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Artificial Intelligence (AI) Video Analytics Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence (AI) video analytics market has shown significant expansion in recent years. This market is set to increase from $20.75 billion in 2025 to $27.64 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 33.2%. Historically, this growth can be ascribed to several factors, including the development of surveillance infrastructure, the implementation of smart city projects, the broadening of retail analytics solutions, a heightened need for security monitoring, and the decline in camera hardware expenses.
The artificial intelligence (AI) video analytics market size is anticipated to undergo significant expansion in the coming years. It is projected to reach $86.21 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 32.9%. This projected growth can be ascribed to the integration of deep learning algorithms, the increasing adoption of edge computing, a rise in public safety investments, the growing automation of security systems, and the implementation of AI-powered monitoring platforms. Prominent trends expected during this forecast period include real-time video processing, facial recognition analytics, advanced behavior detection systems, edge-based video analytics, and comprehensive cloud video intelligence platforms.
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Artificial Intelligence (AI) Video Analytics Market Industry Drivers: What Is Driving Revenue Growth?
The increasing focus on security and safety issues is projected to boost the growth of the artificial intelligence (AI) video analytics market moving forward. These security and safety concerns encompass potential risks or dangers that could harm individuals, assets, or data, often necessitating enhanced protection and prevention measures. The escalation of these concerns is primarily driven by the rising frequency of cyberattacks, as organizations encounter greater threats to their data, networks, and essential infrastructure from sophisticated and frequent cyber intrusions. Artificial intelligence (AI) video analytics contributes to improved security and safety by enabling real-time threat detection, proactive incident response, and automated surveillance across various environments. For example, in January 2024, the Identity Theft Resource Center (ITRC), a US-based non-profit organization, indicated that 2023 saw 3,205 data breaches, exposures, leaks, and unspecified events, affecting approximately 353,027,892 victims, including those impacted by multiple incidents, marking a 78% increase from 2022. Thus, the escalating security and safety concerns are fueling the expansion of the artificial intelligence (AI) video analytics market.
Artificial Intelligence (AI) Video Analytics Market Segment Analysis: What Are The Major Market Categories?
The artificial intelligence (AI) video analytics market covered in this report is segmented –
1) By Component: Software, Services
2) 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 Software
2) By Services: Installation Services, Maintenance Services, Data Retrieval And Analysis Services, Consulting And Support Services
Artificial Intelligence (AI) Video Analytics Market Strategic Trends: What Is Defining The Next Phase Of Growth?
Leading companies in the artificial intelligence (AI) video analytics market are concentrating on developing innovative solutions, such as cloud-based platforms, to enhance scalability, accessibility, and real-time data processing. These cloud-based platforms are online computing environments that provide on-demand access to data storage, processing power, and software applications over the internet. They assist artificial intelligence (AI) video analytics by enabling instantaneous analysis, centralized data management, and scalable processing of extensive volumes of video data without requiring on-premise infrastructure. For instance, in November 2024, Yotta Data Services Private Limited, an India-based IT service and consulting company, launched Drishticam, an AI-driven, cloud-based video surveillance platform tailored for enterprises. This platform delivers advanced real-time analytics, seamless integration with existing systems, and scalable storage. By leveraging AI and machine learning, it strengthens security through automated monitoring, predictive threat detection, and efficient video data handling, thereby helping businesses to boost operational efficiency, reduce costs, and ensure continuous, intelligent surveillance that adapts to evolving needs.
Artificial Intelligence (AI) Video Analytics Market Leading Companies Driving Competitive Growth
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.
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Artificial Intelligence (AI) Video Analytics Market Leading Geography: Which Region Generates The Most Revenue?
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.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.