The global market for remote operations was valued at $403 million in 2022, and is expected to grow dramatically to reach $3.19 billion by 2032, with a compound annual growth rate (CAGR) of 23.1%. This impressive growth is driven by several factors, such as the growing adoption of industrial automation, demand for unmanned vehicles, the development of autonomous vehicles, and emerging trends in smart manufacturing and Industry 4.0.

The drivers of this transformation: AI, 5G and advanced sensors

The advancement of remote operation is closely linked to artificial intelligence (AI) and machine learning, which, when integrated, enable predictive analytics, autonomous decision-making, and adaptive control systems. Additionally, improved connectivity through networks such as 5G and low-latency communication technologies has enabled more seamless, secure and real-time remote operation. In parallel, advances in computer vision and sensors are opening up new possibilities for increasingly sophisticated applications, such as remote control of robotic arms for complex manual tasks.

Key applications of remote operation

Remote operation is already being successfully implemented in various industries. In logistics, for example, unmanned vehicles, such as forklifts, robots and autonomous trucks, are optimizing loading and unloading processes, improving efficiency and reducing occupational risks. In the healthcare sector, remote surgeries and remote patient care are becoming a reality, offering greater access and precision. In mining, remote operation of heavy machinery in hazardous environments is improving worker safety. Likewise, the automotive industry uses tele-robotics to perform quality testing and manage autonomous vehicles. In agriculture, robots are monitoring crops and carrying out spraying, while in space exploration, remote operations allow astronauts to explore and repair equipment in inaccessible places.

In the energy industry, asset inspection is one of the main application fields of remote operation. Using drones and autonomous systems, companies can carry out inspections of critical infrastructure, such as solar plants, wind farms and transmission networks, efficiently and safely. These systems allow failures or possible problems to be identified without putting operators at risk, optimizing response times and reducing operating costs.

At Uali we combine drones with artificial intelligence to provide accurate and actionable data to the energy industry. We inspect the security of our clients' assets, which optimizes the decision-making process and generates a positive environmental impact. Get to know us!