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Global 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 Regional Outlook and Forecast, 2023 - 2030

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    Report

  • 215 Pages
  • June 2023
  • Region: Global
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5852227
The Global Healthcare Data Monetization Market size is expected to reach $1.3 billion by 2030, rising at a market growth of 18% CAGR during the forecast period.

Asia Pacific is adopting digital technologies fastly due to the growing adoption of digital healthcare technologies, increased public & private funding, improved IT infrastructure, the need for affordable healthcare. Hence, APAC would account for more than 27% share of the market by 2030. Further, the favorable government regulations, increased awareness of precision medicine, and the high prevalence of cancer and chronic diseases are all expected to drive the adoption of healthcare technologies in emerging nations in the Asia Pacific, such as India and China. Some of the factors impacting the market are growing utilization of external sources of data, growing demand for real-world evidence, and regulatory restrictions.



Data gathered from sources like social media, wearables, consumer data brokers, and other sources not part of a healthcare institution falls under external data sources. Healthcare firms can better understand patient health and behavior by integrating external data sources into their analytics and insights. This can result in enhanced outcomes and new revenue streams. The market has a major growth opportunity due to the increased demand for real-world evidence (RWE). Data gathered from real-world patient populations in routine clinical practice, outside of the regulated setting of clinical trials, is referred to as real-world evidence. These aspects are supporting the market’s growth during the projection period. The pandemic's variability has drastically changed when and how patients decide to seek medical attention. Additionally, healthcare delivery and treatment changes during the pandemic have affected how some results in data and the treated population were discovered and reported. This suggests that when healthcare data monetization Data is not placed in the framework of the COVID-19 pandemic, and long-term COVID-19 therapy, disease, and lifestyle changes, disease trends may result in erroneous conclusions. As a result, the market has benefitted from the pandemic outbreak.

However, regulatory restrictions represent a serious obstacle to expanding the market. It can be difficult for organizations to gather, keep, and use data for commercial purposes due to the numerous rules & regulations governing data privacy, security, and use, which apply to healthcare data. The Health Insurance Portability and Accountability Act (HIPAA) is one of the main regulations affecting healthcare data monetization. Federal law, known as HIPAA, establishes rules for safeguarding the confidentiality and security of protected health information (PHI).

End-user Outlook

By end user, the market is segmented into pharmaceutical & biotechnology companies, healthcare providers, healthcare payers, medical technology companies, and other end users. The healthcare payers segment covered a considerable revenue share in the market in 2022. Payers use data to better anticipate risk and manage consumers' health by gaining behavioral insights that they could not otherwise gain from internal data. Payers struggle to change their business models as the healthcare industry shifts from volume-based to value-based care.



Deployment Outlook

Based on deployment, the market is categorized into on-premises, and cloud. In 2022, the on-premise segment held the highest revenue share in the market. Multivendor architecture, available in on-premise models, reduces the possibility of external attacks and data leaks. These delivery types are chosen by buyers primarily for their security advantages. Due to the rising risk of data breaches, the on-premise deployment is estimated to witness significant surge.

Type Outlook

On the basis of type, the market is classified into direct, and indirect. In 2022, the direct segment dominated the market with the maximum revenue share. The demand for effective data management, interoperability, cost savings, and better patient outcomes has led to the popularity of direct data monetization in the healthcare industry. It enables healthcare providers to standardize data formats, lower infrastructure costs, access data from many sources in real-time, and make well-informed choices regarding patient care by detecting trends and patterns in patient data.

Regional Outlook

Region wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2022, the North America region witnessed the largest revenue share in the market. The adoption of federal health mandates to encourage the use of HCIT solutions, a growing emphasis on population health management, a sizable amount of venture capital investments is estimated to positively impact the market. In addition, the increasing pressure to lower healthcare costs, technological advancements, and the region's high availability of products and services are all factors that contribute to North America's significant regional share in the world of healthcare analytics.

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.

Strategies Deployed in the Market

  • May-2023: SAS partnered with HTEC Group, a global consulting, software engineering, and digital product development company. Under this partnership, both companies would work together to provide continuous advancement for companies across industries that consists of logistics, healthcare, life sciences and more.
  • Apr-2023: Microsoft collaborated with Epic, an American kids' subscription-based reading and learning platform. Under this collaboration, both companies would team up to enhance the power of generative artificial intelligence to enhance the accuracy and efficiency of electronic health records.
  • Apr-2023: Salesforce introduced Customer 360 for Health capabilities which help healthcare providers offer highly customized patient experiences and decrease operational costs. The launch helps improve the overall care experience with the complete power of salesforce technology consisting of real-time data from Einstein AI, Data Cloud, and automation with the flow.
  • Feb-2023: Google Cloud came into partnership with Redox, a company involved in healthcare interoperability. This partnership aims to simplify the interchange of healthcare data so enterprises could make better and faster decisions.
  • Oct-2022: Oracle expanded its Oracle Fusion Cloud Enterprise Performance Management with the planning solution for the healthcare industry. The latest industry allows healthcare enterprises to optimize resources, rapidly model scenarios, find future demand, and improve workforce, financial, and patient care decisions.
  • Mar-2022: Snowflake today announced the launch of the Healthcare & Life Sciences Data Cloud. The launch of the latest solution aims to help providers offer better patient outcomes, optimize care delivery, improve clinical and operational decision-making, and boost clinical research and time-to-market.
  • Dec-2021: Oracle completed the acquisition of Cerner, a leader in helping digitize medical care. Following this acquisition, both companies would transform healthcare by offering medical professionals improved information - allowing them to make better treatment decisions resulting in better patient outcomes.
  • Jun-2021: Google announced a partnership with HCA Healthcare, a national hospital chain. This partnership would deliver the internet giant access to a host of patient records and real-time medical information.
  • Apr-2021: Oracle Corporation completed the acquisition of Kantar Health, a department of Kantar Group. Under this acquisition, Kantar Health’s rich life sciences expertise would be integrated with Cerner’s robust collection of real-world data and technology and is expected to boost innovation in life sciences research and enhance patient results across the world.
  • Nov-2020: Oracle partnered with Omega Healthcare, a premier vendor of RCM Solutions & Clinical Services for US Healthcare. Following the partnership, Omega aimed to gain a unified record of all the data (ERP, HCM, EPM, and CX) at the enterprise level, combining their current ecosystem of multiple applications. Through this partnership, Omega Healthcare would achieve a massive competitive edge from constant developments through quarterly updates. Moreover, the smooth data flow across business functions of human resources, finance, and sales would result in improved service delivery efficiency for Omega Healthcare with a superior customer experience.
  • Sep-2019: Microsoft collaborated with Novartis, a Swiss multinational pharmaceutical corporation. Through this collaboration, both companies would leverage data & Artificial Intelligence to transform how medicines are developed, discovered, and commercialized.

Scope of the Study

Market Segments Covered in the Report:


By Type

  • Direct
  • Indirect

By End-user

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

By Deployment

  • On-premise
  • Cloud

By Geography

  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

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 Global Healthcare Data Monetization Market, by Type
1.4.2 Global Healthcare Data Monetization Market, by End User
1.4.3 Global Healthcare Data Monetization Market, by Deployment
1.4.4 Global Healthcare Data Monetization Market, by Geography
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. Global Healthcare Data Monetization Market by Type
4.1 Global Direct Market by Region
4.2 Global Indirect Market by Region
Chapter 5. Global Healthcare Data Monetization Market by End User
5.1 Global Pharmaceutical & Biotechnology Companies Market by Region
5.2 Global Healthcare Payers Market by Region
5.3 Global Healthcare Providers Market by Region
5.4 Global Medical Technology Companies Market by Region
5.5 Global Others Market by Region
Chapter 6. Global Healthcare Data Monetization Market by Deployment
6.1 Global On-premise Market by Region
6.2 Global Cloud Market by Region
Chapter 7. Global Healthcare Data Monetization Market by Region
7.1 North America Healthcare Data Monetization Market
7.1.1 North America Healthcare Data Monetization Market by Type
7.1.1.1 North America Direct Market by Country
7.1.1.2 North America Indirect Market by Country
7.1.2 North America Healthcare Data Monetization Market by End User
7.1.2.1 North America Pharmaceutical & Biotechnology Companies Market by Country
7.1.2.2 North America Healthcare Payers Market by Country
7.1.2.3 North America Healthcare Providers Market by Country
7.1.2.4 North America Medical Technology Companies Market by Country
7.1.2.5 North America Others Market by Country
7.1.3 North America Healthcare Data Monetization Market by Deployment
7.1.3.1 North America On-premise Market by Country
7.1.3.2 North America Cloud Market by Country
7.1.4 North America Healthcare Data Monetization Market by Country
7.1.4.1 US Healthcare Data Monetization Market
7.1.4.1.1 US Healthcare Data Monetization Market by Type
7.1.4.1.2 US Healthcare Data Monetization Market by End User
7.1.4.1.3 US Healthcare Data Monetization Market by Deployment
7.1.4.2 Canada Healthcare Data Monetization Market
7.1.4.2.1 Canada Healthcare Data Monetization Market by Type
7.1.4.2.2 Canada Healthcare Data Monetization Market by End User
7.1.4.2.3 Canada Healthcare Data Monetization Market by Deployment
7.1.4.3 Mexico Healthcare Data Monetization Market
7.1.4.3.1 Mexico Healthcare Data Monetization Market by Type
7.1.4.3.2 Mexico Healthcare Data Monetization Market by End User
7.1.4.3.3 Mexico Healthcare Data Monetization Market by Deployment
7.1.4.4 Rest of North America Healthcare Data Monetization Market
7.1.4.4.1 Rest of North America Healthcare Data Monetization Market by Type
7.1.4.4.2 Rest of North America Healthcare Data Monetization Market by End User
7.1.4.4.3 Rest of North America Healthcare Data Monetization Market by Deployment
7.2 Europe Healthcare Data Monetization Market
7.2.1 Europe Healthcare Data Monetization Market by Type
7.2.1.1 Europe Direct Market by Country
7.2.1.2 Europe Indirect Market by Country
7.2.2 Europe Healthcare Data Monetization Market by End User
7.2.2.1 Europe Pharmaceutical & Biotechnology Companies Market by Country
7.2.2.2 Europe Healthcare Payers Market by Country
7.2.2.3 Europe Healthcare Providers Market by Country
7.2.2.4 Europe Medical Technology Companies Market by Country
7.2.2.5 Europe Others Market by Country
7.2.3 Europe Healthcare Data Monetization Market by Deployment
7.2.3.1 Europe On-premise Market by Country
7.2.3.2 Europe Cloud Market by Country
7.2.4 Europe Healthcare Data Monetization Market by Country
7.2.4.1 Germany Healthcare Data Monetization Market
7.2.4.1.1 Germany Healthcare Data Monetization Market by Type
7.2.4.1.2 Germany Healthcare Data Monetization Market by End User
7.2.4.1.3 Germany Healthcare Data Monetization Market by Deployment
7.2.4.2 UK Healthcare Data Monetization Market
7.2.4.2.1 UK Healthcare Data Monetization Market by Type
7.2.4.2.2 UK Healthcare Data Monetization Market by End User
7.2.4.2.3 UK Healthcare Data Monetization Market by Deployment
7.2.4.3 France Healthcare Data Monetization Market
7.2.4.3.1 France Healthcare Data Monetization Market by Type
7.2.4.3.2 France Healthcare Data Monetization Market by End User
7.2.4.3.3 France Healthcare Data Monetization Market by Deployment
7.2.4.4 Russia Healthcare Data Monetization Market
7.2.4.4.1 Russia Healthcare Data Monetization Market by Type
7.2.4.4.2 Russia Healthcare Data Monetization Market by End User
7.2.4.4.3 Russia Healthcare Data Monetization Market by Deployment
7.2.4.5 Spain Healthcare Data Monetization Market
7.2.4.5.1 Spain Healthcare Data Monetization Market by Type
7.2.4.5.2 Spain Healthcare Data Monetization Market by End User
7.2.4.5.3 Spain Healthcare Data Monetization Market by Deployment
7.2.4.6 Italy Healthcare Data Monetization Market
7.2.4.6.1 Italy Healthcare Data Monetization Market by Type
7.2.4.6.2 Italy Healthcare Data Monetization Market by End User
7.2.4.6.3 Italy Healthcare Data Monetization Market by Deployment
7.2.4.7 Rest of Europe Healthcare Data Monetization Market
7.2.4.7.1 Rest of Europe Healthcare Data Monetization Market by Type
7.2.4.7.2 Rest of Europe Healthcare Data Monetization Market by End User
7.2.4.7.3 Rest of Europe Healthcare Data Monetization Market by Deployment
7.3 Asia Pacific Healthcare Data Monetization Market
7.3.1 Asia Pacific Healthcare Data Monetization Market by Type
7.3.1.1 Asia Pacific Direct Market by Country
7.3.1.2 Asia Pacific Indirect Market by Country
7.3.2 Asia Pacific Healthcare Data Monetization Market by End User
7.3.2.1 Asia Pacific Pharmaceutical & Biotechnology Companies Market by Country
7.3.2.2 Asia Pacific Healthcare Payers Market by Country
7.3.2.3 Asia Pacific Healthcare Providers Market by Country
7.3.2.4 Asia Pacific Medical Technology Companies Market by Country
7.3.2.5 Asia Pacific Others Market by Country
7.3.3 Asia Pacific Healthcare Data Monetization Market by Deployment
7.3.3.1 Asia Pacific On-premise Market by Country
7.3.3.2 Asia Pacific Cloud Market by Country
7.3.4 Asia Pacific Healthcare Data Monetization Market by Country
7.3.4.1 China Healthcare Data Monetization Market
7.3.4.1.1 China Healthcare Data Monetization Market by Type
7.3.4.1.2 China Healthcare Data Monetization Market by End User
7.3.4.1.3 China Healthcare Data Monetization Market by Deployment
7.3.4.2 Japan Healthcare Data Monetization Market
7.3.4.2.1 Japan Healthcare Data Monetization Market by Type
7.3.4.2.2 Japan Healthcare Data Monetization Market by End User
7.3.4.2.3 Japan Healthcare Data Monetization Market by Deployment
7.3.4.3 India Healthcare Data Monetization Market
7.3.4.3.1 India Healthcare Data Monetization Market by Type
7.3.4.3.2 India Healthcare Data Monetization Market by End User
7.3.4.3.3 India Healthcare Data Monetization Market by Deployment
7.3.4.4 South Korea Healthcare Data Monetization Market
7.3.4.4.1 South Korea Healthcare Data Monetization Market by Type
7.3.4.4.2 South Korea Healthcare Data Monetization Market by End User
7.3.4.4.3 South Korea Healthcare Data Monetization Market by Deployment
7.3.4.5 Singapore Healthcare Data Monetization Market
7.3.4.5.1 Singapore Healthcare Data Monetization Market by Type
7.3.4.5.2 Singapore Healthcare Data Monetization Market by End User
7.3.4.5.3 Singapore Healthcare Data Monetization Market by Deployment
7.3.4.6 Malaysia Healthcare Data Monetization Market
7.3.4.6.1 Malaysia Healthcare Data Monetization Market by Type
7.3.4.6.2 Malaysia Healthcare Data Monetization Market by End User
7.3.4.6.3 Malaysia Healthcare Data Monetization Market by Deployment
7.3.4.7 Rest of Asia Pacific Healthcare Data Monetization Market
7.3.4.7.1 Rest of Asia Pacific Healthcare Data Monetization Market by Type
7.3.4.7.2 Rest of Asia Pacific Healthcare Data Monetization Market by End User
7.3.4.7.3 Rest of Asia Pacific Healthcare Data Monetization Market by Deployment
7.4 LAMEA Healthcare Data Monetization Market
7.4.1 LAMEA Healthcare Data Monetization Market by Type
7.4.1.1 LAMEA Direct Market by Country
7.4.1.2 LAMEA Indirect Market by Country
7.4.2 LAMEA Healthcare Data Monetization Market by End User
7.4.2.1 LAMEA Pharmaceutical & Biotechnology Companies Market by Country
7.4.2.2 LAMEA Healthcare Payers Market by Country
7.4.2.3 LAMEA Healthcare Providers Market by Country
7.4.2.4 LAMEA Medical Technology Companies Market by Country
7.4.2.5 LAMEA Others Market by Country
7.4.3 LAMEA Healthcare Data Monetization Market by Deployment
7.4.3.1 LAMEA On-premise Market by Country
7.4.3.2 LAMEA Cloud Market by Country
7.4.4 LAMEA Healthcare Data Monetization Market by Country
7.4.4.1 Brazil Healthcare Data Monetization Market
7.4.4.1.1 Brazil Healthcare Data Monetization Market by Type
7.4.4.1.2 Brazil Healthcare Data Monetization Market by End User
7.4.4.1.3 Brazil Healthcare Data Monetization Market by Deployment
7.4.4.2 Argentina Healthcare Data Monetization Market
7.4.4.2.1 Argentina Healthcare Data Monetization Market by Type
7.4.4.2.2 Argentina Healthcare Data Monetization Market by End User
7.4.4.2.3 Argentina Healthcare Data Monetization Market by Deployment
7.4.4.3 UAE Healthcare Data Monetization Market
7.4.4.3.1 UAE Healthcare Data Monetization Market by Type
7.4.4.3.2 UAE Healthcare Data Monetization Market by End User
7.4.4.3.3 UAE Healthcare Data Monetization Market by Deployment
7.4.4.4 Saudi Arabia Healthcare Data Monetization Market
7.4.4.4.1 Saudi Arabia Healthcare Data Monetization Market by Type
7.4.4.4.2 Saudi Arabia Healthcare Data Monetization Market by End User
7.4.4.4.3 Saudi Arabia Healthcare Data Monetization Market by Deployment
7.4.4.5 South Africa Healthcare Data Monetization Market
7.4.4.5.1 South Africa Healthcare Data Monetization Market by Type
7.4.4.5.2 South Africa Healthcare Data Monetization Market by End User
7.4.4.5.3 South Africa Healthcare Data Monetization Market by Deployment
7.4.4.6 Nigeria Healthcare Data Monetization Market
7.4.4.6.1 Nigeria Healthcare Data Monetization Market by Type
7.4.4.6.2 Nigeria Healthcare Data Monetization Market by End User
7.4.4.6.3 Nigeria Healthcare Data Monetization Market by Deployment
7.4.4.7 Rest of LAMEA Healthcare Data Monetization Market
7.4.4.7.1 Rest of LAMEA Healthcare Data Monetization Market by Type
7.4.4.7.2 Rest of LAMEA Healthcare Data Monetization Market by End User
7.4.4.7.3 Rest of LAMEA 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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