01 Rising Adoption of Smart Asset Management in End-User IndustriesThe demand for improved asset management is continuously increasing across all industry verticals. Maintaining the highest possible product quality is always the priority of the manufacturers. However, if the equipment is not maintained correctly, it may result in product failures that prevent the product from being recalled. Equipment is routinely inspected to avoid malfunctions and unnatural shutdowns that ignore such errors. In addition, condition-based monitoring helps manufacturers achieve high product quality by detecting equipment with various parameters. These parameters are combined and analyzed using advanced machine learning and algorithms and consequently provide insights for machine health monitoring.Production processes are constantly changing in the automotive industry, which is one of the most important ones. Deploying a machine health monitoring system is witnessed as a better technique for enhancing production capability by reducing machine downtime. Temperature variation in welding machines is the fundamental cause of those defects. This can be avoided by monitoring the machine with temperature analysis and reducing the final product defect. Hence, endorsement of such management practices can help to boost the market.
02 Growing Adoption of Smart ManufacturingConsumer and business acceptance of advanced technology devices has been steadily increasing. Furthermore, implementing monitoring devices across various end-user industries has been fueled by the adoption of Industry 4.0 and a favorable regulatory landscape for innovative manufacturing environments. The German government invested approximately USD 550 billion in 2020 to adopt the "industry 4.0" concept and smart manufacturing methods within the country.Monitoring machine performance is identified as the primary step for adopting industrial IoT. To gain an advantage in machine-to-machine communication capabilities, monitoring the machine becomes essential in improving the overall performance and generating a high return on investment. So, the growth of the studied market is likely to be driven by the adoption of smart manufacturing methods by different industries during the forecast period.
01 Lack of Skilled ProfessionalsThe shortage of skilled labor and the challenges associated with upgrading the existing workforce is expected to inhibit market growth. The aging workforce and a decline in the number of workers are two of the most significant factors directly affecting the shortage of skilled labor. Adding fuel to the situation, millennials' perceptions toward starting their career in the manufacturing industry remain low. Major manufacturers are spending money on training programs to improve the skills of their current workers so they can keep up with demand. Additionally, depending on a third party to close the demand gap is frequently expensive and ineffective. The shortage of skilled technicians for analyzing the machines' data and budget constraints among small and medium industries limit the adoption of machine health monitoring techniques within their premises. Using the wrong maintenance techniques wastes time, money, and resources, ultimately restraining market growth.
01 Growing Adoption of Wireless Communication for Machine Health MonitoringMachine-to-machine communication is seen as the backbone of industrial automation. As wireless communication modules have improved, more people are using machine health monitoring. Remote configuration and data transfer are limited by the small number of wires and single-channel communication. Most of the time, the constant movement of the machine parts puts a lot of pressure on the attached cables. Wireless communication has gained significant traction across the industry due to the immediate need to address such challenges. One of the main reasons these technologies are gaining popularity is that wireless communication is simple to set up and does not prevent machines from performing their necessary tasks.The introduction of the 5G network is also expected to boost the machine health monitoring market growth by supporting advanced machine communication and monitoring methods. Recent findings by straits research state that by the end of 2023, approximately 1.5 billion devices will have 5G capabilities across their network operations. Strong internet use in developing economies and the use of cloud technology for remote monitoring are both things that could help the market grow.
June 2026 SKF launched the next-generation SKF Enlight ProCollect platform, integrating AI-powered vibration analysis and predictive maintenance capabilities to help manufacturers detect machine faults earlier and reduce unplanned downtime.
April 2026 Schaeffler expanded its OPTIME Ecosystem with advanced wireless condition monitoring sensors and cloud-based diagnostics, enabling continuous health monitoring of rotating equipment across industrial facilities.
October 2025 ABB introduced an enhanced ABB Ability™ Smart Sensor platform featuring AI-driven analytics and remote asset monitoring to improve equipment reliability and maintenance planning.
June 2025 Emerson launched an upgraded AMS Machine Works platform with advanced predictive diagnostics and automated asset health reporting for industrial rotating machinery.