & Machine Learning Platforms Healthcare Industry, 2023
- Fig. 6 China Market Share of Data Science & Machine Learning Platforms Government & Public Sector, 2023
- Fig. 7 China Market Share of Data Science & Machine Learning Platforms Retail & eCommerce, 2023
- Fig. 8 China Market Share of Data Science & Machine Learning Platforms Manufacturing, 2023
- Fig. 9 China Market Share of Data Science & Machine Learning Platforms Hospitality, 2023
- Fig. 10 China Market Share of Data Science & Machine Learning Platforms On-premises Deployment, 2023
- Fig. 11 China Market Share of Data Science & Machine Learning Platforms Cloud Deployment, 2023
- Fig. 12 China Market Share of Data Science & Machine Learning Platforms SMB Customers, 2023
- Fig. 13 China Market Share of Data Science & Machine Learning Platforms Large Customers, 2023
- Fig. 14 China Market Share of Data Science & Machine Learning Platforms Enterprise Customers, 2023
Market Forecast:
- Fig. 1 Market Forecast of Data Science & Machine Learning Platforms 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
