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予測メンテナンスレポート 2019-2024年

Predictive Maintenance Report 2019-2024

 

出版社 出版年月電子版価格 ページ数
IoT Analytics GmbH
IoTアナリティクス
2019年6月US$4,000
チームライセンス(5名まで・PDF+Excel)
136

サマリー

この調査レポートは世界の予測メンテナンス市場を調査し、技術、産業、地域毎の市場規模、2019年から2024年までの市場予測、関連企業情報などを提供しています。

主な掲載内容(目次より抜粋)

  1. 予測メンテナンス概説
  2. 技術
  3. 市場規模と展望
    1. 市場全体と促進要因全般
    2. 技術別市場
      1. ハードウェア
      2. コネクティビティ
      3. プラットフォーム
      4. ストレージ
      5. アナリティクス
      6. アプリケーション
      7. システムインテグレーション&サービス
    3. 産業別市場
      1. 自動車・輸送
      2. 建物
      3. 化学品
      4. 消費財
      5. エネルギー
      6. ヘルスケア
      7. 機械
      8. 金属&鉱業
      9. 石油・ガス
      10. ディスクリート
      11. パルプ&紙業
      12. 上下水道
      13. その他
    4. 地域別市場
      1. アジア太平洋地域
      2. 欧州
      3. MEA
      4. 北米
      5. 南米
  4. 競争環境
  5. ビジネスモデルとケーススタディ
  6. 動向と課題
  7. メソドロジーと定義

Comprehensive 136-page industry report detailing the $23.5B Predictive Maintenance market including:

  • Market forecast 2019 to 2024
  • Market size by technology, industry and region
  • Database of 110+ real world predictive maintenance projects
  • Database of 180+ predictive maintenance providers
  • 8 Market drivers & characteristics
  • 9 Company profiles, detailing leading vendors
  • 9 Case studies of recent deployments
  • 11 Industry trends
  • 10 Challenges/barriers to adoption
  • Business Model analysis
  • And More

Description

Predictive Maintenance Report 2019-2024

This predictive maintenance market report details the fastest growing use case for the Internet of Things. 

FIND OUT:

  • How the market is developing in 13 key industries
    (Automotive & Transport, Buildings, Chemicals, Consumer Products, Energy, Healthcare, Machinery, Metals & Mining, Oil&Gas, Discrete Other, Pulp & Paper, Water & Wastewater, and Other)
  • How Predictive Maintenance solutions are being implemented today (9 detailed use cases and list of 110+ real world projects)
  • What the 11 current main trends are
  • How the 9 leading Predictive Maintenance companies compare and how they fit into the landscape of 180+ PdM technology vendors
  • Regional Market Split for 2018 to 2024
  • How OEMs monetize Predictive Maintenance and what the corresponding services look like

QUESTIONS ANSWERED IN THIS REPORT:

  • What is Predictive Maintenance? ( i.e., a Predictive Maintenance definition)
  • Which technologies are used for PdM (including a sensing and analytics technology deep-dive)?
  • What are the examples of PdM vendors and PdM case studies?
  • Which new business models does PdM allow?
  • How does the PdM market look like (i.e., overview by regions, technologies, industries)?
  • Which benefits are companies seeing from their PdM investments, and which KPIs are they using to measure them?
  • What are the market drivers, trends & challenges in Predictive Maintenance space?

AVAILABLE PLANS

AVAILABLE PLANS - Predictive Maintenance Report (IoT Analytics GmbH)

 

AT A GLANCE

Predictive Maintenance continues to be a hot topic for the Internet of Things (IoT), helped by the parallel advances in many fields; namely sensing technologies, connectivity, IoT architectures, data science & artificial intelligence. The global Predictive Maintenance market reached $3.3B in 2018 and is expected to grow at a CAGR of 39% to become a $23.5B market by 2024.


予測メンテナンス市場 -  - Predictive Maintenance Report (IoT Analytics GmbH)

This report outlines the Predictive Maintenance market by segment. It examines current and expected spending for Predictive Maintenance solutions in greater detail across 13 vertical-industry segments (Automotive & Transport, Buildings, Chemicals, Consumer Products, Energy, Healthcare, Machinery, Metals & Mining, Oil&Gas, Discrete Other, Pulp & Paper, Water & Wastewater, Other ), 7 technology areas (Hardware, Connectivity, Platform, Storage, Analytics, Applications, and System Integration & Services) as well as a regional breakdown with country level deep dives for 5 regions (APAC, Europe, MEA, North America, and South America).


予測メンテナンスの採用 - Predictive Maintenance Report (IoT Analytics GmbH)

To better understand the market players 9 of the top Predictive Maintenance providers are profiled and a Database of 180+ PdM companies in the field is included. The study also describes the top 11 industry trends and 10 main challenges affecting Predictive Maintenance. The report comes with an additional Database of 110+ detailed PdM projects and provides a deep-dive into 9 specific case study examples of Predictive Maintenance currently in the market.

Sensing techniques - Predictive Maintenance Report (IoT Analytics GmbH)

DEFINITION OF PREDICTIVE MAINTENANCE

For this report the following slide presents the definition of Predictive Maintenance used in the analysis.

Predictive maintenance definition - Predictive Maintenance Report (IoT Analytics GmbH)

 

SELECTED COMPANIES FROM THE IOT PLATFORMS MARKET REPORT

Accenture, Bosch, C3, Cassantec, Cisco, Dell, E.ON, General Electric, Falkonry, Heidelberger Druck, Helium, Huawei, Hitachi, IBM, Keysight Technologies, Konux, Microsoft, National Instruments, OSIsoft, Pronosis, PTC, Rockwell Automation, SAP, SAS, Schneider Electric, Senseye, Siemens, SKF, Software AG, SparkCognition, Splunk, Tachyus, thyssenkrupp, Uptake +160 more.

 



目次

Table of Contents

Executive Summary

What has changed since the last report

1. Introduction to Predictive Maintenance

1.1 Definition & Disambiguation
1.2 Role in IoT&I4.0

2. Technology

2.1 Application areas
2.2 Technology stack
2.3 Deep-dive: Sensing techniques
2.4 Deep-dive: Analytics

3. Market Size & Outlook

3.1 Total Market & Overall Drivers
3.2 Market by Technology
3.3 Market by Industry
3.4 Market by Region

4. Competitive Landscape

4.1 Overview
4.2 Company Profiles
4.3 M&A Activity Log

5. Business Models & Case Studies

5.1 Benefits of PdM implementations
5.2 Software vendor perspective
5.3 OEM perspective
5.4 Operator/Shopfloor perspective
5.5 Case studies

6. Trends & Challenges

6.1 Major trends
6.2 Challenges & Barriers

7. Methodology & Definitions

About IoT Analytics

 

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プレスリリース

Predictive Maintenance initiatives saved organizations $17B in 2018, as the number of vendors surges

June 20, 2019

予測メンテナンスが企業を救う - Predictive Maintenance Report (IoT Analytics GmbH)

ANNOUNCEMENT: Hamburg, Germany – 20th June 2019 //

IoT Analytics, a leading provider of market insights & competitive intelligence for the Internet of Things (IoT), M2M, and Industry 4.0, today published a comprehensive 136-page market report on the current state of Predictive Maintenance (PdM), titled “Predictive Maintenance Report 2019-2024”.

Some of the key findings include:

  • Significant cost avoidance. Customers report great ROI from their Predictive Maintenance initiatives (Typically 10-50% reduction in maintenance costs). It is estimated that $17B has been saved by organizations worldwide in 2018 alone, thanks to new, sophisticated Predictive Maintenance programs.
  • Vendor explosion. The number of Predictive Maintenance vendors has doubled in 2 years (182 known vendors today).
  • Maturing market. Although most projects are still in pilot and Proof of Concept stage, many projects are starting to scale – some companies are now performing Predictive Maintenance on 100k+ assets.
  • Increasing role of analytics. Due to advances in AI and the increase in data points, sophisticated analytics are becoming more and more important and make up a larger share of the overall PdM budget.
  • Continued market growth. The market for Predictive Maintenance solutions in 2018 has reached $3.3B and is forecasted to grow at 39% to $23.5B by 2024. It is estimated that in 2024, adopters of Predictive Maintenance will save $188B in costs on top of other benefits such as improved regulatory compliance and enhanced safety.
  • Shifting challenges. Key implementation challenges have shifted from being data model-related to data quality and people-related.

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