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By solutions, the predictive asset management segment to grow at the highest CAGR during the forecast period.
Predictive asset maintenance is a type of maintenance that monitors the condition of assets using sensors. These sensors supply real-time data, which can be used to predict the timeline for asset maintenance, preventing equipment failure. It is a method used for preventing asset failures by analyzing the production data to identify patterns and predict issues before occurrence. Predictive asset maintenance further allows the maintenance frequency to be as low as possible to prevent unplanned reactive maintenance without incurring costs associated with performing several preventive maintenance activities. Predictive Asset Analytics helps organizations gain the highest return on critical assets by supporting PdM programs with early warning detection of equipment issues ahead of the existing operational alarms.
By vertical, manufacturing vertical is expected to hold the largest market share in 2023.
Asset-intensive organizations across the manufacturing vertical with heavy machinery are seeking to make their operations more efficient, reliable, and safer. Deploying AI and the IIoT within a process manufacturing environment can deliver a number of business benefits for companies with asset performance management capabilities. More manufacturers are adopting digital transformations through IIoT technology, with the move from metrics to analytics leading the way. The manufacturing sector has seen a variety of new analytics applications launched over the past three to five years, including a strong focus on asset performance management and other maintenance-related processes. Asset performance management solutions provide near real-time visibility into the condition of each industrial asset, which enables maintenance teams to minimize downtime.
By Region, Asia Pacific is expected to grow at the highest CAGR during the forecast period.
Asia Pacific is among the major digital hubs of the world. Businesses in the region have been quick to identify the benefits of cloud technology as a facilitator of digital transformation. Countries such as China, Japan, Australia, Singapore, India, and Indonesia are leading this technology adoption, which includes embracing new-age technologies such as AI, edge, IIoT, analytics, and cloud. According to the Global System for Mobile Communications Association (GSMA), countries in Asia Pacific have established frameworks on a national level, recognizing the potential of Industry 4.0 to help prepare economic structures for greater productivity and resilience. This will be crucial in the efforts by governments to stimulate economic recovery and build resilient economies for the future. Most government agencies and industry players expect Industry 4.0 objectives to be delivered within the next five years. This will rely on effective regulatory frameworks, such as making a new spectrum available for enhanced connectivity and increasing innovations in new solutions leveraging AI, IIoT, ML, AR, and digital twin technologies.
Some of the key players operating in the asset performance management market are – AVEVA (UK), SAP (Germany), GE Digital (US), IBM (US), ABB (Switzerland), Emerson (US), Bentley Systems (US), Rockwell Automation (US), Fluke (US), and DNV (Norway).
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