PUBLISHER: QKS Group | PRODUCT CODE: 1669180
PUBLISHER: QKS Group | PRODUCT CODE: 1669180
Market Share and Forecast: Data Science and Machine Learning Platforms, 2023-2028, Japan (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 31% by 2028 in Japan.
In Japan, the market for Data Science and Machine Learning platforms is characterized by strong technological prowess and a robust ecosystem supported by leading global and local players. Major multinational corporations such as Microsoft Azure, Google Cloud Platform, and Amazon Web Services (AWS) dominate with their comprehensive cloud-based solutions tailored for data analytics, AI development, and machine learning applications. These platforms cater to a diverse range of industries including automotive, electronics, finance, and healthcare, helping businesses leverage data-driven insights for operational efficiency and strategic decision-making. Additionally, Japan boasts a thriving community of technology startups and research institutions pioneering advancements in AI and machine learning. Government initiatives and policies promoting digital transformation and innovation further bolster the market's growth. With a culture of innovation and a highly skilled workforce, Japan continues to be a leading hub for cutting-edge developments in Data Science and Machine Learning technologies.
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 27% by 2028 in Japan.
The market forecast for Data Science and Machine Learning Platforms in Japan through 2028 projects steady growth driven by the country's robust technological infrastructure, strong emphasis on innovation, and adoption of AI across various sectors. Japan's leading role in AI research and development, coupled with government initiatives to promote AI-driven digital transformation, positions it as a key player in the global AI landscape. Key growth drivers include advancements in AI technologies such as deep learning and robotics, increasing investments in IoT and big data analytics, and the integration of AI into traditional industries like automotive, manufacturing, and healthcare. Cloud-based platforms are expected to dominate, offering scalability, security, and compliance with stringent data protection laws. Moreover, collaborations between industry players, academia, and government are likely to drive innovation and accelerate the deployment of AI solutions in Japan. Challenges such as demographic shifts and the need for upskilling the workforce in AI-related skills will influence market dynamics. Overall, Japan presents a promising market opportunity for Data Science and Machine Learning Platforms, characterized by technological innovation, regulatory stability, and a strategic focus on leveraging AI for sustainable 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
- Japan 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
- Japan Market Share by Deployment Type
- Market Share by Deployment Type: On prem
- Market Share by Deployment Type: Cloud
- Japan 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
- JAPAN Market Forecast
- JAPAN 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
- JAPAN Market Forecast by Deployment Type
- Market Forecast by Deployment Type: On prem
- Market Forecast by Deployment Type: Cloud
- JAPAN 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 Japan, 2023
- Fig. 2 Japan Market Share of Data Science & Machine Learning Platforms IT & Telecom Industry, 2023
- Fig. 3 Japan Market Share of Data Science & Machine Learning Platforms Banking & Financial Services Industry, 2023
- Fig. 4 Japan Market Share of Data Science & Machine Learning Platforms Insurance Industry, 2023
- Fig. 5 Japan Market Share of Data Science & Machine Learning Platforms Healthcare Industry, 2023
- Fig. 6 Japan Market Share of Data Science & Machine Learning Platforms Government & Public Sector, 2023
- Fig. 7 Japan Market Share of Data Science & Machine Learning Platforms Retail & eCommerce, 2023
- Fig. 8 Japan Market Share of Data Science & Machine Learning Platforms Manufacturing, 2023
- Fig. 9 Japan Market Share of Data Science & Machine Learning Platforms Hospitality, 2023
- Fig. 10 Japan Market Share of Data Science & Machine Learning Platforms On-premises Deployment, 2023
- Fig. 11 Japan Market Share of Data Science & Machine Learning Platforms Cloud Deployment, 2023
- Fig. 12 Japan Market Share of Data Science & Machine Learning Platforms SMB Customers, 2023
- Fig. 13 Japan Market Share of Data Science & Machine Learning Platforms Large Customers, 2023
- Fig. 14 Japan Market Share of Data Science & Machine Learning Platforms Enterprise Customers, 2023
Market Forecast:
- Fig. 1 Market Forecast of Data Science & Machine Learning Platforms JAPAN, 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
