AI Video Analytics Market Report 2026

The artificial intelligence (AI) video analytics market size has grown exponentially in recent years. It will grow from $20.75 billion in 2025 to $27.64 billion in 2026 at a compound annual growth rate (CAGR) of 33.2%. The growth in the historic period can be attributed to growth of surveillance infrastructure, adoption of smart city projects, expansion of retail analytics solutions, increased security monitoring demand, falling camera hardware cost.

The artificial intelligence (AI) video analytics market size is expected to see exponential growth in the next few years. It will grow to $86.21 billion in 2030 at a compound annual growth rate (CAGR) of 32.9%. The growth in the forecast period can be attributed to integration of deep learning algorithms, expansion of edge computing adoption, growth of public safety investments, rising automation in security systems, adoption of AI-powered monitoring platforms. Major trends in the forecast period include real-time video processing, facial recognition analytics, behavior detection systems, edge-based video analytics, cloud video intelligence platforms.

The growing concerns surrounding security and safety are anticipated to drive the expansion of the artificial intelligence (AI) video analytics market. These concerns pertain to potential risks or threats that may impact individuals, assets, or data, prompting the implementation of enhanced protective and preventive measures. A significant contributor to these concerns is the rising frequency of cyberattacks, as organizations encounter increasingly sophisticated and persistent intrusions targeting their data, networks, and critical infrastructure. AI-powered video analytics supports these security efforts by enabling real-time threat detection, proactive incident response, and automated monitoring across various settings. For example, in January 2024, according to the Identity Theft Resource Center (ITRC), a US-based non-profit organization, there were 3,205 data breaches in 2023, including exposures, leaks, and unspecified events, affecting approximately 353,027,892 victims, including those impacted by multiple incidents, reflecting a 78% increase from 2022. As a result, these heightened security and safety concerns are fueling the growth of the AI video analytics market.

To improve scalability, accessibility, and real-time data processing, leading companies in the AI video analytics industry are developing innovative solutions, such as cloud-based platforms. These platforms provide on-demand access to data storage, computing resources, and applications over the internet, eliminating the need for on-site infrastructure. In the context of AI video analytics, cloud-based systems support real-time analysis, centralized data management, and the scalable processing of large video datasets. For instance, in November 2024, Yotta Data Services Private Limited, an India-based IT services and consulting firm, introduced Drishticam - an AI-driven, cloud-based video surveillance platform designed for enterprises. This platform features advanced real-time analytics, compatibility with existing systems, and scalable storage capabilities. Leveraging AI and machine learning, it strengthens security through automated monitoring, predictive threat detection, and efficient video data handling, helping businesses enhance operational efficiency, reduce costs, and maintain adaptive, intelligent surveillance.

In April 2023, Alarm.com, a US-based technology company, acquired Vintra to strengthen its capabilities in AI video analytics. The acquisition, for an undisclosed amount, is intended to bolster Alarm.com's AI and machine learning expertise while expanding the range of advanced solutions available on its Alarm.com and OpenEye platforms. Vintra Inc., also based in the US, specializes in using AI to convert video footage into actionable insights that improve safety and productivity.

Major companies operating in the artificial intelligence (AI) video analytics market are Amazon.com Inc., Google LLC, Accenture plc, International Business Machines Corporation, Panasonic Holdings Corporation, Cisco Systems Inc., Qualcomm Technologies Inc., Honeywell International Inc., NVIDIA Corporation, Hangzhou Hikvision Digital Technology Co. Ltd., Robert Bosch GmbH, Genetec Inc., Hanwha Techwin Co. Ltd., Gorilla Technology Group Inc., iOmniscient Pty Ltd, PureTech Systems Inc., Kinesense Ltd., Airpix Inc., Dallmeier electronic GmbH & Co. KG, AllGoVision Technologies Pvt. Ltd.

North America was the largest region in the artificial intelligence (AI) video analytics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) video analytics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) video analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have influenced the AI video analytics market by raising costs of cameras, GPUs, and edge computing hardware used in video processing. Asia-Pacific manufacturing hubs and North American enterprise deployments are most affected. Increased equipment pricing has delayed some large-scale surveillance projects. However, increased regional hardware production and growing cloud-based analytics adoption are helping offset infrastructure cost pressures.

The artificial intelligence (AI) video analytics market research report is one of a series of new reports that provides artificial intelligence (AI) video analytics market statistics, including artificial intelligence (AI) video analytics industry global market size, regional shares, competitors with a artificial intelligence (AI) video analytics market share, detailed artificial intelligence (AI) video analytics market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) video analytics industry. This artificial intelligence (AI) video analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial intelligence (AI) video analytics involves applying AI technologies like machine learning, deep learning, and computer vision to analyze video footage either in real-time or post-recording. This approach allows for the automatic identification, categorization, monitoring, and understanding of objects, actions, and behaviors captured on camera without requiring human input.

The core elements of AI video analytics include both software and services. The software leverages algorithms from machine learning and computer vision to interpret video data, enabling capabilities such as object recognition, behavioral analysis, and facial identification, ultimately offering actionable insights. Deployment options include cloud-based and on-site solutions. This technology is adopted by large corporations as well as small and medium-sized businesses. Its applications span multiple domains, including surveillance, customer behavior analysis, process optimization, risk assessment, and regulatory compliance. It caters to a broad spectrum of users such as retailers, government agencies, defense sectors, critical infrastructure operators, transportation systems, healthcare providers, and individual consumers.

The artificial intelligence (AI) video analytics market consists of revenues earned by entities by providing services such as facial recognition and identification, object detection and tracking, behavioral and sentiment analysis, people counting and crowd management. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) video analytics market also includes sales of AI-powered video surveillance systems, facial recognition software, license plate recognition (LPR) systems, and predictive maintenance solutions. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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