![]() |
市場調查報告書
商品編碼
1666269
2031 年北美多模式人工智慧市場預測 - 區域分析 - 按組件、組織規模、資料類型和最終用途North America Multimodal AI Market Forecast to 2031 - Regional Analysis - by Component, Organization Size, Data Type, and End-use |
2023年北美多模式AI市場價值為3.4649億美元,預計到2031年將達到40.0696億美元;預計 2023 年至 2031 年的複合年成長率為 35.8%。
醫療保健領域應用激增推動北美多模式人工智慧市場
許多資料來源的整合增加了對複雜醫療狀況的了解,並為更精細和個人化的醫療治療提供了框架。因此,多模式人工智慧具有巨大潛力,可以改變醫療保健領域的多個方面。在臨床試驗中,數位化為長期存在的問題提供了變革性的解決方案。此外,各種人工智慧技術,包括穿戴式裝置和智慧型手機支援的自我報告問卷,可協助研究人員克服與時間、成本和參與者多樣性相關的障礙。整合多種模式的資料可提高資訊粒度,同時還可實現自動表現型分析和子分組。多模式人工智慧支援的自適應試驗設計提高了整體試驗的效率和反應能力。 2022年5月,百時美施貴寶與Owkin達成策略合作。收購的業務採用人工智慧來改善百時美施貴寶試驗的設計和執行,幫助其最佳化終點定義、患者亞組和治療影響估計,包括協變量調整和外部對照組。 Owkin 與美國各地的主要學術中心合作使用多模式患者資料。這些高品質的患者資料反映了更高的護理標準,為他們的人工智慧提供了動力。他們也透過 MOSAIC 等計畫合作,將空間組學和其他新模式納入其資料產品中。此外,Owkin 利用聯合學習等隱私增強技術,擴展了其全球資料網路,同時保持了資料安全和學術合作夥伴對研究合作的信任。多模式人工智慧還能改善遠端監控和照護。穿戴式裝置、電子健康記錄 (EHR) 和環境無線感測器的資料整合改善了遠端監控客製化。例如,當與穿戴式裝置整合時,環境感測器可以提高跌倒偵測和步態分析的效能,確保可靠性並減少誤報。因此,醫療保健領域人工智慧應用的擴展正在推動北美多模式人工智慧市場的發展。
北美多模式人工智慧市場概覽
北美多模式人工智慧市場分為美國、加拿大和墨西哥。北美是工業和經濟發達的地區。該地區正在經歷醫療保健、IT 和電信等各個領域的大量投資。史丹佛大學2023年4月發布的一項研究表明,2022年美國聯邦政府在科技領域的支出迅速增加。 2023 年 11 月,美國國防部 (DoD) 和國務院 (DoS) 都公佈了人工智慧戰略,表明政策正在發揮作用並可能影響支出。跨國專業服務公司埃森哲意識到該領域對政府的重要性,並宣布計劃在北美主要城市開設一系列生成人工智慧(AI)工作室。這些工作室將設在芝加哥、休士頓、紐約、舊金山、多倫多和華盛頓特區的埃森哲創新中心,專注於各種工業用例,讓客戶能夠協作、執行人工智慧試點並快速擴展專案。因此,所有這些因素都在推動北美市場的發展。
北美多模式 AI 市場收入及 2031 年預測(百萬美元)
北美多模式人工智慧市場細分
北美多模式人工智慧市場分為組件、組織規模、資料類型、最終用途和國家。
根據組成部分,北美多模式人工智慧市場分為解決方案和服務。 2023 年,解決方案部門將佔據更大的市場佔有率。
根據組織規模,北美多模式人工智慧市場分為中小企業和大型企業。 2023 年,大型企業板塊佔據了更大的市場。
根據資料類型,北美多模式人工智慧市場分為音訊和視訊、圖像和文字。 2023 年,音訊和視訊領域佔據了最大的市場佔有率。
根據最終用途,北美多模式AI 市場細分為汽車和運輸、BFSI、電子商務和零售、醫療保健、IT 和電信、媒體和娛樂等。 2023 年,BFSI 部門佔據了最大的市場佔有率。
依國家分類,北美多模式人工智慧市場分為美國、加拿大和墨西哥。 2023 年,美國佔據北美多模式AI 市場的主導佔有率。
Alphabet Inc;亞馬遜網路服務公司;國際商業機器公司; NEC 公司;微軟公司;艾姆軟體; Reka AI 公司;和 Openstream Inc. 是北美多模式AI 市場的一些領先公司。
The North America multimodal AI market was valued at US$ 346.49 million in 2023 and is expected to reach US$ 4,006.96 million by 2031; it is estimated to register a CAGR of 35.8% from 2023 to 2031.
Surging Application in Healthcare Sector Fuels North America Multimodal AI Market
The integration of many data sources increases the understanding of complex medical conditions as well as provides the framework for more refined and tailored medical treatments. Thus, multimodal AI has a huge potential to alter several aspects of the healthcare sector. In clinical trials, digitalization provides transformative solutions to long-standing issues. Moreover, various AI technologies, including wearable devices and smartphone-enabled self-reported questionnaires, help researchers overcome hurdles associated with time, cost, and participant diversity. Integrating data from several modalities improves information granularity while also allowing for automatic phenotyping and subgrouping. Adaptive trial designs enabled by multimodal AI improve efficiency and responsiveness in overall trials. In May 2022, Bristol Meyers Squibb entered into a strategic collaboration with Owkin. The acquired business employed AI to improve the design and execution of Bristol Meyers Squibb's trials, helping it optimize endpoint definitions, patient subgroups, and treatment impact estimation, including covariate adjustment and external control arms. Owkin uses multimodal patient data in collaboration with major academic centers across the US. This high-quality patient data, which reflects a greater standard of care, powers their AI. They also work together through initiatives such as MOSAIC to include spatial omics and other new modalities into their data offering. Further, Owkin expands its worldwide data network while maintaining data security and academic partner trust in research collaborations by utilizing privacy-enhancing technologies such as federated learning. Multimodal AI also improves remote monitoring and care. The integration of data from wearables, electronic health records (EHRs), and ambient wireless sensors improves remote monitoring customizations. For example, when integrated with wearables, environmental sensors improve fall detection and gait analysis performance, ensuring reliability while reducing false alarms. Thus, the expansion of AI applications in healthcare is driving the North America multimodal AI market .
North America Multimodal AI Market Overview
The North America multimodal AI market is segmented into the US, Canada, and Mexico. North America is an industrially and economically advanced region. The region is witnessing a large number of investments across various domains such as healthcare and IT & telecom. Stanford research published in April 2023 indicated that the US federal government spending in the technological sector increased rapidly in 2022. In June 2023, it was announced that the House Appropriations Committee would be working on passing legislation to include artificial intelligence (AI) in an expanding number of projects. In November 2023, both the Department of Defense (DoD) and the Department of State (DoS) unveiled AI strategies, demonstrating that policy is pulling through and potentially shaping expenditures. Recognizing the importance of this domain to government, Accenture, a multinational professional services corporation, announced plans to open a series of generative artificial intelligence (AI) studios in key North American cities. These studios will be located at Accenture Innovation Hubs in Chicago, Houston, New York, San Francisco, Toronto, and Washington, D.C. The studios will specialize in a variety of industrial use cases, allowing clients to collaborate, execute AI pilots, and quickly scale programs. Thus, all these factors are driving the market in North America.
North America Multimodal AI Market Revenue and Forecast to 2031 (US$ Million)
North America Multimodal AI Market Segmentation
The North America multimodal AI market is categorized into component, organization size, data type, end use, and country.
Based on component, the North America multimodal AI market is bifurcated into solution and service. The solution segment held a larger market share in 2023.
Based on organization size, the North America multimodal AI market is bifurcated into SMEs and large enterprises. The large enterprises segment held a larger market share in 2023.
By data type, the North America multimodal AI market is segmented into audio & video, image, and text. The audio & video segment held the largest market share in 2023.
By end use, the North America multimodal AI market is segmented into automotive and transportation, BFSI, E-commerce and retail, healthcare, IT and telecom, media & entertainment, and others. The BFSI segment held the largest market share in 2023.
By country, the North America multimodal AI market is segmented into the US, Canada, and Mexico. The US dominated the North America multimodal AI market share in 2023.
Alphabet Inc; Amazon Web Services Inc; International Business Machines Corp; NEC Corp; Microsoft Corp; Aimesoft; Reka AI, Inc; and Openstream Inc. are some of the leading companies operating in the North America multimodal AI market.