市場調查報告書
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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 |
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。
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。
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。
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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.
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