Also, barrier systems enable access for vehicles and pedestrians at crossing points to avoid accidents. Numerous vendors offer high-security barrier systems, which are used in vehicle access control systems to protect critical infrastructure and stop projectile impacts. Barrier systems also include trigger loops and timers to help reduce traffic congestion. Furthermore, the monitoring and access control systems ensure that the property and assets are protected from thieves.These are additional factors would further supplement the growth of the market during the forecast period.

The integration of Internet of Things (IoT) and connectivity has been revolutionising the barrier systems market. Introducing smart sensors, cloud computing, and wireless communications into the barriers has enabled real-time remote monitoring. The connectivity enables industrial processes and systems for automated responses and predictive maintenance. Further, complex industrial processes have increased demand for friendly user interfaces, graphical interfaces, simplified controls, and ergonomics designs of industrial barrier systems. The focus on integrating barrier systems with automation and robotics to minimize human intervention and increase worker safety and efficiency has also been growing Additionally, the real-time collected data from barrier systems helps analyse the patterns, optimise operations, and improve safety and efficiency across the industrial facility. These factors would further supplement the growth of the barrier systems industry during the forecast period.

Machine learning and AI

The integration of Machine Learning (ML) and Artificial Intelligence (AI) is another major trend in the barrier systems market, gaining traction among customers. AI and ML algorithms can analyse vast data collected from barrier systems. Identifying patterns, potential risks, and anomalies enables proactive maintenance, predictive maintenance analytics, and adaptive responses in changing conditions. AI algorithms can detect abnormal behaviour, which includes unusual traffic patterns, which would trigger appropriate actions such as lockdown procedures, among others. ML algorithms can learn historical data for optimising barrier system performance, which includes providing real-time monitoring, enhancing security, and contributing towards industrial facilities' overall efficiency. These factors would further supplement the growth of the market during the forecast period.

Some of the key indicators cited by the analysts are as follows:

• The guardrails segment is expected to register a CAGR of 8.0% from 2023 to 2030. 

• The active barriers segment is expected to register a CAGR of 6.7% from 2023 to 2030.

• The biometric systems segment is expected to register a CAGR of 7.4% from 2023 to 2030. 
  

• The non-metal segment is expected to register a CAGR of 6.5% from 2023 to 2030. 

• The transportation segment is expected to register a CAGR of 7.2% from 2023 to 2030. 

• Europe is anticipated to emerge as the fastest-growing region over the forecast period at a CAGR of 7.5%.