The Psychiatric Digital Biomarkers Market Size is valued at USD 513.3 Mn in 2023 and is predicted to reach USD 2,879.7 Mn by the year 2031 at an 24.7% CAGR during the forecast period for 2024-2031.
The global market for psychiatric digital biomarkers focuses on the creation, application, and utilization of digital technologies designed to measure and analyze physiological and behavioral data for diagnosing, tracking, and treating mental illnesses. These technologies aim to identify potential mental health issues before they become severe, providing a quantitative approach to mental health assessment compared to traditional subjective methods. By tracking mental health changes over time, these biomarkers enable timely interventions and facilitate the tailoring of treatment plans based on individual biomarker patterns.
Large-scale user-generated data gathering and utilization as "digital biomarkers" are made possible by the ubiquity of digital devices like wearables and smartphones. These resources might also encourage more mental health patients to take part in research, which would lead to the creation of findings that have personal significance for the patients. In 2022, Frontiers published digital biomarkers in psychiatric research of data protection qualifications in a complex ecosystem, showing the rapid advancement of psychiatric digital biomarkers has brought with it a complex landscape of legal and regulatory considerations. Given the sensitive nature of mental health data, and the potential implications of these technologies, robust frameworks are essential.
The Psychiatric Digital Biomarkers Market is segmented based on the type, clinical practice, and end-use. Based on the type, the market is segmented into wearable, mobile-based applications, sensors, and others. Based on the clinical practice, the market is segmented into diagnostic psychiatric digital biomarkers, monitoring psychiatric digital biomarkers, predictive and prognostic psychiatric digital biomarkers, others. Based on the end use, the market is segmented into healthcare companies, healthcare providers, payers, and others.
Based on the type, the market is segmented into wearable, mobile-based applications, sensors, and others. Among these, the wearable devices segment is expected to have the highest growth rate during the forecast period. These devices are widely used due to their ability to continuously collect physiological data, such as heart rate, sleep patterns, and activity levels, which are crucial for monitoring mental health conditions. This ongoing data collection offers insightful information on a patient's mental health condition, including changes in mood, sleep habits, and degree of physical activity. Wearables are dominating the market because of their attractiveness as a tracking and management tool for psychiatric illnesses due to these characteristics.
Based on the clinical practice, the market is segmented into diagnostic psychiatric digital biomarkers, monitoring psychiatric digital biomarkers, predictive and prognostic psychiatric digital biomarkers, others. Among these, the monitoring psychiatric digital biomarkers segment dominates the market. This segment leads the market due to the growing demand for continuous, real-time monitoring of mental health conditions. Monitoring biomarkers, such as physiological data from wearables or behavioral data from mobile applications, helps track the progression of mental health conditions and assess treatment effectiveness.
Mental health issues are prevalent in North America, driving demand for innovative solutions for diagnosis, monitoring, and treatment. This high prevalence encourages investment in and development of psychiatric digital biomarkers. North America is a hub for technological innovation, with numerous tech companies and startups focusing on digital health solutions. This innovation drives the development and commercialization of new psychiatric digital biomarkers.
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Report Attribute |
Specifications |
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Market Size Value In 2023 |
USD 513.3 Mn |
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Revenue Forecast In 2031 |
USD 2,879.7 Mn |
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Growth Rate CAGR |
CAGR of 24.7% from 2024 to 2031 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2024 to 2031 |
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Historic Year |
2019 to 2023 |
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Forecast Year |
2024-2031 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Type, Clinical Practice, End use |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; South East Asia |
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Competitive Landscape |
Koneksa, Biogen Inc., BioSensics, Empatica Inc., Vivo Sense, IXICO plc, Huma, kintsugi health Sonde Health, Inc., Clario, icometrix, iMediSync, BEATS Medical |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Psychiatric Digital Biomarkers Market Snapshot
Chapter 4. Global Psychiatric Digital Biomarkers Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis
5.1. by Type & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:
5.2.1. Wearable
5.2.2. Mobile based Applications
5.2.3. Sensors
5.2.4. Others
Chapter 6. Market Segmentation 2: Clinical Practice Estimates & Trend Analysis
6.1. Clinical Practice & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following Clinical Practice:
6.2.1. Diagnostic Psychiatric Digital Biomarkers
6.2.2. Monitoring Psychiatric Digital Biomarkers
6.2.3. Predictive and Prognostic Psychiatric Digital Biomarkers
6.2.4. Other's
Chapter 7. Market Segmentation 3: by End Use Estimates & Trend Analysis
7.1. by End Use & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End Use:
7.2.1. Healthcare companies
7.2.2. Healthcare Providers
7.2.3. Payers
7.2.4. Others
Chapter 8. Psychiatric Digital Biomarkers Market Segmentation 4: Regional Estimates & Trend Analysis
8.1. North America
8.1.1. North America Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.1.2. North America Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts Clinical Practice, 2024-2031
8.1.3. North America Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2024-2031
8.1.4. North America Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031
8.2. Europe
8.2.1. Europe Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.2.2. Europe Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts Clinical Practice, 2024-2031
8.2.3. Europe Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2024-2031
8.2.4. Europe Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031
8.3. Asia Pacific
8.3.1. Asia Pacific Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.3.2. Asia Pacific Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts Clinical Practice, 2024-2031
8.3.3. Asia-Pacific Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2024-2031
8.3.4. Asia Pacific Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031
8.4. Latin America
8.4.1. Latin America Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.4.2. Latin America Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts Clinical Practice, 2024-2031
8.4.3. Latin America Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2024-2031
8.4.4. Latin America Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031
8.5. Middle East & Africa
8.5.1. Middle East & Africa Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
8.5.2. Middle East & Africa Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts Clinical Practice, 2024-2031
8.5.3. Middle East & Africa Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2024-2031
8.5.4. Middle East & Africa Psychiatric Digital Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031
Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. Koneksa
9.2.2. Biogen Inc.
9.2.3. BioSensics
9.2.4. Empatica Inc.
9.2.5. Vivo Sense
9.2.6. IXICO plc
9.2.7. Huma
9.2.8. kintsugi health
9.2.9. Sonde Health, Inc.
9.2.10. Clario
9.2.11. iMediSync
9.2.12. BEATS Medical
9.2.13. Other Prominent Players
Global Psychiatric Digital Biomarkers Market - By Type
Global Psychiatric Digital Biomarkers Market - Clinical Practice
Global Psychiatric Digital Biomarkers Market – End Use
Global Psychiatric Digital Biomarkers Market – By Region
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
