The predictive maintenance market for manufacturing industry has witnessed an upsurge in the past four years with the introduction of advanced technologies such as Big Data & analytics, machine learning, deep learning, and artificial intelligence. As a result of the increasing adoption of these advanced technologies, a transition from on-premise deployment models to cloud is witnessed in the global predictive maintenance market for manufacturing industry.
Based on the deployment model, the predictive maintenance market for manufacturing industry is subsegmented into on-premise and cloud. In 2017, on-premise segment is expected to dominate the predictive maintenance market for manufacturing industry. However, the cloud segment is expected to exhibit a higher double-digit growth rate during the forecast period in the global predictive maintenance market for manufacturing industry owing to the increasing demand for adopting cloud technology across all the regions.
In 2018, the global Predictive Maintenance for Manufacturing market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Predictive Maintenance for Manufacturing status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Predictive Maintenance for Manufacturing development in United States, Europe and China.
The key players covered in this study
Robert Bosch GmbH
Market segment by Type, the product can be split into
Market segment by Application, split into
Aerospace & Defense
Machinery & Equipment
Market segment by Regions/Countries, this report covers
Central & South America
The study objectives of this report are:
To analyze global Predictive Maintenance for Manufacturing status, future forecast, growth opportunity, key market and key players.
To present the Predictive Maintenance for Manufacturing development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Predictive Maintenance for Manufacturing are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.