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市場調查報告書
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1968527

醫藥知識管理軟體市場－全球產業規模、佔有率、趨勢、機會、預測：按部署方式、組織規模、地區和競爭格局分類，2021-2031年

Pharma Knowledge Management Software Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented, By Deployment, By Organization Size, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球醫藥知識管理軟體市場預計將從 2025 年的 56.2 億美元大幅成長至 2031 年的 159.4 億美元，複合年成長率達 18.98%。

這些平台作為專門的數位系統，旨在收集、整理和搜尋貫穿整個藥物研發生命週期的專有訊息，從藥物發現的早期階段到最終的商業化。這些系統對於保護智慧財產權和確保嚴格的監管合規至關重要，同時也促進了地理位置分散的研究團隊之間的無縫協作。推動這些系統成長要素包括：縮短新治療方法上市時間的迫切需求、對審核文件的需求，以及防止因員工流動和組織結構調整而導致的知識流失。

市場概覽
預測期 2027-2031
市場規模：2025年 56.2億美元
市場規模：2031年 159.4億美元
複合年成長率：2026-2031年 18.98%
成長最快的細分市場 雲
最大的市場 北美洲

然而，市場面臨許多挑戰，包括資料碎片化和非結構化遺留資訊的氾濫。對許多製藥公司而言，將孤立的資料孤島整合到統一的儲存庫中，在技術和文化層面都是一項艱鉅的任務。根據皮斯托亞聯盟（Pistoia Alliance）預測，到2024年，52%的生命科學專業人士將認為低品質且管理不善的資料集是採用先進研發技術的主要障礙。這項數據凸顯了製藥公司在將龐大的資訊檔案整合為可存取且可操作的數據方面所面臨的巨大挑戰。

市場促進因素

基於雲端和人工智慧的知識解決方案的整合正在從根本上改變製藥公司管理其智慧財產權的方式。隨著企業從孤立的舊有系統轉向互聯互通的數位生態系統，這些先進技術正在促進即時數據存取和決策改進。這項轉變對於管理現代研發產生的大量非結構化資料至關重要，並能幫助科學家快速發現和整合全球團隊的資訊。據皮斯托亞聯盟（Pistoia Alliance）稱，截至2025年9月，77%的生命科學實驗室計劃在未來兩年內使用人工智慧技術，這表明知識管理基礎設施正朝著自動化和智慧化的方向顯著轉變。

同時，隨著加速藥物研發和縮短上市時間的壓力日益增大，企業被迫最佳化數據管道以實現雄心勃勃的商業目標。鑑於專利生命週期有限且研發成本高昂，知識管理軟體是簡化工作流程和避免重複研究的關鍵基礎。這種推動快速創新的動力在主要產業領導者設定的高生產力目標中顯而易見。例如，羅氏在2025年宣布了一項策略目標，即到2029年推出20種突破性新療法。為了維持這種快速創新，大量資金正湧入數位化和生技領域。 2025年10月，賽諾菲將企業創業投資基金增加至14億美元，專門用於投資人工智慧和數位健康技術。

市場挑戰

資料片段化和非結構化遺留資訊的氾濫是全球醫藥知識管理軟體市場成長的主要障礙。製藥公司在整合數據方面常常面臨挑戰，這些數據分散在孤立的系統中，並在整個藥物研發過程中以不一致的格式儲存。這種缺乏連接性阻礙了統一儲存庫的創建，而統一儲存庫對於知識管理平台的成功實施至關重要。當關鍵研究數據仍然局限於不同的系統，缺乏標準化的框架時，由於需要手動採集數據，企業將面臨嚴重的營運延誤和成本增加，從而有效地抵消了這些軟體解決方案本應帶來的效率提升。

這些持續存在的技術壁壘限制了供應商的潛在市場，因為潛在客戶不願意投資那些難以與現有基礎設施整合的平台。無法有效協調各種數據來源阻礙了數位轉型進程。根據皮斯托亞聯盟（Pistoia Alliance）預測，到2024年，60%的生命科學專業人士將資料互通性和整合能力的不足視為採用以資料為中心的技術的主要障礙。這項數據凸顯了市場中一個顯著的摩擦點：建構遺留資料這項資源密集型任務迫使企業轉移軟體部署預算，轉而關注其他方面，最終導致整體市場成長放緩。

市場趨勢

將生成式人工智慧應用於自動化內容合成正在重塑知識管理系統，使其從被動的儲存設備轉變為主動的智慧引擎。製藥公司正日益利用這些功能自動產生複雜的文檔，例如臨床試驗報告、安全性總結和監管申報文件，從而減少人工工作量並最大限度地減少人為錯誤。這一趨勢透過使用大規模語言模型從海量歷史資料中提取和整合相關資訊，直接解決了監管文件編制中的瓶頸問題。根據 2024 年 7 月 PharmaTimes 的報告《GenAI 走出困境》，53% 的監管負責人認知到，他們迫切需要利用人工智慧進行資訊摘要，以簡化這些繁瑣的文件創建工作。

同時，語意搜尋和企業知識圖譜的採用正成為支援這些先進人工智慧工作流程的結構性必要條件。為了確保生成模型能夠提供準確可靠的輸出，企業正從非結構化資料湖轉向語意連結的知識圖譜，從而確保資料的上下文關聯性和可追溯性。這項轉變的驅動力在於，需要使專有資料在整個藥物研發生命週期中都符合 FAIR 原則——即可找到、可存取、可互通和可重複使用。 Pistoia Alliance 於 2024 年 9 月進行的「2024 年未來實驗室全球調查」凸顯了這種架構轉變的迫切性，其中 38% 的生命科學受訪者認為非 FAIR 數據是有效採用人工智慧技術的主要障礙。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球醫藥知識管理軟體市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 部署方式（本機部署、雲端部署、混合式部署）
    • 依組織規模（中小企業、大型企業）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美醫藥知識管理軟體市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國別分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲醫藥知識管理軟體市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國別分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區醫藥知識管理軟體市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國別分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東與非洲醫藥知識管理軟體市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東與非洲：國別分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲醫藥知識管理軟體市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國別分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進因素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 近期趨勢

第13章：全球醫藥知識管理軟體市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的議價能力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • SAP SE
  • Oracle Corporation
  • Dassault Systemes SE
  • ArisGlobal LLC
  • MasterControl Inc.
  • Accenture plc
  • IQVIA Holdings Inc.
  • Veeva Systems Inc.
  • Honeywell International Inc.
  • Sparta Systems Inc.

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 26616

The Global Pharma Knowledge Management Software Market is projected to expand significantly, rising from USD 5.62 Billion in 2025 to USD 15.94 Billion by 2031, reflecting a compound annual growth rate of 18.98%. These platforms serve as specialized digital systems designed to capture, organize, and retrieve proprietary information throughout the drug development lifecycle, spanning from initial discovery to final commercialization. Critical for safeguarding intellectual property and maintaining strict regulatory compliance, these systems also enable seamless collaboration among geographically dispersed research teams. Key growth factors include the urgent need to speed up the time-to-market for new treatments, the requirement for audit-ready documentation, and the necessity to prevent knowledge loss caused by employee turnover or organizational restructuring.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 5.62 Billion
Market Size 2031USD 15.94 Billion
CAGR 2026-203118.98%
Fastest Growing SegmentCloud
Largest MarketNorth America

However, the market faces a substantial obstacle in the form of data fragmentation and the abundance of unstructured legacy information. Merging isolated data silos into a cohesive repository presents a difficult technical and cultural challenge for many pharmaceutical enterprises. According to the Pistoia Alliance, in 2024, 52% of life science experts pinpointed low-quality and poorly curated datasets as the primary hindrance to adopting advanced R&D technologies. This statistic highlights the significant struggle pharmaceutical companies face in harmonizing their extensive information archives into accessible and actionable intelligence.

Market Driver

The increasing integration of cloud-based and AI-powered knowledge solutions is fundamentally transforming how pharmaceutical companies manage their intellectual property. As organizations move away from isolated legacy systems toward interconnected digital ecosystems, these advanced technologies are facilitating real-time data access and improved decision-making. This transition is essential for managing the vast amounts of unstructured data produced by modern R&D, enabling scientists to quickly locate and synthesize information across global teams. According to the Pistoia Alliance, in September 2025, 77% of life sciences laboratories anticipate using artificial intelligence technologies within the next two years, indicating a clear shift toward automated and intelligent knowledge management infrastructures.

Simultaneously, the pressure to accelerate drug discovery and shorten time-to-market is compelling companies to refine their data pipelines to achieve aggressive commercial goals. Given that patent lifecycles are limited and development costs are high, knowledge management software serves as a crucial backbone for streamlining workflows and preventing duplicative research. This drive for rapid innovation is illustrated by major industry leaders setting high output targets; for instance, Roche announced in 2025 a strategic goal to launch 20 new breakthrough therapies by 2029. To sustain such high-velocity innovation, significant capital is flowing into digital and biotech advancements, as seen in October 2025 when Sanofi increased its corporate venture capital fund to $1.4 billion to specifically invest in artificial intelligence and digital health technologies.

Market Challenge

The prevalence of data fragmentation and unstructured legacy information stands as a major obstacle to the growth of the global pharma knowledge management software market. Pharmaceutical companies often face difficulties in consolidating proprietary data that is dispersed across isolated silos and stored in inconsistent formats throughout the drug development process. This lack of connectivity hinders the establishment of a unified repository, which is essential for the successful implementation of knowledge management platforms. When vital research data remains locked in disparate systems without a standardized framework, organizations encounter significant operational delays and higher costs due to manual data retrieval, effectively negating the efficiency benefits these software solutions are meant to deliver.

These persistent technical barriers restrict the addressable market for vendors, as potential customers are reluctant to invest in platforms that struggle to integrate with their current infrastructure. The failure to effectively harmonize various data sources halts digital transformation efforts. According to the Pistoia Alliance, in 2024, 60% of life science professionals identified the lack of data interoperability and integration capabilities as a leading impediment to adopting data-centric technologies. This statistic underscores a critical market friction, where the resource-heavy task of structuring legacy data compels enterprises to redirect budget and attention away from software acquisition, thereby slowing overall market expansion.

Market Trends

The integration of Generative AI for Automated Content Synthesis is reshaping knowledge management systems, elevating them from passive storage units to active intelligence engines. Pharmaceutical entities are increasingly leveraging these capabilities to automate the generation of complex documents, such as clinical study reports, safety summaries, and regulatory submissions, which reduces manual workload and minimizes human error. This trend directly tackles the bottleneck of regulatory writing by using large language models to extract and synthesize pertinent findings from extensive historical data. According to PharmaTimes in July 2024, the 'GenAI out of the bottle' report noted that 53% of regulatory professionals recognized a specific need to use artificial intelligence for information summarization to streamline these labor-intensive documentation tasks.

Concurrently, the adoption of Semantic Search and Enterprise Knowledge Graphs is becoming a structural necessity to support these advanced AI workflows. To ensure generative models deliver accurate and reliable outputs, companies are moving from unstructured data lakes to semantically linked knowledge graphs that ensure data contextualization and traceability. This evolution is driven by the need to make proprietary data Findable, Accessible, Interoperable, and Reusable (FAIR) throughout the drug development lifecycle. According to the Pistoia Alliance's 'Lab of the Future 2024 Global Survey' in September 2024, 38% of life science respondents identified data that fails to adhere to FAIR principles as a major hurdle to the effective implementation of AI technologies, highlighting the urgency of this architectural shift.

Key Market Players

  • SAP SE
  • Oracle Corporation
  • Dassault Systemes SE
  • ArisGlobal LLC
  • MasterControl Inc.
  • Accenture plc
  • IQVIA Holdings Inc.
  • Veeva Systems Inc.
  • Honeywell International Inc.
  • Sparta Systems Inc.

Report Scope

In this report, the Global Pharma Knowledge Management Software Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Pharma Knowledge Management Software Market, By Deployment

  • On-Premises
  • Cloud
  • Hybrid

Pharma Knowledge Management Software Market, By Organization Size

  • Small & Medium Enterprises
  • Large Enterprises

Pharma Knowledge Management Software Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Pharma Knowledge Management Software Market.

Available Customizations:

Global Pharma Knowledge Management Software Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Pharma Knowledge Management Software Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Deployment (On-Premises, Cloud, Hybrid)
    • 5.2.2. By Organization Size (Small & Medium Enterprises, Large Enterprises)
    • 5.2.3. By Region
    • 5.2.4. By Company (2025)
  • 5.3. Market Map

6. North America Pharma Knowledge Management Software Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Deployment
    • 6.2.2. By Organization Size
    • 6.2.3. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Pharma Knowledge Management Software Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Deployment
        • 6.3.1.2.2. By Organization Size
    • 6.3.2. Canada Pharma Knowledge Management Software Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Deployment
        • 6.3.2.2.2. By Organization Size
    • 6.3.3. Mexico Pharma Knowledge Management Software Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Deployment
        • 6.3.3.2.2. By Organization Size

7. Europe Pharma Knowledge Management Software Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Deployment
    • 7.2.2. By Organization Size
    • 7.2.3. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Pharma Knowledge Management Software Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Deployment
        • 7.3.1.2.2. By Organization Size
    • 7.3.2. France Pharma Knowledge Management Software Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Deployment
        • 7.3.2.2.2. By Organization Size
    • 7.3.3. United Kingdom Pharma Knowledge Management Software Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Deployment
        • 7.3.3.2.2. By Organization Size
    • 7.3.4. Italy Pharma Knowledge Management Software Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Deployment
        • 7.3.4.2.2. By Organization Size
    • 7.3.5. Spain Pharma Knowledge Management Software Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Deployment
        • 7.3.5.2.2. By Organization Size

8. Asia Pacific Pharma Knowledge Management Software Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Deployment
    • 8.2.2. By Organization Size
    • 8.2.3. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Pharma Knowledge Management Software Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Deployment
        • 8.3.1.2.2. By Organization Size
    • 8.3.2. India Pharma Knowledge Management Software Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Deployment
        • 8.3.2.2.2. By Organization Size
    • 8.3.3. Japan Pharma Knowledge Management Software Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Deployment
        • 8.3.3.2.2. By Organization Size
    • 8.3.4. South Korea Pharma Knowledge Management Software Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Deployment
        • 8.3.4.2.2. By Organization Size
    • 8.3.5. Australia Pharma Knowledge Management Software Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Deployment
        • 8.3.5.2.2. By Organization Size

9. Middle East & Africa Pharma Knowledge Management Software Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Deployment
    • 9.2.2. By Organization Size
    • 9.2.3. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Pharma Knowledge Management Software Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Deployment
        • 9.3.1.2.2. By Organization Size
    • 9.3.2. UAE Pharma Knowledge Management Software Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Deployment
        • 9.3.2.2.2. By Organization Size
    • 9.3.3. South Africa Pharma Knowledge Management Software Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Deployment
        • 9.3.3.2.2. By Organization Size

10. South America Pharma Knowledge Management Software Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Deployment
    • 10.2.2. By Organization Size
    • 10.2.3. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Pharma Knowledge Management Software Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Deployment
        • 10.3.1.2.2. By Organization Size
    • 10.3.2. Colombia Pharma Knowledge Management Software Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Deployment
        • 10.3.2.2.2. By Organization Size
    • 10.3.3. Argentina Pharma Knowledge Management Software Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Deployment
        • 10.3.3.2.2. By Organization Size

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Pharma Knowledge Management Software Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. SAP SE
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Oracle Corporation
  • 15.3. Dassault Systemes SE
  • 15.4. ArisGlobal LLC
  • 15.5. MasterControl Inc.
  • 15.6. Accenture plc
  • 15.7. IQVIA Holdings Inc.
  • 15.8. Veeva Systems Inc.
  • 15.9. Honeywell International Inc.
  • 15.10. Sparta Systems Inc.

16. Strategic Recommendations

17. About Us & Disclaimer