市場調查報告書
商品編碼
1525461
全球基因體學人工智慧市場評估:按產品,技術,功能,應用,最終用戶,地區,機會,預測(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 |
全球基因組學人工智慧市場規模預計將從 2023 年的 6.336 億美元增至 2031 年的 89.1451 億美元,2024-2031 年的複合年增長率將達到 39.17%。人工智慧的進步、基因組數據生成的增加、對更快藥物開發過程的需求增加、慢性病患者數量的增加以及老年人口的擴大支持了市場的成長。人工智慧和基因組學的整合允許以準確、高效的方式分析大量數據,人工智慧演算法有助於預測疾病風險、開發有針對性的治療方法並識別基因突變,從而使醫療保健專業人員能夠提供更好的病人照護並做出決策。
對個人化醫療的需求不斷增長也是推動全球人工智慧基因組學市場成長的主要因素。基因組資訊幫助研究人員和科學家研究個體對藥物的反應,而與人工智慧的整合可以對大量數據進行高效的分析。人工智慧演算法可以幫助開發針對性治療、識別基因突變並預測疾病風險。
此外,癌症患者數量的增加也是擴大全球基因組學人工智慧市場的主要因素。National Cancer Institute估計,2024 年美國將診斷出約 2,001,140 名新癌症患者。這種增加可能有助於開發與癌症相關的藥物,這些藥物有助於抑制促使異常生長的□反應,關閉分子信號傳導途徑,並抑制負責基因表達的癌細胞的特性。包括對患者基因組變化的研究。
對更快藥物開發過程的需求不斷增長推動市場成長
人口老化以及遺傳疾病、慢性病和傳染病發病率的增加使得加速藥物研發進程勢在必行。根據世界衛生組織(WHO)估計,到2050年,60歲及以上的人口預計將增加到21億。在藥物開發過程的發現階段選擇的各種候選藥物由於不利的藥物動力學特性或毒性而未能通過後期階段。人工智慧和機器學習技術可分析藥物對不同遺傳群體的影響並縮短開發時間,從而實現標靶驗證和識別、生物標記發現、藥物再利用和臨床試驗優化。人工智慧模型可以預測針對特定途徑或基因的有效性,刺激不同藥物的效果,並顯示特定患者群體對特定治療的反應。因此,研究人員可以加快藥物開發過程並滿足不斷增長的需求。
基因組計畫投資增加帶動市場需求
各國政府增加對基因組學計畫的投資是推動全球基因組學市場對人工智慧需求的關鍵因素之一,因為人工智慧有助於增強和加速對生成數據的分析。2024年2月,Department of Biotechnology宣佈完成了Genome India Project,並對10,000個基因組進行了定序。全國20家機構收集了99個民族的基因樣本,並創建了可用於未來研究工作的參考基因資料庫。此類投資和舉措正在促進市場的成長,因為它們增強了基因組數據的生成,並且各種人工智慧演算法實現了複雜數據集的有效數據管理和分析。
製藥和生物技術公司佔據主要市場份額
由於遺傳疾病患者數量的增加,製藥和生物技術公司的快速擴張正在支撐市場的成長。American Lung Association估計,美國約有 3 萬人患有囊性纖維化,大約每 30 名美國人中就有 1 名是帶因者。機器學習和人工智慧正在幫助製藥和生物技術公司預測和預防疾病,同時有效管理臨床數據,以預測潛在化合物的毒性並防止其在更有可能失敗的藥物中使用。因此,公司可以投資有效的治療解決方案,改善患者的治療效果。
同時,由於對個人化醫療的投資增加以及更多地採用人工智慧來管理大型數據集,醫院預計在未來幾年將顯著成長。
本報告針對全球基因體學人工智慧市場進行研究分析,提供市場規模與預測、各地區的市場前景、市場動態、競爭格局等。
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.