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HEALTHCARE

Global Electronic Health Records (EHR) Market - Industry Trends and Forecast to 2032

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​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
The global electronic health records (EHR) market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.

Electronic Health Records (EHR) are computerized versions of paper files that contain detailed patient information such as medical history, diagnosis, prescriptions, treatment plans, immunization dates, allergies, radiological pictures, and lab test results. They provide real-time, patient-centered records, making information instantaneously and securely available to authorized users, improving the efficiency and quality of care delivery. The EHR market includes the creation, deployment, and maintenance of these digital systems. It includes software and service companies who provide data storage, retrieval, and management solutions while also assuring compliance with healthcare legislation and standards. The market also includes auxiliary services like as training, support, and integration with other healthcare technology, with the goal of improving patient care coordination and outcomes while lowering operating costs.

The respective global report analyses market trends, consumer behaviour and industry dynamics to guide towards entry into new markets with ease. Also, it assists in tailoring market specific and related products and services to meet the needs, preferences, and expectations of target audience by delving into their psychology. The report also specializes with comprehensive and extensive competitive analysis which offers useful insights into competitor strengths, weaknesses, opportunities, and threats. The respective report offers exclusive insights into the potential impact of disruptive developments and technologies that are expected to completely transform corporate operations. The context includes tailor-made research solutions to create a stronger footprint in their particular industries thereby offering dedicated customized solutions according to the client needs which helps in addressing unique business challenges with more simplified and efficient decision-making solutions.
Market Dynamics
DRIVERS
  • Government initiatives and regulations for EHR implementation
  • Growing demand for digital healthcare systems
RESTRAINTS
  • High implementation and maintenance costs
  • Data privacy and security concerns
OPPORTUNITIES
  • Advancements in AI and machine learning for EHR analytics
  • Expansion of EHR usage in emerging markets
CHALLENGES
  • 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
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, and segments as per the client requirements.
REGIONAL SEGMENTATION
  • 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

The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.

Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.

The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.

Below mention are few of the sources which we have considered while estimating the market size:
For instance,
  • Research articles published on Technium
  • Science and MDPI
  • Research publications by government approved associations and societies

Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
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
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.

Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.

We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
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.

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