In this rapidly changing environment, demand for transforming maintenance and reducing asset downtime are ever increasing. The increasing dependence on internet of things (IoT) and big data are increasing the focus of organizations to cut the operational costs, which is responsible to drive the predictive maintenance market. The predictive maintenance successfully reduces the operational costs.
A need to prevent the occurrence of breakdowns that lead to unplanned downtime of machinery which can be solved by predictive maintenance drives the predictive maintenance market. Observing the current trend and advancements the study indicates a sudden hike in predictive maintenance market. The predictive maintenance has many benefits as ability to maintain the uptime and good performance of the equipment, provide increased operational life and others which boosts the market. Whereas the higher requirement of skilled labor and lack of trust are restraining the Predictive Maintenance market.
The Predictive Maintenance Market is growing rapidly over 27% of CAGR and is expected to reach at USD 6334 million by the end of forecast period.
- IBM (U.S.),
- Rockwell Automation (U.S.),
- SAP SE (Germany),
- Software AG (Germany),
- General Electric (U.S.),
- Robert Bosch (Germany),
- PTC (U.S.),
- Warwick Analytics (U.K.),
- RapidMiner (U.S.),
- Schneider Electric SE (France),
- eMaint Enterprises, LLC (U.S.)
- SKF (Sweden)
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- Predictive maintenance vendors
- Resellers and distributors
- Technology investors
- System Integrators
- Government Organizations
- Research/Consultancy firms
Study Objectives of Predictive Maintenance Market:
- To provide detailed analysis of the market structure along with forecast of the various segments and sub-segments of the Predictive Maintenance market.
- To provide insights about factors affecting the market growth.
- To analyze the Predictive Maintenance market based porter’s five force analysis etc.
- To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- North America, Europe, Asia, and Rest of the World (ROW).
- To provide country level analysis of the market with respect to the current market size and future prospective.
- To provide country level analysis of the market for segment on the basis component, technique, deployment and end-user.
- To provide strategic profiling of key players in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market.
- To track and analyze competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments in the Predictive Maintenance
Access the market data and market information presented through more than 25 market data tables and 25 figures spread over 100 numbers of pages of the project report “Predictive Maintenance Market – Forecast to 2022”
Market Research Analysis:
Regional analysis for Predictive Maintenance market is studied in different geographic regions as Americas, Europe, Asia-Pacific and Rest of world. It has been observed that North America region would account for larger share in Predictive Maintenance market. The study indicates that North America region has high technological developments and high adoption of internet of things (IoT) and big data, this has resulted in the growth of predictive maintenance market in North America region.
The study reveals that Asia-Pacific region is expected to have a significant growth in predictive maintenance market by the forecast period. Asia-Pacific countries like China, India and Korea have high investments for improving efficiency of production assets, which has resulted as the primary growth driver for the Asia-Pacific region.
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List of Figures
FIGURE 1 Research Network Solution
FIGURE 2 Predictive Maintenance Market: By Component (%)
FIGURE 3 Predictive Maintenance Market: By Technique (%)
FIGURE 4 Predictive Maintenance Market: By Deployment (%)
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