Video coding in India: a deep patent base with thin startup activity

What it is

Video coding is the process of compressing and decompressing digital video to reduce file size while preserving acceptable visual quality. A codec (coder-decoder) uses an encoder to shrink the video and a decoder to reconstruct it for playback. The compressed data must conform to a standard format, such as H.264/AVC, HEVC, or the newer VVC.

Modern codecs remove spatial and temporal redundancies within and between frames. They use block-based motion compensation, transform coding (like integer DCT), quantization to discard less perceptible details, and entropy coding for efficient bitstreams. This makes high-resolution video feasible for streaming, broadcasting, and storage.

Why it matters: video coding underpins virtually all digital video delivery. Without efficient compression, streaming 4K content, running video calls, or storing surveillance footage would be impractical. It directly impacts bandwidth costs, user experience, and the reach of video services.

The value chain

The video coding value chain spans algorithm research to end-user applications, with IP and chip design as key defensibility points.

• Upstream: algorithm research and standards development (MPEG, ITU-T, AVS). This is where core compression techniques are invented and standardized, often by large R&D labs.
• Midstream: IP core design and implementation — encoder/decoder hardware (ASIC, FPGA) and software libraries (x264, x265, NVENC). This is where value capture is highest, as efficient, low-power implementations are critical for devices.
• Downstream: integration into consumer electronics (smartphones, cameras, set-top boxes), platforms (OTT streaming, video conferencing, surveillance systems), and services. Margins are thinner here, but scale drives volume.

Where it's heading

Global demand for advanced video coding is rising, driven by richer content and more video-first applications. The market was estimated at USD 4.52 billion in 2024 (SNS Insider), with a CAGR of 6.28%.

India’s digital video consumption is exploding on the back of cheap mobile data, but no India-specific market size is available. The trends below are global, yet they directly shape India’s needs.

• OTT streaming growth: platforms like Netflix, Prime Video, and JioCinema push for higher compression efficiency to serve diverse devices and bandwidths (SNS Insider).
• Resolution escalation: 4K and 8K content, plus immersive VR, demand codecs that can handle massive data rates without breaking delivery pipelines (Research and Markets).
• Video conferencing expansion: business, education, and healthcare are adopting real-time video, requiring low-latency, adaptive codecs (SNS Insider).

The opportunity in India

India’s video coding patent stock is substantial — 1,175 patents matched in our dataset — but the startup landscape is remarkably thin. No deep-tech company in our data explicitly references video coding in its profile, and the three patent-holding entities are all large multinationals (Google, Intel, Sharp). This points to a white space for Indian startups.

The country’s massive video user base, from OTT to surveillance, creates a natural pull for indigenous codec IP. India-specific challenges — low bandwidth in rural areas, diverse regional content, and cost-sensitive devices — could be addressed by homegrown compression solutions. Yet, our data shows no startup has stepped into this gap.

Funding in the broader computing-ai sector is robust ($2.43B across 368 companies), but none of it appears directed at video coding startups. This capital availability, combined with a deep patent bench, suggests an opportunity for entrepreneurs to build IP-driven ventures around video compression, hardware acceleration, or AI-enhanced codecs.

India signal: patents, startups, capital

Our data maps 1,175 patents to video coding, a significant stock. Momentum is indeterminate because India’s ~18-month patent confidentiality means the most recent filing years are understated — do not read this as a decline.

Only three patent-holding entities appear in our dataset: Google (5 patents), Intel (5), and Sharp (2). All are large multinationals, not Indian startups. No deep-tech company in our data references video coding in its profile, though this may partly reflect jargon mismatch; still, the startup signal is extremely faint.

Sector funding for computing-ai, the dominant sector for these patents, totals $2.43B across 368 companies, with a median raise of $1.4M. Notable funded players in the sector include Teknuance ($813.7M), Polygon ($450M), and Sarvam AI ($275M), but none are video coding specialists. This reinforces the white-space narrative.

In our data

Sources

• Video codec ↗
• The overview of video coding technique ↗
• Advanced Video Coding - an overview ↗
• Vibe Coding for Supply Chain Explained ↗
• Digital Supply Chain Management in the Videogames Industry ↗
• Digital Supply Chains ↗
• Advanced Video Coding Market Size & Growth Forecast, 2032 ↗
• Advanced Video Coding Market Size, Competitors & Forecast ↗