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AI robots could soon dominate GCC industries

AI-powered robots are poised to revolutionize industrial operations in the GCC, with numerous local businesses introducing cutting-edge AI robots for commercial use. According to a report from Global Information Inc, a US-based market intelligence provider, this trend is expected to drive the GCC inspection robots market to grow at a remarkable rate of 18.88%, soaring from $6.26 billion in 2022 to a staggering $25 billion by 2030.

In the UAE, various entities and government departments have initiated trials and limited-scale deployments of robots, but the industrial landscape is on the brink of a massive transformation with the widespread adoption of industrial robots. Sigma Enterprises, a UAE-based energy industry solutions provider, has also inked a partnership with ANYbotics to deploy large-scale inspection robots in the burgeoning energy sector of the UAE, further automating the industrial landscape.

The UAE government is actively promoting the integration of Artificial Intelligence and robotics across industries, aiming to enhance efficiency, agility, and sustainability. Globally, the robotics technology market has seen substantial growth, with a valuation of $62.75 billion in 2019, projected to reach $189.36 billion by 2027. This surge is driven by the increasing demand for automation and safety measures in organizations, coupled with the availability of cost-effective, energy-efficient robots, as per a report from the UAE Ministry of Economy.

A spokesperson from Global Information Inc (GII) highlighted the critical role of inspection robots in monitoring manufacturing processes, pipelines, transportation networks, and other activities. These robots can explore and collect data on items and locations that are inaccessible to the human eye. Importantly, inspection robots also enhance worker safety by eliminating the need for physical inspections in hazardous or risky environments. Additionally, they enable the efficient organization, analysis, and reporting of data gathered during the monitoring process, further underscoring their significance in the industrial landscape.

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