Big Data in Healthcare - A Global Market and Regional Analysis: Focus on Components and Services, Applications, End Users, Competitive Landscape, COVID-19 Impact, and Future Outlook - Analysis and Forecast, 2022-2031
Market Report Coverage - Big Data in Healthcare
Market Segmentation
- By Components and Services - Hardware, Software, and Analytics Services
- By Use Case - Clinical Data Analytics, Financial Analytics, and Operational Analytics
- By End Users - Professional Healthcare Settings, Healthcare Companies and Consultancies, Government Agencies/Bodies, Finance and Insurance Agencies, and Academic and Research Institutes
- By Mode of Deployment - On-Premise and Cloud-and Web-Based
- North America - U.S. and Canada
- Europe - Germany, U.K., France, Italy, Spain, and Rest-of-Europe
- Asia-Pacific - Japan, China, India, Australia, and New Zealand, and Rest-of-Asia-Pacific
- Rest-of-the-World - Latin America, Middle East, and Africa
- Rise in the Adoption of Wearables, Mobile Health, and Internet of Medical Things (IoMT)
- Urgent Need to Reduce Healthcare Costs
- Dedicated Initiatives for Healthcare Digitalization
- Growing Importance of Digital Healthcare and Interoperability
- Concerns Regarding Data Security
- Presence of Large Volumes of Unstructured Data
- Blockchain for Health Information Exchange
- Achieving Complete Interoperability of Healthcare Data for Clinical Decision Support
Active Health Management, Allscripts Healthcare Solutions, Inc., Cerner Corporation, Epic Systems Corporation, eClinicalWorks, General Electric Company, Siemens Healthineers AG, JLL Partners, Abacus Insights, ConcertAI, Clarify Health Solutions, Datavant, Lynxcare Inc., MilagroAI, Verana Health
How This Report Can Add Value
Who should buy this report and why?
Assuming that the reader is a vendor in big data in healthcare market, the report will assist them in the following ways:
- Understand their position compared to other key players in the market
- Stay updated with the latest developments in the market
- Understand the impact of COVID-19 on big data in healthcare and the entry barriers for new companies
- Gain insights into end-user perception concerning the big data in healthcare market
- Identify key players in the market and understand their valuable contribution
- Understand the key growth areas and regions to target for market expansion
- How has COVID-19 impacted the growth of the global big data in healthcare market?
- What are the key regulations governing the big data in healthcare market in key regions?
- Which technological developments are projected to have the maximum influence on the global big data in healthcare market?
- Who are the leading players holding significant dominance in the global big data in healthcare market?
- What are some of the growth opportunities which market players can capitalize on?
- What are the drivers and restraints for the global big data in healthcare market?
- Which region has the highest growth rate in the big data in healthcare market?
- Which are the fastest growing countries in terms of the global big data in healthcare market?
- What are the key strategies being adopted by market players in the global big data in healthcare market?
- Which are the emerging companies in the global big data in healthcare market?
Big data is one of the subjects of interest since it has the potential to transform modern healthcare. The technology has grown substantially over the last two decades. Many healthcare companies have begun to leverage big data for a variety of applications, such as developing products, improving patient outcomes, and driving innovation, among others.
The use of big data in healthcare for areas such as cardiovascular health can lead to savings worth billions of U.S. dollars every year. The data generated on a regular basis contain mostly unstructured formats, i.e., they are not arranged or curated according to a pre-existing data model and, therefore, pose challenges during analysis. The industry perception is that nearly 80% of the big data in healthcare is unstructured, rendering only about 20% eligible for analysis.
The adoption of big data in healthcare is still at a nascent stage despite being a large market. The growth of the market is expected to be significantly boosted by the growing demand for evidence-based clinical care in developing countries. Technological advancements anticipated from 2022 to 2031 are expected to play a crucial role in deciding the future of the big data in healthcare market and the level of adoption.
The global big data in healthcare market report highlights that the market was valued at $32,925.1 million in 2021 and is expected to reach $130,132.1 million by the end of 2031. The market is expected to grow at a CAGR of 13.96% during the forecast period 2022-2031.
Global Big Data in Healthcare Market Drivers
The factors driving the growth of the market include the rise in the adoption of wearables, mobile health, and IoMT, the urgent need to reduce healthcare costs, dedicated initiatives of healthcare digitalization, and the growing importance of digital healthcare and interoperability. The rising adoption of wearables and connected devices has become a prominent driving factor for the big data in healthcare market globally. The increasing adoption has added to the pool of data sources. Additionally, several governments, including those in emerging countries such as India and China, are focusing on bringing digitalization to healthcare for the masses.
More importantly, as the prevalence and incidence of chronic diseases continue to rise, so will technological adoption. As a result, the growth of disease diagnosis and the global market for big data in healthcare will accelerate.
Governments invest a significant amount of money in healthcare insurance so that the overall healthcare costs can be reduced, and the quality of life and affordability of the treatment can be enhanced.
Global Big Data in Healthcare Market Restraints
The factors restraining the growth of the global big data in healthcare market include concerns regarding data security and the presence of large volumes of unstructured data. There are significant privacy concerns surrounding the use of big data analytics in healthcare due to the sensitivity and critical nature of a large amount of personal information (PI) and protected health information (PHI) that healthcare providers are required to maintain. Hence, the concerns regarding data security and presence of large volumes of unstructured data are restraining the digital big data in healthcare market.
Global Big Data in Healthcare Market Opportunities
High growth opportunities in emerging economies and the emergence of local companies in Asia-Pacific, the Middle East, and Africa hold immense potential for the big data in healthcare market growth.
Furthermore, organizations are increasingly turning to clinical informatics in order to reduce medical errors. Since there are multiple electronic health record (EHR) vendors in the market and each product is built on a different platform, the process to make these systems interoperable is quite complex and expensive. Companies can focus on making the healthcare data interoperable to streamline insights extraction and care delivery.
Impact of COVID-19 on the Global Big Data in Healthcare Market
The global big data in healthcare market has been a growing market before the COVID-19 pandemic began. The big data volume increased due to the demand for easy inter-organizational data sharing. Furthermore, the fast growth in hospital information systems led to an influx of a host of variations in terminology, use of non-standard terms, and incorrect descriptions, making it difficult to reconcile data across different systems data. The pandemic, however, aided in accelerating the demand for data-driven decision-making. It also led to an increase in the pool of data sources as the demand for connected devices and wearables also increased due to the growth in the number of health-conscious individuals.
Market Segmentation
Global Big Data in Healthcare Market (Components and Services)
The global big data in healthcare market, based on components and services, has been segmented into hardware, software, and analytics services. Hardware in big data refers to components whose aim is to provide security and storage to protected health information (PIH) of the patients through compliance with data protection regulations. The healthcare industry is evolving, and therefore, more treatments will depend on networks, more devices will be connected, more information will be transferred, collected, and analyzed.
Healthcare organizations expect that big data analytics will help them minimize costs and improve the quality of care. Big data analytics in healthcare helps to detect diseases at earlier stages and healthcare frauds rapidly.
Global Big Data in Healthcare Market (by Use Case)
The global big data in healthcare market, based on use case, has been segmented into clinical data analytics, financial analytics and operational analytics. Clinical data analytics extracts data from EHRs and health information exchange to analyze patient populations and proactively provide quality care to them. The importance of clinical data analytics is increasing as healthcare systems are capturing bigger and better data sets. Clinical analytics primarily uses retrospective analysis rather than real-time clinical decision support.
Global Big Data in Healthcare Market (by End User)
The global big data in healthcare market, based on end user, has been segmented into professional healthcare settings, healthcare companies and consultancies, government agencies/bodies, finance and insurance agencies, and academic and research institutes.
The increase in focus on evidence-based care has been one of the strongest drivers of the adoption of big data in healthcare. Big data analytics allows hospitals and healthcare providers to identify the risk before any major complication occurs and reduces the cost of care. Some of the factors that hinder the adoption of these digital solutions are patient privacy, as there have been some complications in sharing patient information with healthcare professionals.
Furthermore, many industries such as finance and insurance agencies are making a shift toward the use of big data for analyzing the data. Finance and insurance agencies are also shifting toward digital platforms. The adoption of big data in healthcare insurance companies has been subject to digitizing the information and understanding the complex behavioral patterns of the customer.
Global Big Data in Healthcare Market (by Mode of Deployment)
The global big data in healthcare market, based on the mode of deployment, has been segmented into on-premises and cloud-and web-based. On-premises mode of deployment refers to the model built natively into the electronic health records (EHRs) of hospitals and other professional healthcare facilities. On-premises models are currently more preferred over their cloud-based counterparts.
In addition, the cloud-and web-based systems are more flexible and secure and allow users to have control over the data center. The data encryption techniques isolate and protect sensitive data to prevent leaks during data transmission.
Global Big Data in Healthcare Market (by Region)
The different regions covered under the global big data in healthcare market include North America, Europe, Asia-Pacific, and Rest-of-the-World.
The U.S is the dominant market in North America, considering its well-developed healthcare infrastructure and healthcare reforms such as the Affordable Care Act (ACA) and HITECH Act. The Asia-Pacific big data in healthcare market is one of the lucrative markets with immense potential for expansion by key players in the global big data in healthcare market. The healthcare sector is getting more attention than in the past. Countries such as India and China have several digital health initiatives which have witnessed accelerated implementation during the COVID-19 pandemic.
Key Market Players and Competition Synopsis
Some key players operating in the market include Active Health Management, Allscripts Healthcare Solutions, Inc., Cerner Corporation, Epic Systems Corporation, eClinical Works, General Electric Company, Siemens Healthineers AG, JLL Partners, Verana Health, ConcertAI, LynxCare, Abacus Insights, Milagro AI, Datavant, and Clarify Health Solutions.
Some strategies covered in this segment are funding activities, mergers and acquisitions (M&As), partnerships, alliances, business expansion, and new offerings.
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Companies Mentioned
Active Health Management
Allscripts Healthcare Solutions, Inc.
Cerner Corporation
Epic Systems Corporation
eClinicalWorks
General Electric Company
Siemens Healthineers AG
JLL Partners
Abacus Insights
ConcertAI
Clarify Health Solutions
Datavant
Lynxcare Inc.
MilagroAI
Verana Health
- 1 Markets
- 1.1 Market Outlook
- 1.1.1 Product Definition
- 1.1.2 Inclusion and Exclusion Criteria
- 1.1.3 Key Findings
- 1.1.4 Market Growth Scenarios
- 1.1.4.1 Realistic Scenario
- 1.1.4.2 Optimistic Scenario
- 1.1.4.3 Pessimistic Scenario
- 1.2 Industry Outlook
- 1.2.1 Technology Landscape
- 1.2.2 Opportunity Assessment
- 1.2.3 Product Benchmarking
- 1.2.4 Patent Analysis
- 1.2.4.1 By Country/Cluster
- 1.2.4.2 By Year
- 1.2.5 End User Perspectives
- 1.2.6 Ecosystem Analysis
- 1.2.7 Key Business Models
- 1.2.8 Cost-Benefit Analysis
- 1.2.9 Key Success Factors
- 1.2.10 Case Studies
- 1.2.10.1 Verana Health
- 1.2.10.1.1 Success Story
- 1.2.10.1.2 Use Cases
- 1.2.10.2 ConcertAI
- 1.2.10.2.1 Success Story
- 1.2.10.2.2 Use Cases
- 1.2.10.3 Lynxcare Inc.
- 1.2.10.3.1 Success Story
- 1.2.10.3.2 Use Cases
- 1.3 Impact of COVID-19 on the Global Big Data in Healthcare Market
- 1.3.1 Impact on the Healthcare Industry
- 1.3.2 Impact on Adoption
- 1.3.3 Impact on Market Size
- 1.4 Business Dynamics
- 1.4.1 Impact Analysis
- 1.4.2 Business Drivers
- 1.4.2.1 Rise in the Adoption of Wearables, Mobile Health, and Internet of Medical Things (IoMT)
- 1.4.2.2 Urgent Need to Reduce Healthcare Costs
- 1.4.2.3 Dedicated Initiatives for Healthcare Digitalization
- 1.4.2.4 Growing Importance of Digital Healthcare and Interoperability
- 1.4.3 Business Restraints
- 1.4.3.1 Concerns Regarding Data Security
- 1.4.3.2 Presence of Large Volumes of Unstructured Data
- 1.4.4 Business Opportunities
- 1.4.4.1 Blockchain for Health Information Exchange
- 1.4.4.2 Achieving Complete Interoperability of Healthcare Data for Clinical Decision Support
- 2 Application
- 2.1 Global Big Data in Healthcare Market (by Use Case)
- 2.1.1 Opportunity Assessment
- 2.1.2 Clinical Data Analytics
- 2.1.2.1 Analyst Input
- 2.1.3 Financial Analytics
- 2.1.3.1 Analyst Input
- 2.1.4 Operational Analytics
- 2.1.4.1 Analyst Input
- 2.2 Global Big Data in Healthcare Market (by Mode of Deployment)
- 2.2.1 Opportunity Assessment
- 2.2.2 On-Premises
- 2.2.3 Cloud- and Web-Based
- 2.3 Global Big Data in Healthcare Market (by End User)
- 2.3.1 Opportunity Assessment
- 2.3.2 Professional Healthcare Settings
- 2.3.3 Healthcare Companies and Consultancies
- 2.3.4 Government Agencies/Bodies
- 2.3.5 Finance and Insurance Agencies
- 2.3.6 Academic and Research Institutes
- 3 Products
- 3.1 Global Big Data in Healthcare Market (by Components and Services)
- 3.1.1 Opportunity Assessment
- 3.1.2 Hardware
- 3.1.2.1 Qualitative Assessment
- 3.1.2.1.1 Data Storage
- 3.1.2.1.2 Servers
- 3.1.2.1.3 Networking
- 3.1.3 Software
- 3.1.3.1 Qualitative Assessment
- 3.1.3.1.1 Electronic Health Record
- 3.1.3.1.2 Practice Management Software
- 3.1.3.1.3 Revenue Cycle Management Software
- 3.1.3.1.4 Workforce Management Software
- 3.1.4 Analytics Services
- 3.1.4.1 Descriptive Analytics
- 3.1.4.2 Predictive Analytics
- 3.1.4.3 Prescriptive Analytics
- 4 Regions
- 4.1 North America
- 4.1.1 Market
- 4.1.1.1 Regulatory Framework
- 4.1.1.2 Opportunity Assessment
- 4.1.1.3 Market Dynamics and Impact Analysis
- 4.1.1.4 Sizing and Forecast
- 4.1.2 Application
- 4.1.2.1 North America Big Data in Healthcare Market (by Use Case)
- 4.1.2.2 North America Big Data in Healthcare Market (by End User)
- 4.1.3 Product
- 4.1.3.1 North America Big Data in Healthcare Market (by Components and Services)
- 4.1.4 North America Big Data in Healthcare Market (by Country)
- 4.1.4.1 U.S.
- 4.1.4.1.1 U.S. Big Data in Healthcare Market (End User)
- 4.1.4.2 Canada
- 4.1.4.2.1 Canada Big Data in Healthcare Market (End User)
- 4.2 Europe
- 4.2.1 Market
- 4.2.1.1 Regulatory Framework
- 4.2.1.2 Opportunity Assessment
- 4.2.1.3 Market Dynamics and Impact Analysis
- 4.2.1.4 Sizing and Forecast
- 4.2.2 Application
- 4.2.2.1 Europe Big Data in Healthcare Market (by Use Case)
- 4.2.2.2 Europe Big Data in Healthcare Market (by End User)
- 4.2.3 Product
- 4.2.3.1 Europe Big Data in Healthcare Market (by Components and Services)
- 4.2.4 Europe Big Data in Healthcare Market (by Country)
- 4.2.4.1 Germany
- 4.2.4.1.1 Germany Big Data in Healthcare Market (End User)
- 4.2.4.2 U.K.
- 4.2.4.2.1 U.K. Big Data in Healthcare Market (End User)
- 4.2.4.3 France
- 4.2.4.3.1 France Big Data in Healthcare Market (by End User)
- 4.2.4.4 Italy
- 4.2.4.4.1 Italy Big Data in Healthcare Market (by End User)
- 4.2.4.5 Spain
- 4.2.4.5.1 Spain Big Data in Healthcare Market (End User)
- 4.2.4.6 Rest-of-Europe
- 4.2.4.6.1 Rest-of-Europe Big Data in Healthcare Market (by End User)
- 4.3 Asia-Pacific
- 4.3.1 Market
- 4.3.1.1 Regulatory Framework
- 4.3.1.2 Opportunity Assessment
- 4.3.1.3 Market Dynamics and Impact Analysis
- 4.3.1.4 Sizing and Forecast
- 4.3.2 Application
- 4.3.2.1 Asia-Pacific Big Data in Healthcare Market (by Use Case)
- 4.3.2.2 Asia-Pacific Big Data in Healthcare Market (by End User)
- 4.3.3 Product
- 4.3.3.1 Asia-Pacific Big Data in Healthcare Market (by Components and Services)
- 4.3.4 Asia-Pacific Big Data in Healthcare Market (by Country)
- 4.3.4.1 China
- 4.3.4.1.1 China Big Data in Healthcare Market (End User)
- 4.3.4.2 Japan
- 4.3.4.2.1 Japan Big Data in Healthcare Market (by End User)
- 4.3.4.3 India
- 4.3.4.3.1 India Big Data in Healthcare Market (by End User)
- 4.3.4.4 Australia and New Zealand
- 4.3.4.4.1 Australia and New Zealand Big Data in Healthcare Market (End User)
- 4.3.4.5 Rest-of-the-Asia-Pacific
- 4.3.4.5.1 Rest-of-the-Asia-Pacific Big Data in Healthcare Market (by End User)
- 4.4 Rest-of-the-World
- 4.4.1 Market
- 4.4.1.1 Regulatory Framework
- 4.4.1.2 Opportunity Assessment
- 4.4.1.3 Market Dynamics and Impact Analysis
- 4.4.1.4 Sizing and Forecast
- 4.4.2 Application
- 4.4.2.1 Rest-of-the-World Big Data in Healthcare Market (by Use Case)
- 4.4.2.2 Rest-of-the-World Big Data in Healthcare Market (by End User)
- 4.4.3 Product
- 4.4.3.1 Rest-of-the-World Big Data in Healthcare Market (by Components and Services)
- 4.4.4 Rest-of-the-World Big Data in Healthcare Market (by Country)
- 4.4.4.1 Latin America
- 4.4.4.2 Middle East and Africa
- 5 Markets - Competitive Benchmarking & Company Profiles
- 5.1 Competitive Benchmarking
- 5.1.1 Competitive Landscape
- 5.1.1.1 Key Strategies and Developments
- 5.1.1.1.1 Partnerships, Alliances, and Business Expansion
- 5.1.1.1.2 Funding Activities
- 5.1.1.1.3 New Offerings
- 5.1.1.1.4 Mergers and Acquisitions
- 5.2 Market Share Analysis
- 5.3 Company Profiles
- 5.3.1 Established Players
- 5.3.1.1 Active Health Management
- 5.3.1.1.1 Company Overview
- 5.3.1.1.2 Role of Active Health Management in the Global Big Data in Healthcare Market
- 5.3.1.1.3 SWOT Analysis
- 5.3.1.2 Allscripts Healthcare Solutions, Inc.
- 5.3.1.2.1 Company Overview
- 5.3.1.2.2 Role of Allscripts Healthcare Solutions, Inc. in the Global Big Data in Healthcare Market
- 5.3.1.2.3 Financials
- 5.3.1.2.4 Recent Developments
- 5.3.1.2.5 SWOT Analysis
- 5.3.1.3 Cerner Corporation
- 5.3.1.3.1 Company Overview
- 5.3.1.3.2 Role of Cerner Corporation in the Global Big Data in Healthcare Market
- 5.3.1.3.3 Financials
- 5.3.1.3.4 Recent Developments
- 5.3.1.3.5 SWOT Analysis
- 5.3.1.4 Epic Systems Corporation
- 5.3.1.4.1 Company Overview
- 5.3.1.4.2 Role of Epic Systems Corporation in the Global Big Data in Healthcare Market
- 5.3.1.4.3 Recent Developments
- 5.3.1.4.4 SWOT Analysis
- 5.3.1.5 eClinicalWorks
- 5.3.1.5.1 Company Overview
- 5.3.1.5.2 Role of eClinicalWorks in the Global Big Data in Healthcare Market
- 5.3.1.5.3 Recent Developments
- 5.3.1.5.4 SWOT Analysis
- 5.3.1.6 General Electric Company
- 5.3.1.6.1 Company Overview
- 5.3.1.6.2 Role of General Electric Company in Global Big Data in Healthcare Market
- 5.3.1.6.3 Product Portfolio
- 5.3.1.6.4 Financials
- 5.3.1.6.5 SWOT Analysis
- 5.3.1.7 Siemens Healthineers AG
- 5.3.1.7.1 Company Overview
- 5.3.1.7.2 Role of Siemens Healthineers AG Company in Global Big Data in Healthcare Market
- 5.3.1.7.3 Financials
- 5.3.1.7.4 SWOT Analysis
- 5.3.1.8 JLL Partners
- 5.3.1.8.1 Company Overview
- 5.3.1.8.2 Role of JLL Partners in the Global Big Data in Healthcare Market
- 5.3.1.8.3 Recent Developments
- 5.3.1.8.4 SWOT Analysis
- 5.3.2 Startups
- 5.3.2.1 Abacus Insights
- 5.3.2.1.1 Company Overview
- 5.3.2.1.2 Role of Abacus Insights in the Global Big Data in Healthcare Market
- 5.3.2.1.3 Funding Scenario
- 5.3.2.1.4 Recent Developments
- 5.3.2.1.5 SWOT Analysis
- 5.3.2.2 ConcertAI
- 5.3.2.2.1 Company Overview
- 5.3.2.2.2 Role of ConcertAI in the Global Big Data in Healthcare Market
- 5.3.2.2.3 Recent Developments
- 5.3.2.2.4 SWOT Analysis
- 5.3.2.3 Clarify Health Solutions
- 5.3.2.3.1 Company Overview
- 5.3.2.3.2 Role of Clarify Health Solutions in the Global Big Data in Healthcare Market
- 5.3.2.3.3 Funding Scenario
- 5.3.2.3.4 Recent Developments
- 5.3.2.3.5 SWOT Analysis
- 5.3.2.4 Datavant
- 5.3.2.4.1 Company Overview
- 5.3.2.4.2 Role of Datavant in the Global Big Data in Healthcare Market
- 5.3.2.4.3 Funding Scenario
- 5.3.2.4.4 Recent Developments
- 5.3.2.4.5 SWOT Analysis
- 5.3.2.5 Lynxcare Inc.
- 5.3.2.5.1 Company Overview
- 5.3.2.5.2 Role of Lynxcare Inc. in the Global Big Data in Healthcare Market
- 5.3.2.5.3 Funding Scenario
- 5.3.2.5.4 Recent Developments
- 5.3.2.5.5 SWOT Analysis
- 5.3.2.6 MilagroAI
- 5.3.2.6.1 Company Overview
- 5.3.2.6.2 Role of MilagroAI in the Global Big Data in Healthcare Market
- 5.3.2.6.3 SWOT Analysis
- 5.3.2.7 Verana Health
- 5.3.2.7.1 Company Overview
- 5.3.2.7.2 Role of Verana Health in the Global Big Data in Healthcare Market
- 5.3.2.7.3 Funding Scenario
- 5.3.2.7.4 Recent Developments
- 5.3.2.7.5 SWOT Analysis
- List of Figures
- Figure 1: Big Data Sources
- Figure 2: Global Big Data and Cloud-Assisted Healthcare Ecosystem
- Figure 3: Global Big Data in Healthcare Market Dynamics Impact Analysis
- Figure 4: Global Big Data in Healthcare, Market Value Forecast Trend (by Region), $Million, 2016-2031
- Figure 5: Global Big Data in Healthcare Market Attractiveness Analysis (by Region), 2021-2031
- Figure 6: Global Big Data in Healthcare Market Segmentation
- Figure 7: Global Big Data in Healthcare Market, Research Methodology
- Figure 8: Primary Research
- Figure 9: Secondary Research
- Figure 10: Data Triangulation
- Figure 11: Global Big Data in Healthcare Market Research Process
- Figure 12: Assumptions and Limitations
- Figure 13: Global Big Data in Healthcare Market, Potential Forecast Scenarios, Year-on-Year Growth Analysis, 2020-2031
- Figure 14: Global Big Data in Healthcare Market, Realistic Growth Scenario, $Million, 2020-2031
- Figure 15: Global Big Data in Healthcare Market, Optimistic Growth Scenario, $Million, 2020-2031
- Figure 16: Global Big Data in Healthcare Market, Pessimistic Growth Scenario, $Million, 2020-2031
- Figure 17: Medical Image Processing Bioinformatics Tools (by Modality and Function)
- Figure 18: Global Big Data in Healthcare Market, Incremental Opportunity Analysis, $Million, 2021-2031
- Figure 19: Global Big Data in Healthcare Market, Product Benchmarking (by Key Players)
- Figure 20: Global Big Data in Healthcare Market Patent Analysis, Patent Documents (by Country/Cluster), 2016-2021
- Figure 21: Global Big Data in Healthcare Market Patent Analysis, Patent Documents (by Year), 2018-2021
- Figure 22: Global Big Data in Healthcare Market, End User Perspectives
- Figure 23: Global Big Data in Healthcare Ecosystem
- Figure 24: Global Big Data in Healthcare Market Business Models (by Category)
- Figure 25: Global Big Data in Healthcare, Key Success Factors
- Figure 26: Key Objectives for the AAO-Verana Health Partnership
- Figure 27: Verana Health Offerings, Use Cases
- Figure 28: Innovation Areas for ConcertAI
- Figure 29: ConcertAI-FDA Collaboration, Key Objectives
- Figure 30: ConcertAI Offerings, Use Cases
- Figure 31: Lynxcare Inc. Offerings, Use Cases
- Figure 32: Percentage Change in Outpatient Visits, Baseline Week vs. Subsequent Weeks
- Figure 33: Percentage Change in Visits from Baseline (by Region), 2020
- Figure 34: Global Big Data in Healthcare Market Dynamics, Impact Analysis
- Figure 35: Growth in Wearable Technology Penetration (by Region), 2015 and 2020
- Figure 36: Global Healthcare Expenditure Per Capita Growth, $, 2000-2019
- Figure 37: U.S. Health IT Interoperability Goals
- Figure 38: Global Big Data in Healthcare Market (by Use Case)
- Figure 39: Global Big Data in Healthcare Incremental Opportunity (by Use Case), $Million, 2021-2031
- Figure 40: Use of Clinical Data Analytics
- Figure 41: Use of Clinical Data Analytics in Recent Healthcare Initiatives
- Figure 42: Global Big Data in Healthcare Market (Clinical Data Analytics), $Million, 2020-2031
- Figure 43: Global Big Data in Healthcare Market (Financial Analytics), $Million, 2020-2031
- Figure 44: Financial Analytics: Sub-Segments
- Figure 45: Claims Processing Procedure
- Figure 46: Revenue Cycle Management Process
- Figure 47: Risk Assessment Process
- Figure 48: Global Big Data in Healthcare Market (Operational Analytics), $Million, 2020-2031
- Figure 49: Process of Supply Chain in Healthcare
- Figure 50: Global Big Data in Healthcare Market (by Mode of Deployment)
- Figure 51: Global Big Data in Healthcare Incremental Opportunity (by Mode of Deployment), $Million, 2021-2031
- Figure 52: Global Big Data in Healthcare Market (On-Premises), $Million, 2020-2031
- Figure 53: Global Big Data in Healthcare Market (Cloud- and Web-Based), $Million, 2020-2031
- Figure 54: Global Big Data in Healthcare Market (by End User)
- Figure 55: Global Big Data in Healthcare Incremental Opportunity (by End User), $Million, 2021-2031
- Figure 56: Global Big Data in Healthcare Market (Professional Healthcare Settings), $Million, 2020-2031
- Figure 57: Global Big Data in Healthcare Market (Healthcare Companies and Consultancies), $Million, 2020-2031
- Figure 58: Global Big Data in Healthcare Market (Government Agencies/Bodies), $Million, 2020-2031
- Figure 59: Global Big Data in Healthcare Market (Finance and Insurance Agencies), $Million, 2020-2031
- Figure 60: Global Big Data in Healthcare Market (Academic and Research Institutes), $Million, 2020-2031
- Figure 61: Global Big Data in Healthcare Market (by Components and Services)
- Figure 62: Global Big Data in Healthcare Incremental Opportunity (by Components and Services), $Million, 2021-2031
- Figure 63: Importance of Hardware Components in Big Data Analytics in the Healthcare Sector
- Figure 64: Global Big Data in Healthcare Market (Hardware), $Million, 2020-2031
- Figure 65: Global Big Data in Healthcare Market (Software), $Million, 2020-2031
- Figure 66: Global Big Data in Healthcare Market (by End User)
- Figure 67: Global Big Data in Healthcare Market (Analytics Services), $Million, 2020-2031
- Figure 68: Global Big Data in Healthcare Market (Descriptive Analysis), $Million, 2020-2031
- Figure 69: Global Big Data in Healthcare Market (Predictive Analysis), $Million, 2020-2031
- Figure 70: Global Big Data in Healthcare Market (Prescriptive Analysis), $Million, 2020-2031
- Figure 71: Global Big Data in Healthcare Market (by Region), 2021 and 2031
- Figure 72: North America Big Data in Healthcare Market Incremental Revenue Opportunity (by Country), $Million, 2021-2031
- Figure 73: North America Big Data in Healthcare Market, $Million, 2020-2031
- Figure 74: North America Big Data in Healthcare Market (by Use Case), $Million, 2020-2031
- Figure 75: North America Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 76: North America Big Data in Healthcare Market (by Components and Services), $Million, 2020-2031
- Figure 77: U.S. Big Data in Healthcare Market, $Million, 2020-2031
- Figure 78: U.S. Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 79: Canada Big Data in Healthcare Market, $Million, 2020-2031
- Figure 80: Canada Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 81: European Commission eHealth Action Plan
- Figure 82: Europe Big Data in Healthcare Market Incremental Revenue Opportunity (by Country), $Million, 2021-2031
- Figure 83: Europe Big Data in Healthcare Market, $Million, 2020-2031
- Figure 84: Europe Big Data in Healthcare Market (by Use Case), $Million, 2020-2031
- Figure 85: Europe Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 86: Europe Big Data in Healthcare Market (by Components and Services), $Million, 2020-2031
- Figure 87: Germany Big Data in Healthcare Market, $Million, 2020-2031
- Figure 88: Germany Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 89: U.K. Big Data in Healthcare Market, $Million, 2020-2031
- Figure 90: U.K. Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 91: France Big Data in Healthcare Market, $Million, 2020-2031
- Figure 92: France Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 93: Italy Big Data in Healthcare Market, $Million, 2020-2031
- Figure 94: Italy Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 95: Spain Big Data in Healthcare Market, $Million, 2020-2031
- Figure 96: Spain Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 97: Rest-of-Europe Big Data in Healthcare Market, $Million, 2020-2031
- Figure 98: Rest-of-Europe Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 99: Asia-Pacific Big Data in Healthcare Market Incremental Revenue Opportunity (by Country), $Million, 2021-2031
- Figure 100: Asia-Pacific Big Data in Healthcare Market, $Million, 2020-2031
- Figure 101: Asia-Pacific Big Data in Healthcare Market (by Use Case), $Million, 2020-2031
- Figure 102: Asia-Pacific Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 103: Asia-Pacific Big Data in Healthcare Market (by Components and Services), $Million, 2020-2031
- Figure 104: China Big Data in Healthcare Market, $Million, 2020-2031
- Figure 105: China Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 106: Japan Big Data in Healthcare Market, $Million, 2020-2031
- Figure 107: Japan Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 108: India Big Data in Healthcare Market, $Million, 2020-2031
- Figure 109: India Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 110: Australia and New Zealand Big Data in Healthcare Market, $Million, 2020-2031
- Figure 111: Australia and New Zealand Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 112: Rest-of-Asia-Pacific Big Data in Healthcare Market, $Million, 2020-2031
- Figure 113: Rest-of-the-Asia-Pacific Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 114: Rest-of-the-World Big Data in Healthcare Market Incremental Revenue Opportunity (by Country), $Million, 2021-2031
- Figure 115: Rest-of-the-World Big Data in Healthcare Market, $Million, 2020-2031
- Figure 116: Rest-of-the-World Big Data in Healthcare Market (by Use Case), $Million, 2020-2031
- Figure 117: Rest-of-the-World Big Data in Healthcare Market (by End User), $Million, 2020-2031
- Figure 118: Asia-Pacific Big Data in Healthcare Market (by Components and Services), $Million, 2020-2031
- Figure 119: Latin America Big Data in Healthcare Market, $Million, 2020-2031
- Figure 120: Middle East and Africa Big Data in Healthcare Market, $Million, 2020-2031
- Figure 121: Global Big Data in Healthcare Market Key Developments, January 2018-February 2022
- Figure 122: Global Big Data in Healthcare Market Partnerships, Alliances, and Business Expansions (by Company), January 2018-February 2022
- Figure 123: Global Big Data in Healthcare Market Funding Activities (by Company), January 2018-February 2022
- Figure 124: Global Big Data in Healthcare Market Mergers and Acquisitions (by Company), January 2018-February 2022
- Figure 125: Global Big Data in Healthcare Market Share Analysis (Data Analytics), 2021
- Figure 126: Active Health Management: Product Portfolio
- Figure 127: Allscripts Healthcare Solutions, Inc.: Product Portfolio
- Figure 128: Allscripts Healthcare Solutions, Inc.: Overall Financials 2019-2021
- Figure 129: Allscripts Healthcare Solutions, Inc.: Net Revenue (by Segment), $Million, 2019-2021
- Figure 130: Allscripts Healthcare Solutions, Inc.: Net Revenue (by Region), $Million, 2019-2021
- Figure 131: Allscripts Healthcare Solutions, Inc.: R&D Expenditure, $Million, 2019-2021
- Figure 132: Cerner Corporation: Product Portfolio
- Figure 133: Cerner Corporation: Overall Financials 2018-2020
- Figure 134: Cerner Corporation: Net Revenue (by Segment), $Million, 2018-2020
- Figure 135: Epic Systems Corporation: Product Portfolio
- Figure 136: eClinicalWorks: Product Portfolio
- Figure 137: General Electric Company: Product Portfolio
- Figure 138: General Electric Company: Overall Financials, 2018-2020
- Figure 139: General Electric Company: Net Revenue (by Segment), $Million, 2018-2020
- Figure 140: General Electric Company: Net Revenue (by Region), $Million, 2018-2020
- Figure 141: General Electric Company: R&D Expenditure, $Million, 2018-2020
- Figure 142: Siemens Healthineers AG: Product Portfolio
- Figure 143: Siemens Healthineers AG: Overall Financials, 2019-2021
- Figure 144: Siemens Healthineers AG: Net Revenue (by Segment), $Million, 2019-2021
- Figure 145: Siemens Healthineers AG: Net Revenue (by Region), $Million, 2019-2021
- Figure 146: Siemens Healthineers AG: R&D Expenditure, $Million, 2019-2021
- Figure 147: MedeAnalytics, Inc.: Product Portfolio
- Figure 148: Abacus Insights: Product Portfolio
- Figure 149: ConcertAI: Product Portfolio
- Figure 150: Clarify Health Solutions: Product Portfolio
- Figure 151: Datavant: Product Portfolio
- Figure 152: Lynxcare Inc.: Product Portfolio
- Figure 153: MilagroAI: Product Portfolio
- Figure 154: Verana Health: Product Portfolio
- List of Tables
- Table 1: Global Big Data in Healthcare, Key Barriers to Implementation
- Table 2: Global Big Data in Healthcare Market, Key Developments, January 2018-February 2022
- Table 3: Global Big Data in Healthcare Patent Analysis, 2018-2021
- Table 4: Amaron-Lynxcare Inc. Solution, Mode of Operation
- Table 5: Global Big Data in Healthcare Market, Impact on Market Size (by Components and Services), $Million, 2020
- Table 6: Applications of Clinical Data Analytics
- Table 7: FDA Draft Guidance Documents
- Table 8: North America Big Data in Healthcare Market Dynamics, Impact Analysis
- Table 9: Europe Big Data in Healthcare Market Dynamics, Impact Analysis
- Table 10: Asia-Pacific Key Regulatory Bodies
- Table 11: Asia-Pacific Big Data in Healthcare Market Dynamics, Impact Analysis
- Table 12: Rest-of-the-World Key Regulatory Bodies
- Table 13: Rest-of-the-World Big Data in Healthcare Market Dynamics, Impact Analysis
- Table 14: Abacus Insights Funding, January 2018- February 2020
- Table 15: Clarify Health Solutions Funding, January 2018-February 2020
- Table 16: Datavant Funding, January 2018-February 2020
- Table 17: Lynxcare Inc. Funding, January 2018-February 2020
- Table 18: Verana Health Funding, January 2018-February 2020
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