AI Video Analytics Market Size
| Study Period | 2019 - 2030 |
| Market Size (2025) | USD 5.04 Billion |
| Market Size (2030) | USD 17.20 Billion |
| CAGR (2025 - 2030) | 23.35% |
| Fastest Growing Market | Asia-Pacific |
| Largest Market | North America |
| Market Concentration | Medium |
Major Players*Disclaimer: Major Players sorted in no particular order |
AI Video Analytics Market Analysis
The AI Video Analytics Market size is estimated at USD 5.04 billion in 2025, and is expected to reach USD 17.20 billion by 2030, at a CAGR of 23.35% during the forecast period (2025-2030).
Numerous countries are swiftly adopting AI-driven video analytics for traffic oversight and public safety enhancements. The rising trend of video surveillance in commercial venues—like malls, airports, and ports—and in residential areas has boosted the market size for AI video analytics market. These surveillance systems have proven effective in curbing crime rates. For example, studies by CCTV Security Pros LLC indicate that areas equipped with CCTV can see crime reductions of up to 51%, especially in parking lots.
Intelligent software advancements have eclipsed traditional monitoring methods. Merging facial recognition with video management systems (VMS) has fortified surveillance capabilities. Recently, IronYun unveiled its Vaidio AI video analytics platform, seamlessly integrating with existing camera systems. This integration slashed false alerts from 2,000 monthly to a mere 10, marking a 99.5% boost in operational efficiency.
Among end-users, defense is expected to dominate the market share in the AI video analytics market. With a growing emphasis on security, defense entities are leveraging AI video analytics for everything from facial recognition threat detection to object recognition for target identification. Notable players like IronYun, Avigilon, and IntelliVision are at the forefront, with IronYun even securing a contract from the U.S. Department of Defense CTTSO for its precision-driven analytics.
Among region, North America is likely to maintain its major position due to its strong tech industry leading to substantial market share in AI video analytics market. United States. government initiatives aimed at bolstering urban security and smart city endeavors have spurred the adoption of AI surveillance and traffic solutions. In Canada, cities like Toronto or Vancouver could serve as prime examples of AI video analytics enhancing public safety.
Player such as IndigoVision and Robert Bosch GmbH holds substantial market share in AI video analytics market. IndigoVision's video analytics are designed to analyze live video and identify predetermined events of interest in real-time. It utilizes 'Museum mode' to detect theft by monitoring for the removal of items from a scene, such as paintings from a gallery.
However, challenges loom. The surge in data from video tools necessitates vast storage solutions and efficient retrieval strategies. Moreover, the complexity of video analytics tools demands skilled personnel for operation and maintenance, posing a hurdle for businesses struggling to attract top talent.
AI Video Analytics Market Trends
Retail Sector is Expected to Hold Major Share in AI Video Analytics Market
Retailers have conducted study for years to better understand their customers' demands and current trends and make better marketing and operational decisions. AI video analytics tracks customer movement within stores, identifying high-traffic areas (hot zones) and under-utilized spaces. This data helps retailers optimize product placement and store layouts to enhance customer flow and increase sales. These factors excel in maintaining AI video analytics market size.
In case scenario, a leading retail chain implemented AI video analytics to enhance its customer engagement strategy. Within three months, the retailer reported a 20% increase in sales from the previously underperforming aisles. Customer satisfaction surveys indicated a 15% improvement in overall shopping experience ratings.
Further, checkout counters are a significant bottleneck in the flow of consumers through a store. With fewer consumers and low registers, checkout lines get long, and the customer experience could be better. This is accomplished using store cameras to monitor zones at each available register. If the average number of individuals in the open register zones surpasses a predetermined level, solution such as Neal's solution can automatically send notifications to store staff to open the registers.
Moreover, the rise in retail stores would create an opportunity for AI video analytics players to develop new tools to cater to a wide range of retail customers. For instance, According to the Bureau of labor statistics, in the 3rd quarter of 2023, there were 1,076,931 private retail trade establishments in the United States which is a rise from the 3rd quarter of 2022 private retail establishments, i.e., 1,061,539. Further, according to the National Bureau of Statistics of China, there were more than 292,383 retail chain stores in China in 2024.
By utilizing facial recognition technology, retailers can manage their operations more intelligently. Shop owners can study the behaviors of particular consumers and provide them with their preferred shopping experience by spotting similar faces around the store. Retailers may voluntarily offer customers the products they have used in the past when a return client visits the store, for instance. This fosters a solid bond of trust between the customer and the business. In such circumstances, the likelihood of customer retention is greatest.
In terms of innovations, recently Google Cloud and Accenture announced new initiatives to help retailers modernize their businesses and benefit from cloud technology, including updates to Accenture's widely used AI. The Retail platform integrates Google Cloud's leading data analytics, AI, and product discovery capabilities. In addition, the two firms agreed on go-to-market campaigns to equip retailers with the technology and tools they need to transform store operations, building on collaborative customer achievements.
Asia-Pacific Market will be the Fastest Growing Market
Asia-Pacific stands out as a pivotal region harnessing AI-driven video surveillance systems, not only to combat crime but also to generate real-time data for system integration. As a prominent IT hub, the region's embrace of AI surveillance has lured global businesses, bolstering revenues and foreign direct investment (FDI). This influx has cultivated a secure environment for local enterprises, propelling the region to a leading major market size in AI video analytics market.
China boasts one of the world's largest video surveillance markets. The nation has established an extensive surveillance framework, deploying facial recognition-equipped cameras across buildings, streets, and lamp posts for individual identification. For example, Dahua Technology unveiled its Cooper-I Series XVR, boasting AI features like SMD (Smart Motion Detection) Plus and AI Coding. These state-of-the-art functionalities come pre-enabled, streamlining and expediting the installation process.
India's Union Budget underscored the nation's heavy reliance on technology. Highlighting this, the 2021 fiscal budget emphasized the transformative potential of AI-driven video surveillance and AI/ML technologies in shaping India's tech landscape. Finance Minister Nirmala Sitharaman announced that the revamped version 3.0 of the Ministry of Corporate Affairs (MCA) portal, MCA 21, will harness data analytics, AI, and machine learning. This initiative aims to simplify regulatory filings, positioning MCA-21 as a centralized information hub, thereby enhancing business operations and compliance monitoring.
The surge in CCTV installations presents a golden opportunity for players to innovate AI video analytics solutions, aiming to dominate the Asia-Pacific market. As a testament, the Nashik Municipal Smart City Development Corporation (NMSCDCL) spearheaded an initiative to install closed-circuit television (CCTV) cameras across the city. With a budget of INR 169 crore (USD 19.4 million), the project envisions 800 cameras, of which over 100 have already been set up.
Japan has been at the forefront of advancing AI video analytics technologies. Companies like Konica Minolta and SoftBank are pioneering AI video analytics tailored for public safety. Furthermore, in response to the pandemic, Japanese organizations have adeptly employed AI video analytics for monitoring social distancing and ensuring mask compliance.
Gorilla Technology Group is among the Japanese firms specializing in AI-driven video surveillance. Bosch Security and Safety Systems offers a video surveillance-as-a-service (VSaaS) in Japan, leveraging built-in analytics for AI-driven data insights. On the regulatory front, Japan's government is proactive, crafting agile governance frameworks to navigate AI's societal implications. With such momentum, the Asia-Pacific region is set for a significant leap in the AI video analytics domain, heralding a wave of investment and innovation.
AI Video Analytics Industry Overview
The global AI video analytics market is semi-consolidated due to large vendors in the global market. The key players are involved in various strategies, such as acquisitions and partnerships, to improve their market share and enhance their profitability in the market. Key players include IndigoVision, Robert Bosch GmbH, AxxonSoft, and others.
In AI video analytics market, key drivers include enhanced security needs, operational efficiency, and the integration of AI and machine learning technologies for advanced surveillance and analytics. The proliferation of smart city initiatives globally is fueling demand for video analytics. These systems are crucial for managing urban environments effectively by enhancing traffic management, preventing crime, and improving emergency response.
AI Video Analytics Market Leaders
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IndigoVision
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Robert Bosch GmbH
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AxxonSoft
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Axis Communications AB
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Panasonic Holdings Corporation
- *Disclaimer: Major Players sorted in no particular order
AI Video Analytics Market News
- March 2025: ASUS IoT and Intel collaborated on Autonomous Vehicles and Smart Surveillance Solutions. Visitors to Hall 3, Booth 257 at embedded world will witness the ASUS IoT RUC-1000G, an innovative edge AI computing platform designed for seamless AI deployment, system integration, and high-performance GPU utilization. The solution is powered by Intel’s Core Ultra S-series processors with W880 chipset, PCIe 5.0 support, and a modular half-rack design for scalable AI applications.
- January 2025: Infosys, in collaboration with Tennis Australia, has launched a new array of AI-driven innovations and platforms for the 2025 Australian Open (AO), further strengthening their seven-year partnership. Infosys will assisting the Australian Open with AI, video analytics, and machine learning tools. Using AI Videos, players and coaches continue to get access to post-match reviews and pre-game advance video analysis.
AI Video Analytics Industry Segmentation
Artificial intelligence for video analytics and surveillance leverages AI and ML algorithms that analyze the audio and images from video surveillance cameras to recognize humans, vehicles, objects, attributes, and events. This represents a sub-set of Video Analytics where AI-based capabilities are leveraged for implementing edge & centralized use cases.
The AI Video Analytics Market is segmented by end users (retail, government, and defense (including public safety), critical infrastructure, transportation, healthcare, and consumers), and geography (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa). The market sizes and forecasts are provided in terms of value (USD) for all the above segments.
| By End-User | Retail |
| Government and Defense (includes public safety) | |
| Critical Infrastructure | |
| Transportation | |
| Healthcare | |
| Consumers | |
| Other End-Users (Education and Hospitality) | |
| By Geography*** | North America |
| Europe | |
| Asia | |
| Australia and New Zealand | |
| Latin America | |
| Middle East and Africa |
AI Video Analytics Market Research Faqs
How big is the AI Video Analytics Market?
The AI Video Analytics Market size is expected to reach USD 5.04 billion in 2025 and grow at a CAGR of 23.35% to reach USD 17.20 billion by 2030.
What is the current AI Video Analytics Market size?
In 2025, the AI Video Analytics Market size is expected to reach USD 5.04 billion.
Who are the key players in AI Video Analytics Market?
IndigoVision, Robert Bosch GmbH, AxxonSoft, Axis Communications AB and Panasonic Holdings Corporation are the major companies operating in the AI Video Analytics Market.
Which is the fastest growing region in AI Video Analytics Market?
Asia-Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).
Which region has the biggest share in AI Video Analytics Market?
In 2025, the North America accounts for the largest market share in AI Video Analytics Market.
What years does this AI Video Analytics Market cover, and what was the market size in 2024?
In 2024, the AI Video Analytics Market size was estimated at USD 3.86 billion. The report covers the AI Video Analytics Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the AI Video Analytics Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.
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AI Video Analytics Industry Report
Statistics for the 2025 AI Video Analytics market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. AI Video Analytics analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.
