Key Takeaways
- 11.7% of all people worldwide reported having at least one mental health condition in the prior year (2019 estimate of prevalence)
- 1 in 8 people worldwide (12.6%) were living with a mental disorder in 2019
- The global mental health market was $279.0 billion in 2023 (forecast to $424.0 billion by 2030)
- In 2022, 20.8% of U.S. adults reported experiencing at least one major depressive episode indicator (NSDUH)
- In a 2023 U.S. survey, 40% of respondents said they were willing to use AI-based tools for mental health support
- In 2023, 29% of U.S. adults reported they would trust a chatbot for mental health information (survey)
- A 2022 randomized trial found that app-based cognitive behavioral therapy led to significant reductions in depressive symptoms with effect sizes (Hedges g) around 0.3–0.5
- In a meta-analysis, digital CBT reduced depressive symptoms with a standardized mean difference (SMD) of about 0.3 compared with control
- In a real-world study, telepsychiatry reduced missed appointments by 20% compared with in-person care (health system analysis)
- A 2023 ASPE report estimated that the U.S. still has a significant gap in behavioral health providers relative to need (shortage measured in clinician supply)
- In 2022, the U.S. Congress passed the Bipartisan Safer Communities Act including mental health and crisis funding (public law)
- The global reimbursement landscape for digital mental health continued expanding; in 2023, at least 10 countries had reimbursement pathways (policy tracker)
Worldwide mental illness affects about one in eight people, and digital and AI tools are rapidly expanding access.
Related reading
01 · Category
Market Size7 stats
Market Size Interpretation
02 · Category
User Adoption5 stats
User Adoption Interpretation
More related reading
03 · Category
Performance Metrics4 stats
Performance Metrics Interpretation
04 · Category
Industry Trends4 stats
Industry Trends Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Marcus Afolabi. (2026, February 13). Mit Admissions Statistics. Gitnux. https://gitnux.org/mit-admissions-statistics
Marcus Afolabi. "Mit Admissions Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/mit-admissions-statistics.
Marcus Afolabi. 2026. "Mit Admissions Statistics." Gitnux. https://gitnux.org/mit-admissions-statistics.
Sources & references
20 datasets cited across this report · attribution is report-level
+6 additional datasets cited (not shown individually)

