首頁 > 市場調查報告書 > 通訊

人工智能

市場調查報告書

商品編碼

1541326

2024-2032 年生命科學人工智慧市場報告（按產品、部署、應用和地區分類）

Artificial Intelligence in Life Sciences Market Report by Offering, Deployment, Application, and Region 2024-2032

出版日期: 2024年08月10日 | 出版商:

IMARC | 英文 137 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

IMARC Group年，全球生命科學人工智慧市場規模達24億美元。複雜疾病盛行率的上升、人工智慧在醫學影像分析中的日益採用、人工智慧與基因組學研究和分析的整合以及人工智慧與新興技術的融合是推動市場的一些主要因素。

生命科學領域的人工智慧市場分析：

主要市場驅動力：生命科學中的人工智慧主要是由基因組序列和電子健康記錄中的生物醫學資料量的增加所推動的，這需要結合強大的人工智慧工具來進行有效的管理和分析。與此一致的是，人工智慧有助於加速藥物發現和開發過程，從而顯著減少時間和成本。此外，對臨床環境中人工智慧整合的監管支援以及機器學習和計算演算法的進步進一步推動了人工智慧在生命科學市場的成長。

主要市場趨勢：生命科學領域人工智慧的主要市場趨勢包括人工智慧與雲端運算和物聯網（IoT）設備的整合，進一步增強資料可存取性和即時分析。人工智慧驅動的預測模型的開發也有一個顯著的趨勢，這些模型可以預測疾病進展和患者結果，從而改善臨床決策。與此一致，人工智慧技術公司和製藥公司之間的合作不斷增加，主要目的是利用人工智慧進行藥物開發和患者監測。另一個值得注意的趨勢是，人們越來越關注道德人工智慧和透明演算法，以確保患者資料安全和隱私合規性。此外，在機器人流程自動化（RPA）中使用人工智慧可以簡化醫療保健領域的管理任務，進一步推動人工智慧在生命科學市場的成長。

地理趨勢：從地理上看，北美領先的人工智慧和生命科學市場主要得益於其先進的技術基礎設施、對人工智慧和醫療保健的大量投資以及監管機構的大力支持。歐洲緊隨其後，由於人工智慧在醫療保健系統中的採用增加以及政府對人工智慧研究和資料保護政策的支持，其成長顯著。亞太地區正在經歷顯著的成長，這主要得益於醫療保健需求的成長、技術的進步以及中國、日本和印度等國家推動人工智慧發展的政府舉措。

競爭格局：生命科學產業人工智慧的一些主要市場參與者包括AiCure LLC、Apixio Inc.（Centene Corporation）、Atomwise Inc、Enlitic Inc.、International Business Machines Corporation、Insilico Medicine Inc.、Nuance Communications Inc.。 Inc.、Sensely Inc.、Sophia Genetics SA. 等。

挑戰與機會：人工智慧和生命科學市場面臨各種挑戰，包括高昂的實施成本、需要更熟練的人工智慧專業人員以及對資料隱私和安全日益成長的擔憂。生物資料的複雜性需要更複雜的人工智慧模型，而這可能很難開發。在機會方面，人工智慧在提高藥物開發效率、降低成本和個人化患者護理方面顯示出潛力。此外，新興市場也存在巨大的成長潛力，人工智慧可以彌補醫療保健服務的差距。

生命科學市場趨勢/促進因素中的人工智慧：

藥物發現與開發加速

傳統的藥物開發過程是一個漫長、成本高昂且往往效率低下的過程，需要十多年才能將新藥推向市場。人工智慧透過加快藥物開發的各個階段來改變這一格局。例如，2023年，高知特在舊金山成立了高階人工智慧（AI）實驗室，主要專注於人工智慧核心研究、創新和尖端人工智慧系統的開發。該實驗室由專門的人工智慧研究人員和開發人員組成，已獲得 75 項已發布和正在申請的專利，並將與研究機構、客戶和新創公司合作。機器學習演算法分析大量資料集，包括生物和化學資訊、臨床試驗資料和現有藥物資料庫，以前所未有的速度和準確性識別潛在的候選藥物。這使得研究人員能夠找出有前景的化合物，預測其功效並最佳化其特性，從而顯著減少藥物發現所需的時間和成本，從而推動人工智慧在生命科學市場的成長。

個人化醫療和保健

傳統的醫療方法通常遵循一刀切的方法，根據廣泛人群的平均水平開出藥物和療法。人工智慧利用巨量資料和機器學習的力量來分析個人的基因組成、臨床病史、生活方式因素和即時健康資料，以製定高度客製化的治療計劃。 2023 年，OM1 推出了 PhenOM，這是一個由人工智慧驅動的個人化醫療平台，利用豐富的醫療資料集和人工智慧技術。 PhenOM 使用縱向健康史資料進行校準，識別與病情相關的獨特數位表現型，從而實現大規模的個人化醫療保健見解。 OM1 專注於慢性病，開創了創新的RWE 研究，對患者的治療結果產生個人化的影響，並透過尖端的人工智慧解決方案推進醫療保健。而且不太可能導致不良副作用。此外，人工智慧驅動的預測模型可以幫助識別患有某些疾病的較高風險的患者，從而可以採取早期干預和預防措施。此外，在腫瘤學中，人工智慧有助於找出導致患者癌症的特定基因突變，使腫瘤學家能夠推薦更有可能成功的標靶治療。

疾病診斷和生物標記發現

人工智慧演算法可以分析多種醫療資料來源，包括 X 光、MRI 和 CT 掃描等醫學影像、病患電子健康記錄和基因組圖譜，且具有極高的準確性和效率。在放射學中，人工智慧驅動的影像分析可以幫助放射科醫生檢測細微的異常並標記潛在的健康問題，有助於早期診斷和治療。 2024 年，Rad AI 與 Google 合作，利用人工智慧技術增強放射學報告，旨在節省放射科醫生的時間、減少倦怠並提高患者護理品質。此次合作將簡化工作流程、自動化重複任務，並提高放射學報告的效率和準確性。此外，人工智慧有助於發現疾病生物標記，這對於在最早階段識別疾病並監測其進展至關重要。機器學習模型可以檢測分子資料中的微妙模式，幫助識別與各種疾病相關的特定生物標記物，包括癌症、阿茲海默症和心血管疾病。這些生物標記可以作為早期預警訊號，可以指導臨床醫生及時做出明智的病患照護決策。

The global artificial intelligence in life sciences market size reached US$ 2.4 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 15.4 Billion by 2032, exhibiting a growth rate (CAGR) of 22.4% during 2024-2032. 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:

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence in life sciences market report, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on offering, deployment, and application.

Breakup by Offering:

Software

Hardware

Services

Software dominates the market

The report has provided a detailed breakup and analysis of the market based on the offering. This includes software, hardware, and services. According to the report, software represented the largest segment.

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

The report has provided a detailed breakup and analysis of the market based on the deployment. This includes on-premises and cloud-based. According to the report, cloud-based represented the largest segment.

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

The report has provided a detailed breakup and analysis of the market based on the application. This includes drug discovery, medical diagnosis, biotechnology, clinical trials, precision and personalized medicine, and patient monitoring. According to the report, drug discovery represented the largest segment.

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

(Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.)

Artificial Intelligence in Life Sciences Market Recent Developments:

In 2024, Atomwise's AIMS initiative showcased the AtomNet AI Platform's success in discovering novel chemical matter for 235 out of 318 targets, demonstrating its potential as an alternative to high-throughput screening. The study, published in Nature Scientific Reports, highlighted AtomNet's ability to identify hits across various protein classes, emphasizing its broad applicability in drug discovery.

In 2024, IBM, in collaboration with the Government of Canada and Quebec, signed agreements to enhance Canada's semiconductor industry with a significant investment of around CAD 187 million, focusing on advancing chip packaging capabilities and boosting R&D at IBM Canada's Bromont plant. This initiative aims to create high-paying jobs, strengthen supply chains, and position Canada at the forefront of semiconductor innovation, as emphasized by Prime Minister Justin Trudeau and industry leaders.

Key Questions Answered in This Report

1. How big is the global artificial intelligence in life sciences market?
2. What is the expected growth rate of the global artificial intelligence in life sciences market during 2024-2032?
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?

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

簡介目錄圖表

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 US$), 2018-2023
Figure 3: Global: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Billion US$), 2024-2032
Figure 4: Global: Artificial Intelligence In Life Sciences Market: Breakup by Offering (in %), 2023
Figure 5: Global: Artificial Intelligence In Life Sciences Market: Breakup by Deployment (in %), 2023
Figure 6: Global: Artificial Intelligence In Life Sciences Market: Breakup by Application (in %), 2023
Figure 7: Global: Artificial Intelligence In Life Sciences Market: Breakup by Region (in %), 2023
Figure 8: Global: Artificial Intelligence In Life Sciences (Software) Market: Sales Value (in Million US$), 2018 & 2023
Figure 9: Global: Artificial Intelligence In Life Sciences (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 10: Global: Artificial Intelligence In Life Sciences (Hardware) Market: Sales Value (in Million US$), 2018 & 2023
Figure 11: Global: Artificial Intelligence In Life Sciences (Hardware) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 12: Global: Artificial Intelligence In Life Sciences (Services) Market: Sales Value (in Million US$), 2018 & 2023
Figure 13: Global: Artificial Intelligence In Life Sciences (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 14: Global: Artificial Intelligence In Life Sciences (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
Figure 15: Global: Artificial Intelligence In Life Sciences (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 16: Global: Artificial Intelligence In Life Sciences (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
Figure 17: Global: Artificial Intelligence In Life Sciences (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 18: Global: Artificial Intelligence In Life Sciences (Drug Discovery) Market: Sales Value (in Million US$), 2018 & 2023
Figure 19: Global: Artificial Intelligence In Life Sciences (Drug Discovery) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 20: Global: Artificial Intelligence In Life Sciences (Medical Diagnosis) Market: Sales Value (in Million US$), 2018 & 2023
Figure 21: Global: Artificial Intelligence In Life Sciences (Medical Diagnosis) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 22: Global: Artificial Intelligence In Life Sciences (Biotechnology) Market: Sales Value (in Million US$), 2018 & 2023
Figure 23: Global: Artificial Intelligence In Life Sciences (Biotechnology) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 24: Global: Artificial Intelligence In Life Sciences (Clinical Trials) Market: Sales Value (in Million US$), 2018 & 2023
Figure 25: Global: Artificial Intelligence In Life Sciences (Clinical Trials) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 26: Global: Artificial Intelligence In Life Sciences (Precision and Personalized Medicine) Market: Sales Value (in Million US$), 2018 & 2023
Figure 27: Global: Artificial Intelligence In Life Sciences (Precision and Personalized Medicine) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 28: Global: Artificial Intelligence In Life Sciences (Patient Monitoring) Market: Sales Value (in Million US$), 2018 & 2023
Figure 29: Global: Artificial Intelligence In Life Sciences (Patient Monitoring) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 30: North America: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 31: North America: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 32: United States: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 33: United States: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 34: Canada: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 35: Canada: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 36: Asia-Pacific: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 37: Asia-Pacific: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 38: China: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 39: China: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 40: Japan: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 41: Japan: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 42: India: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 43: India: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 44: South Korea: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 45: South Korea: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 46: Australia: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 47: Australia: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 48: Indonesia: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 49: Indonesia: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 50: Others: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 51: Others: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 52: Europe: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 53: Europe: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 54: Germany: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 55: Germany: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 56: France: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 57: France: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 58: United Kingdom: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 59: United Kingdom: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 60: Italy: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 61: Italy: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 62: Spain: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 63: Spain: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 64: Russia: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 65: Russia: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 66: Others: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 67: Others: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 68: Latin America: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 69: Latin America: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 70: Brazil: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 71: Brazil: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 72: Mexico: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 73: Mexico: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 74: Others: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 75: Others: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 76: Middle East and Africa: Artificial Intelligence In Life Sciences Market: Sales Value (in Million US$), 2018 & 2023
Figure 77: Middle East and Africa: Artificial Intelligence In Life Sciences Market: Breakup by Country (in %), 2023
Figure 78: Middle East and Africa: Artificial Intelligence In Life Sciences Market Forecast: Sales Value (in Million US$), 2024-2032
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, 2023 and 2032
Table 2: Global: Artificial Intelligence In Life Sciences Market Forecast: Breakup by Offering (in Million US$), 2024-2032
Table 3: Global: Artificial Intelligence In Life Sciences Market Forecast: Breakup by Deployment (in Million US$), 2024-2032
Table 4: Global: Artificial Intelligence In Life Sciences Market Forecast: Breakup by Application (in Million US$), 2024-2032
Table 5: Global: Artificial Intelligence In Life Sciences Market Forecast: Breakup by Region (in Million US$), 2024-2032
Table 6: Global: Artificial Intelligence In Life Sciences Market: Competitive Structure

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

02-2729-4219

+886-2-2729-4219