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市场调查报告书
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1754032

2025 年至 2033 年生命科学领域人工智慧市场报告（按产品、部署、应用和地区）

Artificial Intelligence in Life Sciences Market Report by Offering, Deployment, Application, and Region 2025-2033
出版日期: | 出版商: IMARC | 英文 140 Pages | 商品交期: 2-3个工作天内

价格

2024年，全球生命科学领域人工智慧市场规模达29亿美元。展望未来， IMARC Group预计到2033年，该市场规模将达到167亿美元，2025-2033年期间的复合年增长率（CAGR）为21.5%。复杂疾病盛行率的上升、人工智慧在医学影像分析中的应用日益广泛、人工智慧与基因组学研究和分析的融合，以及人工智慧与新兴技术的融合，是推动市场发展的主要因素。

生命科学领域的人工智慧市场分析：

  • 主要市场驱动因素：生命科学领域人工智慧的发展主要源自于基因组序列和电子健康记录等生物医学资料量的激增，这促使我们有必要整合强大的人工智慧工具，以实现有效的管理和分析。同时，人工智慧有助于加速药物研发流程，从而大幅缩短研发时间并降低成本。此外，监管部门对临床环境中人工智慧整合的支持，以及机器学习和计算演算法的进步，进一步推动了生命科学领域人工智慧市场的成长。
  • 主要市场趋势：生命科学领域人工智慧的主要市场趋势包括人工智慧与云端运算和物联网 (IoT) 设备的集成，从而进一步增强资料可访问性和即时分析。开发人工智慧驱动的预测模型也是一个显着的趋势，这些模型可以预测病情进展和患者预后，从而改善临床决策。同时，人工智慧科技公司和製药公司之间的合作也不断增加，主要目的是利用人工智慧进行药物开发和病患监测。另一个值得注意的趋势是，人们越来越关注合乎道德的人工智慧和透明的演算法，以确保病患资料安全和隐私合规。此外，人工智慧在机器人流程自动化 (RPA) 中的应用可以简化医疗保健领域的管理任务，进一步推动生命科学市场中人工智慧的成长。
  • 地理趋势：从地理上看，北美在人工智慧和生命科学市场中处于领先地位，这主要得益于其先进的技术基础设施、对人工智慧和医疗保健的大量投资以及监管机构的大力支持。欧洲紧随其后，由于医疗保健系统中人工智慧的应用不断增加，以及政府在人工智慧研究和资料保护方面的政策支持，其增长显着。亚太地区正在经历显着成长，这主要得益于不断增长的医疗保健需求、技术进步以及中国、日本和印度等国政府推动人工智慧发展的倡议。
  • 竞争格局：生命科学产业人工智慧的一些主要市场参与者包括 AiCure LLC、Apixio Inc.（Centene Corporation）、Atomwise Inc、Enlitic Inc.、International Business Machines Corporation、Insilico Medicine Inc.、Nuance Communications Inc.、NuMedii Inc.、Sensely Inc. Sophia Genetics SA. 等。
  • 挑战与机会：人工智慧和生命科学市场面临许多挑战，包括高昂的实施成本、对更熟练的人工智慧专业人员的需求，以及对资料隐私和安全日益增长的担忧。生物资料的复杂性需要更复杂的人工智慧模型，而这些模型的开发难度可能很高。机会方面，人工智慧在提高药物开发效率、降低成本以及个人化病患照护方面展现出潜力。此外，人工智慧在新兴市场也具有巨大的成长潜力，因为这些市场可以弥补医疗服务的缺口。

生命科学领域人工智慧市场趋势/驱动因素：

加速药物研发

传统的药物开发过程漫长、昂贵，而且往往效率低下，一种新药需要十多年才能推向市场。人工智慧透过加快药物开发的各个阶段改变了这一状况。例如，2023 年，Cognizant 在旧金山成立了先进人工智慧 (AI) 实验室，主要致力于核心人工智慧研究、创新和尖端人工智慧系统的开发。该实验室由一支敬业的人工智慧研究人员和开发人员组成，已经拥有 75 项已发布和待批专利，并将与研究机构、客户和新创公司合作。机器学习演算法分析大量资料集，包括生物和化学资讯、临床试验资料和现有药物资料库，以前所未有的速度和准确度识别潜在的候选药物。这使研究人员能够精确定位有前景的化合物，预测其功效并优化其特性，大大减少药物发现所需的时间和成本，从而推动生命科学市场中的人工智慧成长。

个人化医疗和医疗保健

传统医疗通常采用一刀切的方案，根据广泛的人口平均值开出药物和疗法。人工智慧利用巨量资料和机器学习的力量，分析个人的基因组成、临床病史、生活方式因素和即时健康资料，从而製定高度客製化的治疗方案。 2023年，OM1推出了PhenOM，这是一个基于人工智慧的个人化医疗平台，利用丰富的医疗数据集和人工智慧技术。 PhenOM使用纵向健康史资料进行校准，识别与疾病相关的独特数位表型，从而实现大规模个人化医疗洞察。 OM1专注于慢性病，率先进行创新的RWE研究，为患者治疗结果提供个人化影响，并透过尖端人工智慧解决方案推动医疗保健发展。这种程度的个人化确保患者接受的治疗不仅更有效，而且不太可能引起不良副作用。此外，人工智慧驱动的预测模型可以帮助识别某些疾病风险较高的患者，从而实现早期介入和预防措施。此外，在肿瘤学领域，人工智慧有助于找出导致患者癌症的特定基因突变，使肿瘤学家能够推荐更有可能成功的标靶疗法。

疾病诊断和生物标记发现

人工智慧演算法可以以卓越的准确性和效率分析各种医疗资料来源，包括医学影像（例如X光片、核磁共振成像 (MRI) 和 CT 扫描）、患者电子健康记录和基因组图谱。在放射学领域，人工智慧影像分析可以帮助放射科医生发现细微的异常并标记潜在的健康问题，有助于早期诊断和治疗。 2024年，Rad AI 与Google合作，利用人工智慧技术增强放射学报告，旨在节省放射科医生的时间、减少倦怠并提高患者护理品质。此次合作将简化工作流程、自动化重复性任务，并提高放射学报告的效率和准确性。此外，人工智慧在疾病生物标记的发现中发挥着重要作用，这对于在早期阶段识别疾病并监测其进展至关重要。机器学习模型可以检测分子资料中的细微模式，帮助识别与各种疾病（包括癌症、阿兹海默症和心血管疾病）相关的特定生物标记。这些生物标记作为早期预警讯号，可以指导临床医生及时做出明智的病患照护决策。

目录

第一章：前言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 次要来源
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章：执行摘要

第四章：简介

  • 概述
  • 主要行业趋势

第五章：全球生命科学人工智慧市场

  • 市场概览
  • 市场表现
  • COVID-19的影响
  • 市场预测

第六章：市场区隔：依发行

  • 软体
  • 硬体
  • 服务

第七章：市场区隔：依部署

  • 本地
  • 基于云端

第 8 章：市场区隔：按应用

  • 药物研发
  • 医疗诊断
  • 生物技术
  • 临床试验
  • 精准医疗与个人化医疗
  • 病人监护

第九章：市场细分：依地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲
    • 市场区隔：依国家

第十章：SWOT分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 11 章：价值链分析

第 12 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第十三章：价格分析

第 14 章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • AiCure LLC
    • Apixio Inc. (Centene Corporation)
    • Atomwise Inc
    • Enlitic Inc.
    • International Business Machines Corporation
    • Insilico Medicine Inc.
    • Nuance Communications Inc.
    • NuMedii Inc.
    • Sensely Inc.
    • Sophia Genetics SA
Product Code: SR112025A6080

The global artificial intelligence in life sciences market size reached USD 2.9 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 16.7 Billion by 2033, exhibiting a growth rate (CAGR) of 21.5% during 2025-2033. The rising prevalence of complex diseases, the increasing adoption of AI in medical imaging analysis, the integration of AI into genomics research and analysis, and the convergence of AI with emerging technologies are some of the major factors propelling the market.

Artificial Intelligence in Life Sciences Market Analysis:

  • Major Market Drivers: Artificial intelligence in life sciences is mainly driven by the increase in the volume of biomedical data from genomic sequences and electronic health records which necessitates the incorporation of powerful AI tools for effective management and analysis. In line with this, artificial intelligence is instrumental in accelerating drug discovery and development processes thereby significantly reducing time and costs. Moreover, regulatory support for AI integration in clinical settings and advancements in machine learning and computational algorithms further propel artificial intelligence in life sciences market growth.
  • Key Market Trends: Key market trends in artificial intelligence in the life sciences sector include the integration of artificial intelligence along with cloud computing and Internet of Things (IoT) devices further enhancing data accessibility and real-time analysis. There is also a significant trend toward the development of AI-driven predictive models that forecast disease progression and patient outcomes improving clinical decision-making. In line with this, collaborative efforts between AI tech firms and pharmaceutical companies are on the rise mainly aimed at leveraging AI for drug development and patient monitoring. The growing focus on ethical AI and transparent algorithms to ensure patient data security and privacy compliance is another notable trend. Furthermore, the use of AI in robotic process automation (RPA) is a streamlining administrative task in healthcare further driving artificial intelligence in life sciences market growth.
  • Geographical Trends: Geographically, North America leads the artificial intelligence and life sciences market mainly driven by its advanced technological infrastructure, substantial investment in artificial intelligence and healthcare, and strong support from regulatory bodies. Europe follows closely, with significant growth because of the increase in the adoption of AI in healthcare systems and support from government policies regarding AI research and data protection. Asia Pacific is experiencing significant growth mainly fueled by increasing healthcare demands, technological advancements, and government initiatives to promote AI in countries like China, Japan, and India.
  • Competitive Landscape: Some of the major market players in the artificial intelligence in life sciences industry include AiCure LLC, Apixio Inc. (Centene Corporation), Atomwise Inc, Enlitic Inc., International Business Machines Corporation, Insilico Medicine Inc., Nuance Communications Inc., NuMedii Inc., Sensely Inc. Sophia Genetics SA., among many others.
  • Challenges and Opportunities: The artificial intelligence and life sciences market faces various challenges, which include high implementation costs, a need for more skilled artificial intelligence professionals, and growing concerns over data privacy and security. The complexity of biological data requires more sophisticated AI models, which can be difficult to develop. On the opportunity side, artificial intelligence shows potential in improving drug development efficiency, reducing costs, and in personalized patient care. Furthermore, there is also significant potential for growth in emerging markets where AI can address the gaps in healthcare services.

Artificial Intelligence in Life Sciences Market Trends/Drivers:

Drug Discovery and Development Acceleration

The traditional drug development process is a lengthy, costly, and often inefficient endeavour, taking over a decade to bring a new drug into the market. AI transforms this landscape by expediting various stages of drug development. For instance, in 2023, Cognizant launched an Advanced Artificial Intelligence (AI) Lab in San Francisco to mainly focus on core AI research, innovation, and development of cutting-edge AI systems. The lab, staffed by a team of dedicated AI researchers and developers, has already produced 75 issued and pending patents and will collaborate with research institutions, customers, and startups. Machine learning algorithms analyse vast datasets, including biological and chemical information, clinical trial data, and existing drug databases, to identify potential drug candidates with unprecedented speed and accuracy. This enables researchers to pinpoint promising compounds, predict their efficacy, and optimize their properties, significantly reducing the time and cost required for drug discovery, thereby propelling the artificial intelligence in life sciences market growth.

Personalized Medicine and Healthcare

Traditional medical treatments often follow a one-size-fits-all approach, with medications and therapies prescribed based on broad population averages. AI harnesses the power of big data and machine learning to analyze an individual's genetic makeup, clinical history, lifestyle factors, and real-time health data to develop highly tailored treatment plans. In 2023, OM1 introduced PhenOM, an AI-powered platform for personalized medicine, leveraging enriched healthcare datasets and AI technology. Calibrated using longitudinal health history data, PhenOM identifies unique digital phenotypes associated with conditions, enabling personalized healthcare insights at scale. With a focus on chronic conditions, OM1 pioneers innovative RWE research, delivering personalized impact on patient outcomes and advancing healthcare through cutting-edge AI solutions.This level of personalization ensures that patients receive treatments that are not only more effective but also less likely to cause adverse side effects. Also, AI-driven predictive models can help identify patients at higher risk of certain diseases, allowing for early intervention and preventive measures. Additionally, in oncology, AI assists in pinpointing the specific genetic mutations driving a patient's cancer, enabling oncologists to recommend targeted therapies that are more likely to be successful.

Disease Diagnosis and Biomarker Discovery

AI algorithms can analyze diverse medical data sources, including medical images, such as X-rays, MRIs, and CT scans, patient electronic health records, and genomic profiles, with exceptional accuracy and efficiency. In radiology, AI-powered image analysis can assist radiologists in detecting subtle abnormalities and flagging potential health issues, aiding in early diagnosis and treatment. In 2024, Rad AI has partnered with Google to enhance radiology reporting by leveraging AI technology, aiming to save radiologists time, reduce burnout, and improve patient care quality. This collaboration will streamline workflows, automate repetitive tasks, and advance the efficiency and accuracy of radiology reporting. Moreover, AI is instrumental in the discovery of disease biomarkers, which are crucial in identifying diseases at their earliest stages and monitoring their progression. Machine learning models can detect subtle patterns in molecular data, helping to identify specific biomarkers associated with various diseases, including cancer, Alzheimer's, and cardiovascular conditions. These biomarkers serve as early warning signs and can guide clinicians in making timely and informed decisions about patient care.

Artificial Intelligence in Life Sciences Industry Segmentation:

Breakup by Offering:

  • Software
  • Hardware
  • Services

Software dominates the market

Software in the context of AI encompasses a wide array of tools, platforms, and applications specifically designed to process, analyze, and interpret the immense volume of data generated in life sciences research. These software solutions utilize machine learning algorithms, natural language processing, deep learning, and other AI techniques to sift through complex biological datasets, making sense of genomics, proteomics, and clinical data. The versatility of AI software allows researchers to explore various aspects of drug discovery, disease diagnosis, and patient care with unprecedented precision and efficiency. Additionally, the scalability and adaptability of AI software make it a preferred choice for organizations operating in the life sciences domain. Researchers can customize and fine-tune AI algorithms to meet their specific research needs, whether it involves drug target identification, biomarker discovery, or patient stratification for clinical trials. This flexibility empowers scientists to adapt to evolving research objectives and swiftly respond to emerging challenges in healthcare and life sciences. Furthermore, AI software offerings are at the forefront of addressing some of the most pressing issues in the industry.

Breakup by Deployment:

  • On-premises
  • Cloud-based

Cloud-based dominate the market

Cloud-based deployment offers unparalleled scalability and flexibility, which are crucial for the resource-intensive nature of AI applications in life sciences. Researchers and organizations can tap into cloud resources as needed, scaling up or down depending on the complexity and volume of data being processed. This dynamic scalability ensures that computational resources are optimally allocated, avoiding underutilization or resource bottlenecks, which can occur with on-premises solutions. Additionally, cloud-based deployment eliminates the need for significant upfront hardware and infrastructure investments. This cost-effectiveness is particularly attractive for research institutions, pharmaceutical companies, and healthcare providers looking to leverage AI without the burden of substantial capital expenditures. Cloud services provide pay-as-you-go pricing models, allowing organizations to pay only for the computing resources they consume, thus optimizing cost management. Moreover, cloud-based deployments offer the advantage of accessibility and collaboration. Researchers and scientists can access AI tools and applications from anywhere with an internet connection, facilitating collaboration across geographic boundaries and enabling real-time data sharing and analysis.

Breakup by Application:

  • Drug Discovery
  • Medical Diagnosis
  • Biotechnology
  • Clinical Trials
  • Precision and Personalized Medicine
  • Patient Monitoring

Drug discovery dominates the market

AI-driven drug discovery is not limited to target identification alone. AI models can predict the pharmacokinetics and toxicity profiles of potential drugs, allowing researchers to assess their safety and efficacy earlier in the development pipeline. This risk mitigation not only saves time but also reduces the likelihood of costly late-stage failures, a common challenge in the pharmaceutical industry. Additionally, AI plays a pivotal role in drug repurposing, where existing drugs are explored for new therapeutic applications. By analyzing biological data, AI algorithms can identify overlooked connections between drugs and diseases, potentially unveiling novel treatment options. This approach not only accelerates the availability of treatments for various medical conditions but also leverages existing knowledge and resources more efficiently. Furthermore, the personalized medicine revolution is closely linked to AI-driven drug discovery. As AI models analyze patients' genetic profiles, clinical histories, and real-time health data, they can identify specific genetic markers and mutations that influence drug response.

Breakup by Region:

  • North America
    • United States
    • Canada
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

North America exhibits a clear dominance, accounting for the largest artificial intelligence in life sciences market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America boasts significant investments in AI research and development. Government initiatives, private sector funding, and venture capital investments have poured into AI projects and startups, fueling innovation and technological advancements. This financial backing has accelerated the growth of AI-driven solutions, from drug discovery and genomics to healthcare analytics and personalized medicine. Moreover, North America's robust regulatory framework and intellectual property protection create a conducive environment for AI development and commercialization. Several regulatory agencies have been proactive in engaging with AI developers to establish clear guidelines and approval processes for AI-based medical devices and treatments. This regulatory clarity gives businesses confidence to invest in AI projects. Furthermore, North America's healthcare infrastructure is among the most advanced globally, making it a prime testing ground for AI applications. The region's large patient population, extensive electronic health record systems, and well-established pharmaceutical and biotech industries provide ample opportunities for AI-driven healthcare solutions to demonstrate their efficacy and impact.

Competitive Landscape:

Numerous companies in this market are focused on using AI to accelerate drug discovery processes. They develop AI algorithms and platforms that analyze biological data, identify potential drug candidates, predict drug interactions, and optimize drug design, all with the goal of bringing new therapies to market faster and more efficiently. Also, AI companies in the life sciences sector work on solutions for genomic analysis. They develop tools that can decipher and interpret genetic information, identify disease markers, predict disease risk, and enable personalized medicine by tailoring treatments based on an individual's genetic profile. Moreover, companies are developing AI-driven solutions that assist radiologists and pathologists in interpreting medical images such as X-rays, MRIs, and CT scans. These tools can help detect diseases and anomalies earlier and with greater accuracy. Companies are also actively engaged in predictive analytics, utilizing AI to identify disease biomarkers, predict patient outcomes, and stratify patients for clinical trials. These AI-driven insights can inform treatment decisions and improve patient care.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

  • AiCure LLC
  • Apixio Inc. (Centene Corporation)
  • Atomwise Inc
  • Enlitic Inc.
  • International Business Machines Corporation
  • Insilico Medicine Inc.
  • Nuance Communications Inc.
  • NuMedii Inc.
  • Sensely Inc.
  • Sophia Genetics SA

Key Questions Answered in This Report

  • 1.How big is the artificial intelligence in life sciences market?
  • 2.What is the expected growth rate of the global artificial intelligence in life sciences market during 2025-2033?
  • 3.What are the key factors driving the global artificial intelligence in life sciences market?
  • 4.What has been the impact of COVID-19 on the global artificial intelligence in life sciences market?
  • 5.What is the breakup of the global artificial intelligence in life sciences market based on the offering?
  • 6.What is the breakup of the global artificial intelligence in life sciences market based on the deployment?
  • 7.What is the breakup of the global artificial intelligence in life sciences market based on the application?
  • 8.What are the key regions in the global artificial intelligence in life sciences market?
  • 9.Who are the key players/companies in the global artificial intelligence in life sciences market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Artificial Intelligence In Life Sciences Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Offering

  • 6.1 Software
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Hardware
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Services
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast

7 Market Breakup by Deployment

  • 7.1 On-premises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Cloud-based
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Application

  • 8.1 Drug Discovery
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Medical Diagnosis
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Biotechnology
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Clinical Trials
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Precision and Personalized Medicine
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Patient Monitoring
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 AiCure LLC
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
    • 14.3.2 Apixio Inc. (Centene Corporation)
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
    • 14.3.3 Atomwise Inc
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
    • 14.3.4 Enlitic Inc.
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
    • 14.3.5 International Business Machines Corporation
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
      • 14.3.5.3 Financials
      • 14.3.5.4 SWOT Analysis
    • 14.3.6 Insilico Medicine Inc.
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
    • 14.3.7 Nuance Communications Inc.
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
      • 14.3.7.3 SWOT Analysis
    • 14.3.8 NuMedii Inc.
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
    • 14.3.9 Sensely Inc.
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
    • 14.3.10 Sophia Genetics SA
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
      • 14.3.10.3 Financials

List of Figures

  • Figure 1: Global: Artificial Intelligence In Life Sciences Market: Major Drivers and Challenges
  • Figure 2: Global: Artificial Intelligence In Life Sciences Market: Sales Value (in Billion USD), 2019-2024
  • Figure 3: Global: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Billion USD), 2025-2033
  • Figure 4: Global: Artificial Intelligence In Life Sciences Market: Breakup by Offering (in %), 2024
  • Figure 5: Global: Artificial Intelligence In Life Sciences Market: Breakup by Deployment (in %), 2024
  • Figure 6: Global: Artificial Intelligence In Life Sciences Market: Breakup by Application (in %), 2024
  • Figure 7: Global: Artificial Intelligence In Life Sciences Market: Breakup by Region (in %), 2024
  • Figure 8: Global: Artificial Intelligence In Life Sciences (Software) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 9: Global: Artificial Intelligence In Life Sciences (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 10: Global: Artificial Intelligence In Life Sciences (Hardware) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 11: Global: Artificial Intelligence In Life Sciences (Hardware) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 12: Global: Artificial Intelligence In Life Sciences (Services) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 13: Global: Artificial Intelligence In Life Sciences (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 14: Global: Artificial Intelligence In Life Sciences (On-premises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 15: Global: Artificial Intelligence In Life Sciences (On-premises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 16: Global: Artificial Intelligence In Life Sciences (Cloud-based) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 17: Global: Artificial Intelligence In Life Sciences (Cloud-based) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 18: Global: Artificial Intelligence In Life Sciences (Drug Discovery) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 19: Global: Artificial Intelligence In Life Sciences (Drug Discovery) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 20: Global: Artificial Intelligence In Life Sciences (Medical Diagnosis) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 21: Global: Artificial Intelligence In Life Sciences (Medical Diagnosis) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 22: Global: Artificial Intelligence In Life Sciences (Biotechnology) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 23: Global: Artificial Intelligence In Life Sciences (Biotechnology) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 24: Global: Artificial Intelligence In Life Sciences (Clinical Trials) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 25: Global: Artificial Intelligence In Life Sciences (Clinical Trials) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 26: Global: Artificial Intelligence In Life Sciences (Precision and Personalized Medicine) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 27: Global: Artificial Intelligence In Life Sciences (Precision and Personalized Medicine) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 28: Global: Artificial Intelligence In Life Sciences (Patient Monitoring) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 29: Global: Artificial Intelligence In Life Sciences (Patient Monitoring) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 30: North America: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 31: North America: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 32: United States: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 33: United States: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 34: Canada: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 35: Canada: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 36: Asia-Pacific: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 37: Asia-Pacific: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 38: China: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 39: China: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 40: Japan: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 41: Japan: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 42: India: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 43: India: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 44: South Korea: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 45: South Korea: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 46: Australia: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 47: Australia: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 48: Indonesia: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 49: Indonesia: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 50: Others: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 51: Others: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 52: Europe: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 53: Europe: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 54: Germany: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 55: Germany: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 56: France: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 57: France: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 58: United Kingdom: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 59: United Kingdom: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 60: Italy: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 61: Italy: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 62: Spain: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 63: Spain: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 64: Russia: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 65: Russia: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 66: Others: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 67: Others: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 68: Latin America: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 69: Latin America: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 70: Brazil: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 71: Brazil: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 72: Mexico: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 73: Mexico: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 74: Others: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 75: Others: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 76: Middle East and Africa: Artificial Intelligence In Life Sciences Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 77: Middle East and Africa: Artificial Intelligence In Life Sciences Market: Breakup by Country (in %), 2024
  • Figure 78: Middle East and Africa: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 79: Global: Artificial Intelligence In Life Sciences Industry: SWOT Analysis
  • Figure 80: Global: Artificial Intelligence In Life Sciences Industry: Value Chain Analysis
  • Figure 81: Global: Artificial Intelligence In Life Sciences Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Artificial Intelligence In Life Sciences Market: Key Industry Highlights, 2024 and 2033
  • Table 2: Global: Artificial Intelligence In Life Sciences Market Forecast: Breakup by Offering (in Million USD), 2025-2033
  • Table 3: Global: Artificial Intelligence In Life Sciences Market Forecast: Breakup by Deployment (in Million USD), 2025-2033
  • Table 4: Global: Artificial Intelligence In Life Sciences Market Forecast: Breakup by Application (in Million USD), 2025-2033
  • Table 5: Global: Artificial Intelligence In Life Sciences Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 6: Global: Artificial Intelligence In Life Sciences Market: Competitive Structure

Table 7 Global: Artificial Intelligence In Life Sciences Market: Key Players