Axis Communications reveals new video surveillance industry perspectives on AI
23 APRIL 2025 – APAC – Axis Communications, the global industry leader in video surveillance, has released its latest report, ‘The state of AI in video surveillance’, which explores industry perspectives on the use of AI in security, safety and beyond. The report reveals the top critical insights on AI technologies, their integration, and opportunities and challenges with regard to security, safety, business intelligence, and operational efficiency.
AI deployment has surged over the past two years, notably due to increased customer demands, improved knowledge of applications and the emergence of new use cases.
Mats Thulin, Director AI C Analytics Solutions, Axis Communications commented, “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.
Through qualitative research interviews with AI experts from the Axis global partner network, several thematic insights regarding AI technologies were uncovered in this new report.
The transition to cloud and edge AI continues to accelerate
The research findings highlight that the move from on-premise server systems to hybrid architectures continues at pace. This development is driven by the need for greater scalability, faster processing, and improved bandwidth usage. The hybrid model, which combines the immediate processing capabilities of edge AI on cameras with the scalability and long-term data storage of the cloud, is emerging as the preferred approach by many. This balance allows organizations to harness the strengths of both technologies.
The integration of diverse data sources
Research respondents agreed that integrating additional sensory data, such as audio and contextual environmental factors, to complement video data will enhance situational awareness, provide deeper, more actionable insights, and offer a more comprehensive understanding of events. Ultimately, this will revolutionize safety and security while elevating business intelligence capabilities.
Combining multiple streams of data enables more accurate detection and prediction of potential threats. For instance, in emergency scenarios, pairing visual data with audio analysis can allow security teams to respond faster and more accurately.
The research also highlighted that facial recognition seems to have become more widely adopted in many countries, supported by the introduction of new regulations to help clarify how this technology can be applied ethically, and provide a framework for its responsible use.
Experts interviewed predicted that facial recognition will continue to gain traction globally, but there must first be alignment with privacy regulations and transparency about how the technology works. Ethical considerations around the use of facial recognition remain a central focus, particularly in regions with strong privacy laws.