AI in Oncology for Analytical Solutions Market Report 2025

This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The AI in patient engagement market size has grown exponentially in recent years. It will grow from $7.67 billion in 2024 to $9.34 billion in 2025 at a compound annual growth rate (CAGR) of 21.8%. The growth in the historic period can be attributed to improved patient communication, rising demand for personalized healthcare, growing adoption of wearable devices, increased focus on patient-centered care, enhanced data security measures, rising chronic disease incidences.

The AI in patient engagement market size is expected to see exponential growth in the next few years. It will grow to $20.6 billion in 2029 at a compound annual growth rate (CAGR) of 21.8%. The growth in the forecast period can be attributed to accelerated integration of AI in healthcare systems, expansion of telehealth services, increased emphasis on remote patient monitoring, continued development of AI-powered chatbots, surge in health data analytics. Major trends in the forecast period include adoption of AI for predictive analytics in patient care, integration of AI in electronic health records (EHR) systems, ongoing technological innovations in AI, personalized healthcare solutions, advancements in natural language processing (NLP).

The increasing demand for personalized healthcare solutions is anticipated to drive the growth of AI in the patient engagement market in the coming years. Personalized healthcare solutions, also known as personalized medicine, involve tailored medical treatments and preventive care strategies that take into account an individual's medical history, diagnostic testing, circumstances, and genetic information. AI plays a crucial role in patient engagement within the context of personalized healthcare solutions by employing data analysis and machine learning. This enables the customization of treatments, prediction of patient outcomes, and optimization of care plans based on individual factors such as genetics, lifestyle, and clinical history. In 2022, the Food and Drug Administration's Center for Drug Evaluation and Research (CDER) approved 37 new molecular entities (NMEs), out of which 35 were therapeutic. Notably, 12 of these therapeutic NMEs were classified as personalized medicines by the Personalized Medicine Coalition (PMC). This highlights the growing significance of personalized healthcare solutions and their role in driving the adoption of AI in the patient engagement market.

Key players in the AI patient engagement market are actively developing innovative products that leverage advanced technologies, such as AI-powered patient engagement tools, to gain a competitive edge. AI-powered patient engagement tools are instrumental in enhancing communication, providing personalized care, and actively involving patients in managing their health. For instance, in October 2023, ZS Associates, a US-based management consulting services company, introduced the AI-powered ZAIDYN Connected Health solution. This comprehensive patient engagement platform integrates AI-powered virtual assistants, personalized messaging, and actionable insights to elevate patient care and experience. The platform is designed to help healthcare organizations scale personalized support across all points of care, ensuring that patients receive timely and relevant information and resources.

In July 2024, SAIGroup, a US-based enterprise AI investment firm, acquired Get Well for an undisclosed amount. This acquisition supports SAIGroup's strategy to enhance its footprint in AI-driven healthcare solutions. With the addition of Get Well to its portfolio, which also includes ConcertAI (focused on clinical AI and real-world data) and RhythmX AI (offering personalized care solutions), SAIGroup further solidifies its leadership in the sector. Get Well is a US-based provider of digital patient engagement solutions for healthcare organizations.

Major companies operating in the AI in patient engagement market report are ZS Associates, Health Catalyst, Viz.ai, Ada Health, Zocdoc, PathAI, Kyruus, Memora Health, HealthLoop, Qventus, Lark Health, Your.MD, Buoy Health, HealthTap, Welltok, Pillo Health, K Health, Mediktor, Clarify Health Solutions, Zebra Medical Vision, Sensely, Orbita, Ayasdi, Clinithink, WiserCare, Catalia Health, Conversa Health, Prevencio.

North America was the largest region in the AI in patient engagement market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in patient engagement market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the ai in patient engagement market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in patient engagement market includes revenues earned by entities by providing services such as patient recommendations, patient sentiments, patient payments, and electronic health record (EHR) analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in patient engagement market also includes sales of mobile devices, wearable devices, sensor devices, and smart home devices. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

AI in patient engagement refers to the utilization of artificial intelligence (AI) technologies to enhance patient care, improve patient experience, and foster health equity. AI can play a role in engaging patients through various means, including providing online support and education, automating reminders and alerts, delivering personalized health information, and analyzing patient data to identify trends and patterns to optimize healthcare delivery.

The main types of AI in patient engagement technologies are chatbots, natural language processing (NLP), and computer vision. Chatbots are AI-powered software applications designed to simulate conversation with human users, often via text or voice interfaces. These solutions can be delivered through both cloud-based and on-premises methods. The therapeutic areas where AI in patient engagement is applied include health and wellness, chronic disease management, and others. These technologies find applications in various areas, such as outpatient health management, inpatient health management, population health management, and others. The end-users include healthcare providers, payers, and other entities involved in patient care.

The AI in patient engagement market research report is one of a series of new reports that provides AI in patient engagement market statistics, including AI in patient engagement industry global market size, regional shares, competitors with a AI in patient engagement market share, detailed AI in patient engagement market segments, market trends and opportunities, and any further data you may need to thrive in the AI in patient engagement industry. This AI in patient engagement market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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