The global AI in behavioral healthcare market size was valued at USD 55.24 billion in 2024 and is predicted to hit around USD 115.65 billion by 2034, rising at a 7.69% CAGR, a study published by Towards Healthcare a sister firm of Precedence Research.
Ottawa, Jan. 07, 2026 (GLOBE NEWSWIRE) — The global AI in behavioral healthcare market size is calculated at USD 64.07 billion in 2026 and is expected to reach around USD 115.65 billion by 2034, growing at a CAGR of 7.69% for the forecasted period.
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Key Takeaways
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AI in behavioral healthcare market crossed USD 55.24 billion by 2024.
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Market projected at USD 115.65 billion by 2034.
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CAGR of 7.69% is expected between 2025 and 2034.
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North America registered dominance in the market in 2024.
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Asia-Pacific is expected to be the fastest-growing region in the upcoming years.
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By technology, the natural language processing segment led the market in 2024.
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By technology, the machine learning segment is expected to witness rapid expansion during the forecast period.
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By component, the software-as-a-service segment dominated the AI in behavioral healthcare market in 2024.
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By component, the hardware segment is expected to grow at a rapid CAGR during 2025-2034.
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By application, the conversational interface segment accounted for the largest share of the market in 2024.
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By application, the patient behavioral pattern recognition segment is expected to grow rapidly in the upcoming years.
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By end-user, the hospitals and clinics segment led the market in 2024.
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By end-user, the mental health centers segment is expected to grow fastest during the forecast period.
What are the Major Technological Advances in AI in Behavioral Healthcare?
Across the globe, AI has showcased diverse approaches to enhance mental health through tailored interventions, early detection of symptoms, and virtual therapy platforms in the AI in behavioral healthcare market. Alongside, the key firms are advancing ML, Deep Learning, and NLP, which further allows for more sophisticated tools. Moreover, AI has substantial advantages, like it provides discreet, 24/7 support. Recently, gen AI has been used for clinical documentation, such as Abridge and Nuance’s DAX Copilot, which are prominent solutions that majorly lower the administrative burden and enable clinicians to emphasize greater patient care.
What are the Major Drivers in the AI in Behavioral Healthcare Market?
Ongoing innovations in Natural Language Processing (NLP) and Machine Learning (ML) are fostering more accurate diagnosis, customized treatment strategies, and real-time patient monitoring through the analysis of vast datasets. Moreover, the market is propelled by a rise in public awareness and minimal social stigma surrounding mental health conditions, which supports more individuals who are looking for help through discreet AI-driven platforms. Whereas, governments & private sector investors are highly funding AI in healthcare R&D, with the execution of favourable policies.
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