Global Artificial Intelligence Ai Based Clinical Trials Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2022 –2029 |
 Market Size (Base Year) |
USD 1.30 Billion |
 Market Size (Forecast Year) |
USD 5.55 Billion |
 CAGR |
% |
| Major Markets Players |
>全球基于人工智能 (AI) 的临床试验市场，按临床试验阶段（I 期、II 期、III 期）、应用（肿瘤学、心血管疾病、神经系统疾病或病症、传染病、其他）、最终用途（制药公司、学术界、其他）划分 - 行业趋势和预测至 2029 年
市场分析和规模
未来五年，基于人工智能 (AI) 的临床试验市场将增长 21.7%。预计基于人工智能的临床试验需求将很快出现强劲复苏，并在长期内实现良好增长。在不久的将来，基于人工智能 (AI) 的临床试验市场业务将带来丰厚的回报。
Data Bridge Market Research 分析认为，基于人工智能 (AI) 的临床试验市场在 2021 年的规模为 13 亿美元，到 2029 年将飙升至 55.5 亿美元，预计在 2022 年至 2029 年的预测期内复合年增长率为 19.90%。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、管道分析、定价分析和监管框架。
报告范围和市场细分
|
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 |
临床试验阶段（I 期、II 期、III 期）、应用（肿瘤学、心血管疾病、神经系统疾病或病症、传染病、其他）、最终用途（制药公司、学术界、其他） |
|
覆盖国家 |
北美洲的美国、加拿大和墨西哥、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、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、沙特阿拉伯、阿联酋、南非、埃及、以色列、中东和非洲 (MEA) 的其他地区、巴西、阿根廷和南美洲其他地区 |
|
涵盖的市场参与者 |
Phesi（印度）、CONSILX（新加坡）、DEEP LENS Inc.（美国）、Unlearn.AI, Inc.（美国）、Saama Technologies, LLC（美国）、Antidote Technologies, Inc.（英国）、Innoplexus（德国）、Mendel.ai（美国）、Median Technologies（法国）、Symphony AI（美国）、BioAge Labs, Inc.（美国）、AiCure（美国）、Halo Health Systems（美国） |
|
市场机会 |
人工智能还可用于减少医疗数据的偏见 制药公司正在临床试验中大量采用基于人工智能的技术 |
市场定义
Artificial intelligence can be used to identify disease, provide healthcare services, and even develop new treatments, while improving clinical trials. The scale and speed of AI are significantly superior to any system that depends just on human activity. In many ways, this will be the biggest problem moving forward because we haven't yet reached an AI level that can run totally autonomously.
Artificial Intelligence (AI)-based Clinical Trials Market Dynamics
Drivers
- Increasing research and development activities
In recent years, numerous organizations from the public and private sectors have increased their efforts to assist various R&D activities related to therapeutic fields. In the coming years, it is projected that this aspect would open up new growth opportunities in the market for for AI-based clinical trials.
- Technological developments
Several companies in the global market for AI-based clinical trials are making significant investments in R&D. The relocation is helping them with the tasks related to new product development and, ultimately, new product launch. The market for providers of AI-based clinical trials is anticipated to grow at a promising rate in the years to come as a result of these factors.
- Growing usage of AI-based platform
The growing usage of AI-based platforms is driving the market for AI-based clinical trials to enhance the efficiency and efficacy of trials at various stages. Some of the other reasons boosting the market expansion include the supportive activities by the governmental and private sectors for various therapeutic areas. Additionally, the market is being supported by the growing awareness of AI's applications in clinical trials, such as drug trial design, better patient selection, location selection, patient monitoring, etc.
Opportunities
AI can also be used to lessen the bias in medical data. For instance, Genentech and Stanford University worked together to develop an open-source AI system to combat bias in drug studies. Additionally, prominent pharmaceutical companies are heavily incorporating AI-based technologies in clinical trials, which is helping the market growth. This is owing to the trend of moving away from old procedures and toward technology-based approaches.
Restraints/Challenges
On the other hand, the high cost associated with drug development and distribution will obstruct the market's growth rate.
This Artificial Intelligence (AI)-based clinical trials 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 clinical trials 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 Artificial Intelligence (AI)-based Clinical Trials Market
The COVID-19 epidemic contributed to an increase in the use of AI-based technology. One reason for the rise in the use of AI-based drug research and drug trial solutions is the increasing adoption of technologically enhanced drug discovery and development solutions, as well as the analysis of recruited patient data. To improve clinical outcomes and reduce the cost and time needed for drug trials, pharmaceutical companies, CROs, and academics have switched their attention away from the conventional drug development process and toward the AI-based solution. Decentralized drug trials also saw a result of the COVID-19 trial suspensions, which led several major players to focus on gathering patient data.
Global Artificial Intelligence (AI)-based Clinical Trials Market Scope
The Artificial Intelligence (AI)-based clinical trials market is segmented on the basis of clinical trial phase, application and end-user. 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.
Clinical Trial Phase
- Phase-I
- Phase-II
- Phase-III
Application
- Oncology
- Cardiovascular Diseases
- Neurological Diseases or Conditions
- Infectious Diseases
- Others
End-user
- Pharmaceutical Companies
- Academia
- Others
Artificial Intelligence (AI)-based Clinical Trials Market Regional Analysis/Insights
The Artificial Intelligence (AI)-based clinical trials market is analysed and market size insights and trends are provided by country, clinical trial phase, application and end-user as referenced above.
人工智能（AI）临床试验市场报告涵盖的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、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、亚太地区（APAC）的沙特阿拉伯、阿联酋、南非、埃及、以色列、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。
北美在人工智能 (AI) 临床试验市场中占据主导地位。这一增长可归因于许多因素，包括该地区开展的临床试验数量的激增。
由于人工智能工具的普及率不断提高，以及政府对在不同医疗保健领域采用人工智能的有利举措，预计亚太地区将在预测期内呈现丰厚的增长。
报告的国家部分还提供了影响单个市场因素和国内市场监管变化，这些因素和变化会影响市场的当前和未来趋势。下游和上游价值链分析、技术趋势和波特五力分析、案例研究等数据点是用于预测单个国家市场情景的一些指标。此外，在提供国家数据的预测分析时，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或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。
医疗保健基础设施增长安装基础和新技术渗透
基于人工智能 (AI) 的临床试验市场还为您提供了每个国家/地区资本设备医疗保健支出增长、基于人工智能的临床试验市场不同类型产品的安装基数、使用生命线曲线的技术影响以及医疗保健监管情景的变化及其对基于人工智能 (AI) 的临床试验市场的影响的详细市场分析。数据适用于 2010-2020 年的历史时期。
竞争格局和基于人工智能 (AI) 的临床试验市场份额分析
基于人工智能 (AI) 的临床试验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) 的临床试验市场的关注有关。
人工智能（AI）临床试验市场的一些主要参与者包括：
- Phesi（印度）
- CONSILX（新加坡）
- DEEP LENS Inc.（美国）
- Unlearn.AI, Inc.（美国）
- Saama Technologies, LLC（美国）
- Antidote Technologies, Inc.（英国）
- Innoplexus（德国）
- Mendel.ai（美国）
- Median Technologies（法国）
- Symphony AI（美国）
- BioAge Labs, Inc.（美国）
- AiCure（美国）
- Halo Health Systems（美国）
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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
Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.
