AI in patient engagement – market size in 2029
Let us look at the recent changes and trends in this domain.
In the past few years, there has been a prominent rise when it comes to the market size in terms of AI in patient engagement. The market, which happened to be valued at almost $7.70 billion in 2024, is anticipated to touch somewhere around $9.35 billion in 2025, thereby reflecting a CAGR of around 22%. This kind of market expansion during the historical period can be traced back to elements like elevated patient interaction, growth in terms of demand for custom-made healthcare, growing utilization when it comes to wearable technology, more stress on patient-centric care, data protection protocols that are enhanced, and a surge in terms of chronic disease cases.
It is well to be noted that the market size for AI in patient engagement is anticipated to go through phenomenal increase in the years to come. It is expected to rise to $20.6 billion in 2029 at a CAGR of 22%. This kind of projected growth in the forecast period can be attributed to the speeding up of integration of AI in healthcare systems, the rapid expansion when it comes to telehealth services, more focus on remote patient tracking, consistent progression of chatbots related to AI, and a boom within health data analytics.
Some of the major trends that further throttle this growth encompass the usage of AI for predictive analytics within patient care, incorporation of AI within electronic health record (EHR) systems, consistent technological advancements within AI, healthcare solutions that are personalized, and growth in natural language processing (NLP).
AI in the patient engagement market –Â what are the co-factors that are driving the expansion?
The growth and demand when it comes to personalized healthcare options is also set to drive the expansion when it comes to AI in patient engagement. These kinds of customized treatments, which are otherwise called personalized medicine, happen to factor in a person’s prior medical history, certain given situations, diagnostic tests, as well as genetic data. AI, apparently, gets utilized within the patient engagement so as to refine these healthcare solutions by making use of data evaluation and machine learning in order to customize the healthcare strategies and, at the same time, forecast the results of the patient and even fine-tune the care plans, which are in line with the genetics of the individual, the lifestyle, and also certain clinical aspects.
It is well to be noted that in 2022, the Personalized Medicine Coalition, which happens to be a US group that advocates for innovators, patients, and scientists, went on to report that the FDA’s Center for Drug Evaluation and Research (CDER) gave the green light to 37 novel molecular entities (NMEs).
Notably, out of 37, 35 were therapeutic, and 12 of them were classified as customized medicine as per the personalized medicine collection (PMC). Because of this, there was an increased demand for customized medical services, which has been fueling the growth of AI in patient engagement sector.
AI in patient engagement – How is the market structured across segments?
The AI in patient engagement market, which has been covered in the report, happens to be segmented by way of –
– Technology, which is chatbot, computer vision, and natural language processing (NLP).
– Delivery type, which is cloud-based or on-premise.
– Therapeutic area, which includes health and wellness, as well as chronic disease management.
– In terms of applications, which include outpatient health management, population health management, inpatient health management, as well as other applications.
– End use that includes the likes of providers, players, as well as certain other end uses.
What would be the subsegments of it?
- By chatbot, it would include virtual health assistance, symptom checkers, as well as appointment scheduling bots.
- By natural language processing, it will have sentiment analysis, applications, voice recognition systems, and text analysis tools.
- By computer vision, it’ll include patient monitoring systems, image evaluation for diagnostics, and augmented reality for medical training.
What are the innovation trends that are going to redefine the AI in patient engagement market spectrum?
It is well to be noted that top firms in the AI patient engagement market are indeed going ahead and creating cutting-edge products by way of using advanced technologies such as AI patient engagement tools in order to stay ahead of the curve. These innovations are transforming healthcare by way of helping with customized treatment recommendations, automated patient tracking, and intelligent virtual health assistance, which offer improved clinical outcomes along with patient satisfaction.
These kinds of tools are AI-assisted patient engagement features, which elevate communication, deliver customized care, and, at the same time, engage patients in a very active way so as to manage their health. For instance, in October 2023, ZS Associates, which happens to be a management consulting firm based out of the US, went on to introduce the ZAIDYN connected health solution, which was an all-inclusive patient engagement platform that incorporated AI-powered virtual assistance, customized messaging, and also actionable intelligence in order to elevate the care and experience of patients. This kind of platform was developed in order to help healthcare institutions to scale their personal support throughout all care points and make sure that patients get relevant information and even resources in no time.
What are the locations where the AI in patient engagement market happens to be experiencing the fastest regional growth?
In 2024, North America happened to be the largest region in the AI in patient engagement market. There is no shred of doubt when we say that Asia Pacific is anticipated to be the fastest-growing region within the forecast period. The regions that are covered in the AI in patient engagement report are Western Europe, Asia Pacific, Eastern Europe, North America, the Middle East, South America, and Africa.
