The global market for Personalized Psychiatry was valued at US$4.4 Billion in 2024 and is projected to reach US$7.5 Billion by 2030, growing at a CAGR of 9.3% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Personalized Psychiatry market.
Growing evidence in neuroscience and genomics is enabling more targeted approaches to disorders such as depression, schizophrenia, bipolar disorder, and anxiety. Tools like polygenic risk scores, EEG-based pattern recognition, and machine learning models are increasingly being integrated into psychiatric evaluations. These advancements are improving diagnostic accuracy, reducing adverse drug reactions, and enhancing therapeutic outcomes - particularly in patients with treatment-resistant conditions or comorbidities.
Simultaneously, digital phenotyping is gaining traction as a real-time, non-invasive tool for monitoring mood, cognition, and behavior through smartphone sensors, voice analysis, and wearable devices. These technologies generate continuous behavioral data that can detect early signs of relapse, measure treatment response, and support adaptive interventions. Integration of digital biomarkers into clinical workflows is enabling dynamic, data-driven psychiatry that moves beyond episodic consultations toward longitudinal, patient-specific care.
AI and machine learning are also facilitating more robust prediction models for mental health conditions, enabling early intervention and stratified risk profiling. These algorithms are being trained on multimodal datasets - including genomics, imaging, EHRs, and wearable outputs - to identify subtypes within traditional diagnostic categories. This nuanced understanding of psychiatric pathophysiology is guiding the development of targeted therapies and supporting the emergence of precision mental health platforms that integrate diagnostics, therapeutics, and patient monitoring in a closed-loop system.
Expanding access to genomic testing, proliferation of digital health startups, and growing academic-industry collaborations are accelerating the commercialization of personalized psychiatric tools. Moreover, the societal cost of ineffective psychiatric care - reflected in lost productivity, relapse rates, and healthcare expenditures - is incentivizing stakeholders to adopt predictive, personalized treatment models. As research continues to validate biomarkers and refine classification systems, personalized psychiatry is poised to become a foundational component of next-generation mental health care.
Segments: Type (Products, Services, Software); Therapeutic Area (Depression, Anxiety, Bipolar Disorder, Schizophrenia, Addiction, Other Therapeutic Areas).
Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
Global Personalized Psychiatry Market - Key Trends & Drivers Summarized
How Is the Shift Toward Precision Mental Health Transforming the Practice of Psychiatry?
Personalized psychiatry, also known as precision psychiatry, is redefining the landscape of mental health treatment by leveraging genetic, neurobiological, and environmental data to guide individualized care. Traditional psychiatric treatment has long struggled with variability in drug efficacy, trial-and-error prescriptions, and poorly understood diagnostic boundaries. Personalized psychiatry seeks to overcome these limitations through biomarker-based diagnosis, pharmacogenomic testing, and neuroimaging-guided treatment planning - offering the potential to match the right intervention to the right patient at the right time.Growing evidence in neuroscience and genomics is enabling more targeted approaches to disorders such as depression, schizophrenia, bipolar disorder, and anxiety. Tools like polygenic risk scores, EEG-based pattern recognition, and machine learning models are increasingly being integrated into psychiatric evaluations. These advancements are improving diagnostic accuracy, reducing adverse drug reactions, and enhancing therapeutic outcomes - particularly in patients with treatment-resistant conditions or comorbidities.
Why Are Pharmacogenomics and Digital Phenotyping Reshaping Psychiatric Intervention Strategies?
Pharmacogenomics has become a cornerstone of personalized psychiatry, offering clinicians actionable insights into how individual genetic profiles influence responses to psychiatric medications. Commercially available gene panels now analyze variations in CYP450 enzymes, serotonin transporters, and other pharmacodynamic targets, guiding the selection and dosing of antidepressants, antipsychotics, and mood stabilizers. This approach minimizes side effects, speeds up therapeutic response, and reduces the burden of trial-based prescribing practices.Simultaneously, digital phenotyping is gaining traction as a real-time, non-invasive tool for monitoring mood, cognition, and behavior through smartphone sensors, voice analysis, and wearable devices. These technologies generate continuous behavioral data that can detect early signs of relapse, measure treatment response, and support adaptive interventions. Integration of digital biomarkers into clinical workflows is enabling dynamic, data-driven psychiatry that moves beyond episodic consultations toward longitudinal, patient-specific care.
How Are Regulatory Bodies, Reimbursement Systems, and AI Tools Influencing Clinical Adoption?
Regulatory progress is catalyzing market maturity in personalized psychiatry. Agencies such as the FDA and EMA have begun approving pharmacogenomic-based drug labeling and companion diagnostics in psychiatric care. In the U.S., CMS has expanded coverage for select pharmacogenetic tests, while several private insurers are reimbursing validated gene panels in major depressive disorder. These policy developments are encouraging broader clinical uptake and investment in companion diagnostics and AI-powered decision support tools.AI and machine learning are also facilitating more robust prediction models for mental health conditions, enabling early intervention and stratified risk profiling. These algorithms are being trained on multimodal datasets - including genomics, imaging, EHRs, and wearable outputs - to identify subtypes within traditional diagnostic categories. This nuanced understanding of psychiatric pathophysiology is guiding the development of targeted therapies and supporting the emergence of precision mental health platforms that integrate diagnostics, therapeutics, and patient monitoring in a closed-loop system.
What’s Driving the Global Growth of the Personalized Psychiatry Market?
The growth in the personalized psychiatry market is driven by several factors including the rising prevalence of mental health disorders, growing awareness of interindividual treatment variability, and the convergence of genomics, neuroimaging, and digital health technologies. A primary growth driver is the global shift toward value-based care and outcome-driven reimbursement, which favors precise and effective treatment strategies over broad-spectrum pharmacotherapy.Expanding access to genomic testing, proliferation of digital health startups, and growing academic-industry collaborations are accelerating the commercialization of personalized psychiatric tools. Moreover, the societal cost of ineffective psychiatric care - reflected in lost productivity, relapse rates, and healthcare expenditures - is incentivizing stakeholders to adopt predictive, personalized treatment models. As research continues to validate biomarkers and refine classification systems, personalized psychiatry is poised to become a foundational component of next-generation mental health care.
Report Scope
The report analyzes the Personalized Psychiatry market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.Segments: Type (Products, Services, Software); Therapeutic Area (Depression, Anxiety, Bipolar Disorder, Schizophrenia, Addiction, Other Therapeutic Areas).
Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
Key Insights:
- Market Growth: Understand the significant growth trajectory of the Personalized Psychiatry Products segment, which is expected to reach US$4.3 Billion by 2030 with a CAGR of a 8.3%. The Personalized Psychiatry Services segment is also set to grow at 10.2% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, valued at $1.2 Billion in 2024, and China, forecasted to grow at an impressive 12.6% CAGR to reach $1.5 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Personalized Psychiatry Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Personalized Psychiatry Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Personalized Psychiatry Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of players such as 23andMe, AltheaDx, Inc., Arcara Personalized Psychiatry, BrainsWay Ltd., BrightQuest Treatment Centers and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Some of the 43 companies featured in this Personalized Psychiatry market report include:
- 23andMe
- AltheaDx, Inc.
- Arcara Personalized Psychiatry
- BrainsWay Ltd.
- BrightQuest Treatment Centers
- CBT Plus
- Genomind
- GreyBird Ventures
- HMNC Holding GmbH
- Karuna Therapeutics
- Mindstrong
- Myriad Genetics
- Peak Mental Wellness
- Pear Therapeutics
- Spring Health
- Starling Minds
- Sunovion Pharmaceuticals Inc.
- Tempus AI
- WayForward
- Woebot Health
Tariff Impact Analysis: Key Insights for 2025
Global tariff negotiations across 180+ countries are reshaping supply chains, costs, and competitiveness. This report reflects the latest developments as of April 2025 and incorporates forward-looking insights into the market outlook.The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
What's Included in This Edition:
- Tariff-adjusted market forecasts by region and segment
- Analysis of cost and supply chain implications by sourcing and trade exposure
- Strategic insights into geographic shifts
Buyers receive a free July 2025 update with:
- Finalized tariff impacts and new trade agreement effects
- Updated projections reflecting global sourcing and cost shifts
- Expanded country-specific coverage across the industry
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIII. MARKET ANALYSISCANADAITALYSPAINRUSSIAREST OF EUROPESOUTH KOREAREST OF ASIA-PACIFICARGENTINABRAZILMEXICOREST OF LATIN AMERICAIRANISRAELSAUDI ARABIAUNITED ARAB EMIRATESREST OF MIDDLE EASTIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
UNITED STATES
JAPAN
CHINA
EUROPE
FRANCE
GERMANY
UNITED KINGDOM
ASIA-PACIFIC
AUSTRALIA
INDIA
LATIN AMERICA
MIDDLE EAST
AFRICA
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- 23andMe
- AltheaDx, Inc.
- Arcara Personalized Psychiatry
- BrainsWay Ltd.
- BrightQuest Treatment Centers
- CBT Plus
- Genomind
- GreyBird Ventures
- HMNC Holding GmbH
- Karuna Therapeutics
- Mindstrong
- Myriad Genetics
- Peak Mental Wellness
- Pear Therapeutics
- Spring Health
- Starling Minds
- Sunovion Pharmaceuticals Inc.
- Tempus AI
- WayForward
- Woebot Health
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 289 |
| Published | June 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 4.4 Billion |
| Forecasted Market Value ( USD | $ 7.5 Billion |
| Compound Annual Growth Rate | 9.3% |
| Regions Covered | Global |
