HEALTHCARE
Global Electronic Health Records (EHR) Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Electronic Health Records (EHR) Market, By Product (Cloud-based EHR Software, On-premise EHR Software), Type (Inpatient EHR, Outpatient EHR), Business Models (Licensed Software, Technology Resale, Subscriptions, Professional Services, Others), Application (Clinical Application, Administrative Application, Reporting in Healthcare Systems, Healthcare Financing, Clinical Research Application), End-user (Hospitals, Physician Offices & Clinics, Ambulatory Care Centers, Others) Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
Market Dynamics
- Government initiatives and regulations for EHR implementation
- Growing demand for digital healthcare systems
- High implementation and maintenance costs
- Data privacy and security concerns
- Advancements in AI and machine learning for EHR analytics
- Expansion of EHR usage in emerging markets
- Ensuring compliance with evolving regulatory standards
- Managing large volumes of healthcare data
SEGMENTATION
- Product
- Cloud-based EHR Software
- On-premise EHR Software
- Type
- Inpatient EHR
- Outpatient EHR
- Business Models
- Licensed Software
- Technology Resale
- Subscriptions
- Professional Services
- Others
- Application
- Clinical Application
- Administrative Application
- Reporting in Healthcare Systems
- Healthcare Financing
- Clinical Research Application
- End-user
- Hospitals
- Physician Offices & Clinics
- Ambulatory Care Centers
- Others
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Oracle (Cerner Corporation)
- NXGN Management, LLC.
- Veradigm LLC
- Epic Systems Corporation
- Dedalus S.p.A.
- Medical Information Technology, Inc. (MEDITECH)
- Computer Programs and Systems, Inc. (CPSI)
- Infor-Med, Inc. (Praxis EMR)
- eClinicalWorks, LLC
- AdvancedMD, Inc.
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Electronic Health Records (EHR) Market, by Product
- 3.2 Global Electronic Health Records (EHR) Market, by Type
- 3.3 Global Electronic Health Records (EHR) Market, by Business Models
- 3.4 Global Electronic Health Records (EHR) Market, by Application
- 3.5 Global Electronic Health Records (EHR) Market, by End-user
- 3.6 Global Electronic Health Records (EHR) Market, by Geography
- 3.7 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Increased adoption of cloud-based EHR solutions
- 5.1.2 Integration of AI and machine learning for predictive analytics
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Government initiatives and regulations for EHR implementation
- 5.2.2 Growing demand for digital healthcare systems
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 High implementation and maintenance costs
- 5.3.2 Data privacy and security concerns
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Advancements in AI and machine learning for EHR analytics
- 5.4.2 Expansion of EHR usage in emerging markets
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Ensuring compliance with evolving regulatory standards
- 5.5.2 Managing large volumes of healthcare data
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL ELECTRONIC HEALTH RECORDS (EHR) MARKET, BY PRODUCT
- 6.1 Product Summary
- 6.2 Market Attractive Index
- 6.3 Global Electronic Health Records (EHR) Market, by Product (2019-2032)
- SECTION 7 - GLOBAL ELECTRONIC HEALTH RECORDS (EHR) MARKET, BY TYPE
- 7.1 Type Summary
- 7.2 Market Attractive Index
- 7.3 Global Electronic Health Records (EHR) Market, by Type (2019-2032)
- SECTION 8 - GLOBAL ELECTRONIC HEALTH RECORDS (EHR) MARKET, BY BUSINESS MODELS
- 8.1 Business Models Summary
- 8.2 Market Attractive Index
- 8.3 Global Electronic Health Records (EHR) Market, by Business Models (2019-2032)
- SECTION 9 - GLOBAL ELECTRONIC HEALTH RECORDS (EHR) MARKET, BY APPLICATION
- 9.1 Application Summary
- 9.2 Market Attractive Index
- 9.3 Global Electronic Health Records (EHR) Market, by Application (2019-2032)
- SECTION 10 - GLOBAL ELECTRONIC HEALTH RECORDS (EHR) MARKET, BY END-USER
- 10.1 End-user Summary
- 10.2 Market Attractive Index
- 10.3 Global Electronic Health Records (EHR) Market, by End-user (2019-2032)
- SECTION 11 - GLOBAL ELECTRONIC HEALTH RECORDS (EHR) MARKET, BY GEOGRAPHY
- 11.1 Regional Summary
- 11.2 Market Attractive Index
- 11.3 Global Electronic Health Records (EHR) Market, by Geography (2019-2032)
- SECTION 12 - NORTH AMERICA ELECTRONIC HEALTH RECORDS (EHR) MARKET
- 12.1 North America Summary
- 12.2 Market Attractive Index
- 12.3 North America Electronic Health Records (EHR) Market, by Product (2019-2032)
- 12.4 North America Electronic Health Records (EHR) Market, by Type (2019-2032)
- 12.5 North America Electronic Health Records (EHR) Market, by Business Models (2019-2032)
- 12.6 North America Electronic Health Records (EHR) Market, by Application (2019-2032)
- 12.7 North America Electronic Health Records (EHR) Market, by End-user (2019-2032)
- 12.8 North America Electronic Health Records (EHR) Market, by Country (2019-2032)
- 12.8.1 U.S.
- 12.8.2 Canada
- 12.8.3 Mexico
- 12.8.4 Rest of North America
- SECTION 13 - EUROPE ELECTRONIC HEALTH RECORDS (EHR) MARKET
- 13.1 Europe Summary
- 13.2 Market Attractive Index
- 13.3 Europe Electronic Health Records (EHR) Market, by Product (2019-2032)
- 13.4 Europe Electronic Health Records (EHR) Market, by Type (2019-2032)
- 13.5 Europe Electronic Health Records (EHR) Market, by Business Models (2019-2032)
- 13.6 Europe Electronic Health Records (EHR) Market, by Application (2019-2032)
- 13.7 Europe Electronic Health Records (EHR) Market, by End-user (2019-2032)
- 13.8 Europe Electronic Health Records (EHR) Market, by Country (2019-2032)
- 13.8.1 Germany
- 13.8.2 U.K.
- 13.8.3 France
- 13.8.4 Italy
- 13.8.5 Spain
- 13.8.6 Russia
- 13.8.7 The Netherlands
- 13.8.8 Belgium
- 13.8.9 Turkey
- 13.8.10 Rest of Europe
- SECTION 14 - ASIA-PACIFIC ELECTRONIC HEALTH RECORDS (EHR) MARKET
- 14.1 Asia-Pacific Summary
- 14.2 Market Attractive Index
- 14.3 Asia-Pacific Electronic Health Records (EHR) Market, by Product (2019-2032)
- 14.4 Asia-Pacific Electronic Health Records (EHR) Market, by Type (2019-2032)
- 14.5 Asia-Pacific Electronic Health Records (EHR) Market, by Business Models (2019-2032)
- 14.6 Asia-Pacific Electronic Health Records (EHR) Market, by Application (2019-2032)
- 14.7 Asia-Pacific Electronic Health Records (EHR) Market, by End-user (2019-2032)
- 14.8 Asia-Pacific Electronic Health Records (EHR) Market, by Country (2019-2032)
- 14.8.1 China
- 14.8.2 India
- 14.8.3 Japan
- 14.8.4 South Korea
- 14.8.5 Singapore
- 14.8.6 Malaysia
- 14.8.7 Australia
- 14.8.8 Thailand
- 14.8.9 Philippines
- 14.8.10 Rest of Asia-Pacific
- SECTION 15 - SOUTH AMERICA ELECTRONIC HEALTH RECORDS (EHR) MARKET
- 15.1 South America Summary
- 15.2 Market Attractive Index
- 15.3 South America Electronic Health Records (EHR) Market, by Product (2019-2032)
- 15.4 South America Electronic Health Records (EHR) Market, by Type (2019-2032)
- 15.5 South America Electronic Health Records (EHR) Market, by Business Models (2019-2032)
- 15.6 South America Electronic Health Records (EHR) Market, by Application (2019-2032)
- 15.7 South America Electronic Health Records (EHR) Market, by End-user (2019-2032)
- 15.8 South America Electronic Health Records (EHR) Market, by Country (2019-2032)
- 15.8.1 Brazil
- 15.8.2 Argentina
- 15.8.3 Chile
- 15.8.4 Colombia
- 15.8.5 Rest of South America
- SECTION 16 - MIDDLE EAST AND AFRICA ELECTRONIC HEALTH RECORDS (EHR) MARKET
- 16.1 Middle East and Africa Summary
- 16.2 Market Attractive Index
- 16.3 Middle East and Africa Electronic Health Records (EHR) Market, by Product (2019-2032)
- 16.4 Middle East and Africa Electronic Health Records (EHR) Market, by Type (2019-2032)
- 16.5 Middle East and Africa Electronic Health Records (EHR) Market, by Business Models (2019-2032)
- 16.6 Middle East and Africa Electronic Health Records (EHR) Market, by Application (2019-2032)
- 16.7 Middle East and Africa Electronic Health Records (EHR) Market, by End-user (2019-2032)
- 16.8 Middle East and Africa Electronic Health Records (EHR) Market, by Country (2019-2032)
- 16.8.1 Kingdom of Saudi Arabia
- 16.8.2 South Africa
- 16.8.3 U.A.E.
- 16.8.4 Egypt
- 16.8.5 Rest of Middle East and Africa
- SECTION 17 - COMPANY SHARE ANALYSIS
- 17.1 Global Electronic Health Records (EHR) Market, Company Share Analysis
- 17.2 North America Electronic Health Records (EHR) Market, Company Share Analysis
- 17.3 Europe Electronic Health Records (EHR) Market, Company Share Analysis
- 17.4 Asia-Pacific Electronic Health Records (EHR) Market, Company Share Analysis
- SECTION 18 - COMPANY PROFILES
- 18.1 Oracle (Cerner Corporation)
- 18.1.1 Company Snapshot
- 18.1.2 Financial Overview
- 18.1.3 Product Portfolio
- 18.1.4 Recent Developments
- 18.2 NXGN Management, LLC.
- 18.2.1 Company Snapshot
- 18.2.2 Financial Overview
- 18.2.3 Product Portfolio
- 18.2.4 Recent Developments
- 18.3 Veradigm LLC
- 18.3.1 Company Snapshot
- 18.3.2 Financial Overview
- 18.3.3 Product Portfolio
- 18.3.4 Recent Developments
- 18.4 Epic Systems Corporation
- 18.4.1 Company Snapshot
- 18.4.2 Financial Overview
- 18.4.3 Product Portfolio
- 18.4.4 Recent Developments
- 18.5 Dedalus S.p.A.
- 18.5.1 Company Snapshot
- 18.5.2 Financial Overview
- 18.5.3 Product Portfolio
- 18.5.4 Recent Developments
- 18.6 Medical Information Technology, Inc. (MEDITECH)
- 18.6.1 Company Snapshot
- 18.6.2 Financial Overview
- 18.6.3 Product Portfolio
- 18.6.4 Recent Developments
- 18.7 Computer Programs and Systems, Inc. (CPSI)
- 18.7.1 Company Snapshot
- 18.7.2 Financial Overview
- 18.7.3 Product Portfolio
- 18.7.4 Recent Developments
- 18.8 Infor-Med, Inc. (Praxis EMR)
- 18.8.1 Company Snapshot
- 18.8.2 Financial Overview
- 18.8.3 Product Portfolio
- 18.8.4 Recent Developments
- 18.9 EClinicalWorks, LLC
- 18.9.1 Company Snapshot
- 18.9.2 Financial Overview
- 18.9.3 Product Portfolio
- 18.9.4 Recent Developments
- 18.10 AdvancedMD, Inc.
- 18.10.1 Company Snapshot
- 18.10.2 Financial Overview
- 18.10.3 Product Portfolio
- 18.10.4 Recent Developments
- SECTION 19 - RELATED REPORTS
- SECTION 20 - DISCLAIMER
RESEARCH METHODOLOGY
RESEARCH AND DATA COLLECTION
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.