市場調查報告書
商品編碼
1518362
藥物發現中的人工智慧市場:依產品、應用、治療領域、部署和最終用戶劃分 - 到 2030 年的全球預測Artificial Intelligence in Drug Discovery Market by Offering (Software, Service), Application (Target Discovery, Lead Identification, Clinical Testing), Therapy Area (Oncology, Cardiology, Neurodegenerative), Deployment, End User-Global Forecast to 2030 |
預計到 2030 年,全球人工智慧在藥物發現市場將達到 89.5 億美元,2023 年至 2030 年複合年增長率為 27.2%。
該報告在廣泛的二級和一級研究以及對市場情景的詳細分析後,對關鍵行業驅動因素、抑制因素、課題和機會進行了分析。
這一市場成長的驅動因素包括人們越來越關注縮短藥物發現的周轉時間、藥物發現中人工智慧新興市場的擴大、慢性病患病率的上升以及藥物發現和市場開發進程的加快。夥伴關係。將人工智慧納入藥物發現的資源限制是該領域市場擴張的主要障礙。
此外,新興經濟體的成長和研發投資的增加預計將為該市場的利害關係人創造利潤豐厚的機會。然而,有限的可用數據集是影響市場成長的主要課題。
Artificial Intelligence in Drug Discovery Market Size, Share, Forecast, & Trends Analysis by Offering (Software, Service), Application (Target Discovery, Testing), Therapy Area (Oncology, Cardiology), Deployment, End User-Global Forecast to 2030
The global artificial intelligence in drug discovery market is projected to reach $8.95 billion by 2030 at a CAGR of 27.2% from 2023 to 2030.
Succeeding extensive secondary and primary research and in-depth analysis of the market scenario, the report comprises the analysis of key industry drivers, restraints, challenges, and opportunities.
The growth of this market can be attributed to the rising focus on reducing turnaround time in drug discovery, growing applications of AI in drug discovery, rising prevalence of chronic diseases, and rising collaborations & partnerships to accelerate the process of drug discovery and development. The constrained resource availability for integrating AI into drug discovery poses a significant impediment to market expansion in this sector.
Moreover, the growth of emerging economies and increased investments in research & development are anticipated to create lucrative opportunities for stakeholders in this market. However, limited availability of data sets are major challenges impacting market growth.
The report offers a competitive landscape based on an extensive assessment of the product portfolio offerings, geographic presences, and key strategic developments adopted by leading market players in the industry over four years (2020-2023). The key players operating in the global artificial intelligence in drug discovery market are Microsoft Corporation (U.S.), Exscientia plc (U.K.), NVIDIA Corporation (U.S.), Schrodinger, LLC (U.S.), Atomwise, Inc. (U.S.), BenevolentAI Limited (U.K.), Deep Genomics Incorporated (Canada), InSilico Medicine (U.S.), Cloud Pharmaceuticals, Inc. (U.S.), and Standigm Inc. (South Korea).
Among all the offerings studied in this report, in 2023, the software segment is expected to account for the largest share of the AI in drug discovery market. AI in drug discovery software is used for faster, efficient, and cost-effective drug discovery and enhanced clinical trials. Thus, the growing interest of pharmaceutical companies in developing novel therapies has increased the adoption of AI in drug discovery software.
Among all the deployment modes studied in this report, the cloud-based segment is projected to register the highest CAGR over the forecast period. The demand for cloud-based and web-based platforms is growing due to the benefits of cloud-based models in terms of security, flexibility, high-capacity data storage, quick accessibility, and cost-effectiveness.
Among all the therapeutic areas studied in this report, in 2023, the oncology segment is expected to account for the largest share of the global AI in drug discovery market. Numerous collaborations between drug discovery and AI companies are bolstering the significant market share of this segment. For instance, in November 2022, The University of Texas MD Anderson Cancer Center (U.S.) and Exscientia plc (U.K.) entered a strategic collaboration to combine the drug discovery & development expertise of MD Anderson with the patient-centric artificial intelligence (AI) capabilities of Exscientia, to boost the development of novel small-molecule oncology therapies. Additionally, in November 2021, Sanofi (France) announced an equity investment of USD 180 million in Owkin (U.S.), an AI and precision medicine company, aimed at advancing its oncology pipeline.
Among all the applications studied in this report, in 2023, the lead compound identification segment is expected to account for the largest share of the global AI in drug discovery market. Identifying lead compounds is a pivotal stage in drug discovery, where crucial properties like selectivity and potency are determined before advancing to clinical studies. Integrating AI can streamline pre-clinical development timelines, optimizing resource allocation effectively. Therefore, the utilization of AI in this phase of drug discovery is pivotal, contributing significantly to the large market share of this sector.
Among all end users studied in this report, in 2023, the pharmaceutical & biopharmaceutical companies segment is expected to account for the largest share of the global AI in drug discovery market. The high prevalence of chronic and infectious diseases, high pressure on the pharmaceutical, and biotechnology companies, to bring effective therapies early to the market, and combined benefits of AI algorithms in facilitating smooth drug discovery processes are key factors contributing to the significant market share of this segment.
An in-depth analysis of the geographical scenario of the global artificial intelligence in drug discovery market provides detailed qualitative and quantitative insights into the five major regions (North America, Europe, Asia-Pacific, Latin America, and the Middle-East & Africa), along with the coverage of major countries in each region. In 2023, North America is expected to account for the largest share of the artificial intelligence in drug discovery market. In North America, in 2023, the U.S. is expected to account for the largest share of the artificial intelligence in drug discovery market. The large share of this regional market is attributed to increasing public and private investments in drug discovery, and the high adoption of AI solutions in drug discovery. The presence of key AI companies and pharmaceutical companies such as Abbott Laboratories (U.S) and Pfizer Inc. (U.S) also support the large share of this market.
Artificial Intelligence in Drug Discovery Market Assessment-by Offering
Artificial Intelligence in Drug Discovery Market Assessment-by Deployment Mode
Artificial Intelligence in Drug Discovery Market Assessment-by Application
Artificial Intelligence in Drug Discovery Market Assessment-by Therapeutic Area
Note: Other therapeutic areas include infectious diseases and rare diseases.
Artificial Intelligence in Drug Discovery Market Assessment-by End Users
Artificial intelligence in Drug Discovery Market Assessment-by Geography