• Cat-intel
  • MedIntelliX
  • Resources
  • About Us
  • Request Free Sample ×

    Kindly complete the form below to receive a free sample of this Report

    Leading companies partner with us for data-driven Insights

    clients tt-cursor
    Hero Background

    AI in Video Surveillance Market

    ID: MRFR/SEM/10954-HCR
    128 Pages
    Aarti Dhapte
    October 2025

    AI in Video Surveillance Market Research Report Information By Offering (Hardware, Software, and Service), Deployment Mode (On-premises and Cloud-based), Use Cases (Gun Detection, Industrial Temperature Monitoring, Anomaly detection, Behavior Recognition, Facial recognition, Object detection and perimeter protection, Intrusion detection, perimeter protection, Smoke and Fire Detection, Traffic Flow Analysis and Traffic Incident Detection, False alarm filtering, Parking Monitoring, Vehicle Identification), and Region - Industry Forecast Till 2035

    Share:
    Download PDF ×

    We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

    AI in Video Surveillance Market Infographic
    Purchase Options

    AI in Video Surveillance Market Summary

    As per MRFR analysis, the AI in Video Surveillance Market was estimated at 6.907 USD Billion in 2024. The AI in Video Surveillance industry is projected to grow from 7.963 USD Billion in 2025 to 33.07 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 15.3 during the forecast period 2025 - 2035.

    Key Market Trends & Highlights

    The AI in Video Surveillance Market is experiencing robust growth driven by technological advancements and increasing security demands.

    • The market is witnessing increased adoption of cloud-based solutions, particularly in North America, which remains the largest market.
    • Enhanced analytics capabilities are becoming a focal point, especially within the commercial segment, which is the largest in the market.
    • Privacy and ethical considerations are gaining traction, reflecting a growing awareness among consumers and businesses alike.
    • The rising demand for enhanced security solutions and regulatory compliance are key drivers propelling growth in both the commercial and residential segments.

    Market Size & Forecast

    2024 Market Size 6.907 (USD Billion)
    2035 Market Size 33.07 (USD Billion)
    CAGR (2025 - 2035) 15.3%

    Major Players

    Hikvision (CN), Dahua Technology (CN), Axis Communications (SE), Bosch Security Systems (DE), Hanwha Techwin (KR), FLIR Systems (US), Genetec (CA), Milestone Systems (DK), Honeywell (US), Cisco Systems (US)

    AI in Video Surveillance Market Trends

    The AI in Video Surveillance Market is currently experiencing a transformative phase, driven by advancements in artificial intelligence technologies and increasing demand for enhanced security solutions. Organizations across various sectors are increasingly adopting AI-powered surveillance systems to improve safety, streamline operations, and reduce human error. This shift is largely influenced by the growing need for real-time monitoring and analysis, which allows for quicker responses to potential threats. As a result, the market is evolving rapidly, with innovations in machine learning and computer vision playing pivotal roles in shaping future developments. Moreover, the integration of AI in video surveillance is not merely a trend but appears to be a fundamental change in how security is approached. The ability to analyze vast amounts of data in real-time enables organizations to identify patterns and anomalies that may go unnoticed by traditional systems. This capability not only enhances security measures but also contributes to operational efficiency. As the landscape continues to evolve, stakeholders must remain vigilant and adaptable to leverage the full potential of AI technologies in surveillance applications.

    Increased Adoption of Cloud-Based Solutions

    The trend towards cloud-based video surveillance solutions is gaining momentum, as organizations seek scalable and flexible options. Cloud technology allows for easier access to data and facilitates remote monitoring, which is particularly appealing in today's fast-paced environment.

    Enhanced Analytics Capabilities

    The incorporation of advanced analytics in AI-driven surveillance systems is becoming more prevalent. These capabilities enable organizations to derive actionable insights from video feeds, improving decision-making processes and enhancing overall security effectiveness.

    Focus on Privacy and Ethical Considerations

    As AI in Video Surveillance Market expands, there is a growing emphasis on privacy and ethical implications. Stakeholders are increasingly aware of the need to balance security benefits with individual rights, leading to the development of more responsible surveillance practices.

    The integration of artificial intelligence in video surveillance systems is poised to enhance security measures, enabling more efficient monitoring and response capabilities across various sectors.

    U.S. Department of Homeland Security

    AI in Video Surveillance Market Drivers

    Integration of AI with IoT Devices

    The integration of AI with Internet of Things (IoT) devices is a transformative driver in the AI in Video Surveillance Market. As IoT technology becomes more prevalent, the synergy between AI and IoT is creating smarter surveillance systems capable of real-time data analysis and decision-making. This integration allows for seamless communication between devices, enhancing the overall efficiency of surveillance operations. The market is witnessing a surge in demand for connected surveillance solutions that can provide comprehensive insights and analytics. As organizations increasingly adopt IoT frameworks, the AI in Video Surveillance Market is expected to experience substantial growth, driven by the need for interconnected and intelligent security systems.

    Regulatory Compliance and Safety Standards

    Regulatory compliance and safety standards are becoming increasingly stringent, driving the AI in Video Surveillance Market. Governments and regulatory bodies are implementing laws that mandate the use of advanced surveillance technologies in public spaces to enhance safety and security. For instance, many regions require the installation of surveillance systems in critical infrastructure sectors, such as transportation and energy. This regulatory push is likely to increase the adoption of AI-driven surveillance solutions, as they offer enhanced monitoring capabilities and compliance with safety standards. The market is expected to benefit from this trend, as organizations strive to meet regulatory requirements while improving their security measures.

    Growing Demand for Enhanced Security Solutions

    The increasing need for enhanced security solutions is a primary driver in the AI in Video Surveillance Market. Organizations across various sectors, including retail, transportation, and critical infrastructure, are investing in advanced surveillance systems to mitigate risks associated with theft, vandalism, and other criminal activities. According to recent estimates, the market for video surveillance is projected to reach USD 75 billion by 2025, with AI technologies playing a crucial role in this growth. The integration of AI enables real-time threat detection and response, which is essential for maintaining safety in public and private spaces. As security concerns continue to rise, the demand for AI-driven surveillance solutions is expected to escalate, further propelling the market forward.

    Technological Advancements in AI and Machine Learning

    Technological advancements in AI and machine learning are significantly influencing the AI in Video Surveillance Market. Innovations in image recognition, facial recognition, and behavior analysis are enhancing the capabilities of surveillance systems. These technologies allow for more accurate monitoring and analysis of video feeds, leading to improved incident response times and reduced false alarms. The market is witnessing a shift towards intelligent surveillance systems that can learn from data and adapt to new threats. As organizations seek to leverage these advancements, the market is anticipated to grow at a compound annual growth rate of over 20% in the coming years. This trend indicates a strong inclination towards integrating sophisticated AI algorithms into video surveillance systems.

    Rising Concerns Over Public Safety and Crime Prevention

    Rising concerns over public safety and crime prevention are pivotal in shaping the AI in Video Surveillance Market. As urbanization continues to increase, cities are facing challenges related to crime and safety. AI-powered surveillance systems provide a proactive approach to crime prevention by enabling authorities to monitor public spaces effectively. The ability to analyze vast amounts of data in real-time allows for quicker identification of suspicious activities, thereby enhancing public safety. This growing emphasis on crime prevention is likely to drive investments in AI surveillance technologies, with the market projected to expand significantly as municipalities and organizations prioritize safety initiatives.

    Market Segment Insights

    By Vertical: Commercial (Largest) vs. Residential (Fastest-Growing)

    In the AI in Video Surveillance Market, the vertical segment reveals a diverse distribution of market share. The commercial sector holds the largest portion, driven by increasing security needs in businesses and retail spaces. Following closely, the residential segment is quickly gaining traction, as homeowners seek advanced surveillance solutions to enhance security and protect property. Infrastructure, military and defense, public facilities, and industrial sectors exhibit notable shares, reflecting the widespread adoption of AI technologies across various verticals.

    Commercial (Dominant) vs. Residential (Emerging)

    The commercial segment stands as the dominant force in the AI in Video Surveillance Market, recognized for its robust adoption of AI technologies to improve safety and operational efficiency. Businesses invest in sophisticated surveillance to deter crime, monitor activities, and optimize resource management. On the other hand, the residential segment is emerging rapidly, as consumers increasingly prioritize personal safety and smart home technologies. This growth is fueled by technological advancements and a growing awareness of the value of AI-driven surveillance systems. Both segments reflect a trend where enhanced security measures are becoming integral parts of daily life.

    By Offering: Software (Largest) vs. Service (Fastest-Growing)

    In the AI in Video Surveillance Market, the offering segment is characterized by a clear distribution of market share among hardware, software, and service. Currently, software holds the largest share due to its pivotal role in processing and analyzing video data. This segment's dominance is driven by the increasing adoption of AI-powered analytics tools that enhance security measures. On the other hand, hardware adoption is also significant, supporting software applications with necessary physical infrastructure, though it takes a backseat in terms of growth compared to services and software.

    Software (Dominant) vs. Service (Emerging)

    The software segment in the AI in Video Surveillance Market is a dominant player, primarily due to its ability to integrate advanced AI algorithms that enhance surveillance capabilities. These solutions facilitate real-time monitoring, facial recognition, and behavior analysis, making them indispensable for modern security systems. Conversely, the service segment, though currently emerging, is witnessing rapid growth as organizations seek comprehensive solutions that combine hardware and software installation, maintenance, and support. This demand for integrated services is fueled by the increasing complexity of surveillance systems and the need for continuous updates and expert support in leveraging AI technologies.

    By Deployment Mode: On-premises (Largest) vs. Cloud-based (Fastest-Growing)

    The deployment mode segment in the AI in video surveillance market showcases a notable distribution between on-premises and cloud-based solutions. On-premises systems currently dominate the market due to their stable infrastructure and enhanced security features, appealing particularly to large organizations with stringent data protection requirements. However, the emergence of cloud-based offerings, which provide scalability and reduced installation costs, is gaining traction, making them a strong competitor in recent years. As AI technology evolves, the preference for flexible and cost-effective solutions is reshaping deployment choices.

    Deployment Mode: On-premises (Dominant) vs. Cloud-based (Emerging)

    On-premises deployment remains the dominant choice within the AI in video surveillance market, favored for its robust security and control mechanisms. Businesses often prefer this mode as it ensures that sensitive data is stored locally, thus minimizing exposure to cyber threats. Conversely, cloud-based solutions are emerging rapidly, driven by their ease of integration, lower upfront costs, and ability to leverage advanced AI algorithms without extensive hardware investments. As organizations increasingly shift toward remote and decentralized operations, cloud solutions are projected to expand, appealing to small and medium enterprises that prioritize flexibility and operational efficiency.

    By Use Cases: Facial Recognition/Person Search (Largest) vs. Anomaly Detection and Behavior Recognition (Fastest-Growing).webp

    In the AI in Video Surveillance Market, Facial Recognition/Person Search holds the largest market share, driven by its broad applicability in security solutions across various sectors including retail, transportation, and public safety. Industrial Temperature Monitoring, Gun Detection, and Object Detection also contribute substantial shares, supporting a significant diversification of AI use cases in the surveillance industry. Furthermore, technologies such as Smoke and Fire Detection complement traditional surveillance systems, enhancing safety features while appealing to a diverse clientele. The growth trends within the AI surveillance landscape indicate rapid expansion in Anomaly Detection and Behavior Recognition, making it the fastest-growing segment. The increasing demand for advanced security measures, particularly post-pandemic, supports this growth. Additionally, technological advancements in machine learning and computer vision fuel the deployment of these systems, enabling businesses to identify unusual patterns effectively and respond proactively to potential threats.

    Facial Recognition/Person Search (Dominant) vs. Anomaly Detection and Behavior Recognition (Emerging)

    Facial Recognition/Person Search represents the dominant force in the AI in Video Surveillance Market, leveraging advanced algorithms to accurately identify and track individuals in real-time. This technology is widely implemented in airports, secure facilities, and public spaces, enhancing security measures through reliability and precision. On the other hand, Anomaly Detection and Behavior Recognition is positioned as an emerging player, driven by its ability to analyze and recognize unusual activities within surveillance footage. As businesses increasingly seek to bolster security frameworks, this segment gains traction, supported by innovations in AI that enable more nuanced interpretations of human behavior and ambient conditions. Both segments are essential in forming a comprehensive approach to security in various environments.

    Get more detailed insights about AI in Video Surveillance Market

    Regional Insights

    North America : Technology Adoption Leader

    North America is the largest market for AI in video surveillance, holding approximately 40% of the global share. The region's growth is driven by increasing security concerns, advancements in AI technology, and supportive government regulations. The demand for smart surveillance solutions is rising, particularly in urban areas, as cities seek to enhance public safety and operational efficiency. Regulatory frameworks are evolving to support the integration of AI technologies in surveillance systems, further propelling market growth. The United States is the leading country in this sector, with significant contributions from Canada. Major players like Hikvision, FLIR Systems, and Honeywell are actively innovating and expanding their product offerings. The competitive landscape is characterized by strategic partnerships and acquisitions, as companies aim to enhance their technological capabilities and market reach. The presence of established firms and a robust technological infrastructure positions North America as a key player in the AI video surveillance market.

    Europe : Regulatory Framework Innovator

    Europe is the second-largest market for AI in video surveillance, accounting for approximately 30% of the global market share. The region's growth is fueled by stringent security regulations, increasing investments in smart city initiatives, and a rising demand for advanced surveillance solutions. Countries are implementing policies that encourage the adoption of AI technologies while ensuring compliance with privacy laws, which is crucial for market expansion. The European Union's focus on digital transformation is also a significant driver of growth. Germany, the United Kingdom, and France are the leading countries in this market, with a strong presence of key players like Bosch Security Systems and Axis Communications. The competitive landscape is marked by innovation and collaboration among technology providers, as they seek to meet the evolving needs of customers. The emphasis on data protection and ethical AI use is shaping the market dynamics, making Europe a unique player in the global AI video surveillance landscape.

    Asia-Pacific : Emerging Market Potential

    Asia-Pacific is witnessing rapid growth in the AI in video surveillance market, holding approximately 25% of the global share. The region's expansion is driven by increasing urbanization, rising crime rates, and government initiatives aimed at enhancing public safety. Countries are investing heavily in smart city projects, which are integrating AI technologies into surveillance systems. Regulatory support is also growing, as governments recognize the importance of advanced surveillance solutions in maintaining security and order. China, Japan, and South Korea are the leading countries in this market, with significant contributions from local players like Dahua Technology and Hanwha Techwin. The competitive landscape is characterized by a mix of established companies and emerging startups, all vying for market share. The presence of a large consumer base and increasing technological adoption are key factors driving the growth of AI video surveillance in the region.

    Middle East and Africa : Growing Security Concerns

    The Middle East and Africa region is experiencing significant growth in the AI in video surveillance market, accounting for approximately 5% of the global share. The growth is primarily driven by increasing security concerns, urbanization, and government investments in infrastructure. Countries in this region are recognizing the need for advanced surveillance solutions to combat crime and enhance public safety. Regulatory frameworks are gradually evolving to support the adoption of AI technologies in surveillance systems, which is crucial for market development. Leading countries in this market include the United Arab Emirates and South Africa, where there is a growing presence of key players like Genetec and Milestone Systems. The competitive landscape is characterized by partnerships between technology providers and government agencies, aimed at enhancing security measures. As the region continues to develop, the demand for AI-driven surveillance solutions is expected to rise, making it a key area for future investment.

    Key Players and Competitive Insights

    The AI in Video Surveillance Market is currently characterized by a dynamic competitive landscape, driven by rapid technological advancements and increasing demand for enhanced security solutions. Major players such as Hikvision (CN), Dahua Technology (CN), and Axis Communications (SE) are at the forefront, each adopting distinct strategies to solidify their market positions. Hikvision (CN) focuses on innovation through continuous investment in R&D, aiming to enhance its AI capabilities, while Dahua Technology (CN) emphasizes regional expansion, particularly in emerging markets, to capture a broader customer base. Axis Communications (SE) is leveraging partnerships with technology firms to integrate advanced analytics into its offerings, thereby enhancing its competitive edge. Collectively, these strategies contribute to a moderately fragmented market structure, where competition is intensifying as companies seek to differentiate themselves through technological advancements and customer-centric solutions.

    In terms of business tactics, companies are increasingly localizing manufacturing to reduce costs and improve supply chain efficiency. This approach not only mitigates risks associated with The AI in Video Surveillance demands. The competitive structure of the AI in Video Surveillance Market remains moderately fragmented, with key players exerting considerable influence over market dynamics. Their collective actions shape a landscape where innovation and operational efficiency are paramount, driving the overall growth of the sector.

    In August 2025, Hikvision (CN) announced the launch of its latest AI-powered surveillance camera, which incorporates advanced facial recognition technology. This strategic move is significant as it positions Hikvision to meet the growing demand for sophisticated security solutions, particularly in urban environments where safety concerns are paramount. The introduction of this product is likely to enhance Hikvision's market share and reinforce its reputation as a leader in AI surveillance technology.

    In September 2025, Dahua Technology (CN) unveiled a new partnership with a leading cloud service provider to enhance its video analytics capabilities. This collaboration is expected to facilitate the integration of cloud-based AI solutions into Dahua's existing product line, thereby improving the scalability and efficiency of its surveillance systems. Such strategic alliances are indicative of a broader trend towards cloud integration in the industry, which may redefine operational paradigms and customer engagement strategies.

    In October 2025, Axis Communications (SE) launched a new initiative aimed at promoting sustainability in its product development processes. This initiative focuses on reducing the environmental impact of its manufacturing operations and enhancing the energy efficiency of its surveillance systems. By prioritizing sustainability, Axis Communications not only addresses growing consumer demand for eco-friendly solutions but also positions itself favorably in a market increasingly influenced by corporate social responsibility.

    As of October 2025, the competitive trends in the AI in Video Surveillance Market are heavily influenced by digitalization, sustainability, and the integration of AI technologies. Strategic alliances are becoming increasingly vital, as companies recognize the need to collaborate to enhance their technological capabilities and market reach. Looking ahead, competitive differentiation is likely to evolve from traditional price-based competition towards a focus on innovation, advanced technology, and supply chain reliability. This shift underscores the importance of adaptability and forward-thinking strategies in navigating the complexities of the modern surveillance landscape.

    Key Companies in the AI in Video Surveillance Market market include

    Industry Developments

    April 2024, Hanwha Vision, a video surveillance company, and LenelS2, a provider of advanced security systems, announced their combined efforts to establish a strong strategic partnership.

    February 2024, Berlin's promiseQ raised seven figures in seed investment, marketplace expansion as it aims at enhancing its AI-driven video surveillance platform on IOT market. The company intends to enhance customer security through the use of generative AI and computer vision technology.

    February 2024, Enkrypt AI developed an advanced security technology for generative AI systems and at this time, they were able to raise USD 2.35 million funding aimed at developing this specific technology.

    February 2024, Global Solutions Inc., more commonly known as MSI, and Google Cloud entered into a multi-year partnership to help solve problems in public safety and business security, and the signing of this contract marked the beginning.

    August 2023, Sunell Security and Cloudastructure established a strategy to leverage AI based surveillance camera’s speakers and other hardware’s. This partnership allowed Cloudastructure to avoid delays sourcing surveillance cameras out of China.

    July 2023, there will be AI-based real-time cameras in Paris during next summer’s Olympic games that’s able to spot trouble, including disappeared bags and unexpected crowds.

    June 2023: Protect 2023 R2, the most recent product update from Milestone Systems, is a software update made to address the changing needs of customers of video management software (VMS). May 2023: In order to provide public safety organizations with another essential source of real-time field intelligence and collaboration, Motorola Solutions unveiled the V700, a next-generation body camera with mobile broadband capabilities. The M500 in-car video system, APX radios, and Holster Aware sensors are all supported by the cloud-based Aware platform, which the V700 interfaces with without any issues. Aware also offers a standard operational perspective.

    September 2022, the addition of ColorVu technology was incorporated by Hikvision to its Pro series PTZ cameras. With the expansion of the Pro series of cameras that incorporate ColorVu by Hikvision, as the camera zooms in and out, the brightness of the image would remain constant, and color imaging would be complete. In addition, the enhancement guarantees crisp details and rich colors of objects that are far away at all times and in any conditions.

    April 2022, Teledyne FLIR introduced Hadron 640R, which is a multi-spectral camera module, enabling simultaneous thermal and visible imaging, for application in Unmanned Aerial Systems (UAS), Unmanned Ground Vehicles (UGV), robotic systems and AI-based systems.

    .webp

    Future Outlook

    AI in Video Surveillance Market Future Outlook

    The AI in Video Surveillance Market is projected to grow at a 15.3% CAGR from 2024 to 2035, driven by advancements in AI technology, increasing security concerns, and regulatory compliance.

    New opportunities lie in:

    • Integration of AI-driven analytics for real-time threat detection
    • Development of cloud-based surveillance solutions for scalability
    • Partnerships with IoT providers to enhance smart city initiatives

    By 2035, the market is expected to be robust, driven by innovation and strategic partnerships.

    Market Segmentation

    AI in Video Surveillance Market Offering Outlook

    • Hardware
    • Software
    • Service

    AI in Video Surveillance Market Vertical Outlook

    • Commercial
    • Residential
    • Infrastructure
    • Military and Defense
    • Public Facility
    • Industrial

    AI in Video Surveillance Market Use Cases Outlook

    • Gun Detection
    • Industrial Temperature Monitoring
    • Anomaly Detection and Behavior Recognition
    • Facial Recognition/Person Search.webp
    • Object Detection and Perimeter Protection
    • Intrusion Detection and Perimeter Protection
    • Smoke and Fire Detection
    • Traffic Flow Analysis/ Accident and Traffic Incident Detection.webp
    • False Alarm Filtering
    • Parking Monitoring
    • Vehicle Identification and Numberplate Recognition

    AI in Video Surveillance Market Deployment Mode Outlook

    • On-premises
    • Cloud-based

    Report Scope

    MARKET SIZE 20246.907(USD Billion)
    MARKET SIZE 20257.963(USD Billion)
    MARKET SIZE 203533.07(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR)15.3% (2024 - 2035)
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR2024
    Market Forecast Period2025 - 2035
    Historical Data2019 - 2024
    Market Forecast UnitsUSD Billion
    Key Companies ProfiledMarket analysis in progress
    Segments CoveredMarket segmentation analysis in progress
    Key Market OpportunitiesIntegration of advanced analytics and real-time monitoring enhances security solutions in the AI in Video Surveillance Market.
    Key Market DynamicsRising demand for advanced analytics drives innovation and competition in the AI video surveillance sector.
    Countries CoveredNorth America, Europe, APAC, South America, MEA

    Market Highlights

    Author
    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in Market Research and Business Consulting, working under the spectrum of Information Communication Technology, Telecommunications and Semiconductor domains. Aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. Her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

    Leave a Comment

    FAQs

    What is the projected market valuation for AI in Video Surveillance by 2035?

    The projected market valuation for AI in Video Surveillance is expected to reach 33.07 USD Billion by 2035.

    What was the market valuation for AI in Video Surveillance in 2024?

    The overall market valuation for AI in Video Surveillance was 6.907 USD Billion in 2024.

    What is the expected CAGR for the AI in Video Surveillance market from 2025 to 2035?

    The expected CAGR for the AI in Video Surveillance market during the forecast period 2025 - 2035 is 15.3%.

    Which companies are considered key players in the AI in Video Surveillance market?

    Key players in the AI in Video Surveillance market include Hikvision, Dahua Technology, Axis Communications, and Bosch Security Systems.

    What are the primary segments of the AI in Video Surveillance market?

    The primary segments of the AI in Video Surveillance market include Commercial, Residential, Infrastructure, Military and Defense, Public Facility, and Industrial.

    How does the hardware segment perform in the AI in Video Surveillance market?

    The hardware segment is projected to grow from 2.5 USD Billion in 2024 to 11.5 USD Billion by 2035.

    Download Free Sample

    Kindly complete the form below to receive a free sample of this Report

    Case Study
    Chemicals and Materials

    Compare Licence

    ×
    Features License Type
    Single User Multiuser License Enterprise User
    Price $4,950 $5,950 $7,250
    Maximum User Access Limit 1 User Upto 10 Users Unrestricted Access Throughout the Organization
    Free Customization
    Direct Access to Analyst
    Deliverable Format
    Platform Access
    Discount on Next Purchase 10% 15% 15%
    Printable Versions