市场调查报告书
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2023-2030 年生命科学分析市场中的全球人工智慧 (AI)Global Artificial Intelligence (AI) in Life Science Analytics Market 2023-2030 |
预计在预测期(2023-2030 年),全球生命科学分析市场中的人工智慧将以 9.7% 的复合年增长率成长。人工智慧在医疗保健行业的日益普及预计将推动人工智慧在生命科学分析市场的成长。它涉及机器学习(ML)和深度学习过程等技术,这些技术与人工智慧一起经常被提及。药物发现、临床试验、医学诊断、患者监测和个人化医疗等生命科学分析是广泛利用人工智慧和其他技术的关键领域。据国际商业机器公司称,2022 年 3 月,全球有 35% 的公司正在使用人工智慧,42% 的公司期待将人工智慧嵌入其流程和应用中。因此,市场参与者也专注于引入基于人工智慧的解决方案,这将进一步促进市场成长。例如,2023 年5 月,Cognizant 宣布Cognizant Neuro (R) AI 是一个新的企业级平台,旨在为企业提供一种整体方法,以加快采用生成式AI 技术,并以灵活、安全、灵活的方式利用其经济价值。可扩展且负责任的方式。
全球生命科学分析市场中的人工智慧按部署、应用程式和最终用户进行细分。根据部署,市场分为本地和云端。根据应用,市场细分为製药、生物技术、医疗器材和其他(个人化医疗和医疗诊断)。此外,根据最终用户,市场细分为製药和生物技术公司、医疗器材公司和研究中心。在最终用户中,由于数据管理、远端手术、诊断和程序协助、临床试验和基于人工智慧的医疗设备开发的增长,预计医疗设备公司细分市场将占据相当大的市场份额。更多的。
在最终用户中,研究中心细分市场预计将占据相当大的市场份额。支持市场成长的因素包括人工智慧在临床试验中的使用不断增加。临床试验是生命科学产业数据最密集的任务之一,因为它定期产生大量数据。这鼓励许多製药公司和临床研究组织投资人工智慧等技术。在目前的市场场景下,人工智慧的快速应用在製药业得到广泛应用,每年全球临床试验的近50%都在製药业。此外,全球范围内越来越多的临床试验产生了大量可在公共领域获得的数据。在预测期内,这些数字预计将增加至少 11%,为人工智慧在临床试验应用中创造新的机会,特别是在欧洲和北美。
全球生命科学分析市场中的人工智慧会根据地理位置进一步细分,包括北美(美国和加拿大)、欧洲(英国、义大利、西班牙、德国、法国和欧洲其他地区)、亚太地区(印度、中国、日本、韩国和亚洲其他地区)以及世界其他地区(中东和非洲以及拉丁美洲)。其中,由于开发基于人工智慧的生命科学解决方案以增强产品线能力的新创公司的收购不断增加,预计亚太地区将在全球市场中占据显着份额。
在所有地区中,北美地区预计在预测期内将以相当大的复合年增长率成长。对人工智慧技术的需求增加、数位素养水平的提高以及生命科学分析的改进都被认为是促进该地区成长的因素。此外,各种政府措施以及私营和公共部门之间的伙伴关係的引入也显着增加。这些策略被用来开发技术解决方案,从而推动市场成长。例如,2022 年 3 月,Databricks 为医疗保健和生命科学产业的组织推出了业界首个 Lakehouse 平台。 Databricks 的 Lakehouse for Healthcare 和 Life Sciences 为客户提供量身定制的数据和 AI 解决方案,以应对常见的行业挑战。
服务生命科学分析市场人工智慧的主要公司包括:埃森哲公司、亚马逊网路服务公司、Databricks, Inc.、Indegene、IQVIA、SAS Institute Inc.、微软公司等。市场参与者透过各种策略(包括併购、合作、合作、融资和新产品发布),为市场成长做出了巨大贡献,以保持市场竞争力。例如,2022 年 5 月,健康管理学院 (The Academy) 与微软子公司 Nuance 合作,为医疗保健产业提供创新的云端和人工智慧技术。此次合作旨在围绕市场力量以及人工智慧和机器学习的新颖发展制定一项新颖的倡议。
Title: Global Artificial Intelligence (AI) in Life Science Analytics Market Size, Share & Trends Analysis Report by Deployment (On-Premise, and Cloud), by Application (Pharmaceutical, Biotechnology, Medical Device, and Others), and by End-Users (Pharmaceutical and Biotechnology Companies, Medical Device Companies, and Research Centers),Forecast Period (2023-2030).
The global AI in life science analytics market is anticipated to grow at a CAGR of 9.7% during the forecast period (2023-2030). The increasing adoption of Al in healthcare industry is expected to propel the growth of Al in the life science analytics market. It involves technologies such as machine learning (ML) and deep learning processes, which are frequently mentioned along with AI. Life science analytics, such as drug discovery, clinical trials, medical diagnosis, patient monitoring, and personalized medicine are the key fields utilizing AI and other technologies extensively. According to International Business Machines Corp., in March 2022, 35% of global companies are using Al across the globe, and 42% of companies are looking forward to embedding Al in their processes and applications. Hence, the market players are also focusing on introducing AI-based solutions which will further bolster the market growth. For instance, in May 2023, Cognizant announced Cognizant Neuro® AI is a new, enterprise-wide platform created to give businesses a holistic method to quicken the adoption of generative AI technology and capitalize on its economic value in a flexible, secure, scalable, and responsible manner.
The global AI in life science analytics market is segmented on the deployment, application, and end-users. Based on the deployment, the market is sub-segmented into on-premise and cloud. Based on the application, the market is sub-segmented into pharmaceutical, biotechnology, medical device and other (personalized medicine and medical diagnosis). Further, on the basis of end-users, the market is sub-segmented into pharmaceutical and biotechnology companies, medical device companies, and research centers. Among the end-users, the medical device company sub-segment is anticipated to hold a considerable share of the market owing to the growth in AI-based medical device development for data management, remote surgery, diagnostic and procedural assistance, clinical trials, and more.
Among the end-users, research centers sub-segment is anticipated to hold a considerable share of the market. The factor supporting the market growth includes the rising use of AI in clinical trials. Clinical trials are one of the most data intensive tasks in life science industry, as it generates a huge amount of data regularly. This encourages many pharmaceutical companies and clinical research organizations to invest in technologies like artificial intelligence. In the current market scenario, the rapid adoption of AI is widely seen in the pharmaceutical sector, which is responsible for almost 50% of the clinical trials conducted globally every year. Furthermore, the increasing number of clinical trials worldwide produces colossal amounts of data available in the public domain. Over the forecast period, these numbers are expected to increase by at least 11%, creating new opportunities for AI in clinical trial applications, especially in Europe and North America.
The global AI in life science analytics market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). Among these, Asia-Pacific is anticipated to hold a prominent share of the market around the globe, owing to the rising acquisitions of start-ups developing AI-based life sciences solutions to enhance the capabilities of product line.
Among all regions, the North America regions is anticipated to grow at a considerable CAGR over the forecast period. Increased demand for AI technologies, rising levels of digital literacy, and improvements in life science analytics are all suggested as factors contributing to the region's growth. Additionally, there is a considerable increase in the introduction of various government initiatives and partnerships between the private & public sectors. These strategies are being adopted to develop technical solutions, which in turn will drive the market growth. For instance, in March 2022, Databricks launched the industry's first lakehouse platform for organizations across the healthcare and life sciences industries. Databricks' Lakehouse for Healthcare and Life Sciences offers customers tailored data and AI solutions to address common industry challenges.
The major companies serving the AI in life science analytics market include: Accenture plc, Amazon Web Services, Inc., Databricks, Inc., Indegene, IQVIA, SAS Institute Inc. Microsoft Corp., and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in May 2022, the Health Management Academy (The Academy) partnered forces with Nuance, a Microsoft subsidiary, to offer innovative cloud and AI technologies to the healthcare industry. The partnership aims to create a novel initiative around market forces and novel developments for AI and ML.