Predictive Maintenance for Manufacturing Market size is expected to expand at significant growth rate during the forecast period i.e., between 2024-2036.
Extensive research associated with predictive maintenance for manufacturing in western countries, along with growing need to reduce maintenance cost and downtime are expected to fuel the progress of predictive maintenance for manufacturing market. The growth of the market can also be attributed to factors such as increase in investments in predictive maintenance in industries as a result of IoT adoption. Moreover, lack of employees and personnel, coupled with global supply chain disruption as well as high demand for various goods during the COVID-19 pandemic encouraged companies to take extra care of their manufacturing equipment and machinery to increase output. This resulted in a surge in demand for predictive maintenance solutions across the globe. However, many companies have started to use smart sensors, advanced artificial intelligence systems, and other Industry Internet of Things (IIoT) solutions to track health and efficiency of vital machinery used in their manufacturing process to avoid costly production downtimes.
Predictive maintenance techniques are formed to determine the condition of in-service equipment in order to estimate when maintenance should be performed. This approach confirms cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted. It is likely to be influenced by a range of political, economic, social, technical, and industry-specific factors.
Growth Drivers
Challenges
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Base Year |
2023 |
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Forecast Year |
2024-2036 |
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Regional Scope |
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The predictive maintenance for manufacturing market is segmented based on component into software and services, out of which, the software segment is anticipated to grab the largest share by the end of 2020, improvement of safety in factories is one of the primary concerns of the manufacturing industry. Furthermore, machine breakdowns are also causing severe production loses in the manufacturing industry. Demand for better safety, reduction of costs and machine utilization are driving the global predictive maintenance for manufacturing market for manufacturing predictive analytics.
On the basis of Technology, the predictive maintenance for manufacturing market is segmented into machine learning, deep learning, big data and analytics. Out of which machine learning is estimated to grab the largest market share during the forecast period 2024-2036. Manufacturers are adopting machine learning based predictive maintenance. It depends on large amount of historical or test data, along with tailored machine-learning algorithms, to test different scenarios and predict the errors in the system. Then it generates the alerts accordingly. When properly designed and implemented, a machine learning algorithm will learn the typical data’s behavior and identify deviation in real-time. A machine monitoring system will comprise input about diverse temperatures, engine speed, and others. The system can then predict the time of the breakdown. Additionally, big data analytics is projected to grab the substantial market share owning to the increasing technological advancement and dealing with the large data securely. As, the data security is one of the major concern for any organisation. Today the adoption big data technology is high because it is cost efficient, provide accurate results, and facilitates to analyse the large data set innovatively. Moreover, the interpretation helps the organisations in booting their sales and retaining customer loyalty.
Our in-depth analysis of the global predictive maintenance for manufacturing market includes the following segments
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By Product Type |
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By Technology |
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North America Market Statistics
Geographically, the predictive maintenance for manufacturing market is segmented into North America, Latin America, Europe, Asia Pacific and the Middle East & Africa region. North America industry is anticipated to hold largest revenue share by 2036, driven by rising investments in emerging technologies such as IoT, AI, and ML, increasing presence of predictive maintenance vendors, and growing government support for regulatory compliance.
APAC Market Analysis
The rising investments in emerging technologies such as IoT, AI, ML, the increasing presence of predictive maintenance vendors, and growing government support for regulatory compliance are the major factors expected to contribute to the market growth during the forecast period, while Asia Pacific is expected to grow at the highest CAGR during the forecast period. In APAC, the highest growth rate can be attributed to the massive investments made by private and public sectors for enhancing their maintenance solutions, resulting in an increased demand for predictive maintenance solutions used for automating the maintenance and plant safety process.
Author Credits: Abhishek Verma
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