Global AI Video Analytics Market Size, Share, and Trends Analysis Report – Industry Overview and Forecast to 2031

Global AI Video Analytics Market Analysis

The growing demand for technological advancements and the integration of artificial intelligence in video analytics across various industries for business function monitoring is driving market growth. In addition, the increasing need for security cameras to surveil assets and machinery is expected to further propel this market. However, the high installation costs, potential security breaches by hackers, and inadequate internet infrastructure in developing nations may hinder market expansion. On the other hand, the rising necessity for business intelligence, insights into consumer behavior, and the collection of data for analytical purposes present significant opportunities for the growth of the AI-powered video analytics market.

Global AI Video Analytics Market Size

Global AI video analytics market size was valued at USD 9.12 billion in 2023 and is projected to reach USD 78.57 billion by 2031, with a CAGR of 30.89% during the forecast period of 2024 to 2031. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, PORTER analysis, and PESTLE analysis.

Global AI Video Analytics Market Trends

“Rising Demand for Real-Time Surveillance”

The global AI video analytics market is witnessing significant growth, primarily fueled by the rising demand for real-time surveillance across various sectors, including transportation, retail, and public safety. As businesses and governments increasingly recognize the importance of security and operational efficiency, there is a pressing need for advanced solutions that can instantly monitor, detect, and analyze video feeds. AI video analytics offers capabilities such as object detection, facial recognition, and behavior analysis, enabling organizations to respond quickly to incidents and streamline their operations. The trend toward smart cities further amplifies this demand, as real-time video analytics plays a crucial role in managing urban environments effectively. In smart cities, video surveillance systems are integrated with AI technology to enhance traffic management, prevent crime, and improve emergency response. For instance, traffic cameras equipped with AI analytics can monitor vehicle flow, identify congestion patterns, and facilitate adaptive traffic signal control, resulting in reduced travel times and improved safety. Moreover, the retail sector is also adopting AI video analytics to optimize store layouts, enhance customer experiences, and reduce theft. By analyzing customer movements and behaviors, retailers can make data-driven decisions that boost sales and improve operational efficiency. Overall, the growing emphasis on safety, efficiency, and the optimization of resources is driving the rapid adoption of AI video analytics, positioning it as a vital component of modern surveillance systems.

Report Scope and Global AI Video Analytics Market Segmentation    

Global AI Video Analytics Market Definition

AI video analytics refers to the use of Artificial Intelligence (AI) and Machine Learning (ML) algorithms to automatically analyze and interpret video data, allowing real-time or post-event detection of objects, behaviors, and patterns without human intervention. These systems enhance traditional video surveillance by identifying objects, recognizing faces, and detecting anomalies, improving security and operational efficiency across various industries such as public safety, retail, transportation, and healthcare.

Global AI Video Analytics Market Dynamics

Drivers

• Advancements in Deep Learning and Computer Vision

Innovations in deep learning algorithms and computer vision technology have significantly enhanced the accuracy and capabilities of AI video analytics. These advancements allow AI systems to recognize and differentiate between objects, people, and activities with greater precision. As AI models continue to improve, they are being deployed in more complex environments, such as autonomous vehicles and healthcare, expanding the market.

• Integration with IoT and Smart Devices

The integration of AI video analytics with IoT-enabled devices and smart infrastructure is a major driver of market growth. Smart devices such as cameras, sensors, and edge computing units can capture and process large volumes of video data, allowing for real-time analysis and actionable insights. This convergence of AI with IoT is particularly beneficial for industries such as manufacturing, where real-time monitoring can improve efficiency and safety.

• Growing Need for Business Intelligence

Companies are increasingly leveraging AI video analytics to extract valuable business intelligence from video data. By analyzing customer behavior, foot traffic, and in-store activities, retailers can optimize store layouts, enhance customer experience, and improve marketing strategies. Similarly, AI-powered video analytics helps organizations in various sectors gain insights into operations, security, and workforce management, boosting demand for these solutions.

Opportunities

• Rising Adoption in Healthcare

AI video analytics holds immense potential in the healthcare sector, particularly in patient monitoring and diagnostics. Hospitals can use video analytics to track patient movements, detect falls, and monitor vital signs in real time. Moreover, AI-powered systems can assist in analyzing medical imagery and improving diagnostic accuracy. As healthcare providers continue to embrace AI technology, the demand for video analytics solutions is expected to grow.

• Expansion of Cloud-Based Solutions

Cloud computing offers an opportunity for the growth of AI video analytics by making these solutions more accessible and scalable. Cloud-based video analytics solutions eliminate the need for on-premise infrastructure, reducing costs and offering flexible deployment options. This is particularly advantageous for small and medium-sized enterprises (SMEs) that can leverage cloud-based AI analytics without heavy capital investment in hardware and storage.

• Increased Focus on Data Privacy and Compliance

With increasing concerns about data privacy and stringent regulations such as GDPR, there is an opportunity for AI video analytics providers to offer solutions that prioritize data security and compliance. Companies can capitalize on this by developing AI systems that anonymize personal data, ensure secure storage, and comply with global privacy standards. This will not only enhance market acceptance but also open doors to sectors such as financial services and healthcare, where data protection is paramount.

Restraints/ Challenges

• High Initial Implementation Costs

One of the primary restraints hindering market growth is the high cost of implementing AI video analytics solutions. Deploying these systems requires significant investment in hardware, such as high-quality cameras and storage, as well as advanced software and skilled personnel to manage the systems. Smaller organizations and businesses with limited budgets may find it difficult to justify the initial outlay, slowing the adoption of AI video analytics in certain markets.

• Data Security and Privacy Concerns

The growing use of AI video analytics raises significant concerns over data security and privacy. Capturing and analyzing vast amounts of video data, particularly in sensitive areas such as public spaces or workplaces, increases the risk of unauthorized access, data breaches, and misuse of personal information. Compliance with various data protection regulations, such as GDPR, adds to the complexity. These challenges create barriers to adoption, as organizations must ensure their AI systems are secure, compliant, and respectful of privacy rights.  

This market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Impact and Current Market Scenario of Raw Material Shortage and Shipping Delays

Data Bridge Market Research offers a high-level analysis of the market and delivers information by keeping in account the impact and current market environment of raw material shortage and shipping delays. This translates into assessing strategic possibilities, creating effective action plans, and assisting businesses in making important decisions.

Apart from the standard report, we also offer in-depth analysis of the procurement level from forecasted shipping delays, distributor mapping by region, commodity analysis, production analysis, price mapping trends, sourcing, category performance analysis, supply chain risk management solutions, advanced benchmarking, and other services for procurement and strategic support.

Expected Impact of Economic Slowdown on the Pricing and Availability of Products

When economic activity slows, industries begin to suffer. The forecasted effects of the economic downturn on the pricing and accessibility of the products are taken into account in the market insight reports and intelligence services provided by DBMR. With this, our clients can typically keep one step ahead of their competitors, project their sales and revenue, and estimate their profit and loss expenditures.

Global AI Video Analytics Market Scope  

The market is segmented on the basis of by component, development model, enterprise size, integration, and end-user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

 Component

• Software
• Services

 Development Model

• On-Premises
• Cloud

 Enterprise Size

• Large Enterprises
• Small & Medium Sized Enterprises

 Integration

• Edge-Based Solutions
• Server-Based Solutions
• Hybrid Solutions

 End-User

• Banking, Financial Services, and Insurance (BFSI)
• Retail
• Government And Public Sector
• Healthcare
• Transportation And Logistics
• Manufacturing
• Others

Global AI Video Analytics Market Regional Analysis

The market is analyzed and market size insights and trends are provided by country, by component, development model, enterprise size, integration, and end-user as referenced above.

The countries covered in the market are U.S., Canada, Mexico, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, rest of Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, rest of Asia-Pacific, Saudi Arabia, U.A.E., South Africa, Egypt, Israel, rest of Middle East and Africa, Brazil, Argentina, and rest of South America.

North America is expected to dominate the market due to its strong technological infrastructure, high adoption rates of advanced surveillance systems, and significant investment in AI and machine learning technologies. The presence of major technology companies and a robust ecosystem for innovation further enhances the region's competitive advantage. In addition, increasing security concerns in sectors such as retail, transportation, and public safety are driving demand for AI video analytics solutions. This combination of factors positions North America as a leader in the market.

Europe is anticipated to be the fastest-growing region in the market, fueled by stringent regulations regarding data protection and privacy, which encourage the adoption of secure AI technologies. The increasing focus on smart city initiatives and enhanced public safety measures is also driving demand for advanced surveillance solutions. Moreover, investments in research and development, alongside the growing integration of AI with IoT devices, are facilitating rapid growth in this region. As industries seek innovative ways to optimize operations and improve security, Europe is poised for significant advancements in AI video analytics.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Global AI Video Analytics Market Share

The market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to market.

 Global AI Video Analytics Market Leaders Operating in the Market Are:

• IBM (U.S.)
• Intel Corporation (U.S.)
• Cisco Systems, Inc. (U.S.)
• Hikvision (China)
• Dahua Technology (China)
• Avigilon (Canada)
• Axis Communications (Sweden)
• Hanwha Techwin (South Korea)
• BriefCam (Israel)
• VIVOTEK (Taiwan)
• Hanwha Techwin (South Korea)
• IntelliVision Technologies (U.S.)
• Verint Systems (U.S.)
• Verkada (U.S.)
• i2v System (India)
• Bosch Security Systems (Germany)
• NICE Systems (Israel)
• Honeywell International (U.S.)
• ObjectVideo Labs, LLC (U.S.)
• Viseum International Limited (U.K.)
• Pro-Vigil, Inc. (U.S.)  

Latest Developments in Global AI video analytics market

• In June 2023, IBM and The All England Lawn Tennis Club revealed new enhancements to the Wimbledon digital fan experience. A key feature is the integration of AI-driven tennis commentary for all video highlights, utilizing IBM watsonx's generative AI technology
• In March 2023, Irisity AB (publ), a leader in advanced video analytics, announced the launch of Irisity Edge for Axis. This offering is designed to provide customers with a comprehensive and intelligent video security system that integrates top-tier video analytics with leading surveillance cameras. The system operates Irisity's AI perimeter security algorithms, which are embedded within the Axis camera, eliminating the need for additional hardware. Irisity Edge for Axis leverages Irisity's cutting-edge video analytics, powered by deep learning AI models and machine learning, in conjunction with the Axis Camera Applications Platform (ACAP)
• In September 2022, Honeywell International Inc. introduced the latest version of its Pro-Watch Integrated Security Suite, which includes Pro-Watch 6.0 and the Pro-Watch Video Management System (VMS) R750, along with the new 35 Series cameras, designed with a strong emphasis on cybersecurity and regulatory compliance
• In February 2020, Avigilon Corporation (a subsidiary of Motorola Solutions) unveiled its newest addition to the video security lineup—the Avigilon H5M camera. This cost-effective camera is ideal for budget-conscious security projects that need a compact camera solution for outdoor environments
• In August 2022, Derq, a spin-off from MIT specializing in real-time AI analytics for connected roads and vehicles, partnered with distributor Paradigm Traffic Systems to bring its AI video analytics and connected infrastructure solutions to Texas. This collaboration aimed to combine Derq's advanced technologies with Paradigm's established market presence and customer relationships to enhance road safety and develop smart traffic infrastructure throughout the state

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