AI in Video Surveillance Market Share, Trends & Forecast by 2034

Q: What is the Sales Forecast for the AI in Video Surveillance Market by 2034?

The market is expected to reach US$ 47.0 billion by 2034. Read Report

AI in Video Surveillance Market Outlook from 2024 to 2034

The AI in video surveillance market is projected to be valued at US$ 5.7 billion in 2024 and is expected to rise to US$ 47.0 billion by 2034. The global AI in video surveillance market is expected to grow at a CAGR of 23.6% during the forecast period.

The demand for AI in video surveillance is increasing due to its ability to enhance efficiency, accuracy, and proactive threat detection in monitoring and analyzing vast amounts of video data.

Key Market Drivers

The integration of AI technology enhances the accuracy and complexity of video analytics, allowing for the recognition and interpretation of intricate patterns and behaviors, driving the market.
The need to detect potential threats in real time, reduce response time and enhance overall security is boosting the demand for AI-powered video surveillance. Automating video monitoring tasks through AI reduces the need for extensive human intervention, leading to significant cost savings in surveillance operations.
The requirement for efficiently handling large amounts of video data is driving the demand for AI systems to provide a scalable solution for expansive surveillance networks.
The integration with the Internet of Things (IoT) allows for a more comprehensive approach to surveillance, incorporating data from various sources for a more holistic security strategy.
Continued advancements in deep learning algorithms improve AI's ability to recognize and analyze complex visual patterns, leading to more accurate and efficient surveillance.
AI can address privacy concerns by implementing features like anonymization and selective data processing, ensuring a balance between security and individual privacy. This is stimulating growth in the market.

Attributes	Key Statistics
AI in Video Surveillance Market Value (2024)	US$ 5.7 billion
Anticipated Market Value (2034)	US$ 47.0 billion
Estimated Growth (2024 to 2034)	23.6% CAGR

Don't pay for what you don't need

Customize your report by selecting specific countries or regions and save 30%!

Trend Analysis of the AI in Video Surveillance Market

The trend for AI in video surveillance leads to higher sales and widespread adoption of AI technology in the surveillance industry.
Businesses and organizations seek more sophisticated and efficient security solutions that offer real-time threat detection, enhanced video analytics, and scalable surveillance systems.
AI-powered video surveillance is highly preferred because it can automate tasks, analyze complex patterns, and provide more accurate and timely information.
Companies are investing in cutting-edge AI-powered video surveillance systems to bolster their security infrastructure, increasing sales of such solutions. These systems can provide traditional security measures and advanced features like behavioral analysis, anomaly detection, and integration with other technologies.
The adoption of AI in Video Surveillance is widespread across various industries, including retail, transportation, banking, and smart cities.
Businesses are integrating AI technologies into their surveillance systems to stay ahead in threat detection, monitor large-scale environments, and comply with evolving regulatory requirements.
The versatility and scalability of AI technology, along with its ability to offer business intelligence insights and facilitate remote monitoring and management, have made it increasingly popular in the Video Surveillance market.

Factors Adversely Affecting the AI in Video Surveillance Market

The market is experiencing growth, though several restraining factors can adversely affect its development and expansion.

The significant expenses in implementing AI-powered video surveillance systems, including hardware, software, and training, may deter budget-constrained businesses from adopting this technology.
Growing concerns regarding the security and privacy of video data raise regulatory challenges, limiting the widespread adoption of AI in video surveillance due to fears of unauthorized access, data breaches, and potential misuse.
The need for more professionals with expertise in AI and video surveillance technologies may hinder the effective deployment and maintenance of AI systems, slowing down market growth.
Integrating AI technologies with existing video surveillance infrastructure can be complex and require substantial modifications, posing challenges for organizations seeking a seamless transition to AI-enhanced systems.
Resistance to adopting new technologies and a preference for traditional surveillance methods can hinder the widespread acceptance of AI in video surveillance among certain industries or regions.
Perceptions of AI system unreliability or false positives/negatives in threat detection may deter some organizations from fully trusting and embracing AI-powered video surveillance solutions.

Talk to Analyst

Find your sweet spots for generating winning opportunities in this market.

Category-wise Insights

Increasing Importance of Edge Computing in Surveillance Applications

Attributes	Details
Offerings	Hardware
CAGR (2024 to 2034)	23.4%

The hardware segment dominates the AI in the video surveillance market, growing at a CAGR of 23.4% through 2034. This rising popularity is attributed to:

AI algorithms, particularly deep learning models used for image and video analysis, have demanding computational requirements.
Dedicated hardware accelerators, such as GPUs and TPUs, enhance these algorithms' efficiency and processing speed, enabling faster real-time analysis and response.
The demand for edge computing in video surveillance has increased, leading to specialized hardware at the edge that processes data locally without relying heavily on centralized cloud resources.
Edge devices with AI-dedicated hardware allow quicker decision-making and reduced latency, improving bandwidth efficiency.

On-premises Provides Better Control and Security over Sensitive Video Data

Attributes	Details
Deployment Mode	On-premises
CAGR (2024 to 2034)	23.1%

Based on the deployment mode, On-premises dominates the global AI in video surveillance market with an annual growth of 23.1% CAGR. This rising popularity is attributed to:

On-premises deployment mode also ensures compliance with data protection standards, which is crucial for sectors with strict regulatory compliance requirements.
On-premises deployment offers lower latency and faster processing speeds for real-time video analysis, essential for proactive threat detection and effective security measures.
Organizations can achieve faster decision-making without relying on external cloud services by processing AI algorithms locally on on-premises servers or edge devices.

Country-wise Insights

The section analyzes the AI in video surveillance market by country, including the United States, the United Kingdom, China, Japan, and South Korea. The table presents the CAGRs for each country through 2034.

Countries	CAGR through 2034
United States	23.8%
United Kingdom	24.1%
China	24.4%
Japan	25.0%
South Korea	24.8%

Korean Combination of Technological Prowess and Government Support

South Korea is the leading Asian country in the market. The Korean AI in video surveillance market is expected to register an annual growth rate of 24.8% until 2034.

Korean companies are at the forefront of developing AI-based video analytics and surveillance solutions.
The government's initiatives to create safer cities and enhance public security have led to increased investments in AI-powered video surveillance.
South Korea's focus on smart city development and advancements in facial recognition technology contribute to the growing adoption of AI in video surveillance for both public and private applications.

Dedication to Technological Innovation and Security Enhancement in Japan

Japan is another Asian country leading in the AI in video surveillance market. The Japanese market is anticipated to register a CAGR of 25.0% through 2034.

Japanese companies are actively developing AI algorithms and video analytics solutions for public safety, transportation, and critical infrastructure monitoring applications.
The Japanese government's focus on leveraging AI for disaster management and response further fuels the adoption of advanced video surveillance technologies.
With a strong emphasis on research and development, Japan plays a significant role in shaping the future of AI-powered video surveillance in the Asia-Pacific region.

Chinese Government's Support For Smart City Projects And Public Security Initiatives

China is another Asian country in the global AI in video surveillance market, which is anticipated to register a CAGR of 24.4% through 2034.

Chinese companies lead in developing AI algorithms and surveillance hardware, focusing on facial recognition and behavior analysis.
The Chinese government's support for smart city projects and public security initiatives has resulted in the deployment of AI in video surveillance on a massive scale.
China's integration of AI technologies into public spaces, transportation, and law enforcement reflects its commitment to using AI for comprehensive surveillance solutions.

The United Kingdom’s Cutting-edge Technologies to Address Security Challenges

The United Kingdom is a European country leading the AI in video surveillance market. Its market is predicted to register an annual growth rate of 24.1%.

The UK's government and private sectors invest in AI solutions to improve public safety, monitor critical infrastructure, and enhance overall security measures.
The country's focus on smart city initiatives further drives the adoption of AI in video surveillance for urban planning and law enforcement.
With a well-established surveillance infrastructure and a commitment to technological advancements, the UK plays a significant role in shaping Europe's AI-driven video surveillance market.

Growing Emphasis on National Security in the United States Driving Market Growth

The United States dominates the AI in video surveillance market in the North American region. It is expected to exhibit an annual growth rate of 23.8% until 2034.

Leading tech companies in the United States are at the forefront of developing advanced AI algorithms and hardware solutions for video analytics.
Government agencies, law enforcement, and private enterprises are all increasingly adopting AI-powered video surveillance for enhanced threat detection and public safety.
Additionally, favorable regulatory environments and a proactive approach to integrating AI technologies into security infrastructure contribute to the market's expansion.

Competitive Landscape

The global AI in video surveillance market is highly fragmented, with key players such as Hangzhou Hikvision Digital Technology Co., Ltd. (China), Dahua Technology Co., Ltd. (China), Avigilon Corporation (Canada), Milestone Systems A/S (Denmark), YITU Tech (China), SenseTime (China), Agent Video Intelligence Ltd. (United States), etc.

Hikvision, a Chinese company, has become a global video surveillance and AI technologies leader. Its expertise lies in developing AI-powered cameras, video analytics software, and integrated solutions that offer real-time threat detection, facial recognition, and behavior analysis.

NVIDIA Corporation, a leading American technology company, has contributed to the market's growth through its graphics processing units (GPUs) and AI hardware solutions. The company's platforms, such as NVIDIA Metropolis, provide a foundation for building AI-powered video analytics applications that enable efficient processing and analysis of vast amounts of video data.

Recent Developments

On January 22, 2023, Atul Rai, CEO of Staqu Technologies, revealed that their AI-powered JARVIS platform had been installed in cameras surrounding Ayodhya Ram Mandir, enhancing security through innovative surveillance.
On November 21, 2023, I-PRO unveiled the X Series technology, elevating video surveillance with advanced analytics. The AI-enabled cameras offered a cost-effective solution, revolutionizing deployments for enhanced capabilities.
On June 2, 2023, ABI Research reported that recent AI and edge computing advancements energized the commercial video surveillance market. These technologies propelled the global installed base of video surveillance cameras to 1.2 billion by 2030.

Key Companies in the Market

Hangzhou Hikvision Digital Technology Co., Ltd. (China)
Dahua Technology Co., Ltd. (China)
Avigilon Corporation (Canada)
Milestone Systems A/S (Denmark)
YITU Tech (China)
SenseTime (China)
Agent Video Intelligence Ltd. (United States)

Market Segmentation

By Offering:

Hardware
Software
Services

By Deployment Mode:

On-premises
Cloud-based

By Use Cases:

Gun Detection
Industrial Temperature Monitoring
Anomaly detection and Behavior Recognition
Facial recognition/Person search
Object detection and tracking
Intrusion detection and perimeter protection
Smoke and Fire Detection
Traffic Flow Analysis/ Accident and Traffic Incident
Detection
False alarm filtering
Parking Monitoring
Vehicle Identification and Numberplate Recognition

By Vertical:

Commercial
Residential
Infrastructure
Military & Defense
Public Facility
Industrial

By Region:

Asia Pacific
Europe
North America
Middle East & Africa
Latin America

Frequently Asked Questions

How Big is the AI in Video Surveillance Market?

The AI in video surveillance market is expected to be worth US$ 5.7 billion in 2024.

What is the Sales Forecast for the AI in Video Surveillance Market by 2034?

The market is expected to reach US$ 47.0 billion by 2034.

At What Rate is the AI in Video Surveillance Market Growing through 2034?

The AI in video surveillance market is expected to grow at a CAGR of 23.6% from 2024 to 2034.

Which are the Key Companies in the AI in Video Surveillance Market?

Some key players in the market are Hangzhou Hikvision Digital Technology Co., Ltd., Dahua Technology Co., Ltd., Avigilon Corporation, Milestone Systems A/S, YITU Tech, SenseTime, Agent Video Intelligence Ltd., etc.

Which is the Top Segment in the AI in Video Surveillance Market?

The hardware segment is expected to lead the market, expanding at a 23.4% CAGR over the forecast period.

Table of Content

1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034
4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023
4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Offering
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Offering, 2019 to 2023
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Offering, 2024 to 2034
5.3.1. Hardware
5.3.2. Software
5.3.3. Service
5.4. Y-o-Y Growth Trend Analysis By Offering, 2019 to 2023
5.5. Absolute $ Opportunity Analysis By Offering, 2024 to 2034
6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Deployment Mode
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Mode, 2019 to 2023
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Mode, 2024 to 2034
6.3.1. On-Premises
6.3.2. Cloud-Based
6.4. Y-o-Y Growth Trend Analysis By Deployment Mode, 2019 to 2023
6.5. Absolute $ Opportunity Analysis By Deployment Mode, 2024 to 2034
7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Use Cases
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Use Cases , 2019 to 2023
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Use Cases , 2024 to 2034
7.3.1. Gun Detection
7.3.2. Industrial Temperature Monitoring
7.3.3. Anomaly detection and Behaviour Recognition
7.3.4. Facial Recognition/Person Search
7.3.5. Object Detection and Tracking
7.3.6. Intrusion Detection and Perimeter Protection
7.3.7. Smoke and Fire Detection
7.3.8. Traffic Flow Analysis/ Accident and Traffic Incident
7.3.9. Detection
7.3.10. False alarm filtering
7.3.11. Parking Monitoring
7.3.12. Vehicle Identification and Number plate Recognition
7.4. Y-o-Y Growth Trend Analysis By Use Cases , 2019 to 2023
7.5. Absolute $ Opportunity Analysis By Use Cases , 2024 to 2034
8. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Vertical
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Vertical, 2019 to 2023
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Vertical, 2024 to 2034
8.3.1. Commercial
8.3.2. Residential
8.3.3. Infrastructure
8.3.4. Military & Defense
8.3.5. Public Facility
8.3.6. Industrial
8.4. Y-o-Y Growth Trend Analysis By Vertical, 2019 to 2023
8.5. Absolute $ Opportunity Analysis By Vertical, 2024 to 2034
9. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034
9.3.1. North America
9.3.2. Latin America
9.3.3. Western Europe
9.3.4. Eastern Europe
9.3.5. South Asia and Pacific
9.3.6. East Asia
9.3.7. Middle East and Africa
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
10.2.1. By Country
10.2.1.1. USA
10.2.1.2. Canada
10.2.2. By Offering
10.2.3. By Deployment Mode
10.2.4. By Use Cases
10.2.5. By Vertical
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Offering
10.3.3. By Deployment Mode
10.3.4. By Use Cases
10.3.5. By Vertical
10.4. Key Takeaways
11. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Offering
11.2.3. By Deployment Mode
11.2.4. By Use Cases
11.2.5. By Vertical
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Offering
11.3.3. By Deployment Mode
11.3.4. By Use Cases
11.3.5. By Vertical
11.4. Key Takeaways
12. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. UK
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Western Europe
12.2.2. By Offering
12.2.3. By Deployment Mode
12.2.4. By Use Cases
12.2.5. By Vertical
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Offering
12.3.3. By Deployment Mode
12.3.4. By Use Cases
12.3.5. By Vertical
12.4. Key Takeaways
13. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
13.2.1. By Country
13.2.1.1. Poland
13.2.1.2. Russia
13.2.1.3. Czech Republic
13.2.1.4. Romania
13.2.1.5. Rest of Eastern Europe
13.2.2. By Offering
13.2.3. By Deployment Mode
13.2.4. By Use Cases
13.2.5. By Vertical
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Offering
13.3.3. By Deployment Mode
13.3.4. By Use Cases
13.3.5. By Vertical
13.4. Key Takeaways
14. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
14.2.1. By Country
14.2.1.1. India
14.2.1.2. Bangladesh
14.2.1.3. Australia
14.2.1.4. New Zealand
14.2.1.5. Rest of South Asia and Pacific
14.2.2. By Offering
14.2.3. By Deployment Mode
14.2.4. By Use Cases
14.2.5. By Vertical
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Offering
14.3.3. By Deployment Mode
14.3.4. By Use Cases
14.3.5. By Vertical
14.4. Key Takeaways
15. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
15.2.1. By Country
15.2.1.1. China
15.2.1.2. Japan
15.2.1.3. South Korea
15.2.2. By Offering
15.2.3. By Deployment Mode
15.2.4. By Use Cases
15.2.5. By Vertical
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Offering
15.3.3. By Deployment Mode
15.3.4. By Use Cases
15.3.5. By Vertical
15.4. Key Takeaways
16. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
16.2.1. By Country
16.2.1.1. GCC Countries
16.2.1.2. South Africa
16.2.1.3. Israel
16.2.1.4. Rest of MEA
16.2.2. By Offering
16.2.3. By Deployment Mode
16.2.4. By Use Cases
16.2.5. By Vertical
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Offering
16.3.3. By Deployment Mode
16.3.4. By Use Cases
16.3.5. By Vertical
16.4. Key Takeaways
17. Key Countries Market Analysis
17.1. USA
17.1.1. Pricing Analysis
17.1.2. Market Share Analysis, 2023
17.1.2.1. By Offering
17.1.2.2. By Deployment Mode
17.1.2.3. By Use Cases
17.1.2.4. By Vertical
17.2. Canada
17.2.1. Pricing Analysis
17.2.2. Market Share Analysis, 2023
17.2.2.1. By Offering
17.2.2.2. By Deployment Mode
17.2.2.3. By Use Cases
17.2.2.4. By Vertical
17.3. Brazil
17.3.1. Pricing Analysis
17.3.2. Market Share Analysis, 2023
17.3.2.1. By Offering
17.3.2.2. By Deployment Mode
17.3.2.3. By Use Cases
17.3.2.4. By Vertical
17.4. Mexico
17.4.1. Pricing Analysis
17.4.2. Market Share Analysis, 2023
17.4.2.1. By Offering
17.4.2.2. By Deployment Mode
17.4.2.3. By Use Cases
17.4.2.4. By Vertical
17.5. Germany
17.5.1. Pricing Analysis
17.5.2. Market Share Analysis, 2023
17.5.2.1. By Offering
17.5.2.2. By Deployment Mode
17.5.2.3. By Use Cases
17.5.2.4. By Vertical
17.6. UK
17.6.1. Pricing Analysis
17.6.2. Market Share Analysis, 2023
17.6.2.1. By Offering
17.6.2.2. By Deployment Mode
17.6.2.3. By Use Cases
17.6.2.4. By Vertical
17.7. France
17.7.1. Pricing Analysis
17.7.2. Market Share Analysis, 2023
17.7.2.1. By Offering
17.7.2.2. By Deployment Mode
17.7.2.3. By Use Cases
17.7.2.4. By Vertical
17.8. Spain
17.8.1. Pricing Analysis
17.8.2. Market Share Analysis, 2023
17.8.2.1. By Offering
17.8.2.2. By Deployment Mode
17.8.2.3. By Use Cases
17.8.2.4. By Vertical
17.9. Italy
17.9.1. Pricing Analysis
17.9.2. Market Share Analysis, 2023
17.9.2.1. By Offering
17.9.2.2. By Deployment Mode
17.9.2.3. By Use Cases
17.9.2.4. By Vertical
17.10. Poland
17.10.1. Pricing Analysis
17.10.2. Market Share Analysis, 2023
17.10.2.1. By Offering
17.10.2.2. By Deployment Mode
17.10.2.3. By Use Cases
17.10.2.4. By Vertical
17.11. Russia
17.11.1. Pricing Analysis
17.11.2. Market Share Analysis, 2023
17.11.2.1. By Offering
17.11.2.2. By Deployment Mode
17.11.2.3. By Use Cases
17.11.2.4. By Vertical
17.12. Czech Republic
17.12.1. Pricing Analysis
17.12.2. Market Share Analysis, 2023
17.12.2.1. By Offering
17.12.2.2. By Deployment Mode
17.12.2.3. By Use Cases
17.12.2.4. By Vertical
17.13. Romania
17.13.1. Pricing Analysis
17.13.2. Market Share Analysis, 2023
17.13.2.1. By Offering
17.13.2.2. By Deployment Mode
17.13.2.3. By Use Cases
17.13.2.4. By Vertical
17.14. India
17.14.1. Pricing Analysis
17.14.2. Market Share Analysis, 2023
17.14.2.1. By Offering
17.14.2.2. By Deployment Mode
17.14.2.3. By Use Cases
17.14.2.4. By Vertical
17.15. Bangladesh
17.15.1. Pricing Analysis
17.15.2. Market Share Analysis, 2023
17.15.2.1. By Offering
17.15.2.2. By Deployment Mode
17.15.2.3. By Use Cases
17.15.2.4. By Vertical
17.16. Australia
17.16.1. Pricing Analysis
17.16.2. Market Share Analysis, 2023
17.16.2.1. By Offering
17.16.2.2. By Deployment Mode
17.16.2.3. By Use Cases
17.16.2.4. By Vertical
17.17. New Zealand
17.17.1. Pricing Analysis
17.17.2. Market Share Analysis, 2023
17.17.2.1. By Offering
17.17.2.2. By Deployment Mode
17.17.2.3. By Use Cases
17.17.2.4. By Vertical
17.18. China
17.18.1. Pricing Analysis
17.18.2. Market Share Analysis, 2023
17.18.2.1. By Offering
17.18.2.2. By Deployment Mode
17.18.2.3. By Use Cases
17.18.2.4. By Vertical
17.19. Japan
17.19.1. Pricing Analysis
17.19.2. Market Share Analysis, 2023
17.19.2.1. By Offering
17.19.2.2. By Deployment Mode
17.19.2.3. By Use Cases
17.19.2.4. By Vertical
17.20. South Korea
17.20.1. Pricing Analysis
17.20.2. Market Share Analysis, 2023
17.20.2.1. By Offering
17.20.2.2. By Deployment Mode
17.20.2.3. By Use Cases
17.20.2.4. By Vertical
17.21. GCC Countries
17.21.1. Pricing Analysis
17.21.2. Market Share Analysis, 2023
17.21.2.1. By Offering
17.21.2.2. By Deployment Mode
17.21.2.3. By Use Cases
17.21.2.4. By Vertical
17.22. South Africa
17.22.1. Pricing Analysis
17.22.2. Market Share Analysis, 2023
17.22.2.1. By Offering
17.22.2.2. By Deployment Mode
17.22.2.3. By Use Cases
17.22.2.4. By Vertical
17.23. Israel
17.23.1. Pricing Analysis
17.23.2. Market Share Analysis, 2023
17.23.2.1. By Offering
17.23.2.2. By Deployment Mode
17.23.2.3. By Use Cases
17.23.2.4. By Vertical
18. Market Structure Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Market Share Analysis of Top Players
18.3.1. By Regional
18.3.2. By Offering
18.3.3. By Deployment Mode
18.3.4. By Use Cases
18.3.5. By Vertical
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. Agent Video Intelligence Ltd.
19.1.1.1. Overview
19.1.1.2. Product Portfolio
19.1.1.3. Profitability by Market Segments
19.1.1.4. Sales Footprint
19.1.1.5. Strategy Overview
19.1.1.5.1. Marketing Strategy
19.1.2. Avigilon Corporation (Motorola Solutions Inc.)
19.1.2.1. Overview
19.1.2.2. Product Portfolio
19.1.2.3. Profitability by Market Segments
19.1.2.4. Sales Footprint
19.1.2.5. Strategy Overview
19.1.2.5.1. Marketing Strategy
19.1.3. Axis Communications Ab
19.1.3.1. Overview
19.1.3.2. Product Portfolio
19.1.3.3. Profitability by Market Segments
19.1.3.4. Sales Footprint
19.1.3.5. Strategy Overview
19.1.3.5.1. Marketing Strategy
19.1.4. Bosch Sicherheitssysteme GmbH
19.1.4.1. Overview
19.1.4.2. Product Portfolio
19.1.4.3. Profitability by Market Segments
19.1.4.4. Sales Footprint
19.1.4.5. Strategy Overview
19.1.4.5.1. Marketing Strategy
19.1.5. Briefcam
19.1.5.1. Overview
19.1.5.2. Product Portfolio
19.1.5.3. Profitability by Market Segments
19.1.5.4. Sales Footprint
19.1.5.5. Strategy Overview
19.1.5.5.1. Marketing Strategy
19.1.6. Camcloud
19.1.6.1. Overview
19.1.6.2. Product Portfolio
19.1.6.3. Profitability by Market Segments
19.1.6.4. Sales Footprint
19.1.6.5. Strategy Overview
19.1.6.5.1. Marketing Strategy
19.1.7. Cloudwalk Technology Co., Ltd.
19.1.7.1. Overview
19.1.7.2. Product Portfolio
19.1.7.3. Profitability by Market Segments
19.1.7.4. Sales Footprint
19.1.7.5. Strategy Overview
19.1.7.5.1. Marketing Strategy
19.1.8. Corsight AI
19.1.8.1. Overview
19.1.8.2. Product Portfolio
19.1.8.3. Profitability by Market Segments
19.1.8.4. Sales Footprint
19.1.8.5. Strategy Overview
19.1.8.5.1. Marketing Strategy
19.1.9. Genetec Inc.
19.1.9.1. Overview
19.1.9.2. Product Portfolio
19.1.9.3. Profitability by Market Segments
19.1.9.4. Sales Footprint
19.1.9.5. Strategy Overview
19.1.9.5.1. Marketing Strategy
19.1.10. Hangzhou Hikvision Digital Technology Co., Ltd.
19.1.10.1. Overview
19.1.10.2. Product Portfolio
19.1.10.3. Profitability by Market Segments
19.1.10.4. Sales Footprint
19.1.10.5. Strategy Overview
19.1.10.5.1. Marketing Strategy
19.1.11. Hanwha Vision Co., Ltd.
19.1.11.1. Overview
19.1.11.2. Product Portfolio
19.1.11.3. Profitability by Market Segments
19.1.11.4. Sales Footprint
19.1.11.5. Strategy Overview
19.1.11.5.1. Marketing Strategy
19.1.12. Honeywell International Inc.
19.1.12.1. Overview
19.1.12.2. Product Portfolio
19.1.12.3. Profitability by Market Segments
19.1.12.4. Sales Footprint
19.1.12.5. Strategy Overview
19.1.12.5.1. Marketing Strategy
19.1.13. Huawei Technologies Co., Ltd.
19.1.13.1. Overview
19.1.13.2. Product Portfolio
19.1.13.3. Profitability by Market Segments
19.1.13.4. Sales Footprint
19.1.13.5. Strategy Overview
19.1.13.5.1. Marketing Strategy
19.1.14. Intellivix Co., Ltd.
19.1.14.1. Overview
19.1.14.2. Product Portfolio
19.1.14.3. Profitability by Market Segments
19.1.14.4. Sales Footprint
19.1.14.5. Strategy Overview
19.1.14.5.1. Marketing Strategy
19.1.15. Ipsotek Ltd.
19.1.15.1. Overview
19.1.15.2. Product Portfolio
19.1.15.3. Profitability by Market Segments
19.1.15.4. Sales Footprint
19.1.15.5. Strategy Overview
19.1.15.5.1. Marketing Strategy
19.1.16. Ivideon
19.1.16.1. Overview
19.1.16.2. Product Portfolio
19.1.16.3. Profitability by Market Segments
19.1.16.4. Sales Footprint
19.1.16.5. Strategy Overview
19.1.16.5.1. Marketing Strategy
19.1.17. Megvii (Beijing) Technology Co., Ltd.
19.1.17.1. Overview
19.1.17.2. Product Portfolio
19.1.17.3. Profitability by Market Segments
19.1.17.4. Sales Footprint
19.1.17.5. Strategy Overview
19.1.17.5.1. Marketing Strategy
19.1.18. Milestone Systems A/S
19.1.18.1. Overview
19.1.18.2. Product Portfolio
19.1.18.3. Profitability by Market Segments
19.1.18.4. Sales Footprint
19.1.18.5. Strategy Overview
19.1.18.5.1. Marketing Strategy
20. Assumptions & Acronyms Used
21. Research Methodology

AI in Video Surveillance Market

AI in Video Surveillance Market Forecast by Hardware and Software for 2024 to 2034