市场调查报告书
商品编码
1574198
生命科学领域的人工智慧市场 - 2024 年至 2029 年预测Artificial Intelligence (AI) in Life Sciences Market - Forecasts from 2024 to 2029 |
生命科学领域的人工智慧市场规模预计将从 2024 年的 14.13 亿美元增加到 2029 年的 43.52 亿美元,预测期内复合年增长率为 25.23%。
生命科学是一个为了因应成本上升而转向更有效率方法的行业。在生命科学产业,人工智慧 (AI) 通常有助于从读取资料中识别关係,或产生有关工具工作方式的机械见解。生命科学领域人工智慧市场的显着成长归因于该领域产生的资料量不断增加。这些资料有助于为各种生命科学应用产生可预测且准确的见解。
此外,医学研究投资的增加正在促进新疗法的创建,这些疗法依赖更快、更有效的手段,让研究人员更容易存取重要的资料集。因此,越来越多地采用人工智慧服务来分析非结构化资料并得出与计划特定要求相关的见解,从而促进了市场扩张。
此外,药物研发的高昂成本进一步支持了人工智慧在生命科学领域的应用。因此,生命科学人工智慧市场的公司正在实施人工智慧技术,以降低成本并提高药物发现的成功机率。药物发现占与其相关成本的很大一部分。因此,需要降低药物发现的成本和时间并提高临床试验的成功率,这广泛影响了人工智慧技术在该行业的使用。
例如,2023 年 10 月,全球生物製药公司 Insmed 与 Google Cloud 合作,透过采用生成式 AI 彻底改变生命科学领域。此次合作的重点是减少新药发现并将其提供给患者的时间并提高效率。 InsMed 在严重罕见疾病方面的专业知识将被用来推进此方法。此次合作将针对生命科学产业的四个关键角度:药物发现、开发、商业化和能力建构。计划预计将在未来18个月内完成。
由于先进技术的早期采用以及美国主要企业的存在,北美在全球生命科学人工智慧市场中显示出显着成长。由于中国是辉瑞(Pfizer)和强生(Johnson & Johnson)等全球製药公司的总部所在地,预计将成为药物开发和药物发现领域人工智慧解决方案传播的主要推动力。这些公司已经建立了自己的人工智慧部门或与多家人工智慧新兴企业合作,这可以帮助药物发现和病患监测。
此外,由于人工智慧技术资金的增加以及美国和加拿大等政府支援政策的增加,区域市场可能会出现提振,以便更好地在生命科学产业中采用该技术。美国政府正在推动资料共用,医疗保健人工智慧公司在这方面具有优势,可以用来製造个人化药物和治疗方法。
为什么要购买这份报告?
公司使用我们的报告的目的是什么?
产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响
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.
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.
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:-
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