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Sensors are transforming bearings from purely mechanical parts to intelligent, connected components. Sensored bearings capture internal measurements – load, temperature, vibration, speed and kinematic behavior – giving operators earlier, more accurate visibility into the condition of rotating equipment.
Real-time data detects problems early, enables proactive maintenance and reduces the risk of unplanned downtime. SKF, the Swedish industrial giant, is a pioneer in bringing sensors and AI to bearings. It has linked software systems to moving parts inside machines to bring instant information deep within the manufacturing process.
SKF’s condition-monitoring devices track parameters such as vibration and temperature to support earlier intervention and extend uptime. Measuring directly inside the bearing – rather than relying solely on external signals – enables tighter process control, optimized lubrication and earlier wear detection in demanding applications such as machine tools and grinding mills.
Sensors in bearings are an engineering challenge: they must provide reliable data without degrading core bearing performance. Interpreting the signals requires in-depth knowledge of bearing materials, tribology (the science of contact of surfaces in relative motion) and lubrication. Sensing solutions must fit within the constraints of the existing space, withstand harsh environments and electromagnetic interference. The sensor must also tolerate industrial conditions such as high speed, heat and contamination while providing stable, meaningful measurements over time. For example, SKF’s Insight tool integrates fiber-optic sensors inside bearings to directly monitor load, vibration, temperature, and speed.
As industries adopt automation, advanced digital infrastructure and precision speed, SKF says it is expanding into related areas such as robotics and data centers. These applications demand greater reliability, efficiency and uptime. In robotics this means compact, high-precision bearings that support complex motion and long lifecycles. A priority in data centers is energy-efficient cooling, where magnetic bearings reduce friction, wear and energy use and enable oil-free, more reliable installations.
Sensored bearings have applications in all sectors including rail, electric drives, food and beverage, aerospace, agriculture, mining, metals, machine tools and industrial electrification. SKF says more than 90 percent of its research investments target these high-growth areas to link innovation to market demand. “India represents an important growth market for SKF as it combines growing industrial demand with a strong local operating base,” says Annika Olme, SKF Chief Technology Officer, in a video conversation.
SKF India is investing in manufacturing, digitalization, customer experience and innovation, enabling the company to take advantage of the opportunities associated with localization and growing demand for efficient and reliable rotating-equipment solutions. “SKF’s expansion into new growth markets and geographies is closely aligned with its overall strategy focused on focusing on target growth markets, accelerating innovation leadership and leveraging business-driven value chains,” says Olme.
According to a report by Market Research Future, the sensor-bearing industry is projected to grow from $8.731 billion in 2025 to $15.67 billion by 2035. Its value in 2024 was $8.235 billion. “An increasing emphasis on energy efficiency is shaping the sensor-bearing market. Manufacturers are prioritizing the design of bearings that not only perform better but also consume less energy,” the report said.
From bicycles to two-legged robots, smart bearings will continue to drive the world forward.
The author is an economic analyst and writer
