市场调查报告书
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2023-2030 年全球人工智慧 (AI) 医学写作市场Global Artificial Intelligence (AI) in Medical Writing Market 2023-2030 |
预计在预测期内(2023-2030 年),全球医学写作市场中的人工智慧将以 16.1% 的复合年增长率成长。医学写作中的人工智慧是一个高度专业化的领域,涵盖内容写作和临床研究的艺术和科学。它涉及结构良好的科学资源的製作,包括临床研究论文、医疗保健产业的网路内容、期刊和期刊等。与传统方法相比,人工智慧利用称为自然语言生成 (NLG) 的软体流程的功能,能够在显着缩短的时间内产生复杂的文件(从几週缩短到几天)。这种加速的生产时间表随后增加了提交和审批流程,使製药和通讯公司受益。这种效率提升成为支持全球市场成长的关键驱动力。
全球医学写作市场中的人工智慧按类型和最终用户进行细分。依类型,市场分为临床写作、类型写作、科学写作等。根据最终用户,市场细分为医疗器材、製药、生物技术等。其中,临床写作细分市场预计将占据相当大的市场份额。这种增长可归因于临床写作在医疗专业人员的日常实践中发挥的重要作用。熟练的临床作家必须对临床情况和所涉及的语言复杂性有全面的了解。临床试验数量的不断增加进一步加剧了这种情况,导致医学写作中对人工智慧驱动解决方案的需求激增。
在最终用户中,医药细分市场预计将在全球人工智慧医学写作市场中占据相当大的份额。此细分市场的成长归因于人工智慧在医疗领域的进步和精确度。这项进展促使製药业的重要参与者专注于在其组织内投资有效的人工智慧写作解决方案。许多公司也与人工智慧公司建立合作关係,这是进一步推动市场扩张的策略倡议。例如,2022 年 6 月,专门从事人工智慧和自然语言处理 (NLP) 的公司 Yesop 与赛诺菲合作,以增强安全报告的自动化。赛诺菲目前正在使用 Yseop 平台处理药品和疫苗使用案例,以加快临床试验檔案提交工作流程。
全球人工智慧医学写作市场根据地理位置进一步细分,包括北美(美国和加拿大)、欧洲(英国、义大利、西班牙、德国、法国和欧洲其他地区)、亚太地区(印度、中国) 、日本、韩国和亚洲其他地区)以及世界其他地区(中东和非洲以及拉丁美洲)。其中,由于医疗保健支出不断增加,加上对高效医疗保健解决方案的需求不断增长,预计亚太地区将在全球市场中占据显着份额。此外,中国、日本、韩国和印度等国家技术进步迅速,一直处于人工智慧技术进步的前沿。
在所有地区中,北美地区预计在预测期内将以相当大的复合年增长率成长。区域成长归因于监管标准的快速变化以及研发支出的不断增加,这也是由于医疗保健支出的增加和对高效医疗保健解决方案的需求。近年来,随着人工智慧技术的进步,包括自然语言处理(NLP)和机器学习(ML)等成功,製药业已开始从资料技术中获得更大的好处。人工智慧技术已经在临床试验中发挥实质作用,加快了研究进程,提高了结果的品质。 NLP 对于帮助从医疗保健生态系统中的资料宝库(例如医院资讯系统、保险索赔资料库等)中提取现实世界资料(RWD)非常有帮助。
因此,该国在采用人工智慧写作市场解决方案方面发生了重大转变。
Title: Global Artificial Intelligence (AI) in Medical Writing Market Size, Share & Trends Analysis Report by Type (Clinical Writing, Type Writing, Scientific Writing, and Others), and by End User (Medical Devices, Pharmaceutical, Biotechnology, and Others),Forecast Period (2023-2030).
The global AI in medical writing market is anticipated to grow at a CAGR of 16.1% during the forecast period (2023-2030). AI in medical writing is a highly specialized field that encompasses the art and science of content writing and clinical research. It involves the production of well-structured scientific resources including clinical research papers, web content for the healthcare industry, periodicals, and journals, among others. Employing the capabilities of a software process called as natural language generation (NLG), AI has the ability to produce complex documents in a significantly reduced timeframe compared to conventional methods (from weeks down to mere days). This accelerated production timeline subsequently increases the submissions and approval processes, benefiting both pharmaceutical and communication companies. This efficiency gain becomes a pivotal driver supporting the global market's growth.
The global AI in medical writing market is segmented on the type, and end user. Based on the type, the market is sub- segmented into clinical writing, type writing, scientific writing, and others. Based on the end user, the market is sub-segmented into medical devices, pharmaceutical, biotechnology and others. Among the type, the clinical writing sub-segment is anticipated to hold a considerable share of the market. This growth can be attributed to the essential role that clinical writing plays in the daily practices of medical professionals. A proficient clinical writer must possess a comprehensive understanding of both the clinical landscape and the language intricacies involved. The escalating number of clinical trials further contributes to this scenario, creating a surge in the requirement for AI-powered solutions in medical writing.
Among the end user, the pharmaceutical sub-segment is expected to hold a considerable share of the global AI in medical writing market. The segmental growth is attributed to the advancements and precision achieved by AI in medical treatments. This progress has pushed significant players in the pharmaceutical industry to focus on investing in effective AI writing solutions within their organizations. Many are also forging partnerships with AI-based firms, a strategic move that further propels the expansion of the market. For instance, in June 2022, Yesop, a company specializing in AI and Natural Language Processing (NLP), partnered with Sanofi to enhance the automation of safety reports. Sanofi is now using the Yseop platform for pharma and vaccine used cases in a push to expedite clinical trial dossier submission workflows.
The global AI in medical writing market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). Among these, the Asia-Pacific is anticipated to hold a prominent share of the market across the globe, owing to the rising expenditure in healthcare coupled with the growing demand for efficient healthcare solutions. Additionally, the rapid technological advancements in countries such as China, Japan, South Korea, and India have been at the forefront of technological advancements in AI.
Among all regions, the North America regions is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to Regulatory standards have changed quickly, and spending on research and development has been rising constantly, also due to rising healthcare expenditure and demand for efficient healthcare solutions. With the advancement of artificial intelligence technology in recent years, including successes like natural language processing (NLP) and machine learning (ML), the pharmaceuticals industry has begun to realize greater benefits from data technology. AI technologies are already playing a substantive role in clinical trials, speeding the process of research, and enhancing the quality of results. NLP is of great benefit to help extract real world data (RWD) from the treasure troves of data that are in healthcare ecosystems, such as hospital information systems, insurance claim databases, etc.
Hence, there is considerable shift of the country towards the adoption of the AI writing market solutions.
The major companies serving the AI in medical writing market include: Parexel International Corporation., Trilogy Writing & Consulting GmbH, Freyr, Cactus Communications, and GENINVO, and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in March 2022, Parexel International Corp. is applying AI technologies in clinical trials from the perspective of pharmacovigilance processes.