市场调查报告书
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1497590
製药业人工智慧市场:按产品、技术、应用和最终用户划分 - 2024-2030 年全球预测Artificial Intelligence in Pharmaceutical Market by Offering (Hardware, Services, Software), Technology (Computer Vision, Context-Aware Computing, Machine Learning), Applications, End-users - Global Forecast 2024-2030 |
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预计2023年人工智慧在製药领域的市场规模为162.1亿美元,预计2024年将达到207.6亿美元,2030年将达到973.5亿美元,复合年增长率为29.18%。
製药市场中的人工智慧(AI)是指将先进的机器学习演算法、自然语言处理和资料分析技术整合到全球製药业的药物发现、开发和製造过程中。为了改善治疗效果而对个人化医疗的需求不断增长,以及基因组学和高通量技术的进步产生了大量复杂的资料,需要先进的分析技术。然而,用于训练机器学习模型的精选资料集的可用性有限,阻碍了人工智慧在医学中的采用。然而,将巨量资料分析与人工智慧结合还可以提高我们对各种疾病分子机制的理解,并确定可能成为未来药物标靶的新型生物标记。
主要市场统计 | |
---|---|
基准年[2023] | 162.1亿美元 |
预测年份 [2024] | 207.6亿美元 |
预测年份 [2030] | 973.5亿美元 |
复合年增长率(%) | 29.18% |
区域洞察
在美国,由于先进技术的早期采用和政府的支援政策,医药人工智慧市场的环境正在改善。美国拥有多家领先的人工智慧新兴企业,它们利用人工智慧进行药物发现、分子建模、临床试验优化和个人化医疗。在美国,大型製药企业正在与人工智慧主导的新兴企业合作,并大力投资研究,以加速药物发现和开发。在欧洲地区,法国、德国、英国等国纷纷推出国家战略,推动人工智慧在医药等各产业的应用。儘管与其他地区相比进展缓慢,但中东国家正在透过人工智慧投资取得进展。非洲的潜力在于透过其不断发展的製药生态系统来应对其独特的医疗保健挑战。在亚太地区,以中国、日本和印度为首的利用人工智慧的药物方面取得了显着的进展。此外,公共和私人对製药基础设施的投资不断增加,为引入人工智慧创造了积极的环境。
FPNV定位矩阵
FPNV 定位矩阵对于评估製药市场人工智慧供应商的市场定位至关重要。此矩阵提供了对供应商的全面评估,并检验了与商务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估结果,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可对製药市场人工智慧供应商的现状进行深入而详细的评估。透过仔细比较和分析供应商的贡献,您可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析也为该领域的竞争性质提供了宝贵的见解,包括累积研究期、片段化优势和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对人工智慧在製药市场中的当前地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[189 Pages Report] The Artificial Intelligence in Pharmaceutical Market size was estimated at USD 16.21 billion in 2023 and expected to reach USD 20.76 billion in 2024, at a CAGR 29.18% to reach USD 97.35 billion by 2030.
Artificial intelligence (AI) in the pharmaceutical market refers to integrating advanced machine learning algorithms, natural language processing, and data analytics technologies into the drug discovery, development, and manufacturing processes of the global pharmaceutical industry. The growing demand for personalized medicine to improve treatment outcomes and advancements in genomics and high-throughput technologies generate large volumes of complex data requiring advanced analytical techniques. However, the limited availability of curated datasets for training machine learning models hinders the adoption of AI in pharmaceuticals. Nevertheless, integrating big data analytics with AI may also facilitate a better understanding of molecular mechanisms underlying various diseases or identify novel biomarkers that could be targets of future drugs; this further creates lucrative opportunities for the market.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 16.21 billion |
Estimated Year [2024] | USD 20.76 billion |
Forecast Year [2030] | USD 97.35 billion |
CAGR (%) | 29.18% |
Regional Insights
America provides an improved landscape for the AI in pharmaceutical market with an early adoption of advanced technologies and supportive government policies. The United States is home to several leading AI startups leveraging AI for drug discovery, molecular modeling, clinical trials optimization, and personalized medicine. In the U.S., major pharmaceutical firms are partnering with AI-driven startups and investing heavily in research to expedite drug discovery and development. In the European region, countries such as France, Germany, and the United Kingdom have introduced national strategies propelling AI applications across industries, including pharmaceuticals. Although slower in comparison to other regions, Middle Eastern countries are advancing through investment in AI. Africa's potential lies in addressing unique healthcare challenges through its developing pharma ecosystem. The Asia Pacific region showcases significant growth in AI-driven pharmaceutical advancements with China, Japan, and India at the forefront. In addition, increasing public-private investments in pharmaceutical manufacturing infrastructure provides a positive landscape for AI deployments.
Market Insights
The market dynamics represent an ever-changing landscape of the Artificial Intelligence in Pharmaceutical Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Artificial Intelligence in Pharmaceutical Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Artificial Intelligence in Pharmaceutical Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Merck Enters Two Strategic Collaborations to Strengthen AI-driven Drug Discovery
Merck entered into two new strategic collaborations in the field of drug discovery. These collaborations, with BenevolentAI and Exscientia, aim to utilize Artificial Intelligence (AI)-driven design and discovery capabilities to generate innovative drug candidates for clinical development in areas including oncology, neurology, and immunology. [Published On: 2023-09-20]
Launch of Insilico's Phase II Program Highlights Generative AI Momentum
Insilico Medicine has recently initiated Phase II clinical trials for a groundbreaking drug, INS018_055, developed using generative artificial intelligence in pharmaceuticals. This drug has received Orphan Drug certificate from the FDA and aims to treat idiopathic pulmonary fibrosis (IPF). The utilization of artificial intelligence has significantly accelerated the drug development process for Insilico. Insilico has formed partnerships with several biopharma companies for AI-based drug development projects. [Published On: 2023-08-14]
Google Cloud Launches AI-powered Solutions to Safely Accelerate Drug Discovery and Precision Medicine
Google Cloud introduced two AI-powered solutions for the life sciences industry. These solutions aim to enhance drug discovery and precision medicine for biotechnology companies, pharmaceutical firms, and public sector organizations. The first solution called the Target and Lead Identification Suite, helps researchers gain a better understanding of amino acids' function and predict protein structure. The second solution, known as the Multiomics Suite, expedites the discovery and interpretation of genomic data. [Published On: 2023-05-16]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Artificial Intelligence in Pharmaceutical Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Pharmaceutical Market, highlighting leading vendors and their innovative profiles. These include AiCure, LLC, Aspen Technology Inc, Atomwise Inc, BenevolentAI SA, BioSymetrics Inc., BPGbio Inc., Butterfly Network, Inc., Cloud Pharmaceuticals, Inc., CloudMedX Inc., Cyclica Inc, Deargen Inc, Deep Genomics Incorporated, Euretos Services BV, Exscientia plc, Google LLC, Insilico Medicine, Intel Corporation, International Business Machines Corporation, InveniAI LLC, Isomorphic Labs, Microsoft Corporation, Novo Nordisk A/S, Oracle Corporation, Sanofi SA, Turbine Ltd., Viseven Europe OU, and XtalPi Inc..
Market Segmentation & Coverage