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Smart street lighting: rising patent filings, but few deep-tech startups in our data

India's patent activity is climbing, yet our data shows just two deep-tech companies explicitly focused on smart street lighting, with no patent-holding startups identified.

Published 20 Jul 2026

Patents matched
101
Patent momentum
Rising
Deep-tech companies in our data
2
Patent-holding startups
0

What it is

Smart street lighting replaces conventional streetlights with networked LED luminaires that can be monitored, controlled, and optimized remotely. Each light becomes a sensor node, collecting data on motion, air quality, noise, and traffic, and adjusting brightness in real time to save energy and improve public safety.

These systems rely on IoT connectivity (NB-IoT, RF, powerline) and a central management platform that analyzes data for operational efficiency. Beyond illumination, the poles serve as infrastructure for smart city applications: environmental monitoring, traffic analytics, public WiFi, and even 5G small cells. The core value is energy savings—often 50–70%—and the ability to turn a ubiquitous asset into a multi-purpose urban sensing grid.

The value chain

Where it's heading

Globally, the smart street lighting market is projected at USD 4.08 billion in 2025, growing at 19.2% CAGR (Fortune Business Insights). The installed base of individually controlled lights is expected to more than double from 32.9 million in 2024 to 85 million by 2029 (ResearchAndMarkets). Europe leads with a 41% share, but Asia-Pacific is catching up fast, driven by urbanization and smart city programs.

The opportunity in India

Our dataset captures 101 patents related to smart street lighting, with momentum rising—published filings are up even before the last two years fully publish. This signals active R&D, likely from research institutions and large electronics firms. Yet the commercial translation appears thin: only two deep-tech companies in our data explicitly reference smart street lighting in their profiles, and none of them hold patents in this space.

That gap between patent output and startup formation points to a white space. The technology is being invented in India, but few new ventures are building product businesses around it. The absence of patent-holding startups suggests that incumbents or academia own the IP, leaving an opening for spin-outs or licensing-based startups. Funding data for the sector is absent from our records, which may indicate that smart street lighting has not yet emerged as a distinct investment theme in India's deep-tech venture landscape.

India signal: patents, startups, capital

Our data matches 101 Indian patents to smart street lighting, with momentum described as rising—a strong signal given the 18-month publication lag. This patent stock likely reflects work by research labs, component makers, and large IT firms, not necessarily dedicated startups.

On the company side, our dataset lists just two deep-tech firms whose profiles reference the technology: MKAI Solutions (Gautam Buddha Nagar) and Iohertz Technologies (East Delhi). Neither appears in our patent-linked startup list, and we found no notable funding rounds for smart street lighting companies in our funding data. This suggests that while the technology is being developed, it hasn't yet spawned a visible cohort of venture-backed startups in India. The field may be served by larger systems integrators or electrical equipment manufacturers that don't brand themselves as 'deep-tech' in our taxonomy.

Knowledge graph

How the technologies, companies and players in this briefing connect.

technology

Smart Street Lighting

company

MKAI SolutionsIohertz Technologies

sector

Smart CitiesIoT & SensorsEnergy Efficiency

application

Environmental MonitoringTraffic AnalyticsPublic Safety

In our data

Sources

This briefing is AI-generated from Deeptech Navigator's patent and startup data and lightly reviewed before publishing. Treat it as a starting point, not professional advice — figures are directional, so verify before relying on any number. The platform takes no responsibility for decisions made on it.

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