1、Industry perspectives on the transformation of security,safety,business intelligence and operational efficiencyThe state of AI in video surveillanceREPORT|2025ContentsExecutive summary 3Introduction 4Methodology 5KEY FINDINGS Top trends impacting the future 79 insights:From the acceleration of cloud

2、 and edge AI to growing use of facial recognition 9Deep-dive:Responsible AI in video surveillance 15Conclusions 19Axis approach to AI 20 Appendix 21THE STATE OF AI IN VIDEO SURVEILLANCE|3Executive summaryAs AI continues to transform video surveillance,its potential to improve security and safety,ope

3、rational efficiency,and business intelligence is increasingly recognized.This report examines the key opportunities and challenges and expected future trends in these areas but also how responsible practices are becoming crucial for companies in relation to their use of AI.Drawing insights from qual

4、itative research as well as quantitative data sources,it outlines the possibilities and hurdles that AI poses.Themes such as the balance between cloud and edge computing,ethical considerations,customer expectations,and the need for collaboration emerge.Looking ahead,AI in security,safety,and beyond

5、will likely focus on generative AI,integrated capabilities,smarter AI systems,and deeper IoT integration,while also navigating complex ethical and privacy issues.Key insights identifiedAI adoption surges with differences between markets The transition to cloud and edge AI continues to accelerate Int

6、egration of diverse data generating insightsGrowing use of facial recognitionNew opportunities for business intelligence and operational efficiencyAI integration challenges bridging expectations and capabilitiesPartnership and collaboration to enable AI integrationNavigating responsible AI The road