PUBLISHER: Mordor Intelligence | PRODUCT CODE: 1911457
PUBLISHER: Mordor Intelligence | PRODUCT CODE: 1911457
AI video analytics market size in 2026 is estimated at USD 6.19 billion, growing from 2025 value of USD 5.04 billion with 2031 projections showing USD 17.24 billion, growing at 22.74% CAGR over 2026-2031.

Elevated urban-security risks, rapid smart-city rollouts, and sharply lower edge-AI chipset prices continue to expand the technology's addressable base. Municipal programs now treat AI-enabled cameras as multi-utility sensors, unlocking uses from traffic orchestration to predictive maintenance. Retailers deploy in-store behavior analytics to merge physical and digital customer journeys, while enterprises increasingly favor cloud workflows that keep models updated without large capital outlays. These shifts open room for outcome-based service models and vertical-specific offerings that promise faster ROI.
Municipal programs have evolved basic surveillance grids into real-time urban operating systems. Shenzhen's Futian District reduced incident response from 4 minutes to 50 seconds after rolling out an AI-driven event-routing platform that now guides traffic teams, utilities, and emergency services. Hangzhou's City Brain analyzes camera feeds from more than 100 intersections, detects accidents in seconds, and reshapes signal timing to trim average commutes by 4.6 minutes. These outcomes justify repeat municipal budgets and encourage neighboring cities to replicate blueprints, widening the AI video analytics market.
Retail chains integrate vision data with loyalty and e-commerce platforms to reveal true customer journeys. Queue tracking, shelf-stock heatmaps, and demographic dashboards lift conversion and cut wait times, with some deployments reporting triple-digit ROI. Video-captured dwell patterns now feed recommendation engines to tailor online promotions. Quick-service restaurants apply the same feeds to enforce food-safety checklists and optimize staffing. As physical stores become data-rich touchpoints, investment in cloud-native analytics accelerates.
GDPR and similar statutes now require explicit consent and data-minimization, forcing vendors to mask or hash biometric information. Providers increasingly market metadata-only solutions that strip personal identifiers while preserving occupancy counts and flow maps. Compliance revamps add cost and delay rollouts, yet they also catalyze advances in federated learning and differential privacy that may future-proof offerings.
Other drivers and restraints analyzed in the detailed report include:
For complete list of drivers and restraints, kindly check the Table Of Contents.
Software retained 63.88% revenue share in 2025, underscoring how algorithm accuracy rather than hardware dictates purchase decisions. Services revenue is growing at a 23.96% CAGR as customers favor managed outcomes over perpetual licenses, often bundling model training and performance tuning in multiyear contracts. Continuous neural-network upgrades, including vision-language transformer models introduced in 2024, have kept replacement cycles brisk.
Intelligent search functions driven by generative AI let operators retrieve events using plain-language prompts instead of frame-by-frame review. Simultaneously, the hardware stack is shifting to chiplets optimized for sparsity and quantization, cutting power draw for passive installations. Software-centric subscription pricing gives vendors stable ARR while permitting users to activate specialized modules only when needed.
On-premises hosting accounted for 53.54% of revenue in 2025 thanks to government and critical-infrastructure clients that must retain footage locally. Yet the cloud segment is expanding at 23.74% CAGR as enterprises appreciate elastic GPU pools for frequent model retraining. Three-year TCO studies show cloud deployments lowering spend by 55% compared with edge appliances when video retention exceeds 90 days.
Hybrid patterns have emerged: inference runs at the camera, metadata streams to a regional hub, and intensive re-training tasks occur in a sovereign cloud to meet residency laws. Vendors position MLOps pipelines as differentiators, automating data labeling, drift detection, and rollback. As compliance clarity improves, many on-premises users pilot parallel cloud sandboxes to benchmark performance, nudging future migration.
The AI Video Analytics Market Report is Segmented by Component (Software, Hardware, and Services), Deployment Mode (On-Premises, and More), Analytics Type (Video Content Analytics, Facial Recognition, and More), Application (Security and Surveillance, Traffic and Transportation Management, and More), End-User (Government and Public Safety, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).
North America retained a 38.22% revenue share in 2025, grounded in deep R&D, integrator ecosystems, and enterprise IT budgets. Federal grants for critical-infrastructure protection continue to refresh camera fleets, while big-box retail chains scale analytics to thousands of stores. Yet Asia Pacific is accelerating at a 23.18% CAGR to 2031 on the back of large-scale smart-city rollouts and expanding e-commerce platforms.
China's provincial projects, such as Hangzhou's 100-intersection City Brain, demonstrate how city-wide AI can cut emergency response times nearly in half. India's AI sector is forecast to hit USD 8 billion by 2025, with retail, manufacturing, and healthcare pilots already budgeting camera analytics. Japan channels automation spending toward elder-care robots and factory vision systems, offsetting workforce shortages. Europe enforces privacy-by-design mandates, leading vendors to export compliant templates worldwide, while Gulf states fund AI academies to cultivate 10,000 skilled practitioners