Towards Healthcare

U.S. AI in Medical Scribing Market Investment Trends and Funding in AI Medical Scribing Startups

According to our market insight calculation the United States AI in medical scribing market was valued at USD 496.85 million in 2025 and is projected to grow from USD 621.66 million in 2026 to USD 4,671.9 million by 2035, expanding at a CAGR of 25.12% during 2026–2035.

Last Updated : 25 February 2026 Category: Healthcare IT Insight Code: 6709 Format: PDF / PPT / Excel
Revenue, 2025
USD 496.85 Million
Forecast, 2035
USD 4671.9 Million
CAGR, 2026-2035
25.12%
Report Coverage
United States

The U.S. AI in medical scribing market size was estimated at USD 496.85 million in 2025 and is predicted to increase from USD 621.66 million in 2026 to approximately USD 4671.9 million by 2035, expanding at a CAGR of 25.12% from 2026 to 2035.

U.S. AI in Medical Scribing Market, Size is USD 621.66 Million in 2026.

The growing digital transformation in the U.S. healthcare sector is increasing the adoption of AI medical scribing tools. The growing remote healthcare, technological innovations, and launches are promoting the market growth.

Key Takeaways

  • U.S. AI in medical scribing market to crossed USD 621.66 million by 2026.
  • Market projected at USD 4671.9 million by 2035.
  • CAGR of 25.12% expected in between 2026 to 2035.
  • The global AI medical scribing market is projected to grow from USD 1.39 billion in 2025 to USD 8.93 billion by 2035 at a CAGR of 20.48%.
  • By deployment mode type, the cloud-based segment dominated the U.S. AI in medical scribing market in 2025 and is expected to be the fastest growing during the forecast period.
  • By application type, the general documentation segment held a majority revenue share in the market in 2025.
  • By application type, the specialty documentation segment is expected to be the fastest growing during the forecast period.
  • By end-use, the hospitals segment dominated the market in 2025.
  • By end-use, the clinics segment is expected to be the fastest growing during the forecast period.

What is the U.S. AI in Medical Scribing?

The U.S. AI in medical scribing market is driven by the urgent need to reduce clinical burnout and automate “pajama time” (the hours spent on documentation after shift by the doctors). The U.S. AI in medical scribing encompasses the artificial intelligence technologies utilized to develop, optimize, and manage clinical documentation automatically, across the U.S. These technologies interpret the doctor-patient interactions and help in the generation of accurate and structured medical notes.

Market Dynamics

Driver

High clinical Documentation Burden

The expanding healthcare, growing diseases, and patient volume across the U.S. are increasing the clinical documentation burden. Moreover, these procedures are time-consuming and are increasing the physician burnout, which is driving the demand for automation. This is increasing the use of AI in medical scribing, which offers high accuracy, faster documentation, and reduces the administrative overload by transcribing and organizing clinical information automatically.

Restraint

Reliability Issues

The AI in medical scribing often misinterprets the accents, speech, and complicated clinical context. This decreases the accuracy of the documentation, increasing the workload of the physician for their correction, where their inaccurate documentation can reduce compliance with regulatory standards, and decrease physicians' trust, limiting their use.

Opportunity

Growing AI Medical Scribing Models

To offer various applications and enhance the features of the AI in medical scribing, the companies in the U.S. are increasing the development of new AI medical scribing models. These models are offering automated documentation, improved efficiency, enhanced accuracy, easy deployment, and data-driven insights. Furthermore, the specialty-specific solutions and hybrid human-AI models are also being developed.

Telehealth Proliferation

The growing shift towards remote care is increasing the use of telehealth platforms, which is promoting the use of AI medical scribing solutions for capturing consultations and seamless documentation.

Flourishing Technological Advancements

In order to enhance the applications of the AI medical scribing systems, they are being integrated with other digital health tools, which will enhance the interpretation of the conversation, documentation accuracy, reduce manual errors, with improved data security.

Expanding Specialty Clinics

The U.S. AI in medical scribing market is experiencing a rapid growth in specialty clinics such as oncology, cardiovascular, psychiatry, and orthopedics, which is increasing the specialty-specific AI medical scribing models to deal with the growing, intricate documentation burden.

2025 U.S. Healthcare Documentation

Executive Summary Table

Table Scope
Market Size in 2026 USD 621.66 Million
Projected Market Size in 2035 USD 4671.9 Million
CAGR (2026 - 2035) 25.12%
Historical Data 2020 - 2023
Base Year 2025
Forecast Period 2026 - 2035
Measurable Values USD Millions/Units/Volume
Market Segmentation By Deployment Mode, By Application, By End-use
Top Key Players Microsoft (Nuance), Abridge, Suki AI, Ambience Healthcare, DeepScribe, Freed AI, ScribeAmerica, Augmedix, Sunoh.ai, Nabla 

Segmental Insights

By Deployment Mode Insights

Why Did the Cloud-based Segment Dominate in the Market in 2025?

The cloud-based segment registered its dominance in the U.S. AI in medical scribing market in 2025 and is expected to show the fastest growth rate during the predicted time, due to its faster implementation. It also offered automated updates and real-time speech recognition, which increased their use. Beyond rapid deployment, these platforms offered automated updates, real-time speech recognition, and seamless integration with Electronic Health Records (EHRs), significantly streamlining clinical workflows.

The shift was further fueled by the high accessibility and scalability provided by major hyperscalers like AWS, Google Cloud, and Microsoft Azure, which allow healthcare providers to bypass substantial upfront investments in hardware and IT infrastructure. Additionally, these solutions were increasingly leveraged for remote healthcare applications and secure, interoperable data sharing across hospitals and research institutions. 

By Application Insights

Which Application Type Segment Held the Dominating Share of the Market in 2025?

The general documentation segment held the dominating share in the U.S. AI in medical scribing market in 2025, due to growth in clinical documentation. This increased the time required to summarize the documents, as well as the physicians' burnout. This promoted the use of AI in medical scribbling in the U.S. healthcare, where it offered accurate, fast, and standardized documentation.

Specialty Documentation

The specialty documentation segment is expected to show the highest growth during the upcoming year, due to growing demand for detailed and structured documents. Furthermore, the expanding specialty clinics and healthcare investments are also increasing the use of AI medical scribing solutions for customized and precise documentation.

By End-Use Insights

What Made Hospitals the Dominant Segment in the Market in 2025?

The hospitals segment contributed the biggest revenue share in the U.S. AI in medical scribing market in 2025, due to growth in the patient volume, which increased the documentation burden. Moreover, the reimbursement policies and multiple departments also increased the demand for AI medical scribing platforms. They were also integrated with other digital health care systems, which enhanced their applications.

Clinics

The clinics segment is expected to show the fastest growth rate during the forthcoming year, due to growing outpatient visits and a skilled personnel shortage. This is driving the adoption of various affordable AI medical scribing tools to reduce the documentation burden and make faster clinical decisions. The expanding remote healthcare is also increasing its use.

Regional Insights

Why is the Documentation Burden Fueling the U.S. AI in Medical Scribing Market?

The U.S. AI in medical scribing market is expected to grow significantly during the forecast period, due to the growing clinical documentation burden, which is increasing the physician workload and encouraging the use of various AI medical scribing tools. The growing focus on physician burden reduction and growing healthcare innovations are also increasing their adoption rates. Similarly, the rapid expansion of specialty clinics and remote healthcare is also increasing their use and driving their innovations, which is promoting the market growth.

As a major tech hub, California accelerates AI scribing through rapid adoption by tech-forward health systems and startups in Silicon Valley. Dense, innovative healthcare providers integrate these AI tools to reduce clinician documentation burden, enhancing efficiency and patient care.

In the Midwest, regional growth is driven by major, strategic partnerships between healthcare systems and technology providers, such as the deployment of Nabla ambient AI across Illinois-based Carle Health. This adoption spans 1,500+ providers in emergency departments and specialized care, highlighting how regional hospital networks are proactively integrating AI tools to streamline documentation in traditionally high-volume settings.

In the Northeast, AI medical scribing growth is fueled by a high concentration of academic medical centers and tech-forward institutions, which are quick to adopt solutions like DAX Copilot. This region focuses on integrating these systems directly into electronic health records (EHR) to automate, summarize, and enhance documentation, reducing the 25% extra time spent on paperwork, per Microsoft.

Global AI in Medical Scribing Market Growth

The global AI in medical scribing market size was estimated at USD 1.39 billion in 2025 and is predicted to increase from USD 1.67 billion in 2026 to approximately USD 8.93 billion by 2035, expanding at a CAGR of 20.48% from 2026 to 2035.

AI in Medical Scribing Market Size is USD 1.67 Billion in 2026.

What are the Market Top Vendors and Their Offerings?

U.S. AI in Medical Scribing Market, Companies are Emerson Electric Co., Alfa Laval AB, Bürkert Fluid Control Systems, Flowserve Corporation

U.S. Companies Headquarters AI Medical Scribing Tools Offerings Contribution to the U.S. AI Medical Scribing Market
Microsoft (Nuance) Burlington, Massachusetts DAX Copilot Nuance’s Dragon Ambient eXperience (DAX) uses advanced speech-recognition and AI to convert clinician-patient conversations into structured notes with deep Epic EHR integration. Large enterprise footprint; dominant hospital share and trusted by major systems for ambient AI documentation
Abridge Pittsburgh, Pennsylvania Abridge AI Ambient listening and generative tools that produce structured clinical notes, summaries, and analytics across specialties One of the fastest-growing AI scribes with broad adoption and strong funding, reducing clinician documentation burden.
Suki AI  Redwood City, California Suki Assistant Voice-enabled AI assistant capturing notes, offering dictation and coding suggestions. Known for deep EHR integration and significant documentation time reduction.
Ambience Healthcare San Francisco, California Ambience Auto-Scribe AI transcription and admin automation platform capturing conversations, coding, and workflow tasks. Well-funded player extending scribing into full clinical workflow automation.
DeepScribe San Francisco, California DeepScribe AI Ambient AI that generates detailed, specialty-specific clinical notes with coding support. Strong niche in specialty practices with high clinician satisfaction.
Freed AI San Francisco, California Freed An AI medical scribe that transcribes visits into structured documentation and EHR-ready notes. Focuses on real-time capture, simplicity, and clinician time savings.
ScribeAmerica Fort Lauderdale, Florida Speke AI Traditional human medical scribe services An established documentation service provider is now affected by the AI transition in healthcare.
Augmedix San Francisco, California Augmedix Hybrid ambient AI + human documentation platform converting encounters into clinical notes. Early innovator; set benchmarks for real-time documentation adoption.
Sunoh.ai Westborough, Massachusetts Sunoh.ai Ambient voice-driven AI scribe converting conversations into SOAP notes across specialties. EHR-agnostic tool adopted by tens of thousands of providers to reduce burnout.
Nabla New York City Nabla Copilot Flexible AI scribe with multilingual support and customizable templates. Appeals to diverse clinical settings with lightweight deployment

SWOT Analysis

Strengths

  • The AI in the medical scribing reduces the time required for the documentation, which is increasing its use by U.S. physicians.
  • It also helps in capturing notes during consultation with enhanced accuracy, which reduces the manual errors and encourages their use.
  • Moreover, their affordability and speech recognition capacity increase their use during doctor-patient interactions.
  • Their 24/7 availability, seamless integration with EHR systems, and coding support are also increasing their use.

Weaknesses

  • Concerns regarding the data privacy act as the major weakness in the U.S. AI in medical scribing market, limiting its use.
  • Misinterpretation due to fast, overlapping conversations or different accents, which reduces their acceptance rates.

Opportunities

  • Growing medical documentation is increasing the demand for AI medical scribing in the U.S. to reduce the clinician workload and their burnout.
  • The increasing shift towards the telehealth platforms is also increasing their demand.
  • They are also being recommended for the growing medical training and educational purposes to offer the best documentation practices.
  • The growing healthcare investments, collaborations, and technological advancements are also increasing their innovations.

Threats

  • Stringent regulations, with HIPAA and data security compliance limits the innovations of the AI medical scribing tools and slow down their development.
  • Rapid technological advancements and high initial implementation costs also reduce their innovations and adoption rates.

What are the Recent Developments in the Market?

  • In August 2025, an artificial intelligence-driven automatic clinical documentation tool will be launched by Epic Systems. This platform will integrate Microsoft-owned Nuance and Abridge technologies for automated clinical notes and document patient encounters.
  • In May 2025, a total of $1.3 million in an oversubscribed pre-seed funding round was secured by Skriber, which is a leader in medical AI scribe, where this capital will be utilized to scale its Skriber platform, expand the team, and promote R&D to maintain its technological leadership.

Segments Covered in the Report

By Deployment Mode

  • Cloud-based
  • On-premises

By Application

  • General Documentation
  • Specialty Documentation
  • Emergency Care
  • Telehealth
  • Others

By End-use

  • Hospitals
  • Clinics
  • Ambulatory Surgical Centers
  • Long-term Care Facilities
  • Others

FAQ's

Finding : The U.S. AI in medical scribing market in 2026 is valued at USD 621.66 million and is projected to climb to USD 4671.9 million by 2035, with a CAGR of 25.12% over the forecast period.

Finding : ACMSO, Ministry of Health and Family Welfare, Government of India, National Institutes of Health, FDA, WHO, PIB, CDC.

Finding : The U.S. AI in medical scribing market is expected to show significant growth due to the growing clinical documentation burden.

Tags

Meet the Team

Deepa Pandey is a focused and detail-oriented market research professional with growing expertise in the healthcare sector, delivering high-quality insights across therapeutic areas, diagnostics, biotechnology and healthcare services.

Learn more about Deepa Pandey

Aditi Shivarkar is a seasoned professional with over 14 years of experience in healthcare market research. As a content reviewer, Aditi ensures the quality and accuracy of all market insights and data presented by the research team.

Learn more about Aditi Shivarkar

Related Reports

U.S. AI in Medical Scribing Market
Updated Date: 25 February 2026   |   Report Code: 6709
WhatsApp