Asia Pacific Data Science Platform Market By Component (Platform (Without Services) and Services), By Deployment Type (On-premises and Cloud), By Enterprise Size (Large Enterprise and Small & Medium Enterprise), By Application (Marketing & Sales, Logistics, Customer Support, Finance & Accounting and Others), By End User (BFSI, Energy & Utilities, Healthcare, Retail & eCommerce, Government & Defense, IT & Telecommunication, Manufacturing and Others), By Country, Industry Analysis and Forecast, 2020 - 2026
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Get in-depth analysis of the COVID-19 impact on the Asia Pacific Data Science Platform Market
The Asia Pacific Data Science Platform Market would 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 Asia Pacific Data Science Platform Market Analysis
- Platform (Without Services)
By Deployment Type
By Enterprise Size
- Large Enterprise
- Small & Medium Enterprise
- Marketing & Sales
- Customer Support
- Finance & Accounting
- Energy & Utilities
- Retail & eCommerce
- Government & Defense
- IT & Telecommunication
- South Korea
- Rest of Asia Pacific
- IBM Corporation
- Microsoft Corporation
- Google, Inc.
- SAP SE
- Altair Engineering, Inc.
- Alteryx, Inc.
- Cloudera, Inc.
- The MathWorks, Inc.
- SAS Institute, Inc.
- RapidMiner, Inc.
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