The AI in Video Surveillance Market is expected to register a CAGR of 21.5% from 2025 to 2031, with a market size expanding from US$ XX million in 2024 to US$ XX Million by 2031.
The report is segmented by Offering (Hardware, Software, and Service), Deployment Mode (On-premises and Cloud), Use Cases (Weapon Detection, Facial Recognition, Intrusion Detection, Smoke & Fire Detection, Traffic Flow Analysis, Parking Monitoring, Vehicle Identification, Others); End Users (Commercial, Residential, Industrial); Geography (North America, Europe, Asia-Pacific, Middle East & Africa, South and Central America).
The global analysis is further broken-down at regional level and major countries. The report offers the value in USD for the above analysis and segments
The report AI in Video Surveillance Market by The Insight Partners aims to describe the present landscape and future growth, top driving factors, challenges, and opportunities. This will provide insights to various business stakeholders, such as:
- Technology Providers/Manufacturers: To understand the evolving market dynamics and know the potential growth opportunities, enabling them to make informed strategic decisions.
- Investors: To conduct a comprehensive trend analysis regarding the market growth rate, market financial projections, and opportunities that exist across the value chain.
- Regulatory bodies: To regulate policies and police activities in the market with the aim of minimizing abuse, preserving investor trust and confidence, and upholding the integrity and stability of the market.
AI in Video Surveillance Market Segmentation
Offering- Hardware
- Software
- Service
- On-premises and Cloud
- Weapon Detection
- Facial Recognition
- Intrusion Detection
- Smoke & Fire Detection
- Traffic Flow Analysis
- Parking Monitoring
- Vehicle Identification
- Commercial
- Residential
- Industrial
Strategic Insights
AI in Video Surveillance Market Growth Drivers- Increased Security Needs: The surge in crime rates, terrorist activities, and overall public safety concerns has led to a substantial demand for advanced video surveillance systems. Organizations across various sectors are looking to implement AI-powered solutions that provide enhanced security measures. These systems enable real-time threat detection, identifying suspicious behaviors and alerting security personnel immediately. The growing awareness of safety among consumers and businesses alike drives investments in sophisticated surveillance technologies, helping to protect individuals and assets while ensuring a safer environment.
- Growing Technological Advancements: Rapid advancements in AI technologies, particularly in machine learning and computer vision, have transformed the video surveillance landscape. These innovations allow surveillance systems to analyze video feeds in real time, improving accuracy in identifying potential threats and anomalies. AI algorithms can learn from previous incidents and adapt to new situations, reducing false positives and enhancing overall security efficacy. As these technologies continue to evolve, they empower organizations to implement smarter surveillance solutions that optimize their security operations, making them more efficient and effective.
- Regulatory Compliance: With increasing regulatory requirements related to safety and data protection, organizations are compelled to adopt advanced surveillance systems that ensure compliance. Many industries face stringent guidelines regarding monitoring and reporting, particularly in sectors like finance, healthcare, and public safety. AI-driven video surveillance solutions offer comprehensive features that assist organizations in adhering to these regulations by providing accurate monitoring capabilities, data management, and detailed reporting. By leveraging AI technology, businesses can not only meet compliance standards but also enhance their security posture and reduce liability risks.
- Integration of AI and IoT: The convergence of Artificial Intelligence (AI) with the Internet of Things (IoT) is a prominent trend in the video surveillance market. This integration enables smart cameras and connected devices to work together, facilitating real-time data sharing and analysis. As a result, organizations can achieve enhanced situational awareness and improved responsiveness in security operations. IoT-enabled surveillance systems can gather data from multiple sources, allowing AI algorithms to analyze patterns and identify potential threats more effectively. This trend is driving the development of more interconnected and intelligent security solutions that adapt to evolving security landscapes.
- Adoption of Edge Computing: The adoption of edge computing in video surveillance systems is on the rise, allowing data processing to occur closer to the source rather than relying solely on cloud solutions. This trend minimizes latency and reduces bandwidth usage, enabling faster decision-making and real-time analytics. By processing video data on-site, organizations can ensure quicker responses to potential threats, enhancing overall security effectiveness. Additionally, edge computing helps alleviate concerns related to data privacy and security by minimizing the amount of sensitive data transmitted over networks, making it a crucial advancement in the evolution of surveillance technologies.
- Customized Solutions for Various Industries: Different sectors, such as retail, healthcare, transportation, and education, have unique surveillance needs. This presents an opportunity for companies to develop tailored AI solutions that address specific challenges faced by these industries. For instance, retail businesses may require systems that analyze customer behavior and optimize store layouts, while healthcare facilities need solutions to monitor patient safety and compliance. By focusing on industry-specific requirements, organizations can create targeted offerings that enhance security, improve operational efficiency, and provide valuable insights, ultimately driving growth in the AI video surveillance market.
- Advanced Analytics Capabilities: The growing demand for advanced analytics in video surveillance systems presents significant opportunities for AI solution providers. Organizations are increasingly looking to leverage AI technologies to extract actionable insights from video data, enabling better decision-making and proactive security measures. By incorporating advanced analytics capabilities, such as behavior recognition and pattern analysis, surveillance systems can identify potential threats and suspicious activities more effectively. This not only enhances security but also helps organizations optimize their operations and resource allocation, creating a competitive advantage in the evolving surveillance landscape.
Market Report Scope
Key Selling Points
- Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the AI in Video Surveillance Market, providing a holistic landscape.
- Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
- Up-to-date Information: The report assures business relevance due to its coverage of recent information and data trends.
- Customization Options: This report can be customized to cater to specific client requirements and suit the business strategies aptly.
The research report on the AI in Video Surveillance Market can, therefore, help spearhead the trail of decoding and understanding the industry scenario and growth prospects. Although there can be a few valid concerns, the overall benefits of this report tend to outweigh the disadvantages.
REGIONAL FRAMEWORK
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- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
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Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
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to country scope.
Frequently Asked Questions
Some of the customization options available based on the request are an additional 3–5 company profiles and country-specific analysis of 3–5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation# as our team would review the same and check the feasibility
The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request
Integration of AI and IoT and Adoption of Edge Computing are anticipated to play a significant role in the global AI in Video Surveillance Market in the coming years
Increased Security Needs, Growing Technological Advancements, and Regulatory Compliance are the major factors driving the AI in Video Surveillance Market
The global AI in Video Surveillance Market is expected to grow at a CAGR of 21.5% during the forecast period 2024 - 2031
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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