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エネルギー産業における予知保全の世界市場:提供形態別(ソリューション、サービス)、導入モデル別(オンプレミス、クラウド)、組織の規模別(中小企業(SME)、大企業)、地域別分析

• 英文タイトル:Global Predictive Maintenance in the Energy Market - Segmented by Offering (Solutions and Services), by Deployment Model (On-premise and Cloud), by Organization size (Small and Medium Enterprise (SME) and Large Enterprise), and Geography - Growth, Trends, and Forecast (2018 - 2023)

Mordor Intelligenceが調査・発行した産業分析レポートです。エネルギー産業における予知保全の世界市場:提供形態別(ソリューション、サービス)、導入モデル別(オンプレミス、クラウド)、組織の規模別(中小企業(SME)、大企業)、地域別分析 / Global Predictive Maintenance in the Energy Market - Segmented by Offering (Solutions and Services), by Deployment Model (On-premise and Cloud), by Organization size (Small and Medium Enterprise (SME) and Large Enterprise), and Geography - Growth, Trends, and Forecast (2018 - 2023) / B-MOR-05339資料のイメージです。• レポートコード:B-MOR-05339
• 出版社/出版日:Mordor Intelligence / 2018年4月
• レポート形態:英文、PDF、99ページ
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• 産業分類:ICT
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レポート概要
本資料は、エネルギー産業における予知保全の世界市場について調べ、エネルギー産業における予知保全の世界規模、市場動向、市場環境、提供形態別(ソリューション、サービス)分析、導入モデル別(オンプレミス、クラウド)分析、組織の規模別(中小企業(SME)、大企業)分析、アメリカ市場規模、ヨーロッパ市場規模、アジア市場規模、日本市場規模、中国市場規模、産業バリューチェーン分析、関連企業情報などをまとめた調査レポートです。
・イントロダクション
・エグゼクティブサマリー
・エネルギー産業における予知保全の世界市場インサイト
・エネルギー産業における予知保全の世界市場環境
・エネルギー産業における予知保全の世界市場動向
・エネルギー産業における予知保全の世界市場規模
・エネルギー産業における予知保全の世界市場規模:提供形態別(ソリューション、サービス)
・エネルギー産業における予知保全の世界市場規模:導入モデル別(オンプレミス、クラウド)
・エネルギー産業における予知保全の世界市場規模:組織の規模別(中小企業(SME)、大企業)
・エネルギー産業における予知保全の世界市場:地域別市場規模・分析
・エネルギー産業における予知保全の北米市場規模・予測
・エネルギー産業における予知保全のアメリカ市場規模・予測
・エネルギー産業における予知保全のヨーロッパ市場規模・予測
・エネルギー産業における予知保全のアジア市場規模・予測
・エネルギー産業における予知保全の日本市場規模・予測
・エネルギー産業における予知保全の中国市場規模・予測
・エネルギー産業における予知保全のインド市場規模・予測
・関連企業情報・競争状況

The market for predictive maintenance in the energy sector is projected to register a CAGR of 31.6% during the forecast period (2018 – 2023). The scope of this report is limited to segments which include, offering, solution and services, deployment model on-premise and cloud, and organization size comprising of small & medium enterprise (SME) and large enterprises. The regions considered in the scope of the report include – North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa.

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. With maintenance being one of the critical components in the energy sector, the industry has been researching new technologies to streamline maintenance efficiency and costs. Predictive maintenance is, thus, finding increasing interest with industries and is already witnessing positive outcomes from the technology.

Cloud Predictive Maintained Witnessing Rapid Growth in the Market

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. With many players entering the market and pushing cloud as the primary platform, the market is projected to witness a sharp increase in demand during the forecast period.

Europe to be Key Market

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. With this region being one of the pioneer markets for the adoption of automation and analytics, the consumption of predictive maintenance solutions is projected to grow in the market. With increase investments in energy sector, Asia-Pacific is also expected to project fast growth rate in the coming years.

Key Developments in the Market

• Apr 2018 – Sempra renewables selected Ensemble Energy’s predictive analytics platform to improve wind energy production at lower operating costs. This extended pilot program is expected to draw interest among other energy companies to explore predictive maintenance.
• Mar 2018 – Capgemini announced a partnership with Statoil to deliver innovative digital solutions in the energy sector. The agreement covers a range of specialist digital solutions, which also includes predictive maintenance.

Major Players :IBM CORPORATION, SAP SE, SIEMENS LTD, MICROSOFT CORPORATION, GE AUTOMATION & CONTROL, INTEL CORPORATION, ROBERT BOSCH GMBH, ACCENTURE PLC, ABB LTD, amongst others.

Reasons to Purchase this Report

Current and future predictive maintenance market outlook in the developed and emerging markets.
• Analyzing various perspectives of the market with the help of Porter’s five forces analysis.
• The segment that is expected to dominate the market.
•Regions that are expected to witness fastest growth during the forecast period.
• Latest developments, market shares, and strategies employed by the major market players.
•3 months analyst support, along with the Market Estimate sheet (in excel).

Customization of the Report

• This report can be customized to meet your requirements. Please connect with our representative, who will ensure you to get a report that suits your needs.

レポート目次

1. Introduction

1.1 Scope of the Study

1.2 Executive Summary

2. Research Approach and Methodology

2.1 Key Deliverables of the Study

2.2 Study Assumptions

2.3 Analysis Methodology

2.4 Research Phases

3. Market Insights

3.1 Market Overview

3.2 Industry Attractiveness – Porter’s Five Forces Analysis

3.2.1 Bargaining Power of Suppliers

3.2.2 Bargaining Power of Consumers

3.2.3 Threat of New Entrants

3.2.4 Threat of Substitutes

3.2.5 Intensity of Competitive Rivalry

3.3 Industry Value Chain Analysis

4. Market Dynamics

4.1 Market Drivers

4.1.1 Increasing Investments in the Energy Sector

4.1.2 Increasing Adoption of Automation

4.1.3 Cost savings

4.2 Market Restraints

4.2.1 Lack of Resources & Skilled labour

4.2.2 High Deployement Cost

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

5.1 By Offering

5.1.1 Solution

5.1.2 Services

5.2 By Deployment Model

5.2.1 On-Premise

5.2.2 Cloud

5.3 By Organization Size

5.3.1 Small & Medium Enterprise (SME)

5.3.2 Large Enterprise

5.4 By Region

5.4.1 North America

5.4.1.1 US

5.4.1.2 Canada

5.4.2 Europe

5.4.2.1 UK

5.4.2.2 Germany

5.4.2.3 France

5.4.2.4 Rest of the Europe

5.4.3 Asia-Pacific

5.4.3.1 China

5.4.3.2 Japan

5.4.3.3 India

5.4.3.4 Rest of the Asia-Pacific

5.4.4 Latin America

5.4.4.1 Mexico

5.4.4.2 Brazil

5.4.4.3 Argentina

5.4.4.4 Rest of the Latin America

5.4.5 Middle East & Africa

5.4.5.1 Saudi Arabia

5.4.5.2 UAE

5.4.5.3 South Africa

5.4.5.4 Rest of the Middle East & Africa

6. Competitive Intelligence – Company Profiles

6.1 IBM Corporation

6.2 SAP SE

6.3 Siemens Ltd

6.4 Microsoft Corporation

6.5 GE Automation & Control

6.6 Intel Corporation

6.7 Robert Bosch GmbH

6.8 Accenture PLC

6.9 ABB Ltd

6.10 Schneider Electric

*List is not Exhaustive

7. Investment Analysis

8. Outlook of Predictive Maintainance in the Energy Sector