+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

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

  • PDF Icon

    Report

  • 411 Pages
  • November 2023
  • Region: Global
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5916861
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.

Cardinal Matrix - Market Competition Analysis

Based on the Analysis presented in the 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.

The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Partnerships & Collaborations.

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).

Strategies deployed in the Market

Partnerships, Collaborations & 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
By Technology
  • Chatbots
  • NLP (Natural Language Processing)
  • Computer Vision
By Application
  • Outpatient Health Management
  • In-patient Health Management
  • Population Health Management
  • Others
By Therapeutic Area
  • Health & Wellness
  • Chronic Disease Management
  • Others
By End-use
  • Providers
  • Payers
  • Others
By Functionality
  • Communication
  • Administrative
  • Patient Education
  • Billing & Payments
  • Health Tracking & Insights
  • Others
By Geography
  • 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

Key Market Players

List of Companies Profiled in the Report:

  • 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)

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

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 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

Companies Mentioned

  • 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)

Methodology

Loading
LOADING...