The artificial intelligence (AI) video analytics market size is expected to see exponential growth in the next few years. It will grow to $64.92 billion in 2029 at a compound annual growth rate (CAGR) of 33%. The projected growth during the forecast period can be linked to the increasing integration of AI with edge computing, rising demand for smart city development, a stronger emphasis on privacy-compliant surveillance systems, the expansion of autonomous retail and logistics operations, and a surge in multi-modal AI fusion. Key trends expected in this period include the incorporation of AI into edge devices, the implementation of privacy-preserving solutions, the broadening of applications beyond security, the utilization of multimodal data fusion, and a growing shift toward no-code and low-code development 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, according to the Identity Theft Resource Center, a US-based non-profit organization, the number of data breaches in the first three quarters of 2023 reached 2,116, surpassing the previous record of 1,862 breaches set in 2021. 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 players 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 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI) video analytics report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the artificial intelligence (AI) video analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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 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 the artificial intelligence (AI) video analytics market share, 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.
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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Table of Contents
Executive Summary
Artificial Intelligence (AI) Video Analytics Global Market Report 2025 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on artificial intelligence (ai) video analytics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence (ai) video analytics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence (ai) video analytics market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Component: Software; Services2) By Deployment Model: Cloud-Based; On-Premises
3) By Enterprise Size: Large Enterprises; Small And Medium Sized Enterprises
4) By Applications: Security And Surveillance; Customer Analytics; Operational Efficiency; Risk Management; Compliance
5) By End-User: Retail; Government And Defense; Critical Infrastructure; Transportation; Healthcare; Consumers; Other End-Users
Subsegments:
1) By Software: Data Management Software; Data Analysis Software; Cloud-Based Software Solutions; On-Board Event Data Recorder Software2) By Services: Installation Services; Maintenance Services; Data Retrieval And Analysis Services; Consulting And Support Services
Key Companies Profiled: Amazon.com Inc.; Google LLC; Accenture plc; International Business Machines Corporation; Panasonic Holdings Corporation
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- 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.