市場調查報告書
商品編碼
1434318
醫療診斷市場中的人工智慧:按組件、技術、應用和最終用戶分類 - 2024-2030 年全球預測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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預計2023年人工智慧醫療診斷市場規模為21億美元,預計2024年將達25.3億美元,2030年將達80.8億美元,複合年成長率為21.23%。
醫療診斷領域人工智慧的全球市場
主要市場統計 | |
---|---|
基準年[2023] | 21億美元 |
預測年份 [2024] | 25.3億美元 |
預測年份 [2030] | 80.8億美元 |
複合年成長率(%) | 21.23% |
醫療診斷中的人工智慧使用機器學習等技術來處理和分析與醫療診斷相關的資料。人工智慧 (AI) 在醫療保健診斷中的使用正在增加,因為它可以快速處理大量資料、識別模式並比醫生更快地做出更準確的診斷。人工智慧和機器人技術在醫療保健領域的日益普及、醫學的變革以及政府和私營部門對人工智慧的投資加速,正在推動人工智慧在醫療保健診斷中的使用。然而,對訓練有素的專業人員、人工智慧專業知識的需求,以及在醫院和診所使用人工智慧的資料隱私問題,阻礙了人工智慧的全部潛力。為了克服這些限制,新興市場正在專注開拓影像診斷和隱私保護的人工智慧技術。醫療診斷中的人工智慧可以幫助醫療保健專業人員做出更明智的決策,同時節省時間、降低成本並改善醫療記錄管理。
區域洞察
預計歐洲人工智慧在醫療診斷中的使用將顯著增加,其特點是醫療診斷技術的不斷進步以及公共醫療機構利用人工智慧的努力。在中東,沙烏地阿拉伯、阿拉伯聯合大公國、以色列等智慧醫院的建設不斷增多,增加了人工智慧在疾病診斷中的應用潛力。美洲有許多成熟的人工智慧技術供應商,他們不斷致力於擴展他們的醫療保健知識,以升級他們現有的產品組合。基於人工智慧的診斷設備和系統在美國和加拿大廣泛使用,可以更快地即時獲得結果。在亞太地區,人工智慧在醫療保健診斷領域的應用進展緩慢,許多數位轉型舉措、醫療保健新興企業和診斷實驗室為突破性診斷解決方案獲得了新資金,並且正在穩步成長。
FPNV定位矩陣
FPNV 定位矩陣對於評估醫療診斷市場的人工智慧至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對醫療診斷市場人工智慧供應商的現狀進行深入而深入的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。這種詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1-市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2-市場開拓:我們深入研究利潤豐厚的新興市場,並分析它們在成熟細分市場中的滲透率。
3- 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4-競爭力評估與資訊:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況、製造能力等進行全面評估。
5- 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1-醫療診斷市場人工智慧的市場規模和預測是多少?
2-在醫療診斷市場人工智慧的預測期內,有哪些產品、細分市場、應用程式和領域需要考慮投資?
3-醫療診斷市場人工智慧的技術趨勢和法律規範是什麼?
4-醫療診斷市場人工智慧主要供應商的市場佔有率是多少?
5-進入人工智慧醫療診斷市場的合適型態和策略手段是什麼?
[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?