市场调查报告书
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1395553
全球病人参与人工智慧市场规模、占有率和行业趋势分析报告:按交付类型、按技术、按应用、按治疗领域、按最终用途、按功能、按地区、展望和预测,2023-2030 年Global AI In Patient Engagement Market Size, Share & Industry Trends Analysis Report By Delivery Type, By Technology, By Application, By Therapeutic Area, By End-use (Providers, Payers), By Functionality, By Regional Outlook and Forecast, 2023 - 2030 |
到 2030 年,全球病人参与人工智慧市场规模预计将达到 224 亿美元,预测期内市场复合年增长率为 22.3%。
根据 KBV Cardinal 矩阵中发布的分析,Nuance Communications(微软)在该市场处于领先。 2021 年 5 月,Nuance Communications 扩大了与 Athenahealth, Inc. 的合作,将云端基础的Dragon Medical 整合到 AthenaOne EHR 和行动应用程式中。这种整合旨在为 AthenaOne Dictation 用户提供无缝、语音主导的体验,减少临床医生的文件时间和工作量,并改善患者体验。 Cerner Corporation、F. Hoffmann-La Roche Ltd. 和 American Well Corporation (Amwell) 等公司是该市场的主要创新者。
市场成长要素
人工智慧在医疗领域的全球采用
为了最大限度地提高收益潜力,医疗保健公司已经在人工智慧技术上进行了大量投资。他们正在部署技术来完成各种业务,包括用于患者照护、规划、想像和预测性维护的聊天机器人。随着人工智慧在医疗产业承担更多业务,公司预计将看到重大变化和效率提高。当前人工智慧投资和研究热潮导致人工智慧应用快速成长。这些应用程式声称不仅可以改善业务成果,还可以改善人们的生活品质。如此多的大公司和新兴企业正在将人工智慧融入患者互动的事实表明,这是一个重要的扩展领域。人工智慧在病人参与中的应用正在全球扩展,并且是一个不断增长的市场,并得到许多国家政府的支持。
开发大型复杂的医学资料库
例如,医疗领域中的大型复杂资料(也称为巨量资料)包括点选流、网路和社交媒体互动、感测器、心电图 (ECG)、X 光、脉搏血氧计读数和医疗设备。申请记录、电子健康记录(EMR)、处方笺、生物辨识资讯等。当今的大量资料有潜力支持医学和医学领域的广泛工作。先进的分析、机器学习和人工智慧技术利用这些资料来支援临床决策、提供优质的患者照护、即时响应紧急情况并拯救更多的生命。它正在出现许多机会将其转化为重要且可操作的数据见解。因此,使用人工智慧等技术从复杂的资料库中获取见解正在支援病人参与工具中对人工智慧的需求。
市场抑制因素
缺乏高品质的医疗资料
然而,为了对人工智慧模型进行临床和技术检验,临床医生需要存取高品质的资料。然而,由于医疗资料分散在多个 EHR 和 IT 平台上,因此很难收集患者资料和图像来测试机器学习演算法。主要问题是不容易取得适当的资料。为了使使用机器学习和深度学习的模型能够准确地分类和预测各种任务,它们需要巨大的资料。机器学习产生越来越准确和复杂演算法的能力在易于存取大量资料集的行业中是最先进的。与多模态学习相反,一些现代演算法可能能够在单模态或更小的规模上运行。此外,越来越多地使用云端基础的伺服器可以缓解储存不断增长的资料的逆问题。
产品类型的前景
根据交付类型,市场分为云端基础和本地市场。在2022年的市场中,本地模型获得了很大的销售占有率。选择本地解决方案的用户可以完全控制和拥有其资料和应用程序,从而提高隐私等级。此外,企业可以选择资料的使用、储存和分发方式。其结果是在开展业务时有更大的自由和自主权来遵守当地法律、政策和服务条款。
技术展望
依技术划分,市场分为 NLP(自然语言处理)、聊天机器人和电脑视觉。 2022 年,聊天机器人产业的收益占有率最大。聊天机器人能够即时提供自动化的患者联繫,正在改变医疗保健行业并成为市场的主导力量。由于聊天机器人具有 24 小时可访问性、快速响应以及管理从安排预约到传播健康资讯一切事务的多功能性,因此对于希望改善患者体验、加快流程和提高病人参与的医疗保健提供者来说是必备的.这是最好的选择。
应用前景
依应用,市场分为人口健康管理、住院健康管理、门诊病人健康管理等。在2022年的市场中,人口健康管理细分市场录得可观的收益占有率。卫生专业人员必须无缝协作和沟通,以有效管理人口健康。安全聊天和综合 HER 系统即时更新等功能促进了医生、护士和支援负责人之间更好的协作。这确保了所有医务人员都按照相同的蓝图工作并追求相同的目标。
治疗领域展望
依治疗领域,市场分为健康与保健、慢性病管理等。 2022年,慢性病管理领域占据了市场最大的销售占有率。有几个因素促成了该行业在慢性病管理市场的强势地位。其中包括主要市场的高龄化、慢性病的增加以及COVID-19大流行的影响,所有这些都在加速数位技术的采用。
最终用途展望
根据最终用途,市场分为付款人、医疗保健提供者等。 2022 年,支付领域的市场将获得可观的成长率。此细分市场主要是由于患者和客户参与方案的接受度不断提高而推动的,这些解决方案有助于提供价值主导的医疗保健服务并实现全面的覆盖。为了支持这种增长,付款人计划在治疗过程的每阶段监控患者护理并与患者建立关係。
特点展望
市场区隔按功能分为通讯、健康追踪和洞察、申请和支付、管理、病患教育等。在2022年的市场中,健康追踪和洞察领域将占据很大的收益占有率。人工智慧驱动的工具和小工具可以持续追踪患者的健康参数和习惯,并为患者和医疗保健专业人员产生有洞察力的资料,从而定义了这个市场。这些技术包括即时资料分析和预测功能,可实现主动医疗干预、个体化治疗计划和增强的患者互动。
区域展望
从区域来看,我们对北美、欧洲、亚太地区和拉丁美洲地区的市场进行了分析。 2022年,北美地区将占据市场最大的收益占有率份额。由于重要的行业参与企业、电子健康记录(EHR) 和行动医疗(行动医疗)系统的使用不断增加,以及知名公司对病人参与软体的重大投资,该区域市场正在不断增长。政府支出的增加和医疗产业相关人员意识的提高预计也将加速这一扩张。
The Global AI In Patient Engagement Market size is expected to reach $22.4 billion by 2030, rising at a market growth of 22.3% CAGR during the forecast period.
Secure AI-enabled chatbots integrated into the billing software can use account data and previous interactions to provide individualized patient help when needed. Consequently, the billing and payments segment captured $564.7 Million revenue in the market in 2022. Increasing billing accuracy guarantees that patients are accurately billed for the services received, which lowers the need for customer support and payment delays. Practice management software with AI capabilities can effectively collect and modify details about patients, removing human data entry errors and guaranteeing correct patient information. By recognizing past due amounts, creating customized payment reminders, and providing patients with simple payment options, AI can enhance payment collection tactics. Some of the factors impacting the market are adoption of ai in healthcare sector globally, development of huge and complex healthcare databases and lack of high-quality medical data.
The major strategies followed by the market participants are Partnerships, Collaborations & Agreements as the key developmental strategy to keep pace with the changing demands of end users. For instance, In October, 2023, American Well Corporation partnered with Nestle Health Science, for digital health programs, launching the Advanced Surgical Nutrition Automated Care Program in the U.S. Additionally, In May, 2023, Roche UK, a subsidiary of F. Hoffmann-La Roche Ltd., partnered with Nye Health, digital health technology company, to co-create adaptive digital solutions, integrating information from smartphones, wearables, and medical records for a comprehensive view of patients' health outside traditional clinical settings.
Based on the Analysis presented in the KBV Cardinal matrix; Nuance Communications, Inc. (Microsoft Corporation) is the forerunners in the Market. In, May, 2021, Nuance Communications extended collaboration with Athenahealth, Inc., to integrate its cloud-based Dragon Medical into the AthenaOne EHR and Mobile App. The integration aimed to provide a seamless, voice-driven experience for AthenaOne Dictation users, reducing documentation time and workload for clinicians and enhancing patient experiences. Companies such as Cerner Corporation, F. Hoffmann-La Roche Ltd. and American Well Corporation (Amwell) are some of the key innovators in the Market.
Market Growth Factors
Adoption of AI in healthcare sector globally
To maximize their revenue potential, healthcare companies are already making significant investments in AI technologies. They implement technology to carry out various duties, such as chatbots for patient care, planning, imagining, and predictive maintenance. Businesses may expect significant changes and increased efficiency as AI takes on more and more duties in the healthcare industry. The current boom in AI investment and research has resulted in a rapid increase in AI applications. These apps claim to improve not only business results but also the quality of life for people. The fact that so many large corporations and start-ups are embracing AI in patient interaction indicates that this is a significant area for expansion. The use of AI in patient engagement is spreading worldwide, and governments of many nations are supporting it, therefore, it is a growing market.
Development of huge and complex healthcare databases
For instance, large-scale and intricate data, also referred to as big data, in the healthcare sector includes clickstream and web and social media interactions; sensor, electrocardiogram (ECG), X-ray, and pulse oximeter readings; medical device readings; claims for healthcare and other billing records; electronic health records (EMRs), prescriptions, as well as biometric data, among other types of information. Today's enormous amount of data has the potential to support a broad range of healthcare and medical jobs. Advanced analytics, machine learning, and AI techniques are emerging along with many opportunities to turn this data into significant and actionable insights to support clinical decision-making, deliver high-quality patient care, respond to emergencies in real-time, and save more lives. Therefore, using technologies like AI to drive insights from complex databases supports the demand for AI in patient engagement tools.
Market Restraining Factors
Lack of high-quality medical data
However, for both clinical and technical verification of AI models, clinicians need access to high-quality datasets. However, gathering patient data and imaging to test machine learning algorithms becomes difficult because medical data is fragmented across multiple EHRs and IT platforms. The main issue is that pertinent data is not easily accessible. For models using machine learning and deep learning to accurately categorize or predict a broad range of tasks, massive datasets are necessary. Industries with simple access to massive datasets have seen the biggest advancements in machine learning's capacity to produce increasingly accurate and sophisticated algorithms. In contrast to multimodal learning, certain contemporary algorithms might be able to function on a unimodal or smaller scale, and the growing use of cloud-based servers might mitigate the inverse issue of storing these always-growing datasets.
Delivery Type Outlook
Based on delivery type, the market is bifurcated into cloud-based and on-premises. The on-premises segment garnered a significant revenue share in the market in 2022. Users who choose on-premises solutions enjoy complete control and ownership over their data and apps, which provides an elevated level of privacy. Additionally, businesses can choose how to use, store, and distribute the data. As a result, they have greater freedom and autonomy to adhere to local laws, policies, and terms and conditions when conducting business.
Technology Outlook
On the basis of technology, the market is divided into NLP (natural language processing), chatbots, and computer vision. The chatbots segment recorded the largest revenue share in the market in 2022. With their ability to provide real-time, automated patient contacts, chatbots have become a dominant force in the market, transforming the healthcare sector. As a result of their round-the-clock accessibility, prompt responses, and versatility in managing everything from scheduling appointments to disseminating health information, they are a go-to option for healthcare providers seeking to improve patient experiences, expedite procedures, and increase patient engagement.
Application Outlook
On the basis of application, the market is divided into population health management, in-patient health management, outpatient health management, and others. The population health management segment registered a substantial revenue share in the market in 2022. Healthcare professionals must collaborate and communicate seamlessly to manage population health effectively. Better collaboration between doctors, nurses, and support personnel is encouraged by features like secure chat and real-time updates with a comprehensive HER system. This guarantees that all members of the medical staff are operating from the same blueprint and pursuing the same objectives.
Therapeutic Area Outlook
Based on therapeutic area, the market is categorized into health & wellness, chronic disease management, and others. The chronic disease management segment procured the largest revenue share in the market in 2022. Several factors contribute to the segment's sizeable presence in the chronic illness management market. Among these are the aging populations in major markets, the rise in chronic illnesses, and the COVID-19 pandemic's effects, which have sped up the adoption of digital technologies.
End-use Outlook
By end-use, the market is segmented into payers, providers, and others. The payers segment acquired a considerable growth rate in the market in 2022. The segment has grown largely due to the growing acceptance of patient and customer engagement solutions, which promote the supply of value-driven healthcare services and enable comprehensive coverage. Payers plan to monitor patient care and build relationships with patients at every stage of their treatment process to support this growth.
Functionality Outlook
By functionality, the market is segmented into communication, health tracking & insights, billing & payments, administrative, patient education, and others. The health tracking and insights segment witnessed a significant revenue share in the market in 2022. AI-powered tools and gadgets that continuously track patients' health parameters and habits and produce insightful data for patients and healthcare professionals define this market. These technologies include real-time data analysis and forecasting capabilities, which enable proactive healthcare interventions, individualized treatment plans, and enhanced patient interaction.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region witnessed the maximum revenue share in the market in 2022. The regional market is expanding because of the participation of significant industry players, the growing use of electronic health recorder (EHR) and mHealth (mobile health) systems, and the sizeable investments made in patient engagement software by well-known businesses. Increased government spending in the healthcare industry and high levels of stakeholder awareness are also expected to accelerate this expansion.
The market research report covers the analysis of key stake holders of the market. Cerner Corporation, Nuance Communications, Inc., Health Catalyst, Inc., F. Hoffmann-La Roche Ltd., Ada Health GmbH, Lark Technologies, Inc., Upfront Healthcare Services, Infermedica Sp. z o.o., Aiva, Inc. and American Well Corporation (Amwell).
Recent Strategies Deployed in AI In Patient Engagement Market
Partnerships, Collaborations, and Agreements:
Oct-2023: American Well Corporation partnered with Nestle Health Science, a leader in the field of nutritional science, for digital health programs, launching the Advanced Surgical Nutrition Automated Care Program in the U.S. It combined Amwell's virtual companion service with Nestle's recovery drink for patients undergoing major elective surgery, offering digital education, progress evaluation, and clinician intervention.
May-2023: Roche UK, a subsidiary of F. Hoffmann-La Roche Ltd., partnered with Nye Health, digital health technology company, to co-create adaptive digital solutions, integrating information from smartphones, wearables, and medical records for a comprehensive view of patients' health outside traditional clinical settings.
May-2022: Nuance Communications, Inc. teamed up with The Health Management Academy, a community made up of healthcare's most influential changemakers, to establish The AI Collaborative, an industry group dedicated to advancing healthcare through artificial intelligence and machine learning. Leveraging Nuance's expertise and Microsoft's global cloud ecosystems, the collaboration aimed to accelerate innovation and deploy solutions more efficiently across various industries, addressing customers' pressing challenges on a larger scale.
Apr-2023: Aiva, Inc. partnered with Vibe Health by eVideon, integrating voice assistants into the Vibe Health platform to create a contactless smart room in hospitals. This collaboration aimed to enhance labor efficiency and patient experience by allowing voice-assisted technology to handle basic patient needs, freeing up clinicians from ancillary tasks.
Mar-2023: American Well Corporation teamed up with DarioHealth Corp., a global digital therapeutics leader, to offer its cardiometabolic solution to Amwell customers. This integration aimed to enhance the member journey by providing Dario's cardiometabolic solution within Amwell's comprehensive portfolio of care solutions and clinician network.
Jul-2022: Health Catalyst, Inc. partnered with LifePoint Health, a healthcare delivery network with 63 community hospital campuses. The collaboration aimed to utilize Health Catalyst's technology to reduce clinical outcome variation, enhance overall care quality, and strengthen LifePoint's data and analytics capabilities for its National Quality Program.
May-2022: Health Catalyst, Inc. partnered with RAI Digital, a multinational consulting firm addressing regional concerns in the Middle East. The collaboration aimed to scale Health Catalyst's data and analytics technology across Saudi Arabia, the United Arab Emirates, and Qatar, expanding potential customers through RAI Digital's reach.
Mar-2022: American Well Corporation collaborated with LG Electronics, a subsidiary of LG Corporation, to develop digital health devices, beginning with U.S. hospital care. LG created devices to host services from Amwell's virtual care platform, Converge, as part of the partnership.
Dec-2021: Roche signed a Memorandum of Understanding (MoU) with Microsoft Corporation, a leader in health and technology, to enhance healthcare outcomes using artificial intelligence (AI) and cloud technology. The collaboration aimed to explore AI solutions for early diagnosis, innovation, and optimizing the patient journey beyond treatment.
Jul-2021: Upfront Healthcare Services and Firstsource Solutions Limited, a global provider of Business Process Management (BPM) services, collaborated to offer personalized patient navigation, addressing challenges like medication adherence and reducing gaps in care. This partnership aimed to alleviate patient communication fatigue, contributing to improved health outcomes and reduced healthcare costs.
May-2021: Nuance Communications extended collaboration with Athenahealth, Inc., a developer of cloud-based practice management, point-of-care mobile applications, and EHR systems, to integrate its cloud-based Dragon Medical into the AthenaOne EHR and Mobile App. The integration aimed to provide a seamless, voice-driven experience for AthenaOne Dictation users, reducing documentation time and workload for clinicians and enhancing patient experiences.
Feb-2021: F. Hoffmann-La Roche Ltd. partnered with PatchAi, a stand-alone software that consists of a mobile app for patients and a web control panel, to introduce a digital solution, PatchAi for Smart Health Companion (SHC), incorporating a virtual assistant that engages oncology patients through empathic AI-driven conversations. The solution focused on enhancing self-management with features like daily diary tracking, adherence management, and generating real-world evidence through conversational reported outcomes.
Oct-2020: Cerner Corporation collaborated with Induction Healthcare, a leading healthcare technology company that helps healthcare professionals, enhancing the healthcare experience for patients and professionals. The partnership with Zesty aimed to streamline processes, showcasing Cerner's dedication to innovation and improving outcomes for individuals.
Sep-2020: American Well Corporation extended its collaboration with Tyto Care, the healthcare industry's first all-in-one modular device and examination platform for AI-powered, introducing exclusive integrations and enhanced workflows for virtual patient examinations on the Amwell platform. Additionally, Amwell also became a reseller of Tyto Care's integrated devices.
Aug-2020: Cerner Corporation partnered with Amazon, an American multinational technology company, to facilitate the acquisition of patient-generated health data from Amazon Halo wearables. The collaboration allowed data to flow through the AWS Cloud into Cerner's EHR and other technologies, improving accessibility for medical providers.
Jul-2020: Cerner Corporation expanded its collaboration with Nuance Communications, integrating Nuance's virtual assistant into the Cerner Millennium electronic health record. This enhanced integration allowed joint clients to use advanced natural language virtual assistant technology, enabling clinicians to navigate the EHR using voice commands and improving patient-clinician interaction.
Product Launches and Product Expansions:
Mar-2023: Nuance Communications, Inc. launched Dragon Ambient eXperience (DAX) Express, a fully automated clinical documentation app integrating conversational and ambient AI, powered by OpenAI's GPT-4. A continuation of the Dragon Medical portfolio, DAX Express aimed to reduce administrative tasks, empowering clinicians to focus more on patient care and less on paperwork.
Jul-2022: Infermedica Sp. z o.o. launched its Medical Guidance Platform, incorporating new modules and features to support the entire patient-care journey. Utilizing clinically validated technology, the platform aimed to deliver personalized care from initial symptoms to post-visit communication and treatment. Infermedica's solutions, developed in collaboration with customers and partners, have been utilized by over 10 million people worldwide.
Jun-2021: Infermedica Sp. z o.o. introduced a pediatrics solution for preliminary diagnosis and triage of infants, toddlers, and children, extending primary healthcare recommendations from birth and offering family support. Additionally, the solution is accessible globally in 18 languages, which has led to an expanded geographical presence in other regions.
Jan-2021: Nuance Communications, Inc. introduced an AI-powered virtual assistant for a unified healthcare experience across various platforms. The platform, designed to modernize clinical care and boost patient engagement, integrated with key health systems, including electronic health records (EHR), customer relationship management (CRM) systems, and patient access center systems.
Jan-2020: Infermedica Sp. z o.o. expanded its reach to the Middle East and beyond by introducing an Arabic version of its diagnostic technology. This made the AI-powered symptom checker accessible to millions worldwide. The Arabic language was incorporated into all Infermedica's products, including Symptom Checker, Call Center Triage, and Medical API, following their initial offerings in various languages.
Acquisition and Mergers:
Apr-2023: Ada Health GmbH acquired dhiOmics, a technology start-up operating with the aim of solving real-world business problems, to establish a global data and AI delivery hub, bolstering digital transformation capabilities. The hub utilized customer data platforms, marketing cloud, and customer engagement platforms, with specialized teams in data engineering, artificial intelligence, machine learning (AI/ML), and cloud infrastructure, enabling ADA to deliver to global clients with increased scale and speed.
Aug-2022: Upfront acquired PatientBond, a healthcare consumer science leader, consolidating into a single enterprise technology solution for patient acquisition and loyalty. This acquisition accelerated Upfront's next-generation personalization platform, combining with PatientBond's consumer insights to enhance patient-provider relationships, resulting in improved acquisition, retention, and overall experience.
Feb-2022: Health Catalyst, Inc. intended to acquire KPI Ninja, an interoperability and population health vendor. The companies aimed to enhance speed and cost efficiency for customers seeking data-driven insights.
Jun-2021: Health Catalyst, Inc. entered into a definitive agreement to acquire Twistle, Inc., an Albuquerque, New Mexico-based healthcare patient engagement SaaS technology company. Through this acquisition Health Catalyst expanded geographical expansion with the addition of Twistle. Additionally, Twistle creates vital software for engaged healthcare experiences in organizations.
Feb-2021: Nuance Communications, Inc. acquired Saykara, Inc., a fellow startup specializing in mobile AI assistants. This acquisition reinforced Nuance's leadership in conversational AI and ambient clinical intelligence solutions, with a focus on reducing clinician burnout, enhancing patient experiences, and improving health system financial integrity.
Geographical Expansions:
Oct-2022: Roche Pharma, a subsidiary of F. Hoffmann-La Roche Ltd., established the Global Analytics and Technology Center of Excellence (GATE) in India, marking it as the second center in the country. Additionally, the center collaborated with Roche's global affiliates to enhance knowledge in the healthcare space, contributing to improved customer engagement, patient experience, and business outcomes.
Market Segments covered in the Report:
By Delivery Type
By Technology
By Application
By Therapeutic Area
By End-use
By Functionality
By Geography
Companies Profiled
Unique Offerings from KBV Research