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Security Camera Market to Grow by USD 3.85 Billion from 2025-2029, Boosted by Video Analytics for Surveillance and AI-Powered Market Evolution – Technavio

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NEW YORK, Jan. 13, 2025 /PRNewswire/ — Report on how AI is driving market transformation – The global security camera market size is estimated to grow by USD 3.85 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of 12.1% during the forecast period. Growth of video analytics helpful for surveillance video analyses is driving market growth, with a trend towards growing adoption of iot and smart homes. However, challenges regarding privacy and data loss poses a challenge. Key market players include ADT Inc., Amazon.com Inc., Canon Inc., Cisco Systems Inc., Costar Technologies Inc., Dahua Technology Co. Ltd., Hangzhou Hikvision Digital Technology Co. Ltd., Hanwha Techwin America, Honeywell International Inc., Johnson Controls International Plc, JVCKENWOOD Corp., Motorola Solutions Inc., Panasonic Holdings Corp., Robert Bosch GmbH, Schneider Electric SE, Simplisafe Inc., Sony Group Corp., Teledyne Technologies Inc., Vicon Industries Inc., and Xiaomi Inc..

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Forecast period

2025-2029

Base Year

2024

Historic Data

2019 – 2023

Segment Covered

Technology (Analog and IP based), Product Type (HD and full-HD and Non-HD), and Geography (North America, APAC, Europe, South America, and Middle East and Africa)

Region Covered

North America, APAC, Europe, South America, and Middle East and Africa

Key companies profiled

ADT Inc., Amazon.com Inc., Canon Inc., Cisco Systems Inc., Costar Technologies Inc., Dahua Technology Co. Ltd., Hangzhou Hikvision Digital Technology Co. Ltd., Hanwha Techwin America, Honeywell International Inc., Johnson Controls International Plc, JVCKENWOOD Corp., Motorola Solutions Inc., Panasonic Holdings Corp., Robert Bosch GmbH, Schneider Electric SE, Simplisafe Inc., Sony Group Corp., Teledyne Technologies Inc., Vicon Industries Inc., and Xiaomi Inc.

Key Market Trends Fueling Growth

The security camera market is experiencing significant growth due to increasing operational needs for safety and crime prevention. Traditional security cameras are being replaced by smart security solutions, including AI-powered appliances and IP cameras with high-definition and infrared capabilities. Innovations like facial recognition, motion detection, and anomaly detection are driving consumer interest. Cost-effective options, such as box cameras and dome cameras, offer ease of installation and scalability. Strategic partnerships and promotions are making advanced security solutions more accessible to homeowners and businesses. With the rise of the Internet of Things, cloud-based video surveillance and mobile surveillance systems are becoming essential for both home and commercial security. Despite investment costs, the benefits of AI-driven analytics, incident response times, and thermal imaging outweigh the risks of misuse and privacy concerns. Security camera systems are essential for crime prevention, border security, and critical infrastructure protection, making them a worthwhile investment for private properties and public spaces. 

The Security Camera market is experiencing significant growth due to the increasing adoption of Internet of Things (IoT) devices, specifically smart cameras, for residential security. These advanced cameras come equipped with video analytics and recognition capabilities, enabling them to monitor and identify family members, pets, and objects. Consumers can record and view security events in real-time via their smartphones. Additionally, vendors offer smart doorbells and peepholes, replacing traditional models with cameras that detect people entering or exiting homes and monitor objects outside. Indoor smart cameras can also be used to monitor pets or babies from a distance. 

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Market Challenges

The security camera market is witnessing significant growth due to the increasing operational needs for safety and crime prevention in various sectors. Traditional security solutions like analog surveillance and dome cameras are being replaced by smart security cameras with advanced features like infrared, AI-powered appliances, and high-definition cameras. These innovations offer benefits such as anomaly detection, facial recognition, and two-way audio. However, challenges include investment costs, ease of installation, and privacy concerns. In high-risk areas like border security and critical infrastructure, scalable AI-driven analytics and thermal imaging are essential. Homeowners seek cost-effective, smart home technology solutions with long battery life and remote control. Strategic partnerships and promotions drive consumer interest. Despite these advancements, security risks and privacy protections remain crucial considerations. Incident response times and evidence collection are essential for investigations. Smart city development and mobile surveillance systems offer new opportunities. Overall, the market requires continuous innovation to address operational needs and consumer demands.IP-based security cameras offer valuable surveillance solutions for businesses, but they also present significant cybersecurity risks. Hackers can launch various attacks, such as DDoS, MiTM, data breaches, APTs, and ransomware, exploiting vulnerabilities in these devices. Weak passwords and mass-produced, identical cameras make them easy targets. Compromised security cameras can disrupt networks and potentially provide a gateway to larger IT infrastructure breaches. Businesses must prioritize securing their IP-based security cameras to mitigate these risks.

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Segment Overview

This security camera market report extensively covers market segmentation by

Technology 1.1 Analog1.2 IP basedProduct Type2.1 HD and full-HD2.2 Non-HDGeography 3.1 North America3.2 APAC3.3 Europe3.4 South America3.5 Middle East and Africa

1.1 Analog- Analog cameras are a cost-effective solution for businesses seeking continuous surveillance through closed-circuit television (CCTV) systems. These cameras transmit video signals over cable to video cassette recorders (VCRs) and digital video recorders (DVRs), offering resolution ranges compliant with National Television Standards Committee (NTSC) and Phase Alternating Line (PAL) standards. Resolutions range from 420 to 1080 pixels, ensuring clear images. Analog cameras can connect via coax cables, twisted-pair cables, or wireless connections. Vendors provide advanced features such as infrared light-emitting diodes (IR LEDs) for night vision, 1080 pixels analog high definition (AHD), 1080 composite video interface (CVI), and complementary metal-oxide-semiconductor (CMOS) sensors with Infrared Cutfilter Removal (ICR) for accurate color reproduction. Cameras are built with Ingress Protection rated metal, safeguarding against dust, sand, rain, and snow. VCRs and DVRs are essential for video recording, with offerings up to 50 terabytes of storage, motion-detecting push notifications, remote viewing via smartphones, tablets, and computers, advanced recording and playback options, and scheduling recording 24/7 or by motion detection. Vendors also provide customer care services and a three-year warranty. Analog cameras are commonly used in city infrastructure surveillance, ATM banking outlets, construction sites, and indoor retail environments due to their affordability and advanced features. With a lower average selling price (ASP) and technological advancements like AHD and pan-tilt-zoom (PTZ), the analog segment will continue driving growth in the global security camera market.

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Research Analysis

The Security Camera Market encompasses various segments, including video surveillance systems, CCTV, and smart home security. Accessories such as lenses, mounts, and cables enhance the functionality of these systems. Security camera technology continues to evolve, offering advanced features like analytics, remote monitoring, and cloud-based solutions. Organizations across industries rely on security cameras for benefits like deterrence, evidence collection, and improved safety. Installation and integration with business systems are crucial considerations. Security camera pricing varies based on factors like resolution, type, and advanced features. Privacy concerns and cybersecurity are essential aspects of the security camera market. Standards and regulations ensure data protection. Comparison of different security camera solutions based on their features, advantages, and ROI is vital for making informed decisions. The market’s growth is driven by increasing security concerns, technological advancements, and the integration of security systems with other business solutions. Security camera revenue is expected to continue growing as demand for advanced and cost-effective solutions increases. Innovations like AI and machine learning are transforming the market, offering improved monitoring, analytics, and cybersecurity. Maintenance and software updates are essential for ensuring optimal performance and security. Security camera manufacturers cater to various applications, from residential to industrial, providing customized solutions to meet diverse needs. The market’s trends reflect the shift towards more advanced, cost-effective, and user-friendly systems.

Market Research Overview

The security camera market is experiencing significant growth due to the increasing operational needs for safety and crime prevention in various sectors. Traditional security solutions, such as analog surveillance cameras, are being replaced by innovative smart security cameras with features like infrared technology, AI-powered appliances, and high-definition cameras. These advanced security solutions offer benefits like anomaly detection, facial recognition, and two-way audio. Investment costs for security camera systems have decreased with the advent of scalable IP cameras and the Internet of Things. Smart city development and border security are major drivers of growth, with AI-driven analytics and cloud-based video surveillance becoming essential components. Consumers, including homeowners, are showing increased interest in smart home devices and security solutions, leading to promotions and discounts. Expertise in security camera installation and maintenance is crucial for effective surveillance coverage. In high-risk areas, security cameras are used to prevent incidents like burglary, unauthorized access, and intruders. Thermal imaging and motion detection are effective surveillance tools for crime prevention. However, privacy concerns and data protection laws necessitate privacy protections and data redundancy. Security risks and misuse are potential challenges, requiring strategic partnerships and incident response times. Scalability and cost-effectiveness are essential considerations for commercial security and mobile surveillance systems. Overall, the market for security cameras is continuously evolving with innovations like machine learning and deep learning engines.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

TechnologyAnalogIP BasedProduct TypeHD And Full-HDNon-HDGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

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SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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