Hello dear friends,
“Low and middle-income countries present a massive opportunity for digital mental health.”
This was the start of a LinkedIn post from a couple of weeks ago. I love reading this creator and sincerely believe they do a great job at it. However, this framing infuriates me.
Yes, factually speaking, the business opportunity is real. But rarely does the discourse go beyond opportunity identification. If LMICs are the untapped market they are poised to be, why has meaningful innovation been so limited, and has not reached scale?
Meanwhile, India announced its budget for 2026 – which, as it turned out, was a window to understand where opportunities for MH are being allocated.
We’re no policy or budget experts here at TinT. Hell, I’m even scared of large numbers and unabashedly slow at math. But a cursory look into the budget was revealing of growth and gap areas.
So we examined India’s budget allocations for mental health, and why they matter.
I implore you to read this piece.
Why?
India, as the largest LMIC by population and economic scale, offers a critical perspective. Looking here helps us understand mental health innovation beyond the US, and beyond studies focused primarily on Western populations, which often shape global perceptions of mental health.
Read not for the numbers but to see how innovation is unfolding in the real world, and what it means for clinicians, founders, and anyone who comments on mental health innovation for LMICs.
Historically underfunded, mental health in India is now moving from rhetorical recognition to structured planning. To see where the field is truly headed, we need to look beyond the headlines and into the allocations themselves.
Follow The Money
Sadly, the big-ticket announcements like NIMHANS 2.0, CIP Ranchi upgrades, LGBRIMH Tezpur expansion, and trauma care centres are highlighted but without clear mental health–specific line items.
Direct allocations were:
- $6.1M (₹51 Cr) for Tele-MANAS: Tele-mental health services connecting patients with providers.
- $110M (₹921 Cr) for NIMHANS: Continued funding for India’s premier mental health and neuroscience institute.
- $8M (₹67 Cr) for LGBRIMH: Support for the state-level mental health institute in Lucknow.
So the direct budget allocation to mental health comes to roughly $125M (₹1,040 Cr).
That’s about:
- ~1.5% of the Health Budget
- And Health itself is ~2% of the total national budget of $652.4B USD or ₹53.5 Lakh Cr
Which means mental health likely receives well under 0.05% of the total national budget with much of it tied up in infrastructure, not services.
The headline sounds large. The slice is not.
Along with the slice, another element of the budget influences the industry. It’s structure.
What Problem Is the Budget Trying to Solve?
The money clusters toward specific categories:
- Institutional expansion
- Specialist training pipelines
- Tertiary centres
- Infrastructure upgrades
The underlying assumption: The Indian budget makes is that MH is a capacity deficit problem. It says there are not enough institutions, not enough specialists.
And that’s true.
India does face a severe shortage of specialists [1, 2], and concentration in urban centres [3]. Expanding capacity is necessary [4, 5], so is strengthening training pipelines [6].
But it leaves scope for an alternative approach: viewing this as a population-level wellbeing challenge that requires new, and multiple models of care.
The Missing Elements
Notice what is largely absent:
- Community-based mental health models: studies repeatedly show why this is a must [7]
- Prevention and early intervention: already a proven that this works [8]
- Continuity of care after diagnosis: data proves drop out rate contributes the the MH crisis [9]
- Integration with schools, workplaces, or primary care: we’re seeing this happen only through the private sector (EAP products and such) [10, 11]
- Outcomes-based mental health planning: yet again, private sector products are more bullish here than govt [12, 13]
That’s not an omission by accident. It’s structural.
Capacity vs. Model
There are two ways to see mental health as a system challenge.
Capacity model
Going top-down: Build more institutions, train more specialists, expand tertiary centres - centralised care.
OR
Population-level wellbeing model
Going bottom-up: Prevent before crisis, detect early, integrate into primary care, shift tasks across cadres, measure outcomes, use digital tools to augment delivery.
The current budget is firmly capacity-oriented. That’s not necessarily wrong. It’s just a stage.
The state is structurally built to fund capacity. It is not structurally built to experiment with delivery models at scale.
Which leads to a simple but important principle:
When the state funds the infrastructure, the market funds the innovation.
Where Do Models Get Built?
If capacity is expanding through public institutions, where will new models emerge? Historically in most countries, model experimentation has been brought by actors outside the core state machinery:
- Private providers
- Public–private partnerships
- Digital health platforms
- Research collaborations
- Community-led initiatives
In countries where mental health commands 6–8% of health budgets, allocations explicitly track prevention, community integration, and measurable outcomes. Some examples are:
- United Kingdom: MH = 8% of Health Budget [14]. NHS funds Digital IAPT [15], early intervention and pilots tracked by a Mental Health Dashboard [16].
- Australia: MH = ~8% of Health Budget [17]. Federal budgets explicitly allocate for Community MH and Youth MH, e.g., Headspace [18]. Digital MH tools are procured as services, not apps [19].
- Canada: ~6% of Health Budget [20]. Multi-year agreements with provincial and territorial governments, a Youth MH Fund [21], and a newly announced budget to support Indigenous people’s access to mental health services [22].
India is still largely in the capacity-building phase.
That creates a predictable gap. And predictable gaps are positioning opportunities.
The Strategic Question for You
If you’re a therapist reading this, here’s what matters.
There are now two layers emerging in the ecosystem.
1. The Capacity Layer (What the state is building)
- Institutional roles
- Specialist pathways
- Tele-mental health platforms
- Digital public infrastructure
- Expanded tertiary centres
This layer will grow.
2. The Model Layer (Where innovation happens)
- Preventive services
- School and workplace integration
- Community programs
- Outcome measurement systems
- Tech-augmented therapy
- Hybrid care models
This layer is not being centrally designed by the state. It will be shaped by clinicians, founders, researchers, and operators.
The question is not whether mental health funding increased.
The question is: Which layer are you preparing yourself for?
If you see yourself only as a clinician entering expanded capacity, you’ll follow institutional growth.
If you see yourself as a model-builder, even within a clinical role, you’ll move toward prevention, integration, measurement, and tech-augmentation.
That is where the next decade of differentiation will happen.
Build in the Model Layer
If this issue made you realise you need to position your professional self differently, then this is exactly what we work on inside Applied Product Thinking cohort for therapists. A 6–7 week async program for therapists who want to:
- Analyse digital mental health products with rigour
- Understand UX, workflows, AI features
- Decode users, markets, and power structures
- Think like builders, not just users
Because the next decade of mental health won’t just need clinicians. It will need clinicians who understand systems.
Cohort #2 waitlist is now open. Join here.
Take care and see you next weekend,
Harshali
Founder, TinT
Follow along on @be_tint
For more resources view the website
Connect with me, Harshali on LinkedIn
