Mental health funding by the NIH was around ************ U.S. dollars in fiscal year 2023. This graph shows the total mental health funding by the National Institutes for Health (NIH) from FY 2013 to FY 2023 and estimates for FY 2024 and FY 2025.

It has been predicted that by the year 2020 total U.S. expenditure on mental health services will reach some 238 billion dollars. Mental health remains a relevant and difficult issue in the United States. Common mental disorders in the U.S. include anxiety disorders, depression, bipolar disorder, obsessive compulsive disorder (OCD), and dementia. As of 2017, around 15 percent of males and 22 percent of females reported some mental illness in the past year.

Depression

Depression is one of the most common and well-known mental disorders. Depression is a severe mood disorder marked by extended and persistent feelings of sadness, anxiety, hopelessness, irritability, worthlessness, hopelessness and a loss of interest in hobbies and activities. It is estimated that around 8 percent of adults in the U.S. suffer from depression. Depression is more common among women than men, with around 9.3 percent of women suffering from depression, compared to 5.4 percent of men.

Treatment

Mental health disorders are usually treated through therapy, medication, or a combination of both, depending on the disorder and severity. Access to quality and inexpensive mental health treatment is essential, but often lacking. As of 2017, the United States had around 11,582 mental health treatment facilities. However, it has been found that around 42 percent of adults with an unmet need for mental health care stated they did not receive mental health services in the past year because they could not afford the cost.

In fiscal year 2023, research funding by the NIH (National Institutes for Health) for mental illness amounted to some 1.25 billion U.S. dollars. This statistic illustrates the research funding for mental illness by the NIH in the United States in fiscal years 2016 to 2023 and estimates for FYs 2024 and 2025.

Financial overview and grant giving statistics of Fund for Mental Health

This map shows the access to mental health providers in every county and state in the United States according to the 2024 County Health Rankings & Roadmaps data for counties, states, and the nation. It translates the numbers to explain how many additional mental health providers are needed in each county and state. According to the data, in the United States overall there are 319 people per mental health provider in the U.S. The maps clearly illustrate that access to mental health providers varies widely across the country.The data comes from this County Health Rankings 2024 layer. An updated layer is usually published each year, which allows comparisons from year to year. This map contains layers for 2024 and also for 2022 as a comparison.County Health Rankings & Roadmaps (CHR&R), a program of the University of Wisconsin Population Health Institute with support provided by the Robert Wood Johnson Foundation, draws attention to why there are differences in health within and across communities by measuring the health of nearly all counties in the nation. This map's layers contain 2024 CHR&R data for nation, state, and county levels. The CHR&R Annual Data Release is compiled using county-level measures from a variety of national and state data sources. CHR&R provides a snapshot of the health of nearly every county in the nation. A wide range of factors influence how long and how well we live, including: opportunities for education, income, safe housing and the right to shape policies and practices that impact our lives and futures. Health Outcomes tell us how long people live on average within a community, and how people experience physical and mental health in a community. Health Factors represent the things we can improve to support longer and healthier lives. They are indicators of the future health of our communities.Some example measures are:Life ExpectancyAccess to Exercise OpportunitiesUninsuredFlu VaccinationsChildren in PovertySchool Funding AdequacySevere Housing Cost BurdenBroadband AccessTo see a full list of variables, definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details of this layer. For full documentation, visit the Measures page on the CHR&R website. Notable changes in the 2024 CHR&R Annual Data Release:Measures of birth and death now provide more detailed race categories including a separate category for ‘Native Hawaiian or Other Pacific Islander’ and a ‘Two or more races’ category where possible. Find more information on the CHR&R website.Ranks are no longer calculated nor included in the dataset. CHR&R introduced a new graphic to the County Health Snapshots on their website that shows how a county fares relative to other counties in a state and nation. Data Processing:County Health Rankings data and metadata were prepared and formatted for Living Atlas use by the CHR&R team. 2021 U.S. boundaries are used in this dataset for a total of 3,143 counties. Analytic data files can be downloaded from the CHR&R website.

In 2023, venture funding into digital health start-ups focused on mental health among young people was just over *********** U.S. dollars in the United States. The last two years have witnessed a decrease in funding from a peak of *********** U.S. dollars being invested in digital start-ups for youth mental health.

The lifetime prevalence of mental disorders in South Korea was 25.4% in 2016. The Act on Mental Health enabled the expansion of psychiatric facilities; however, resources were allocated without considering the population structure or the characteristics of mental health problems. This paper investigates the status and trends of disease burden and the government budget for Korean mental health. The burden of mental and behavioral disorders (MBDs) was measured using the incidence-based disability-adjusted life years (DALYs), and the mental health budget data was from the Ministry of Health and Welfare of South Korea. We estimated that the disease burden of MBDs accounted for 6.4% of the total disease burden, ranking as the seventh leading cause of Korean DALYs. The mental health budget in South Korea was USD 253.4 million in 2019 (USD 90.3 million from the general account, USD 65.8 million from the National Health Promotion Fund, and USD 97.3 million from the special account for the national mental hospitals). Challenges are created by the MBD burden on the Korean healthcare system, and the budget is insufficient to address this disease burden, suggesting that resource allocation systems should be improved.

Financial overview and grant giving statistics of The Mental Health Fund Inc.

The global specialist behavioral health services market is experiencing robust growth, driven by rising prevalence of mental health disorders, increasing awareness and reduced stigma surrounding mental illness, and expanding access to treatment options. The market is segmented by application (children, adolescents, adults, seniors) and type of service (emotional health, behavioral health), reflecting the diverse needs of the population. While precise market sizing requires further data, considering a global CAGR (let's assume a conservative 5% based on industry reports for similar markets) and a 2025 market value (let's estimate $150 billion based on publicly available information on related healthcare sectors), the market is projected to reach approximately $200 billion by 2030. Key players in this market, such as Cambian Group, Priory Group, and Cygnet Health Care, are consolidating their market share through mergers and acquisitions, expanding service offerings, and investing in technological advancements to improve treatment efficacy and accessibility. Geographic variations exist, with North America and Europe currently dominating the market due to advanced healthcare infrastructure and higher per capita spending on healthcare. However, Asia-Pacific is expected to show significant growth in the coming years driven by rising disposable incomes and increased awareness of mental health issues. This growth is, however, constrained by factors such as high treatment costs, limited access to specialized care in underserved regions, and a shortage of qualified mental health professionals. Further growth will depend on successful government initiatives to increase mental health funding, the development of innovative treatment modalities (e.g., telehealth, digital therapeutics), and successful efforts to address the persistent shortage of qualified professionals. The market's diverse segmentation creates opportunities for specialized providers focusing on specific age groups or conditions. For example, the growing adolescent and young adult population, combined with increasing awareness of anxiety and depression, presents a significant market opportunity for services targeting this demographic. Similarly, the aging global population creates growing demand for specialized geriatric behavioral health services. The market's success ultimately hinges on a multifaceted approach involving increased funding, policy changes to improve access, and technological innovations to reach more individuals in need.

AI in Mental Health Market Outlook

As per our latest research, the AI in Mental Health market size reached USD 2.3 billion globally in 2024, and is expected to grow at a robust CAGR of 32.7% from 2025 to 2033, reaching an estimated market value of USD 28.1 billion by the end of the forecast period. This remarkable growth trajectory is primarily driven by the increasing adoption of artificial intelligence technologies in mental health applications, the rising global prevalence of mental health disorders, and the urgent need for scalable, cost-effective, and personalized mental healthcare solutions.

The rapid expansion of the AI in Mental Health market is fundamentally underpinned by the growing awareness and destigmatization of mental health issues, which has led to increased demand for accessible and effective mental healthcare services. The integration of advanced AI technologies, such as machine learning, natural language processing, and computer vision, into mental health platforms and solutions is enabling early detection, continuous monitoring, and personalized intervention strategies. These advancements are significantly improving diagnostic accuracy, treatment outcomes, and patient engagement, thereby fueling market growth. Furthermore, the proliferation of digital health platforms and telemedicine services has made mental health support more accessible, particularly in remote and underserved regions, amplifying the market's expansion.

Another critical growth factor for the AI in Mental Health market is the substantial investment from both public and private sectors in digital health innovation and AI research. Governments and healthcare organizations worldwide are prioritizing mental health as a key component of overall well-being, leading to increased funding for AI-driven research and development initiatives. This has resulted in the emergence of a diverse ecosystem of AI-powered mental health solutions, ranging from chatbots and virtual therapists to predictive analytics platforms and wearable devices. These innovations are not only enhancing the efficiency and effectiveness of mental health services but are also reducing the burden on traditional healthcare systems by enabling early intervention and self-management of mental health conditions.

The evolving regulatory landscape and the increasing focus on data privacy and security are also shaping the growth dynamics of the AI in Mental Health market. Regulatory bodies in major markets such as North America and Europe are establishing guidelines and standards for the ethical use of AI in healthcare, which is fostering trust and encouraging wider adoption of AI-powered mental health solutions. Additionally, the integration of AI with electronic health records (EHRs) and other healthcare IT systems is streamlining care delivery and facilitating seamless communication between patients and providers. These factors, combined with the growing adoption of cloud-based deployment models and the increasing availability of high-quality mental health data, are expected to sustain the market's robust growth trajectory over the forecast period.

From a regional perspective, North America continues to lead the AI in Mental Health market in terms of adoption and innovation, driven by strong healthcare infrastructure, high digital literacy, and significant investments in AI research. Europe is also witnessing substantial growth, supported by favorable government initiatives and a growing emphasis on mental health awareness. The Asia Pacific region is emerging as a high-growth market, propelled by the rising prevalence of mental health disorders, increasing healthcare expenditure, and rapid digital transformation in countries such as China, India, and Japan. Latin America and the Middle East & Africa are gradually catching up, with growing investments in healthcare technology and increasing awareness of mental health issues contributing to market expansion in these regions.

Component Analysis

The AI in Mental Health market is segmented by component into s

Information about applications considered and those awarded grants.

In 2023, the national budget for mental health care in South Korea amounted to around ***** billion South Korean won. This represents an increase of about ** percent compared to the 2020 budget. The distribution of the budget across provinces varied, with some provinces generally spending more than others on mental health care. Mental healthcare facilities in South Korea Much like the mental healthcare budget, the availability of related facilities also differed by province. Mental healthcare facilities tended to be clustered in more densely populated urban areas, with the capital city of Seoul offering *** of such facilities in 2022. Overall, South Korea had **** hospital beds available in psychiatric care per 1,000 inhabitants. Mental healthcare budget differences between provinces The province of Gyeonggi had access to a budget of around ***** billion won in 2023, taking up almost one fourth of the entire national budget that year. This was roughly equivalent to its population, with one quarter of South Korea’s total population living in that area. Compared to the availability of mental healthcare facilities, budgets did not cluster around metropolitan cities as much, with some of the largest cities such as Daegu receiving some of the smallest budgets.

In 2024, mental health ventures in digital health attracted total funding of around *** billion U.S. dollars worldwide. Over ******billion U.S. dollars of funding was invested in digital health mental health ventures in 2021.

Mental Health App Market Outlook

According to our latest research, the global mental health app market size reached USD 6.2 billion in 2024, reflecting the sector's increasing adoption and integration into mainstream healthcare and wellness routines. The market is poised for robust growth, with a projected CAGR of 16.4% from 2025 to 2033. By the end of 2033, the market is forecasted to achieve a value of USD 23.1 billion. This remarkable expansion is primarily driven by the rising prevalence of mental health disorders, greater societal awareness, and the accelerated digital transformation of healthcare delivery systems worldwide.

One of the primary growth factors fueling the mental health app market is the escalating global burden of mental health conditions such as depression, anxiety, and stress-related disorders. The World Health Organization (WHO) estimates that over 970 million people worldwide suffered from mental or substance use disorders in 2024, a figure that has been steadily climbing, particularly in the aftermath of the COVID-19 pandemic. Mental health apps offer scalable, accessible, and stigma-free solutions for individuals seeking support, self-help, and therapy. These apps bridge the gap between traditional mental healthcare and the growing demand for on-demand, personalized support, thus propelling the adoption rate among diverse age groups and demographics.

Technological advancements and the proliferation of smartphones have also played a pivotal role in the market's expansion. The penetration of smartphones surpassed 6.8 billion users globally in 2024, providing a vast platform for digital health solutions. Mental health apps are leveraging cutting-edge technologies such as artificial intelligence, machine learning, and big data analytics to deliver tailored interventions, real-time mood tracking, and virtual therapy sessions. The integration of wearable devices and IoT further enhances user engagement and outcomes by enabling continuous monitoring and feedback. These innovations not only improve user experience but also facilitate data-driven decision-making for healthcare providers and researchers.

Another significant growth driver is the shift in societal attitudes toward mental health and wellness. Governments, employers, and educational institutions are increasingly recognizing the importance of mental well-being, leading to supportive policies and funding for digital mental health solutions. The emergence of enterprise wellness programs, coupled with the adoption of mental health apps by healthcare providers, is expanding the market's reach beyond individual consumers. Furthermore, regulatory bodies are working to establish frameworks that ensure data privacy, security, and efficacy, thereby fostering trust and encouraging broader adoption across regions and sectors.

From a regional perspective, North America continues to dominate the mental health app market, accounting for over 40% of the global revenue in 2024. This leadership is attributed to high smartphone penetration, advanced healthcare infrastructure, and a proactive approach to mental health awareness and treatment. However, the Asia Pacific region is emerging as the fastest-growing market, driven by rapid urbanization, increasing mental health challenges, and the widespread adoption of digital health technologies. Europe also holds a significant share, supported by robust government initiatives and a growing focus on preventive healthcare.

Platform Analysis

The mental health app market is segmented by platform into iOS, Android, and web-based solutions, each catering to distinct user preferences and technological ecosystems. The iOS segment, driven by the strong brand loyalty and high disposable income of Apple device users, accounted for a significant share of the market in 2024. iOS apps are often perceived as more secure and user-friendly, attracting both developers and users focused on privacy and premium experiences. Man

NYS Licensed/Funded Mental Health Programs

Access to Quality Services

By State of New York [source]

About this dataset

This dataset contains pertinent information about various mental health programs located in New York State that are either licensed or funded by the Office of Mental Health. These programs serve a wide array of populations in need and are spread all across the state, and this dataset compiles a list of all those programs so you have access to vital information such as program name, sponsor name, code numbers, populations served, phone numbers and addresses. Whether you're looking for help within your own community or researching mental health services available within your state government, this dataset provides an important gateway to financial aid opportunities and local assistance providers. With such essential data provided for each program listed here--from agency codes to operating certificate requirements--you can enter the world of mental health with the knowledge that you have access to reliable resources. Download it today and benefit from everything it has to offer!

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How to use the dataset

This dataset provides detailed information about mental health programs in New York State that are licensed or funded by the Office of Mental Health. It includes information such as program name, address, sponsoring agencies and organizations, populations served, and operating certificate requirements. The data can be used to identify and investigate New York State mental health organizations and track their services, licenses and funding sources.

To use this dataset effectively you should familiarize yourself with the different columns in the data. For example: Row Created Time gives an indication on when this row of data was created; Sponsor Name is the organization who funds or sponsors the program; Agency Name is the organization which manages or oversees it; Populations Served indicates whobenefits from it; Operating Certificate Required? flag indicates if a license is required to operate the program etc.

Once you are familiar with understanding each column in detail you can use your knowledge to search for specific information within an individual row of data (Program Search) or between multiple rows (Filter Search). For example lets say we want to find volunteer based mental health programs run by Volunteer Organizations like churches etc., To do that we would need to set our Program Tier filter value = Volunteer Based Programs > Research Each records for Sponsor Name > Set it's value = Voluntary Organizations . Similarly one could also look up all residential care programs located in a specific zip code or all outpatient counseling programs run by XYZ agency using filters like Program Tier = Residential Care Homes + Program Zip Code = ABCD respectively.:

Research Ideas

• Establishing mental health resources in underserved areas: This dataset can be used to identify the programs, agencies, sponsors and facilities offering these resources and to create heatmaps that illustrate where these services are concentrated.
• Tailoring mental health interventions: By analyzing the populations served by each program, researchers can develop customized interventions that focus on specific communities or demographic groups.
• Evaluating program effectiveness: By comparing outcomes across different tiers of programs and locations, stakeholders can compare performance metrics for different programs over time to measure effectiveness

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: local-mental-health-programs-1.csv | Column name | Description | |:-------------------------------------|:-------------------------------------------------------------------------------| | Row Created Date Time | Date and time when the row was created. (DateTime) | | ** Sponsor Name** | Name of the sponsor of the program. (String) | | ** Sponsor Code** | Unique code assigned to the sponsor. (String) | | ** Agency Name** | Name of the agency that runs the program. (String) | | ** Agency Code** | Unique code assigned to ...

The global mental health technology market is experiencing robust growth, projected to reach $3966.1 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 10.0% from 2025 to 2033. This expansion is driven by several key factors. Increasing prevalence of mental health disorders globally, coupled with rising awareness and reduced stigma surrounding mental illness, fuels demand for innovative technological solutions. Furthermore, the integration of telehealth platforms and mobile health applications offers convenient and accessible mental healthcare options, particularly beneficial in underserved communities and rural areas. The adoption of advanced technologies like artificial intelligence (AI) for diagnosis and personalized treatment plans further contributes to market growth. Government initiatives promoting mental health awareness and funding research & development in mental health technology are also playing a significant role. Competitive landscape includes established players like Cerner Corporation and Epic Systems Corporation alongside emerging companies focused on specialized solutions. The market is segmented by various factors including software solutions (e.g., Electronic Health Records (EHRs) specifically designed for mental health), hardware (e.g., wearable sensors for monitoring patient vital signs), and services (e.g., telehealth platforms and data analytics). Continued growth in this sector is expected due to ongoing technological advancements, increasing investments in research and development, and the expanding application of big data analytics for improved patient outcomes. However, challenges remain, including data privacy and security concerns related to sensitive patient information, the need for interoperability between different systems, and the potential for widening health disparities if access to technology is not equitably distributed. Addressing these concerns through robust regulatory frameworks and proactive strategies to ensure inclusive access will be crucial for sustainable growth in the mental health technology market.

Mental Health Care Software and Services Market Outlook

The global mental health care software and services market size was valued at USD 2.5 billion in 2023 and is expected to reach approximately USD 6.7 billion by 2032, with a compound annual growth rate (CAGR) of 11.4% during the forecast period. This remarkable growth is driven by the increasing awareness and emphasis on mental health globally, coupled with technological advancements in healthcare solutions.

One of the primary growth factors of this market is the rising prevalence of mental health disorders and the growing recognition of the necessity for effective mental health care. As mental health issues such as depression, anxiety, and substance abuse continue to affect millions worldwide, there is a critical need for efficient management and treatment solutions. This has led to a significant increase in the adoption of mental health care software and services, which provide a range of functionalities from diagnosis to treatment and follow-up care.

Another crucial driver is the ongoing digitization of healthcare services. The shift towards electronic health records (EHRs) and telemedicine has transformed how mental health care is delivered. Digital tools and platforms enable better patient management, real-time monitoring, and remote consultations, making mental health care more accessible and efficient. Additionally, these technologies facilitate improved data collection and analysis, leading to better patient outcomes and more personalized treatment plans.

Government initiatives and supportive policies have also played a pivotal role in propelling the market forward. Many countries have introduced mental health policies and programs aimed at improving mental health care services. Funding for mental health research, the establishment of mental health support systems, and the integration of mental health care into primary healthcare services are some of the measures that have contributed to market growth. These initiatives not only enhance the quality of care but also reduce the stigma associated with mental health issues, encouraging more individuals to seek help.

Regionally, North America dominates the mental health care software and services market, owing to its advanced healthcare infrastructure, high adoption rate of digital health solutions, and proactive government policies. However, other regions such as Europe and Asia Pacific are also witnessing substantial growth. Europe benefits from robust healthcare systems and increasing government support for mental health initiatives, while Asia Pacific's growth is driven by a rising patient pool, increasing healthcare spending, and the rapid adoption of technology in healthcare.

The integration of Behavioral Health EHR systems into mental health care practices is revolutionizing the way patient data is managed and utilized. These systems provide a comprehensive digital record of a patient's mental health history, treatments, and outcomes, enabling healthcare providers to make informed decisions quickly and efficiently. By streamlining data access and enhancing communication among care teams, Behavioral Health EHRs improve the coordination of care and patient engagement. This technology not only supports the clinical needs of mental health professionals but also addresses administrative challenges, such as billing and compliance, by automating routine tasks and ensuring data accuracy. As the demand for mental health services continues to grow, the adoption of Behavioral Health EHRs is poised to play a critical role in enhancing the quality and accessibility of care.

Component Analysis

The mental health care software and services market can be segmented by component into software and services. The software segment includes various applications such as electronic health records (EHR), clinical decision support, telehealth, and other specialized software designed for mental health care. This segment is anticipated to witness significant growth due to the increasing demand for efficient patient management systems and the integration of advanced technologies like artificial intelligence and machine learning in diagnostic and treatment processes.

Within the software segment, electronic health records (EHRs) hold a substantial share. EHR systems facilitate the storage and retrieval of patient data, enabling healthcare providers to access comprehensive and up-to-date information, thereby enhan

Digital Phenotyping Mental-Health App Market Outlook

According to our latest research, the global digital phenotyping mental-health app market size reached USD 1.14 billion in 2024, reflecting robust expansion driven by technological advancements and growing mental health awareness. The market is projected to grow at a CAGR of 22.7% from 2025 to 2033, reaching a forecasted size of USD 8.87 billion by 2033. This remarkable growth is primarily attributed to the increasing adoption of smartphones, advances in artificial intelligence and data analytics, and heightened demand for personalized mental health solutions.

The primary growth factor for the digital phenotyping mental-health app market is the convergence of mobile technology and behavioral health analytics. As smartphones become ubiquitous, they serve as powerful tools for collecting real-time behavioral and physiological data. This data, when analyzed using advanced algorithms, enables the identification of subtle changes in an individual’s mental health status. The proliferation of wearable devices further augments this capability, allowing for more comprehensive and continuous monitoring. Consequently, healthcare providers and researchers are increasingly leveraging digital phenotyping to deliver timely interventions and improve patient outcomes, fueling the market’s upward trajectory.

Another significant driver is the rising prevalence of mental health disorders globally. Conditions such as depression, anxiety, bipolar disorder, and stress-related illnesses are affecting millions, with the World Health Organization estimating that one in four people will be affected by mental or neurological disorders at some point in their lives. The stigma associated with traditional mental health treatment has propelled demand for discreet, accessible, and user-friendly digital solutions. Digital phenotyping mental-health apps offer a private and convenient means for individuals to monitor their mental health, access self-help tools, and connect with professionals, thereby bridging the gap in mental healthcare delivery and promoting early detection and intervention.

The supportive regulatory landscape and increasing investments in digital health infrastructure are also catalyzing market growth. Governments and private organizations are recognizing the potential of digital health technologies to address gaps in mental healthcare, particularly in underserved regions. Initiatives aimed at integrating digital health apps into mainstream healthcare systems, coupled with growing funding for mental health startups, are accelerating innovation and adoption. Furthermore, the COVID-19 pandemic has underscored the importance of remote healthcare, prompting a surge in telehealth and digital mental health app usage. This trend is expected to persist, as both patients and providers recognize the value of digital phenotyping in enhancing mental health management.

Regionally, North America dominates the digital phenotyping mental-health app market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States leads in terms of technology adoption, investment, and regulatory support, while Europe benefits from strong public health initiatives and growing awareness. Meanwhile, Asia Pacific is emerging as a high-growth region, driven by rapid digitalization, increasing smartphone penetration, and rising mental health concerns in populous countries such as China and India. Latin America and the Middle East & Africa, though smaller in market size, are witnessing increasing interest from global and local players seeking to tap into untapped potential and address unmet mental health needs.

Component Analysis

The digital phenotyping mental-health app market is segmented by component into software and services, each playing a pivotal role in the ecosystem. Software solutions form the backbone of digital phenotyping, encompassing mobile applications, analytics platforms, and cloud-based data management systems. These solutions leverage machine learning and artificial intelligence to collect, process, and interpret behavioral and physiological data from users. The continuous evolution of software capabilities, including real-time feedback, predictive analytics, and personalized recommendations, is driving user engagement and adoption among both healthcare providers and patients. The integration of advanced security features to safeguard sensitive health data is als

In the financial year 2024, the Indian government allotted about 12 billion Indian rupees for the mental health budget in the country. Moreover, the government has introduced the National Tele Mental Health Program (NTMHP) and allocated a budget for the program.