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Regional Analysis

Global Big Data in Healthcare Market Share, Growth, Analysis: By Components: Software, Services; By Mode of Deployment: On - Premises, Cloud; By Analytics Type: Descriptive, Predictive, Prescriptive; By Applications: Clinical Data Analytics, Financial Analytics, Others; By End User; Regional Analysis; Supplier Landscape; 2024-2032

Global Big Data in Healthcare Market Regional Analysis

Geographically, North America is expected to dominate the big data healthcare market due to the rise in advancements in the Internet of Things (IoT). The market is further driven by the increase in demand for analytical models on patient information for better service delivery and government policies on the use of telemedicine and EHRs. The regional market is expected to keep an upward trajectory in the forecast period driven by the presence of an advanced and robust healthcare system, convenient in the adoption of advanced technologies such as big data and artificial intelligence AI.

 

Market players are investing heavily in technologically advanced healthcare solution companies, which is likely to drive the big data in healthcare market size further. In February 2023, Valant, a Seattle, WA-based provider of a cloud-based EHR for behavioral health practices, received an investment from Resurgens Technology Partners. The amount of the deal was not disclosed. The company intends to use the funds to expand how serves its customers and accelerate its new client acquisition in support of its purpose.

 

Big Data in Healthcare Market Report Snapshots

Big Data in Healthcare Market Size

Big Data in Healthcare Regional Analysis

Big Data in Healthcare Companies

 

*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.

1    Preface
    1.1    Objectives of the Study
    1.2    Key Assumptions 
    1.3    Report Coverage – Key Segmentation and Scope  
    1.4    Research Methodology
2    Executive Summary
3    Global Big Data in Healthcare Market Overview 

    3.1    Global Big Data in Healthcare Market Historical Value (2017-2023) 
    3.2    Global Big Data in Healthcare Market Forecast Value (2024-2032)
4    Global Big Data in Healthcare Market Landscape
    4.1    Global Big Data in Healthcare Developers Landscape
        4.1.1    Analysis by Year of Establishment
        4.1.2    Analysis by Company Size
        4.1.3    Analysis by Region
    4.2    Global Big Data in Healthcare Product Landscape
        4.2.1    Analysis by Type
        4.2.2    Analysis by Component 
        4.2.3    Analysis by Applications
5    Global Big Data in Healthcare Market Dynamics
    5.1    Market Drivers and Constraints
    5.2    SWOT Analysis
    5.3    Porter’s Five Forces Model 
    5.4    Key Demand Indicators
    5.5    Key Price Indicators
    5.6    Industry Events, Initiatives, and Trends 
    5.7    Value Chain Analysis
6    Global Big Data in Healthcare Market Segmentation 
    6.1    Global Big Data in Healthcare Market by Components
    6.1.1    Market Overview
        6.1.2    Software
            6.1.2.1    Electronic Health Record Software
            6.1.2.2    Practice Management
            6.1.2.3    Workforce Management
        6.1.3    Services
    6.2    Global Big Data in Healthcare Market by Mode of Deployment 
        6.2.1    Market Overview
        6.2.2    On - Premises
        6.2.3    Cloud
    6.3    Global Big Data in Healthcare Market by Analytics Type
        6.3.1    Market Overview
        6.3.2    Descriptive
        6.3.3    Predictive
        6.3.4    Prescriptive
    6.4    Global Big Data in Healthcare Market by Applications
        6.4.1    Market Overview
        6.4.2    Clinical Data Analytics
        6.4.3    Financial Analytics
        6.4.4    Operational Analytics
    6.5    Global Big Data in Healthcare Market by End User
        6.5.1    Market Overview
        6.5.2    Hospitals and Clinics
        6.5.3    Finance and Insurance Agencies
        6.5.4    Research Organizations
        6.5.5    Others 
    6.6    Global Big Data in Healthcare Market by Region
        6.6.1    Market Overview
        6.6.2    North America 
        6.6.3    Europe
        6.6.4    Asia Pacific
        6.6.5    Latin America
        6.6.6    Middle East and Africa
7    North America Big Data in Healthcare Market
    7.1    Market Share by Country
    7.2    United States of America
    7.3    Canada
8    Europe Big Data in Healthcare Market
    8.1    Market Share by Country
    8.2    United Kingdom
    8.3    Germany
    8.4    France
    8.5    Italy
    8.6    Others
9    Asia Pacific Big Data in Healthcare Market
    9.1    Market Share by Country
    9.2    China
    9.3    Japan
    9.4    India
    9.5    ASEAN
    9.6    Others
10    Latin America Big Data in Healthcare Market
    10.1    Market Share by Country
    10.2    Brazil
    10.3    Argentina
    10.4    Mexico
    10.5    Others
11    Middle East and Africa Big Data in Healthcare Market
    11.1    Market Share by Country
    11.2    Saudi Arabia
    11.3    United Arab Emirates
    11.4    Nigeria
    11.5    South Africa
    11.6    Others
12    Funding and Investment Analysis
    12.1    Analysis by Funding Instances
    12.2    Analysis by Type of Funding
    12.3    Analysis by Funding Amount
    12.4    Analysis by Leading Players
    12.5    Analysis by Leading Investors
    12.6    Analysis by Geography
13    Partnership and Collaborations Analysis
    13.1    Analysis by Partnership Instances
    13.2    Analysis by Type of Partnership
    13.3    Analysis by Leading Players
    13.4    Analysis by Geography
14    Regulatory Framework
15    Supplier Landscape

    15.1    Allscripts Healthcare Solutions, Inc.
        15.1.1    Financial Analysis
        15.1.2    Product Portfolio
        15.1.3    Demographic Reach and Achievements
        15.1.4    Mergers and Acquisition
        15.1.5    Certifications
    15.2    Cerner Corp.
        15.2.1    Financial Analysis
        15.2.2    Product Portfolio
        15.2.3    Demographic Reach and Achievements
        15.2.4    Mergers and Acquisition
        15.2.5    Certifications
    15.3    Optum Inc.
        15.3.1    Financial Analysis
        15.3.2    Product Portfolio
        15.3.3    Demographic Reach and Achievements
        15.3.4    Mergers and Acquisition
        15.3.5    Certifications
    15.4    Premier, Inc.
        15.4.1    Financial Analysis
        15.4.2    Product Portfolio
        15.4.3    Demographic Reach and Achievements
        15.4.4    Mergers and Acquisition
        15.4.5    Certifications
    15.5    McKesson Corporation
        15.5.1    Financial Analysis
        15.5.2    Product Portfolio
        15.5.3    Demographic Reach and Achievements
        15.5.4    Mergers and Acquisition
        15.5.5    Certifications
    15.6    Hewlett Packard Enterprise (HPE)
        15.6.1    Financial Analysis
        15.6.2    Product Portfolio
        15.6.3    Demographic Reach and Achievements
        15.6.4    Mergers and Acquisition
        15.6.5    Certifications
    15.7    International Business Machines Corporation (IBM)
        15.7.1    Financial Analysis
        15.7.2    Product Portfolio
        15.7.3    Demographic Reach and Achievements
        15.7.4    Mergers and Acquisition
        15.7.5    Certifications
    15.8    Microsoft Corporation
        15.8.1    Financial Analysis
        15.8.2    Product Portfolio
        15.8.3    Demographic Reach and Achievements
        15.8.4    Mergers and Acquisition
        15.8.5    Certifications
    15.9    Oracle Corp.
        15.9.1    Financial Analysis
        15.9.2    Product Portfolio
        15.9.3    Demographic Reach and Achievements
        15.9.4    Mergers and Acquisition
        15.9.5    Certifications
    15.10    GE Healthcare
        15.10.1    Financial Analysis
        15.10.2    Product Portfolio
        15.10.3    Demographic Reach and Achievements
        15.10.4    Mergers and Acquisition
        15.10.5    Certifications
16    Global Big Data in Healthcare Market - Distribution Model (Additional Insight)
    16.1    Overview 
    16.2    Potential Distributors 
    16.3    Key Parameters for Distribution Partner Assessment 
17    Key Opinion Leaders (KOL) Insights (Additional Insight)
18    Company Competitiveness Analysis (Additional Insight)

    18.1    Very Small Companies
    18.2    Small Companies
    18.3    Mid-Sized Companies
    18.4    Large Companies
    18.5    Very Large Companies
19    Payment Methods (Additional Insight)
    19.1    Government Funded
    19.2    Private Insurance
    19.3    Out-of-Pocket


*Additional insights provided are customisable as per client requirements.

Key Questions Answered in the Report

The market attained a value of about USD 34 billion in 2023, driven by increased advancements.

The market is anticipated to grow at a CAGR of 14% during the forecast period of 2024-2032 and is likely to reach a market value of USD 110.4 billion by 2032.

The rising demand for analytics solutions for patient health management, the need for big data to optimize health administration and strategy, the increasing adoption of big data in healthcare, the rising geriatric population, the preference for personalized treatment, product launches, increasing technological advancement in the healthcare sector is a major factor driving the market growth.

The increasing acquisitions between market players, such as Thoma Bravo acquiring NextGen Healthcare, is a major trend influencing the market growth.

The major regions of the market include North America, Europe, Asia Pacific, Latin America, Middle East, and Africa. North America is currently leading the global market.

The components include software such as electronic health record software, practice management, workforce management, and services.

There are two modes of deployment on-premises and cloud.

Types of analytics include descriptive, predictive, and prescriptive.

Big data in healthcare finds wide applications in clinical data analytics, financial analytics, and operational analytics.

End users in the market include hospitals, clinics, finance and insurance agencies, and research organizations, among others.

Key players involved in the market include Allscripts Healthcare Solutions, Inc., Cerner Corp., Optum Inc., Premier, Inc., McKesson Corporation, Hewlett Packard Enterprise (HPE), International Business Machines Corporation (IBM), Microsoft Corporation, Oracle Corp., GE Healthcare.

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