Steve Rey
Steve Rey
2 hours ago
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AI In Patient Engagement Market Share to Witness Significant Revenue Growth

The global AI in patient engagement market size was estimated at USD 6.08 billion in 2023 and is projected to reach USD 23.1 billion by 2030, growing at a CAGR of 21.2% from 2024 to 2030.

AI In Patient Engagement Market Summary

The global AI in patient engagement market size was estimated at USD 6.08 billion in 2023 and is projected to reach USD 23.1 billion by 2030, growing at a CAGR of 21.2% from 2024 to 2030. This strong growth trajectory reflects the increasing reliance on advanced digital technologies across the healthcare ecosystem. The expanding adoption of digital platforms by healthcare providers and pharmaceutical companies is enabling more efficient interactions with patients. In addition, the growing need for an omnichannel approach, which allows patients to engage seamlessly across multiple touchpoints such as mobile apps, web portals, and virtual assistants, is further accelerating market growth. The increasing role of artificial intelligence in enhancing pharmacy efficiency and managing complex supply chain operations is also contributing significantly, as AI helps streamline workflows, reduce errors, and improve overall service delivery.

Moreover, the ongoing shift toward patient-centered care models and the rising number of initiatives undertaken by public and private organizations are supporting market expansion. Healthcare systems are increasingly focusing on improving patient satisfaction, adherence, and outcomes, which has led to higher demand for AI-driven patient engagement solutions. The growing need for personalized treatment plans and customized healthcare experiences is expected to further drive AI adoption in patient engagement within the pharmaceutical and pharmacy sectors. Advancements in AI and big data analytics are making personalized medicine more achievable by enabling the analysis of large volumes of patient data, including genetic, lifestyle, and clinical information. These capabilities help identify the most effective treatment options, improve clinical outcomes, and reduce adverse effects. As a result, leading market players are actively integrating AI technologies into their patient engagement solutions to achieve better results. For example, in May 2023, Pfizer announced the integration of AI-driven solutions to develop personalized treatment plans based on genetic, lifestyle, and clinical data, thereby enhancing patient outcomes and engagement.

Key Market Trends & Insights

  • North America dominated the AI in patient engagement market with a revenue share of over 43.6% in 2023. This dominance can be attributed to the presence of advanced healthcare infrastructure, early adoption of digital health technologies, strong investments in AI research, and supportive regulatory frameworks across the region.
  • Asia Pacific is anticipated to register the fastest growth in the AI in patient engagement market over the forecast period. Factors such as rapid digitalization, increasing healthcare expenditure, growing patient population, and rising awareness about AI-based healthcare solutions are expected to drive market growth in this region.
  • Based on end use, the healthcare providers segment dominated the market, with the largest share of 38.3% in 2023. The widespread adoption of AI tools by hospitals, clinics, and care centers to improve patient communication, engagement, and care coordination has significantly contributed to this segment’s leading position.
  • In terms of functionality, the enhanced communication segment dominated the market, with the largest share of 25.8% in 2023. AI-powered communication tools, including chatbots, virtual assistants, and automated messaging systems, are increasingly being used to improve patient-provider interactions, appointment management, and follow-up care.
  • Based on technology, the natural language processing (NLP) segment dominated the market, with the largest share of 88.8% in 2023. NLP enables AI systems to understand, interpret, and respond to human language, making it a critical component of patient engagement solutions such as conversational interfaces, sentiment analysis, and clinical documentation support.

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Market Size & Forecast

  • 2023 Market Size: USD 6.08 Billion
  • 2030 Projected Market Size: USD 23.1 Billion
  • CAGR (2024-2030): 21.2%
  • North America: Largest market in 2023
  • Asia Pacific: Fastest growing market

Key Companies & Market Share Insights

The market is fragmented owing to the presence of several players. This is expected to intensify the competition in the coming years. Key companies are increasingly adopting strategies such as new product development, collaborations, and mergers & acquisitions to strengthen their market position. For instance, in April 2024, Novo Nordisk partnered with IBM Watson to leverage AI in creating personalized treatment plans for diabetes patients, helping them manage their condition more effectively through individualized care strategies.

Key Players

  • Medadvisor Solutions
  • Innovaccer, Inc.
  • EnlivenHealth (a subdivision of Omnicell, Inc.)
  • EmpiRx Health, LLC.
  • IBM
  • Huma
  • mPulse Mobile
  • AllazoHealth
  • P360
  • Brand Engagement Network, Inc.
  • Oracle
  • Nuance Communications, Inc. (Microsoft)
  • Health Catalyst
  • Ada Health GmbH
  • Aiva, Inc.
  • Claritas Rx
  • AiCure
  • UST Global Inc
  • ZS
  • IQVIA Inc

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Conclusion

The AI in patient engagement market is experiencing rapid growth due to the increasing adoption of digital healthcare platforms and the rising focus on personalized, patient-centered care. Advances in artificial intelligence, big data analytics, and natural language processing are transforming how healthcare providers and pharmaceutical companies interact with patients. Regional trends indicate strong leadership by North America and high growth potential in Asia Pacific. The dominance of healthcare providers, enhanced communication functionalities, and NLP technology highlights the market’s emphasis on effective and meaningful patient interactions. Overall, AI-driven patient engagement solutions are expected to play a vital role in improving healthcare outcomes, operational efficiency, and patient satisfaction in the coming years.