• i-PRO Co., Ltd. is highlighting four interconnected trends expected to reshape how businesses, integrators, and security professionals approach security in the coming year
• These insights showcase the transformative roles of edge computing, artificial intelligence (AI), cloud computing expansion, and data integration
• In 2025, edge AI will deepen its impact, with advanced algorithms facilitating real-time threat detection and on-site learning

As the physical security industry looks towards 2025, i-PRO Co., Ltd. (formerly Panasonic Security) is highlighting four interconnected trends expected to reshape how businesses, integrators, and security professionals approach security in the coming year. These insights showcase the transformative roles of edge computing, artificial intelligence (AI), cloud computing expansion, and data integration.

Edge AI is transforming the security landscape by enabling systems to shift from reactive to proactive approaches. This development allows organisations to address incidents before they escalate, enhancing safety and operational efficiency.

However, deploying AI technology must balance innovation with responsibility, ensuring ethical use, privacy, and transparency as data becomes more integrated into security solutions. In 2025, edge AI will deepen its impact, with advanced algorithms facilitating real-time threat detection and on-site learning.

Hideo Noguchi, CTO at i-PRO, noted that moving away from the one-size-fits-all model of security, AI-enabled video cameras will provide customised functionality for each organisation.

Modern AI security systems generate vast amounts of data, so the challenge for 2025 will be effectively filtering and integrating this data. AI will summarise and contextualise information, allowing operators to focus on actionable insights. While AI can suggest actions based on data patterns, human decision-makers will remain vital in interpreting these insights.

Gerard Figols, Chief Product Officer of i-PRO, emphasised that data integration is crucial, stating that security systems must enable a seamless flow of information between devices and platforms. Visualisation tools will present data intuitively, empowering quicker informed decisions.

Cloud computing will continue to offer flexibility, but rising costs and latency issues will highlight the importance of edge computing. By processing data locally within the camera, edge computing improves response times and data accuracy, reducing reliance on cloud infrastructure.

Advancements in chipsets, like those from Ambarella, are set to unlock generative AI capabilities at the edge, allowing systems to anticipate and simulate potential threats.

As AI capabilities grow, the industry must prioritise ethical practices and robust cybersecurity.