全球臨床智慧市場規模、佔有率和成長分析：按組件、按類型、按應用、按最終用戶、按地區 - 行業預測，2024-2031 年

2022年臨床智慧市場規模估值為11.2億美元，預計在預測期內（2024-2031年）複合年成長率為13.40%，從2023年的12.7億美元成長到2031年的12.7億美元。億美元。

由於進階分析和人工智慧在醫療保健領域的日益融合，全球臨床智慧市場正在經歷顯著成長。臨床智慧世界利用資料驅動的見解來改善患者照護、資源分配、業務效率等方面的決策。推動市場擴張的關鍵因素包括醫療資料的指數級成長、持續的技術進步以及對個人化和基於價值的護理模式的需求。主要促進因素包括改善患者治療結果、簡化醫療保健工作流程以及管理醫療保健中與資料相關的複雜性。隨著產業擴大採用資料主導策略，全球臨床情報市場正在經歷持續成長和發展。

目錄

介紹

• 研究目的
• 定義
• 市場範圍

調查方法

• 資訊採購
• 二手資料來源和主要資料來源
• 市場規模預測
• 市場假設與限制

執行摘要

• 市場概況展望
• 供需趨勢分析
• 按細分市場的機會分析

市場動態及展望

• 市場動態
  • 促進因素
  • 機會
  • 抑制因素
  • 任務
• 波特的分析

主要市場考察

• 技術分析
• 價值鏈分析
• 價格分析
• Start-Ups分析
• 監管環境
• 關鍵成功因素
• 市場吸引力指數
• 競爭程度
• 主要投資機會
• 生態系繪圖

全球臨床情報市場：按組成部分

• 市場概況
• 硬體
• 軟體
• 服務

全球臨床智慧市場：按類型

• 市場概況
• PHM（Population Health Management）
• 回顧性績效管理預測分析
• 臨床基準化分析
• 臨床決策支援系統（CDSS）
• 品質提升
• 績效衡量系統

臨床情報市場：依應用分類

• 市場概況
• 收益周期管理
• 供應鏈
• 詐騙
• 財務管理

臨床情報市場：依最終使用者分類

• 市場概況
• 醫院
• 診所
• 其他

臨床智慧市場規模：按地區

• 市場概況
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲國家地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地區
• 中東和非洲 (MEA)
  • 海灣合作理事會國家
  • 南非
  • 其他中東/非洲地區

競爭格局

• 前5名企業對比
• 主要企業市場定位（2023年）
• 主要市場參與者所採取的策略
• 近期市集活動
• 主要企業市場佔有率（2023年）

主要企業簡介

• IBM Corporation
• Informatica
• Microsoft Azure
• NVIDIA
• Philips Healthcare
• Roche Holding AG
• SAS Institute, Inc.
• Siemens Healthineers
• Tempus AI
• Verily Life Sciences
• Veeva Systems Inc.
• Wellforce
• Accenture PLC
• Amazon Web Services（AWS）
• Amwell
• athenahealth, Inc.
• Cerner Corporation
• DeepMind Technologies Limited
• GE Healthcare
• Google Health

Clinical Intelligence Market size was valued at USD 1.12 Billion in 2022 and is poised to grow from USD 1.27 Billion in 2023 to USD 3.47 Billion by 2031, at a CAGR of 13.40% during the forecast period (2024-2031)

The Clinical Intelligence Market is experiencing significant growth driven by the rising integration of advanced analytics and artificial intelligence within healthcare. Clinical intelligence utilizes data-driven insights to improve decision-making across patient care, resource allocation, and operational efficiency. Key factors propelling market expansion include the exponential increase in healthcare data, continuous technological advancements, and the demand for personalized and value-based care models. Central drivers encompass enhancing patient outcomes, streamlining healthcare workflows, and managing the complexities associated with data in healthcare. With the industry increasingly embracing data-driven strategies, the Clinical Intelligence Market is positioned for sustained growth and development.

Top-down and bottom-up approaches were used to estimate and validate the size of the Clinical Intelligence market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Clinical Intelligence Market Segmental Analysis

Clinical Intelligence market is segmented on the basis of component, type, application, end-user, and region. Based on component, the market is segmented into Hardware, Software, and Services. Based on type, the market is segmented into Population Health Management, Retrospective Performance Management Predictive Analytics, Clinical Benchmarking, Clinical Decision Support System, Quality Improvement, and Performance Measurement Systems. Based on application, the market is segmented into Revenue Cycle Management, Supply Chain, Fraud, and Financial Management. Based on end-user, the market is segmented into Hospitals, Clinics, and Others. Based on region, the market is segmented into North America, Europe, Asia-Pacific, Latin America, Middle East and Africa.

Drivers of the Clinical Intelligence Market

The growing integration of digital healthcare data and the utilization of advanced analytics technologies, including artificial intelligence (AI) and machine learning, are crucial. Clinical Intelligence harnesses these technologies to extract actionable insights from intricate datasets, thereby enhancing decision-making in patient care and healthcare administration. This evolution signifies a transformative shift towards data-driven healthcare solutions that not only improve medical outcomes but also streamline operational efficiencies within healthcare systems. Elaborating on the integration of digital healthcare data and advanced analytics technologies such as AI and machine learning, Clinical Intelligence stands at the forefront of this transformation. By leveraging these technologies, healthcare professionals can extract meaningful insights from complex datasets that were previously challenging to analyze. These insights are pivotal in improving decision-making processes related to patient care and overall healthcare management. This shift towards data-driven approaches not only enhances medical outcomes but also optimizes operational efficiencies within healthcare systems, marking a significant advancement towards more effective and patient-centred healthcare practices.

Restraints in the Clinical Intelligence Market

One significant challenge in the marketplace involves the intricate nature of healthcare data sources and their interoperability issues, which impede smooth integration and analysis. Moreover, concerns about data security and privacy further restrict progress, demanding adherence to strict regulatory frameworks to safeguard sensitive patient information. These complexities not only complicate the seamless exchange of data across various platforms but also require robust measures to ensure that patient data remains secure and compliant with legal requirements. This dual challenge of interoperability and regulatory compliance underscores the need for innovative solutions that can navigate these hurdles while advancing healthcare data integration and utilization.

Market Trends of the Clinical Intelligence Market

AI and machine learning advancements are revolutionizing analytics, providing highly precise and personalized insights. The importance of leveraging clinical data for evidence-based decision-making is underscored by tangible real-world evidence, reflecting a global imperative for its adoption. Additionally, there is a growing emphasis on interoperability solutions, facilitating seamless integration of patient records across various healthcare providers, thereby enhancing the completeness and accessibility of patient information. In contemporary healthcare, AI and machine learning are transforming analytics by delivering precise, personalized insights. The shift towards evidence-based decision-making using clinical data is substantiated by compelling real-world examples, underscoring its global relevance. Moreover, interoperability solutions are gaining traction, enabling seamless integration of patient records across different healthcare providers. This advancement not only enriches but also broadens access to comprehensive patient information, contributing to more informed and effective healthcare delivery.

Table of Contents

Introduction

• Objectives of the Study
• Definitions
• Market Scope

Research Methodology

• Information Procurement
• Secondary & Primary Data Sources
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Market Overview Outlook
• Supply Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Dynamics
  • Drivers
  • Opportunities
  • Restraints
  • Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of Substitute Products
  • Bargaining Power of Buyers
  • Threat of New Entrants
  • Bargaining Power of Suppliers

Key Market Insights

• Technology Analysis
• Value Chain Analysis
• Pricing Analysis
• Start Up Analysis
• Regulatory Landscape
• Key Success Factors
• Market Attractiveness Index
• Degree of Competition
• Top Investment Pockets
• Ecosystem Mapping

Clinical Intelligence Market by Component

• Market Overview
• Hardware
• Software
• Services

Clinical Intelligence Market by Type

• Market Overview
• Population Health Management
• Retrospective Performance Management Predictive Analytics
• Clinical Benchmarking
• Clinical Decision Support System (CDSS)
• Quality Improvement
• Performance Measurement Systems

Clinical Intelligence Market by Application

• Market Overview
• Revenue Cycle Management
• Supply Chain
• Fraud
• Financial Management

Clinical Intelligence Market by End User

• Market Overview
• Hospitals
• Clinics
• Others

Clinical Intelligence Market Size by Region

• Market Overview
• North America
  • USA
  • Canada
• Europe
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America
  • Brazil
  • Rest of Latin America
• Middle East & Africa (MEA)
  • GCC Countries
  • South Africa
  • Rest of MEA

Competitive Landscape

• Top 5 Player Comparison
• Market Positioning of Key Players, 2023
• Strategies Adopted by Key Market Players
• Recent Activities in the Market
• Key Companies Market Share (%), 2023

Key Company Profiles

• IBM Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Informatica
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Azure
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NVIDIA
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Philips Healthcare
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Roche Holding AG
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAS Institute, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Siemens Healthineers
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Tempus AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Verily Life Sciences
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Veeva Systems Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Wellforce
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Accenture PLC
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services (AWS)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amwell
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• athenahealth, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cerner Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• DeepMind Technologies Limited
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• GE Healthcare
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google Health
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments