#Video Surveillance Market Size

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The driving factors influencing the global video surveillance market include increasing crime rate, the necessity of strong security infrastructure, and...

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Mobile Video Surveillance Market Size, Share, Trends & Industry Growth Analysis Report To 2029

The global mobile video surveillance market is expected to be valued at USD 2.7 billion in 2024 and is projected to reach USD 3.9 billion by 2029; it is expected to grow at a CAGR of 7.9% from 2024 to 2029 according to a new report by MarketsandMarkets™. With increasing urbanization, there is a higher demand for effective surveillance in urban areas, public transportation, and crowded spaces. Mobile video surveillance systems provide a flexible and dynamic solution to address the security challenges associated with urban environments.

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Global Home Video Surveillance Systems Market Trends and Future Outlook 2024 - 2031

The global home video surveillance systems market was valued at USD 15.4 billion in 2023, and it is projected to grow significantly, reaching USD 24.2 billion by 2024. The rising adoption of smart home technology, the integration of AI, and the increasing demand for cloud-based storage are key factors driving this growth.

Market Size and Growth

The global home video surveillance systems market has seen exponential growth due to rising concerns over safety, technological advancements, and affordable solutions. Homeowners now prioritize securing their properties with surveillance systems that offer real-time monitoring, remote access, and superior image quality.

The global home video surveillance systems market was valued at USD 53.7 billion in 2023, and it is projected to grow significantly, reaching USD 83.3 billion by 2028. The rising adoption of smart home technology, the integration of AI, and the increasing demand for cloud-based storage are key factors driving this growth.

Key Drivers of Market Growth

Increasing Security Concerns: The rise in home break-ins and burglaries has heightened demand for reliable home surveillance solutions.

Technological Advancements: New technologies like 4K cameras, AI-powered analytics, and smart home integrations are transforming video surveillance systems.

Cost-Effectiveness: The availability of affordable surveillance equipment has made it easier for homeowners to invest in these systems.

Key Players in the Market

Major players in the global home video surveillance market include:

Hikvision

Axis Communications

Honeywell International

Dahua Technology

These companies are known for offering innovative products, like IP-based cameras, wireless systems, and AI-powered video analytics, ensuring high-quality security solutions.

Future Trends and Opportunities

AI and Automation

AI-enabled systems are revolutionizing home surveillance by providing features like object detection, facial recognition, and motion alerts. These systems reduce false alarms and enhance security.

Cloud Storage Solutions

The shift toward cloud-based storage is simplifying the way video footage is stored and accessed, offering remote access and higher storage capacity without the need for physical devices.

Conclusion

The global home video surveillance systems market is poised for rapid growth, driven by increased security needs, technological innovations, and affordability. As AI and cloud solutions continue to advance, the market will offer new opportunities for both homeowners and industry players.

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Exploring Opportunities: AI in Video Surveillance Market Size, Share, and Emerging Trends

The integration of artificial intelligence (AI) into video surveillance systems has revolutionized the security industry, offering advanced capabilities that enhance monitoring, analysis, and response. This article explores the opportunities within the AI in video surveillance market, including its size, share, and emerging trends.

In recent years, the AI in video surveillance market has experienced remarkable growth, driven by the increasing demand for intelligent security solutions across various sectors such as retail, transportation, banking, and government. The market size is expected to continue expanding as organizations seek to leverage AI-powered video analytics to enhance situational awareness, improve operational efficiency, and mitigate security risks.

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Key opportunities within the AI in video surveillance market include:

Enhanced Threat Detection: AI-powered video analytics enable real-time threat detection by automatically identifying suspicious behavior, objects, or individuals within a monitored area. Advanced algorithms can detect anomalies such as unauthorized access, loitering, perimeter breaches, or unusual crowd patterns, allowing security personnel to respond promptly to potential threats.

Predictive Analytics: AI-driven predictive analytics capabilities enable proactive risk management by analyzing historical data and identifying patterns or trends that may indicate future security incidents. By leveraging machine learning algorithms, video surveillance systems can forecast potential security threats, enabling organizations to implement preventive measures and preemptively address security vulnerabilities.

Operational Intelligence: Beyond security applications, AI in video surveillance offers valuable insights for operational optimization and business intelligence. By analyzing video data, organizations can gain actionable insights into customer behavior, traffic patterns, queue management, and occupancy levels, allowing them to optimize resource allocation, improve customer experiences, and drive operational efficiency.

Emerging trends within the AI in video surveillance market include the adoption of edge computing, the integration of deep learning algorithms, and the proliferation of cloud-based video analytics platforms. These trends are poised to reshape the landscape of video surveillance technology, enabling faster processing, greater scalability, and enhanced flexibility for organizations deploying AI-powered surveillance solutions.

As organizations continue to recognize the value of AI in video surveillance, the market is expected to witness sustained growth, with increasing investments in AI-driven security solutions. Collaboration between technology providers, security integrators, and end-users will be crucial for driving innovation and addressing evolving security challenges in an increasingly complex threat landscape.

Shaping the Future: AI in Video Surveillance Market Size, Share, and Key Trends Unveiled

The future of the AI in video surveillance market is shaped by innovative technologies, evolving security threats, and changing customer demands. This section explores the market's size, share, and key trends that are driving its evolution and shaping its trajectory.

As organizations across various sectors continue to prioritize security and invest in advanced surveillance solutions, the AI in video surveillance market is poised for significant growth. The market size is expected to expand as businesses, governments, and institutions seek to leverage AI-driven video analytics to enhance security, optimize operations, and mitigate risks.

Key trends shaping the future of the AI in video surveillance market include:

Integration of Advanced Analytics: The integration of advanced analytics capabilities, such as facial recognition, object detection, and behavior analysis, is driving the adoption of AI in video surveillance. These technologies enable more accurate and efficient monitoring, allowing organizations to identify and respond to security threats in real-time.

Focus on Privacy and Ethics: With the increasing use of AI-powered surveillance systems, there is growing concern about privacy and ethical considerations. As a result, there is a shift towards developing transparent and accountable AI algorithms, as well as implementing privacy-enhancing features such as anonymization and data encryption.

Edge Computing and IoT Integration: Edge computing and the integration of Internet of Things (IoT) devices are enabling distributed intelligence and real-time processing at the network edge. By deploying AI algorithms directly on surveillance cameras or edge devices, organizations can reduce latency, improve scalability, and enhance the efficiency of video analytics.

Cloud-Based Video Management: The adoption of cloud-based video management platforms is facilitating centralized storage, remote access, and advanced analytics capabilities. Cloud-based solutions offer scalability, flexibility, and cost-effectiveness, allowing organizations to deploy AI-driven surveillance systems without significant upfront investments in infrastructure.

As organizations embrace these trends and invest in AI-powered video surveillance solutions, the market is expected to witness continued expansion and innovation. Collaboration between technology vendors, security providers, and regulatory bodies will be essential for addressing emerging challenges and ensuring the responsible deployment of AI in video surveillance.

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Insights into Growth: AI in Video Surveillance Market Size, Share, and Trend Forecast

The AI in video surveillance market is poised for substantial growth in the coming years, driven by advancements in artificial intelligence, increasing security concerns, and the proliferation of video surveillance systems. This section provides insights into the market's size, share, and forecasted trends, offering valuable perspectives for stakeholders in the industry.

With the growing adoption of AI-powered video analytics solutions, the market size is projected to expand significantly over the forecast period. Organizations across various sectors, including retail, transportation, banking, and healthcare, are increasingly investing in AI-driven surveillance systems to enhance security, improve operational efficiency, and gain actionable insights from video data.

Key factors contributing to the growth of the AI in video surveillance market include:

Rising Security Threats: The increasing prevalence of security threats, such as theft, vandalism, terrorism, and cyberattacks, is driving the demand for advanced video surveillance solutions. AI-powered analytics enable organizations to detect and respond to security incidents in real-time, reducing the risk of potential threats and enhancing overall safety and security.

Technological Advancements: Ongoing advancements in artificial intelligence, machine learning, and computer vision are fueling innovation within the video surveillance industry. AI algorithms are becoming increasingly sophisticated, enabling more accurate and efficient video analysis, object recognition, and behavior prediction.

Market Expansion in Emerging Regions: The adoption of AI in video surveillance is expanding rapidly in emerging regions, driven by urbanization, infrastructure development, and increasing security concerns. Countries in Asia Pacific, Latin America, and the Middle East are witnessing significant investments in surveillance infrastructure, creating lucrative opportunities for market players.

Integration with Smart City Initiatives: The integration of AI-powered video surveillance systems with smart city initiatives is driving market growth, as governments seek to enhance public safety, traffic management, and urban planning. AI analytics enable cities to monitor and analyze vast amounts of video data in real-time, facilitating proactive decision-making and resource allocation.

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Technological Advancements and Emerging Trends in the Wireless Mesh Network Market

The global wireless mesh network market size is expected to reach USD 15.95 billion by 2030, registering a CAGR of 8.6% from 2023 to 2030, according to a new report by Grand View Research, Inc. In the Internet of Things (IoT) platforms, mesh networking is a viable method for managing device-to-device communication. With its assistance, IoT networks may operate more quickly and effectively without needing expensive gear or burning excessive electricity. The increasing adoption of wireless communication mediums and the usage of IoT and Artificial Intelligence (AI) have been major factors driving the global market growth. In addition, the growing opportunities in the oil & gas industries and the development of smart cities & infrastructure have led to increased adoption of Wireless Mesh Networks (WMN).

The industry has been expanding owing to the rising demand for reliable, efficient network performance and the flexibility of WMNs to expand and improve performance. Furthermore, rising mobile device adoption and mobile device penetration both contribute to the expansion of this industry. In addition, the growth is aided by the rising demand for WMNs from small- and medium-sized businesses. Environmental monitoring and precision agriculture are two areas where WMNs are gaining prominence. The farming sector uses automation and technology to boost profitability and cut operating costs. The use of sensors in fields, tractors, and vineyards for monitoring and managing farm operations has recently encouraged the expansion of the WMN industry, resulting in improved crop output and less resource waste.

The use of high-frequency WMNs for precision farming and tractor automation has increased the demand for these networks. Low-frequency WMNs using sensor networks are utilized for environmental condition monitoring. Technological innovations are being possible as IoT sensors and smartphones are integrated into a seamless wireless network. Mesh connectivity, in particular, will reduce the strain on the healthcare communications system, enhance patient care, streamline processes, manage assets, and better use scarce resources. For instance, Wyld Networks has created a WMN solution to construct a decentralized communication network connecting smartphones and IoT sensors directly to one another and enhancing any existing Wi-Fi and 4G coverage.

Wireless Mesh Network Market Report Highlights

Mesh network has numerous applications in smart cities owing to the requirement for automation and high-technology wireless connectivity

The growing internet and telephone connectivity primarily drive the industry owing to the increasing prominence of AI-based technologies

North America dominated the global industry in 2022 and will remain dominant during the forecast period due to tremendous growth in WMN technology in the U.S. and Canada

The durability and flexibility of WMNs have increased their appeal among businesses over the past few years

Leading industry players are focusing on enhancing their product and service portfolios to tap into the global market

Wireless Mesh Network Market Segmentation

Grand View Research has segmented the global wireless mesh network market based on radio frequency, application, end-use, and region:

Wireless Mesh Network Radio Frequency Outlook (Revenue, USD Million, 2017 - 2030)

Sub 1GHz

4 GHz

9 GHz

5 GHz

Wireless Mesh Network Application Outlook (Revenue, USD Million, 2017 - 2030)

Home Networking

Video Surveillance

Disaster Management & Rescue Operations

Medical Device Connectivity

Traffic Management

Wireless Mesh Network End-use Outlook (Revenue, USD Million, 2017 - 2030)

Education

Government

Healthcare

Hospitality

Mining

Oil & Gas

Transportation & Logistics

Smart Cities & Warehouses

Others

Wireless Mesh Network Regional Outlook (Revenue, USD Million, 2017 - 2030)

North America

US

Canada

Mexico

Europe

UK

Germany

France

Asia Pacific

China

Japan

India

Latin America

Brazil

Middle East and Africa (MEA)

Key Players in the Wireless Mesh Network Market

Aruba Networks Inc.

BelAir Network Inc.

Cisco Systems, Inc.

Firetide, Inc.

Rajant Corp.

Ruckus Wireless, Inc.

Strix Wireless Systems Pvt. Ltd.

Synapse Wireless, Inc.

Tropos Networks, Inc.

ZIH Corp

Order a free sample PDF of the Wireless Mesh Network Market Intelligence Study, published by Grand View Research.

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The driving factors influencing the global video surveillance market include increasing crime rate, the necessity of strong security infrastructure, and...

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Image Recognition Market Size, Share And Trends Analysis Report

The global image recognition market size is expected to reach USD 128.3 billion by 2030, registering a CAGR of 12.8% from 2024 to 2030, according to a new report by Grand View Research, Inc. Image processing and recognition have evolved with numerous powerful applications, such as security and surveillance, and medical imaging that have created a great value from a business perspective. Functions of figure identification, such as facial or object recognition, visual geolocation, barcode reading, and automated driver assistance, among other industrial automation-related functions, have demonstrated the versatility of this technology. When combined with AI, this technology has begun to create valuable growth opportunities in several verticals, such as gaming, social networking, and e-commerce. For instance, Twitter and Facebook, two major platforms in the world of social networking, have benefited from the technology in terms of audience engagement as they have created a more connected experience by encouraging users to share images and tag their friends.

The advent of digital cameras, particularly cameras built into smartphones, has led to an exponential growth in the volume of digital content in the form of images and videos. A vast amount of visual and digital data is being captured and shared through several applications, websites, social networks, and other digital channels. Several businesses have leveraged this online content to deliver better and smarter services to their customers, with the use of digital image processing. For instance, in October 2019, SnapPay Inc., a U.S. based payment platform provider, has launched facial recognition payment technology in the North America region. By using this thechnology in its payment solution, the company has aimed at allowing its customers a new level of convenience for payments at retail outlets.

Gather more insights about the market drivers, restrains and growth of the Image Recognition Market

Image Recognition Market Report Highlights

• Facial recognition dominated the market and accounted for the largest revenue share of 22.5% in 2023. The increasing demand for enhanced security measures across various industries, such as government, banking, and retail, has significantly contributed to the dominance of facial recognition systems.

• The service segment led the market and accounted for the largest revenue share of 39.1% in 2023. The service segment offers tailored image recognition solutions that can be customized to meet the specific needs of businesses across various industries.

• The cloud segment held the largest market revenue share of 71.6% in 2023. The rise in the cloud-based market is due to its greater use in industries needing centralized monitoring, such as BFSI, media, government, and entertainment.

• The retail & e-commerce segment dominated the market with a share of 21.0% in 2023. E-commerce websites prioritize content management to enhance their product offerings and boost sales.

• The marketing & advertising segment held the largest market share of 29.6% in 2023. Many businesses adopted technology with advanced advertising, customer interaction, and branding to improve their marketing activities.

• North America image recognition market dominated the global market and accounted for the largest revenue share of 34.0% in 2023. The rise in the market is due to the growing inclusion of AI and mobile computing in online shopping and e-commerce industries.

Image Recognition Market Segmentation

Grand View Research has segmented global image recognition market report based on, technique, component, deployment mode, vertical, application, and region:

Image Recognition Technique Outlook (Revenue, USD Million, 2018 - 2030)

• QR/ Barcode Recognition

• Object Recognition

• Facial Recognition

• Pattern Recognition

• Optical Character Recognition

Image Recognition Component Outlook (Revenue, USD Million, 2018 - 2030)

• Hardware

• Software

• Service

o Managed

o Professional

o Training, Support, and Maintenance

Image Recognition Deployment Mode Outlook (Revenue, USD Million, 2018 - 2030)

• Cloud

• On-Premises

Image Recognition Vertical Outlook (Revenue, USD Million, 2018 - 2030)

• Retail & E-commerce

• Media & Entertainment

• BFSI

• Automobile & Transportation

• Telecom & IT

• Government

• Healthcare

• Others

Image Recognition Application Outlook (Revenue, USD Million, 2018 - 2030)

• Augmented Reality

• Scanning & Imaging

• Security & Surveillance

• Marketing & Advertising

• Image Search

Image Recognition Regional Outlook (Revenue, USD Million, 2018 - 2030)

• North America

o U.S.

o Canada

o Mexico

• Europe

o UK

o Germany

o France

• Asia Pacific

o China

o India

o Japan

o Australia

o South Korea

• Latin America

o Brazil

• Middle East and Africa (MEA)

o Saudi Arabia

o South Africa

o UAE

Order a free sample PDF of the Image Recognition Market Intelligence Study, published by Grand View Research.

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AI in Video Surveillance Market by Offering (AI Camera, Video Management System, Video Analytics), Deployment (Cloud, Edge), Technology (Machine Learning, Deep Learning, GenAI, Computer Vision, Natural Language Processing) - Global Forecast to 2030The AI in video surveillance market size is projected to grow from USD 3.90 billion in 2024 and is expected to reach USD 12.46 billion by 2030, growing at a CAGR of 21.3%  from 2025 to 2030. Al in video surveillance presents the most critical challenges related to data privacy and regulatory compliance.

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GigE Camera Market 2022 | Present Scenario and Growth Prospects 2032

The global GigE camera market size is anticipated to develop at a CAGR of 9.1% from 2022 to 2032, reaching US$ 5.8 billion. In 2022, its estimated worth will be US$ 3.5 billion. Sales of GigE cameras are expected to increase in the coming years as a result of these cameras’ capacity to transport data swiftly during certain tasks that call for the use of numerous cameras.

GigE Camera or Gigabit Ethernet Camera is the image camera which has an ability to interface with computer system using GigE port. GigE cameras are based on GigE vision standards developed specifically for cameras which transmit images over gigabit Ethernet.

GigE cameras have ability to transfer data up to 1000MB/s which makes it favourable for many demanding applications. GigE cameras are predominantly used for applications which requires high rate of data transfer through long cable distances.

The GigE camera is a very affordable solution with simple configuration possibilities because it does not require a frame grabber, unlike many previous interface technologies. Over the course of the forecast period, all of these benefits are anticipated to contribute to the GigE camera market’s swift expansion.

GigE Camera Market: Drivers & Restraints

GigE camera market is expected to show significant growth during the period of forecast. Factors which are driving the growth of global GigE camera market are fast data transfer speed, decreasing development cost and efficient video transmission with easier configuration options.

On the other hand, increased CPU load and necessity of universal driver for interoperability are the restraints for the growth of global GigE camera market. However, adoption of 3D vision technologies and move towards smart camera based system creates great opportunity for global GigE camera market

GigE Camera Market: Region wise outlook

By region, the global GigE camera market can be segmented into seven regions namely, North America , Latin America, Asia-Pacific excluding Japan, Western Europe, Japan as a separate region, Eastern Europe and Middle East & Africa. Out of all this regions, present global GigE camera market is dominated by North America region in terms of value.

In North America region, non-manufacturing applications of GigE cameras such as security & surveillance, intelligent transportation and medical imaging are dominating. It is mainly because of high infrastructural development and high adoption of advanced technology. On the other hand Asia Pacific region is estimated to grow rapidly during the period of forecast.

Market Competition

Some of the key players operating in the global GigE camera are Toshiba Corporation, Allied Vision Technologies GmbH, Sony Corporation, Basler AG, Teledyne DALSA Inc., Baumer, Qualitas Technologies, IMPERX, Inc., Omron Corporation, and Matrox Imaging.

The global market is highly fragmented with the presence of several renowned companies providing their in-house products. Many vendors are focusing on the rapid adoption of the new product launch strategy with less product differentiation in terms of offerings. A few other key players are aiming to engage in mergers and acquisitions with start-up companies and local firms to strengthen their footprint in the global market.

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Key Segments Profiled in the GigE Camera Industry Survey

By Technology:

Complementary Metal- Oxide — Semiconductor (CMOS)

Charge Coupled Device (CCD)

By Type:

Line Scan

Area Scan

By Color Sensor Type:

Color

Monochrome

By End User:

Military and Defense

Industrial

Pharmaceutical

Traffic, Security & Surveillance

Medical/Life Sciences

Others

By Region:

North America

Latin America

Western Europe

Eastern Europe

APEJ

Japan

Middle East and Africa