The Asia Pacific Data Science Platform Market is expected to witness market growth of 29% CAGR during the forecast period (2020-2026).
The data science platform includes the software hub around which all sorts of data science work happens, including integrating and exploring data from different sources, coding, and building models. It additionally uses the data, installs models into production, and presents results through model-fueled applications or reports. It permits data researchers inside a solitary environment to find noteworthy insights from data, plan a strategy, and in communicating the collected data throughout an enterprise.
Data science has become very important for business today. As the quantity of instruments, models, and model makers is expanding, the requirement for a uniform data science platform that can give complete solutions is expanding. To comprehend which instrument to utilize when and manage the complex nature related to dealing with a huge amount of data and gain adaptability, the adoption of these platforms is expanding. These platforms are giving organizations an end-to-end process of managing, deploying, and making analytics models in a collaborative and open environment.
Moreover, the outbreak of the COVID-19 pandemic has also affected the market immensely. The rise of new data and data patterns has changed the market situation. Apart from changing data analytics models, it has given a wide opportunity to data researchers to utilize advanced instruments and procedures to assist organizations with making better choices in the uncertain and speedy environment which also has a lack of data. Additionally, data science platforms have helped a few organizations in harnessing insights from the data and accelerate the process of medical research.
Based on Component, the market is segmented into Platform (Without Services) and Services. Based on Deployment Type, the market is segmented into On-premises and Cloud. Based on Enterprise Size, the market is segmented into Large Enterprise and Small & Medium Enterprise. Based on Application, the market is segmented into Marketing & Sales, Logistics, Customer Support, Finance & Accounting and Others. Based on End User, the market is segmented into BFSI, Energy & Utilities, Healthcare, Retail & eCommerce, Government & Defense, IT & Telecommunication, Manufacturing and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers theanalysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google, Inc., SAP SE, Altair Engineering, Inc., Alteryx, Inc., Cloudera, Inc., The MathWorks, Inc., SAS Institute, Inc., and RapidMiner, Inc.
Scope of the Study
Market Segmentation:
By Component
By Deployment Type
By Enterprise Size
By Application
By End User
By Country
Companies Profiled
Unique Offerings from the Publisher
The data science platform includes the software hub around which all sorts of data science work happens, including integrating and exploring data from different sources, coding, and building models. It additionally uses the data, installs models into production, and presents results through model-fueled applications or reports. It permits data researchers inside a solitary environment to find noteworthy insights from data, plan a strategy, and in communicating the collected data throughout an enterprise.
Data science has become very important for business today. As the quantity of instruments, models, and model makers is expanding, the requirement for a uniform data science platform that can give complete solutions is expanding. To comprehend which instrument to utilize when and manage the complex nature related to dealing with a huge amount of data and gain adaptability, the adoption of these platforms is expanding. These platforms are giving organizations an end-to-end process of managing, deploying, and making analytics models in a collaborative and open environment.
Moreover, the outbreak of the COVID-19 pandemic has also affected the market immensely. The rise of new data and data patterns has changed the market situation. Apart from changing data analytics models, it has given a wide opportunity to data researchers to utilize advanced instruments and procedures to assist organizations with making better choices in the uncertain and speedy environment which also has a lack of data. Additionally, data science platforms have helped a few organizations in harnessing insights from the data and accelerate the process of medical research.
Based on Component, the market is segmented into Platform (Without Services) and Services. Based on Deployment Type, the market is segmented into On-premises and Cloud. Based on Enterprise Size, the market is segmented into Large Enterprise and Small & Medium Enterprise. Based on Application, the market is segmented into Marketing & Sales, Logistics, Customer Support, Finance & Accounting and Others. Based on End User, the market is segmented into BFSI, Energy & Utilities, Healthcare, Retail & eCommerce, Government & Defense, IT & Telecommunication, Manufacturing and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers theanalysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google, Inc., SAP SE, Altair Engineering, Inc., Alteryx, Inc., Cloudera, Inc., The MathWorks, Inc., SAS Institute, Inc., and RapidMiner, Inc.
Scope of the Study
Market Segmentation:
By Component
- Platform (Without Services)
- Services
By Deployment Type
- On-premises
- Cloud
By Enterprise Size
- Large Enterprise
- Small & Medium Enterprise
By Application
- Marketing & Sales
- Logistics
- Customer Support
- Finance & Accounting
- Others
By End User
- BFSI
- Energy & Utilities
- Healthcare
- Retail & eCommerce
- Government & Defense
- IT & Telecommunication
- Manufacturing
- Others
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Companies Profiled
- IBM Corporation
- Microsoft Corporation
- Google, Inc.
- SAP SE
- Altair Engineering, Inc.
- Alteryx, Inc.
- Cloudera, Inc.
- The MathWorks, Inc.
- SAS Institute, Inc.
- RapidMiner, Inc.
Unique Offerings from the Publisher
- Exhaustive coverage
- Highest number of market tables and figures
- Subscription based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Asia Pacific Data Science Platform Market by Enterprise Size
Chapter 5. Asia Pacific Data Science Platform Market by Industry Vertical
Chapter 6. Asia Pacific Data Science Platform Market by Component
Chapter 7. Asia Pacific Data Science Platform Market by Deployment Type
Chapter 8. Asia Pacific Data Science Platform Market by Application
Chapter 9. Asia Pacific Data Science Platform Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- IBM Corporation
- Microsoft Corporation
- Google, Inc.
- SAP SE
- Altair Engineering, Inc.
- Alteryx, Inc.
- Cloudera, Inc.
- The MathWorks, Inc.
- SAS Institute, Inc.
- RapidMiner, Inc.
Methodology
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