Global Predictive Maintenance in the Energy Market Analysis, Growth, Trends & Forecast 2018-2023 - ResearchAndMarkets.com

DUBLIN--()--The "Global Predictive Maintenance in the Energy Market - Segmented by Offering, by Deployment Model, by Organization size, and Geography - Growth, Trends, and Forecast (2018 - 2023)" report has been added to ResearchAndMarkets.com's offering.

The market for predictive maintenance in the energy sector is projected to register a CAGR of 31.6% during the forecast period, 2018-2023.

With the demand for energy growing at 2.3% year-on-year, the investments in the sector have been on the rise. Organizations and governments are encouraging new technologies that improve efficiency and optimize resource consumption. The adoption rates of automation and IoT technologies in the energy sector have been observed to be high in comparison with other industries. The emerging nations have also been found to be projecting a positive growth trend in the infrastructure development.

Penetration of cloud technologies in industries has led to increase in demand for cloud-based deployment. Flexibility and on-demand pricing models are attracting SMEs toward cloud-based solutions. With most of the companies in the sector being first time consumers, many end-users have been anticipating the use of cloud predictive maintenance solutions. Large enterprises also moving toward cloud-based platforms, with increasing focus on cost savings and reliability.

Many European countries have been investing heavily in the energy sector, with renewable energy being the primary focus of many countries. European industries have been financing clean-energy sources, to reduce the carbon emissions and increase the efficiency of energy infrastructure. Predictive maintenance solutions, are thus, finding increasing interest among the consumers in the European market.

Companies Mentioned

  • IBM Corporation
  • SAP SE
  • Siemens Ltd
  • Microsoft Corporation
  • GE Automation & Control
  • Intel Corporation
  • Robert Bosch GmbH
  • Accenture PLC
  • ABB Ltd
  • Schneider Electric

Key Topics Covered:

1. Introduction

2. Research Approach and Methodology

3. Market Insights

4. Market Dynamics

5. Global Predictive Maintainance in the Energy Sector Market - Segmentation

6. Competitive Intelligence - Company Profiles

7. Investment Analysis

8. Outlook of Predictive Maintainence in the Energy Sector

For more information about this report visit https://www.researchandmarkets.com/research/d5pxvt/global_predictive?w=4

Contacts

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Laura Wood, Senior Manager
press@researchandmarkets.com
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For GMT Office Hours Call +353-1-416-8900
Related Topics: Industrial Automation

Contacts

ResearchAndMarkets.com
Laura Wood, Senior Manager
press@researchandmarkets.com
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
Related Topics: Industrial Automation