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市場調查報告書
商品編碼
1654655

全球醫療保健商業智慧市場 - 2025 年至 2033 年

Global Healthcare Business Intelligence Market - 2025-2033
出版日期: | 出版商: DataM Intelligence | 英文 192 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2024 年全球醫療保健商業智慧市場規模達到 85.1 億美元，預計到 2033 年將達到 165.3 億美元，2025-2033 年預測期間的複合年成長率為 7.5%。

商業智慧醫療保健描述了透過使用資料分析和多種資料科學流程從許多來源存取醫療保健資料日誌 - 包括電子健康記錄、實驗室、電子健康應用程式和設備以及智慧穿戴設備和政府機構等醫療設備。雲端資料庫的實施可以提供更安全、更具成本效益的資料存儲，這有助於支援資料的儲存、收集、分析和處理。所保存的資料可以為醫院、診所、綜合診所、保險公司、研究機構、製藥公司以及任何依靠處理健康資料而蓬勃發展的軟體公司帶來廣泛的利益。

市場動態：

促進因素與約束因素

先進技術的應用不斷增加

科技和醫療保健的進步也為健康商業智慧業務帶來了機會。健康商業智慧業務存在的唯一原因是對財務和病患照護兩個方面的觀察。此外，醫療保健領域許多平台和技術的日益廣泛和常規使用正在推動醫療商業智慧產業的擴張。因此，透過健康商業智慧工具和技術所獲得的資料和統計數據可以為消費者提供一些最佳的治療和服務。

例如，2024 年 10 月，Oracle Analytics Intelligence for Life Sciences 宣布由 AI 提供支援的雲端規模資料/分析平台透過將不同的資料集統一到單一智慧工作台中來簡化和加速洞察生成。該解決方案使他們能夠回答多學科的研究問題，獲得見解，並將其整合到現有的 Oracle 健康和生命科學應用程式中。這項創新是實現 Oracle 縮小臨床研究與臨床照護之間差距的願景的又一步。

實施成本高

全球醫療保健商業智慧市場的成長受到高昂實施成本的很大影響。特別是對於中小型醫療機構而言，與現代軟體解決方案、資料整合和基礎設施改進相關的成本可能會過高。進一步推動費用支出的是需要合格的人員來運作和控制商業智慧技術。這些財務障礙可能會減緩採用率，從而限制公司利用從資料中獲得的洞察力來提高營運效率、患者結果和決策的能力。

目錄

第 1 章：方法與範圍

第 2 章：定義與概述

第 3 章：執行摘要

第 4 章：動態

  • 影響因素
    • 驅動程式
      • 先進技術的應用不斷增加
    • 限制
      • 實施成本高
    • 機會
    • 影響分析

第5章：產業分析

  • 波特五力分析
  • 供應鏈分析
  • 定價分析
  • 監管分析

第 6 章：按組件

  • 軟體
  • 平台
  • 服務

第 7 章：按功能

  • 查詢和報告
  • OLAP（線上分析處理）與視覺化
  • 績效管理
  • 資料整合和 ETL（提取、轉換、載入）

第 8 章：按部署

  • 本地部署
  • 基於雲端

第9章：按應用

  • 臨床分析
  • 財務分析
  • 營運分析

第 10 章：按最終用戶

  • 醫院和診所
  • 醫療保健提供者
  • 付款人（保險公司）
  • 製藥和生物技術公司

第 11 章：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 中東和非洲

第 12 章：競爭格局

  • 競爭格局
  • 市場定位/佔有率分析
  • 併購分析

第 13 章：公司簡介

  • IBM Corporation
    • 公司概況
    • 產品組合
      • 產品描述
      • 產品關鍵績效指標 (KPI)
      • 歷史和預測產品銷售量
      • 產品銷售量
    • 財務概覽
      • 公司收入
      • 地區收入佔有率
      • 收入預測
    • 關鍵進展
      • 合併與收購
      • 關鍵產品開發活動
      • 監管部門批准等
    • SWOT 分析
  • Microsoft Corporation
  • Oracle Corporation
  • SAS Institute Inc
  • Tableau Software (Salesforce)
  • SAP SE
  • Qlik Technologies, Inc
  • Infor, Inc
  • MicroStrategy Incorporated
  • Sisense Inc
  • Similar data will be provided for each market player.
  • Domo公司
    • 管道產品描述
    • 產品關鍵績效指標 (KPI)
    • 主要活動
    • 市場進入時間表
    • 產品滲透率
    • 銷售估計和預測
  • 黃鰭鮪魚BI
  • 達塔派恩有限公司
  • 將為每個市場參與者提供類似的資料。

第 14 章：附錄

簡介目錄
Product Code: HCIT7888

The Global Healthcare Business Intelligence Market reached US$ 8.51 billion in 2024 and is expected to reach US$ 16.53 billion by 2033, growing at a CAGR of 7.5% during the forecast period 2025-2033.

Business Intelligence Healthcare depicts accessing healthcare data logs from many sources-including electronic health records, laboratories, eHealth applications, and devices, and medical equipment such as smart wearables and government agencies by using data analytics and multiple data science processes. The implementation of a cloud database can potentially provide more secure and cost-effective data storage, which may help to support the storage, collection, analysis, and processing of data. The data held could generate extensive benefits for hospitals, clinics, polyclinics, insurance companies, research organizations, pharmaceutical companies, and any software companies that thrive on handling health data.

Market Dynamics: Drivers & Restraints

Rise in the Adoption of Advanced Technologies

Advances in technology, and in health care, present opportunities for the health business intelligence business as well. The only reason for the existence of the health business intelligence business is the observation of both financial and patient care aspects. Furthermore, the growing and regular use of many platforms and technologies in healthcare is driving expansion of the health business intelligence industry. Consequently, some of the best treatments and services for consumers are made possible by the data and statistics acquired by means of health business intelligence tools and technologies.

For instance, in October 2024, Oracle Analytics Intelligence for Life Sciences announced AI-empowered, cloud-scale, data/analytics platform simplifies and accelerates insight generation by unifying disparate data sets into a single, intelligent workbench. The solution enables them to answer multidisciplinary research questions, derive insights, and integrate these into existing Oracle Health and Life Sciences applications. This innovation is yet another step toward realizing Oracle's vision of closing the gap between clinical research and clinical care.

High Implementation Costs

Global healthcare business intelligence market growth is greatly influenced by high implementation costs. Particularly for small and medium-sized healthcare facilities, the costs linked with modern software solutions, data integration, and infrastructure improvements might be prohibitive. Further driving expenses are the need of qualified individuals running and controlling business intelligence technologies. These financial obstacles might slow down adoption rates, therefore restricting the capacity of companies to use insights derived from data for better operational effectiveness, patient outcomes, and decision-making.

Segment Analysis

The global Healthcare Business Intelligence market is segmented based on Component, Functionality, Deployment, Application, End User and Region.

Component:

Softwares segment is expected to dominate the Healthcare Business Intelligence market share

Software solutions are a critical factor in the healthcare business intelligence market, as they allow healthcare organizations to analyze large volumes of data in an efficient manner. Advanced business intelligence software is in high demand because of the growing prevalence of electronic health records (EHRs) and the necessity for predictive analytics to enhance patient outcomes. Additionally, the integration of machine learning (ML) and artificial intelligence (AI) into business intelligence (BI) tools is improving the capacity to make decisions, resulting in increased efficiency and cost savings. The software segment's capacity to facilitate value-based care initiatives, streamline operations, and provide real-time insights has caused it to continue to prosper.

For instance, in September 2024, The AI-enabled features for industry specifics are new to be made available by Salesforce through Health Cloud. These features can improve quality and efficiency in patient care by relieving them of tedious tasks through automation. The new artificial intelligence competencies have been placed by Salesforce in each of its fifteen industry applications under a broader initiative to resolve organizational pain areas across fifteen industries. It employs Einstein Copilot to allow healthcare organizations to summarize patient information in natural language.

End User:

Hospitals and Clinics segment is expected to dominate the Healthcare Business Intelligence market share

The hospitals and clinics segment holds a major portion of the Healthcare Business Intelligence market share and is expected to continue to hold a significant portion of the Healthcare Business Intelligence market share during the forecast period.

Hospitals and clinics drive growth in the healthcare business intelligence market. These institutions are reliant on BI tools for resource allocation, patient care, and operational cost savings. On the other hand, the personal medicine and population health management trends keep pushing hospitals and clinics to adopt data-driven solutions.

For instance, in November 2024, Konica Minolta Healthcare Americas, Inc., an eminent player and world leader in medical diagnostic imaging and healthcare information technology, announced the launch of Exa Enterprise-a new enterprise imaging solution with integrated PACS/RIS core powered by Amazon Web Services (AWS). Targeted at hospitals with a maximum bed capacity of 500 and hospital-owned large imaging centers, Exa Enterprise integrates the best from third-party partners for vendor neutral archive (VNA), universal viewer, advanced visualization, image sharing, AI-enabled workflow orchestration, business intelligence, and speech and reporting.

Geographical Analysis

North America is expected to hold a significant position in the Healthcare Business Intelligence market share

North America holds a substantial position in the Healthcare Business Intelligence market and is expected to hold most of the market share due to the significant advancements, advanced healthcare infrastructure, rise in the investments on business intelligence, novel launches, government initivatives and also presence of major market players help the region to grow during the forecast period.

For instance, in October 2024, Weave, a well-known development in customer experience-technology-as-a-service and payment platforms worldwide, is announced the launch of its revolutionary AI-driven Call Intelligence product. With this revolutionary application, healthcare practices can now gain insight into call data and become able to improve their patient experience, enhance the efficiency of operations, and create new sources of revenue.

Europe is growing at the fastest pace in the Healthcare Business Intelligence market

Europe holds the fastest pace in the Healthcare Business Intelligence market and is expected to hold most of the market share due to accelerated regulatory frameworks stressing data accuracy and protection requirements, there has also been an increase in the demand for data analytics in response to an aging population. Countries such as Germany, the UK, and France are among the early adopters because of their focused digital health transformation roadmaps and national-level healthcare IT strategies.

Competitive Landscape

The major global players in the Healthcare Business Intelligence market include IBM Corporation, Microsoft Corporation, Oracle Corporation, SAS Institute Inc, Tableau Software (Salesforce), SAP SE, Qlik Technologies, Inc, Infor, Inc, MicroStrategy Incorporated, Sisense Inc and among others.

Key Developments

  • In October 2024, Clarify Health, which has received several awards for its work, is a healthcare data and analytics company. It has launched the Clarify Performance IQ Suite, the world's first AI-enabled application for opportunity analytics that covers cost, quality, and utilization. The core technologies characterizing the Performance IQ Suite are machine learning and natural language processing, offering health plans and other stakeholders' unique insights to curtail costs, enhance quality of care, and secure a competitive advantage.
  • In June 2024, SoftBank Group Corp announced the establishment of a joint venture "SB TEMPUS Corp." with Tempus AI, Inc., a leader in artificial intelligence and precision medicine. The joint venture agreement was entered into in May 2024, and closing of the joint venture is expected, subject to customary closing conditions, to proceed as early as July 2024, at which time each party will invest an amount of JPY15.0 billion.

Why Purchase the Report?

  • Pipeline & Innovations: Reviews ongoing clinical trials, product pipelines, and forecasts upcoming advancements in medical devices and pharmaceuticals.
  • Product Performance & Market Positioning: Analyzes product performance, market positioning, and growth potential to optimize strategies.
  • Real-World Evidence: Integrates patient feedback and data into product development for improved outcomes.
  • Physician Preferences & Health System Impact: Examines healthcare provider behaviors and the impact of health system mergers on adoption strategies.
  • Market Updates & Industry Changes: Covers recent regulatory changes, new policies, and emerging technologies.
  • Competitive Strategies: Analyzes competitor strategies, market share, and emerging players.
  • Pricing & Market Access: Reviews pricing models, reimbursement trends, and market access strategies.
  • Market Entry & Expansion: Identifies optimal strategies for entering new markets and partnerships.
  • Regional Growth & Investment: Highlights high-growth regions and investment opportunities.
  • Supply Chain Optimization: Assesses supply chain risks and distribution strategies for efficient product delivery.
  • Sustainability & Regulatory Impact: Focuses on eco-friendly practices and evolving regulations in healthcare.
  • Post-market Surveillance: Uses post-market data to enhance product safety and access.
  • Pharmacoeconomics & Value-Based Pricing: Analyzes the shift to value-based pricing and data-driven decision-making in R&D.

The global Healthcare Business Intelligence market report delivers a detailed analysis with 62 key tables, more than 56 visually impactful figures, and 192 pages of expert insights, providing a complete view of the market landscape.

Target Audience 2024

  • Manufacturers: Pharmaceutical, Medical Device, Biotech Companies, Contract Manufacturers, Distributors, Hospitals.
  • Regulatory & Policy: Compliance Officers, Government, Health Economists, Market Access Specialists.
  • Deployment & Innovation: AI/Robotics Providers, R&D Professionals, Clinical Trial Managers, Pharmacovigilance Experts.
  • Investors: Healthcare Investors, Venture Fund Investors, Pharma Marketing & Sales.
  • Consulting & Advisory: Healthcare Consultants, Industry Associations, Analysts.
  • Supply Chain: Distribution and Supply Chain Managers.
  • Consumers & Advocacy: Patients, Advocacy Groups, Insurance Companies.
  • Academic & Research: Academic Institutions.

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Component
  • 3.2. Snippet by Functionality
  • 3.3. Snippet by Deployment
  • 3.4. Snippet by Application
  • 3.5. Snippet by End User
  • 3.6. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Rise in the Adoption of Advanced Technologies
    • 4.1.2. Restraints
      • 4.1.2.1. High Implementation Costs
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. By Component

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 6.1.2. Market Attractiveness Index, By Component
  • 6.2. Software*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Platforms
  • 6.4. Services

7. By Functionality

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 7.1.2. Market Attractiveness Index, By Functionality
  • 7.2. Query and Reporting*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. OLAP (Online Analytical Processing) and Visualization
  • 7.4. Performance Management
  • 7.5. Data Integration and ETL (Extract, Transform, Load)

8. By Deployment

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 8.1.2. Market Attractiveness Index, By Deployment
  • 8.2. On-Premise*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Cloud-Based

9. By Application

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.1.2. Market Attractiveness Index, By Application
  • 9.2. Clinical Analytics*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Financial Analytics
  • 9.4. Operational Analytics

10. By End User

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 10.1.2. Market Attractiveness Index, By End User
  • 10.2. Hospitals and Clinics*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Healthcare Providers
  • 10.4. Payers (Insurance Companies)
  • 10.5. Pharmaceutical and Biotechnology Companies

11. By Region

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 11.1.2. Market Attractiveness Index, By Region
  • 11.2. North America
    • 11.2.1. Introduction
    • 11.2.2. Key Region-Specific Dynamics
    • 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 11.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.2.8.1. U.S.
      • 11.2.8.2. Canada
      • 11.2.8.3. Mexico
  • 11.3. Europe
    • 11.3.1. Introduction
    • 11.3.2. Key Region-Specific Dynamics
    • 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 11.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.3.8.1. Germany
      • 11.3.8.2. U.K.
      • 11.3.8.3. France
      • 11.3.8.4. Spain
      • 11.3.8.5. Italy
      • 11.3.8.6. Rest of Europe
  • 11.4. South America
    • 11.4.1. Introduction
    • 11.4.2. Key Region-Specific Dynamics
    • 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 11.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.8.1. Brazil
      • 11.4.8.2. Argentina
      • 11.4.8.3. Rest of South America
  • 11.5. Asia-Pacific
    • 11.5.1. Introduction
    • 11.5.2. Key Region-Specific Dynamics
    • 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 11.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.8.1. China
      • 11.5.8.2. India
      • 11.5.8.3. Japan
      • 11.5.8.4. South Korea
      • 11.5.8.5. Rest of Asia-Pacific
  • 11.6. Middle East and Africa
    • 11.6.1. Introduction
    • 11.6.2. Key Region-Specific Dynamics
    • 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User

12. Competitive Landscape

  • 12.1. Competitive Scenario
  • 12.2. Market Positioning/Share Analysis
  • 12.3. Mergers and Acquisitions Analysis

13. Company Profiles

Key Market Players

  • 13.1. IBM Corporation*
    • 13.1.1. Company Overview
    • 13.1.2. Product Portfolio
      • 13.1.2.1. Product Description
      • 13.1.2.2. Product Key Performance Indicators (KPIs)
      • 13.1.2.3. Historic and Forecasted Product Sales
      • 13.1.2.4. Product Sales Volume
    • 13.1.3. Financial Overview
      • 13.1.3.1. Company Revenue's
      • 13.1.3.2. Geographical Revenue Shares
      • 13.1.3.3. Revenue Forecasts
    • 13.1.4. Key Developments
      • 13.1.4.1. Mergers & Acquisitions
      • 13.1.4.2. Key Product Development Activities
      • 13.1.4.3. Regulatory Approvals etc.
    • 13.1.5. SWOT Analysis
  • 13.2. Microsoft Corporation
  • 13.3. Oracle Corporation
  • 13.4. SAS Institute Inc
  • 13.5. Tableau Software (Salesforce)
  • 13.6. SAP SE
  • 13.7. Qlik Technologies, Inc
  • 13.8. Infor, Inc
  • 13.9. MicroStrategy Incorporated
  • 13.10. Sisense Inc
  • Similar data will be provided for each market player.

Emerging Market Players

  • 13.11. Domo, Inc*
    • 13.11.1. Pipeline Products Description
    • 13.11.2. Product Key Performance Indicators (KPIs)
    • 13.11.3. Key Activities
    • 13.11.4. Market Entry Timelines
    • 13.11.5. Product Penetration Rate
    • 13.11.6. Sales Estimation and Projections
  • 13.12. Yellowfin BI
  • 13.13. Datapine GmbH
  • Similar data will be provided for each market player.

LIST NOT EXHAUSTIVE

14. Appendix

  • 14.1. About Us and Services
  • 14.2. Contact Us