AI in Virtual Medical Assistants Market

The AI in virtual medical assistants market is projected to reach USD 8.85 billion by 2030 from USD 1.86 billion in 2025, at a CAGR of 36.6% during the forecast period. The growth of AI in virtual medical assistants market is primarily driven by advances in cross-cultural and multilingual AI, which are making healthcare more accessible to a broader range of patients. Healthcare providers are adopting these technologies to reduce clinician workload, accelerate care processes, and triage patients; this adoption is further supported by favorable telemedicine and AI laws. Increasing investments in healthcare IT and a greater focus on patient-centered treatment are fueling the market's expansion.

Leading companies in the AI in virtual medical assistants market include Microsoft (US), Verint Systems (US), Amazon.com, Inc. (US), Salesforce (US), LivePerson (US), eGain Corporation (US), Infermendica (Poland), Teladoc Health, Inc. (US), Teckel Medical (Spain), Fabric Labs (US), Movate (US), Feebris (UK), Healthtap, Inc. (US), and ADA Health (Germany). To expand their global reach and gain a larger share of the AI in virtual medical assistants market, these organizations have implemented a mix of inorganic and organic growth strategies, including partnerships, agreements, product launches, acquisitions, and expansion collaborations.

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In May 2025, Microsoft officially launched Dragon Copilot for US partners, integrating ambient clinical documentation, voice recognition, and generative AI to automate medical note-taking and streamline administrative workflows. Designed to operate securely within EHR environments, the tool improves clinician efficiency, cuts down documentation time, and helps ensure compliance with healthcare data standards.

In June 2023, Verint Systems Inc. introduced enhanced Da Vinci AI capabilities, including generative AI, third-party LLM support (e.g., ChatGPT), proprietary intent models, and specialized bots for tasks like interaction wrap-up and summary transfers, improving AI accuracy, workflow integration, and agent augmentation.
In March 2023, Infermedica launched an expanded API to support AI-driven patient intake workflows, enabling structured data collection for demographics, symptoms, and medical history. The tool integrates into existing digital health platforms, enhancing clinical workflow efficiency, reducing administrative tasks, and allowing clinicians to access pre-visit insights for better-informed decision-making.

Microsoft has become a leading player in the AI in virtual medical assistants market by integrating conversational AI, clinical workflow automation, and diagnostic tools into its healthcare services. A key component of their strategy is the HIPAA-compliant Azure Health Bot. This tool helps healthcare providers develop custom assistants for tasks such as patient triage, symptom checks, and administrative work. It leverages medical guidelines, clinical knowledge, and connects with electronic health records via FHIR APIs. Hospitals and health organizations like the CDC, Premera Blue Cross, and Aurora Health Care have adopted this solution to enhance patient interaction and access to care. In 2021, Microsoft made a significant move in healthcare by acquiring Nuance Communications for USD 19.7 billion, which facilitated the launch of Dragon Copilot, a tool that uses speech recognition, language understanding, and AI to automate clinical notes—helping doctors save time on paperwork. In 2025, Microsoft introduced AI-assisted diagnostics through the Microsoft AI Diagnostic Orchestrator (MAI-DxO). This platform employs multiple AI agents to assist with complex medical cases, improving diagnosis accuracy and enabling better decision-making by healthcare professionals.

Verint Systems Inc., a US-based company that provides tools for customer engagement, has entered the market for AI-powered virtual medical assistants. They offer healthcare-specific Conversational AI solutions that help healthcare providers, insurance companies, and drug makers automate their interactions with patients. Their tools make administrative tasks simpler and improve service delivery through digital platforms, featuring smart virtual assistants and chatbots. These include natural language understanding, sentiment analysis, and intent recognition. The tools assist with tasks such as scheduling appointments, refilling prescriptions, and checking symptoms, among others. In 2021, Verint acquired Conversocial, which brought enhanced automation to customer service centers. This acquisition enabled the company to deliver HIPAA-compliant, personalized communication and track performance through data-driven analytics. The company helps healthcare organizations manage growing patient needs, reduce call center workloads, and improve access to care.

Market Ranking  

The AI in virtual medical assistants market is fragmented, comprising global tech companies, healthcare organizations, and emerging regional players. Major firms like Microsoft, Verint Systems, Infermedica, Salesforce, eGain, NICE Ltd., and Amazon offer adaptable solutions for patient triage, symptom evaluation, workflow automation, and multi-channel communication. Other companies, such as Ada Health, Buoy Health, Woebot Health, HealthTap, Fabric Labs, WYSA, WELL Health Technologies, Orbita, Hyro AI, Veradigm, and K Health, specialize in telehealth, remote monitoring, mental health, and personalized care. Local providers like Sully AI, MEDVA, Heidi, Doctronic, and Empara target specific needs in senior care, medication adherence, and mental health. As competition grows, vendors focus on enhancing EHR integration, complying with healthcare regulations, advancing natural language processing, and developing tailored AI experiences. These initiatives aim to improve patient engagement, reduce administrative workload, and elevate the quality of care outcomes.

Related Reports:

AI in Virtual Medical Assistants Market by Offering (Apps, EHR/EMR, IoT), Mode (Text, Multimodal, Avatar), Application (Workflow, Triage, RPM, Scheduling, Billing), End User, Use Case (Patient Access, Mental Health) & Region - Global Forecast to 2030

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