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市場調査レポート
商品コード
1525461
ゲノミクス向けAIの世界市場の評価:提供別、技術別、機能別、用途別、エンドユーザー別、地域別、機会、予測(2017年~2031年)AI in Genomics Market Assessment, By Offering, By Technology, By Functionality, By Application, By End-user, By Region, Opportunities and Forecast, 2017-2031F |
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ゲノミクス向けAIの世界市場の評価:提供別、技術別、機能別、用途別、エンドユーザー別、地域別、機会、予測(2017年~2031年) |
出版日: 2024年08月02日
発行: Market Xcel - Markets and Data
ページ情報: 英文 229 Pages
納期: 3~5営業日
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世界のゲノミクス向けAIの市場規模は、2023年の6億3,360万米ドルから2031年に89億1,451万米ドルに達すると予測され、予測期間の2024年~2031年にCAGRで39.17%の成長が見込まれます。市場の成長は、AIの進歩、ゲノムデータの生成の増加、医薬品開発プロセスの迅速化に対する要求の高まり、慢性疾患患者の増加、老年人口の拡大によって支えられています。AIとゲノミクスの統合により、大量のデータを正確かつ時間効率の高い方法で分析することが可能になり、AIアルゴリズムが疾病リスクの予測、標的治療の開発、遺伝子変異の特定を支援することで、医療従事者がより充実した患者ケアを提供し、十分な情報に基づいた意思決定を行うことができるようになります。
個別化医療に対する要求の高まりも、世界のゲノミクス向けAIの市場成長を後押しする主な要因です。ゲノム情報は、研究者や科学者が薬剤に対する個々の反応を研究するのに役立つ一方で、AIとの統合により、大量のデータを時間効率よく分析できるようになるためです。AIアルゴリズムは、標的治療の開発、遺伝子変異の特定、疾病リスクの予測に役立ちます。
さらに、がん患者の増加も世界のゲノミクス向けAIの市場規模を拡大する大きな要因となっています。National Cancer Instituteの推計によると、米国では2024年に約200万1,140人のがん患者が新たに診断されると予測されています。この増加は、異常増殖の原因となる酵素反応の阻害、分子シグナル伝達経路の停止、遺伝子発現を担うがん細胞の特性の阻害を支援するがん関連薬の開発を支援するための、がん患者のゲノム変化の研究を含む研究活動への取り組みを推進しています。
医薬品開発プロセスの迅速化に対する要求の高まりが市場成長を後押し
高齢化の進行と遺伝性疾患、慢性疾患、感染症の増加により、医薬品開発プロセスの加速が不可欠となっています。世界保健機関(WHO)の推計によると、60歳以上の人口は2050年までに21億人に増加すると見込まれています。医薬品開発プロセスの探索段階で選択されたさまざまな医薬品候補は、好ましくない薬物動態特性や毒性のために後期段階を通過することができません。AIと機械学習の技術は、さまざまな遺伝子集団に対する薬剤の効果を分析し、開発期間を短縮することで、標的の検証と特定、バイオマーカーの発見、薬剤の再利用、臨床試験の最適化を支援します。AIモデルは、特定の経路や遺伝子を標的とすることの有効性を予測し、さまざまな薬剤の効果を刺激し、特定の患者グループが特定の治療にどのように反応するかを示すことができます。その結果、研究者は医薬品開発プロセスをスピードアップし、高まる要求に応えることができます。
ゲノムプロジェクトへの投資の増加が市場需要を押し上げる
さまざまな政府によるゲノミクスプロジェクトへの投資の増加は、AIが生成されたデータの分析を強化し加速するのに役立つことから、世界のゲノミクス向けAI市場の需要を押し上げる主な要因の1つとなっています。2024年2月、Department of BiotechnologyはGenome India Projectを完了し、1万のゲノムのシーケンシングを行ったと発表しました。全国の20の機関が99の民族から遺伝子サンプルを収集し、将来の研究活動に活用できる遺伝子データベースのリファレンスを作成しました。このような投資や取り組みは、ゲノムデータの生成を強化し、さまざまなAIアルゴリズムがデータの効果的な管理や複雑なデータセットの分析を可能にすることから、市場の成長を増大させています。
製薬企業・バイオテクノロジー企業が大きな市場シェアを占める
遺伝病患者の増加による製薬企業・バイオ企業の急拡大が、市場の成長を支えています。American Lung Associationの推計によると、米国では約3万人が嚢胞性線維症を患っており、米国人の約30人に1人が保因者です。機械学習とAIは、製薬企業やバイオテクノロジー企業が、潜在的な化合物の毒性を予測し、失敗する可能性の高い医薬品への使用を防ぐ臨床データの効率的な管理とともに、疾患の予測と予防を自動化することを支援します。その結果、企業は効果的な治療ソリューションに投資できるようになり、患者の転帰が向上します。
一方、病院は、個別化医療への投資の高まりと、大規模データセットの管理にAIを採用する動きが活発化していることから、今後数年間に大きな成長が見込まれます。
当レポートでは、世界のゲノミクス向けAI市場について調査分析し、市場規模と予測、各地域の市場見通し、市場力学、競合情勢などを提供しています。
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.