On May 10, 2025, Axis Communications released a pivotal study titled "The State of AI in Video Surveillance," which delves into the transformative impact of artificial intelligence on the video surveillance industry. This comprehensive report not only highlights the technological advancements but also addresses critical ethical considerations and emerging trends shaping the sector.
The study is based on insights gathered from 11 expert interviews and two extensive global surveys involving over 5,500 respondents from more than 60 countries conducted in 2024. According to the findings, the demand for AI-driven surveillance solutions has surged significantly in recent years, driven by customer interest and a growing awareness of the technology's applications.
As Mats Thulin, the Director of AI & Analytics Solutions at Axis Communications, noted, "AI remains one of the most powerful and transformative technologies within the video surveillance industry. This new research reveals that while there are significant opportunities for AI to improve safety and security, operational efficiency and business intelligence, there must be a focus on ethical implementation and meaningful integrations which drive value." His comments underscore the dual nature of AI's potential: it can enhance security while also raising ethical questions.
The report identifies several key trends that are shaping the future of video surveillance. Foremost among these is the increasing emphasis on ethical approaches, data protection, and regulatory compliance. As organizations seek to adopt AI technologies, they are confronted with the necessity for greater collaboration through partnerships to navigate these challenges effectively.
One of the standout trends highlighted in the study is the migration towards hybrid architectures that combine cloud and edge AI. This transition is accelerating as businesses recognize the need for local analytics capabilities that enable rapid responses during critical incidents. The hybrid model leverages the real-time processing capabilities of edge AI on devices while benefiting from the scalability and storage capabilities of cloud infrastructure.
Survey participants pointed out that concerns regarding cybersecurity, risk, and privacy are paramount, with 61% of respondents identifying these issues as top priorities. Additionally, 36% highlighted the importance of analytics and actionable insights, while 34% noted the growing influence of AI and generative AI technologies.
Another significant finding from the report is the increasing integration of diverse data sources. By combining video data with inputs from additional sensors—such as audio and environmental data—organizations can achieve a more comprehensive view of their operations. This comprehensive approach enhances situational awareness and generates deeper, more actionable insights.
The report also notes that facial recognition technology is gaining momentum worldwide. However, it emphasizes the critical need for strict adherence to privacy regulations and transparency regarding the use of these systems. Ethical considerations surrounding facial recognition are particularly important in regions with robust privacy laws, where the potential for misuse raises serious concerns.
Moreover, the study stresses the importance of embedding responsible AI practices from the early stages of development. This proactive approach ensures that systems prioritize fairness, transparency, and data privacy from inception rather than treating these elements as afterthoughts. Human oversight is deemed essential for responsible AI deployment, with transparency identified as a key factor in building trust among users and stakeholders.
In his remarks, Thulin reiterated Axis's commitment to the advancement of responsible AI, stating, "As a company, Axis is committed to the advancement of responsible AI. Our approach to AI is rooted in one overarching principle: That AI technology, just like all technologies, should leverage and augment human intelligence, build on respect for human rights and should benefit people and society. This is in line with Axis vision, to innovate for a smarter, safer world." This commitment reflects a broader industry trend towards responsible technology use.
The methodology behind the study involved semi-structured interviews with technology partners and system integrators who possess extensive AI expertise, as well as analysis of responses from channel partners and end customers across several continents. The findings reveal a clear consensus among experts on the need for ethical AI, the move toward hybrid cloud-edge environments, collaborative integration, and responsible application.
In a related discussion, Jeff Hulse from Verizon Partner Solutions shared insights on key trends and strategic challenges facing the telecommunications industry. During his recent fireside chat at ITW 2025 with Puja Athale, Hulse emphasized how telcos can harness AI to drive innovation and deliver real-world value. He pointed out that adapting to these changes is crucial for staying ahead in a rapidly evolving landscape.
Hulse's reflections on the future priorities for Verizon Partner Solutions indicate a strong alignment with the trends identified in Axis's report. By embracing AI and focusing on ethical implementation, telecommunications companies can enhance their service offerings while addressing the growing concerns surrounding privacy and security.
As both Axis Communications and Verizon Partner Solutions illustrate, the integration of AI in their respective fields is not merely about technological advancement but also about navigating the complex ethical landscape that accompanies such innovations. The emphasis on responsible AI practices and the commitment to transparency will be pivotal in shaping the future of both video surveillance and telecommunications.
In conclusion, as AI continues to evolve and integrate into various sectors, the importance of ethical considerations and responsible implementation cannot be overstated. The insights from these studies and discussions will serve as a guiding framework for organizations aiming to leverage AI while maintaining public trust and adhering to regulatory requirements.
