カテゴリー： Market Monitor Global, 世界, 医療/バイオ

AIによる臨床試験管理のグローバル市場展望 2023年-2029年：臨床試験計画＆設計、患者募集＆登録、データ管理＆分析、モニタリング＆監督、安全性＆ファーマコビジランス

◆英語タイトル：AI-powered Clinical Trial Management Market, Global Outlook and Forecast 2023-2029

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◆調査対象地域：グローバル、北米、アメリカ、ヨーロッパ、アジア、日本、中国、東南アジア、インド、南米、中東・アフリカなど
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❖ レポートの概要 ❖

当調査レポートは次の情報を含め、世界のAIによる臨床試験管理市場規模と予測を収録しています。・世界のAIによる臨床試験管理市場：売上、2018年-2023年、2024年-2029年
・世界のAIによる臨床試験管理市場：販売量、2018年-2023年、2024年-2029年
・世界のトップ5企業、2022年

世界のAIによる臨床試験管理市場は2022年に000Mドルと評価され、予測期間中に000％のCAGRで2029年までに000Mドルに達すると予測されています。米国市場は2022年に000Mドルと推定されており、中国は2029年までに000Mドルに達すると予測されています。「臨床試験計画＆設計」セグメントは今後6年間、000%のCAGRで2029年までに000Mドルに成長すると予測されています。

AIによる臨床試験管理のグローバル主要企業は、Medidata Solutions、 Oracle Corporation、 Ibm Corporation、 Veeva Systems、 Clinerion、 Saama Technologies、 Bioclinica、 Arisglobal、 Aicure、 Medableなどです。2022年にトップ5企業がグローバル売上シェアの約000%を占めています。

MARKET MONITOR GLOBAL（MMG）は、AIによる臨床試験管理のメーカー、サプライヤー、流通業者、および業界の専門家を調査しました。これには、販売量、売上、需要、価格変動、製品タイプ、最近の動向と計画、産業トレンド、成長要因、課題、阻害要因、潜在的なリスクなどが含まれます。

【セグメント別市場分析】

世界のAIによる臨床試験管理市場：タイプ別、2018年-2023年、2024年-2029年
世界のAIによる臨床試験管理市場：タイプ別市場シェア、2022年
・臨床試験計画＆設計、患者募集＆登録、データ管理＆分析、モニタリング＆監督、安全性＆ファーマコビジランス

世界のAIによる臨床試験管理市場：用途別、2018年-2023年、2024年-2029年
世界のAIによる臨床試験管理市場：用途別市場シェア、2022年
・製薬会社、学術研究機関、バイオテクノロジー企業、医療機器メーカー、その他

世界のAIによる臨床試験管理市場：地域・国別、2018年-2023年、2024年-2029年
世界のAIによる臨床試験管理市場：地域別市場シェア、2022年
・北米：アメリカ、カナダ、メキシコ
・ヨーロッパ：ドイツ、フランス、イギリス、イタリア、ロシア
・アジア：中国、日本、韓国、東南アジア、インド
・南米：ブラジル、アルゼンチン
・中東・アフリカ：トルコ、イスラエル、サウジアラビア、UAE

【競合分析】

また、当レポートは主要な市場参加者の分析を提供します。
・主要企業におけるAIによる臨床試験管理のグローバル売上、2018年-2023年
・主要企業におけるAIによる臨床試験管理のグローバル売上シェア、2022年
・主要企業におけるAIによる臨床試験管理のグローバル販売量、2018年-2023年
・主要企業におけるAIによる臨床試験管理のグローバル販売量シェア、2022年

さらに、当レポートは主要企業のプロファイルを提示します。
Medidata Solutions、 Oracle Corporation、 Ibm Corporation、 Veeva Systems、 Clinerion、 Saama Technologies、 Bioclinica、 Arisglobal、 Aicure、 Medable

*************************************************************

・調査・分析レポートの概要
AIによる臨床試験管理市場の定義
市場セグメント
世界のAIによる臨床試験管理市場概要
当レポートの特徴・ベネフィット
調査手法と情報源

・世界のAIによる臨床試験管理市場規模
世界のAIによる臨床試験管理市場規模：2022年 VS 2029年
世界のAIによる臨床試験管理市場規模と予測 2018年-2029年

・競争状況
グローバルトップ企業
売上ベースでのグローバルトップ企業
企業別グローバルでのAIによる臨床試験管理の売上
グローバルトップ3およびトップ5企業、2022年売上ベース
グローバル企業のAIによる臨床試験管理製品タイプ
グローバルにおけるティア1、ティア2、ティア3企業

・タイプ別市場分析
タイプ区分：臨床試験計画＆設計、患者募集＆登録、データ管理＆分析、モニタリング＆監督、安全性＆ファーマコビジランス
AIによる臨床試験管理のタイプ別グローバル売上・予測

・用途別市場分析
用途区分：製薬会社、学術研究機関、バイオテクノロジー企業、医療機器メーカー、その他
AIによる臨床試験管理の用途別グローバル売上・予測

・地域別市場分析
地域別AIによる臨床試験管理市場規模 2022年と2029年
地域別AIによる臨床試験管理売上・予測
北米市場：アメリカ、カナダ、メキシコ
ヨーロッパ市場：ドイツ、フランス、イギリス、イタリア、ロシア
アジア市場：中国、日本、韓国、東南アジア、インド
南米市場：ブラジル、アルゼンチン
中東・アフリカ市場：トルコ、イスラエル、サウジアラビア、UAE

・主要企業のプロファイル（企業概要、事業概要、主要製品、売上、ニュースなど）
Medidata Solutions、 Oracle Corporation、 Ibm Corporation、 Veeva Systems、 Clinerion、 Saama Technologies、 Bioclinica、 Arisglobal、 Aicure、 Medable
...

This research report provides a comprehensive analysis of the AI-powered Clinical Trial Management market, focusing on the current trends, market dynamics, and future prospects. The report explores the global AI-powered Clinical Trial Management market, including major regions such as North America, Europe, Asia-Pacific, and emerging markets. It also examines key factors driving the growth of AI-powered Clinical Trial Management, challenges faced by the industry, and potential opportunities for market players.
The global AI-powered Clinical Trial Management market has witnessed rapid growth in recent years, driven by increasing environmental concerns, government incentives, and advancements in technology. The AI-powered Clinical Trial Management market presents opportunities for various stakeholders, including Pharmaceutical Companies, Academic and Research Institutions. Collaboration between the private sector and governments can accelerate the development of supportive policies, research and development efforts, and investment in AI-powered Clinical Trial Management market. Additionally, the growing consumer demand present avenues for market expansion.
The global AI-powered Clinical Trial Management market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Key Features:
The research report on the AI-powered Clinical Trial Management market includes several key features to provide comprehensive insights and facilitate decision-making for stakeholders.
Executive Summary: The report provides overview of the key findings, market trends, and major insights of the AI-powered Clinical Trial Management market.
Market Overview: The report provides a comprehensive overview of the AI-powered Clinical Trial Management market, including its definition, historical development, and current market size. It covers market segmentation by Type (e.g., Clinical Trial Planning and Design, Patient Recruitment and Enrollment), region, and application, highlighting the key drivers, challenges, and opportunities within each segment.
Market Dynamics: The report analyses the market dynamics driving the growth and development of the AI-powered Clinical Trial Management market. The report includes an assessment of government policies and regulations, technological advancements, consumer trends and preferences, infrastructure development, and industry collaborations. This analysis helps stakeholders understand the factors influencing the AI-powered Clinical Trial Management market’s trajectory.
Competitive Landscape: The report provides an in-depth analysis of the competitive landscape within the AI-powered Clinical Trial Management market. It includes profiles of major market players, their market share, strategies, product portfolios, and recent developments.
Market Segmentation and Forecast: The report segment the AI-powered Clinical Trial Management market based on various parameters, such as by Type, region, and by Application. It provides market size and growth forecasts for each segment, supported by quantitative data and analysis. This helps stakeholders identify growth opportunities and make informed investment decisions.
Technological Trends: The report should highlight the key technological trends shaping the AI-powered Clinical Trial Management market, such as advancements in Type One technology and emerging substitutes. It analyses the impact of these trends on market growth, adoption rates, and consumer preferences.
Market Challenges and Opportunities: The report identify and analyses the major challenges faced by the AI-powered Clinical Trial Management market, such as technical bottleneck, cost limitations, and high entry barrier. It also highlights the opportunities for market growth, such as government incentives, emerging markets, and collaborations between stakeholders.
Regulatory and Policy Analysis: The report should assess the regulatory and policy landscape for AI-powered Clinical Trial Management, including government incentives, emission standards, and infrastructure development plans. It should analyse the impact of these policies on market growth and provide insights into future regulatory developments.
Recommendations and Conclusion: The report conclude with actionable recommendations for stakeholders, such as Application One Consumer, policymakers, investors, and infrastructure providers. These recommendations should be based on the research findings and address key challenges and opportunities within the AI-powered Clinical Trial Management market.
Supporting Data and Appendices: The report include supporting data, charts, and graphs to substantiate the analysis and findings. It also includes appendices with additional detailed information, such as data sources, survey questionnaires, and detailed market forecasts.
Market Segmentation
AI-powered Clinical Trial Management market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Clinical Trial Planning and Design
Patient Recruitment and Enrollment
Data Management and Analysis
Monitoring and Oversight
Safety and Pharmacovigilance
Market segment by Application
Pharmaceutical Companies
Academic and Research Institutions
Biotechnology Companies
Medical Device Manufacturers
Others
Global AI-powered Clinical Trial Management Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Major players covered
Medidata Solutions
Oracle Corporation
Ibm Corporation
Veeva Systems
Clinerion
Saama Technologies
Bioclinica
Arisglobal
Aicure
Medable
Outline of Major Chapters:
Chapter 1: Introduces the definition of AI-powered Clinical Trial Management, market overview.
Chapter 2: Global AI-powered Clinical Trial Management market size in revenue.
Chapter 3: Detailed analysis of AI-powered Clinical Trial Management company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of AI-powered Clinical Trial Management in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.

❖ レポートの目次 ❖

1 Introduction to Research & Analysis Reports
1.1 AI-powered Clinical Trial Management Market Definition
1.2 Market Segments
1.2.1 Market by Type
1.2.2 Market by Application
1.3 Global AI-powered Clinical Trial Management Market Overview
1.4 Features & Benefits of This Report
1.5 Methodology & Sources of Information
1.5.1 Research Methodology
1.5.2 Research Process
1.5.3 Base Year
1.5.4 Report Assumptions & Caveats
2 Global AI-powered Clinical Trial Management Overall Market Size
2.1 Global AI-powered Clinical Trial Management Market Size: 2022 VS 2029
2.2 Global AI-powered Clinical Trial Management Market Size, Prospects & Forecasts: 2018-2029
2.3 Key Market Trends, Opportunity, Drivers and Restraints
2.3.1 Market Opportunities & Trends
2.3.2 Market Drivers
2.3.3 Market Restraints
3 Company Landscape
3.1 Top AI-powered Clinical Trial Management Players in Global Market
3.2 Top Global AI-powered Clinical Trial Management Companies Ranked by Revenue
3.3 Global AI-powered Clinical Trial Management Revenue by Companies
3.4 Top 3 and Top 5 AI-powered Clinical Trial Management Companies in Global Market, by Revenue in 2022
3.5 Global Companies AI-powered Clinical Trial Management Product Type
3.6 Tier 1, Tier 2 and Tier 3 AI-powered Clinical Trial Management Players in Global Market
3.6.1 List of Global Tier 1 AI-powered Clinical Trial Management Companies
3.6.2 List of Global Tier 2 and Tier 3 AI-powered Clinical Trial Management Companies
4 Market Sights by Product
4.1 Overview
4.1.1 By Type – Global AI-powered Clinical Trial Management Market Size Markets, 2022 & 2029
4.1.2 Clinical Trial Planning and Design
4.1.3 Patient Recruitment and Enrollment
4.1.4 Data Management and Analysis
4.1.5 Monitoring and Oversight
4.1.6 Safety and Pharmacovigilance
4.2 By Type – Global AI-powered Clinical Trial Management Revenue & Forecasts
4.2.1 By Type – Global AI-powered Clinical Trial Management Revenue, 2018-2023
4.2.2 By Type – Global AI-powered Clinical Trial Management Revenue, 2024-2029
4.2.3 By Type – Global AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
5 Sights by Application
5.1 Overview
5.1.1 By Application – Global AI-powered Clinical Trial Management Market Size, 2022 & 2029
5.1.2 Pharmaceutical Companies
5.1.3 Academic and Research Institutions
5.1.4 Biotechnology Companies
5.1.5 Medical Device Manufacturers
5.1.6 Others
5.2 By Application – Global AI-powered Clinical Trial Management Revenue & Forecasts
5.2.1 By Application – Global AI-powered Clinical Trial Management Revenue, 2018-2023
5.2.2 By Application – Global AI-powered Clinical Trial Management Revenue, 2024-2029
5.2.3 By Application – Global AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
6 Sights by Region
6.1 By Region – Global AI-powered Clinical Trial Management Market Size, 2022 & 2029
6.2 By Region – Global AI-powered Clinical Trial Management Revenue & Forecasts
6.2.1 By Region – Global AI-powered Clinical Trial Management Revenue, 2018-2023
6.2.2 By Region – Global AI-powered Clinical Trial Management Revenue, 2024-2029
6.2.3 By Region – Global AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
6.3 North America
6.3.1 By Country – North America AI-powered Clinical Trial Management Revenue, 2018-2029
6.3.2 US AI-powered Clinical Trial Management Market Size, 2018-2029
6.3.3 Canada AI-powered Clinical Trial Management Market Size, 2018-2029
6.3.4 Mexico AI-powered Clinical Trial Management Market Size, 2018-2029
6.4 Europe
6.4.1 By Country – Europe AI-powered Clinical Trial Management Revenue, 2018-2029
6.4.2 Germany AI-powered Clinical Trial Management Market Size, 2018-2029
6.4.3 France AI-powered Clinical Trial Management Market Size, 2018-2029
6.4.4 U.K. AI-powered Clinical Trial Management Market Size, 2018-2029
6.4.5 Italy AI-powered Clinical Trial Management Market Size, 2018-2029
6.4.6 Russia AI-powered Clinical Trial Management Market Size, 2018-2029
6.4.7 Nordic Countries AI-powered Clinical Trial Management Market Size, 2018-2029
6.4.8 Benelux AI-powered Clinical Trial Management Market Size, 2018-2029
6.5 Asia
6.5.1 By Region – Asia AI-powered Clinical Trial Management Revenue, 2018-2029
6.5.2 China AI-powered Clinical Trial Management Market Size, 2018-2029
6.5.3 Japan AI-powered Clinical Trial Management Market Size, 2018-2029
6.5.4 South Korea AI-powered Clinical Trial Management Market Size, 2018-2029
6.5.5 Southeast Asia AI-powered Clinical Trial Management Market Size, 2018-2029
6.5.6 India AI-powered Clinical Trial Management Market Size, 2018-2029
6.6 South America
6.6.1 By Country – South America AI-powered Clinical Trial Management Revenue, 2018-2029
6.6.2 Brazil AI-powered Clinical Trial Management Market Size, 2018-2029
6.6.3 Argentina AI-powered Clinical Trial Management Market Size, 2018-2029
6.7 Middle East & Africa
6.7.1 By Country – Middle East & Africa AI-powered Clinical Trial Management Revenue, 2018-2029
6.7.2 Turkey AI-powered Clinical Trial Management Market Size, 2018-2029
6.7.3 Israel AI-powered Clinical Trial Management Market Size, 2018-2029
6.7.4 Saudi Arabia AI-powered Clinical Trial Management Market Size, 2018-2029
6.7.5 UAE AI-powered Clinical Trial Management Market Size, 2018-2029
7 AI-powered Clinical Trial Management Companies Profiles
7.1 Medidata Solutions
7.1.1 Medidata Solutions Company Summary
7.1.2 Medidata Solutions Business Overview
7.1.3 Medidata Solutions AI-powered Clinical Trial Management Major Product Offerings
7.1.4 Medidata Solutions AI-powered Clinical Trial Management Revenue in Global Market (2018-2023)
7.1.5 Medidata Solutions Key News & Latest Developments
7.2 Oracle Corporation
7.2.1 Oracle Corporation Company Summary
7.2.2 Oracle Corporation Business Overview
7.2.3 Oracle Corporation AI-powered Clinical Trial Management Major Product Offerings
7.2.4 Oracle Corporation AI-powered Clinical Trial Management Revenue in Global Market (2018-2023)
7.2.5 Oracle Corporation Key News & Latest Developments
7.3 Ibm Corporation
7.3.1 Ibm Corporation Company Summary
7.3.2 Ibm Corporation Business Overview
7.3.3 Ibm Corporation AI-powered Clinical Trial Management Major Product Offerings
7.3.4 Ibm Corporation AI-powered Clinical Trial Management Revenue in Global Market (2018-2023)
7.3.5 Ibm Corporation Key News & Latest Developments
7.4 Veeva Systems
7.4.1 Veeva Systems Company Summary
7.4.2 Veeva Systems Business Overview
7.4.3 Veeva Systems AI-powered Clinical Trial Management Major Product Offerings
7.4.4 Veeva Systems AI-powered Clinical Trial Management Revenue in Global Market (2018-2023)
7.4.5 Veeva Systems Key News & Latest Developments
7.5 Clinerion
7.5.1 Clinerion Company Summary
7.5.2 Clinerion Business Overview
7.5.3 Clinerion AI-powered Clinical Trial Management Major Product Offerings
7.5.4 Clinerion AI-powered Clinical Trial Management Revenue in Global Market (2018-2023)
7.5.5 Clinerion Key News & Latest Developments
7.6 Saama Technologies
7.6.1 Saama Technologies Company Summary
7.6.2 Saama Technologies Business Overview
7.6.3 Saama Technologies AI-powered Clinical Trial Management Major Product Offerings
7.6.4 Saama Technologies AI-powered Clinical Trial Management Revenue in Global Market (2018-2023)
7.6.5 Saama Technologies Key News & Latest Developments
7.7 Bioclinica
7.7.1 Bioclinica Company Summary
7.7.2 Bioclinica Business Overview
7.7.3 Bioclinica AI-powered Clinical Trial Management Major Product Offerings
7.7.4 Bioclinica AI-powered Clinical Trial Management Revenue in Global Market (2018-2023)
7.7.5 Bioclinica Key News & Latest Developments
7.8 Arisglobal
7.8.1 Arisglobal Company Summary
7.8.2 Arisglobal Business Overview
7.8.3 Arisglobal AI-powered Clinical Trial Management Major Product Offerings
7.8.4 Arisglobal AI-powered Clinical Trial Management Revenue in Global Market (2018-2023)
7.8.5 Arisglobal Key News & Latest Developments
7.9 Aicure
7.9.1 Aicure Company Summary
7.9.2 Aicure Business Overview
7.9.3 Aicure AI-powered Clinical Trial Management Major Product Offerings
7.9.4 Aicure AI-powered Clinical Trial Management Revenue in Global Market (2018-2023)
7.9.5 Aicure Key News & Latest Developments
7.10 Medable
7.10.1 Medable Company Summary
7.10.2 Medable Business Overview
7.10.3 Medable AI-powered Clinical Trial Management Major Product Offerings
7.10.4 Medable AI-powered Clinical Trial Management Revenue in Global Market (2018-2023)
7.10.5 Medable Key News & Latest Developments
8 Conclusion
9 Appendix
9.1 Note
9.2 Examples of Clients
9.3 Disclaimer

List of Tables
Table 1. AI-powered Clinical Trial Management Market Opportunities & Trends in Global Market
Table 2. AI-powered Clinical Trial Management Market Drivers in Global Market
Table 3. AI-powered Clinical Trial Management Market Restraints in Global Market
Table 4. Key Players of AI-powered Clinical Trial Management in Global Market
Table 5. Top AI-powered Clinical Trial Management Players in Global Market, Ranking by Revenue (2022)
Table 6. Global AI-powered Clinical Trial Management Revenue by Companies, (US$, Mn), 2018-2023
Table 7. Global AI-powered Clinical Trial Management Revenue Share by Companies, 2018-2023
Table 8. Global Companies AI-powered Clinical Trial Management Product Type
Table 9. List of Global Tier 1 AI-powered Clinical Trial Management Companies, Revenue (US$, Mn) in 2022 and Market Share
Table 10. List of Global Tier 2 and Tier 3 AI-powered Clinical Trial Management Companies, Revenue (US$, Mn) in 2022 and Market Share
Table 11. By Type – Global AI-powered Clinical Trial Management Revenue, (US$, Mn), 2022 & 2029
Table 12. By Type - AI-powered Clinical Trial Management Revenue in Global (US$, Mn), 2018-2023
Table 13. By Type - AI-powered Clinical Trial Management Revenue in Global (US$, Mn), 2024-2029
Table 14. By Application – Global AI-powered Clinical Trial Management Revenue, (US$, Mn), 2022 & 2029
Table 15. By Application - AI-powered Clinical Trial Management Revenue in Global (US$, Mn), 2018-2023
Table 16. By Application - AI-powered Clinical Trial Management Revenue in Global (US$, Mn), 2024-2029
Table 17. By Region – Global AI-powered Clinical Trial Management Revenue, (US$, Mn), 2022 & 2029
Table 18. By Region - Global AI-powered Clinical Trial Management Revenue (US$, Mn), 2018-2023
Table 19. By Region - Global AI-powered Clinical Trial Management Revenue (US$, Mn), 2024-2029
Table 20. By Country - North America AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2023
Table 21. By Country - North America AI-powered Clinical Trial Management Revenue, (US$, Mn), 2024-2029
Table 22. By Country - Europe AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2023
Table 23. By Country - Europe AI-powered Clinical Trial Management Revenue, (US$, Mn), 2024-2029
Table 24. By Region - Asia AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2023
Table 25. By Region - Asia AI-powered Clinical Trial Management Revenue, (US$, Mn), 2024-2029
Table 26. By Country - South America AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2023
Table 27. By Country - South America AI-powered Clinical Trial Management Revenue, (US$, Mn), 2024-2029
Table 28. By Country - Middle East & Africa AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2023
Table 29. By Country - Middle East & Africa AI-powered Clinical Trial Management Revenue, (US$, Mn), 2024-2029
Table 30. Medidata Solutions Company Summary
Table 31. Medidata Solutions AI-powered Clinical Trial Management Product Offerings
Table 32. Medidata Solutions AI-powered Clinical Trial Management Revenue (US$, Mn) & (2018-2023)
Table 33. Medidata Solutions Key News & Latest Developments
Table 34. Oracle Corporation Company Summary
Table 35. Oracle Corporation AI-powered Clinical Trial Management Product Offerings
Table 36. Oracle Corporation AI-powered Clinical Trial Management Revenue (US$, Mn) & (2018-2023)
Table 37. Oracle Corporation Key News & Latest Developments
Table 38. Ibm Corporation Company Summary
Table 39. Ibm Corporation AI-powered Clinical Trial Management Product Offerings
Table 40. Ibm Corporation AI-powered Clinical Trial Management Revenue (US$, Mn) & (2018-2023)
Table 41. Ibm Corporation Key News & Latest Developments
Table 42. Veeva Systems Company Summary
Table 43. Veeva Systems AI-powered Clinical Trial Management Product Offerings
Table 44. Veeva Systems AI-powered Clinical Trial Management Revenue (US$, Mn) & (2018-2023)
Table 45. Veeva Systems Key News & Latest Developments
Table 46. Clinerion Company Summary
Table 47. Clinerion AI-powered Clinical Trial Management Product Offerings
Table 48. Clinerion AI-powered Clinical Trial Management Revenue (US$, Mn) & (2018-2023)
Table 49. Clinerion Key News & Latest Developments
Table 50. Saama Technologies Company Summary
Table 51. Saama Technologies AI-powered Clinical Trial Management Product Offerings
Table 52. Saama Technologies AI-powered Clinical Trial Management Revenue (US$, Mn) & (2018-2023)
Table 53. Saama Technologies Key News & Latest Developments
Table 54. Bioclinica Company Summary
Table 55. Bioclinica AI-powered Clinical Trial Management Product Offerings
Table 56. Bioclinica AI-powered Clinical Trial Management Revenue (US$, Mn) & (2018-2023)
Table 57. Bioclinica Key News & Latest Developments
Table 58. Arisglobal Company Summary
Table 59. Arisglobal AI-powered Clinical Trial Management Product Offerings
Table 60. Arisglobal AI-powered Clinical Trial Management Revenue (US$, Mn) & (2018-2023)
Table 61. Arisglobal Key News & Latest Developments
Table 62. Aicure Company Summary
Table 63. Aicure AI-powered Clinical Trial Management Product Offerings
Table 64. Aicure AI-powered Clinical Trial Management Revenue (US$, Mn) & (2018-2023)
Table 65. Aicure Key News & Latest Developments
Table 66. Medable Company Summary
Table 67. Medable AI-powered Clinical Trial Management Product Offerings
Table 68. Medable AI-powered Clinical Trial Management Revenue (US$, Mn) & (2018-2023)
Table 69. Medable Key News & Latest Developments
List of Figures
Figure 1. AI-powered Clinical Trial Management Segment by Type in 2022
Figure 2. AI-powered Clinical Trial Management Segment by Application in 2022
Figure 3. Global AI-powered Clinical Trial Management Market Overview: 2022
Figure 4. Key Caveats
Figure 5. Global AI-powered Clinical Trial Management Market Size: 2022 VS 2029 (US$, Mn)
Figure 6. Global AI-powered Clinical Trial Management Revenue, 2018-2029 (US$, Mn)
Figure 7. The Top 3 and 5 Players Market Share by AI-powered Clinical Trial Management Revenue in 2022
Figure 8. By Type - Global AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
Figure 9. By Application - Global AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
Figure 10. By Type - Global AI-powered Clinical Trial Management Revenue, (US$, Mn), 2022 & 2029
Figure 11. By Type - Global AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
Figure 12. By Application - Global AI-powered Clinical Trial Management Revenue, (US$, Mn), 2022 & 2029
Figure 13. By Application - Global AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
Figure 14. By Region - Global AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
Figure 15. By Country - North America AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
Figure 16. US AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 17. Canada AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 18. Mexico AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 19. By Country - Europe AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
Figure 20. Germany AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 21. France AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 22. U.K. AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 23. Italy AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 24. Russia AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 25. Nordic Countries AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 26. Benelux AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 27. By Region - Asia AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
Figure 28. China AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 29. Japan AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 30. South Korea AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 31. Southeast Asia AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 32. India AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 33. By Country - South America AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
Figure 34. Brazil AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 35. Argentina AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 36. By Country - Middle East & Africa AI-powered Clinical Trial Management Revenue Market Share, 2018-2029
Figure 37. Turkey AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 38. Israel AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 39. Saudi Arabia AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 40. UAE AI-powered Clinical Trial Management Revenue, (US$, Mn), 2018-2029
Figure 41. Medidata Solutions AI-powered Clinical Trial Management Revenue Year Over Year Growth (US$, Mn) & (2018-2023)
Figure 42. Oracle Corporation AI-powered Clinical Trial Management Revenue Year Over Year Growth (US$, Mn) & (2018-2023)
Figure 43. Ibm Corporation AI-powered Clinical Trial Management Revenue Year Over Year Growth (US$, Mn) & (2018-2023)
Figure 44. Veeva Systems AI-powered Clinical Trial Management Revenue Year Over Year Growth (US$, Mn) & (2018-2023)
Figure 45. Clinerion AI-powered Clinical Trial Management Revenue Year Over Year Growth (US$, Mn) & (2018-2023)
Figure 46. Saama Technologies AI-powered Clinical Trial Management Revenue Year Over Year Growth (US$, Mn) & (2018-2023)
Figure 47. Bioclinica AI-powered Clinical Trial Management Revenue Year Over Year Growth (US$, Mn) & (2018-2023)
Figure 48. Arisglobal AI-powered Clinical Trial Management Revenue Year Over Year Growth (US$, Mn) & (2018-2023)
Figure 49. Aicure AI-powered Clinical Trial Management Revenue Year Over Year Growth (US$, Mn) & (2018-2023)
Figure 50. Medable AI-powered Clinical Trial Management Revenue Year Over Year Growth (US$, Mn) & (2018-2023)

※参考情報

AIによる臨床試験管理は、近年の医療分野において極めて重要な役割を果たしています。このシステムは、医薬品や治療法の安全性、有効性を評価するために必要な臨床試験を効率的かつ効果的に管理するために、人工知能（AI）技術を活用するものです。臨床試験はその複雑さから、多くのデータを扱い、様々なステークホルダーが関与するため、AI技術の導入が期待されています。

AIによる臨床試験管理の概念は、まずもって臨床試験のプロセスをデジタル化し、そこにAIを組み合わせることから始まります。これにより、トライアルデザインの最適化、患者のリクルートメントの支援、データの解析及び管理などが効率化されます。AIモデルは、大規模なデータセットを分析してパターンやトレンドを識別し、臨床試験の意思決定をサポートすることができます。

このようなAI-powered Clinical Trial Managementの特徴には、データ処理の高速化、リスクの予測、コスト削減、エビデンスに基づく意思決定の強化などがあります。まず、AIは膨大な量のデータを迅速に処理できるため、従来の方法に比べて大幅な時間の短縮が可能です。これにより、試験期間を短縮し、迅速な結果の報告ができるようになります。また、AIは過去の臨床データや実世界データを分析することで、リスク要因の予測や発見を可能にし、試験開始前に潜在的な問題を特定することができます。さらに、AIを用いることで、プロセス全体のコストを削減する効果もあります。無駄なリソースの排除やプロセスの自動化によって、経済的な負担を軽減します。

種類としては、AIによる臨床試験管理ツールは多岐にわたります。例えば、患者の選定やリクルートメントを効率化するためのAIツール、収集されたデータを解析するための機械学習モデル、臨床試験の進捗をモニタリングするためのダッシュボード、などがあります。これらのツールは、医療機関や製薬会社によってカスタマイズされ、特定のニーズに応じた機能を提供します。

用途面においても、AIによる臨床試験管理は様々なシナリオで利用されています。例えば、がん治療の新薬開発において、AIは治療法の効果を予測し、対象患者を特定することに役立ちます。また、中枢神経系の疾患や遺伝性疾患に関する研究でも、患者のデータを効果的に分析し、試験デザインを最適化するためにAIが貢献しています。このように、AIによる試験管理は、多くの医療分野において革新的なアプローチとして位置付けられています。

関連技術についても触れておく必要があります。AIによる臨床試験管理は、機械学習、自然言語処理（NLP）、データ解析技術、ビッグデータ技術などを活用しています。機械学習により、患者の特性や過去の臨床データからパターンを学習し、今後の試験への提案を行います。自然言語処理は、医療文献や電子カルテからの情報抽出に利用され、より高度なデータ解析を可能にします。また、ビッグデータ技術は、膨大な情報を統合し、臨床試験に必要なインサイトを得るための基盤となっています。

AIによる臨床試験管理が普及することで、試験の透明性も向上します。リアルタイムでデータを監視し、関与するすべてのステークホルダーが進捗を把握することができるため、試験の進行状況や結果がよりオープンに共有されるようになります。これにより、患者や医療者の信頼を得ることができ、より多くの人々が臨床試験に参加する意欲を高めることにつながります。

今後の展望として、AIによる臨床試験管理は、更なる進化を遂げると考えられます。新たなアルゴリズムの開発や、より多様なデータの取り込みにより、試験の精度と効率はますます向上するでしょう。また、規制当局もこの変化を受け入れ、AIを活用した新しい試験手法に対するガイドラインを整備していくことが求められています。これにより、AIによる臨床試験管理は、より広範囲にわたる医療分野での適用が可能となり、最終的には患者の健康や福祉の向上に寄与することが期待されます。

これらの要素を総じて、AIによる臨床試験管理は、医療研究の新たな手法として、未来に向けた臨床開発の革新を促進するツールとしての可能性を秘めています。医療の質や効率を高めるための鍵となる技術として、今後の発展が期待される領域となるでしょう。

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