By Rajasekhar Papolu
Amidst the rapid adoption of digital tools and the economic boom, the security, efficiency, and customer experience needs of Indian enterprises are rising. The main competition between the firms has shifted to the AI-powered video solutions that upgrade surveillance from being passive to proactive. In 2024, the Indian video analytics market was valued at USD 277.8 million and it is expected to grow at a CAGR of 13.78% up to USD 887.9 million by the year 2033.
The overall AI video market in India is expected to reach around USD 3,018.6 million by 2033 with a 34.5% CAGR, mainly coming from the retail, manufacturing, and logistics sectors. The mentioned figures clearly prove that the market for AI in video analytics is going very fast indeed due to the technological advancements in real-time anomaly detection and behavioral analysis.
More than 85% of the companies worldwide that have implemented AI video analytics report having gotten a positive ROI in a year or less, and some even in just six months, which is a trend that is getting faster in India through customised deployments. An example is the recently introduced AI video analytics by Vidopix in India that resulted in a 35% increase in customer engagement and 20% higher ROI in the first quarter of 2025. Thus, it can be seen that the transition from conventional CCTV to intelligent systems has been profitable, allowing database decision-making without incurring corresponding costs.
Driving Measurable Business Value
AI video analytics generates tangible value across cost avoidance, time efficiency, revenue growth, and operational resilience. Time savings materialise through automated alerts, slashing manual review needs, while revenue uplifts stem from queue management and footfall insights optimising staffing. Manufacturing and logistics benefit from predictive maintenance, spotting equipment anomalies to avert downtime in critical sectors like automobiles and pharmaceuticals.
These benefits align with India’s enterprise priorities, where surveillance demand surges for motion detection and intrusion prevention. Startups like Aivid deliver actionable insights for compliance inspections, enhancing safety in heavy industries, chemicals, metals, and textiles. Overall, AI reduces dependency on human oversight, fostering scalable efficiency in resource-constrained environments.
The Indian private sector and government institutions are getting modernized and now the new trend is integrated and intelligence-led infrastructure instead of fragmented digital tools. The country is installing AI-based surveillance systems, providing secure enterprise hardware and engineering powerful digital platforms to shift their operations from monitoring and waiting for the right time to act to getting the best of the moment through decision-making in real-time.
The combination of renewable energy and domestic technology, along with the systems mentioned above, will not only provide resilience and less operational risk but also sustainability in the long run—especially in the areas of transportation, urban security, manufacturing, and rural infrastructure. The increasing focus on domestic Research and Development, production that is able to meet demand, and data-protected architectures is a clear indication of the government’s move towards self-sufficiency in technology that is not only efficient but also durable, accessible, and impactful at scale.
Video feeds are no longer limited to security operations as AI-led monitoring develops. These days, real-time alerts, operational bottlenecks, suspicious behaviour detection, and behavioural pattern mapping are all made possible by advanced video analytics, enabling organisations to take action rather than just react.
AI surveillance provides real-time situational awareness that enhances safety outcomes and increases operational efficiency, from command centres watching live settings to businesses looking for smarter decision assistance. These technologies enable quicker reactions, well-informed decisions, and ongoing performance improvement in challenging, high-risk situations by transforming unprocessed pictures into actionable knowledge.
Indian CXOs are evaluating all the solutions considering the factors of more than 95% accuracy, very low latency at the edge, strong API integration, compliance with the DPDP Act, and low total cost of ownership. Edge processing greatly reduces reliance on the cloud, which is a necessity for India’s diverse infrastructure, thus cutting down both latency and costs. Vendors like alwaysAI highlight the need for platform scalability for multi-camera installations.
Give preference to vendors with established Indian deployments, such as Staqu for security or Aivid for manufacturing, to enable seamless ERP/POS linkages.
Adopt via structured phases:
- Pilot: Test 10-20 cameras at high-risk sites, baseline KPIs like shrinkage or downtime.
- Scale: Expand post-3 months if gains exceed 20%, covering 50% assets.
- Integrate: Embed APIs with existing systems for automated workflows.
- Govern: Implement DPDP audits, staff training, and quarterly reviews.
This roadmap ensures sustainable value. In India’s data-driven landscape, AI video solutions fortify resilient operations, turning video feeds into strategic assets.
The author is Managing Director of Brihaspathi Technologies Limited
