The Asia Pacific Healthcare Customer Data Platform Market is expected to witness market growth of 26.3% CAGR during the forecast period (2021-2027).
The hospital or healthcare institutions acquire more information about the patients and their past medical history, which is expected to motivate organizations to develop unique and unified data collection of their customers. In addition, companies can also customize healthcare journeys in real-time by collecting and evaluating customer data. By using a healthcare customer data platform, companies can locate the kind of information they require for different objectives.
There are many customer data platforms that enhance compliance with information privacy regulations like the California Consumer Privacy Act (CCPA) and the General Data Protection Regulation (EU) (GDPR).
The increasing government initiatives across the region to strengthen the regional medical sector are estimated to fuel the growth of the regional healthcare customer data platform market over the forecast period. In addition, several healthcare companies are highly adopting healthcare customer data platforms to improve their workflow, eliminate unnecessary costs and obtain high-quality results. Healthcare providers are highly investing in extracting and accumulating information about patients through various touch points to improve patients’ care that is expected to further escalate the demand and growth of the regional healthcare customer data platform market during the forecast period.
The China market dominated the Asia Pacific Healthcare Customer Data Platform Market by Country 2020, and is expected to continue to be a dominant market till 2027; thereby, achieving a market value of $76.81 million by 2027. The Japan market is anticipated to grow at a CAGR of 25.6% during (2021 - 2027). Additionally, The India market is expected to witness a CAGR of 27.1% during (2021 - 2027).
Based on Component, the market is segmented into Software and Services. Based on Organization size, the market is segmented into large enterprises and small & medium-sized enterprises. Based on Deployment, the market is segmented into on-premises and cloud-based. Based on Application, the market is segmented into predictive analytics, marketing data segmentation, personalized recommendations, security management, customer retention & engagement, 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 the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Salesforce.com, Inc., Adobe, Inc., Reltio, SkyPoint Cloud, Inc., Treasure Data, Inc. (Softbank Vision Fund), Innovaccer, Inc., Tealium, Inc., Mercury Healthcare, Inc., and Solix Technologies, Inc.
Scope of the Study
Market Segments Covered in the Report:
By Component
- Software
- Services
By Organization size
- Large Enterprises
- Small & Medium-sized Enterprises
By Deployment
- On-Premises
- Cloud-based
By Application
- Predictive Analytics
- Marketing Data Segmentation
- Personalized Recommendations
- Security Management
- Customer Retention & Engagement
- Others
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Microsoft Corporation
- Salesforce.com, Inc.
- Adobe, Inc.
- Reltio
- SkyPoint Cloud, Inc.
- Treasure Data, Inc. (Softbank Vision Fund)
- Innovaccer, Inc.
- Tealium, Inc.
- Mercury Healthcare, Inc.
- Solix Technologies, Inc.
Unique Offerings from the Publisher
- Exhaustive coverage
- The 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
Companies Mentioned
- Microsoft Corporation
- Salesforce.com, Inc.
- Adobe, Inc.
- Reltio
- SkyPoint Cloud, Inc.
- Treasure Data, Inc. (Softbank Vision Fund)
- Innovaccer, Inc.
- Tealium, Inc.
- Mercury Healthcare, Inc.
- Solix Technologies, Inc.
Methodology
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