予知保全市場- 世界および地域別分析：用途別、製品別、地域別 - 分析と予測（2024年～2034年）

予知保全の市場規模は、さまざまな要因と市場促進要因に支えられ、大幅な成長を遂げています。

楽観的シナリオでは、市場は2024年に113億4,000万米ドルと評価され、2034年までに26.76%のCAGRで拡大し、1,214億9,000万米ドルに達すると予想されています。

この成長の主な原動力は、さまざまな業界で資産パフォーマンスの最適化と運用コストの削減における予知保全の利点がますます認識されていることです。予知保全ソリューションは、機器の信頼性の向上、計画外のダウンタイムの最小化、資産寿命の最大化に重要な役割を果たし、運用効率とコスト効率の向上につながります。この需要は、運用の継続性と競争力を確保する上でのプロアクティブなメンテナンス戦略の重要性に対する業界の理解が高まっていることから生じています。

さらに、デジタル化とインダストリー4.0イニシアチブへの重点が高まっていることから、予知保全ソリューションの採用が進んでいます。IoTセンサー、ビッグデータ分析、クラウドコンピューティングテクノロジーの普及により、組織は予知保全を活用してリアルタイムのデータインサイトを活用し、潜在的な機器の故障を特定し、メンテナンス活動をより効率的にスケジュールすることができます。この傾向は、高度な分析ツールとプラットフォームの利用可能性が高まることでさらに加速し、組織はデータから実用的なインサイトを引き出し、メンテナンスプラクティスを最適化できるようになります。

さらに、資産の信頼性と安全性を義務付ける規制要件と業界標準が、予知保全ソリューションの採用を促進しています。IBM、ABB Ltd.、Emerson Electricなど、予知保全を専門とする企業は、さまざまな業界の特定のニーズに合わせた革新的なソリューションの開発の最前線に立っています。データ分析、AI、機械学習に関するこれらの企業の専門知識とドメイン知識は、世界の予知保全市場情勢を形成する上で重要な役割を果たしています。

全体として、予知保全市場は、その利点、デジタル化の動向、規制の促進要因の認識の高まりと、テクノロジーとソリューションの提供の進歩によって、堅調な成長を遂げています。

当レポートでは、世界の予知保全市場について調査し、市場の概要とともに、用途別、製品別、地域別の動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

エグゼクティブサマリー

第1章 市場：業界の展望

• 動向：現在および将来の影響評価
• サプライチェーンの概要
• R&Dレビュー
• 規制状況
• ステークホルダー分析
• 主要な世界的イベントの影響分析
• 市場力学の概要

第2章 予知保全市場（用途別）

• 用途のセグメンテーション
• 用途の概要
• 予知保全市場（最終用途産業別）
• 予知保全市場（技術別）

第3章 予知保全市場（製品別）

• 製品セグメンテーション
• 製品概要
• 予知保全市場（技術別）
• 予知保全市場（オファリング別）

第4章 予知保全市場（地域別）

• 予知保全市場（地域別）
• 北米
• 欧州
• アジア太平洋
• その他の地域

第5章 企業プロファイル

• 今後の見通し
• 地理的評価
  • ABB Ltd.
  • IBM Corporation
  • Schneider Electric
  • AWS
  • Google Inc.
  • Microsoft Corporation
  • Hitachi
  • SAP
  • SAS Institute
  • Software AG
  • Tibco Software
  • Oracle
  • Altair
  • Splunk
  • Emerson Electric
  • その他の主要企業

第6章 調査手法

Introduction to Predictive Maintenance Market

The predictive maintenance market is experiencing significant growth, fueled by various key factors and market drivers. In an optimistic scenario, the market is valued at $11.34 billion in 2024 and is anticipated to expand at a CAGR of 26.76% to reach $121.49 billion by 2034.

A primary driver for this growth is the increasing recognition of the benefits of predictive maintenance in optimizing asset performance and reducing operational costs across various industries. Predictive maintenance solutions play a crucial role in enhancing equipment reliability, minimizing unplanned downtime, and maximizing asset lifespan, leading to improved operational efficiency and cost-effectiveness. This demand arises from industries' growing understanding of the importance of proactive maintenance strategies in ensuring operational continuity and competitiveness.

Additionally, the rising emphasis on digitalization and Industry 4.0 initiatives is driving the adoption of predictive maintenance solutions. With the proliferation of IoT sensors, big data analytics, and cloud computing technologies, organizations can leverage predictive maintenance to harness real-time data insights, identify potential equipment failures, and schedule maintenance activities more efficiently. This trend is further accelerated by the increasing availability of advanced analytics tools and platforms, enabling organizations to unlock actionable insights from their data and optimize maintenance practices.

Furthermore, regulatory requirements and industry standards mandating asset reliability and safety are driving the adoption of predictive maintenance solutions. Companies specializing in predictive maintenance, such as IBM, ABB Ltd., and Emerson Electric, are at the forefront of developing innovative solutions tailored to the specific needs of different industries. Their expertise in data analytics, AI, and machine learning, coupled with their domain knowledge, are instrumental in shaping the global predictive maintenance market landscape.

Overall, the predictive maintenance market is witnessing robust growth, propelled by the growing recognition of its benefits, digitalization trends, and regulatory drivers, coupled with advancements in technology and solution offerings.

Market Segmentation:

Segmentation 1: by End-use Industry

• Energy and Utilities
• Manufacturing
• Automotive and Transportation
• Aerospace and Defense
• Construction and Mining
• Telecommunications
• Others

Segmentation 2: by Technique

• Vibration Analysis
• Infrared Thermography
• Acoustic Monitoring
• Oil Analysis
• Motor Circuit Analysis
• Others

Segmentation 3: by Technology

• Analytics and Data Management
• Artificial Intelligence
• IoT Platform
• Sensors and Other Devices

Segmentation 4: by Offering

• Solutions
• Services

Segmentation 5: by Region

• North America
• Europe
• Asia-Pacific
• Rest-of-the-World

How can this report add value to an organization?

Product/Innovation Strategy: The global predictive maintenance market has been extensively segmented based on various categories, such as end-use industry, offering, technique, and technology. This can help readers get a clear overview of which segments account for the largest share and which ones are well-positioned to grow in the coming years.

Competitive Strategy: A detailed competitive benchmarking of the players operating in the global predictive maintenance market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.

Key Market Players and Competition Synopsis

The companies that are profiled have been selected based on thorough secondary research, which includes analyzing company coverage, product portfolio, market penetration, and insights gathered from primary experts.

Some of the prominent companies in this market are:

• ABB Ltd.
• IBM Corporation
• Schneider Electric
• Microsoft Corporation
• Hitachi
• Oracle

Key Questions Answered in this Report:

• What are the main factors driving the demand for Predictive Maintenance market?
• What are the major patents filed by the companies active in the Predictive Maintenance market?
• Who are the key players in the Predictive Maintenance market, and what are their respective market shares?
• What partnerships or collaborations are prominent among stakeholders in the Predictive Maintenance market?
• What are the strategies adopted by the key companies to gain a competitive edge in Predictive Maintenance market?
• What is the futuristic outlook for the Predictive Maintenance market in terms of growth potential?
• What is the current estimation of the Predictive Maintenance market, and what growth trajectory is projected from 2024 to 2034?
• Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
• Which regions demonstrate the highest adoption rates for Predictive Maintenance market, and what factors contribute to their leadership?

Table of Contents

Executive Summary

Scope and Definition

Market/Product Definition

Key Questions Answered

Analysis and Forecast Note

1. Markets: Industry Outlook

• 1.1 Trends: Current and Future Impact Assessment
• 1.2 Supply Chain Overview
  • 1.2.1 Value Chain Analysis
  • 1.2.2 Pricing Forecast
• 1.3 R&D Review
  • 1.3.1 Patent Filing Trend by Country, by Company
• 1.4 Regulatory Landscape
• 1.5 Stakeholder Analysis
  • 1.5.1 Use Case
  • 1.5.2 End User and Buying Criteria
• 1.6 Impact Analysis for Key Global Events
• 1.7 Market Dynamics Overview
  • 1.7.1 Market Drivers
  • 1.7.2 Market Restraints
  • 1.7.3 Market Opportunities

2. Predictive Maintenance Market (by Application)

• 2.1 Application Segmentation
• 2.2 Application Summary
• 2.3 Predictive Maintenance Market (by End-use Industry)
  • 2.3.1 Energy and Utilities
  • 2.3.2 Manufacturing
  • 2.3.3 Automotive and Transportation
  • 2.3.4 Aerospace and Defence
  • 2.3.5 Construction and Mining
  • 2.3.6 Telecommunications
  • 2.3.7 Others
• 2.4 Predictive Maintenance Market (by Technique)
  • 2.4.1 Vibration Analysis
  • 2.4.2 Infrared Thermography
  • 2.4.3 Acoustic Monitoring
  • 2.4.4 Oil Analysis
  • 2.4.5 Motor Circuit Analysis
  • 2.4.6 Others

3. Predictive Maintenance Market (by Products)

• 3.1 Product Segmentation
• 3.2 Product Summary
• 3.3 Predictive Maintenance Market (by Technology)
  • 3.3.1 Analytics and Data Management
  • 3.3.2 Artificial Intelligence
  • 3.3.3 IoT Platform
  • 3.3.4 Sensors and Other Devices
• 3.4 Predictive Maintenance Market (by Offering)
  • 3.4.1 Solutions
  • 3.4.2 Services

4. Predictive Maintenance Market (by Region)

• 4.1 Predictive Maintenance Market (by Region)
• 4.2 North America
  • 4.2.1 Regional Overview
  • 4.2.2 Driving Factors for Market Growth
  • 4.2.3 Factors Challenging the Market
  • 4.2.4 Application
  • 4.2.5 Product
  • 4.2.6 U.S.
    • 4.2.6.1 Market by Application
    • 4.2.6.2 Market by Product
  • 4.2.7 Canada
    • 4.2.7.1 Market by Application
    • 4.2.7.2 Market by Product
  • 4.2.8 Mexico
    • 4.2.8.1 Market by Application
    • 4.2.8.2 Market by Product
• 4.3 Europe
  • 4.3.1 Regional Overview
  • 4.3.2 Driving Factors for Market Growth
  • 4.3.3 Factors Challenging the Market
  • 4.3.4 Application
  • 4.3.5 Product
  • 4.3.6 Germany
    • 4.3.6.1 Market by Application
    • 4.3.6.2 Market by Product
  • 4.3.7 France
    • 4.3.7.1 Market by Application
    • 4.3.7.2 Market by Product
  • 4.3.8 U.K.
    • 4.3.8.1 Market by Application
    • 4.3.8.2 Market by Product
  • 4.3.9 Italy
    • 4.3.9.1 Market by Application
    • 4.3.9.2 Market by Product
  • 4.3.10 Rest-of-Europe
    • 4.3.10.1 Market by Application
    • 4.3.10.2 Market by Product
• 4.4 Asia-Pacific
  • 4.4.1 Regional Overview
  • 4.4.2 Driving Factors for Market Growth
  • 4.4.3 Factors Challenging the Market
  • 4.4.4 Application
  • 4.4.5 Product
  • 4.4.6 China
    • 4.4.6.1 Market by Application
    • 4.4.6.2 Market by Product
  • 4.4.7 Japan
    • 4.4.7.1 Market by Application
    • 4.4.7.2 Market by Product
  • 4.4.8 India
    • 4.4.8.1 Market by Application
    • 4.4.8.2 Market by Product
  • 4.4.9 South Korea
    • 4.4.9.1 Market by Application
    • 4.4.9.2 Market by Product
  • 4.4.10 Rest-of-Asia-Pacific
    • 4.4.10.1 Market by Application
    • 4.4.10.2 Market by Product
• 4.5 Rest-of-the-World
  • 4.5.1 Regional Overview
  • 4.5.2 Driving Factors for Market Growth
  • 4.5.3 Factors Challenging the Market
  • 4.5.4 Application
  • 4.5.5 Product
  • 4.5.6 South America
    • 4.5.6.1 Market by Application
    • 4.5.6.2 Market by Product
  • 4.5.7 Middle East and Africa
    • 4.5.7.1 Market by Application
    • 4.5.7.2 Market by Product

5. Companies Profiled

• 5.1 Next Frontiers
• 5.2 Geographic Assessment
  • 5.2.1 ABB Ltd.
    • 5.2.1.1 Overview
    • 5.2.1.2 Top Products/Product Portfolio
    • 5.2.1.3 Top Competitors
    • 5.2.1.4 Target Customers
    • 5.2.1.5 Key Personnel
    • 5.2.1.6 Analyst View
    • 5.2.1.7 Market Share
  • 5.2.2 IBM Corporation
    • 5.2.2.1 Overview
    • 5.2.2.2 Top Products/Product Portfolio
    • 5.2.2.3 Top Competitors
    • 5.2.2.4 Target Customers
    • 5.2.2.5 Key Personnel
    • 5.2.2.6 Analyst View
    • 5.2.2.7 Market Share
  • 5.2.3 Schneider Electric
    • 5.2.3.1 Overview
    • 5.2.3.2 Top Products/Product Portfolio
    • 5.2.3.3 Top Competitors
    • 5.2.3.4 Target Customers
    • 5.2.3.5 Key Personnel
    • 5.2.3.6 Analyst View
    • 5.2.3.7 Market Share
  • 5.2.4 AWS
    • 5.2.4.1 Overview
    • 5.2.4.2 Top Products/Product Portfolio
    • 5.2.4.3 Top Competitors
    • 5.2.4.4 Target Customers
    • 5.2.4.5 Key Personnel
    • 5.2.4.6 Analyst View
    • 5.2.4.7 Market Share
  • 5.2.5 Google Inc.
    • 5.2.5.1 Overview
    • 5.2.5.2 Top Products/Product Portfolio
    • 5.2.5.3 Top Competitors
    • 5.2.5.4 Target Customers
    • 5.2.5.5 Key Personnel
    • 5.2.5.6 Analyst View
    • 5.2.5.7 Market Share
  • 5.2.6 Microsoft Corporation
    • 5.2.6.1 Overview
    • 5.2.6.2 Top Products/Product Portfolio
    • 5.2.6.3 Top Competitors
    • 5.2.6.4 Target Customers
    • 5.2.6.5 Key Personnel
    • 5.2.6.6 Analyst View
    • 5.2.6.7 Market Share
  • 5.2.7 Hitachi
    • 5.2.7.1 Overview
    • 5.2.7.2 Top Products/Product Portfolio
    • 5.2.7.3 Top Competitors
    • 5.2.7.4 Target Customers
    • 5.2.7.5 Key Personnel
    • 5.2.7.6 Analyst View
    • 5.2.7.7 Market Share
  • 5.2.8 SAP
    • 5.2.8.1 Overview
    • 5.2.8.2 Top Products/Product Portfolio
    • 5.2.8.3 Top Competitors
    • 5.2.8.4 Target Customers
    • 5.2.8.5 Key Personnel
    • 5.2.8.6 Analyst View
    • 5.2.8.7 Market Share
  • 5.2.9 SAS Institute
    • 5.2.9.1 Overview
    • 5.2.9.2 Top Products/Product Portfolio
    • 5.2.9.3 Top Competitors
    • 5.2.9.4 Target Customers
    • 5.2.9.5 Key Personnel
    • 5.2.9.6 Analyst View
    • 5.2.9.7 Market Share
  • 5.2.10 Software AG
    • 5.2.10.1 Overview
    • 5.2.10.2 Top Products/Product Portfolio
    • 5.2.10.3 Top Competitors
    • 5.2.10.4 Target Customers
    • 5.2.10.5 Key Personnel
    • 5.2.10.6 Analyst View
    • 5.2.10.7 Market Share
  • 5.2.11 Tibco Software
    • 5.2.11.1 Overview
    • 5.2.11.2 Top Products/Product Portfolio
    • 5.2.11.3 Top Competitors
    • 5.2.11.4 Target Customers
    • 5.2.11.5 Key Personnel
    • 5.2.11.6 Analyst View
    • 5.2.11.7 Market Share
  • 5.2.12 Oracle
    • 5.2.12.1 Overview
    • 5.2.12.2 Top Products/Product Portfolio
    • 5.2.12.3 Top Competitors
    • 5.2.12.4 Target Customers
    • 5.2.12.5 Key Personnel
    • 5.2.12.6 Analyst View
    • 5.2.12.7 Market Share
  • 5.2.13 Altair
    • 5.2.13.1 Overview
    • 5.2.13.2 Top Products/Product Portfolio
    • 5.2.13.3 Top Competitors
    • 5.2.13.4 Target Customers
    • 5.2.13.5 Key Personnel
    • 5.2.13.6 Analyst View
    • 5.2.13.7 Market Share
  • 5.2.14 Splunk
    • 5.2.14.1 Overview
    • 5.2.14.2 Top Products/Product Portfolio
    • 5.2.14.3 Top Competitors
    • 5.2.14.4 Target Customers
    • 5.2.14.5 Key Personnel
    • 5.2.14.6 Analyst View
    • 5.2.14.7 Market Share
  • 5.2.15 Emerson Electric
    • 5.2.15.1 Overview
    • 5.2.15.2 Top Products/Product Portfolio
    • 5.2.15.3 Top Competitors
    • 5.2.15.4 Target Customers
    • 5.2.15.5 Key Personnel
    • 5.2.15.6 Analyst View
    • 5.2.15.7 Market Share
  • 5.2.16 Other Key Companies

6. Research Methodology