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1596344

科學資料管理市場：按部署模式、最終用戶分類 - 2025-2030 年全球預測

Scientific Data Management Market by Deployment Mode (Cloud, On-Premise), End-User (Hospitals, Laboratory, Research Institutes) - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 193 Pages | 商品交期: 最快1-2個工作天內

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2023年科學資料管理市場的市場規模預計為114.2億美元，預計到2024年將達到124億美元，複合年成長率為8.70%，到2030年將達到204.8億美元。

SDM（科學資料管理）是對科學研究和實驗中獲得的資料進行系統化處理，包括資料收集、儲存、保存、共用和分析。對 SDM 的需求源於各個科學學科中資料的指數級成長以及對儲存和存取資訊的精確性的需求。 SDM 的應用涵蓋製藥、生物技術、環境科學和學術界等行業，在這些行業中，簡化的資料操作對於促進研究和創新至關重要。 SDM工具具有廣泛的最終用途，包括研究機構、實驗室和研發企業，它們都需要高效的資料管理系統來增強資料主導的決策流程。

主要市場統計
基準年[2023] 114.2億美元
預測年份 [2024] 124億美元
預測年份 [2030] 204.8億美元
複合年成長率（%） 8.70%

市場成長的推動因素包括對先進分析工具的需求不斷成長、全球研究團隊之間有效資料共用的需求以及在資料管理中使用人工智慧 (AI) 和機器學習 (ML) 的趨勢不斷增加，其中包括：此外，高通量技術產生的科學資料量不斷增加，為 SDM 解決方案的創新提供了機會。最新的機會包括開發和實施可擴展的雲端基礎的解決方案以及滿足利基研究需求的客製化軟體，突顯了市場已做好技術整合的準備。然而，挑戰依然存在，包括資料安全問題、高昂的初始實施成本以及將新的 SDM 系統與現有IT基礎設施整合的複雜性。

創新機會包括增強互通性和資料視覺化工具，以及為科學研究開發先進的資料探勘和預測分析功能。市場的特點是需求多樣化，需要具有高度適應性、擴充性且易於使用的解決方案。鼓勵企業投資與雲端服務供應商的夥伴關係，並專注於網路安全措施以減輕資料保護問題。透過克服這些挑戰並利用技術進步，公司可以獲得顯著的市場佔有率並推動科學資料管理領域的成長。

市場動態：揭示快速發展的科學資料管理市場的關鍵市場洞察

科學資料管理市場正因供需的動態交互作用而轉變。透過了解這些不斷變化的市場動態，公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，並了解消費行為及其對製造成本的影響，並更清楚地了解對採購趨勢的影響。

  • 市場促進因素
    • 學術研究機構的需求增加
    • 實驗室自動化需求不斷成長
  • 市場限制因素
    • 實施科學資料管理系統的高成本
  • 市場機會
    • 處理大量資料的雲端運算的出現
    • 開發整合實驗室資訊學解決方案
  • 市場挑戰
    • 多尺度資料、資料多樣性以及多種資料模型和格式的存在

波特五力：駕馭科學資料管理市場的策略工具

波特的五力框架是理解市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢，解決弱點並避免潛在的挑戰，從而確保更強大的市場地位。

PESTLE分析：了解科學資料管理市場的外部影響

外部宏觀環境因素在塑造科學資料管理市場的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並為他們做出積極主動的決策做好準備。

市場佔有率分析 了解科學資料管理市場的競爭格局

科學資料管理市場的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV 定位矩陣科學資料管理市場供應商的績效評估

FPNV 定位矩陣是評估科學資料管理市場供應商的關鍵工具。此矩陣允許業務組織根據供應商的商務策略和產品滿意度評估供應商，從而做出符合其目標的明智決策。這四個象限使您能夠清晰、準確地分類供應商，並確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析和建議繪製科學資料管理市場的成功之路

科學資料管理市場的策略分析對於旨在加強其在全球市場的影響力的公司至關重要。透過審查關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機，並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：對當前市場環境的詳細審查、主要企業的廣泛資料、對其在市場中的影響力和整體影響力的評估。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監管核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點關注可望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 學術研究機構的需求增加
      • 實驗室自動化需求不斷成長
    • 抑制因素
      • 實施科學資料管理系統的高成本
    • 機會
      • 處理大量資料的雲端運算的出現
      • 開發整合實驗室資訊解決方案
    • 任務
      • 多尺度資料、資料多樣性以及多種資料模型和格式的存在
  • 市場區隔分析
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第 6 章科學資料管理市場：依部署模式

  • 雲
  • 本地

第7章科學資料管理市場：依最終使用者分類

  • 醫院
  • 實驗室
  • 調查機構

第8章美洲科學資料管理市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第9章亞太地區科學資料管理市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第10章歐洲、中東和非洲的科學資料管理市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第11章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
  • 戰略分析和建議

公司名單

  • Abbott Laboratories
  • Accelerated Technology Laboratories Inc.
  • Advanced Chemistry Development, Inc.
  • Agaram Technologies Pvt Ltd.
  • Beckman Coulter, Inc.
  • Benchling, Inc.
  • BenchSci
  • Biocomputing Platforms Ltd.
  • Dotmatics Limited
  • Florence HC
  • Flywheel Exchange, LLC
  • iVention BV
  • LabKey Corporation
  • LabLynx, Inc.
  • LabVantage Solutions Inc.
  • Merck KGaA
  • SciCord LLC
  • SciNote LLC
  • Shimadzu Corporation
  • Thermo Fisher Scientific Inc.
  • TIBCO Software Inc.
Product Code: MRR-B9334AD6C10D

The Scientific Data Management Market was valued at USD 11.42 billion in 2023, expected to reach USD 12.40 billion in 2024, and is projected to grow at a CAGR of 8.70%, to USD 20.48 billion by 2030.

Scientific data management (SDM) is the systematic handling of data derived from scientific research and experiments, encompassing data collection, storage, preservation, sharing, and analysis. The necessity for SDM lies in the exponential growth of data across various scientific domains and the need for precision in storing and accessing information. Its applications span across industries such as pharmaceuticals, biotechnology, environmental science, and academia, where streamlined data operations are essential for facilitating research and innovation. The end-use scope of SDM tools is extensive, covering research institutions, laboratories, and enterprises focused on research and development, each requiring efficient data management systems to enhance their data-driven decision-making processes.

KEY MARKET STATISTICS
Base Year [2023] USD 11.42 billion
Estimated Year [2024] USD 12.40 billion
Forecast Year [2030] USD 20.48 billion
CAGR (%) 8.70%

Market growth is fueled by factors such as the increasing demand for advanced analytical tools, the need for effective data sharing among global research teams, and the rising trend of using artificial intelligence (AI) and machine learning (ML) in data management. Moreover, the growing volume of scientific data generated by high-throughput technologies presents opportunities for innovation in SDM solutions. Latest opportunities include the development and implementation of scalable cloud-based solutions and bespoke software tailored to niche research needs, highlighting a market ready for technology integration. However, challenges remain, such as data security concerns, high initial deployment costs, and the complexity of integrating new SDM systems with existing IT infrastructure.

Opportunities for innovation involve enhancing interoperability and data visualization tools, as well as developing sophisticated data mining and predictive analytics capabilities tailored to scientific research. The market is characterized by diverse needs, pushing for adaptable solutions that are both scalable and user-friendly. Businesses are recommended to invest in partnerships with cloud service providers and focus on cybersecurity measures to alleviate data protection concerns. By navigating these challenges and capitalizing on technological advancements, companies can capture significant market share and drive growth in the scientific data management sector.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Scientific Data Management Market

The Scientific Data Management Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Increasing demand from academic research institutes
    • Rising demand for the automation of laboratories
  • Market Restraints
    • High cost associated with implementing the scientific data management system
  • Market Opportunities
    • Advent of cloud computing for handling large data volume
    • Development of integrated lab informatics solutions
  • Market Challenges
    • Presence of multi-scale data, diversity of data, and multiple data models and formats

Porter's Five Forces: A Strategic Tool for Navigating the Scientific Data Management Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Scientific Data Management Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Scientific Data Management Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Scientific Data Management Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Scientific Data Management Market

A detailed market share analysis in the Scientific Data Management Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Scientific Data Management Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Scientific Data Management Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Scientific Data Management Market

A strategic analysis of the Scientific Data Management Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Scientific Data Management Market, highlighting leading vendors and their innovative profiles. These include Abbott Laboratories, Accelerated Technology Laboratories Inc., Advanced Chemistry Development, Inc., Agaram Technologies Pvt Ltd., Beckman Coulter, Inc., Benchling, Inc., BenchSci, Biocomputing Platforms Ltd., Dotmatics Limited, Florence HC, Flywheel Exchange, LLC, iVention B.V., LabKey Corporation, LabLynx, Inc., LabVantage Solutions Inc., Merck KGaA, SciCord LLC, SciNote LLC, Shimadzu Corporation, Thermo Fisher Scientific Inc., and TIBCO Software Inc..

Market Segmentation & Coverage

This research report categorizes the Scientific Data Management Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Deployment Mode, market is studied across Cloud and On-Premise.
  • Based on End-User, market is studied across Hospitals, Laboratory, and Research Institutes.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing demand from academic research institutes
      • 5.1.1.2. Rising demand for the automation of laboratories
    • 5.1.2. Restraints
      • 5.1.2.1. High cost associated with implementing the scientific data management system
    • 5.1.3. Opportunities
      • 5.1.3.1. Advent of cloud computing for handling large data volume
      • 5.1.3.2. Development of integrated lab informatics solutions
    • 5.1.4. Challenges
      • 5.1.4.1. Presence of multi-scale data, diversity of data, and multiple data models and formats
  • 5.2. Market Segmentation Analysis
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Scientific Data Management Market, by Deployment Mode

  • 6.1. Introduction
  • 6.2. Cloud
  • 6.3. On-Premise

7. Scientific Data Management Market, by End-User

  • 7.1. Introduction
  • 7.2. Hospitals
  • 7.3. Laboratory
  • 7.4. Research Institutes

8. Americas Scientific Data Management Market

  • 8.1. Introduction
  • 8.2. Argentina
  • 8.3. Brazil
  • 8.4. Canada
  • 8.5. Mexico
  • 8.6. United States

9. Asia-Pacific Scientific Data Management Market

  • 9.1. Introduction
  • 9.2. Australia
  • 9.3. China
  • 9.4. India
  • 9.5. Indonesia
  • 9.6. Japan
  • 9.7. Malaysia
  • 9.8. Philippines
  • 9.9. Singapore
  • 9.10. South Korea
  • 9.11. Taiwan
  • 9.12. Thailand
  • 9.13. Vietnam

10. Europe, Middle East & Africa Scientific Data Management Market

  • 10.1. Introduction
  • 10.2. Denmark
  • 10.3. Egypt
  • 10.4. Finland
  • 10.5. France
  • 10.6. Germany
  • 10.7. Israel
  • 10.8. Italy
  • 10.9. Netherlands
  • 10.10. Nigeria
  • 10.11. Norway
  • 10.12. Poland
  • 10.13. Qatar
  • 10.14. Russia
  • 10.15. Saudi Arabia
  • 10.16. South Africa
  • 10.17. Spain
  • 10.18. Sweden
  • 10.19. Switzerland
  • 10.20. Turkey
  • 10.21. United Arab Emirates
  • 10.22. United Kingdom

11. Competitive Landscape

  • 11.1. Market Share Analysis, 2023
  • 11.2. FPNV Positioning Matrix, 2023
  • 11.3. Competitive Scenario Analysis
  • 11.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Abbott Laboratories
  • 2. Accelerated Technology Laboratories Inc.
  • 3. Advanced Chemistry Development, Inc.
  • 4. Agaram Technologies Pvt Ltd.
  • 5. Beckman Coulter, Inc.
  • 6. Benchling, Inc.
  • 7. BenchSci
  • 8. Biocomputing Platforms Ltd.
  • 9. Dotmatics Limited
  • 10. Florence HC
  • 11. Flywheel Exchange, LLC
  • 12. iVention B.V.
  • 13. LabKey Corporation
  • 14. LabLynx, Inc.
  • 15. LabVantage Solutions Inc.
  • 16. Merck KGaA
  • 17. SciCord LLC
  • 18. SciNote LLC
  • 19. Shimadzu Corporation
  • 20. Thermo Fisher Scientific Inc.
  • 21. TIBCO Software Inc.

LIST OF FIGURES

  • FIGURE 1. SCIENTIFIC DATA MANAGEMENT MARKET RESEARCH PROCESS
  • FIGURE 2. SCIENTIFIC DATA MANAGEMENT MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. AMERICAS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 11. AMERICAS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. UNITED STATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 13. UNITED STATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. ASIA-PACIFIC SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 15. ASIA-PACIFIC SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. EUROPE, MIDDLE EAST & AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 17. EUROPE, MIDDLE EAST & AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. SCIENTIFIC DATA MANAGEMENT MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 19. SCIENTIFIC DATA MANAGEMENT MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. SCIENTIFIC DATA MANAGEMENT MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. SCIENTIFIC DATA MANAGEMENT MARKET DYNAMICS
  • TABLE 7. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY HOSPITALS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY LABORATORY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY RESEARCH INSTITUTES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. AMERICAS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 15. AMERICAS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 16. AMERICAS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 17. ARGENTINA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 18. ARGENTINA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 19. BRAZIL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 20. BRAZIL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 21. CANADA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 22. CANADA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 23. MEXICO SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 24. MEXICO SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 25. UNITED STATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 26. UNITED STATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 27. UNITED STATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 28. ASIA-PACIFIC SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 29. ASIA-PACIFIC SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 30. ASIA-PACIFIC SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 31. AUSTRALIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 32. AUSTRALIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 33. CHINA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 34. CHINA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 35. INDIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 36. INDIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 37. INDONESIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 38. INDONESIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 39. JAPAN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 40. JAPAN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 41. MALAYSIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 42. MALAYSIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 43. PHILIPPINES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 44. PHILIPPINES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 45. SINGAPORE SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 46. SINGAPORE SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 47. SOUTH KOREA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 48. SOUTH KOREA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 49. TAIWAN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 50. TAIWAN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 51. THAILAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 52. THAILAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 53. VIETNAM SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 54. VIETNAM SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 55. EUROPE, MIDDLE EAST & AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 56. EUROPE, MIDDLE EAST & AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 57. EUROPE, MIDDLE EAST & AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 58. DENMARK SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 59. DENMARK SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 60. EGYPT SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 61. EGYPT SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 62. FINLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 63. FINLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 64. FRANCE SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 65. FRANCE SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 66. GERMANY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 67. GERMANY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 68. ISRAEL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 69. ISRAEL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 70. ITALY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 71. ITALY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 72. NETHERLANDS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 73. NETHERLANDS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 74. NIGERIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 75. NIGERIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 76. NORWAY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 77. NORWAY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 78. POLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 79. POLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 80. QATAR SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 81. QATAR SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 82. RUSSIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 83. RUSSIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 84. SAUDI ARABIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 85. SAUDI ARABIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 86. SOUTH AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 87. SOUTH AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 88. SPAIN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 89. SPAIN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 90. SWEDEN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 91. SWEDEN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 92. SWITZERLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 93. SWITZERLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 94. TURKEY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 95. TURKEY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 96. UNITED ARAB EMIRATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 97. UNITED ARAB EMIRATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 98. UNITED KINGDOM SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 99. UNITED KINGDOM SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 100. SCIENTIFIC DATA MANAGEMENT MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 101. SCIENTIFIC DATA MANAGEMENT MARKET, FPNV POSITIONING MATRIX, 2023