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市場調查報告書
商品編碼
1802939

2032 年語音情緒障礙診斷市場預測：按組件、部署模式、疾病類型、生物標記類型、技術、應用、最終用戶和地區進行的全球分析

Voice Mood Disorder Dx Market Forecasts to 2032 - Global Analysis By Component (Solutions and Services), Deployment Mode (Cloud and On-premise), Disorder Type, Biomarker Type, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球語音活化情緒障礙診斷市場預計在 2025 年價值 5.9992 億美元，到 2032 年將達到 15.1968 億美元，預測期內的複合年成長率為 14.2%。

語音情緒障礙診斷 (Voice Mood Disorders Dx) 體現了人工智慧主導的分析和基於語音的生物標記物在診斷和追蹤雙相情感障礙、焦慮症和憂鬱症等情緒障礙方面的應用日益廣泛。聲調、音高、節奏、重音和停頓只是語音模式中細微變化的幾個例子，這些變化往往揭示了傳統臨床評估難以識別的潛在情緒和認知狀態。透過使用自然語言處理 (NLP) 和機器學習分析這些特徵，語音情緒障礙診斷系統提供了非侵入性、可擴展的即時心理健康評估。這項技術可以實現早期發現、持續監測以及與遠端醫療平台的整合，從而提高患者的便利性並制定個人化治療方案。

《神經病學前沿》發表的一項研究透過分析來自93位參與者的1337條音頻訊息，證明了基於語音的機器學習模型能夠診斷抑鬱和躁狂情緒狀態。研究發現，音調、節奏和停頓等特定的聲音特徵可以指示情緒狀態，這表明語音分析在診斷情緒障礙方面具有潛力。

精神健康障礙盛行率不斷上升

在全球範圍內，精神健康問題的盛行率正在迅速上升，尤其是躁鬱症、焦慮症和憂鬱症心境障礙。根據世界衛生組織 (WHO) 統計，憂鬱症影響全球整體超過 2.8 億人，其中女性患者比例特別嚴重。傳統的診斷方法依賴主觀評估和自我報告，這可能會延遲準確的診斷和介入。隨著精神疾病盛行率的不斷上升，迫切需要新型、可靠且可擴充性的診斷工具。此外，基於語音的診斷技術可以檢查與情緒狀態相關的細微聲音變化，為全球精神疾病的早期發現、持續監測和更有效的管理提供了一種有前景的方法。

資料安全和隱私問題

基於語音的診斷引發了嚴重的隱私問題，因為它們需要收集和檢查個人健康和個人資訊。患者可能擔心他們的聲音和情緒數據可能被濫用、未經許可訪問或面臨風險。歐洲的《一般資料保護規範》（GDPR）和美國的《健康保險流通與責任法案》（HIPAA）等法律規範執行嚴格的合規標準，但地區差異對全球實施構成了挑戰。安全儲存、加密、傳輸和正確匿名化語音資料既昂貴又具有挑戰性。此外，大眾對數位健康平台的不信任可能會減緩其採用。如果公司無法在技術創新和嚴格的資料保護措施之間取得平衡，同時維護患者的信任並遵守法律要求，那麼快速的市場擴張可能會受到限制。

遠端監控和遠端醫療的擴展

遠端醫療的快速發展為基於語音的情緒障礙診斷提供了重要機會。隨著患者擴大尋求遠端諮詢，將語音分析工具整合到遠端醫療平台中，可以實現持續的心理健康監測，而無需面對面諮詢。治療師可以使用遠端監控來監測患者隨時間推移的細微行為和情緒變化，從而實現早期療育和個人化治療方案。此外，這種整合也降低了醫療資源匱乏地區和農村地區患者的就診門檻，從而擴大了市場。新冠疫情和其他事件加速了對數位醫療解決方案的需求。因此，遠端保健的普及為可擴展的語音心理健康診斷的全球部署提供了有利環境。

強大的競爭對手和快速的技術變革

市場競爭日益激烈，老牌科技公司、新興企業和醫療解決方案提供者都在爭奪市場佔有率。如果現有工具無法跟上科技的快速發展，很快就會過時。競爭對手可能會透過提供更精準、更實惠、更人性化的解決方案來搶佔市場佔有率，從而擠壓利潤空間並抑製成長。儘管營運成本和風險不斷增加，但持續的研發投入對於保持競爭力至關重要。人工智慧、自然語言處理和數位健康技術的快速發展意味著企業必須不斷調整，否則就有可能落後於更先進的診斷工具。

COVID-19影響：

新冠疫情為語音心境障礙診斷市場帶來了重大衝擊，既帶來了機遇，也帶來了挑戰。在全球範圍內，社交隔離、居家隔離和壓力水平的升高導致心理健康問題增多，也凸顯了早期發現和監測心境障礙的需求。社交隔離政策使得傳統的面對面評估更加難以進行，加速了語音等非侵入式遠距離診斷工具的使用。人工智慧語音分析已被整合到遠端醫療平台中，以促進早期療育、持續監測和個人化治療。然而，這種快速變化也凸顯了數位素養、基礎設施和資料隱私等問題，企業必須解決這些問題才能繼續發展。

預計雲端領域將成為預測期內最大的市場

預計雲端領域將在預測期內佔據最大市場佔有率，這得益於其擴充性、靈活性以及與本地部署相比更低的基礎設施成本。語音生物標記數據可以即時收集、處理和分析，無需在用戶位置安裝大量硬體。雲端平台支援機器學習模型和人工智慧主導的分析，為患者和雲端基礎醫生提供遠端存取和持續監控。此外，雲端解決方案能夠與行動應用程式和遠端醫療服務無縫整合，從而提高可訪問性和採用率。集中式演算法更新還能確保更準確、更及時的診斷能力，進而鞏固其在該領域的市場領先地位。

預計遠端醫療提供者領域在預測期內將以最高複合年成長率成長

遠端醫療提供者領域預計將在預測期內實現最高成長率。對能夠提供語音情緒和心理健康評估的遠端保健平台的需求急劇成長，尤其是在新冠疫情爆發後遠距醫療解決方案的使用日益增多的情況下。這些提供者正在填補心理健康領域的空白，尤其是在服務匱乏的地區，讓患者能夠在舒適的家中接受診斷服務。此外，由於人工智慧主導的語音分析工具的發展，遠端醫療已成為成長最快的細分市場，這些工具能夠即時準確地檢測情緒，從而改善早期療育和個人化治療。

比最大的地區

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其在心理健康研究方面的大量投入、數位醫療技術的廣泛應用以及先進的醫療基礎設施。主要的醫療保健提供者、診斷公司以及良好的法規環境正在推動市場擴張。人們對心理健康問題的認知不斷提高，以及語音和人工智慧診斷工具在臨床環境中的使用，也推動了其應用。此外，強力的政府措施以及對遠距離診斷和客製化診斷解決方案日益成長的需求，鞏固了北美在全球語音情緒障礙診斷市場的領導地位。

複合年成長率最高的地區：

預計亞太地區將在預測期內實現最高的複合年成長率。由於快速都市化、網路和智慧型手機普及率上升以及人們對心理健康問題的認知不斷提高等因素，中國、印度和日本等國家正在採用數位診斷解決方案。基於人工智慧的語音分析工具用於早期檢測情緒障礙，以及醫療基礎設施投資的增加，也正在推動市場擴張。此外，在政府扶持政策、遠端醫療的成長以及行動醫療平台發展的推動下，亞太地區正在成為全球語音情緒障礙診斷市場成長最快的地區。

提供免費客製化：

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    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 二手研究資料
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球語音情緒障礙診斷市場（依組成部分）

  • 解決方案
  • 服務

6. 全球音訊情緒障礙 DX 市場（依部署模式）

  • 雲
  • 本地

7. 全球語音情緒障礙 DX 市場（依疾病類型）

  • 憂鬱症
  • 躁鬱症
  • 焦慮症
  • 創傷後壓力症候群（PTSD）
  • 思覺失調症
  • 其他疾病類型

8. 全球音頻情緒障礙診斷市場（依生物標記類型）

  • 基於頻率的生物標記
  • 基於振幅的生物標記
  • 基於聲帶動力學的生物標記
  • 其他生物標記類型

9. 全球音訊情緒障礙 DX 市場（按技術）

  • 聲音生物標記
  • 自然語言處理（NLP）
  • 機器學習演算法
  • 聲學訊號處理

第10章。全球音訊情緒障礙 DX 市場（按應用）

  • 認知
  • 行動

第 11 章。全球音訊情緒障礙診斷市場（按最終用戶）

  • 醫院和診所
  • 診斷中心
  • 遠端醫療提供者
  • 研究機構
  • 心理健康應用程式和平台

12. 全球語音情緒障礙診斷市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第13章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第14章 公司概況

  • Cogito Corporation
  • Sonde Health
  • Ellipsis Health Inc
  • Psyrin
  • Canary Speech Inc
  • Beyond Verbal
  • Thymia
  • Kintsugi
  • CompanionMx
  • LangAware
  • Vocalis Health
  • Winterlight Labs
  • Mindstrong Health
  • NeuroLex Laboratories
  • Aiberry Inc
Product Code: SMRC30465

According to Stratistics MRC, the Global Voice Mood Disorder Dx Market is accounted for $599.92 million in 2025 and is expected to reach $1519.68 million by 2032 growing at a CAGR of 14.2% during the forecast period. The Voice Mood Disorder Dx describes the growing application of AI-driven analysis and voice-based biomarkers for the diagnosis and tracking of mood disorders like bipolar disorder, anxiety, and depression. Tone, pitch, rhythm, intensity, and pauses are just a few examples of the subtle changes in speech patterns that frequently reveal underlying emotional and cognitive states that are difficult to identify with conventional clinical evaluations. By analyzing these characteristics using natural language processing (NLP) and machine learning, Voice Mood Disorder Dx systems provide a non-invasive, scalable, and real-time mental health assessment. Early detection, ongoing monitoring, and integration with telehealth platforms are all possible with this technology, which could enhance patient accessibility and individualized treatment plans.

According to a study published in Frontiers in Neurology, voice-based machine learning models have demonstrated the ability to diagnose depressive and manic mood states by analyzing 1,337 voice messages from 93 participants. The study found that specific vocal features, such as pitch, rhythm, and pauses, were indicative of mood states, suggesting the potential of voice analysis in mood disorder diagnostics.

Market Dynamics:

Driver:

Increasing mental health disorder prevalence

The prevalence of mental health issues is raising quickly throughout the world, especially mood disorders like bipolar disorder, anxiety, and depression. Women are disproportionately affected by depression, which affects over 280 million people globally, according to the World Health Organization. Accurate diagnosis and intervention may be delayed by the use of subjective evaluations and self-reports in traditional diagnostic techniques. There is an immediate need for novel, trustworthy, and scalable diagnostic tools as a result of this increasing prevalence. Moreover, a promising approach to early detection, ongoing monitoring, and better management of mental health disorders worldwide is voice-based diagnostics, which examine minute vocal changes linked to emotional states.

Restraint:

Data security and privacy issues

Voice-based diagnostics present serious privacy issues since they necessitate the gathering and examination of private health and personal information. Patients may be concerned that their vocal and emotional data may be misused, accessed without authorization, or compromised. Although regulatory frameworks such as GDPR in Europe and HIPAA in the United States enforce stringent compliance standards, regional variations pose difficulties for global implementation. Providing voice data with secure storage, encrypted transmission, and appropriate anonymization is expensive and technically challenging. Furthermore, adoption may be slowed by public mistrust of digital health platforms. Rapid market expansion may be limited if companies are unable to maintain patient trust and comply with legal requirements while balancing innovation with strict data protection measures.

Opportunity:

Extension of remote monitoring and telehealth

The quick development of telehealth offers a big chance for voice-based diagnosis of mood disorders. Integrating voice analysis tools into telemedicine platforms can enable ongoing mental health monitoring without requiring in-person visits, as patients increasingly seek out remote consultations. Clinicians can use remote monitoring to monitor subtle behavioral and emotional changes over time, allowing for early intervention and individualized treatment plans. Additionally, by lowering barriers for patients in underserved or rural areas, this integration broadens the market. The COVID-19 pandemic and other events have accelerated the demand for digital health solutions. As a result, telehealth adoption offers a favorable environment for the global deployment of scalable, voice-based mental health diagnostics.

Threat:

Strong rivalry and quick changes in technology

The market is getting more and more competitive, with established tech firms, startups, and providers of healthcare solutions fighting for market share. If current tools do not adapt to the rapid advancements in technology, they may soon become outdated. Competitors may gain market share by providing more precise, affordable, or user-friendly solutions, which would put pressure on margins and impede growth. Although it raises operating costs and risk, ongoing R&D investment is necessary to remain relevant. Due to the rapid advancement of AI, natural language processing, and digital health technologies, businesses must constantly adjust or risk falling behind more sophisticated diagnostic tools.

Covid-19 Impact:

The Voice Mood Disorder Dx market was significantly impacted by the COVID-19 pandemic, which presented both opportunities and difficulties. Globally, mental health problems increased as a result of social isolation, lockdowns, and elevated stress levels, which raised the need for early mood disorder detection and monitoring. Social distancing policies made it more difficult to conduct traditional in-person evaluations, which sped up the use of non-invasive, remote diagnostic tools like voice-based ones. AI-powered voice analysis was incorporated into telehealth platforms to facilitate early intervention, ongoing monitoring, and individualized treatment. However, the abrupt change also brought to light issues with digital literacy, infrastructure, and data privacy that businesses needed to resolve in order to continue growing.

The cloud segment is expected to be the largest during the forecast period

The cloud segment is expected to account for the largest market share during the forecast period because of their scalability, flexibility, and cheaper infrastructure costs than on-premise deployments, cloud-based solutions are recommended. Without requiring a lot of hardware at the user's location, they make it possible to collect, process, and analyze voice biomarker data in real time. Cloud platforms facilitate machine learning models and AI-driven analytics, enabling remote access and ongoing monitoring for both patients and clinicians. Furthermore, cloud solutions improve accessibility and adoption by enabling smooth integration with mobile apps and telehealth services. Centralized algorithm updates also guarantee more precise, current diagnostic capabilities, which propel the segment's market leadership.

The telehealth providers segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the telehealth providers segment is predicted to witness the highest growth rate. The need for telehealth platforms that can provide voice-based mood and mental health assessments has increased dramatically due to the growing use of remote healthcare solutions, particularly in the wake of COVID-19. These providers close gaps in mental health care, especially in underserved areas, by allowing patients to obtain diagnostic services from the convenience of their homes. Moreover, the fastest-growing market segment is telehealth due to developments in AI-driven voice analysis tools that enable real-time, precise mood detection, improving early intervention and individualized treatment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by the region's substantial investment in mental health research, high adoption of digital health technologies, and sophisticated healthcare infrastructure. Leading healthcare providers, diagnostic firms, and encouraging regulatory environments all contribute to the market's expansion. Widespread adoption has also been aided by growing knowledge of mental health issues and the use of voice-based and AI-based diagnostic tools in clinical settings. Additionally, North America's leadership in the global voice mood disorder diagnostics market is cemented by robust government initiatives and the rising demand for remote and customized diagnostic solutions.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Digital diagnostic solutions are being adopted in nations like China, India, and Japan due to factors like rapid urbanization, rising internet and smartphone penetration, and increased awareness of mental health issues. The incorporation of AI-based voice analysis tools for the early detection of mood disorders and increased investments in healthcare infrastructure are also driving market expansion. Furthermore, Asia-Pacific is emerging as the region with the fastest rate of growth in the global voice mood disorder diagnostics market thanks to supportive government initiatives, the growth of telehealth, and the development of mobile health platforms.

Key players in the market

Some of the key players in Voice Mood Disorder Dx Market include Cogito Corporation, Sonde Health, Ellipsis Health Inc, Psyrin, Canary Speech Inc, Beyond Verbal, Thymia, Kintsugi, CompanionMx, LangAware, Vocalis Health, Winterlight Labs, Mindstrong Health, NeuroLex Laboratories and Aiberry Inc.

Key Developments:

In June 2025, Ellipsis Health announced it has raised $45 million in a new Series A funding round. Salesforce, Khosla Ventures and CVS Health Ventures led the round. Mitsui Global Investment, Collier, E12 and AME Cloud Ventures participated in the round. The company is also introducing Sage, an AI care manager aimed at supporting patients with physical, behavioral and social needs.

In August 2024, Sonde Health announces it has been selected by AFWERX for a SBIR Phase II contract in the amount of $1,215,606 focused on Sonde Mental Fitness to address the most pressing challenges in the Department of the Air Force (DAF).

In October 2023, Cogito announced it has secured new funding to help advance features aimed at better supporting agents in the contact center and improving customer experiences. The funding round, including repeat commitments from two major investors, validates the importance of delivering strong employee and customer experiences in today's turbulent economic climate.

Components Covered:

  • Solutions
  • Services

Deployment Modes Covered:

  • Cloud
  • On-premise

Disorder Types Covered:

  • Depression
  • Bipolar Disorder
  • Anxiety Disorders
  • Post-Traumatic Stress Disorder (PTSD)
  • Schizophrenia
  • Other Disorder Types

Biomarker Types Covered:

  • Frequency-based Biomarkers
  • Amplitude-based Biomarkers
  • Vocal Fold Dynamics-based Biomarkers
  • Other Biomarker Types

Technologies Covered:

  • Voice Biomarkers
  • Natural Language Processing (NLP)
  • Machine Learning Algorithms
  • Acoustic Signal Processing

Applications Covered:

  • Cognitive
  • Behavioral

End Users Covered:

  • Hospitals & Clinics
  • Diagnostic Centers
  • Telehealth Providers
  • Research Institutions
  • Mental Health Apps & Platforms

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Voice Mood Disorder Dx Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
  • 5.3 Services

6 Global Voice Mood Disorder Dx Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-premise

7 Global Voice Mood Disorder Dx Market, By Disorder Type

  • 7.1 Introduction
  • 7.2 Depression
  • 7.3 Bipolar Disorder
  • 7.4 Anxiety Disorders
  • 7.5 Post-Traumatic Stress Disorder (PTSD)
  • 7.6 Schizophrenia
  • 7.7 Other Disorder Types

8 Global Voice Mood Disorder Dx Market, By Biomarker Type

  • 8.1 Introduction
  • 8.2 Frequency-based Biomarkers
  • 8.3 Amplitude-based Biomarkers
  • 8.4 Vocal Fold Dynamics-based Biomarkers
  • 8.5 Other Biomarker Types

9 Global Voice Mood Disorder Dx Market, By Technology

  • 9.1 Introduction
  • 9.2 Voice Biomarkers
  • 9.3 Natural Language Processing (NLP)
  • 9.4 Machine Learning Algorithms
  • 9.5 Acoustic Signal Processing

10 Global Voice Mood Disorder Dx Market, By Application

  • 10.1 Introduction
  • 10.2 Cognitive
  • 10.3 Behavioral

11 Global Voice Mood Disorder Dx Market, By End User

  • 11.1 Introduction
  • 11.2 Hospitals & Clinics
  • 11.3 Diagnostic Centers
  • 11.4 Telehealth Providers
  • 11.5 Research Institutions
  • 11.6 Mental Health Apps & Platforms

12 Global Voice Mood Disorder Dx Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Cogito Corporation
  • 14.2 Sonde Health
  • 14.3 Ellipsis Health Inc
  • 14.4 Psyrin
  • 14.5 Canary Speech Inc
  • 14.6 Beyond Verbal
  • 14.7 Thymia
  • 14.8 Kintsugi
  • 14.9 CompanionMx
  • 14.10 LangAware
  • 14.11 Vocalis Health
  • 14.12 Winterlight Labs
  • 14.13 Mindstrong Health
  • 14.14 NeuroLex Laboratories
  • 14.15 Aiberry Inc

List of Tables

  • Table 1 Global Voice Mood Disorder Dx Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Voice Mood Disorder Dx Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Voice Mood Disorder Dx Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global Voice Mood Disorder Dx Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global Voice Mood Disorder Dx Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 6 Global Voice Mood Disorder Dx Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 7 Global Voice Mood Disorder Dx Market Outlook, By On-premise (2024-2032) ($MN)
  • Table 8 Global Voice Mood Disorder Dx Market Outlook, By Disorder Type (2024-2032) ($MN)
  • Table 9 Global Voice Mood Disorder Dx Market Outlook, By Depression (2024-2032) ($MN)
  • Table 10 Global Voice Mood Disorder Dx Market Outlook, By Bipolar Disorder (2024-2032) ($MN)
  • Table 11 Global Voice Mood Disorder Dx Market Outlook, By Anxiety Disorders (2024-2032) ($MN)
  • Table 12 Global Voice Mood Disorder Dx Market Outlook, By Post-Traumatic Stress Disorder (PTSD) (2024-2032) ($MN)
  • Table 13 Global Voice Mood Disorder Dx Market Outlook, By Schizophrenia (2024-2032) ($MN)
  • Table 14 Global Voice Mood Disorder Dx Market Outlook, By Other Disorder Types (2024-2032) ($MN)
  • Table 15 Global Voice Mood Disorder Dx Market Outlook, By Biomarker Type (2024-2032) ($MN)
  • Table 16 Global Voice Mood Disorder Dx Market Outlook, By Frequency-based Biomarkers (2024-2032) ($MN)
  • Table 17 Global Voice Mood Disorder Dx Market Outlook, By Amplitude-based Biomarkers (2024-2032) ($MN)
  • Table 18 Global Voice Mood Disorder Dx Market Outlook, By Vocal Fold Dynamics-based Biomarkers (2024-2032) ($MN)
  • Table 19 Global Voice Mood Disorder Dx Market Outlook, By Other Biomarker Types (2024-2032) ($MN)
  • Table 20 Global Voice Mood Disorder Dx Market Outlook, By Technology (2024-2032) ($MN)
  • Table 21 Global Voice Mood Disorder Dx Market Outlook, By Voice Biomarkers (2024-2032) ($MN)
  • Table 22 Global Voice Mood Disorder Dx Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 23 Global Voice Mood Disorder Dx Market Outlook, By Machine Learning Algorithms (2024-2032) ($MN)
  • Table 24 Global Voice Mood Disorder Dx Market Outlook, By Acoustic Signal Processing (2024-2032) ($MN)
  • Table 25 Global Voice Mood Disorder Dx Market Outlook, By Application (2024-2032) ($MN)
  • Table 26 Global Voice Mood Disorder Dx Market Outlook, By Cognitive (2024-2032) ($MN)
  • Table 27 Global Voice Mood Disorder Dx Market Outlook, By Behavioral (2024-2032) ($MN)
  • Table 28 Global Voice Mood Disorder Dx Market Outlook, By End User (2024-2032) ($MN)
  • Table 29 Global Voice Mood Disorder Dx Market Outlook, By Hospitals & Clinics (2024-2032) ($MN)
  • Table 30 Global Voice Mood Disorder Dx Market Outlook, By Diagnostic Centers (2024-2032) ($MN)
  • Table 31 Global Voice Mood Disorder Dx Market Outlook, By Telehealth Providers (2024-2032) ($MN)
  • Table 32 Global Voice Mood Disorder Dx Market Outlook, By Research Institutions (2024-2032) ($MN)
  • Table 33 Global Voice Mood Disorder Dx Market Outlook, By Mental Health Apps & Platforms (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.