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市場調查報告書
商品編碼
1813430
2032 年狀態監測設備市場預測:按設備類型、監測流程、技術、應用、最終用戶和地區進行的全球分析Condition Monitoring Equipment Market Forecasts to 2032 - Global Analysis By Equipment Type, Monitoring Process, Technology, Application, End User and By Geography |
根據 Stratistics MRC 的數據,全球狀態監測設備市場預計在 2025 年達到 27.9 億美元,到 2032 年將達到 48.5 億美元,預測期內的複合年成長率為 8.2%。
狀態監測系統由旨在持續評估機械運作狀況的儀器和技術組成。這些設備監測振動、熱量、壓力和潤滑等因素,以識別異常或劣化的早期徵兆。透過提供預測性洞察,各行各業可以預防意外故障、提高效率並規劃及時維護。這種主動方法可以提高安全性、最大限度地降低維修成本、延長設備壽命,並確保製造、能源和運輸等不同行業的無縫性能。
根據思科預測,到2022年底,支援物聯網應用的機器對機器(M2M)連線將佔全球285億台連網型設備的一半以上。
工業 4.0 和物聯網技術的採用日益增多
隨著工業自動化的發展勢頭強勁,企業擴大將智慧感測器和物聯網平台整合到維護工作流程中。這些技術能夠實現即時數據收集、預測分析和遠距離診斷,從而提高營運效率。工業4.0計劃正在推動對支援機器學習和雲端連接的狀態監控系統的需求。製造商正在優先考慮數位轉型,以減少停機時間並最佳化資產性能。向智慧工廠的轉變正在加速製造業、能源業和交通運輸業等行業部署先進的監測工具。因此,基於物聯網的狀態監測正成為現代工業策略的基石。
技術純熟勞工短缺
現代監控系統非常複雜,需要軟體平台、訊號處理和設備診斷的專業訓練。人才短缺減緩了實施速度,並限制了狀態監測技術的潛力。中小企業尤其難以吸引和留住技術人才,這阻礙了擴充性。為了克服這項挑戰,企業必須投資於人才培養和跨職能培訓專案。如果沒有強大的人才儲備,各產業對先進監控解決方案的採用可能會不均衡。
無線和雲端基礎的監控的進步
無線感測器網路和雲端運算領域的最新創新正在改變設備健康狀況的追蹤和管理方式。這些系統無需複雜的佈線,並可在遠端或危險環境中靈活部署。雲端平台提供可擴展的資料儲存和分析功能,支援跨多個設施的集中監控。與人工智慧和機器學習的整合可提供預測性洞察和自動警報,從而降低維護成本。改進的連接性也促進了行動存取和維護團隊之間的即時協作。這些發展為石油天然氣、採礦業和智慧基礎設施等領域的狀態監測開闢了新的途徑。
技術快速淘汰
感測器設計、分析軟體和連接標準的技術創新日新月異,可能在幾年內就使現有系統過時。隨著新技術的湧現,公司可能面臨高昂的升級成本和相容性問題。通訊協定和硬體規格的頻繁變化可能會擾亂長期規劃和籌資策略。規模較小的供應商可能難以跟上步伐,導致市場整合和多樣性下降。此外,舊有系統可能缺乏對新功能的支持,並且與現代平台的整合有限。這種持續的演變為尋求穩定、面向未來解決方案的買家帶來了風險。
COVID-19的影響
疫情擾亂了製造營運和供應鏈,延誤了狀態監測系統的安裝和維護計畫。出行限制和勞動力短缺影響了現場服務的可用性,並減緩了新的部署。然而,這場危機也凸顯了遠距離診斷和預測性維護的價值,尤其是在關鍵基礎設施領域。隨著企業適應遠距辦公環境,對非接觸式監控和雲端基礎平台的需求激增。醫療保健、公共產業和物流等行業加快了對智慧維護工具的投資,以確保業務連續性。疫情後的復甦預計將進一步推動智慧維護技術的採用,而韌性和自動化將成為重中之重。
預計振動監測系統部分將成為預測期內最大的部分
振動監測系統領域預計將在預測期內佔據最大的市場佔有率,這得益於其在旋轉機械和關鍵資產中的廣泛應用。這些系統能夠及早發現機械故障,例如不平衡、錯位和軸承磨損。其可靠性和成本效益使其成為製造業、發電業以及石油和天然氣等行業的首選。感測器精度和數據分析的不斷改進正在提升診斷能力。與無線和雲端平台的整合正在擴展其在偏遠和惡劣環境中的應用。隨著預測性維護成為主流,振動監測仍然是一項基礎技術。
預計物聯網監控平台部分將在預測期內實現最高的複合年成長率。
物聯網監控平台細分市場預計將在預測期內實現最高成長率,因為它們能夠提供即時洞察和遠端存取。這些系統利用雲端運算、邊緣分析和人工智慧來最佳化設備效能並減少停機時間。擴充性和互通性使其成為多站點營運和複雜資產網路的理想選擇。對智慧工廠和數位雙胞胎日益成長的需求正在刺激汽車、航太和公共產業等領域的採用。增強的網路安全和數據整合能力解決了數位轉型方面的擔憂。隨著各行各業對預測智慧的採用,物聯網平台正成為下一代維護策略的核心。
由於工業化進程加快、基礎設施建設不斷擴展以及製造業活動強勁,預計亞太地區將在預測期內佔據最大的市場佔有率。中國、印度和日本等國家正大力投資智慧工廠計畫和自動化。該地區能源和交通運輸行業的成長推動了對可靠狀態監控解決方案的需求。政府推動數位化和資產安全的政策也進一步推動了市場成長。當地製造商擴大採用預測性維護來提高生產力並降低營運成本。
由於早期採用先進技術且研發實力雄厚,北美預計將在預測期內呈現最高的複合年成長率。該地區對資產可靠性和營運效率的關注正在推動對預測性維護工具的投資。航太、石油天然氣和公共產業等關鍵產業正在採用物聯網和人工智慧驅動的監控平台。職場安全和設備性能的監管標準正在推動主動維護策略。科技公司與工業企業之間的合作正在加速感測器設計和分析領域的創新。
According to Stratistics MRC, the Global Condition Monitoring Equipment Market is accounted for $2.79 billion in 2025 and is expected to reach $4.85 billion by 2032 growing at a CAGR of 8.2% during the forecast period. Condition monitoring equipment consists of instruments and technologies designed to continuously assess the operational state of machines. These devices monitor factors like vibration, heat, pressure, and lubrication to identify irregularities or early signs of deterioration. By providing predictive insights, they enable industries to prevent unexpected breakdowns, improve efficiency, and schedule timely maintenance. This proactive approach enhances safety, minimizes repair costs, prolongs equipment life, and ensures seamless performance across diverse sectors such as manufacturing, energy, and transportation.
According to Cisco, by the end of 2022, machine-to-machine (M2M) connections supporting IoT applications accounted for more than half of the world's 28.5 billion connected devices.
Increasing adoption of Industry 4.0 and IoT technologies
As industrial automation gains momentum, companies are increasingly integrating smart sensors and IoT platforms into their maintenance workflows. These technologies enable real-time data collection, predictive analytics, and remote diagnostics, enhancing operational efficiency. Industry 4.0 initiatives are driving demand for condition monitoring systems that support machine learning and cloud connectivity. Manufacturers are prioritizing digital transformation to reduce downtime and optimize asset performance. The shift toward intelligent factories is accelerating the deployment of advanced monitoring tools across sectors like manufacturing, energy, and transportation. As a result, IoT-enabled condition monitoring is becoming a cornerstone of modern industrial strategy.
Lack of skilled workforce
The complexity of modern monitoring systems requires specialized training in software platforms, signal processing, and equipment diagnostics. This talent gap slows implementation and limits the full potential of condition monitoring technologies. Smaller firms, in particular, face challenges in recruiting and retaining skilled personnel, which can hinder scalability. To overcome this, companies must invest in workforce development and cross-functional training programs. Without a robust talent pipeline, adoption of advanced monitoring solutions may remain uneven across industries.
Advancements in wireless and cloud-based monitoring
Recent innovations in wireless sensor networks and cloud computing are transforming how equipment health is tracked and managed. These systems eliminate the need for complex wiring, enabling flexible deployment in remote or hazardous environments. Cloud platforms offer scalable data storage and analytics, supporting centralized monitoring across multiple facilities. Integration with AI and machine learning allows for predictive insights and automated alerts, reducing maintenance costs. Enhanced connectivity also facilitates mobile access and real-time collaboration among maintenance teams. These developments open new avenues for condition monitoring in sectors like oil & gas, mining, and smart infrastructure.
Rapid technological obsolescence
The fast pace of innovation in sensor design, analytics software, and connectivity standards can render existing systems outdated within a few years. Companies may face high upgrade costs or compatibility issues when newer technologies emerge. Frequent changes in protocols and hardware specifications can disrupt long-term planning and procurement strategies. Smaller vendors may struggle to keep pace, leading to market consolidation and reduced diversity. Additionally, legacy systems may lack support for newer features, limiting integration with modern platforms. This constant evolution poses risks for buyers seeking stable, future-proof solutions.
Covid-19 Impact
The pandemic disrupted manufacturing operations and supply chains, delaying installations and maintenance schedules for condition monitoring systems. Travel restrictions and workforce shortages impacted field service availability and slowed new deployments. However, the crisis highlighted the value of remote diagnostics and predictive maintenance, especially in critical infrastructure. Demand for contactless monitoring and cloud-based platforms surged as companies adapted to remote work environments. Sectors like healthcare, utilities, and logistics accelerated investment in smart maintenance tools to ensure operational continuity. Post-pandemic recovery is expected to further boost adoption, with resilience and automation becoming top priorities.
The vibration monitoring systems segment is expected to be the largest during the forecast period
The vibration monitoring systems segment is expected to account for the largest market share during the forecast period, due to its widespread use in rotating machinery and critical assets. These systems offer early detection of mechanical faults such as imbalance, misalignment, and bearing wear. Their reliability and cost-effectiveness make them a preferred choice across industries like manufacturing, power generation, and oil & gas. Continuous improvements in sensor accuracy and data analytics are enhancing diagnostic capabilities. Integration with wireless and cloud platforms is expanding their applicability in remote and harsh environments. As predictive maintenance becomes mainstream, vibration monitoring remains a foundational technology.
The IoT-enabled monitoring platforms segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the IoT-enabled monitoring platforms segment is predicted to witness the highest growth rate, driven by their ability to deliver real-time insights and remote accessibility. These systems leverage cloud computing, edge analytics, and AI to optimize equipment performance and reduce downtime. Their scalability and interoperability make them ideal for multi-site operations and complex asset networks. Rising demand for smart factories and digital twins is fueling adoption across sectors like automotive, aerospace, and utilities. Enhanced cybersecurity and data integration features are addressing concerns around digital transformation. As industries embrace predictive intelligence, IoT platforms are becoming central to next-gen maintenance strategies.
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to rapid industrialization, infrastructure expansion, and strong manufacturing activity. Countries like China, India, and Japan are investing heavily in smart factory initiatives and automation. The region's growing energy and transportation sectors are driving demand for reliable condition monitoring solutions. Government policies promoting digitalization and equipment safety are further supporting market growth. Local manufacturers are increasingly adopting predictive maintenance to improve productivity and reduce operational costs.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, fuelled by early adoption of advanced technologies and strong R&D capabilities. The region's focus on asset reliability and operational efficiency is driving investment in predictive maintenance tools. Key industries such as aerospace, oil & gas, and utilities are embracing IoT and AI-powered monitoring platforms. Regulatory standards around workplace safety and equipment performance are encouraging proactive maintenance strategies. Collaborations between tech firms and industrial players are accelerating innovation in sensor design and analytics.
Key players in the market
Some of the key players profiled in the Condition Monitoring Equipment Market include SKF Group, Azima DLI, Emerson Electric Co., Schaeffler Group, Honeywell International Inc., Meggitt PLC, General Electric (GE), Bruel & Kjaer Vibro, Siemens AG, FLIR Systems Inc., ABB Ltd., AMETEK Inc., Rockwell Automation Inc., Parker Hannifin Corp., and National Instruments Corp.
In July 2025, Emerson announced a strategic partnership with product engineering and digital services leader Tata Technologies to innovate integrated testing and validation solutions for global OEMs in the automotive, aerospace and commercial vehicle sectors.
In May 2025, SKF announced a partnership with wave energy technology development company Carnegie Clean Energy Limited to deliver Carnegie's CETO's Power Take-Off (PTO) system. CETO is a unique, fully submerged, point absorber type wave energy technology where a submerged buoy sits a few metres below the surface of the ocean and moves with the ocean's waves.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.