Singapore AI CCTV Market by Component (Hardware and Software), by Camera Type (Dome Cameras, Bullet Cameras, and Box Cameras), by Technology (Facial Detection and Recognition, Emotion Recognition, Object Detection and Recognition, and Other Technologies), by Deployment (Cloud-Based and On-Premise), and End User (Commercial, Residential, and Industrial)–Opportunity Analysis and Industry Forecast, 2024–2030.
Industry: ICT & Media | Publish Date: 03-Oct-2025 | No of Pages: 111 | No. of Tables: 79 | No. of Figures: 44 | Format: PDF | Report Code : IC1984
Market Overview
Singapore AI CCTV Market size was valued at USD 421.7 million in 2023 and is predicted to reach USD 2133.0 million by 2030, with a CAGR of 24.1% from 2024 to 2030.
The AI CCTV market constitutes a segment within the global security and surveillance industry, concentrating on incorporating artificial intelligence (AI) technologies into Closed-Circuit Television (CCTV) systems. These AI-driven CCTV systems utilize sophisticated algorithms and computer vision to augment video analysis capabilities, facilitating real-time detection, identification, and response to diverse events and anomalies.
Beyond conventional surveillance, these systems introduce intelligent features such as facial recognition, object tracking, and behavior analysis. The growth of the AI CCTV market is substantial, fueled by heightened demand for advanced security solutions in commercial, industrial, and public settings. The market encompasses a variety of products and services, including AI-powered cameras, video analytics software, and integrated security systems.
National Smart Nation Strategy Accelerates Ai-cctv Deployment
Singapore’s Smart Nation initiative is a major catalyst for AI-CCTV adoption, integrating intelligent surveillance into the broader digital transformation of public infrastructure. City-wide projects are deploying high-resolution AI-enabled cameras at transport nodes, public parks, and government buildings to deliver real-time situational awareness. These systems are equipped with advanced analytics such as facial recognition, license plate recognition, and behavior detection, allowing authorities to prevent incidents rather than merely respond to them.
The government’s commitment to using data-driven decision-making is driving funding for AI-powered video management systems (VMS) and unified command centers. As more agencies adopt predictive analytics dashboards, demand is growing for scalable, interoperable CCTV networks that can integrate seamlessly with traffic, law enforcement, and emergency response systems—solidifying AI-CCTV as a core element of Singapore’s urban governance framework.
Rising Security Demands In Commercial & Industrial Sectors
Beyond public infrastructure, private enterprises in sectors like logistics, banking, manufacturing, and retail are rapidly deploying AI-powered CCTV to protect assets and ensure operational safety. High-value facilities are installing intelligent cameras capable of automated threat detection—such as intrusion alerts, perimeter breaches, and abandoned object recognition—to minimize security risks.
Additionally, the adoption of AI video analytics is helping companies comply with strict workplace safety and regulatory requirements by monitoring compliance zones, detecting PPE usage, and identifying unsafe behaviors in real time. This growing corporate investment is expanding the AI-CCTV customer base, boosting sales of edge-AI cameras, cloud storage solutions, and integrated analytics platforms across Singapore.
High Implementation Costs And Data-privacy Compliance Challenges
Despite strong adoption trends, the high cost of deploying AI-CCTV infrastructure remains a major restraint for smaller organizations and residential projects. Full-scale implementation requires not only advanced cameras but also robust networking, edge computing, and secure data storage infrastructure—driving up capital expenditure.
Moreover, compliance with Singapore’s Personal Data Protection Act (PDPA) imposes additional complexity on deployment. Organizations must implement strict access controls, anonymization protocols, and secure data handling procedures to avoid regulatory penalties. These privacy compliance measures add to overall project costs and can delay large-scale rollouts, particularly for smaller municipalities and private operators with limited budgets.
Ai-powered Video Analytics Integration With Cloud & Edge Ecosystems
The convergence of AI-based video analytics with cloud computing and edge-IoT infrastructure is opening lucrative opportunities in Singapore’s surveillance market. Edge-enabled cameras now process data locally, transmitting only actionable insights to centralized systems—reducing bandwidth needs and enabling faster response times.
This architecture is particularly valuable for remote industrial zones, transport corridors, and maritime facilities where real-time connectivity can be limited. The ability to scale surveillance networks without overburdening central data centers is attracting investment from both public authorities and private enterprises, creating a pathway for vendors to offer subscription-based, AI-as-a-service solutions tailored for smart city and enterprise applications.
Competitive Landscape
Singapore AI CCTV market comprises various market players, such as Hangzhou Hikvision Digital Technology Co., Ltd., Zhejiang Dahua Technology Co., Ltd., Hanwha Vision Co., Ltd., Axis Communications AB, Bosch Building Technologies, Avigilon (a Motorola Solutions company), I-PRO Co., Ltd, Sony Electronics Singapore, Honeywell Building Technologies, Uniview (Zhejiang Uniview Technologies Co., Ltd.), IDIS Co., Ltd., VIVOTEK Inc., Teledyne / FLIR, Tiandy Technologies, Arlo Technologies, Inc., and others. These market players are adopting various strategies such as collaboration and product launches across various regions to maintain their dominance in the AI CCTV market.
Singapore AI CCTV Market Key Market Segments
By Component
-
Hardware
-
Cameras
-
Storage Devices
-
Others
-
-
Software
-
Video Analytics Software
-
Video Management Software
-
By Camera Type
-
Dome Cameras
-
Bullet Cameras
-
Box Cameras
By Technology
-
Facial Detection and Recognition
-
Emotion Recognition
-
Object Detection and Recognition
-
Other Technologies
By Deployment
-
Cloud-Based
-
On-Premise
By End User
-
Commercial
-
Residential
-
Industrial
KEY PLAYERS
-
Hangzhou Hikvision Digital Technology Co., Ltd.
-
Zhejiang Dahua Technology Co., Ltd.
-
Hanwha Vision Co., Ltd.
-
Axis Communications AB
-
Bosch Building Technologies
-
Avigilon (a Motorola Solutions company)
-
I-PRO Co., Ltd
-
Sony Electronics Singapore
-
Honeywell Building Technologies
-
Uniview (Zhejiang Uniview Technologies Co., Ltd.)
-
IDIS Co., Ltd.
-
VIVOTEK Inc.
-
Teledyne / FLIR
-
Tiandy Technologies
-
Arlo Technologies, Inc.
REPORT SCOPE AND SEGMENTATION:
|
Parameters |
Details |
|
Market Size in 2023 |
USD 421.7 Million |
|
Revenue Forecast in 2030 |
USD 2133.0 Million |
|
Growth Rate |
CAGR of 24.1% from 2024 to 2030 |
|
Analysis Period |
2023–2030 |
|
Base Year Considered |
2023 |
|
Forecast Period |
2024–2030 |
|
Market Size Estimation |
Million (USD) |
|
Growth Factors |
|
|
Companies Profiled |
15 |
|
Market Share |
Available for 10 companies |
|
Customization Scope |
Free customization (equivalent up to 80 working hours of analysts) after purchase. Addition or alteration to country, regional, and segment scope. |
|
Pricing and Purchase Options |
Avail customized purchase options to meet your exact research needs. |
About the Author
Jayanta Das is an industry analyst and writer with a keen focus on emerging technologies and sustainable business practices. With a background in engineering and market research, he brings analytical depth to topics like renewable energy, green manufacturing, and industrial transformation. Jayanta is passionate about translating complex data into actionable insights for businesses navigating the shift toward eco-conscious operations.
About the Reviewer
Supradip Baul is an accomplished business consultant and strategist with over a decade of rich experience in market intelligence, strategy, technology and business transformation. His work has included rigorous qualitative and quantitative analysis across multiple industries, helping clients shape investment decisions and long-term roadmaps. Earlier in his career, he was associated with Gartner, where he contributed to industry-leading reports and market share analyses. He has worked with leading global companies and holds an MBA with a dual specialization in Marketing and Finance.
At Next Move Strategy Consulting, we understand that insightful market research is the cornerstone of successful business decisions. That's why we employ a robust and multifaceted approach, combining various methodologies to deliver the most accurate and actionable data for our clients.
Research Landscape
We navigate the world of research with two primary approaches:
Qualitative Approach
Our qualitative research methodologies involve immersive techniques such as in-depth interviews, focus groups, and observational studies. By engaging directly with individuals and stakeholders, we uncover valuable insights that quantitative data alone may overlook.
Quantitative Research
In tandem with qualitative methodologies, NMSC leverages the power of Quantitative Research to provide a robust foundation of numerical insights. Through systematic data collection and analysis, we quantify patterns, preferences, and market trends, offering a comprehensive view of the business landscape.
Our quantitative research approach employs diverse tools, including surveys, experiments, and statistical modelling. These methodologies enable us to gather data from a large and representative sample, ensuring the statistical significance of our findings. By employing structured questionnaires and standardized data collection methods, we guarantee the reliability and validity of the information we present to our clients.
Quantitative research is particularly effective in measuring the prevalence of trends, assessing market size, and gauging the impact of various factors on consumer behavior. The numerical precision attained through this approach equips our clients with actionable insights, facilitating data-driven decision-making and strategy formulation.
Our Specialized Toolbox for Industry-Specific Market Research
We deploy a specialized arsenal of techniques tailored to meet your unique requirements. Here's a glimpse into our comprehensive toolbox:
Information Procurement
The stage entails acquiring market data or relevant information through various sources and methodologies.
Market Research Approach
We utilize both top-down and bottom-up approaches in market research analysis to achieve a comprehensive understanding of the market dynamics, leveraging the broad perspective of industry trends and macroeconomic factors alongside detailed insights from specific segments and individual companies.
Porters Five Forces Analysis
We conduct Porter's Five Forces analysis to evaluate the competitive landscape of an industry, providing us with insights into factors that affect profitability and strategic positioning.
SWOT Analysis
We conduct SWOT analysis to understand market trends, identify potential threats, capitalize on opportunities, and assess our strengths and weaknesses.
Forecasting
We utilize a forecasting model to predict future consumption by considering parameters like population, economics, regulations, market competition, drivers, constraints, technology, and pricing. We also employ statistical techniques such as multilinear regression, exponential smoothing, moving average, ARIMA, and Monte Carlo simulations for accurate predictions. In econometric forecasting, we analyzed short-term and long-term event impacts, attributing values based on regulatory frameworks, economic factors, and market events.
Speak to Our Analyst
