Summary

The AI-powered video analytics market was valued at $7,750.0 million in 2024 and is estimated to reach $42,211.0 million by 2034, exhibiting a CAGR of 18.3% from 2025 to 2034.
AI-powered video analytics refers to the use of artificial intelligence and machine learning algorithms to automatically analyze video footage for real-time or post-event insights. These solutions detect, track, and interpret events, behaviors, or objects from video data, offering significant benefits across security, retail, transportation, healthcare, and smart city applications. The integration of AI in video surveillance systems enhances their accuracy, responsiveness, and efficiency, significantly reducing the need for manual monitoring. intrusion detection, and traffic management.
Rise in concerns about public safety and security, as well as increase in demand for proactive surveillance systems, drives the growth of the AI-powered video analytics market. Government and private sector investments in smart city projects and critical infrastructure security are major contributors to this growth. In addition, the proliferation of connected devices and high-resolution cameras generate vast volumes of video data that require intelligent analysis, fueling demand for AI-based solutions.

Retailers leverage video analytics to gain behavioral insights and enhance customer experience, while transportation sectors use it for traffic optimization and incident detection. The rise in proliferation of cloud-based video storage and advancements in edge computing have further improved real-time processing capabilities, driving broader adoption of video analytics solutions globally.
However, concerns over data privacy and the ethical use of surveillance data restrict its adoption, particularly in regions with strict regulations such as Europe. High upfront costs for deploying AI-enabled surveillance infrastructure, and the need for skilled professionals to manage and interpret data hinder market growth. In addition, issues related to video quality, lighting conditions, and algorithm bias affect the accuracy and reliability of analytics outcomes.

On the other hand, organizations increasingly integrating AI-powered video analytics with existing systems to enhance automation and decision-making offers significant opportunities for market growth. The integration of deep learning, natural language processing (NLP), and real-time alerts is expanding the application scope beyond traditional security. Emerging markets, particularly in Asia-Pacific and the Middle East, offer promising prospects due to urbanization and infrastructure development. Moreover, introducing collaborations between AI startups and surveillance hardware providers are expected to fuel innovation and market expansion in the coming years. For instance, in November 2024, Axis Communications AB released its ARTPEC‑9 SoC, next-gen analytics, improved imaging, cybersecurity enhancements, and AV1 video encoding capabilities.

Segment Review
The AI-powered video analytics market is segmented on the basis of component, deployment model, enterprise size, application, and region. By component, it is divided into software and services. By deployment model, it is classified into cloud and on-premises. By enterprise size, it is categorized into large enterprises and small and medium sized enterprises. By application, it is fragmented into transportation, retail, enterprise and others. By region, the market is studied across North America, Europe, Asia-Pacific, and LAMEA.

Key Findings
By type, thepeer-to-peer lending segment accounted for the largest alternative lending market size in 2023.

By tenure, the mid-term segment accounted for the largest alternative lending market share in 2023.

By end user, the businesses segment accounted for the largestmarket share in 2023.

Region-wise, North America generated the highest revenue in 2024.

Competition Analysis
The market players operating in the AI-powered video analytics market are Axis Communications AB, Briefcam ltd., Genetec Inc., Motorola Solutions Inc., Identiv, Inc., Hangzhou Hikvision Digital Technology Co., Ltd., NEC Corporation, Google LLC, Infosys Limited., AxxonSoft LLC, iOmniscient, Shyam Spectra Pvt. Ltd., Irisity AB, VCA Technology Ltd, IntelliVision, Hanwha Vision America IncGorilla Technology Group, Beijing Kuangshi Technology Co.,Ltd., SenseTime Group Inc. and Videonetics Technology Pvt. Ltd.


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Key Market Segments
By Enterprise Size
● Large Enterprises
● Small and medium sized enterprises

By Component
● Software
● Services

By Deployment Model
● Cloud
● On-Premises

By Application
● Transportation
● Retail
● Enterprise
● Others

By Region
● North America
○ U.S.
○ Canada
● Europe
○ UK
○ Germany
○ France
○ Italy
○ Spain
○ Rest of Europe
● Asia-Pacific
○ China
○ Japan
○ India
○ Australia
○ South Korea
○ Rest of Asia-Pacific
● LAMEA
○ Latin America
○ Middle East
○ Africa

● Key Market Players
○ Axis Communications AB
○ Genetec Inc.
○ Motorola Solutions Inc.
○ Hangzhou Hikvision Digital Technology Co., Ltd.
○ Google LLC
○ Infosys Limited.
○ iOmniscient
○ Shyam Spectra Pvt. Ltd.
○ IntelliVision
○ Beijing Kuangshi Technology Co.,Ltd.
○ SenseTime Group Inc.
○ VCA Technology Ltd.
○ Gorilla Technology Group Inc.
○ Videonetics Technology Pvt. Ltd
○ Identiv, Inc.
○ NEC Corporation
○ AxxonSoft LLC
○ Irisity AB
○ Hanwha Vision America Inc.
○ BriefCam Ltd.

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Table of Contents

CHAPTER 1: INTRODUCTION

1.1. Report description


1.2. Key market segments


1.3. Key benefits to the stakeholders


1.4. Research methodology

1.4.1. Primary research


1.4.2. Secondary research


1.4.3. Analyst tools and models


CHAPTER 2: EXECUTIVE SUMMARY

2.1. CXO perspective


CHAPTER 3: MARKET OVERVIEW

3.1. Market definition and scope


3.2. Key findings

3.2.1. Top impacting factors


3.2.2. Top investment pockets


3.3. Porter’s five forces analysis
3.3.1. Moderate to high bargaining power of suppliers

3.3.2. Moderate to high threat of new entrants

3.3.3. Moderate to high threat of substitutes

3.3.4. Low to high intensity of rivalry

3.3.5. Moderate to high bargaining power of buyers

3.4. Market dynamics

3.4.1. Drivers

3.4.1.1. Adoption of Cloud Platforms & Scalable Analytics

3.4.1.2. Proliferation of Cameras and IoT Devices

3.4.2. Restraints

3.4.2.1. High Initial Setup and Integration Costs

3.4.2.2. Data Storage and Management Challenges for Video Stream

3.4.3. Opportunities

3.4.3.1. Convergence with 5G Networks for Smart Infrastructure

CHAPTER 4: AI-POWERED VIDEO ANALYTICS MARKET, BY COMPONENT
4.1. Overview

4.1.1. Market size and forecast

4.2. Software
4.2.1. Key market trends, growth factors and opportunities

4.2.2. Market size and forecast, by region

4.2.3. Market share analysis by country

4.3. Services
4.3.1. Key market trends, growth factors and opportunities

4.3.2. Market size and forecast, by region

4.3.3. Market share analysis by country

CHAPTER 5: AI-POWERED VIDEO ANALYTICS MARKET, BY DEPLOYMENT MODEL
5.1. Overview

5.1.1. Market size and forecast

5.2. Cloud
5.2.1. Key market trends, growth factors and opportunities

5.2.2. Market size and forecast, by region

5.2.3. Market share analysis by country

5.3. On-Premises
5.3.1. Key market trends, growth factors and opportunities

5.3.2. Market size and forecast, by region

5.3.3. Market share analysis by country

CHAPTER 6: AI-POWERED VIDEO ANALYTICS MARKET, BY ENTERPRISE SIZE
6.1. Overview

6.1.1. Market size and forecast

6.2. Large Enterprises
6.2.1. Key market trends, growth factors and opportunities

6.2.2. Market size and forecast, by region

6.2.3. Market share analysis by country

6.3. Small and medium sized enterprises
6.3.1. Key market trends, growth factors and opportunities

6.3.2. Market size and forecast, by region

6.3.3. Market share analysis by country

CHAPTER 7: AI-POWERED VIDEO ANALYTICS MARKET, BY APPLICATION
7.1. Overview

7.1.1. Market size and forecast

7.2. Transportation
7.2.1. Key market trends, growth factors and opportunities

7.2.2. Market size and forecast, by region

7.2.3. Market share analysis by country

7.3. Retail
7.3.1. Key market trends, growth factors and opportunities

7.3.2. Market size and forecast, by region

7.3.3. Market share analysis by country

7.4. Enterprise
7.4.1. Key market trends, growth factors and opportunities

7.4.2. Market size and forecast, by region

7.4.3. Market share analysis by country

7.5. Others
7.5.1. Key market trends, growth factors and opportunities

7.5.2. Market size and forecast, by region

7.5.3. Market share analysis by country

CHAPTER 8: AI-POWERED VIDEO ANALYTICS MARKET, BY REGION
8.1. Overview

8.1.1. Market size and forecast By Region

8.2. North America
8.2.1. Key market trends, growth factors and opportunities

8.2.2. Market size and forecast, by Component

8.2.3. Market size and forecast, by Deployment Model

8.2.4. Market size and forecast, by Enterprise Size

8.2.5. Market size and forecast, by Application

8.2.6. Market size and forecast, by country
8.2.6.1. U.S.

8.2.6.1.1. Market size and forecast, by Component
8.2.6.1.2. Market size and forecast, by Deployment Model
8.2.6.1.3. Market size and forecast, by Enterprise Size
8.2.6.1.4. Market size and forecast, by Application

8.2.6.2. Canada

8.2.6.2.1. Market size and forecast, by Component
8.2.6.2.2. Market size and forecast, by Deployment Model
8.2.6.2.3. Market size and forecast, by Enterprise Size
8.2.6.2.4. Market size and forecast, by Application

8.3. Europe
8.3.1. Key market trends, growth factors and opportunities

8.3.2. Market size and forecast, by Component

8.3.3. Market size and forecast, by Deployment Model

8.3.4. Market size and forecast, by Enterprise Size

8.3.5. Market size and forecast, by Application

8.3.6. Market size and forecast, by country
8.3.6.1. UK

8.3.6.1.1. Market size and forecast, by Component
8.3.6.1.2. Market size and forecast, by Deployment Model
8.3.6.1.3. Market size and forecast, by Enterprise Size
8.3.6.1.4. Market size and forecast, by Application

8.3.6.2. Germany

8.3.6.2.1. Market size and forecast, by Component
8.3.6.2.2. Market size and forecast, by Deployment Model
8.3.6.2.3. Market size and forecast, by Enterprise Size
8.3.6.2.4. Market size and forecast, by Application

8.3.6.3. France

8.3.6.3.1. Market size and forecast, by Component
8.3.6.3.2. Market size and forecast, by Deployment Model
8.3.6.3.3. Market size and forecast, by Enterprise Size
8.3.6.3.4. Market size and forecast, by Application

8.3.6.4. Italy

8.3.6.4.1. Market size and forecast, by Component
8.3.6.4.2. Market size and forecast, by Deployment Model
8.3.6.4.3. Market size and forecast, by Enterprise Size
8.3.6.4.4. Market size and forecast, by Application

8.3.6.5. Spain

8.3.6.5.1. Market size and forecast, by Component
8.3.6.5.2. Market size and forecast, by Deployment Model
8.3.6.5.3. Market size and forecast, by Enterprise Size
8.3.6.5.4. Market size and forecast, by Application

8.3.6.6. Rest of Europe

8.3.6.6.1. Market size and forecast, by Component
8.3.6.6.2. Market size and forecast, by Deployment Model
8.3.6.6.3. Market size and forecast, by Enterprise Size
8.3.6.6.4. Market size and forecast, by Application

8.4. Asia-Pacific
8.4.1. Key market trends, growth factors and opportunities

8.4.2. Market size and forecast, by Component

8.4.3. Market size and forecast, by Deployment Model

8.4.4. Market size and forecast, by Enterprise Size

8.4.5. Market size and forecast, by Application

8.4.6. Market size and forecast, by country
8.4.6.1. China

8.4.6.1.1. Market size and forecast, by Component
8.4.6.1.2. Market size and forecast, by Deployment Model
8.4.6.1.3. Market size and forecast, by Enterprise Size
8.4.6.1.4. Market size and forecast, by Application

8.4.6.2. Japan

8.4.6.2.1. Market size and forecast, by Component
8.4.6.2.2. Market size and forecast, by Deployment Model
8.4.6.2.3. Market size and forecast, by Enterprise Size
8.4.6.2.4. Market size and forecast, by Application

8.4.6.3. India

8.4.6.3.1. Market size and forecast, by Component
8.4.6.3.2. Market size and forecast, by Deployment Model
8.4.6.3.3. Market size and forecast, by Enterprise Size
8.4.6.3.4. Market size and forecast, by Application

8.4.6.4. Australia

8.4.6.4.1. Market size and forecast, by Component
8.4.6.4.2. Market size and forecast, by Deployment Model
8.4.6.4.3. Market size and forecast, by Enterprise Size
8.4.6.4.4. Market size and forecast, by Application

8.4.6.5. South Korea

8.4.6.5.1. Market size and forecast, by Component
8.4.6.5.2. Market size and forecast, by Deployment Model
8.4.6.5.3. Market size and forecast, by Enterprise Size
8.4.6.5.4. Market size and forecast, by Application

8.4.6.6. Rest of Asia-Pacific

8.4.6.6.1. Market size and forecast, by Component
8.4.6.6.2. Market size and forecast, by Deployment Model
8.4.6.6.3. Market size and forecast, by Enterprise Size
8.4.6.6.4. Market size and forecast, by Application

8.5. LAMEA
8.5.1. Key market trends, growth factors and opportunities

8.5.2. Market size and forecast, by Component

8.5.3. Market size and forecast, by Deployment Model

8.5.4. Market size and forecast, by Enterprise Size

8.5.5. Market size and forecast, by Application

8.5.6. Market size and forecast, by country
8.5.6.1. Latin America

8.5.6.1.1. Market size and forecast, by Component
8.5.6.1.2. Market size and forecast, by Deployment Model
8.5.6.1.3. Market size and forecast, by Enterprise Size
8.5.6.1.4. Market size and forecast, by Application

8.5.6.2. Middle East

8.5.6.2.1. Market size and forecast, by Component
8.5.6.2.2. Market size and forecast, by Deployment Model
8.5.6.2.3. Market size and forecast, by Enterprise Size
8.5.6.2.4. Market size and forecast, by Application

8.5.6.3. Africa

8.5.6.3.1. Market size and forecast, by Component
8.5.6.3.2. Market size and forecast, by Deployment Model
8.5.6.3.3. Market size and forecast, by Enterprise Size
8.5.6.3.4. Market size and forecast, by Application

CHAPTER 9: COMPETITIVE LANDSCAPE
9.1. Introduction

9.2. Top winning strategies

9.3. Product mapping of top 10 player

9.4. Competitive dashboard

9.5. Competitive heatmap

9.6. Top player positioning, 2024

CHAPTER 10: COMPANY PROFILES
10.1. IntelliVision
10.1.1. Company overview

10.1.2. Key executives

10.1.3. Company snapshot

10.1.4. Operating business segments

10.1.5. Product portfolio

10.2. Gorilla Technology Group Inc.
10.2.1. Company overview

10.2.2. Key executives

10.2.3. Company snapshot

10.2.4. Operating business segments

10.2.5. Product portfolio

10.2.6. Business performance

10.3. BriefCam Ltd.
10.3.1. Company overview

10.3.2. Key executives

10.3.3. Company snapshot

10.3.4. Operating business segments

10.3.5. Product portfolio

10.3.6. Key strategic moves and developments

10.4. Axis Communications AB
10.4.1. Company overview

10.4.2. Key executives

10.4.3. Company snapshot

10.4.4. Operating business segments

10.4.5. Product portfolio

10.4.6. Business performance

10.4.7. Key strategic moves and developments

10.5. Genetec Inc.
10.5.1. Company overview

10.5.2. Key executives

10.5.3. Company snapshot

10.5.4. Operating business segments

10.5.5. Product portfolio

10.6. Motorola Solutions Inc.
10.6.1. Company overview

10.6.2. Key executives

10.6.3. Company snapshot

10.6.4. Operating business segments

10.6.5. Product portfolio

10.6.6. Business performance

10.6.7. Key strategic moves and developments

10.7. Identiv, Inc.
10.7.1. Company overview

10.7.2. Key executives

10.7.3. Company snapshot

10.7.4. Operating business segments

10.7.5. Product portfolio

10.7.6. Business performance

10.7.7. Key strategic moves and developments

10.8. Irisity AB
10.8.1. Company overview

10.8.2. Key executives

10.8.3. Company snapshot

10.8.4. Operating business segments

10.8.5. Product portfolio

10.8.6. Business performance

10.9. SenseTime Group Inc.
10.9.1. Company overview

10.9.2. Key executives

10.9.3. Company snapshot

10.9.4. Operating business segments

10.9.5. Product portfolio

10.9.6. Business performance

10.10. Beijing Kuangshi Technology Co.,Ltd.
10.10.1. Company overview

10.10.2. Key executives

10.10.3. Company snapshot

10.10.4. Operating business segments

10.10.5. Product portfolio

10.11. Hangzhou Hikvision Digital Technology Co., Ltd.
10.11.1. Company overview

10.11.2. Key executives

10.11.3. Company snapshot

10.11.4. Operating business segments

10.11.5. Product portfolio

10.11.6. Business performance

10.12. Hanwha Vision America Inc.
10.12.1. Company overview

10.12.2. Key executives

10.12.3. Company snapshot

10.12.4. Operating business segments

10.12.5. Product portfolio

10.13. NEC Corporation
10.13.1. Company overview

10.13.2. Key executives

10.13.3. Company snapshot

10.13.4. Operating business segments

10.13.5. Product portfolio

10.13.6. Business performance

10.14. iOmniscient
10.14.1. Company overview

10.14.2. Key executives

10.14.3. Company snapshot

10.14.4. Operating business segments

10.14.5. Product portfolio

10.15. Google LLC
10.15.1. Company overview

10.15.2. Key executives

10.15.3. Company snapshot

10.15.4. Operating business segments

10.15.5. Product portfolio

10.15.6. Business performance

10.16. Infosys Limited.
10.16.1. Company overview

10.16.2. Key executives

10.16.3. Company snapshot

10.16.4. Operating business segments

10.16.5. Product portfolio

10.16.6. Business performance

10.17. Shyam Spectra Pvt. Ltd.
10.17.1. Company overview

10.17.2. Key executives

10.17.3. Company snapshot

10.17.4. Operating business segments

10.17.5. Product portfolio

10.18. Videonetics Technology Pvt. Ltd
10.18.1. Company overview

10.18.2. Key executives

10.18.3. Company snapshot

10.18.4. Operating business segments

10.18.5. Product portfolio

10.19. VCA Technology Ltd.
10.19.1. Company overview

10.19.2. Key executives

10.19.3. Company snapshot

10.19.4. Operating business segments

10.19.5. Product portfolio

10.20. AxxonSoft LLC
10.20.1. Company overview

10.20.2. Key executives

10.20.3. Company snapshot

10.20.4. Operating business segments

10.20.5. Product portfolio