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Asia Pacific Healthcare Data Monetization Market Size, Share & Industry Trends Analysis Report By Type (Direct, and Indirect), By End User, By Deployment (On-premise, and Cloud), By Country and Growth Forecast, 2023 - 2030

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    Report

  • 97 Pages
  • June 2023
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5852069
The Asia Pacific Healthcare Data Monetization Market should witness market growth of 18.6% CAGR during the forecast period (2023-2030).

Patient empowerment is one of the most prevalent concepts in healthcare. Patients have the power to decide whether to share information about themselves or data with other people and organizations. According to studies, most people are comfortable to share this information with their doctor. Still, significantly fewer want it shared with other healthcare providers, insurance firms, or organizations that deal with technology or social media. For instance, companies like Google and Microsoft attempted to enter the health data industry with programs completely devoted to data management and patient integration. With its Apple Health Records app, Apple has made some strides.

The rise in social media, wearables, and app usage spurs this shift toward patient empowerment. People are already sharing a lot of data on these platforms, whether they are aware of it or not. It's a relatively new idea to monetize patient data. Patients can manage and sell their health information to healthcare organizations, pharmaceutical firms, and educational academics. Patients' distinctive information can be utilized to provide individualized therapies in personalized medicine and precision healthcare, where patient data monetization is most frequently discussed.

China has one of the world’s fastest-growing aging populations, according to the World Health Organization. Due to rising life expectancy and falling birth rates, 28% of China’s population is expected to be over 60 by 2040. In 2020, there were around 28.6% of persons in Japan who were 65 or older. Senior households (private homes with people 65 or older) numbered 22.66 million in 2020. India’s elderly population has more than quadrupled in size during the previous 50 years. There were 103.83 million older adults, or those over 60, as of 2011, the most recent year for which data is available from the Census. The growing pharmaceutical industry and rising ageing population in the region will demand for advanced healthcare infrastructure further opening growth prospects for market in APAC.

The China market dominated the Asia Pacific Healthcare Data Monetization Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $99.9 Million by 2030. The Japan market is experiencing a CAGR of 17.9% during (2023-2030). Additionally, The India market would register a CAGR of 19.4% during (2023-2030).

Based on Type, the market is segmented into Direct, and Indirect. Based on End-user, the market is segmented into Pharmaceutical & Biotechnology Companies, Healthcare Payers, Healthcare Providers, Medical Technology Companies, and Others. Based on Deployment, the market is segmented into On-premise, and Cloud. 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 Oracle Corporation, Microsoft Corporation, Google LLC (Alphabet Inc.), Salesforce, Inc., SAP SE, Snowflake, Inc., SAS Institute, Inc., TIBCO (The Information Bus Company) Software. Inc., Sisense, Inc. and QlikTech International AB.

Scope of the Study

By Type

  • Direct
  • Indirect

By End-user

  • Pharmaceutical & Biotechnology Companies
  • Healthcare Payers
  • Healthcare Providers
  • Medical Technology Companies
  • Others

By Deployment

  • On-premise
  • Cloud

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:


  • Oracle Corporation
  • Microsoft Corporation
  • Google LLC (Alphabet Inc.)
  • Salesforce, Inc.
  • SAP SE
  • Snowflake, Inc.
  • SAS Institute, Inc.
  • TIBCO (The Information Bus Company) Software. Inc.
  • Sisense, Inc.
  • QlikTech International AB

Unique Offerings

  • 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

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Healthcare Data Monetization Market, by Type
1.4.2 Asia Pacific Healthcare Data Monetization Market, by End User
1.4.3 Asia Pacific Healthcare Data Monetization Market, by Deployment
1.4.4 Asia Pacific Healthcare Data Monetization Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Strategies Deployed in Healthcare Data Monetization Market
Chapter 4. Asia Pacific Healthcare Data Monetization Market by Type
4.1 Asia Pacific Direct Market by Country
4.2 Asia Pacific Indirect Market by Country
Chapter 5. Asia Pacific Healthcare Data Monetization Market by End User
5.1 Asia Pacific Pharmaceutical & Biotechnology Companies Market by Country
5.2 Asia Pacific Healthcare Payers Market by Country
5.3 Asia Pacific Healthcare Providers Market by Country
5.4 Asia Pacific Medical Technology Companies Market by Country
5.5 Asia Pacific Others Market by Country
Chapter 6. Asia Pacific Healthcare Data Monetization Market by Deployment
6.1 Asia Pacific On-premise Market by Country
6.2 Asia Pacific Cloud Market by Country
Chapter 7. Asia Pacific Healthcare Data Monetization Market by Country
7.1 China Healthcare Data Monetization Market
7.1.1 China Healthcare Data Monetization Market by Type
7.1.2 China Healthcare Data Monetization Market by End User
7.1.3 China Healthcare Data Monetization Market by Deployment
7.2 Japan Healthcare Data Monetization Market
7.2.1 Japan Healthcare Data Monetization Market by Type
7.2.2 Japan Healthcare Data Monetization Market by End User
7.2.3 Japan Healthcare Data Monetization Market by Deployment
7.3 India Healthcare Data Monetization Market
7.3.1 India Healthcare Data Monetization Market by Type
7.3.2 India Healthcare Data Monetization Market by End User
7.3.3 India Healthcare Data Monetization Market by Deployment
7.4 South Korea Healthcare Data Monetization Market
7.4.1 South Korea Healthcare Data Monetization Market by Type
7.4.2 South Korea Healthcare Data Monetization Market by End User
7.4.3 South Korea Healthcare Data Monetization Market by Deployment
7.5 Singapore Healthcare Data Monetization Market
7.5.1 Singapore Healthcare Data Monetization Market by Type
7.5.2 Singapore Healthcare Data Monetization Market by End User
7.5.3 Singapore Healthcare Data Monetization Market by Deployment
7.6 Malaysia Healthcare Data Monetization Market
7.6.1 Malaysia Healthcare Data Monetization Market by Type
7.6.2 Malaysia Healthcare Data Monetization Market by End User
7.6.3 Malaysia Healthcare Data Monetization Market by Deployment
7.7 Rest of Asia Pacific Healthcare Data Monetization Market
7.7.1 Rest of Asia Pacific Healthcare Data Monetization Market by Type
7.7.2 Rest of Asia Pacific Healthcare Data Monetization Market by End User
7.7.3 Rest of Asia Pacific Healthcare Data Monetization Market by Deployment
Chapter 8. Company Profiles
8.1 Oracle Corporation
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expense
8.1.5 Recent strategies and developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.5.2 Product Launches and Product Expansions:
8.1.5.3 Acquisition and Mergers:
8.1.6 SWOT Analysis
8.2 Microsoft Corporation
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental and Regional Analysis
8.2.4 Research & Development Expenses
8.2.5 Recent strategies and developments:
8.2.5.1 Partnerships, Collaborations, and Agreements:
8.2.6 SWOT Analysis
8.3 Google LLC (Alphabet Inc.)
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expense
8.3.5 Recent strategies and developments:
8.3.6 SWOT Analysis
8.4 Salesforce, Inc.
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Regional Analysis
8.4.4 Research & Development Expense
8.4.5 Recent strategies and developments:
8.4.5.1 Product Launches and Product Expansions:
8.4.6 SWOT Analysis
8.5 SAP SE
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expense
8.5.5 SWOT Analysis
8.6 Snowflake, Inc.
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Regional Analysis
8.6.4 Research & Development Expenses
8.6.5 Recent strategies and developments:
8.6.5.1 Product Launches and Product Expansions:
8.7 SAS Institute, Inc.
8.7.1 Company Overview
8.7.2 Recent strategies and developments:
8.7.2.1 Partnerships, Collaborations, and Agreements:
8.8 Tibco Software, Inc. (Vista Equity Partners)
8.8.1 Company Overview
8.9 Sisense, Inc.
8.9.1 Company Overview
8.10. QlikTech International AB
8.10.1 Company Overview

Companies Mentioned

  • Oracle Corporation
  • Microsoft Corporation
  • Google LLC (Alphabet Inc.)
  • Salesforce, Inc.
  • SAP SE
  • Snowflake, Inc.
  • SAS Institute, Inc.
  • TIBCO (The Information Bus Company) Software. Inc.
  • Sisense, Inc.
  • QlikTech International AB

Methodology

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