Deep‑Tech Revolution in India
1. Government-Fueled Momentum
Major funding boosts: Initiatives like the India AI Mission (₹10,372 crore over five years) and proposed deep-tech fund (₹20,000 crore) are propelling innovation
Policy frameworks taking shape: Policies such as the National Deep Tech Startup Policy aim to streamline ecosystem growth from R&D to scaling
2. Startup Ecosystem Gains Ground
Robust startup numbers: Over 3,600 deep‑tech startups exist in India today, including nearly 500 launched in 2023 alone
Global competitiveness: Ranked 6th globally for deep-tech startups—AI dominates, showing 74% of new ventures and 86% of funded ones tied to AI
3. Sector Focus & R&D Intensity
Core verticals targeted: AI, ML, robotics, quantum, biotech, advanced materials, drones, and blockchain are at the forefront
drishtiias.com
Long R&D cycles, far-reaching impact: Deep-tech requires intensive investment and patience but holds the promise of disruptive breakthroughs
4. Funding & Investment Trends
Rising capital inflows: Globally, deep-tech is garnering 20% of annual VC funds (~$40 billion in 2023)—mirrored by India’s.
India-specific investments: Deep‑tech startups like Observe.AI have logged major funding (e.g. $214 M), while national policy funds are being calibrated to match demand
drishtiias.com
.
5. Opportunities & Challenges
Strengths:
Deep talent pool—~1.5 million engineering grads annually—fuels innovation
DPI backbone (UPI, Aadhaar, ONDC) supports scalable digital solutions .
Challenges:
Regulatory hurdles, commercialization lag, talent shortages, and infrastructure limitations persist
Execution gaps are noted—policy intent doesn't always translate into action without public-private collaboration .
6. The Role of Thought Leaders
Influencers like Jeenendra Bhandari (often leading deep-tech councils and VC platforms) typically emphasize:
Aligning policy with operational execution.
Encouraging patient, long‑term capital for high‑risk deep-tech ventures.
Strengthening academia-industry synergies for commercializing R&D.
Building market access pathways through anchor customers and public procurement.
Source: Economic times
#healthcarestartupindia #dseidehealthcarenetwork
1. Government-Fueled Momentum
Major funding boosts: Initiatives like the India AI Mission (₹10,372 crore over five years) and proposed deep-tech fund (₹20,000 crore) are propelling innovation
Policy frameworks taking shape: Policies such as the National Deep Tech Startup Policy aim to streamline ecosystem growth from R&D to scaling
2. Startup Ecosystem Gains Ground
Robust startup numbers: Over 3,600 deep‑tech startups exist in India today, including nearly 500 launched in 2023 alone
Global competitiveness: Ranked 6th globally for deep-tech startups—AI dominates, showing 74% of new ventures and 86% of funded ones tied to AI
3. Sector Focus & R&D Intensity
Core verticals targeted: AI, ML, robotics, quantum, biotech, advanced materials, drones, and blockchain are at the forefront
drishtiias.com
Long R&D cycles, far-reaching impact: Deep-tech requires intensive investment and patience but holds the promise of disruptive breakthroughs
4. Funding & Investment Trends
Rising capital inflows: Globally, deep-tech is garnering 20% of annual VC funds (~$40 billion in 2023)—mirrored by India’s.
India-specific investments: Deep‑tech startups like Observe.AI have logged major funding (e.g. $214 M), while national policy funds are being calibrated to match demand
drishtiias.com
.
5. Opportunities & Challenges
Strengths:
Deep talent pool—~1.5 million engineering grads annually—fuels innovation
DPI backbone (UPI, Aadhaar, ONDC) supports scalable digital solutions .
Challenges:
Regulatory hurdles, commercialization lag, talent shortages, and infrastructure limitations persist
Execution gaps are noted—policy intent doesn't always translate into action without public-private collaboration .
6. The Role of Thought Leaders
Influencers like Jeenendra Bhandari (often leading deep-tech councils and VC platforms) typically emphasize:
Aligning policy with operational execution.
Encouraging patient, long‑term capital for high‑risk deep-tech ventures.
Strengthening academia-industry synergies for commercializing R&D.
Building market access pathways through anchor customers and public procurement.
Source: Economic times
#healthcarestartupindia #dseidehealthcarenetwork
Deep‑Tech Revolution in India
1. Government-Fueled Momentum
Major funding boosts: Initiatives like the India AI Mission (₹10,372 crore over five years) and proposed deep-tech fund (₹20,000 crore) are propelling innovation
Policy frameworks taking shape: Policies such as the National Deep Tech Startup Policy aim to streamline ecosystem growth from R&D to scaling
2. Startup Ecosystem Gains Ground
Robust startup numbers: Over 3,600 deep‑tech startups exist in India today, including nearly 500 launched in 2023 alone
Global competitiveness: Ranked 6th globally for deep-tech startups—AI dominates, showing 74% of new ventures and 86% of funded ones tied to AI
3. Sector Focus & R&D Intensity
Core verticals targeted: AI, ML, robotics, quantum, biotech, advanced materials, drones, and blockchain are at the forefront
drishtiias.com
Long R&D cycles, far-reaching impact: Deep-tech requires intensive investment and patience but holds the promise of disruptive breakthroughs
4. Funding & Investment Trends
Rising capital inflows: Globally, deep-tech is garnering 20% of annual VC funds (~$40 billion in 2023)—mirrored by India’s.
India-specific investments: Deep‑tech startups like Observe.AI have logged major funding (e.g. $214 M), while national policy funds are being calibrated to match demand
drishtiias.com
.
5. Opportunities & Challenges
👉 Strengths:
Deep talent pool—~1.5 million engineering grads annually—fuels innovation
DPI backbone (UPI, Aadhaar, ONDC) supports scalable digital solutions .
⚠️ Challenges:
Regulatory hurdles, commercialization lag, talent shortages, and infrastructure limitations persist
Execution gaps are noted—policy intent doesn't always translate into action without public-private collaboration .
6. The Role of Thought Leaders
Influencers like Jeenendra Bhandari (often leading deep-tech councils and VC platforms) typically emphasize:
Aligning policy with operational execution.
Encouraging patient, long‑term capital for high‑risk deep-tech ventures.
Strengthening academia-industry synergies for commercializing R&D.
Building market access pathways through anchor customers and public procurement.
Source: Economic times
#healthcarestartupindia #dseidehealthcarenetwork

