Industry: Service & Software
Published Date: 2026-07-15
Pages: 105 Pages
Report ld: 6971530
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The global market for AI-Powered Video Analytics was estimated to be worth US$ million in 2025 and is projected to reach US$ million, growing at a CAGR of %from 2026 to 2032.
AI powered video analytics are event-based solutions that apply deep learning and artificial intelligence, efficiently analyses vast amount of data generated by videos, and generates quick response in real time. This system reduces manual monitoring and associated costs and increases productivity of video surveillance systems.
North Americas will contribute to the maximum growth of this intelligent video surveillance market throughout the predicted period. Factors such as the growing need for an increased overall productivity, business analytics, and rise in OTT services, will positively influence the AI-powered video analytics market size and share in this region.
This report provides a comprehensive view of the global market for AI-Powered Video Analytics, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.
The AI-Powered Video Analytics market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding AI-Powered Video Analytics.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the AI-Powered Video Analytics companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents AI-Powered Video Analytics revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents AI-Powered Video Analytics revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Market Overview
1.1 AI-Powered Video Analytics Product Introduction
1.2 Global AI-Powered Video Analytics Market Size Forecast (2021–2032)
1.3 AI-Powered Video Analytics Market Trends & Drivers
1.3.1 AI-Powered Video Analytics Industry Trends
1.3.2 AI-Powered Video Analytics Market Drivers & Opportunities
1.3.3 AI-Powered Video Analytics Market Challenges
1.3.4 AI-Powered Video Analytics Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI-Powered Video Analytics Players Revenue Ranking (2025)
2.2 Global AI-Powered Video Analytics Revenue by Company (2021–2026)
2.3 Key Companies’ R&D and Operations Footprint and Headquarters
2.4 Key Companies AI-Powered Video Analytics Product Offerings
2.5 Key Companies General Availability (GA) Timeline for AI-Powered Video Analytics
2.6 AI-Powered Video Analytics Market Competitive Analysis
2.6.1 AI-Powered Video Analytics Market Concentration Rate (2021–2026)
2.6.2 Top 5 and Top 10 Global Companies by AI-Powered Video Analytics Revenue in 2025
2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on AI-Powered Video Analytics revenue, 2025
2.7 Mergers & Acquisitions and Expansion
3 Segmentation AI-Powered Video Analytics Market Classification
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software
3.1.3 Service
3.1.4 Global AI-Powered Video Analytics Sales Value by Type
3.1.4.1 Global AI-Powered Video Analytics Sales Value by Type (2021 vs 2025 vs 2032)
3.1.4.2 Global AI-Powered Video Analytics Sales Value, by Type (2021–2032)
3.1.4.3 Global AI-Powered Video Analytics Sales Value, by Type (%), 2021–2032
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Retail
4.1.2 Transportation
4.1.3 Infrastructure
4.1.4 Enterprise
4.2 Global AI-Powered Video Analytics Sales Value by Application
4.2.1 Global AI-Powered Video Analytics Sales Value by Application (2021 vs 2025 vs 2032)
4.2.2 Global AI-Powered Video Analytics Sales Value by Application (2021–2032)
4.2.3 Global AI-Powered Video Analytics Sales Value by Application (%), 2021–2032
5 Segmentation by Region
5.1 Global AI-Powered Video Analytics Sales Value by Region
5.1.1 Global AI-Powered Video Analytics Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global AI-Powered Video Analytics Sales Value by Region (2021–2026)
5.1.3 Global AI-Powered Video Analytics Sales Value by Region (2027–2032)
5.1.4 Global AI-Powered Video Analytics Sales Value by Region (%), 2021–2032
5.2 North America
5.2.1 North America AI-Powered Video Analytics Sales Value, 2021–2032
5.2.2 North America AI-Powered Video Analytics Sales Value by Country (%), 2025 vs 2032
5.3 Europe
5.3.1 Europe AI-Powered Video Analytics Sales Value, 2021–2032
5.3.2 Europe AI-Powered Video Analytics Sales Value by Country (%), 2025 vs 2032
5.4 Asia Pacific
5.4.1 Asia Pacific AI-Powered Video Analytics Sales Value, 2021–2032
5.4.2 Asia Pacific AI-Powered Video Analytics Sales Value by Subregion (%), 2025 vs 2032
5.5 South America
5.5.1 South America AI-Powered Video Analytics Sales Value, 2021–2032
5.5.2 South America AI-Powered Video Analytics Sales Value by Country (%), 2025 vs 2032
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI-Powered Video Analytics Sales Value, 2021–2032
5.6.2 Middle East & Africa AI-Powered Video Analytics Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI-Powered Video Analytics Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions AI-Powered Video Analytics Sales Value, 2021–2032
6.3 United States
6.3.1 United States AI-Powered Video Analytics Sales Value, 2021–2032
6.3.2 United States AI-Powered Video Analytics Sales Value by Type (%), 2025 vs 2032
6.3.3 United States AI-Powered Video Analytics Sales Value by Application, 2025 vs 2032
6.4 Europe
6.4.1 Europe AI-Powered Video Analytics Sales Value, 2021–2032
6.4.2 Europe AI-Powered Video Analytics Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe AI-Powered Video Analytics Sales Value by Application, 2025 vs 2032
6.5 China
6.5.1 China AI-Powered Video Analytics Sales Value, 2021–2032
6.5.2 China AI-Powered Video Analytics Sales Value by Type (%), 2025 vs 2032
6.5.3 China AI-Powered Video Analytics Sales Value by Application, 2025 vs 2032
6.6 Japan
6.6.1 Japan AI-Powered Video Analytics Sales Value, 2021–2032
6.6.2 Japan AI-Powered Video Analytics Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan AI-Powered Video Analytics Sales Value by Application, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea AI-Powered Video Analytics Sales Value, 2021–2032
6.7.2 South Korea AI-Powered Video Analytics Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea AI-Powered Video Analytics Sales Value by Application, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia AI-Powered Video Analytics Sales Value, 2021–2032
6.8.2 Southeast Asia AI-Powered Video Analytics Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia AI-Powered Video Analytics Sales Value by Application, 2025 vs 2032
6.9 India
6.9.1 India AI-Powered Video Analytics Sales Value, 2021–2032
6.9.2 India AI-Powered Video Analytics Sales Value by Type (%), 2025 vs 2032
6.9.3 India AI-Powered Video Analytics Sales Value by Application, 2025 vs 2032
7 Company Profiles
7.1 Agent Vi
7.1.1 Agent Vi Profile
7.1.2 Agent Vi Main Business
7.1.3 Agent Vi AI-Powered Video Analytics Products, Services, and Solutions
7.1.4 Agent Vi AI-Powered Video Analytics Revenue (US$ Million), 2021–2026
7.1.5 Agent Vi Recent Developments
7.2 Cisco
7.2.1 Cisco Profile
7.2.2 Cisco Main Business
7.2.3 Cisco AI-Powered Video Analytics Products, Services, and Solutions
7.2.4 Cisco AI-Powered Video Analytics Revenue (US$ Million), 2021–2026
7.2.5 Cisco Recent Developments
7.3 IBM
7.3.1 IBM Profile
7.3.2 IBM Main Business
7.3.3 IBM AI-Powered Video Analytics Products, Services, and Solutions
7.3.4 IBM AI-Powered Video Analytics Revenue (US$ Million), 2021–2026
7.3.5 IBM Recent Developments
7.4 IntelliVision
7.4.1 IntelliVision Profile
7.4.2 IntelliVision Main Business
7.4.3 IntelliVision AI-Powered Video Analytics Products, Services, and Solutions
7.4.4 IntelliVision AI-Powered Video Analytics Revenue (US$ Million), 2021–2026
7.4.5 IntelliVision Recent Developments
7.5 Verint
7.5.1 Verint Profile
7.5.2 Verint Main Business
7.5.3 Verint AI-Powered Video Analytics Products, Services, and Solutions
7.5.4 Verint AI-Powered Video Analytics Revenue (US$ Million), 2021–2026
7.5.5 Verint Recent Developments
7.6 Vintra
7.6.1 Vintra Profile
7.6.2 Vintra Main Business
7.6.3 Vintra AI-Powered Video Analytics Products, Services, and Solutions
7.6.4 Vintra AI-Powered Video Analytics Revenue (US$ Million), 2021–2026
7.6.5 Vintra Recent Developments
8 Industry Chain Analysis
8.1 AI-Powered Video Analytics Value Chain
8.2 AI-Powered Video Analytics Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Cost Structure
8.3 Midstream Analysis
8.4 Downstream (Customer) Analysis
8.5 Sales Model and Sales Channelss
8.5.1 AI-Powered Video Analytics Sales Model
8.5.2 Sales Channels
8.5.3 AI-Powered Video Analytics Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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