市场调查报告书
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1434318
医疗诊断市场中的人工智慧:按组件、技术、应用和最终用户划分 - 2024-2030 年全球预测Artificial Intelligence in Healthcare Diagnosis Market by Component (Hardware, Services, Software), Technology (Computer Vision, Context-Aware Computing, Machine Learning), Application, End-user - Global Forecast 2024-2030 |
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预计2023年人工智慧医疗诊断市场规模为21亿美元,预计2024年将达25.3亿美元,2030年将达80.8亿美元,复合年增长率为21.23%。
医疗诊断领域人工智慧的全球市场
主要市场统计 | |
---|---|
基准年[2023] | 21亿美元 |
预测年份 [2024] | 25.3亿美元 |
预测年份 [2030] | 80.8亿美元 |
复合年增长率(%) | 21.23% |
医疗诊断中的人工智慧使用机器学习等技术来处理和分析与医疗诊断相关的资料。人工智慧 (AI) 在医疗保健诊断中的使用正在增加,因为它可以快速处理大量资料、识别模式并比医生更快地做出更准确的诊断。人工智慧和机器人技术在医疗保健领域的日益普及、医学的变革以及政府和私营部门对人工智慧的投资加速,正在推动人工智慧在医疗保健诊断中的使用。然而,对训练有素的专业人员、人工智慧专业知识的需求,以及在医院和诊所使用人工智慧的资料隐私问题,阻碍了人工智慧的全部潜力。为了克服这些限制,新兴市场正在专注开拓影像诊断和隐私保护的人工智慧技术。医疗诊断中的人工智慧可以帮助医疗保健专业人员做出更明智的决策,同时节省时间、降低成本并改善医疗记录管理。
区域洞察
预计欧洲人工智慧在医疗诊断中的使用将显着增加,其特点是医疗诊断技术的不断进步以及公共医疗机构利用人工智慧的努力。在中东,沙乌地阿拉伯、阿联酋、以色列等智慧医院的建设不断增多,增加了人工智慧在疾病诊断中的应用潜力。美洲有许多成熟的人工智慧技术供应商,他们不断致力于扩展他们的医疗保健知识,以升级他们现有的产品组合。基于人工智慧的诊断设备和系统在美国和加拿大广泛使用,可以更快地即时获得结果。在亚太地区,人工智慧在医疗保健诊断领域的应用进展缓慢,许多数位转型倡议、医疗保健新兴企业和诊断实验室为突破性诊断解决方案获得了新资金,并且正在稳步成长。
FPNV定位矩阵
FPNV 定位矩阵对于评估医疗诊断市场的人工智慧至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限: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,可以对医疗诊断市场人工智慧供应商的现状进行深入而深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。这种详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1-市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2-市场开拓:我们深入研究利润丰厚的新兴市场,并分析它们在成熟细分市场中的渗透率。
3- 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4-竞争力评估与资讯:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况、製造能力等进行全面评估。
5- 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1-医疗诊断市场人工智慧的市场规模和预测是多少?
2-在医疗诊断市场人工智慧的预测期内,有哪些产品、细分市场、应用程式和领域需要考虑投资?
3-医疗诊断市场人工智慧的技术趋势和法律规范是什么?
4-医疗诊断市场人工智慧主要供应商的市场占有率是多少?
5-进入人工智慧医疗诊断市场的合适型态和策略手段是什么?
[185 Pages Report] The Artificial Intelligence in Healthcare Diagnosis Market size was estimated at USD 2.10 billion in 2023 and expected to reach USD 2.53 billion in 2024, at a CAGR 21.23% to reach USD 8.08 billion by 2030.
Global Artificial Intelligence in Healthcare Diagnosis Market
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 2.10 billion |
Estimated Year [2024] | USD 2.53 billion |
Forecast Year [2030] | USD 8.08 billion |
CAGR (%) | 21.23% |
AI in healthcare diagnosis uses technologies, including ML, to process and analyze data related to medical diagnosis. The ability of artificial intelligence (AI) to quickly process enormous amounts of data, identify patterns, and make more accurate diagnoses promptly than doctors have increased the use of AI in healthcare diagnosis. The growing implementation of artificial intelligence and robotics in the healthcare sector, transfigurating medical science, and accelerating investments by government and private sectors in artificial intelligence, have been promoting the use of AI in healthcare diagnosis. However, the need for more trained professionals, expertise in artificial intelligence, and data privacy concerns about using AI in hospitals and clinics impede their utmost usage. Market players are focused on technological development and privacy updation of AI in imaging & diagnosis to overcome these limitations. By using artificial intelligence in healthcare diagnosis, medical professionals are able to take more informed decisions based on more accurate information while saving time, reducing costs, and improving medical records management.
Regional Insights
Europe is expected to see a vital increase in the use of AI in healthcare diagnosis, characterized by the increasing number of advances in healthcare diagnostic technologies held in the region and AI use initiatives developed by the public healthcare authorities. The Middle East region also witnesses a rise in the establishment of smart hospitals across Saudi Arabia, UAE, and Israel, driving the potential to use AI to diagnose diseases. The Americas is home to many established AI technology providers constantly working on expanding their healthcare knowledge to upgrade their existing portfolio. AI-based diagnostic devices and systems are widely used across the U.S. and Canada to attain real-time and faster results. The Asia-Pacific region observes a slow and steady increase in AI adoption of healthcare diagnosis, with many digital transformation initiatives, healthcare startups, and diagnostic laboratories obtaining new funds for breakthrough diagnostic solutions.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Healthcare Diagnosis Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis 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: 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 examination of the current state of vendors in the Artificial Intelligence in Healthcare Diagnosis Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. 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 this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Healthcare Diagnosis Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Advanced Micro Devices, Inc, Aidence B.V., Aidoc Medical Ltd., Amazon Web Services, Inc., Apixo, Inc., Appinventiv Technologies Pvt. Ltd., Arterys Inc., Butterfly Network, Inc., Caption Health, Inc., CloudMedx Inc., Day Zero Diagnostics Inc., Digital Diagnostics Inc., EchoNous Inc., Enlitic, Inc, GE HealthCare Technologies Inc., Google LLC, HeartFlow, Inc., Intel Corporation, International Business Machines Corporation, Koninkliike Philips N.V., Lunit Inc., Medtronic PLC, Microsoft Corporation, Nano-X Imaging Ltd., NovaSignal Corporation, Nvidia Corporation, Prognos Health Inc., Siemens Healthcare Private Limited, SolutionChamps Technologies Pvt. Ltd., and Sophia Genetics S A.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Artificial Intelligence in Healthcare Diagnosis Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Healthcare Diagnosis Market?
3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Healthcare Diagnosis Market?
4. What is the market share of the leading vendors in the Artificial Intelligence in Healthcare Diagnosis Market?
5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Healthcare Diagnosis Market?