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市场调查报告书
商品编码
1802939

2032 年语音情绪障碍诊断市场预测：按组件、部署模式、疾病类型、生物标记类型、技术、应用、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球语音活化情绪障碍诊断市场预计在 2025 年价值 5.9992 亿美元，到 2032 年将达到 15.1968 亿美元，预测期内的复合年增长率为 14.2%。

语音情绪障碍诊断 (Voice Mood Disorders Dx) 体现了人工智慧主导的分析和基于语音的生物标记物在诊断和追踪双相情感障碍、焦虑症和忧郁症等情绪障碍方面的应用日益广泛。声调、音高、节奏、重音和停顿只是语音模式中细微变化的几个例子，这些变化往往揭示了传统临床评估难以识别的潜在情绪和认知状态。透过使用自然语言处理 (NLP) 和机器学习分析这些特征，语音情绪障碍诊断系统提供了非侵入性、可扩展的即时心理健康评估。这项技术可以实现早期发现、持续监测以及与远端医疗平台的集成，从而提高患者的便利性并制定个人化治疗方案。

《神经病学前沿》发表的一项研究透过分析来自93位参与者的1337条音频讯息，证明了基于语音的机器学习模型能够诊断抑郁和躁狂情绪状态。研究发现，音调、节奏和停顿等特定的声音特征可以指示情绪状态，这表明语音分析在诊断情绪障碍方面具有潜力。

精神健康障碍盛行率不断上升

在全球范围内，精神健康问题的盛行率正在迅速上升，尤其是躁郁症、焦虑症和忧郁症心境障碍。根据世界卫生组织 (WHO) 统计，忧郁症影响全球整体超过 2.8 亿人，其中女性患者比例特别严重。传统的诊断方法依赖主观评估和自我报告，这可能会延迟准确的诊断和介入。随着精神疾病盛行率的不断上升，迫切需要新型、可靠且可扩充性的诊断工具。此外，基于语音的诊断技术可以检查与情绪状态相关的细微声音变化，为全球精神疾病的早期发现、持续监测和更有效的管理提供了一种有前景的方法。

资料安全和隐私问题

基于语音的诊断引发了严重的隐私问题，因为它们需要收集和检查个人健康和个人资讯。患者可能担心他们的声音和情绪数据可能被滥用、未经许可访问或面临风险。欧洲的《一般资料保护规范》（GDPR）和美国的《健康保险流通与责任法案》（HIPAA）等法律规范执行严格的合规标准，但地区差异对全球实施构成了挑战。安全储存、加密、传输和正确匿名化语音资料既昂贵又具有挑战性。此外，大众对数位健康平台的不信任可能会减缓其采用。如果公司无法在技术创新和严格的资料保护措施之间取得平衡，同时维护患者的信任并遵守法律要求，那么快速的市场扩张可能会受到限制。

远端监控和远端医疗的扩展

远端医疗的快速发展为基于语音的情绪障碍诊断提供了重要机会。随着患者越来越多地寻求远端咨询，将语音分析工具整合到远端医疗平台中，可以实现持续的心理健康监测，而无需面对面咨询。治疗师可以使用远端监控来监测患者随时间推移的细微行为和情绪变化，从而实现早期疗育和个人化治疗方案。此外，这种整合也降低了医疗资源匮乏地区和农村地区患者的就诊门槛，从而扩大了市场。新冠疫情和其他事件加速了对数位医疗解决方案的需求。因此，远端保健的普及为可扩展的语音心理健康诊断的全球部署提供了有利环境。

强大的竞争对手和快速的技术变革

市场竞争日益激烈，老牌科技公司、新兴企业和医疗解决方案提供者都在争夺市场占有率。如果现有工具无法跟上科技的快速发展，很快就会过时。竞争对手可能会透过提供更精准、更实惠、更人性化的解决方案来抢占市场占有率，从而挤压利润空间并抑製成长。儘管营运成本和风险不断增加，但持续的研发投入对于保持竞争力至关重要。人工智慧、自然语言处理和数位健康技术的快速发展意味着企业必须不断调整，否则就有可能落后于更先进的诊断工具。

COVID-19影响：

新冠疫情为语音心境障碍诊断市场带来了重大衝击，既带来了机会，也带来了挑战。在全球范围内，社交隔离、居家隔离和压力水平的升高导致心理健康问题增多，也凸显了早期发现和监测心境障碍的需求。社交隔离政策使得传统的面对面评估更加难以进行，加速了语音等非侵入式远距离诊断工具的使用。人工智慧语音分析已被整合到远端医疗平台中，以促进早期疗育、持续监测和个人化治疗。然而，这种快速变化也凸显了数位素养、基础设施和资料隐私等问题，企业必须解决这些问题才能继续发展。

预计云端领域将成为预测期内最大的市场

预计云端领域将在预测期内占据最大市场占有率，这得益于其扩充性、灵活性以及与本地部署相比更低的基础设施成本。语音生物标记数据可以即时收集、处理和分析，无需在用户位置安装大量硬体。云端平台支援机器学习模型和人工智慧主导的分析，为患者和云端基础医生提供远端存取和持续监控。此外，云端解决方案能够与行动应用程式和远端医疗服务无缝集成，从而提高可访问性和采用率。集中式演算法更新还能确保更准确、更及时的诊断能力，进而巩固其在该领域的市场领先地位。

预计远端医疗提供者领域在预测期内将以最高复合年增长率成长

远端医疗提供者领域预计将在预测期内实现最高成长率。对能够提供语音情绪和心理健康评估的远端保健平台的需求急剧增长，尤其是在新冠疫情爆发后远距医疗解决方案的使用日益增多的情况下。这些提供者正在填补心理健康领域的空白，尤其是在服务匮乏的地区，让患者能够在舒适的家中接受诊断服务。此外，由于人工智慧主导的语音分析工具的发展，远端医疗已成为成长最快的细分市场，这些工具能够即时准确地检测情绪，从而改善早期疗育和个人化治疗。

比最大的地区

在预测期内，北美预计将占据最大的市场占有率，这得益于其在心理健康研究方面的大量投入、数位医疗技术的广泛应用以及先进的医疗基础设施。主要的医疗保健提供者、诊断公司以及良好的法规环境正在推动市场扩张。人们对心理健康问题的认识不断提高，以及语音和人工智慧诊断工具在临床环境中的使用，也推动了其应用。此外，强有力的政府措施以及对远距离诊断和客製化诊断解决方案日益增长的需求，巩固了北美在全球语音情绪障碍诊断市场的领导地位。

复合年增长率最高的地区：

预计亚太地区将在预测期内实现最高的复合年增长率。由于快速都市化、网路和智慧型手机普及率上升以及人们对心理健康问题的认识不断提高等因素，中国、印度和日本等国家正在采用数位诊断解决方案。基于人工智慧的语音分析工具用于早期检测情绪障碍，以及医疗基础设施投资的增加，也正在推动市场扩张。此外，在政府扶持政策、远端医疗的成长以及行动医疗平台发展的推动下，亚太地区正在成为全球语音情绪障碍诊断市场成长最快的地区。

提供免费客製化：

此报告的订阅者可以使用以下免费自订选项之一：

  • 公司简介
    • 全面分析其他市场参与者（最多 3 家公司）
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 二手研究资料
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球语音情绪障碍诊断市场（依组成部分）

  • 解决方案
  • 服务

6. 全球音讯情绪障碍 DX 市场（依部署模式）

  • 云
  • 本地

7. 全球语音情绪障碍 DX 市场（依疾病类型）

  • 忧郁症
  • 躁郁症
  • 焦虑症
  • 创伤后压力症候群（PTSD）
  • 思觉失调症
  • 其他疾病类型

8. 全球音频情绪障碍诊断市场（依生物标记类型）

  • 基于频率的生物标记
  • 基于振幅的生物标记
  • 基于声带动力学的生物标誌物
  • 其他生物标记类型

9. 全球音讯情绪障碍 DX 市场（按技术）

  • 声音生物标誌物
  • 自然语言处理（NLP）
  • 机器学习演算法
  • 声学讯号处理

第十章。全球音讯情绪障碍 DX 市场（按应用）

  • 认识
  • 行动

第 11 章。全球音讯情绪障碍诊断市场（按最终用户）

  • 医院和诊所
  • 诊断中心
  • 远端医疗提供者
  • 研究机构
  • 心理健康应用程式和平台

12. 全球语音情绪障碍诊断市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十三章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十四章 公司概况

  • 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.