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市場調查報告書
商品編碼
1574198

生命科學領域的人工智慧市場 - 2024 年至 2029 年預測

Artificial Intelligence (AI) in Life Sciences Market - Forecasts from 2024 to 2029

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 119 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

生命科學領域的人工智慧市場規模預計將從 2024 年的 14.13 億美元增加到 2029 年的 43.52 億美元,預測期內複合年成長率為 25.23%。

生命科學是一個為了因應成本上升而轉向更有效率方法的行業。在生命科學產業,人工智慧 (AI) 通常有助於從讀取資料中識別關係,或產生有關工具工作方式的機械見解。生命科學領域人工智慧市場的顯著成長歸因於該領域產生的資料量不斷增加。這些資料有助於為各種生命科學應用產生可預測且準確的見解。

此外,醫學研究投資的增加正在促進新療法的創建,這些療法依賴更快、更有效的手段,讓研究人員更容易存取重要的資料集。因此,擴大採用人工智慧服務來分析非結構化資料並得出與計劃特定要求相關的見解,從而促進了市場擴張。

推動生命科學領域人工智慧市場的因素:

  • 藥物發現支出的增加預計將加速全球生命科學領域對人工智慧的需求。

此外,藥物研發的高昂成本進一步支持了人工智慧在生命科學領域的應用。因此,生命科學人工智慧市場的公司正在實施人工智慧技術,以降低成本並提高藥物發現的成功機率。藥物發現佔與其相關成本的很大一部分。因此,需要降低藥物發現的成本和時間並提高臨床試驗的成功率,這廣泛影響了人工智慧技術在該行業的使用。

例如,2023 年 10 月,全球生物製藥公司 Insmed 與 Google Cloud 合作,透過採用生成式 AI 徹底改變生命科學領域。此次合作的重點是減少新藥發現並將其提供給患者的時間並提高效率。 InsMed 在嚴重罕見疾病方面的專業知識將被用來推進此方法。此次合作將針對生命科學產業的四個關鍵角度:藥物發現、開發、商業化和能力建構。計劃預計將在未來18個月內完成。

生命科學領域AI市場的地理前景:

  • 北美地區預計將在生命科學領域的人工智慧市場中佔據很大佔有率。

由於先進技術的早期採用以及美國主要企業的存在,北美在全球生命科學人工智慧市場中顯示出顯著成長。由於中國是輝瑞(Pfizer)和強生(Johnson & Johnson)等全球製藥公司的總部所在地,預計將成為藥物開發和藥物發現領域人工智慧解決方案傳播的主要推動力。這些公司已經建立了自己的人工智慧部門或與多家人工智慧新興企業合作,這可以幫助藥物發現和病患監測。

此外,由於人工智慧技術資金的增加以及美國和加拿大等政府支援政策的增加,區域市場可能會出現提振,以便更好地在生命科學產業中採用該技術。美國政府正在推動資料共用,醫療保健人工智慧公司在這方面具有優勢,可以用來製造個人化藥物和治療方法。

為什麼要購買這份報告?

  • 富有洞察力的分析:獲得涵蓋關鍵和新興地區的深入市場洞察,重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業部門和其他子區隔。
  • 競爭格局:了解世界主要企業採取的策略策略,並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢:探索動態因素和關鍵市場趨勢以及它們將如何影響未來市場發展。
  • 可行的建議:利用洞察力做出策略決策,以在動態環境中發現新的業務流和收益。
  • 面向廣大受眾:對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼?

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手的市場狀況、策略與市場佔有率分析
  • 包括國家在內的細分市場和地區的收益成長和預測評估
  • 公司簡介(策略、產品、財務資訊、主要動態等)

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章生命科學領域的人工智慧市場:透過提供

  • 介紹
  • 硬體
  • 軟體
  • 服務

第6章生命科學領域的人工智慧市場:依應用分類

  • 介紹
  • 藥物發現
  • 臨床試驗
  • 醫學診斷
  • 個人化醫療
  • 其他

第7章生命科學領域的人工智慧市場:按地區分類

  • 介紹
  • 北美洲
    • 按報價
    • 按用途
    • 按國家/地區
  • 南美洲
    • 按報價
    • 按用途
    • 按國家/地區
  • 歐洲
    • 按報價
    • 按用途
    • 按國家/地區
  • 中東/非洲
    • 按報價
    • 按用途
    • 按國家/地區
  • 亞太地區
    • 按報價
    • 按用途
    • 按國家/地區

第8章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第9章 公司簡介

  • IBM Corporation
  • Google
  • Microsoft Corporation
  • Concerto HealthAI
  • Atomwise, Inc.
  • CytoReason
  • Accenture
  • IKTOS
  • AiCure
  • NuMedii Inc
  • NVIDIA Corporation
  • A2A Pharma
簡介目錄
Product Code: KSI061613572

The AI in life sciences market is projected to witness a CAGR of 25.23% during the forecast period to reach a market size of US$4.352 billion by 2029, from US$1.413 billion in 2024.

Life sciences is one of the industries witnessing a push toward more productive methods in response to escalating costs. In the life sciences industry, Artificial Intelligence (AI) typically helps to identify relationships from read-across data or generate mechanistic insight about how a tool is working. The substantial growth of AI in the life sciences market is due to the increasing volume of data generated in this sector. This data assists in producing predictable and accurate insights across various applications within the life sciences field.

In addition, growing investments in medical research are driving the creation of new treatments that rely upon faster and more efficient means for researchers to reach essential data sets by making them easily accessible. This, in turn, is fueling an increasing adoption of AI services to analyze unstructured data and draw insights related to the specific requirements of the projects, propelling the market expansion.

AI IN LIFE SCIENCES MARKET DRIVERS:

  • Growing expenditure on drug discovery is predicted to accelerate the demand for AI in life science globally.

Additionally, the high costs of drug discovery are further supporting the use of AI in life sciences. Life sciences market players, therefore, deploy artificial intelligence technology to lower costs and increase the likelihood of success for drug discovery. Discovery consumes a significantly high proportion of the costs associated with it. Hence, decreasing cost and time in drug discovery & increasing clinical trial success rates are necessary and broadly influencing the usage of AI technology in this industry.

For instance, in October 2023, Insmed, a worldwide biopharmaceutical corporation, collaborated with Google Cloud to revolutionize the life sciences sector by employing generative AI. The association focuses on decreasing time and incrementing effectiveness in creating and delivering new medications to patients. Insmed's expertise in serious and rare illnesses will be utilized to progress the method. The collaboration will aim at four key life sciences industry angles: drug discovery, development, commercialization, and empowering capacities. Projects are anticipated to be completed within the following 18 months.

AI in Life Sciences Market Geographical Outlook:

  • The North American region is anticipated to hold a substantial AI in life sciences market share.

North America shows significant growth in the global AI in life sciences market due to the early adoption of advanced technologies and the presence of key players in the U.S. The country is experiencing a growing surge in demand for AI solutions within life sciences end-user verticals. The existence of global pharmaceutical companies such as Pfizer and Johnson & Johnson in the country is expected to be a key driver for the proliferation of AI solutions for R&D in drug development and discovery. These companies are creating their own AI departments or partnering with multiple AI start-ups, which could assist them in drug discovery and patient monitoring.

Additionally, the market in the regions will experience upliftment due to increased funding of AI technology and supportive government policies for better adoption of this technology in the life sciences industry, such as the USA and Canada. The US government is promoting data sharing, which gives its healthcare AI companies an edge and can be utilized for the manufacturing of personalized medication and treatment.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

The AI in Life Sciences Market is segmented and analyzed as below:

By Offering

  • Hardware
  • Software
  • Services

By Application

  • Drug Discovery
  • Clinical Trials
  • Medical Diagnosis
  • Personalized Medicine
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • Israel
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • South Korea
  • Australia
  • India
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI IN LIFE SCIENCES MARKET BY OFFERING

  • 5.1. Introduction
  • 5.2. Hardware
  • 5.3. Software
  • 5.4. Services

6. AI IN LIFE SCIENCES MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Drug Discovery
  • 6.3. Clinical Trials
  • 6.4. Medical Diagnosis
  • 6.5. Personalized Medicine
  • 6.6. Others

7. 6. AI IN LIFE SCIENCES MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Offering
    • 7.2.2. By Application
    • 7.2.3. By Country
      • 7.2.3.1. USA
      • 7.2.3.2. Canada
      • 7.2.3.3. Mexico
  • 7.3. South America
    • 7.3.1. By Offering
    • 7.3.2. By Application
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
      • 7.3.3.2. Argentina
      • 7.3.3.3. Others
  • 7.4. Europe
    • 7.4.1. By Offering
    • 7.4.2. By Application
    • 7.4.3. By Country
      • 7.4.3.1. Germany
      • 7.4.3.2. France
      • 7.4.3.3. United Kingdom
      • 7.4.3.4. Spain
      • 7.4.3.5. Others
  • 7.5. Middle East and Africa
    • 7.5.1. By Offering
    • 7.5.2. By Application
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
      • 7.5.3.2. Israel
      • 7.5.3.3. UAE
      • 7.5.3.4. Others
  • 7.6. Asia Pacific
    • 7.6.1. By Offering
    • 7.6.2. By Application
    • 7.6.3. By Country
      • 7.6.3.1. China
      • 7.6.3.2. Japan
      • 7.6.3.3. South Korea
      • 7.6.3.4. Australia
      • 7.6.3.5. India
      • 7.6.3.6. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. IBM Corporation
  • 9.2. Google
  • 9.3. Microsoft Corporation
  • 9.4. Concerto HealthAI
  • 9.5. Atomwise, Inc.
  • 9.6. CytoReason
  • 9.7. Accenture
  • 9.8. IKTOS
  • 9.9. AiCure
  • 9.10. NuMedii Inc
  • 9.11. NVIDIA Corporation
  • 9.12. A2A Pharma