시장보고서
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1768853

세계의 환자 데이터 허브 솔루션 시장 규모, 점유율, 업계 분석 보고서 : 전개 방식별, 솔루션 유형별, 최종 용도별, 지역별 전망 및 예측(2025-2032년)

Global Patient Data Hub Solutions Market Size, Share & Industry Analysis Report By Deployment Mode, By Solution Type, By End-use,, By Regional Outlook and Forecast, 2025 - 2032

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 351 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 환자 데이터 허브 솔루션 시장 규모는 예측 기간 동안 7.3%의 CAGR로 성장하여 2032년까지 26억 4,000만 달러에 달할 것으로 예상됩니다.

KBV Cardinal matrix- 환자 데이터 허브 솔루션 시장 경쟁 분석

KBV Cardinal matrix의 분석에 따르면, Optum, Inc.는 2025년 5월, Optum, Inc.는 환자의 임상 데이터와 재무 데이터를 통합하는 병원을 위한 AI 기반 수익 주기 관리(RCM) 플랫폼을 발표했습니다. 이 솔루션은 청구 정확도 향상, 워크플로우 자동화, 환자 데이터 허브의 주요 기능인 정보에 기반한 의사결정을 지원하여 중앙 집중식 데이터 인텔리전스를 통해 의료 시스템 전반의 효율성과 재무적 성과를 향상시킵니다. Capgemini SE, IQVIA Holdings, Inc., Veeva Systems, Inc. 등이 이 시장의 주요 혁신 기업입니다.

COVID-19 영향 분석

COVID-19 팬데믹 기간 동안 디지털 헬스 기술 도입이 크게 증가하여 시장에 긍정적인 영향을 미쳤습니다. 대면 진료가 제한됨에 따라 의료 서비스 제공자는 환자 정보 관리를 디지털 플랫폼으로 전환할 수밖에 없었습니다. 그 결과, 원격진료, 환자 모니터링, 이해관계자 간의 원활한 커뮤니케이션을 지원할 수 있는 중앙 집중식 데이터 시스템이 빠르게 도입되었습니다. 이처럼 COVID-19 팬데믹은 시장에 긍정적인 영향을 미쳤습니다.

시장 성장요인

오늘날의 헬스케어 생태계에서 다양한 헬스케어 플랫폼과 의료 서비스 제공자 간에 환자 데이터를 원활하게 공유하고, 접근하고, 활용할 수 있는 것은 필수적인 우선순위가 되고 있습니다. 상호운용성에 대한 관심의 증가는 전 세계적으로 환자 데이터 허브 솔루션의 도입을 촉진하는 가장 강력한 촉매제 중 하나입니다. 상호운용성이란 서로 다른 시스템, 장치, 애플리케이션이 서로 다른 시스템, 장치, 애플리케이션이 최종사용자에게 추가적인 번거로움을 주지 않고 서로 연결되고 통신할 수 있는 것을 말합니다. 즉, 상호운용성과 통합 데이터 생태계의 필요성은 의료 기관을 환자 데이터 허브 솔루션으로 이끄는 근본적인 원동력이 되고 있습니다. 이러한 시스템은 단순히 촉진하는 것뿐만 아니라, 연결되고 효율적인 헬스케어 환경을 구현하는 것입니다.

또한, 전 세계 헬스케어 환경은 획일적인 접근 방식에서 보다 개인화되고 정밀한 치료 모델로 전환되고 있습니다. 이러한 변화는 개인화된 치료에 필요한 방대한 양의 다양한 환자 데이터를 관리하고 통합하여 개인화된 치료에 필수적인 인에이블러 역할을 하는 환자 데이터 허브 솔루션에 큰 원동력이 되고 있습니다. 따라서 개인화된 의료와 정밀의료에 대한 관심의 증가는 단순한 트렌드가 아닌 의료 패러다임의 근본적인 변화이며, 다차원적인 환자 데이터를 통합하고 일관성 있고 실용적인 인텔리전스로 전환하기 위해 환자 데이터 허브 솔루션에 크게 의존하고 있는 상황입니다.

시장 억제요인

환자 데이터 허브(PDH) 솔루션의 보급을 가로막는 가장 큰 제약 중 하나는 도입, 통합 및 장기적인 유지보수에 따른 막대한 비용 부담입니다. 이러한 플랫폼은 복잡하고, 고도의 IT 인프라, 전문 인력, 그리고 지속적인 시스템 업그레이드가 필요하며, 이 모든 것에 막대한 설비 투자와 운영 비용이 소요됩니다. 즉, 고가의 설비 투자, 복잡한 통합 및 지속적인 운영 비용은 특히 소규모의 한정된 자원을 가진 의료기관의 경우, 도입에 큰 경제적 장벽이 되어 시장 침투를 저해하고 있습니다.

가치사슬 분석

이 시장의 가치사슬 분석은 데이터 서비스의 포괄적이고 순환적인 흐름을 보여줍니다. 먼저 데이터 수집을 시작으로 데이터 통합과 토큰화를 통해 안전한 처리를 보장합니다. 다음으로 데이터 저장 및 관리를 통해 효율적인 처리를 지원하고, 분석 및 인사이트 창출을 통해 실용적인 결과를 얻을 수 있습니다. 컴플라이언스 및 규제 지원은 건강 관련 규제 준수를 보장합니다. 이 밸류체인은 마케팅 및 영업 지원, 플랫폼 제공 및 사용자 경험, 고객 지원 및 교육으로 이어집니다. 마지막으로, 지속적인 혁신과 연구개발을 통해 개선을 촉진하고 데이터 수집 프로세스를 강화합니다.

시장 점유율 분석

전개 모드의 전망

전개 방식에 따라 시장은 클라우드 기반과 온프레미스로 분류됩니다. 온프레미스 부문은 2024년 시장 매출 점유율의 30%를 차지했습니다. 온프레미스 부문은 특정 데이터 보안, 사용자 지정 또는 규제 요구 사항이 있는 조직에 지속적으로 서비스를 제공하고 있습니다. 이러한 솔루션은 헬스케어 기관의 물리적 시설에서 호스팅되기 때문에 데이터 저장 및 액세스를 보다 엄격하게 제어할 수 있습니다.

솔루션 유형 전망

솔루션 유형에 따라 시장은 의료 데이터 앱 및 AI, 데이터 통합, 환자 360도 뷰 플랫폼, 기타로 분류됩니다. 데이터 통합 부문은 2024년 시장 매출 점유율의 35%를 차지했습니다. 이러한 솔루션은 전자건강기록(EHR), 영상 시스템, 검사 데이터, 타사 애플리케이션 등 여러 헬스케어 플랫폼의 정보를 통합하는 역할을 합니다. 데이터 통합 솔루션은 연결된 생태계를 구축하여 임상의, 관리자 및 기타 이해관계자가 정확하고 종합적인 정보에 적시에 접근할 수 있도록 돕습니다.

최종 용도 전망

최종 용도별로 시장은 헬스케어 기업, 헬스케어 제공자, 헬스케어 지불자, 기타로 분류됩니다. 의료 서비스 제공자 부문은 2024년 시장 매출 점유율 29%를 차지했습니다. 의료 제공자 부문에는 병원, 진료소, 외래 진료 센터, 전문 의료 기관이 포함됩니다. 이들 조직은 환자 데이터 허브를 활용하여 임상적 의사결정 개선, 환자 안전 향상, 진료 조정의 효율성 향상을 위해 노력하고 있습니다.

지역 전망

지역별로는 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카로 시장을 분석했습니다. 북미 부문은 2024년 시장에서 가장 큰 매출 점유율인 39%를 차지했습니다. 북미는 환자 데이터 허브 솔루션의 주요 시장으로 부상하고 있습니다. 이 지역은 첨단 의료 인프라, 전자 의료 기록(EHR)의 광범위한 도입, 상호 운용성 및 의료 IT 이니셔티브에 대한 강력한 규제 지원 등의 혜택을 누리고 있습니다.

시장 경쟁과 특성

이 시장에서의 경쟁은 업계 내에서 치열한 경쟁이 벌어지고 있습니다. 많은 중견기업과 신생기업들이 혁신, 가격, 서비스 차별화를 위해 치열한 경쟁을 벌이고 있습니다. 잦은 기술 발전, 낮은 스위칭 비용, 원활한 데이터 통합에 대한 수요 증가로 경쟁이 치열해지면서 기업들은 지속적으로 서비스를 강화하고 전략적 제휴를 맺어 시장에서의 주도권을 강화하기 위해 노력하고 있습니다.

목차

제1장 시장 범위와 조사 방법

  • 시장 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 요람

  • 주요 하이라이트

제3장 시장 개요

  • 소개
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장 과제

제4장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 전개
    • 파트너십, 협업, 계약
    • 제품 발매와 제품 확대
    • 인수와 합병
  • 시장 점유율 분석, 2024년
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 활동
  • Porter’s Five Forces 분석

제5장 환자 데이터 허브 솔루션 시장 밸류체인 분석

  • 데이터 수집
  • 데이터 통합과 토큰화
  • 데이터 보존과 관리
  • 분석과 인사이트 생성
  • 마케팅과 세일즈 지원
  • 플랫폼 배포와 사용자 경험
  • 컴플라이언스와 규제 서포트
  • 고객 지원과 트레이닝
  • 지속적인 혁신과 연구개발

제6장 환자 데이터 허브 솔루션 시장의 주요 고객 기준

제7장 세계의 환자 데이터 허브 솔루션 시장 : 전개 방식별

  • 세계의 클라우드 기반 시장 : 지역별
  • 세계의 온프레미스 시장 : 지역별

제8장 세계의 환자 데이터 허브 솔루션 시장 : 솔루션 유형별

  • 세계의 헬스 데이터 앱과 AI 시장 : 지역별
  • 세계의 데이터 통합 시장 : 지역별
  • 세계의 환자 360도 뷰 플랫폼 시장 : 지역별
  • 세계의 기타 솔루션 유형 시장 : 지역별

제9장 세계의 환자 데이터 허브 솔루션 시장 : 최종 용도별

  • 세계의 헬스케어 기업 시장 : 지역별
  • 세계의 의료 제공자 시장 : 지역별
  • 세계의 헬스케어 보험 시장 : 지역별
  • 세계의 기타 최종 용도 시장 : 지역별

제10장 세계의 환자 데이터 허브 솔루션 시장 : 지역별

  • 북미
    • 북미의 환자 데이터 허브 솔루션 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
    • 유럽의 환자 데이터 허브 솔루션 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아태평양
    • 아시아태평양의 환자 데이터 허브 솔루션 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카, 중동 및 아프리카
    • 라틴아메리카, 중동 및 아프리카의 환자 데이터 허브 솔루션 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카, 중동 및 아프리카

제11장 기업 개요

  • IQVIA Holdings, Inc
  • Innovaccer, Inc
  • WellSky Corporation
  • Veeva Systems, Inc
  • Capgemini SE
  • Optum, Inc(UnitedHealth Group, Inc.)
  • ZS Associates, Inc
  • Nextgen healthcare, inc
  • IntegriChain, Inc
  • Informatica Inc

제12장 환자 데이터 허브 솔루션 시장 성공 필수 조건

ksm 25.07.22

The Global Patient Data Hub Solutions Market size is expected to reach $2.64 billion by 2032, rising at a market growth of 7.3% CAGR during the forecast period.

These systems enable healthcare providers, payers, and researchers to access real-time patient information, consolidate electronic health records (EHR), and support interoperability among various digital health platforms. The model offers enhanced scalability, cost-efficiency, and accessibility compared to on-premise solutions. As the healthcare sector continues its digital transformation, cloud-based platforms have emerged as a preferred option due to their ability to streamline clinical workflows, support remote care delivery, and ensure secure data sharing.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June, 2025, IQVIA Holdings, Inc. unveiled AI Agents designed to automate and streamline healthcare and life sciences operations. These tools support real-time decision-making by integrating diverse patient data, aligning with Patient Data Hub Solutions to optimize patient engagement, data unification, and clinical workflow automation. Additionally, In June, 2025, Innovaccer, Inc. unveiled AI agents to reduce administrative burdens in healthcare by automating routine tasks. These agents enhance data interoperability and care workflows, aligning with the Market by improving access to real-time patient insights and streamlining data-centric decision-making across clinical and administrative operations.

KBV Cardinal Matrix - Patient Data Hub Solutions Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Optum, Inc. is the forerunner in the Market. In May, 2025, Optum, Inc. unveiled an AI-powered revenue cycle management (RCM) platform for hospitals that integrates clinical and financial patient data. The solution enhances claims accuracy, automates workflows, and supports informed decision-making-key functions of a Patient Data Hub-boosting efficiency and financial outcomes across health systems through centralized data intelligence. Companies such as Capgemini SE, IQVIA Holdings, Inc., and Veeva Systems, Inc. are some of the key innovators in the Market.

COVID-19 Impact Analysis

During the COVID-19 pandemic, there was a significant surge in the adoption of digital health technologies, which positively influenced the market. Healthcare providers were compelled to transition to digital platforms for managing patient information due to the limitations imposed on in-person consultations. This led to a rapid deployment of centralized data systems capable of supporting remote care, patient monitoring, and streamlined communication between stakeholders. Thus, the COVID-19 pandemic had a positive impact on the market.

Market Growth Factors

In today's healthcare ecosystem, the ability to seamlessly share, access, and utilize patient data across various healthcare platforms and providers has become an essential priority. The growing emphasis on interoperability is one of the most powerful catalysts driving the adoption of patient data hub solutions globally. Interoperability refers to the capability of disparate systems, devices, and applications to connect and communicate in a coordinated manner, without requiring extra effort from the end user. In conclusion, the imperative for interoperability and integrated data ecosystems is a foundational force that continues to drive healthcare organizations toward Patient Data Hub solutions. These systems are not merely facilitators but enablers of a connected and efficient healthcare environment.

Additionally, the global healthcare landscape is shifting from a one-size-fits-all approach to more personalized and precision-based models of treatment. This transformation is a major driver for Patient Data Hub solutions, which serve as essential enablers by managing and harmonizing vast volumes of diverse patient data necessary for individualized care. Therefore, the rising emphasis on personalized and precision medicine is not merely a trend but a fundamental shift in the care paradigm-one that heavily relies on Patient Data Hub solutions to synthesize multi-dimensional patient data into coherent, actionable intelligence.

Market Restraining Factors

One of the most critical restraints hampering the widespread adoption of Patient Data Hub (PDH) solutions is the significant cost burden associated with their deployment, integration, and long-term maintenance. These platforms are complex, requiring advanced IT infrastructure, specialized human resources, and ongoing system upgrades-all of which demand substantial capital and operational expenditure. In conclusion, the high capital investment, integration complexity, and recurring operational costs present a substantial financial barrier to adoption, particularly for smaller and resource-constrained healthcare providers, limiting the market's penetration.

Value Chain Analysis

The value chain analysis of this Market illustrates a comprehensive, cyclical flow of data services. It begins with Data Acquisition, followed by Data Integration & Tokenization to ensure secure processing. Data Storage & Management supports efficient handling, enabling Analytics & Insight Generation for actionable outcomes. Compliance & Regulatory Support ensures adherence to health regulations. The chain continues through Marketing & Sales Enablement, Platform Delivery & User Experience, and Customer Support & Training. Finally, Continuous Innovation & R&D fuels improvements, looping back to strengthen the data acquisition process.

Market Share Analysis

Deployment Mode Outlook

Based on deployment mode, the market is characterized into cloud-based and on-premise. The on-premise segment procured 30% revenue share in the market in 2024. On-premise segment continues to serve organizations with specific data security, customization, or regulatory needs. These solutions are hosted within the physical premises of healthcare institutions, offering greater control over data storage and access.

Solution Type Outlook

On the basis of solution type, the market is classified into health data apps & AI, data integration, patient 360 view platforms, and others. The data integration segment recorded 35% revenue share in the market in 2024. These solutions are responsible for aggregating information from multiple healthcare platforms such as electronic health records (EHRs), imaging systems, lab data, and third-party applications. By creating a connected ecosystem, data integration solutions ensure that clinicians, administrators, and other stakeholders have timely access to accurate and comprehensive information.

End-use Outlook

By end use, the market is divided into healthcare companies, healthcare providers, healthcare payers, and others. The healthcare providers segment garnered 29% revenue share in the market in 2024. The healthcare providers segment encompasses hospitals, clinics, ambulatory care centers, and specialty care institutions. These organizations leverage patient data hubs to improve clinical decision-making, enhance patient safety, and streamline care coordination.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 39% the largest revenue share in the market in 2024. The North America segment stands out as a leading market for patient data hub solutions. The region benefits from a highly advanced healthcare infrastructure, widespread adoption of electronic health records (EHRs), and strong regulatory support for interoperability and health IT initiatives.

Market Competition and Attributes

The competition in this Market is marked by high industry rivalry. Numerous mid-sized firms and startups compete aggressively on innovation, pricing, and service differentiation. Frequent technological advancements, low switching costs, and increasing demand for seamless data integration intensify the race, driving companies to continuously enhance their offerings and form strategic collaborations to gain market traction.

Recent Strategies Deployed in the Market

  • May-2025: Innovaccer, Inc. unveiled Innovaccer Gravity integrates AI to unify and analyze patient data across platforms, enabling personalized care delivery. As a robust data infrastructure, it exemplifies a next-gen patient data hub, driving market growth through improved clinical workflows, real-time analytics, and seamless data integration.
  • May-2025: Optum, Inc. unveiled an AI-powered revenue cycle management (RCM) platform for hospitals that integrates clinical and financial patient data. The solution enhances claims accuracy, automates workflows, and supports informed decision-making-key functions of a Patient Data Hub-boosting efficiency and financial outcomes across health systems through centralized data intelligence.
  • May-2025: Informatica Inc. unveiled Agentic AI capabilities on its cloud platform, enhancing autonomous data integration and governance. These AI-driven tools are highly relevant for patient data hubs, improving decision-making, data quality, and security in healthcare settings.
  • Apr-2025: Innovaccer, Inc. unveiled AI copilots and agents that reduce care documentation time by 28% and improve patient engagement by 20%. These tools support the Patient Data Hub Market by streamlining data collection and enabling proactive, personalized care via advanced health information management.
  • Mar-2025: IQVIA Holdings, Inc. unveiled Site Lab Navigator, featuring e-requisition capabilities to streamline clinical trial workflows. The platform enhances data collection, integration, and lab coordination, which directly supports Patient Data Hub Solutions by improving efficiency, accuracy, and patient data accessibility in trial environments.

List of Key Companies Profiled

  • IQVIA Holdings, Inc.
  • Innovaccer, Inc.
  • WellSky Corporation
  • Veeva Systems, Inc.
  • Capgemini SE
  • Optum, Inc. (UnitedHealth Group, Inc.)
  • ZS Associates, Inc.
  • NEXTGEN HEALTHCARE, INC.
  • IntegriChain, Inc.
  • Informatica Inc.

Global Patient Data Hub Solutions Market Report Segmentation

By Deployment Mode

  • Cloud-based
  • On-premise

By Solution Type

  • Health Data Apps & AI
  • Data Integration
  • Patient 360 View Platforms
  • Other Solution Type

By End-use

  • Healthcare Companies
  • Healthcare Providers
  • Healthcare Payers
  • Other End-use

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

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 Patient Data Hub Solutions Market, by Deployment Mode
    • 1.4.2 Global Patient Data Hub Solutions Market, by Solution Type
    • 1.4.3 Global Patient Data Hub Solutions Market, by End-use
    • 1.4.4 Global Patient Data Hub Solutions Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

  • 4.1 KBV Cardinal Matrix
  • 4.2 Recent Industry Wide Strategic Developments
    • 4.2.1 Partnerships, Collaborations and Agreements
    • 4.2.2 Product Launches and Product Expansions
    • 4.2.3 Acquisition and Mergers
  • 4.3 Market Share Analysis, 2024
  • 4.4 Top Winning Strategies
    • 4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
    • 4.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2021, Jun - 2025, Jun) Leading Players
  • 4.5 Porter Five Forces Analysis

Chapter 5. Value Chain Analysis of Patient Data Hub Solutions Market

  • 5.1 Data Acquisition
  • 5.2 Data Integration & Tokenization
  • 5.3 Data Storage & Management
  • 5.4 Analytics & Insight Generation
  • 5.5 Marketing & Sales Enablement
  • 5.6 Platform Delivery & User Experience
  • 5.7 Compliance & Regulatory Support
  • 5.8 Customer Support & Training
  • 5.9 Continuous Innovation & R&D

Chapter 6. Key Costumer Criteria of Patient Data Hub Solutions Market

Chapter 7. Global Patient Data Hub Solutions Market by Deployment Mode

  • 7.1 Global Cloud-based Market by Region
  • 7.2 Global On-premise Market by Region

Chapter 8. Global Patient Data Hub Solutions Market by Solution Type

  • 8.1 Global Health Data Apps & AI Market by Region
  • 8.2 Global Data Integration Market by Region
  • 8.3 Global Patient 360 View Platforms Market by Region
  • 8.4 Global Other Solution Type Market by Region

Chapter 9. Global Patient Data Hub Solutions Market by End-use

  • 9.1 Global Healthcare Companies Market by Region
  • 9.2 Global Healthcare Providers Market by Region
  • 9.3 Global Healthcare Payers Market by Region
  • 9.4 Global Other End-use Market by Region

Chapter 10. Global Patient Data Hub Solutions Market by Region

  • 10.1 North America Patient Data Hub Solutions Market
    • 10.1.1 North America Patient Data Hub Solutions Market by Deployment Mode
      • 10.1.1.1 North America Cloud-based Market by Region
      • 10.1.1.2 North America On-premise Market by Region
    • 10.1.2 North America Patient Data Hub Solutions Market by Solution Type
      • 10.1.2.1 North America Health Data Apps & AI Market by Country
      • 10.1.2.2 North America Data Integration Market by Country
      • 10.1.2.3 North America Patient 360 View Platforms Market by Country
      • 10.1.2.4 North America Other Solution Type Market by Country
    • 10.1.3 North America Patient Data Hub Solutions Market by End-use
      • 10.1.3.1 North America Healthcare Companies Market by Country
      • 10.1.3.2 North America Healthcare Providers Market by Country
      • 10.1.3.3 North America Healthcare Payers Market by Country
      • 10.1.3.4 North America Other End-use Market by Country
    • 10.1.4 North America Patient Data Hub Solutions Market by Country
      • 10.1.4.1 US Patient Data Hub Solutions Market
        • 10.1.4.1.1 US Patient Data Hub Solutions Market by Deployment Mode
        • 10.1.4.1.2 US Patient Data Hub Solutions Market by Solution Type
        • 10.1.4.1.3 US Patient Data Hub Solutions Market by End-use
      • 10.1.4.2 Canada Patient Data Hub Solutions Market
        • 10.1.4.2.1 Canada Patient Data Hub Solutions Market by Deployment Mode
        • 10.1.4.2.2 Canada Patient Data Hub Solutions Market by Solution Type
        • 10.1.4.2.3 Canada Patient Data Hub Solutions Market by End-use
      • 10.1.4.3 Mexico Patient Data Hub Solutions Market
        • 10.1.4.3.1 Mexico Patient Data Hub Solutions Market by Deployment Mode
        • 10.1.4.3.2 Mexico Patient Data Hub Solutions Market by Solution Type
        • 10.1.4.3.3 Mexico Patient Data Hub Solutions Market by End-use
      • 10.1.4.4 Rest of North America Patient Data Hub Solutions Market
        • 10.1.4.4.1 Rest of North America Patient Data Hub Solutions Market by Deployment Mode
        • 10.1.4.4.2 Rest of North America Patient Data Hub Solutions Market by Solution Type
        • 10.1.4.4.3 Rest of North America Patient Data Hub Solutions Market by End-use
  • 10.2 Europe Patient Data Hub Solutions Market
    • 10.2.1 Europe Patient Data Hub Solutions Market by Deployment Mode
      • 10.2.1.1 Europe Cloud-based Market by Country
      • 10.2.1.2 Europe On-premise Market by Country
    • 10.2.2 Europe Patient Data Hub Solutions Market by Solution Type
      • 10.2.2.1 Europe Health Data Apps & AI Market by Country
      • 10.2.2.2 Europe Data Integration Market by Country
      • 10.2.2.3 Europe Patient 360 View Platforms Market by Country
      • 10.2.2.4 Europe Other Solution Type Market by Country
    • 10.2.3 Europe Patient Data Hub Solutions Market by End-use
      • 10.2.3.1 Europe Healthcare Companies Market by Country
      • 10.2.3.2 Europe Healthcare Providers Market by Country
      • 10.2.3.3 Europe Healthcare Payers Market by Country
      • 10.2.3.4 Europe Other End-use Market by Country
    • 10.2.4 Europe Patient Data Hub Solutions Market by Country
      • 10.2.4.1 Germany Patient Data Hub Solutions Market
        • 10.2.4.1.1 Germany Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.1.2 Germany Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.1.3 Germany Patient Data Hub Solutions Market by End-use
      • 10.2.4.2 UK Patient Data Hub Solutions Market
        • 10.2.4.2.1 UK Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.2.2 UK Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.2.3 UK Patient Data Hub Solutions Market by End-use
      • 10.2.4.3 France Patient Data Hub Solutions Market
        • 10.2.4.3.1 France Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.3.2 France Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.3.3 France Patient Data Hub Solutions Market by End-use
      • 10.2.4.4 Russia Patient Data Hub Solutions Market
        • 10.2.4.4.1 Russia Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.4.2 Russia Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.4.3 Russia Patient Data Hub Solutions Market by End-use
      • 10.2.4.5 Spain Patient Data Hub Solutions Market
        • 10.2.4.5.1 Spain Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.5.2 Spain Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.5.3 Spain Patient Data Hub Solutions Market by End-use
      • 10.2.4.6 Italy Patient Data Hub Solutions Market
        • 10.2.4.6.1 Italy Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.6.2 Italy Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.6.3 Italy Patient Data Hub Solutions Market by End-use
      • 10.2.4.7 Rest of Europe Patient Data Hub Solutions Market
        • 10.2.4.7.1 Rest of Europe Patient Data Hub Solutions Market by Deployment Mode
        • 10.2.4.7.2 Rest of Europe Patient Data Hub Solutions Market by Solution Type
        • 10.2.4.7.3 Rest of Europe Patient Data Hub Solutions Market by End-use
  • 10.3 Asia Pacific Patient Data Hub Solutions Market
    • 10.3.1 Asia Pacific Patient Data Hub Solutions Market by Deployment Mode
      • 10.3.1.1 Asia Pacific Cloud-based Market by Country
      • 10.3.1.2 Asia Pacific On-premise Market by Country
    • 10.3.2 Asia Pacific Patient Data Hub Solutions Market by Solution Type
      • 10.3.2.1 Asia Pacific Health Data Apps & AI Market by Country
      • 10.3.2.2 Asia Pacific Data Integration Market by Country
      • 10.3.2.3 Asia Pacific Patient 360 View Platforms Market by Country
      • 10.3.2.4 Asia Pacific Other Solution Type Market by Country
    • 10.3.3 Asia Pacific Patient Data Hub Solutions Market by End-use
      • 10.3.3.1 Asia Pacific Healthcare Companies Market by Country
      • 10.3.3.2 Asia Pacific Healthcare Providers Market by Country
      • 10.3.3.3 Asia Pacific Healthcare Payers Market by Country
      • 10.3.3.4 Asia Pacific Other End-use Market by Country
    • 10.3.4 Asia Pacific Patient Data Hub Solutions Market by Country
      • 10.3.4.1 China Patient Data Hub Solutions Market
        • 10.3.4.1.1 China Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.1.2 China Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.1.3 China Patient Data Hub Solutions Market by End-use
      • 10.3.4.2 Japan Patient Data Hub Solutions Market
        • 10.3.4.2.1 Japan Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.2.2 Japan Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.2.3 Japan Patient Data Hub Solutions Market by End-use
      • 10.3.4.3 India Patient Data Hub Solutions Market
        • 10.3.4.3.1 India Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.3.2 India Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.3.3 India Patient Data Hub Solutions Market by End-use
      • 10.3.4.4 South Korea Patient Data Hub Solutions Market
        • 10.3.4.4.1 South Korea Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.4.2 South Korea Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.4.3 South Korea Patient Data Hub Solutions Market by End-use
      • 10.3.4.5 Singapore Patient Data Hub Solutions Market
        • 10.3.4.5.1 Singapore Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.5.2 Singapore Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.5.3 Singapore Patient Data Hub Solutions Market by End-use
      • 10.3.4.6 Malaysia Patient Data Hub Solutions Market
        • 10.3.4.6.1 Malaysia Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.6.2 Malaysia Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.6.3 Malaysia Patient Data Hub Solutions Market by End-use
      • 10.3.4.7 Rest of Asia Pacific Patient Data Hub Solutions Market
        • 10.3.4.7.1 Rest of Asia Pacific Patient Data Hub Solutions Market by Deployment Mode
        • 10.3.4.7.2 Rest of Asia Pacific Patient Data Hub Solutions Market by Solution Type
        • 10.3.4.7.3 Rest of Asia Pacific Patient Data Hub Solutions Market by End-use
  • 10.4 LAMEA Patient Data Hub Solutions Market
    • 10.4.1 LAMEA Patient Data Hub Solutions Market by Deployment Mode
      • 10.4.1.1 LAMEA Cloud-based Market by Country
      • 10.4.1.2 LAMEA On-premise Market by Country
    • 10.4.2 LAMEA Patient Data Hub Solutions Market by Solution Type
      • 10.4.2.1 LAMEA Health Data Apps & AI Market by Country
      • 10.4.2.2 LAMEA Data Integration Market by Country
      • 10.4.2.3 LAMEA Patient 360 View Platforms Market by Country
      • 10.4.2.4 LAMEA Other Solution Type Market by Country
    • 10.4.3 LAMEA Patient Data Hub Solutions Market by End-use
      • 10.4.3.1 LAMEA Healthcare Companies Market by Country
      • 10.4.3.2 LAMEA Healthcare Providers Market by Country
      • 10.4.3.3 LAMEA Healthcare Payers Market by Country
      • 10.4.3.4 LAMEA Other End-use Market by Country
    • 10.4.4 LAMEA Patient Data Hub Solutions Market by Country
      • 10.4.4.1 Brazil Patient Data Hub Solutions Market
        • 10.4.4.1.1 Brazil Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.1.2 Brazil Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.1.3 Brazil Patient Data Hub Solutions Market by End-use
      • 10.4.4.2 Argentina Patient Data Hub Solutions Market
        • 10.4.4.2.1 Argentina Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.2.2 Argentina Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.2.3 Argentina Patient Data Hub Solutions Market by End-use
      • 10.4.4.3 UAE Patient Data Hub Solutions Market
        • 10.4.4.3.1 UAE Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.3.2 UAE Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.3.3 UAE Patient Data Hub Solutions Market by End-use
      • 10.4.4.4 Saudi Arabia Patient Data Hub Solutions Market
        • 10.4.4.4.1 Saudi Arabia Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.4.2 Saudi Arabia Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.4.3 Saudi Arabia Patient Data Hub Solutions Market by End-use
      • 10.4.4.5 South Africa Patient Data Hub Solutions Market
        • 10.4.4.5.1 South Africa Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.5.2 South Africa Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.5.3 South Africa Patient Data Hub Solutions Market by End-use
      • 10.4.4.6 Nigeria Patient Data Hub Solutions Market
        • 10.4.4.6.1 Nigeria Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.6.2 Nigeria Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.6.3 Nigeria Patient Data Hub Solutions Market by End-use
      • 10.4.4.7 Rest of LAMEA Patient Data Hub Solutions Market
        • 10.4.4.7.1 Rest of LAMEA Patient Data Hub Solutions Market by Deployment Mode
        • 10.4.4.7.2 Rest of LAMEA Patient Data Hub Solutions Market by Solution Type
        • 10.4.4.7.3 Rest of LAMEA Patient Data Hub Solutions Market by End-use

Chapter 11. Company Profiles

  • 11.1 IQVIA Holdings, Inc.
    • 11.1.1 Company Overview
    • 11.1.2 Financial Analysis
    • 11.1.3 Segmental and Regional Analysis
    • 11.1.4 Recent strategies and developments:
      • 11.1.4.1 Partnerships, Collaborations, and Agreements:
      • 11.1.4.2 Product Launches and Product Expansions:
    • 11.1.5 SWOT Analysis
  • 11.2 Innovaccer, Inc.
    • 11.2.1 Company Overview
    • 11.2.2 Recent strategies and developments:
      • 11.2.2.1 Partnerships, Collaborations, and Agreements:
      • 11.2.2.2 Product Launches and Product Expansions:
      • 11.2.2.3 Acquisition and Mergers:
  • 11.3 WellSky Corporation
    • 11.3.1 Company Overview
    • 11.3.2 Recent strategies and developments:
      • 11.3.2.1 Partnerships, Collaborations, and Agreements:
      • 11.3.2.2 Product Launches and Product Expansions:
      • 11.3.2.3 Acquisition and Mergers:
  • 11.4 Veeva Systems, Inc.
    • 11.4.1 Company Overview
    • 11.4.2 Financial Analysis
    • 11.4.3 Regional Analysis
    • 11.4.4 Research & Development Expenses
    • 11.4.5 Recent strategies and developments:
      • 11.4.5.1 Product Launches and Product Expansions:
      • 11.4.5.2 Acquisition and Mergers:
    • 11.4.6 SWOT Analysis
  • 11.5 Capgemini SE
    • 11.5.1 Company Overview
    • 11.5.2 Financial Analysis
    • 11.5.3 Regional Analysis
    • 11.5.4 SWOT Analysis
  • 11.6 Optum, Inc. (UnitedHealth Group, Inc.)
    • 11.6.1 Company Overview
    • 11.6.2 Financial Analysis
    • 11.6.3 Segmental Analysis
    • 11.6.4 Recent strategies and developments:
      • 11.6.4.1 Product Launches and Product Expansions:
  • 11.7 ZS Associates, Inc.
    • 11.7.1 Company Overview
    • 11.7.2 Recent strategies and developments:
      • 11.7.2.1 Product Launches and Product Expansions:
      • 11.7.2.2 Acquisition and Mergers:
  • 11.8 Nextgen healthcare, inc.
    • 11.8.1 Company Overview
    • 11.8.2 Recent strategies and developments:
      • 11.8.2.1 Partnerships, Collaborations, and Agreements:
      • 11.8.2.2 Product Launches and Product Expansions:
    • 11.8.3 SWOT Analysis
  • 11.9 IntegriChain, Inc.
    • 11.9.1 Company Overview
    • 11.9.2 Recent strategies and developments:
      • 11.9.2.1 Partnerships, Collaborations, and Agreements:
      • 11.9.2.2 Product Launches and Product Expansions:
      • 11.9.2.3 Acquisition and Mergers:
  • 11.10. Informatica Inc.
    • 11.10.1 Company Overview
    • 11.10.2 Financial Analysis
    • 11.10.3 Regional Analysis
    • 11.10.4 Research & Development Expenses
    • 11.10.5 Recent strategies and developments:
      • 11.10.5.1 Product Launches and Product Expansions:
    • 11.10.6 SWOT Analysis

Chapter 12. Winning Imperatives of Patient Data Hub Solutions Market

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