医療文書作成における音声認識技術の世界市場：2024～2031年

世界の医療文書作成における音声認識技術の市場規模は、2023年に85億6,000万米ドルに達し、2024～2031年の予測期間中にCAGR 13.8%で成長し、2031年には241億米ドルに達すると予測されています。

医療文書作成における音声認識技術とは、話し言葉をテキストに変換する高度なソフトウェアシステムの使用を指し、カルテ、臨床記録、その他のヘルスケア関連のコミュニケーションの文書化を容易にします。

この技術は、人工知能（AI）、機械学習、自然言語処理を用いて患者情報を正確に書き起こし、管理するもので、ヘルスケア専門家が観察、診断、治療計画を電子カルテ（EHR）システムに直接口述することを可能にします。

医療文書作成における音声認識技術は、医療専門家が患者情報を管理する方法を変革し、その革新的な用途を通じて効率性、正確性、患者ケアを向上させています。

市場力学：

促進要因

技術進歩

医療文書作成における音声認識技術の世界市場の需要は、複数の要因によって牽引されています。医療文書作成における音声認識技術は、人工知能（AI）と自然言語処理（NLP）の技術進歩によって牽引されています。これらの技術進歩は、効率的で正確な医療文書作成に対する需要の高まりと相まって、ヘルスケア産業における音声認識の採用を促進しています。

さらに、合併・買収や革新的な主な発展などの主要プレーヤーの戦略は、この市場の成長を促進すると思われます。例えば、2021年2月、Nuance Communicationsは、医療従事者向け音声アシスタントの開発に注力する新興企業Saykaraを買収しました。この買収により、特にハンズフリーの文書化ソリューションを推進するニュアンスのヘルスケア分野での取り組みが強化されると予想されます。Saykaraの技術は、医師の文書作成プロセスを合理化し、より効率的な患者対応と管理負担の軽減を可能にするよう設計されています。

また、Dolbeyは2024年3月、nVoqを搭載したFusion Narrateプラットフォームの拡張版であるAIアシストを発表しました。これは、生成AIを活用してヘルスケアのワークフローを合理化するものです。この最先端技術により、ヘルスケアプロバイダーは反復作業を自動化し、生産性を高め、HIPAAに準拠した安全な環境で患者ケアを強化することができます。

抑制要因

導入コストの高さ、データセキュリティとプライバシーの懸念、熟練した専門家の限られた利用可能性などの要因が、市場の妨げになると予想されます。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

• 影響要因
  • 促進要因
    • 技術の進歩
  • 抑制要因
    • 導入コストの高さ
  • 機会
  • 影響分析

第5章 産業分析

• ポーターのファイブフォース分析
• サプライチェーン分析
• 価格分析
• 規制分析

第6章 技術別

• スピーチ認識
• 音声認識
• 人工知能（AI）
• 非AI

第7章 用途別

• 臨床ドキュメンテーション
• バーチャル看護アシスタント
• 患者エンゲージメント
• その他

第8章 エンドユーザー別

• 病院・専門クリニック
• 外来手術センター
• 在宅ヘルスケア

第9章 地域別

• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • スペイン
  • イタリア
  • その他の欧州
• 南米
  • ブラジル
  • アルゼンチン
  • その他の南米
• アジア太平洋
  • 中国
  • インド
  • 日本
  • 韓国
  • その他のアジア太平洋
• 中東・アフリカ

第10章 競合情勢

• 競合シナリオ
• 市況/シェア分析
• 合併・買収分析

第11章 企業プロファイル

• ScienceSoft USA Corporation
• Amazon Web Services, Inc
• IBM
• Medical Information Technology, Inc
• Microsoft（Nuance Communications, Inc）
• 3M
• Dolbey
• Verint Systems, Inc
• Suki AI, Inc
• Cedar Cares, Inc

第12章 付録

Overview

The global voice recognition technology in healthcare documentation market reached US$ 8.56 billion in 2023 and is expected to reach US$ 24.1 billion by 2031 growing with a CAGR of 13.8% during the forecast period 2024-2031.

Voice recognition technology in healthcare documentation refers to the use of advanced software systems that convert spoken language into text, facilitating the documentation of medical records, clinical notes, and other healthcare-related communications.

This technology employs artificial intelligence, machine learning, and natural language processing to accurately transcribe and manage patient information, allowing healthcare professionals to dictate their observations, diagnoses, and treatment plans directly into electronic health record (EHR) systems.

Voice recognition technology in healthcare documentation is transforming the way medical professionals manage patient information, enhancing efficiency, accuracy, and patient care through its innovative applications.

Market Dynamics: Drivers

Technological advancements

The demand for global voice recognition technology in healthcare documentation market is driven by multiple factors. Voice recognition technology in healthcare documentation has been driven by technological advancements in artificial intelligence (AI) and natural language processing (NLP). These technological advancements, coupled with the growing demand for efficient and accurate healthcare documentation, have propelled the adoption of voice recognition in the healthcare industry.

Moreover, key player strategies such as mergers & acquisitions and innovative key developments would propel this market growth. For instance, in February 2021, Nuance Communications acquired Saykara, a startup focused on developing a voice assistant for healthcare professionals. This acquisition is anticipated to enhance Nuance's initiatives in healthcare, particularly as it seeks to advance its hands-free documentation solutions. Saykara's technology is designed to streamline the documentation process for physicians, allowing for more efficient patient interactions and reducing administrative burdens.

Also, in March 2024, Dolbey launched AI Assist, an expansion of its Fusion Narrate platform powered by nVoq, which leverages generative AI to streamline healthcare workflows. This cutting-edge technology enables healthcare providers to automate repetitive tasks, boost productivity, and enhance patient care within a secure, HIPAA-compliant environment.

Restraints

Factors such as the high cost of implementation, data security & privacy concerns, and limited availability of skilled professionals, are expected to hamper the market.

Segment Analysis

The global voice recognition technology in healthcare documentation market is segmented based on technology, application, end-user, and region.

The voice recognition segment accounted for approximately 76.5% of the global voice recognition technology in healthcare documentation market share.

The voice recognition segment is expected to hold the largest market share over the forecast period. Voice recognition is a deep learning technique used to identify, distinguish, and authenticate a particular person's voice. It evaluates an individual's unique voice biometrics, including frequency and flow of pitch, and natural accent.

Voice recognition technology in healthcare enables healthcare providers to convert spoken language into text, facilitating more efficient documentation processes. This technology is particularly valuable in environments where time is of the essence, allowing clinicians to focus on patient care rather than administrative tasks.

The introduction of this new type of technology will make it much easier for physicians to listen to patients with hearing impairments or those who speak a different language. It can also help them deal with other issues like getting information at the same time as they are performing an exam. It sounds like something out of science fiction but in reality, voice recognition software already exists and is being used successfully by many people around the world including speech therapists.

Moreover, key players in the industry introducing innovative technological launches in the voice recognition segment that would propel this market growth. For instance, in February 2024, FUJIFILM Sonosite Inc., launched the Sonosite Voice Assist application, a groundbreaking voice command feature that allows proceduralists to operate their Sonosite PX and Sonosite LX systems hands-free during sterile or clean procedures, such as central venous access and peripheral nerve blocks.

The Voice Assist can be activated with the simple command "Activate Voice," enabling proceduralists to manage critical functions without physical contact during exams. This innovation not only streamlines workflow but also helps maintain a sterile environment, allowing healthcare providers to focus more on patient care.

Similarly, in April 2022, An NHS health informatics specialist introduced voice recognition technology at a Yorkshire hospital trust to streamline the processes involved in recording, verifying, and dispatching patients' clinical notes and letters. The Health Informatics Service (THIS) has implemented this technology to enhance operations at Calderdale and Huddersfield NHS Foundation Trust, which includes Huddersfield Royal Infirmary and Calderdale Royal Hospital, as well as community outreach services.

Geographical Analysis

North America accounted for approximately 43.8% of the global voice recognition technology in healthcare documentation market share.

North America region is expected to hold the largest market share over the forecast period owing to the increasing adoption of electronic health records (EHRs), the increasing need for efficient documentation, and reducing transcription costs helping to drive this market growth in this region.

Moreover, well-defined healthcare infrastructure, key player's presence, & strategies such as partnerships & collaborations, and innovative launches propel this market growth. For instance, in April 2023, Augmedix partnered with HCA Healthcare, a major U.S. healthcare provider, to expedite the development of technology designed to revolutionize patient care documentation in acute care settings. This collaboration aims to transform the way clinicians record patient information, streamlining the process and allowing them to focus more on delivering high-quality care.

Similarly, in June 2024, Oracle announced the general availability of its Clinical Digital Assistant for ambulatory clinics in the United States, marking a significant advancement in the integration of artificial intelligence (AI) within healthcare. This innovative solution aims to transform doctor-patient interactions by utilizing generative AI, clinical intelligence, and multimodal assistance to streamline workflows and alleviate the administrative burdens faced by healthcare providers.

In addition, key players in this region more focus on clinical documentation and its applications in the healthcare industry helps to drive this market growth in the region. For instance, in March 2023, Nuance Communications, Inc., unveiled Dragon Ambient eXperience (DAX) Express, a fully automated clinical documentation application that integrates seamlessly into workflows.

This innovative solution is the first to merge established conversational and ambient AI with OpenAI's latest model, GPT-4. Building on the success of the Dragon Medical portfolio and the DAX ambient solution launched in 2020, DAX Express represents a significant advancement in Nuance's ongoing mission to alleviate administrative burdens, enabling clinicians to dedicate more time to patient care rather than paperwork.

Market Segmentation

By Technology

• Speech Recognition
• Voice Recognition
• Artificial Intelligence (AI)
• Non-AI

By Application

• Clinical Documentation
• Virtual Nursing Assistants
• Patient Engagement
• Others

By End-User

• Hospitals & Specialty Clinics
• Ambulatory Surgical Centers
• Home Healthcare

By Region

• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • Germany
  • U.K.
  • France
  • Spain
  • Italy
  • Rest of Europe
• South America
  • Brazil
  • Argentina
  • The rest of South America
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Middle East and Africa

Competitive Landscape

The major global players in voice recognition technology in the healthcare documentation market include ScienceSoft USA Corporation, Amazon Web Services, Inc., IBM, Medical Information Technology, Inc., Microsoft (Nuance Communications, Inc.), 3M, Dolbey, Verint Systems, Inc., Suki AI, Inc., and Cedar Cares, Inc. among others.

Key Developments

• In June 2024, Suki announced the launch of enhanced features for the Suki Platform, its suite of developer tools. This platform enables healthcare technology solutions, such as electronic health record (EHR) systems, to integrate Suki's AI and voice functionalities into their applications. The newly introduced software development kit (SDK) allows developers to seamlessly embed the Suki Assistant into their solutions, enhancing the user experience with voice capabilities.
• In April 2024, GE HealthCare introduced two new ultrasound systems, the Voluson Signature 20 and 18, which are enhanced with artificial intelligence to improve women's health diagnostics. These systems feature AI capabilities that can automatically identify and annotate fetal anatomy, provide guidance for fetal heart assessments, and assist in imaging pelvic floors and classifying fibroids.
• In November 2022, 3M unveiled AI-powered speech recognition technology aimed at accelerating digital health transformation in the region. This innovative solution will assist clinicians across various care environments in accurately capturing comprehensive patient information while allowing them to concentrate on delivering high-quality care.
• In October 2023, Suki announced an expansion of its voice assistant capabilities to include support for inpatient care. This development makes Suki the first and only AI-driven voice solution specifically designed for clinicians in hospital settings, further establishing the company as a pioneer in the healthcare sector.
• In February 2023, Cedar announced its collaboration with Google Cloud to utilize generative AI tools, including Vertex AI and Generative AI App Builder. This partnership aims to create solutions that help patients better understand and manage their healthcare bills.

Why Purchase the Report?

• To visualize the global voice recognition technology in healthcare documentation market segmentation based on technology, application, end-user, and region and understand key commercial assets and players.
• Identify commercial opportunities by analyzing trends and co-development.
• Excel data sheet with numerous data points of the voice recognition technology in the healthcare documentation market with all segments.
• PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
• Product mapping is available in Excel consisting of key products of all the major players.

The global voice recognition technology in healthcare documentation market report would provide approximately 62 tables, 56 figures, and 183 pages.

Target Audience 2023

• Manufacturers/ Buyers
• Industry Investors/Investment Bankers
• Research Professionals
• Emerging Companies

Table of Contents

1. Methodology and Scope

• 1.1. Research Methodology
• 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

• 3.1. Snippet by Technology
• 3.2. Snippet by Application
• 3.3. Snippet by End-User
• 3.4. Snippet by Region

4. Dynamics

• 4.1. Impacting Factors
  • 4.1.1. Drivers
    • 4.1.1.1. Technological Advancements
  • 4.1.2. Restraints
    • 4.1.2.1. High Cost of Implementation
  • 4.1.3. Opportunity
  • 4.1.4. Impact Analysis

5. Industry Analysis

• 5.1. Porter's Five Force Analysis
• 5.2. Supply Chain Analysis
• 5.3. Pricing Analysis
• 5.4. Regulatory Analysis

6. By Technology

• 6.1. Introduction
  • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 6.1.2. Market Attractiveness Index, By Technology
• 6.2. Speech Recognition *
  • 6.2.1. Introduction
  • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 6.3. Voice Recognition
• 6.4. Artificial Intelligence (AI)
• 6.5. Non-AI

7. By Application

• 7.1. Introduction
  • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 7.1.2. Market Attractiveness Index, By Application
• 7.2. Clinical Documentation *
  • 7.2.1. Introduction
  • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 7.3. Virtual Nursing Assistants
• 7.4. Patient Engagement
• 7.5. Others

8. By End-User

• 8.1. Introduction
  • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 8.1.2. Market Attractiveness Index, By End-User
• 8.2. Hospitals & Specialty Clinics *
  • 8.2.1. Introduction
  • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
• 8.3. Ambulatory Surgical Centers
• 8.4. Home Healthcare

9. By Region

• 9.1. Introduction
  • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  • 9.1.2. Market Attractiveness Index, By Region
• 9.2. North America
  • 9.2.1. Introduction
  • 9.2.2. Key Region-Specific Dynamics
  • 9.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 9.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 9.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 9.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 9.2.6.1. U.S.
    • 9.2.6.2. Canada
    • 9.2.6.3. Mexico
• 9.3. Europe
  • 9.3.1. Introduction
  • 9.3.2. Key Region-Specific Dynamics
  • 9.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 9.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 9.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 9.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 9.3.6.1. Germany
    • 9.3.6.2. U.K.
    • 9.3.6.3. France
    • 9.3.6.4. Spain
    • 9.3.6.5. Italy
    • 9.3.6.6. Rest of Europe
• 9.4. South America
  • 9.4.1. Introduction
  • 9.4.2. Key Region-Specific Dynamics
  • 9.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 9.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 9.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 9.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 9.4.6.1. Brazil
    • 9.4.6.2. Argentina
    • 9.4.6.3. Rest of South America
• 9.5. Asia-Pacific
  • 9.5.1. Introduction
  • 9.5.2. Key Region-Specific Dynamics
  • 9.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 9.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 9.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
  • 9.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
    • 9.5.6.1. China
    • 9.5.6.2. India
    • 9.5.6.3. Japan
    • 9.5.6.4. South Korea
    • 9.5.6.5. Rest of Asia-Pacific
• 9.6. Middle East and Africa
  • 9.6.1. Introduction
  • 9.6.2. Key Region-Specific Dynamics
  • 9.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  • 9.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  • 9.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

10. Competitive Landscape

• 10.1. Competitive Scenario
• 10.2. Market Positioning/Share Analysis
• 10.3. Mergers and Acquisitions Analysis

11. Company Profiles

• 11.1. ScienceSoft USA Corporation *
  • 11.1.1. Company Overview
  • 11.1.2. Product Portfolio and Description
  • 11.1.3. Financial Overview
  • 11.1.4. Key Developments
• 11.2. Amazon Web Services, Inc
• 11.3. IBM
• 11.4. Medical Information Technology, Inc
• 11.5. Microsoft (Nuance Communications, Inc
• 11.6. 3M
• 11.7. Dolbey
• 11.8. Verint Systems, Inc
• 11.9. Suki AI, Inc
• 11.10. Cedar Cares, Inc

LIST NOT EXHAUSTIVE

12. Appendix

• 12.1. About Us and Services
• 12.2. Contact Us