AUTOMATION AND ROBOTICS
Trends and drivers
A key trend fuelling the growth of industrial robots is the rise of collaborative robots( cobots)— robots designed to safely work alongside humans in shared workspaces. Cobots are particularly useful in assembly lines, packaging and material handling, where human-robot collaboration can improve efficiency and reduce strain on human workers.
“ These robots are built for precision in repetitive tasks while enhancing workplace safety. Furthermore, artificial intelligence( AI) and machine learning( ML) are revolutionising industrial robotics, enabling AI-driven decisionmaking and predictive maintenance, which helps to minimise downtime and extend the lifespan of robotic systems,” said analyst, Future Market Insights.
“ Another major market driver is the rising demand for flexible and customisable robotic solutions. As manufacturing evolves, companies seek robots that can be reprogrammed and adapted for different processes. This adaptability allows manufacturers to respond quickly to shifting production needs, ultimately improving competitiveness and operational agility,” it continued.
The industrial robotics market is expected to witness a surge in demand due to increasing labour shortages, cost-efficiency measures and advances in technology, said the analyst. As industries strive to reduce operational costs and enhance productivity, the use of robotics is becoming more prevalent across various sectors, including manufacturing, automotive, healthcare, and logistics. The growing shift towards automation and digitalisation is expected to drive innovations in robotic technology, further expanding market opportunities.
Artificial intelligence( AI) and machine learning( ML) are revolutionising industrial robotics, enabling AIdriven decision-making and predictive maintenance
“ AI-powered robots are transforming industrial operations by enabling predictive analytics, real-time decision-making and adaptive learning. With AI integration, robots can analyse vast amounts of data, detect patterns and make autonomous decisions to optimise workflows. These intelligent robots enhance manufacturing precision, reduce errors and adapt to changing production requirements. AI-driven robotics is especially beneficial in high-tech industries such as electronics, pharmaceuticals and aerospace, where precision and quality control are critical,” added Future Market Insights.
Advances in machine learning
Machine learning is enhancing the capabilities of industrial robots, allowing them to self-optimise, adapt to new tasks and improve precision over time.
“ With the ability to learn from data and experiences, robots can refine their operations, improve quality control and reduce the need for constant human intervention. These advancements are particularly useful in industries requiring precision such as semiconductor manufacturing, pharmaceuticals and logistics. Machine learning-enabled robots can handle complex assembly tasks, detect defects and optimise workflows for maximum efficiency,” said Future Market Insights.
“ Industrial robots contribute to improved productivity by minimising human errors, increasing precision and operating at high speeds. By automating repetitive and labourintensive tasks, robots free up human workers to focus on higher-value activities. This shift not only boosts efficiency but also enhances workplace safety and reduces the risk of occupational injuries. Robots are being used across various industries to streamline operations and improve overall production output. The continued evolution of robotics technology is expected to drive even greater efficiency gains in the coming years,” concluded the analyst. n
42 | ismr. net | ISMR October 2025