市场调查报告书
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1497589
支援人工智慧的 X 光成像解决方案市场:按组件、模式、部署模式、应用程式和最终用途划分 - 2024-2030 年全球预测AI-Enabled X-Ray Imaging Solutions Market by Component (Hardware, Software), Modality (Computed Tomography (CT), Magnetic Resonance (MR), Mammography), Deployment Mode, Application, End-use - Global Forecast 2024-2030 |
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预计2023年人工智慧X射线成像解决方案市场规模为23.1亿美元,2024年达26.1亿美元,2030年达到55.4亿美元,复合年增长率为13.28%。
支援人工智慧 (AI) 的 X 射线成像解决方案将人工智慧技术整合到传统的 X 射线成像系统中。这些先进的解决方案旨在透过提高影像品质、准确性和解释来增强 X 光成像的能力,同时提高医学影像的操作效率。对先进诊断技术和工具的需求,以及政府为改善医疗基础设施而增加的投资,导致对人工智慧 X 光成像解决方案的需求激增。此外,对符合患者独特基因组图谱的个人化治疗计画的需求正在推动人工智慧在诊断影像中的部署。然而,人工智慧应用缺乏行业标准可能会阻碍互通性。此外,人工智慧系统需要大量的资料集,这需要严格的资料保护措施,而资料外洩的可能性阻碍了技术解决方案的采用。然而,主要参与者正在探索开发更新的去识别和部署同意模型,以改善人工智慧 X 光成像解决方案的资料隐私。用于 X 光影像共用和分析的云端平台的开发可能是一个成长机会。此外,监管部门对人工智慧 X 光成像解决方案的核准可能会进一步巩固行业成长。
主要市场统计 | |
---|---|
基准年[2023] | 23.1亿美元 |
预测年份 [2024] | 26.1亿美元 |
预测年份 [2030] | 55.4亿美元 |
复合年增长率(%) | 13.28% |
区域洞察
以美国和加拿大为中心的美洲地区的特点是拥有强大的技术部门和对医疗基础设施升级的投资,这正在推动人工智慧 X 光成像解决方案的采用。医疗技术领域的多项产品发布、主要参与者和科技公司的出现正在推动人工智慧技术领域的创新和研究。欧盟强大的资料隐私法规结构,包括着名的《一般资料保护规范》(GDPR) 和严格的医疗设备法规,将影响客户对支援人工智慧的 X 光系统的购买行为,以确保我所提供的资料隐私和安全。在一系列欧盟资助的研究倡议的支持下,医疗保健人工智慧的投资强劲。欧洲消费者精明且具有健康意识,这表明他们对人工智慧解决方案持开放态度,这些解决方案在资料处理方面表现出明显的临床效益和透明度。亚太地区对人工智慧 X 光成像解决方案的需求得到了政府对医疗服务数位化的有利政策的支持。印度和中国等国家更喜欢经济高效且易于获得的诊断和影像服务。
FPNV定位矩阵
FPNV 定位矩阵对于评估供应商在人工智慧 X 光成像解决方案市场中的定位至关重要。此矩阵提供了对供应商的全面评估,并检验了与业务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估结果,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可对人工智慧 X 光成像解决方案市场中供应商的现状进行深入而详细的评估。透过仔细比较和分析供应商的贡献,您可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析还提供了对该领域竞争性质的宝贵见解,包括累积研究期、片段化优势和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在人工智慧 X 光成像解决方案市场中的地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[197 Pages Report] The AI-Enabled X-Ray Imaging Solutions Market size was estimated at USD 2.31 billion in 2023 and expected to reach USD 2.61 billion in 2024, at a CAGR 13.28% to reach USD 5.54 billion by 2030.
Artificial intelligence (AI)-)-enabled X-ray imaging solutions refer to the integration of artificial intelligence technologies with conventional X-ray imaging systems. These advanced solutions are designed to enhance the capabilities of X-ray imaging by improving image quality, accuracy, and interpretation while driving operational efficiency in medical imaging practices. The need for advanced diagnostics technologies and tools and rising government investments to improve healthcare infrastructure has led to a surge in demand for AI-enabled x-ray imaging solutions. Additionally, the need for personalized treatment plans catering to the patient's unique genomic profile is augmenting the deployment of AI in imaging diagnostics. However, the absence of industry standards for AI applications can hinder interoperability. Furthermore, AI systems require large datasets, necessitating stringent data protection measures, and the possibility of data breaches impedes the adoption of technology solutions. However, key players are exploring the development of modernized versions of deidentification and deploying consent models to improve the data privacy of AI-enabled X-ray imaging solutions. The development of cloud platforms for the sharing and analysis of X-ray images might provide growth opportunities. Furthermore, favorable regulatory approvals for AI-enabled X-ray imaging solutions can further cement the growth of the industry.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 2.31 billion |
Estimated Year [2024] | USD 2.61 billion |
Forecast Year [2030] | USD 5.54 billion |
CAGR (%) | 13.28% |
Regional Insights
The Americas region, particularly the US and Canada, are characterized by the presence of a robust technological sector and several investments in the upgradation of healthcare infrastructure, which has driven the adoption of AI-enabled X-ray imaging solutions. Several product launches in the health tech sector and the presence of key players and technological companies have driven innovations and research in the field of AI technology. The EU's strong regulatory framework for data privacy, which includes the notable General Data Protection Regulation (GDPR) and stringent medical device regulations, influences customer purchasing behavior towards AI-enabled X-ray systems that ensure data privacy and security. Investment in healthcare AI is robust, supported by various EU-funded research initiatives. The European consumer is well-informed and health-conscious, showing readiness to embrace AI solutions that demonstrate clear clinical benefits and transparency in data handling. The demand for AI-enabled X-ray imaging solutions in the APAC region is supported by favorable government policies for digitalizing health services. Countries such as India and China favor cost-effective and easily accessible diagnostic and imaging services.
Market Insights
The market dynamics represent an ever-changing landscape of the AI-Enabled X-Ray Imaging Solutions Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the AI-Enabled X-Ray Imaging Solutions Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the AI-Enabled X-Ray Imaging Solutions Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
AstraZeneca and IKN to Launch AI X-ray Technology For Early Lung Screening
In a landmark collaboration, AstraZeneca PLC has joined forces with Institut Kanser Negara of Malaysia to spearhead the integration of Artificial Intelligence (AI) into X-ray imaging solutions. This pioneering venture, which falls under the Projek Saringan Awal Paru-Paru (SAPU) programme, aims to revolutionize early lung screening processes at state-run clinics and hospitals. [Published On: 2023-09-25]
Mylab Partners with Qure.ai for Speedy TB Diagnosis through AI-aided X-Ray
Mylab Discovery Solutions, a renowned Pune-based biotech entity, has announced a strategic partnership with medical AI giant Qure.ai to introduce a revolutionary AI-enabled handheld x-ray device, MyBeam, aimed at the early detection and screening of tuberculosis (TB). This innovative collaboration integrates Qure.ai's advanced qXR software with MyBeam, significantly enhancing TB diagnosis accuracy and efficiency, facilitating prompt medical intervention. [Published On: 2023-02-15]
Annalise.ai Launches AI-Powered Worklist Triage for Chest X-Ray & Head CTs
Annalise.ai has launched its state-of-the-art product, Annalise Triage, a pioneering AI-powered solution designed to optimize radiologists' workflow in the United States. This cutting-edge system prioritizes chest X-rays and head CT scans that may indicate critical conditions, substantially reducing the time taken to interpret scans and deliver reports, thereby accelerating critical diagnoses [Published On: 2023-01-11]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the AI-Enabled X-Ray Imaging Solutions Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the AI-Enabled X-Ray Imaging Solutions Market, highlighting leading vendors and their innovative profiles. These include Agfa-Gevaert Group, Aidoc Medical Ltd., Behold.ai Technologies Limited, DentalXrai GmbH, Enlitic, Inc., GE HealthCare Technologies Inc., Hologic, Inc., Imagen, Infervision Medical Technology Co., Ltd., Konica Minolta Group, Koninklijke Philips N.V., L&T Technology Services Limited, Lunit Inc., Nuance Communications, Inc. by Microsoft Corporation, NVIDIA Corporation, Oxipit.ai, Quantib B.V. by RadNet, Inc, Quibim, S.L., Qure.ai Technologies Private Limited, Radiobotics ApS, Siemens Healthineers AG, Tempus Labs, Inc., and VUNO Inc..
Market Segmentation & Coverage