全球临床智慧市场规模、份额和成长分析：按组件、按类型、按应用、按最终用户、按地区 - 行业预测，2024-2031 年

2022年临床智慧市场规模估值为11.2亿美元，预计在预测期内（2024-2031年）复合年增长率为13.40%，从2023年的12.7亿美元增长到2031年的12.7亿美元。亿美元。

由于进阶分析和人工智慧在医疗保健领域的日益融合，全球临床智慧市场正在经历显着成长。临床智慧世界利用资料驱动的见解来改善患者照护、资源分配、业务效率等方面的决策。推动市场扩张的关键因素包括医疗资料的指数级增长、持续的技术进步以及对个人化和基于价值的护理模式的需求。主要驱动因素包括改善患者治疗结果、简化医疗保健工作流程以及管理医疗保健中与资料相关的复杂性。随着产业越来越多地采用资料主导策略，全球临床情报市场正在经历持续成长和发展。

目录

介绍

• 研究目的
• 定义
• 市场范围

调查方法

• 资讯采购
• 二手资料来源和主要资料来源
• 市场规模预测
• 市场假设与限制

执行摘要

• 市场概况展望
• 供需趋势分析
• 按细分市场的机会分析

市场动态及展望

• 市场动态
  • 促进因素
  • 机会
  • 抑制因素
  • 任务
• 波特的分析

主要市场考察

• 技术分析
• 价值链分析
• 价格分析
• Start-Ups分析
• 监管环境
• 关键成功因素
• 市场吸引力指数
• 竞争程度
• 主要投资机会
• 生态系绘图

全球临床情报市场：按组成部分

• 市场概况
• 硬体
• 软体
• 服务

全球临床智慧市场：按类型

• 市场概况
• PHM（Population Health Management）
• 回顾性绩效管理预测分析
• 临床基准化分析
• 临床决策支援系统（CDSS）
• 品质提升
• 绩效衡量系统

临床情报市场：依应用分类

• 市场概况
• 收益周期管理
• 供应链
• 诈骗
• 财务管理

临床情报市场：依最终使用者分类

• 市场概况
• 医院
• 诊所
• 其他的

临床智慧市场规模：按地区

• 市场概况
• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲国家地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地区
• 中东和非洲 (MEA)
  • 海湾合作委员会国家
  • 南非
  • 其他中东/非洲地区

竞争格局

• 前5名企业对比
• 主要企业市场定位（2023年）
• 主要市场参与者所采取的策略
• 近期市集活动
• 主要企业市场占有率（2023年）

主要企业简介

• 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