Global Ai Based Critical Care Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2022 –2029 |
 Market Size (Base Year) |
USD 7.00 Billion |
 Market Size (Forecast Year) |
USD 58.16 Billion |
 CAGR |
% |
| Major Markets Players |
基于全球人工智能 (AI) 的重症监护市场，通过提供（硬件、软件、服务）、技术（机器学习、上下文感知计算、自然语言处理、计算机视觉、语音识别、查询方法）、应用（健康监测、数字咨询、虚拟护士、精准医疗、药物创造、医疗保健系统分析、药物管理等）– 行业趋势和预测到 2029 年。
全球基于人工智能（AI）的重症监护市场分析和规模
预计基于人工智能 (AI) 的重症监护市场将在预测期内实现显着增长。在医疗保健行业，人工智能用于研究治疗方法与患者结果之间的关系。医疗保健中的人工智能在药物研究、治疗方案和药物管理方面有多种用途。它用于诊断、定制药物、药物开发和患者护理监测等医疗程序。医疗保健对人工智能的需求主要由医疗保健人工智能市场的增长以及数据集及其数量的复杂性所驱动。
Data Bridge Market Research 分析了 2022-2029 年预测期内基于人工智能 (AI) 的重症监护市场的增长率。在上述预测期内，基于人工智能 (AI) 的重症监护市场的预期复合年增长率约为 30.30%。2021 年市场价值为 70 亿美元，到 2029 年将增长至 581.6 亿美元。除了市场价值、增长率、细分市场、地理覆盖范围、市场参与者和市场情景等市场洞察外，Data Bridge Market Research 团队策划的市场报告还包括深入的专家分析、患者流行病学、渠道分析、定价分析和监管框架。
市场定义
人工智能被定义为一种智能系统，它使用生物学、计算机科学、数学、语言学、心理学和工程学等领域的众多基于人类智能的功能。这些功能包括推理、学习和解决问题的能力。医疗行业的人工智能使用算法和软件来评估复杂的医疗数据。
全球基于人工智能（AI）的重症监护市场范围和细分
|
报告指标 |
细节 |
|
预测期 |
2022 至 2029 年 |
|
基准年 |
2021 |
|
历史岁月 |
2020（可定制为 2014 - 2019） |
|
定量单位 |
收入（单位：十亿美元）、销量（单位：台）、定价（美元） |
|
涵盖的领域 |
By Offering (Hardware, Software, Services), Technology (Machine Learning, Context-Aware Computing, Natural Language Processing, Computer Vision, Speech Recognition, Querying Method), Application (Health Monitoring, Digital Consultation, Virtual Nurses, Precision Medicine, Drug Creation, Healthcare System Analysis, Medication Management, Others) |
|
Countries Covered |
U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America |
|
Market Players Covered |
Nvidia Corporation (U.S.), IBM (U.S.), AiCure (U.S.), iCarbonX (China), Cyrcadia Health Inc. (U.S.), Atomwise, Inc. (U.S.), Pathway (U.S.)., SOPHiA GENETICS (Switzerland), Apixio, Inc. (U.S.), General Vision, Inc.(U.S.), Microsoft (U.S.), Intel Corporation (U.S.), DeepMind Technologies Limited (U.K.) |
|
Market Opportunities |
|
Global Artificial Intelligence (AI) Based Critical Care Market Dynamics
Drivers
- Emergence of New Innovative Technologies
The emergence of advanced hardware systems that help improve the efficiency and effectiveness of AI software is expected to drive market growth in the hardware segment. For instance, in 2016 Nvidia improved the efficiency of deep learning and introduced GPUs that are 20 to 50 times more efficient than CPUs.
- Government Initiatives
Government-backed initiatives, increased investment from private investors and venture capitalists, and the emergence of AI-focused start-ups around the world are driving market growth.
Opportunities
- Latest Developments
AI-based technology has seen significant growth in acceptance and dramatic growth. As the newest developments increases, the need for these AI based techniques increases. For instance, in August 2017, Penn Medicine developed a predictive solution using machine learning. In this solution, the system helps the system analyze a person's vital signs, predict the risk of sepsis, and identify the possibility of heart failure.
- Aids in Clinical Research
AI-based technology in clinical trials is rapidly gaining adoption. It is expected to boost market growth by reducing the time it takes to conduct clinical trials and improving the accuracy and reliability of clinical trials. This is expected to boost the chromatin immunoprecipitation sequencing market during the forecast period.
Restraints/Challenges
- Lack of skilled professionals
The lack of qualified personnel who are unable to use these AI techniques could curb the growth of the global AI based critical care market over a forecast period.
- High Cost
High cost of these techniques can hinder the growth of the global AI based critical care market even though the prevalence of the diseases are high.
This artificial intelligence (AI) based critical care market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the artificial intelligence (AI) based critical care market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
COVID-19 Impact on Global Artificial Intelligence (AI) Based Critical Care Market
Considering the present scenario, COVID-19 has left an unprecedented global public health crisis that has impacted practically every business. Its long-term repercussions are expected to influence industry growth during the forecast period.
The adoption of AI technologies is being driven by the growing need for healthcare providers, the need to reduce the rising costs of healthcare, the demand for value-based care, and the growing need to accurately and quickly diagnose and detect underlying health conditions in order to provide the best treatment plan as soon as possible.
Global Artificial Intelligence (AI) Based Critical Care Market Scope
The artificial intelligence (AI) based critical care market is segmented on the basis of offering, technology, and application. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Offering
- Hardware
- Software
- Services
Technology
- Machine Learning
- Context-Aware Computing
- Natural Language Processing
- Computer Vision
- Speech Recognition
- Querying Method
Application
- Health Monitoring
- Digital Consultation
- Virtual Nurses
- Precision Medicine
- Drug Creation
- Healthcare System Analysis
- Medication Management
- Others
Artificial Intelligence (AI) Based Critical Care Market Regional Analysis/Insights
The artificial intelligence (AI) based critical care market is analysed and market size insights and trends are provided by offering, technology, and application as referenced above.
基于人工智能（AI）的重症监护市场报告涉及的主要国家 包括北美的美国、加拿大和墨西哥、欧洲的德国、法国、英国、荷兰、瑞士、比利时、俄罗斯、意大利、西班牙、土耳其、欧洲其他地区、亚太地区（APAC）的中国、日本、印度、韩国、新加坡、马来西亚、澳大利亚、泰国、印度尼西亚、菲律宾、亚太地区（APAC）的其他地区、中东和非洲（MEA）的其他地区、南美洲的巴西、阿根廷和南美洲其他地区。
由于医疗保健 IT 基础设施的进步、护理费用的不断增长、技术的广泛采用、政府的有利举措以及多家主要市场参与者的存在，北美成为主导市场。
预计亚太地区将因 IT 基础设施和专门从事基于人工智能技术的创业企业的快速创新和发展而实现增长。
报告的国家部分还提供了影响市场当前和未来趋势的各个市场影响因素和国内市场监管变化。此外，在提供国家数据预测分析时，还考虑了全球品牌的存在和可用性以及它们因来自本地和国内品牌的激烈竞争或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。
竞争格局和基于人工智能 (AI) 的全球重症监护市场份额分析
基于人工智能 (AI) 的重症监护市场竞争格局提供了竞争对手的详细信息。详细信息包括公司概况、公司财务状况、产生的收入、市场潜力、研发投资、新市场计划、全球影响力、生产基地和设施、生产能力、公司优势和劣势、产品发布、产品宽度和广度、应用主导地位。以上提供的数据点仅与公司对基于人工智能 (AI) 的重症监护市场的关注有关
基于人工智能（AI）的重症监护市场的主要参与者包括：
- Nvidia 公司 (美国)
- IBM（美国）
- AiCure（美国）
- 碳云智能 (中国)
- Cyrcadia Health Inc.（美国）
- Atomwise, Inc.（美国）
- 途径（美国）
- SOPHiA GENETICS（瑞士）
- Apixio, Inc.（美国）
- General Vision, Inc.（美国）
- 微软 (美国)
- 英特尔公司（美国）
- DeepMind Technologies Limited（英国）
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研究方法
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
可定制
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