市场调查报告书
商品编码
1525461
全球基因体学人工智慧市场评估:按产品,技术,功能,应用,最终用户,地区,机会,预测(2017-2031)AI in Genomics Market Assessment, By Offering, By Technology, By Functionality, By Application, By End-user, By Region, Opportunities and Forecast, 2017-2031F |
全球基因组学人工智慧市场规模预计将从 2023 年的 6.336 亿美元增至 2031 年的 89.1451 亿美元,2024-2031 年的复合年增长率将达到 39.17%。人工智慧的进步、基因组数据生成的增加、对更快药物开发过程的需求增加、慢性病患者数量的增加以及老年人口的扩大支持了市场的成长。人工智慧和基因组学的整合允许以准确、高效的方式分析大量数据,人工智慧演算法有助于预测疾病风险、开发有针对性的治疗方法并识别基因突变,从而使医疗保健专业人员能够提供更好的病人照护并做出决策。
对个人化医疗的需求不断增长也是推动全球人工智慧基因组学市场成长的主要因素。基因组资讯帮助研究人员和科学家研究个体对药物的反应,而与人工智慧的整合可以对大量数据进行高效的分析。人工智慧演算法可以帮助开发针对性治疗、识别基因突变并预测疾病风险。
此外,癌症患者数量的增加也是扩大全球基因组学人工智慧市场的主要因素。National Cancer Institute估计,2024 年美国将诊断出约 2,001,140 名新癌症患者。这种增加可能有助于开发与癌症相关的药物,这些药物有助于抑制促使异常生长的□反应,关闭分子信号传导途径,并抑制负责基因表达的癌细胞的特性。包括对患者基因组变化的研究。
对更快药物开发过程的需求不断增长推动市场成长
人口老化以及遗传疾病、慢性病和传染病发病率的增加使得加速药物研发进程势在必行。根据世界卫生组织(WHO)估计,到2050年,60岁及以上的人口预计将增加到21亿。在药物开发过程的发现阶段选择的各种候选药物由于不利的药物动力学特性或毒性而未能通过后期阶段。人工智慧和机器学习技术可分析药物对不同遗传群体的影响并缩短开发时间,从而实现标靶验证和识别、生物标记发现、药物再利用和临床试验优化。人工智慧模型可以预测针对特定途径或基因的有效性,刺激不同药物的效果,并显示特定患者群体对特定治疗的反应。因此,研究人员可以加快药物开发过程并满足不断增长的需求。
基因组计画投资增加带动市场需求
各国政府增加对基因组学计画的投资是推动全球基因组学市场对人工智慧需求的关键因素之一,因为人工智慧有助于增强和加速对生成数据的分析。2024年2月,Department of Biotechnology宣布完成了Genome India Project,并对10,000个基因组进行了定序。全国20家机构收集了99个民族的基因样本,并创建了可用于未来研究工作的参考基因资料库。此类投资和举措正在促进市场的成长,因为它们增强了基因组数据的生成,并且各种人工智慧演算法实现了复杂数据集的有效数据管理和分析。
製药和生物技术公司占据主要市场份额
由于遗传疾病患者数量的增加,製药和生物技术公司的快速扩张正在支撑市场的成长。American Lung Association估计,美国约有 3 万人患有囊性纤维化,大约每 30 名美国人中就有 1 名是带因者。机器学习和人工智慧正在帮助製药和生物技术公司预测和预防疾病,同时有效管理临床数据,以预测潜在化合物的毒性并防止其在更有可能失败的药物中使用。因此,公司可以投资有效的治疗解决方案,改善患者的治疗效果。
同时,由于对个人化医疗的投资增加以及更多地采用人工智慧来管理大型数据集,医院预计在未来几年将显着成长。
本报告针对全球基因体学人工智慧市场进行研究分析,提供市场规模与预测、各地区的市场前景、市场动态、竞争格局等。
Global AI in genomics market is projected to witness a CAGR of 39.17% during the forecast period 2024-2031, growing from USD 633.60 million in 2023 to USD 8914.51 million in 2031. The market's growth is supported by the advancements in artificial intelligence (AI), rising generation of genomic data, growing requirement for acceleration of drug development processes, increasing cases of chronic diseases, and expansion of geriatric population. The integration of AI with genomics allows the analyses of large amounts of data in an accurate and time efficient manner and AI algorithms aiding in predicting risk of diseases, developing targeted therapies, and identifying genetic mutations, allowing the healthcare professionals to provide enhanced patient care and making informed decisions.
The rising requirement for personalized medicines is another major factor boosting the global AI in genomics market growth as genomic information aids researchers and scientists in studying the individual responses to the drugs while the integration with AI allows for analyses of larger volumes of data in a time efficient manner. The AI algorithms aid in developing targeted therapies, identifying genetic mutations, and predicting the risk of disease.
Additionally, the increasing cases of cancer is another major factor augmenting the global AI in genomics market size. As per the estimates of the National Cancer Institute, approximately 2,001,140 new cases of cancer are expected to be diagnosed in 2024 in the United States. The increase is propelling the efforts towards the research activities, including research in genomic changes in cancer patients to support the development of cancer related drugs that aid in inhibiting enzyme responses responsible for abnormal growth, halting molecular signaling pathways, and blocking characteristics of cancer cells that are responsible for gene expression.
Rising Requirement for Accelerated Drug Development Process Boosts Market Growth
Due to the growth of aging population and rising cases of genetic, chronic, and infectious diseases, the acceleration of drug development process is becoming essential. According to the estimates of the World Health Organization (WHO), the population of individuals of age sixty and above is expected to increase to 2.1 billion, by 2050. Various drug candidates that are selected during the discovery phase of the drug development processes fail to cross late stages due to unfavorable pharmacokinetic properties and toxicity. AI and machine learning technologies aid in target validation and identification, discovery of biomarkers, repurposing of drugs, and optimization of clinical trials by analyzing the effects of drugs on various genetic populations and shortening the development timeline. The AI models can predict the effectiveness of targeting specific pathways and genes, stimulating the effects of different drugs and indicating how a certain group of patients respond to specific treatments. It in turn aids researchers in speeding the drug development process, allowing them to meet the rising requirements.
Increasing Investments Towards Genomic Projects Boosts Market Demand
The rising investments by different governments towards genomics projects is one of the major factors boosting the global AI in genomics market demand as AI aids in enhancing and accelerating the analysis of the generated data. In February 2024, the Department of Biotechnology announced that they had completed the Genome India Project and conducted sequencing of 10,000 genomes. Twenty institutions across the country collected gene samples from ninety-nine ethnic groups, creating a reference of genetic database for utilization in future research activities. Such investments and initiatives are bolstering the generation of genomic data and augmenting the growth of the market as various AI algorithms allow for effective management of data and analysis of complex data sets.
Pharmaceutical and Biotech Companies Hold Significant Market Share
The rapid expansion of pharmaceutical and biotech companies due to the increasing cases of genetic diseases is supporting the market's growth. As per the estimates of the American Lung Association, approximately 30,000 people in the United States have cystic fibrosis, and around 1 in 30 Americans is a carrier. Machine learning and artificial intelligence aid pharmaceutical and biotech companies to automate prediction and prevention of disease, along with efficient management of clinical data that predict toxicity of potential compounds, preventing them from use in drugs that have a higher probability of failing. It in turn will allow the companies to invest in effective therapeutic solutions, thus enhancing the patient outcomes.
Meanwhile, hospitals are expected to witness significant growth in the forecast years, it can be attributed to the rising investments in personalized medicines and rising adoption of AI for management of large data sets.
North America Expected to Hold Significant Market Share
The market growth in North America is supported by the strong presence of research institutions and biotech and genomic companies in the region, coupled with rising investments towards the development of AI powered solutions for applications in genomics. The rising investments in genomics can be attributed to the wide range of applications of the sector in healthcare and possible breakthroughs that could provide a cure for diseases and disorders that were earlier deemed without course or fatal. The rising prevalence of cancer in the region is another major factor, due to which investments in genomics are increasing, which in turn, is providing lucrative growth opportunities for the market. As per the estimates of the National Cancer Institute, 2,001,140 new cases of cancer are expected to be diagnosed in the United States in 2024.
Meanwhile, market is expected to witness significant growth in Asia-Pacific in the forecast years, owing to the increasing government initiatives in the region as genome sequencing in combination with phenotype, microbiome, and clinical information will allow for an enhanced analysis of healthy and disease affected individuals on the basis of inferred local ancestries.
Future Market Scenario (2024 - 2031F)
AI is expected to accelerate the analysis of massive genome sequencing data. The rising investments in research and development activities are expected to support the expansion of the market. The Hospital Universitari Vall d'Hebron Research Institute is conducting an observational study for improving the SCD prognosis and classification by AI. The study aims to advance disease characterization for improving health outcomes by developing individual models in sickle cell disease and identifying biomarkers. The development of the GENOMED4ALL AI algorithm for the sickle cell disease will allow in-depth characterization and the prediction of various complications associated with the disease. The primary endpoints of interest include the development of a probability score for predicting different patterns recognized by AI, development of predictive risk scores for occurrences of severe and prevalent clinical outcomes, and improved sickle cell disease classification. The study is expected to conclude in December 2024.
Key Players Landscape and Outlook
The growth of AI in genomics market is supported by the rising collaborations and partnerships between the key players of the market and leading biotechnology companies. In June 2024, Helix, Inc. announced partnership with Recursion Pharmaceuticals that will combine the company's clinic-genomic dataset with over 25 petabytes of the latter's chemical and biological data. Such collaborations will aid scientists in gathering more information about the correlation between genes and diseases and the availability of genetic information, allowing them to identify patients that could aid from preventive measures or specific treatments. This will aid healthcare professionals and reduce costs related to duplicate testing, resulting in efficient utilization of resources.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.