Key Takeaways
- $7.6 billion global market size for AI in healthcare in 2023 (context: adjacent health/wellbeing self-help use cases)
- $1.1 billion global market size for digital health in 2020 with a CAGR of 25% through 2028 (relevant to wellbeing/self-help platforms)
- $1.1 billion global market size for online therapy in 2023 (context for self-help/therapy-adjacent AI)
- 45% of U.S. adults have used a digital health tool or service (survey stat)
- 48% of participants reported using a self-help app at least once per week during a study period (app engagement survey within study)
- 4% of U.S. adults use apps to assist with mindfulness/meditation (app use metric from U.S. data set described in NIH)
- 2.3x faster draft turnaround time when using generative AI drafting tools in an experiment by a consultancy (time-to-draft comparison)
- 66% of companies using AI for content/reporting stated they improved speed of delivery (AI content workflow efficiency survey)
- 25% reduction in customer support effort in chat-based assistance use cases from a benchmark study (productivity metric)
- 33% of firms plan to adopt generative AI by 2025 (Gartner planning statistic)
- 40% of organizations expect GenAI to be deployed in at least one business function in 2023 (forecast survey from Gartner/others)
- 19.7% of U.S. adults had any mental illness in 2021 (SAMHSA/NHIS measure)
- 7.6x ROI improvement reported for generative AI initiatives in marketing and content (ROI metric in McKinsey analysis for GenAI use cases)
- 20% reduction in cost to serve expected from genAI-enabled customer operations (cost reduction estimate)
- 2.3% of all IT spending spent on AI/analytics initiatives in 2023 (IT spend allocation metric from industry survey)
With billions already spent and rapid growth, AI tools are reshaping self care through therapy, coaching, and digital health.
Related reading
01 · Category
Market Size24 stats
Market Size Interpretation
02 · Category
User Adoption10 stats
User Adoption Interpretation
03 · Category
Performance Metrics19 stats
Performance Metrics Interpretation
More related reading
04 · Category
Industry Trends20 stats
Industry Trends Interpretation
05 · Category
Cost Analysis5 stats
Cost Analysis 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.
Christopher Morgan. (2026, February 13). AI In The Self Help Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-self-help-industry-statistics
Christopher Morgan. "AI In The Self Help Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-self-help-industry-statistics.
Christopher Morgan. 2026. "AI In The Self Help Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-self-help-industry-statistics.
Sources & references
60 datasets cited across this report · attribution is report-level
+31 additional datasets cited (not shown individually)

