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予知保全市場のレポート:コンポーネント、技術、展開タイプ、組織規模、業界別、地域別、2024~2032年Predictive Maintenance Market Report by Component, Technique, Deployment Type, Organization Size, Industry Vertical, and Region 2024-2032 |
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予知保全市場のレポート:コンポーネント、技術、展開タイプ、組織規模、業界別、地域別、2024~2032年 |
出版日: 2024年07月01日
発行: IMARC
ページ情報: 英文 139 Pages
納期: 2~3営業日
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世界の予知保全市場規模は2023年に103億米ドルに達しました。今後、IMARC Groupは、市場は2032年までに723億米ドルに達し、2024~2032年にかけて23.8%の成長率(CAGR)を示すと予測しています。機械間(M2M)通信の利用拡大、老朽化した様々な産業機械の寿命延長への投資の増加、高度な試験を実施するための遠隔監視との統合の高まりが、市場を牽引する主要要因のいくつかです。
予知保全とは、運転中の機器の性能を監視する状態監視ツールやシステムに依存する技術を指します。モノのインターネット(IoT)、人工知能(AI)、統合システムで構成され、さまざまな資産やシステムを接続し、重要なデータを共有・分析します。また、予知保全センサー、産業用制御装置、企業資産管理(EAM)や企業資源計画(ERP)ソフトウェアなどの業務システムで構成されます。状態監視装置を利用して資産の性能を試験・評価することで機能します。温度、振動、導電率など、さまざまなデータを記録し、エンジニアが機器や資産の故障を予測しながら、事前に交換や修理ができるようにします。メンテナンス・コストを削減し、機器の寿命を延ばし、生産性を向上させることができます。さらに、予知保全は安全コンプライアンスと先制的な是正措置を提供するため、その需要は世界中で高まっています。
現在、さまざまな産業資産の運用の自動化が進んでいるため、予知保全の需要が高まっており、これが市場にプラスの影響を与えている主要要因の1つとなっています。これに加えて、産業資産や事業資産から得られるさまざまな情報を調査するためのM2M(Machine-to-Machine)通信やクラウド技術の利用が拡大していることも、市場の展望を良好なものにしています。さらに、技術者が適切なステップを踏んで修理を計画・準備するための予知保全の採用も増加しています。これは、生産サイクルの中断や計画外のダウンタイムの発生を防ぐための予知保全の採用増加とともに、市場の成長を促進しています。これとは別に、目に見える投資収益率(ROI)を生み出すために、企業による予知保全の利用が増加しています。これは、老朽化した様々な産業機械の寿命を延ばすための投資の増加と相まって、市場の成長に寄与しています。さらに、高度な試験を実施し、部品や機器の故障を予測するために、遠隔監視と予測保全の統合が進んでいることも、市場の成長を支えています。さらに、医療インフラの信頼性を向上させるために、医療セグメントで予知保全の採用が増加していることも、市場の成長を後押ししています。
The global predictive maintenance market size reached US$ 10.3 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 72.3 Billion by 2032, exhibiting a growth rate (CAGR) of 23.8% during 2024-2032. The growing utilization of machine-to-machine (M2M) communication, increasing investment in extending the lifespan of various aging industrial machinery, and rising integration with remote monitoring to conduct advanced inspections represent some of the key factors driving the market.
Predictive maintenance refers to the technique that relies on condition-monitoring tools and systems to monitor the performance of equipment during operation. It comprises the internet of things (IoT), artificial intelligence (AI), and integrated systems to connect different assets and systems and share and analyze crucial data. It also consists of predictive maintenance sensors, industrial controls, and business systems, such as enterprise asset management (EAM) and enterprise resource planning (ERP) software. It functions by utilizing condition monitoring equipment to examine and evaluate the performance of assets. It records a wide range of data, such as temperature, vibrations, and conductivity, which enables an engineer to predict the failure of equipment or assets while allowing them to be replaced or repaired in advance. It helps reduce maintenance costs, increase the shelf life of equipment, and improve productivity. Furthermore, as predictive maintenance provides safety compliance and preemptive corrective actions, its demand is increasing around the world.
At present, the rising demand for predictive maintenance due to the increasing automation of operations of various industrial assets represents one of the primary factors influencing the market positively. Besides this, the growing utilization of machine-to-machine (M2M) communication and cloud technology to investigate a wide array of information derived from industrial and business assets is offering a favorable market outlook. Additionally, there is an increase in the adoption of predictive maintenance by technicians to plan and prepare for a repair by taking appropriate steps. This, along with the rising employment of predictive maintenance to prevent the disruption of production cycles and the occurrence of unplanned downtime, is propelling the growth of the market. Apart from this, there is a rise in the utilization of predictive maintenance by businesses to generate a tangible return on investment (ROI). This, coupled with the increasing investment in extending the lifespan of various aging industrial machinery, is contributing to the growth of the market. In addition, the rising integration of predictive maintenance with remote monitoring to conduct advanced inspections and predict component and equipment failures is supporting the market growth. Moreover, the increasing employment of predictive maintenance in the healthcare sector to improve the reliability of healthcare infrastructure is bolstering the market growth.
IMARC Group provides an analysis of the key trends in each sub-segment of the global predictive maintenance market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on component, technique, deployment type, organization size and industry vertical.
Solution
Service
The report has provided a detailed breakup and analysis of the predictive maintenance market based on the component. This includes solution and service. According to the report, solution represented the largest segment.
Vibration Monitoring
Electrical Testing
Oil Analysis
Ultrasonic Leak Detectors
Shock Pulse
Infrared
Others
A detailed breakup and analysis of the predictive maintenance market based on the technique has also been provided in the report. This includes vibration monitoring, electrical testing, oil analysis, ultrasonic leak detectors, shock pulse, infrared, and others. According to the report, vibration monitoring accounted for the largest market share.
Cloud-based
On-premises
A detailed breakup and analysis of the predictive maintenance market based on the deployment type has also been provided in the report. This includes cloud-based and on-premises. According to the report, on-premises accounted for the largest market share.
Small and Medium-sized Enterprises
Large Enterprises
A detailed breakup and analysis of the predictive maintenance market based on the organization size has also been provided in the report. This includes small and medium-sized enterprises and large enterprises. According to the report, large enterprises accounted for the largest market share.
Manufacturing
Energy and Utilities
Aerospace and Defense
Transportation and Logistics
Government
Healthcare
Others
A detailed breakup and analysis of the predictive maintenance market based on the industry vertical has also been provided in the report. This includes manufacturing, energy and utilities, aerospace and defense, transportation and logistics, government, healthcare, and others. According to the report, manufacturing accounted for the largest market share.
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (the United Kingdom, Germany, France, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America (the United States and Canada) was the largest market for predictive maintenance. Some of the factors driving the North America predictive maintenance market included the growing demand for remote monitoring facilities, rising technological advancements in business automation processes, increasing number of solution and service vendors, etc.
The report has also provided a comprehensive analysis of the competitive landscape in the global predictive maintenance market. Competitive analysis such as market structure, market share by key players, player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided. Some of the companies covered include Asystom, C3.ai Inc., General Electric Company, Google LLC (Alphabet Inc.), Hitachi Ltd., International Business Machines Corporation, Microsoft Corporation, PTC Inc., SAP SE, Software AG, Tibco Software Inc., Uptake Technologies Inc., etc. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.