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市場調查報告書
商品編碼
1371963
到 2030 年精準醫療人工智慧市場預測:按產品、技術、用途和區域分析全球市場Artificial Intelligence In Precision Medicine Market Forecasts to 2030 - Global Analysis By Offering, Technology, Application and By Geography. |
根據 Stratistics MRC 的數據,2023 年全球精準醫療人工智慧市場規模為 17.3 億美元,預測期內年複合成長率為 33.8%,到 2030 年將達到 133 億美元。
精準醫療中的人工智慧 (AI) 涉及使用個人基因組資料來開發個人化醫療。這些資料使得為患者制定治療計劃成為可能。醫療保健中的人工智慧(AI)用於借助演算法和軟體模擬人類認知來分析複雜的醫療資料。人工智慧技術預計將有助於使這一過程更快、更便宜,從而提高製藥和生物技術公司的效率。
根據美國國立衛生研究院(NIH)的報告,2023年,光是美國就將新增190萬癌症病例,609,820人死亡。因此,人工智慧在腫瘤學中的整合有望有助於更準確、更快速地診斷癌症,從而改善患者的治療結果。
癌症罹患率持續上升,需要更有效和精確的治療策略。人工智慧憑藉其先進的演算法和機器學習能力,已成為解決癌症診斷、預後和個體化治療複雜性的強大工具。人工智慧透過影像分析對癌症診斷產生重大影響,有助於高度準確地早期檢測癌症和轉移。此外,人工智慧主導的預測模型可以幫助預測疾病結果和患者對各種治療的反應,從而促進客製化和最佳化的治療方法。人工智慧將確保患者接受最合適、最有效的治療,最終提高存活率並提高癌症護理的整體品質。
開發和部署精準醫療人工智慧技術需要大量成本,包括研究、資料收集、演算法開發、運算資源和專業知識。成本集中流程包括建置和維護最先進的運算基礎設施、評估大量醫療資料以及開發人工智慧模型。這些經濟障礙對可近性和可負擔性提出了挑戰,限制了人工智慧在精準醫療中的普及和實施,並最終限制了其徹底改變醫療保健結果和個體化治療的潛力。
人工智慧取得了顯著的進步,利用機器學習、深度學習、自然語言處理和預測分析徹底改變了精準醫療背景下醫療資料的分析和使用方式。人工智慧驅動的工具可以協助診斷、藥物研發、患者風險評估和治療最佳化,以改善患者照護和結果。此外,人工智慧演算法和模型的不斷增強,有助於為精準醫療創建更準確、高效、可靠的人工智慧解決方案。隨著技術的不斷發展,人工智慧在精準醫療方面的能力將進一步擴展,有助於更有效、及時和個體化的醫療干涉,最終徹底改變醫療保健的實踐方式並達到全球範圍,有望改善患者的治療結果。
人工智慧整合需要大量患者特定資訊,包括遺傳資料和醫療記錄。如此豐富的個人資料使該領域成為網路威脅、資料外洩和詐欺存取的有吸引力的目標。保護此類敏感資訊免受惡意攻擊並確保遵守嚴格的隱私法規是一項重大挑戰。安全漏洞損害了患者的機密性,並削弱了對人工智慧系統的信任,可能會阻礙醫療保健提供者和患者採用這些潛在的變革性技術。這些威脅正在阻礙市場成長。
COVID-19的爆發對精準醫療市場的人工智慧產生了積極影響。醫療保健部門越來越注重利用人工智慧技術來應對疫情帶來的挑戰。在 COVID-19 危機期間,人工智慧在診斷、治療方法開發、新藥發現和患者管理領域變得至關重要。此外,人工智慧演算法的使用可以分析大量資料庫,從而準確、快速地診斷 COVID-19 病例。人工智慧驅動的解決方案正在透過識別候選藥物並加速藥物再利用過程來加速潛在療法和疫苗的開發,從而創造有希望的機會。
隨著基於人工智慧的精準醫療軟體解決方案被組織、醫療保健付款人、患者和醫療保健提供者迅速採用,軟體領域預計將佔據最大佔有率。人工智慧技術在醫療保健行業的不斷成長的應用也要素了成長,包括遠端醫療、機器人手術、臨床試驗、給藥、減少管理錯誤、虛擬助理和臨床試驗。此外,政府和商業性配合措施也正在推動這一領域的擴張。有幾家公司提供軟體服務,使用基於科學預測的深入知識的機器學習演算法來估計癌症進展,從而可以有效預測治療後的癌症進展。這很有幫助。
由於癲癇、失智症、失智症、阿茲海默症和腦腫瘤等神經系統疾病的患病不斷上升,預計神經病學領域將在預測期內出現良好的成長。這一領域的成長也推動了對人工智慧不斷成長的需求,人工智慧可以透過提供精準治療來治療罹患患者。人工智慧增強了神經外科的術前、術後和術中階段。這些因素正在推動該領域的成長。
北美地區在健康福祉方面消費者消費能力強勁,研發相關投資成長迅速,美國、加拿大等國家醫療基礎設施強大,2022年精準醫療獲得最大市場佔有率由於其在人工智慧市場的主導地位,在預測期內。此外,幾家知名人工智慧軟體和系統製造商的出現,以及政府配合措施支持新創公司使用人工智慧,可能會加速該領域的成長。
預計歐洲在預測期內將出現盈利成長。慢性病發病率的增加和老年人口的增加增加了對感染疾病的早期發現和強制執行的需求。該地區國家正在積極採用人工智慧技術來改善醫療保健結果。人工智慧被用來解釋大量的醫療資料集、個體化治療和最佳化藥物研發過程。許多公司正在實施策略來獲得相對於競爭對手的競爭優勢。此外,學術界、工業界和醫療保健提供者之間的配合措施正在推動人工智慧在精準醫療領域的發展,使歐洲成為這個變革性醫療保健領域的關鍵參與者。
According to Stratistics MRC, the Global Artificial Intelligence In Precision Medicine Market is accounted for $1.73 billion in 2023 and is expected to reach $13.3 billion by 2030 growing at a CAGR of 33.8% during the forecast period. Artificial intelligence (AI) in precision medicine involves the use of genomic data about an individual to develop personalised medicine. With this data, it is possible to create treatment plans for patients. Artificial intelligence (AI) in medicine is used to analyse complex medical data by approximating human cognition with the help of algorithms and software. AI technology can help make this process faster and cheaper, which in turn is expected to improve the efficiency of pharmaceutical and biotechnology companies.
According to the National Institutes of Health (NIH) report, in 2023, 1.9 million new cancer cases and 609,820 cancer deaths are projected to occur in the U.S. only. Therefore, integration of AI in oncology is expected to contribute to more accurate and faster diagnosis of cancer, leading to enhanced patient outcomes.
Cancer incidence rates continue to escalate, necessitating more effective and precise treatment strategies. AI, with its advanced algorithms and machine learning capabilities, has emerged as a potent tool to tackle the complexities of cancer diagnosis, prognosis, and personalised treatment. AI has a significant impact on the diagnosis of cancer through image analysis, assisting in the very accurate early detection of cancers and metastases. Moreover, AI-driven predictive modelling helps anticipate disease outcomes and patient responses to various treatments, facilitating tailored and optimised therapeutic approaches. AI ensures that patients receive the most appropriate and effective treatments, ultimately improving survival rates and enhancing the overall quality of cancer care.
The development and deployment of AI technologies for precision medicine entail substantial expenses in terms of research, data collection, algorithm development, computational resources, and specialised expertise. The cost-intensive processes include building and maintaining cutting-edge computing infrastructure, evaluating vast amounts of healthcare data, and developing AI models. These financial barriers pose challenges in accessibility and affordability, limiting the widespread adoption and implementation of AI in precision medicine and ultimately affecting its potential to revolutionise healthcare outcomes and personalised treatments.
AI has evolved with remarkable progress, leveraging machine learning, deep learning, natural language processing, and predictive analytics to revolutionise how medical data is analysed and utilised in the context of precision medicine. AI-powered tools can assist in diagnosis, drug discovery, patient risk assessment, and treatment optimisation, enhancing overall patient care and outcomes. Moreover, the continuous enhancement of AI algorithms and models is fostering the creation of more accurate, efficient, and reliable AI solutions for precision medicine. As technology continues to evolve, the capabilities of AI in precision medicine are expected to expand further, contributing to more effective, timely, and personalised healthcare interventions, ultimately revolutionising the way medicine is practiced and improving patient outcomes on a global scale.
The integration of AI requires vast amounts of patient-specific information, including genetic data and medical records. This abundance of personal data makes the sector a prime target for cyber threats, data breaches, and unauthorised access. Protecting this sensitive information from malicious attacks and ensuring compliance with stringent privacy regulations poses a significant challenge. Security breaches can compromise patient confidentiality, erode trust in AI-powered systems, and deter both healthcare providers and patients from adopting these potentially transformative technologies. These threats are hampering market growth.
The COVID-19 pandemic had a positive impact on AI in the precision medicine market. The healthcare sector had noticed a greater focus on using AI technologies to deal with the problems the pandemic had brought up. During the COVID-19 crisis, AI was essential in areas including diagnosis, the development of treatments, the discovery of new drugs, and patient management. Additionally, the use of AI algorithms has made it possible to analyse huge databases for a precise and quick diagnosis of COVID-19 cases. AI-powered solutions have facilitated the development of potential therapeutics and vaccines by identifying drug candidates and expediting the drug repurposing process, this has produced promising opportunities.
The Software segment is estimated to hold the largest share, due to a rapid adoption of software solutions based on artificial intelligence in precision medicine by organisations, healthcare payers, patients, and providers. The growth is also attributable to the expanding applications of AI technology in the healthcare industry, including telemedicine, robotic surgery, clinical trials, cybersecurity, dosing error reduction, virtual assistants, and clinical trials. Additionally, government and commercial initiatives also fuel the segment's expansion. Several companies provide software services that estimate cancer progression using an ML algorithm based on in-depth knowledge of scientific prediction, helping to effectively anticipate cancer progression as a response to therapy.
The Neurology segment is anticipated to have lucrative growth during the forecast period, due to the rising prevalence of neurological conditions such as epilepsy, dementia, migraines, Alzheimer's, and brain tumours. Growth in the sector is also being fuelled as rising demand for artificial intelligence which is able to treat patients affected by strokes by providing precision treatment. AI enhances brain surgery's preoperative, postoperative, and intraoperative phases. These elements are propelling segment growth.
North America commanded the largest market share during the extrapolated period due to the region's high consumer spending power on their health and well-being, rapid growth in investment associated with research and development-related activities, the presence of a strong healthcare infrastructure in countries like the United States and Canada, and its dominance in the market for artificial intelligence in precision medicine in 2022. Moreover, the existence of multiple well-known manufacturers of AI software and systems, as well as greater government initiatives to support start-up's usage of AI, will also hasten the growth of the sector.
Europe is expected to witness profitable growth over the projection period. The need for enhancing and discovering infections in their early stages is rising as a result of the rising frequency of chronic diseases and the growing older population. Countries within the region are actively embracing AI technologies to enhance healthcare outcomes. AI is being utilised to interpret vast medical datasets, personalise treatments, and optimise drug discovery processes. Various companies are implementing strategies to gain a competitive advantage over others. Additionally, collaborative efforts among academia, industry, and healthcare providers are fostering the growth of AI in precision medicine, positioning Europe as a key player in this transformative healthcare domain.
Some of the key players in the Artificial Intelligence In Precision Medicine Market include: BioXcel Therapeutics Inc., Intel Corporation, Insilico Medicine, Microsoft Corporation, NVIDIA Corporation, Sensely, Inc., Alphabet Inc. (Google), IBM, AceTech, Enlitic Inc, GE Healthcare, AstraZeneca, Sanofi, Microsoft Corporation, Welletok Inc., General Vision, Atomwise Inc., Caption Health, Zephyr AI and Berg Health .
In March 2023, Enlitic, Inc. announced the launch of Enlitic Curie 1.3, an AI-based platform that hosts Curie|ENCOG and Curie|ENDEX applications. This launch makes it easier for radiology departments to improve department-wide workflows.
In November 2022, Google partnered with iCAD, Inc. The collaboration aims to improve breast cancer detection and risk assessment in the short term. Furthermore, the partnership would focus on increasing connectivity to mammography technology via cloud-based solutions.
In September 2022, NVIDIA announced collaboration with Harvard and MIT's Broad Institute. By bringing NVIDIA's computing and AI tools to the institute's Terra cloud platform, the partnership aims to assist academic researchers and pharmaceutical companies in gaining AI-enabled computing power to extract large quantities of healthcare data.
In September 2022, GE Healthcare launched an artificial intelligence-powered Cath lab, Optima IGS 320. The release is expected to offer intelligent imaging to assist patients and cardiologists with personalized therapy protocols.
In August 2022, Sanofi and Atomwise joined a partnership. As per this collaboration, the companies targeted to make the development of drug discovery more cost-effective and effective.