
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
Description
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
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 Nestlé 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 Nestlé 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 Nestlé'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.
Scope of the Study
Market Segments covered in the Report:
By Delivery Type
- Cloud-based
- On-premise
- Chatbots
- NLP (Natural Language Processing)
- Computer Vision
- Outpatient Health Management
- In-patient Health Management
- Population Health Management
- Others
- Health & Wellness
- Chronic Disease Management
- Others
- Providers
- Payers
- Others
- Communication
- Administrative
- Patient Education
- Billing & Payments
- Health Tracking & Insights
- Others
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
- 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.
- American Well Corporation (Amwell)
- Exhaustive coverage
- Highest number of market tables and figures
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- Assured post sales research support with 10% customization free
Table of Contents
411 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Global AI In Patient Engagement Market, by Delivery Type
- 1.4.2 Global AI In Patient Engagement Market, by Technology
- 1.4.3 Global AI In Patient Engagement Market, by Application
- 1.4.4 Global AI In Patient Engagement Market, by Therapeutic Area
- 1.4.5 Global AI In Patient Engagement Market, by End-use
- 1.4.6 Global AI In Patient Engagement Market, by Functionality
- 1.4.7 Global AI In Patient Engagement Market, by Geography
- 1.5 Methodology for the research
- Chapter 2. Market at a Glance
- 2.1 Key highlights
- Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
- Chapter 4. Competition Analysis - Global
- 4.1 KBV Cardinal Matrix
- 4.2 Recent Industry Wide Strategic Developments
- 4.2.1 Partnerships, Collaborations and Agreements
- 4.2.2 Product Launches and Product Expansions
- 4.2.3 Acquisition and Mergers
- 4.2.4 Geographical Expansion
- 4.3 Market Share Analysis, 2022
- 4.4 Top Winning Strategies
- 4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
- 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements : 2019, Oct – 2023, Oct) Leading Players
- 4.5 Porter’s Five Forces Analysis
- Chapter 5. Global AI In Patient Engagement Market by Delivery Type
- 5.1 Global Cloud-based Market by Region
- 5.2 Global On-premise Market by Region
- Chapter 6. Global AI In Patient Engagement Market by Technology
- 6.1 Global Chatbots Market by Region
- 6.2 Global NLP (Natural Language Processing) Market by Region
- 6.3 Global Computer Vision Market by Region
- Chapter 7. Global AI In Patient Engagement Market by Application
- 7.1 Global Outpatient Health Management Market by Region
- 7.2 Global In-patient Health Management Market by Region
- 7.3 Global Population Health Management Market by Region
- 7.4 Global Others Market by Region
- Chapter 8. Global AI In Patient Engagement Market by Therapeutic Area
- 8.1 Global Health & Wellness Market by Region
- 8.2 Global Chronic Disease Management Market by Region
- 8.3 Global Others Market by Region
- Chapter 9. Global AI In Patient Engagement Market by End-use
- 9.1 Global Providers Market by Region
- 9.2 Global Payers Market by Region
- 9.3 Global Others Market by Region
- Chapter 10. Global AI In Patient Engagement Market by Functionality
- 10.1 Global Communication Market by Region
- 10.2 Global Administrative Market by Region
- 10.3 Global Patient Education Market by Region
- 10.4 Global Billing & Payments Market by Region
- 10.5 Global Health Tracking & Insights Market by Region
- 10.6 Global Others Market by Region
- Chapter 11. Global AI In Patient Engagement Market by Region
- 11.1 North America AI In Patient Engagement Market
- 11.1.1 North America AI In Patient Engagement Market by Delivery Type
- 11.1.1.1 North America Cloud-based Market by Region
- 11.1.1.2 North America On-premise Market by Region
- 11.1.2 North America AI In Patient Engagement Market by Technology
- 11.1.2.1 North America Chatbots Market by Country
- 11.1.2.2 North America NLP (Natural Language Processing) Market by Country
- 11.1.2.3 North America Computer Vision Market by Country
- 11.1.3 North America AI In Patient Engagement Market by Application
- 11.1.3.1 North America Outpatient Health Management Market by Country
- 11.1.3.2 North America In-patient Health Management Market by Country
- 11.1.3.3 North America Population Health Management Market by Country
- 11.1.3.4 North America Others Market by Country
- 11.1.4 North America AI In Patient Engagement Market by Therapeutic Area
- 11.1.4.1 North America Health & Wellness Market by Country
- 11.1.4.2 North America Chronic Disease Management Market by Country
- 11.1.4.3 North America Others Market by Country
- 11.1.5 North America AI In Patient Engagement Market by End-use
- 11.1.5.1 North America Providers Market by Country
- 11.1.5.2 North America Payers Market by Country
- 11.1.5.3 North America Others Market by Country
- 11.1.6 North America AI In Patient Engagement Market by Functionality
- 11.1.6.1 North America Communication Market by Country
- 11.1.6.2 North America Administrative Market by Country
- 11.1.6.3 North America Patient Education Market by Country
- 11.1.6.4 North America Billing & Payments Market by Country
- 11.1.6.5 North America Health Tracking & Insights Market by Country
- 11.1.6.6 North America Others Market by Country
- 11.1.7 North America AI In Patient Engagement Market by Country
- 11.1.7.1 US AI In Patient Engagement Market
- 11.1.7.1.1 US AI In Patient Engagement Market by Delivery Type
- 11.1.7.1.2 US AI In Patient Engagement Market by Technology
- 11.1.7.1.3 US AI In Patient Engagement Market by Application
- 11.1.7.1.4 US AI In Patient Engagement Market by Therapeutic Area
- 11.1.7.1.5 US AI In Patient Engagement Market by End-use
- 11.1.7.1.6 US AI In Patient Engagement Market by Functionality
- 11.1.7.2 Canada AI In Patient Engagement Market
- 11.1.7.2.1 Canada AI In Patient Engagement Market by Delivery Type
- 11.1.7.2.2 Canada AI In Patient Engagement Market by Technology
- 11.1.7.2.3 Canada AI In Patient Engagement Market by Application
- 11.1.7.2.4 Canada AI In Patient Engagement Market by Therapeutic Area
- 11.1.7.2.5 Canada AI In Patient Engagement Market by End-use
- 11.1.7.2.6 Canada AI In Patient Engagement Market by Functionality
- 11.1.7.3 Mexico AI In Patient Engagement Market
- 11.1.7.3.1 Mexico AI In Patient Engagement Market by Delivery Type
- 11.1.7.3.2 Mexico AI In Patient Engagement Market by Technology
- 11.1.7.3.3 Mexico AI In Patient Engagement Market by Application
- 11.1.7.3.4 Mexico AI In Patient Engagement Market by Therapeutic Area
- 11.1.7.3.5 Mexico AI In Patient Engagement Market by End-use
- 11.1.7.3.6 Mexico AI In Patient Engagement Market by Functionality
- 11.1.7.4 Rest of North America AI In Patient Engagement Market
- 11.1.7.4.1 Rest of North America AI In Patient Engagement Market by Delivery Type
- 11.1.7.4.2 Rest of North America AI In Patient Engagement Market by Technology
- 11.1.7.4.3 Rest of North America AI In Patient Engagement Market by Application
- 11.1.7.4.4 Rest of North America AI In Patient Engagement Market by Therapeutic Area
- 11.1.7.4.5 Rest of North America AI In Patient Engagement Market by End-use
- 11.1.7.4.6 Rest of North America AI In Patient Engagement Market by Functionality
- 11.2 Europe AI In Patient Engagement Market
- 11.2.1 Europe AI In Patient Engagement Market by Delivery Type
- 11.2.1.1 Europe Cloud-based Market by Country
- 11.2.1.2 Europe On-premise Market by Country
- 11.2.2 Europe AI In Patient Engagement Market by Technology
- 11.2.2.1 Europe Chatbots Market by Country
- 11.2.2.2 Europe NLP (Natural Language Processing) Market by Country
- 11.2.2.3 Europe Computer Vision Market by Country
- 11.2.3 Europe AI In Patient Engagement Market by Application
- 11.2.3.1 Europe Outpatient Health Management Market by Country
- 11.2.3.2 Europe In-patient Health Management Market by Country
- 11.2.3.3 Europe Population Health Management Market by Country
- 11.2.3.4 Europe Others Market by Country
- 11.2.4 Europe AI In Patient Engagement Market by Therapeutic Area
- 11.2.4.1 Europe Health & Wellness Market by Country
- 11.2.4.2 Europe Chronic Disease Management Market by Country
- 11.2.4.3 Europe Others Market by Country
- 11.2.5 Europe AI In Patient Engagement Market by End-use
- 11.2.5.1 Europe Providers Market by Country
- 11.2.5.2 Europe Payers Market by Country
- 11.2.5.3 Europe Others Market by Country
- 11.2.6 Europe AI In Patient Engagement Market by Functionality
- 11.2.6.1 Europe Communication Market by Country
- 11.2.6.2 Europe Administrative Market by Country
- 11.2.6.3 Europe Patient Education Market by Country
- 11.2.6.4 Europe Billing & Payments Market by Country
- 11.2.6.5 Europe Health Tracking & Insights Market by Country
- 11.2.6.6 Europe Others Market by Country
- 11.2.7 Europe AI In Patient Engagement Market by Country
- 11.2.7.1 Germany AI In Patient Engagement Market
- 11.2.7.1.1 Germany AI In Patient Engagement Market by Delivery Type
- 11.2.7.1.2 Germany AI In Patient Engagement Market by Technology
- 11.2.7.1.3 Germany AI In Patient Engagement Market by Application
- 11.2.7.1.4 Germany AI In Patient Engagement Market by Therapeutic Area
- 11.2.7.1.5 Germany AI In Patient Engagement Market by End-use
- 11.2.7.1.6 Germany AI In Patient Engagement Market by Functionality
- 11.2.7.2 UK AI In Patient Engagement Market
- 11.2.7.2.1 UK AI In Patient Engagement Market by Delivery Type
- 11.2.7.2.2 UK AI In Patient Engagement Market by Technology
- 11.2.7.2.3 UK AI In Patient Engagement Market by Application
- 11.2.7.2.4 UK AI In Patient Engagement Market by Therapeutic Area
- 11.2.7.2.5 UK AI In Patient Engagement Market by End-use
- 11.2.7.2.6 UK AI In Patient Engagement Market by Functionality
- 11.2.7.3 France AI In Patient Engagement Market
- 11.2.7.3.1 France AI In Patient Engagement Market by Delivery Type
- 11.2.7.3.2 France AI In Patient Engagement Market by Technology
- 11.2.7.3.3 France AI In Patient Engagement Market by Application
- 11.2.7.3.4 France AI In Patient Engagement Market by Therapeutic Area
- 11.2.7.3.5 France AI In Patient Engagement Market by End-use
- 11.2.7.3.6 France AI In Patient Engagement Market by Functionality
- 11.2.7.4 Russia AI In Patient Engagement Market
- 11.2.7.4.1 Russia AI In Patient Engagement Market by Delivery Type
- 11.2.7.4.2 Russia AI In Patient Engagement Market by Technology
- 11.2.7.4.3 Russia AI In Patient Engagement Market by Application
- 11.2.7.4.4 Russia AI In Patient Engagement Market by Therapeutic Area
- 11.2.7.4.5 Russia AI In Patient Engagement Market by End-use
- 11.2.7.4.6 Russia AI In Patient Engagement Market by Functionality
- 11.2.7.5 Spain AI In Patient Engagement Market
- 11.2.7.5.1 Spain AI In Patient Engagement Market by Delivery Type
- 11.2.7.5.2 Spain AI In Patient Engagement Market by Technology
- 11.2.7.5.3 Spain AI In Patient Engagement Market by Application
- 11.2.7.5.4 Spain AI In Patient Engagement Market by Therapeutic Area
- 11.2.7.5.5 Spain AI In Patient Engagement Market by End-use
- 11.2.7.5.6 Spain AI In Patient Engagement Market by Functionality
- 11.2.7.6 Italy AI In Patient Engagement Market
- 11.2.7.6.1 Italy AI In Patient Engagement Market by Delivery Type
- 11.2.7.6.2 Italy AI In Patient Engagement Market by Technology
- 11.2.7.6.3 Italy AI In Patient Engagement Market by Application
- 11.2.7.6.4 Italy AI In Patient Engagement Market by Therapeutic Area
- 11.2.7.6.5 Italy AI In Patient Engagement Market by End-use
- 11.2.7.6.6 Italy AI In Patient Engagement Market by Functionality
- 11.2.7.7 Rest of Europe AI In Patient Engagement Market
- 11.2.7.7.1 Rest of Europe AI In Patient Engagement Market by Delivery Type
- 11.2.7.7.2 Rest of Europe AI In Patient Engagement Market by Technology
- 11.2.7.7.3 Rest of Europe AI In Patient Engagement Market by Application
- 11.2.7.7.4 Rest of Europe AI In Patient Engagement Market by Therapeutic Area
- 11.2.7.7.5 Rest of Europe AI In Patient Engagement Market by End-use
- 11.2.7.7.6 Rest of Europe AI In Patient Engagement Market by Functionality
- 11.3 Asia Pacific AI In Patient Engagement Market
- 11.3.1 Asia Pacific AI In Patient Engagement Market by Delivery Type
- 11.3.1.1 Asia Pacific Cloud-based Market by Country
- 11.3.1.2 Asia Pacific On-premise Market by Country
- 11.3.2 Asia Pacific AI In Patient Engagement Market by Technology
- 11.3.2.1 Asia Pacific Chatbots Market by Country
- 11.3.2.2 Asia Pacific NLP (Natural Language Processing) Market by Country
- 11.3.2.3 Asia Pacific Computer Vision Market by Country
- 11.3.3 Asia Pacific AI In Patient Engagement Market by Application
- 11.3.3.1 Asia Pacific Outpatient Health Management Market by Country
- 11.3.3.2 Asia Pacific In-patient Health Management Market by Country
- 11.3.3.3 Asia Pacific Population Health Management Market by Country
- 11.3.3.4 Asia Pacific Others Market by Country
- 11.3.4 Asia Pacific AI In Patient Engagement Market by Therapeutic Area
- 11.3.4.1 Asia Pacific Health & Wellness Market by Country
- 11.3.4.2 Asia Pacific Chronic Disease Management Market by Country
- 11.3.4.3 Asia Pacific Others Market by Country
- 11.3.5 Asia Pacific AI In Patient Engagement Market by End-use
- 11.3.5.1 Asia Pacific Providers Market by Country
- 11.3.5.2 Asia Pacific Payers Market by Country
- 11.3.5.3 Asia Pacific Others Market by Country
- 11.3.6 Asia Pacific AI In Patient Engagement Market by Functionality
- 11.3.6.1 Asia Pacific Communication Market by Country
- 11.3.6.2 Asia Pacific Administrative Market by Country
- 11.3.6.3 Asia Pacific Patient Education Market by Country
- 11.3.6.4 Asia Pacific Billing & Payments Market by Country
- 11.3.6.5 Asia Pacific Health Tracking & Insights Market by Country
- 11.3.6.6 Asia Pacific Others Market by Country
- 11.3.7 Asia Pacific AI In Patient Engagement Market by Country
- 11.3.7.1 China AI In Patient Engagement Market
- 11.3.7.1.1 China AI In Patient Engagement Market by Delivery Type
- 11.3.7.1.2 China AI In Patient Engagement Market by Technology
- 11.3.7.1.3 China AI In Patient Engagement Market by Application
- 11.3.7.1.4 China AI In Patient Engagement Market by Therapeutic Area
- 11.3.7.1.5 China AI In Patient Engagement Market by End-use
- 11.3.7.1.6 China AI In Patient Engagement Market by Functionality
- 11.3.7.2 Japan AI In Patient Engagement Market
- 11.3.7.2.1 Japan AI In Patient Engagement Market by Delivery Type
- 11.3.7.2.2 Japan AI In Patient Engagement Market by Technology
- 11.3.7.2.3 Japan AI In Patient Engagement Market by Application
- 11.3.7.2.4 Japan AI In Patient Engagement Market by Therapeutic Area
- 11.3.7.2.5 Japan AI In Patient Engagement Market by End-use
- 11.3.7.2.6 Japan AI In Patient Engagement Market by Functionality
- 11.3.7.3 India AI In Patient Engagement Market
- 11.3.7.3.1 India AI In Patient Engagement Market by Delivery Type
- 11.3.7.3.2 India AI In Patient Engagement Market by Technology
- 11.3.7.3.3 India AI In Patient Engagement Market by Application
- 11.3.7.3.4 India AI In Patient Engagement Market by Therapeutic Area
- 11.3.7.3.5 India AI In Patient Engagement Market by End-use
- 11.3.7.3.6 India AI In Patient Engagement Market by Functionality
- 11.3.7.4 South Korea AI In Patient Engagement Market
- 11.3.7.4.1 South Korea AI In Patient Engagement Market by Delivery Type
- 11.3.7.4.2 South Korea AI In Patient Engagement Market by Technology
- 11.3.7.4.3 South Korea AI In Patient Engagement Market by Application
- 11.3.7.4.4 South Korea AI In Patient Engagement Market by Therapeutic Area
- 11.3.7.4.5 South Korea AI In Patient Engagement Market by End-use
- 11.3.7.4.6 South Korea AI In Patient Engagement Market by Functionality
- 11.3.7.5 Singapore AI In Patient Engagement Market
- 11.3.7.5.1 Singapore AI In Patient Engagement Market by Delivery Type
- 11.3.7.5.2 Singapore AI In Patient Engagement Market by Technology
- 11.3.7.5.3 Singapore AI In Patient Engagement Market by Application
- 11.3.7.5.4 Singapore AI In Patient Engagement Market by Therapeutic Area
- 11.3.7.5.5 Singapore AI In Patient Engagement Market by End-use
- 11.3.7.5.6 Singapore AI In Patient Engagement Market by Functionality
- 11.3.7.6 Malaysia AI In Patient Engagement Market
- 11.3.7.6.1 Malaysia AI In Patient Engagement Market by Delivery Type
- 11.3.7.6.2 Malaysia AI In Patient Engagement Market by Technology
- 11.3.7.6.3 Malaysia AI In Patient Engagement Market by Application
- 11.3.7.6.4 Malaysia AI In Patient Engagement Market by Therapeutic Area
- 11.3.7.6.5 Malaysia AI In Patient Engagement Market by End-use
- 11.3.7.6.6 Malaysia AI In Patient Engagement Market by Functionality
- 11.3.7.7 Rest of Asia Pacific AI In Patient Engagement Market
- 11.3.7.7.1 Rest of Asia Pacific AI In Patient Engagement Market by Delivery Type
- 11.3.7.7.2 Rest of Asia Pacific AI In Patient Engagement Market by Technology
- 11.3.7.7.3 Rest of Asia Pacific AI In Patient Engagement Market by Application
- 11.3.7.7.4 Rest of Asia Pacific AI In Patient Engagement Market by Therapeutic Area
- 11.3.7.7.5 Rest of Asia Pacific AI In Patient Engagement Market by End-use
- 11.3.7.7.6 Rest of Asia Pacific AI In Patient Engagement Market by Functionality
- 11.4 LAMEA AI In Patient Engagement Market
- 11.4.1 LAMEA AI In Patient Engagement Market by Delivery Type
- 11.4.1.1 LAMEA Cloud-based Market by Country
- 11.4.1.2 LAMEA On-premise Market by Country
- 11.4.2 LAMEA AI In Patient Engagement Market by Technology
- 11.4.2.1 LAMEA Chatbots Market by Country
- 11.4.2.2 LAMEA NLP (Natural Language Processing) Market by Country
- 11.4.2.3 LAMEA Computer Vision Market by Country
- 11.4.3 LAMEA AI In Patient Engagement Market by Application
- 11.4.3.1 LAMEA Outpatient Health Management Market by Country
- 11.4.3.2 LAMEA In-patient Health Management Market by Country
- 11.4.3.3 LAMEA Population Health Management Market by Country
- 11.4.3.4 LAMEA Others Market by Country
- 11.4.4 LAMEA AI In Patient Engagement Market by Therapeutic Area
- 11.4.4.1 LAMEA Health & Wellness Market by Country
- 11.4.4.2 LAMEA Chronic Disease Management Market by Country
- 11.4.4.3 LAMEA Others Market by Country
- 11.4.5 LAMEA AI In Patient Engagement Market by End-use
- 11.4.5.1 LAMEA Providers Market by Country
- 11.4.5.2 LAMEA Payers Market by Country
- 11.4.5.3 LAMEA Others Market by Country
- 11.4.6 LAMEA AI In Patient Engagement Market by Functionality
- 11.4.6.1 LAMEA Communication Market by Country
- 11.4.6.2 LAMEA Administrative Market by Country
- 11.4.6.3 LAMEA Patient Education Market by Country
- 11.4.6.4 LAMEA Billing & Payments Market by Country
- 11.4.6.5 LAMEA Health Tracking & Insights Market by Country
- 11.4.6.6 LAMEA Others Market by Country
- 11.4.7 LAMEA AI In Patient Engagement Market by Country
- 11.4.7.1 Brazil AI In Patient Engagement Market
- 11.4.7.1.1 Brazil AI In Patient Engagement Market by Delivery Type
- 11.4.7.1.2 Brazil AI In Patient Engagement Market by Technology
- 11.4.7.1.3 Brazil AI In Patient Engagement Market by Application
- 11.4.7.1.4 Brazil AI In Patient Engagement Market by Therapeutic Area
- 11.4.7.1.5 Brazil AI In Patient Engagement Market by End-use
- 11.4.7.1.6 Brazil AI In Patient Engagement Market by Functionality
- 11.4.7.2 Argentina AI In Patient Engagement Market
- 11.4.7.2.1 Argentina AI In Patient Engagement Market by Delivery Type
- 11.4.7.2.2 Argentina AI In Patient Engagement Market by Technology
- 11.4.7.2.3 Argentina AI In Patient Engagement Market by Application
- 11.4.7.2.4 Argentina AI In Patient Engagement Market by Therapeutic Area
- 11.4.7.2.5 Argentina AI In Patient Engagement Market by End-use
- 11.4.7.2.6 Argentina AI In Patient Engagement Market by Functionality
- 11.4.7.3 UAE AI In Patient Engagement Market
- 11.4.7.3.1 UAE AI In Patient Engagement Market by Delivery Type
- 11.4.7.3.2 UAE AI In Patient Engagement Market by Technology
- 11.4.7.3.3 UAE AI In Patient Engagement Market by Application
- 11.4.7.3.4 UAE AI In Patient Engagement Market by Therapeutic Area
- 11.4.7.3.5 UAE AI In Patient Engagement Market by End-use
- 11.4.7.3.6 UAE AI In Patient Engagement Market by Functionality
- 11.4.7.4 Saudi Arabia AI In Patient Engagement Market
- 11.4.7.4.1 Saudi Arabia AI In Patient Engagement Market by Delivery Type
- 11.4.7.4.2 Saudi Arabia AI In Patient Engagement Market by Technology
- 11.4.7.4.3 Saudi Arabia AI In Patient Engagement Market by Application
- 11.4.7.4.4 Saudi Arabia AI In Patient Engagement Market by Therapeutic Area
- 11.4.7.4.5 Saudi Arabia AI In Patient Engagement Market by End-use
- 11.4.7.4.6 Saudi Arabia AI In Patient Engagement Market by Functionality
- 11.4.7.5 South Africa AI In Patient Engagement Market
- 11.4.7.5.1 South Africa AI In Patient Engagement Market by Delivery Type
- 11.4.7.5.2 South Africa AI In Patient Engagement Market by Technology
- 11.4.7.5.3 South Africa AI In Patient Engagement Market by Application
- 11.4.7.5.4 South Africa AI In Patient Engagement Market by Therapeutic Area
- 11.4.7.5.5 South Africa AI In Patient Engagement Market by End-use
- 11.4.7.5.6 South Africa AI In Patient Engagement Market by Functionality
- 11.4.7.6 Nigeria AI In Patient Engagement Market
- 11.4.7.6.1 Nigeria AI In Patient Engagement Market by Delivery Type
- 11.4.7.6.2 Nigeria AI In Patient Engagement Market by Technology
- 11.4.7.6.3 Nigeria AI In Patient Engagement Market by Application
- 11.4.7.6.4 Nigeria AI In Patient Engagement Market by Therapeutic Area
- 11.4.7.6.5 Nigeria AI In Patient Engagement Market by End-use
- 11.4.7.6.6 Nigeria AI In Patient Engagement Market by Functionality
- 11.4.7.7 Rest of LAMEA AI In Patient Engagement Market
- 11.4.7.7.1 Rest of LAMEA AI In Patient Engagement Market by Delivery Type
- 11.4.7.7.2 Rest of LAMEA AI In Patient Engagement Market by Technology
- 11.4.7.7.3 Rest of LAMEA AI In Patient Engagement Market by Application
- 11.4.7.7.4 Rest of LAMEA AI In Patient Engagement Market by Therapeutic Area
- 11.4.7.7.5 Rest of LAMEA AI In Patient Engagement Market by End-use
- 11.4.7.7.6 Rest of LAMEA AI In Patient Engagement Market by Functionality
- Chapter 12. Company Profiles
- 12.1 Oracle Corporation (Cerner Corporation)
- 12.1.1 Company Overview
- 12.1.2 Financial Analysis
- 12.1.3 Segmental and Regional Analysis
- 12.1.4 Research & Development Expense
- 12.1.5 Recent strategies and developments:
- 12.1.5.1 Partnerships, Collaborations, and Agreements:
- 12.1.6 SWOT Analysis
- 12.2 Nuance Communications, Inc. (Microsoft Corporation)
- 12.2.1 Company Overview
- 12.2.2 Financial Analysis
- 12.2.3 Segmental and Regional Analysis
- 12.2.4 Research & Development Expenses
- 12.2.5 Recent strategies and developments:
- 12.2.5.1 Partnerships, Collaborations, and Agreements:
- 12.2.5.2 Product Launches and Product Expansions:
- 12.2.5.3 Acquisition and Mergers:
- 12.2.6 SWOT Analysis
- 12.3 Health Catalyst, Inc.
- 12.3.1 Company Overview
- 12.3.2 Financial Analysis
- 12.3.3 Segmental Analysis
- 12.3.4 Research & Development Expenses
- 12.3.5 Recent strategies and developments:
- 12.3.5.1 Partnerships, Collaborations, and Agreements:
- 12.3.5.2 Acquisition and Mergers:
- 12.3.6 SWOT Analysis
- 12.4 F. Hoffmann-La Roche Ltd.
- 12.4.1 Company Overview
- 12.4.2 Financial Analysis
- 12.4.3 Segmental and Regional Analysis
- 12.4.4 Research & Development Expense
- 12.4.5 Recent strategies and developments:
- 12.4.5.1 Partnerships, Collaborations, and Agreements:
- 12.4.5.2 Geographical Expansions:
- 12.4.6 SWOT Analysis
- 12.5 Ada Health GmbH
- 12.5.1 Company Overview
- 12.5.2 Recent strategies and developments:
- 12.5.2.1 Acquisition and Mergers:
- 12.5.3 SWOT Analysis
- 12.6 Lark Technologies, Inc.
- 12.6.1 Company Overview
- 12.6.2 SWOT Analysis
- 12.7 Upfront Healthcare Services (PatientBond)
- 12.7.1 Company Overview
- 12.7.2 Recent strategies and developments:
- 12.7.2.1 Partnerships, Collaborations, and Agreements:
- 12.7.2.2 Acquisition and Mergers:
- 12.7.3 SWOT Analysis
- 12.8 Infermedica Sp. z o.o.
- 12.8.1 Company Overview
- 12.8.2 Recent strategies and developments:
- 12.8.2.1 Product Launches and Product Expansions:
- 12.9 Aiva, Inc.
- 12.9.1 Company Overview
- 12.9.2 Recent strategies and developments:
- 12.9.2.1 Partnerships, Collaborations, and Agreements:
- 12.10. American Well Corporation (Amwell)
- 12.10.1 Company Overview
- 12.10.2 Financial Analysis
- 12.10.3 Research & Development Expenses
- 12.10.4 Recent strategies and developments:
- 12.10.4.1 Partnerships, Collaborations, and Agreements:
- 12.10.5 SWOT Analysis
- Chapter 13. Winning Imperatives of AI In Patient Engagement Market
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