The global Predictive Maintenance Sensors market size is predicted to grow from US$ 311 million in 2025 to US$ 520 million in 2031; it is expected to grow at a CAGR of 8.9% from 2025 to 2031.
The six most popular predictive maintenance sensors today are: Vibration, Gas, Humidity, Temperature, Security, and pressure sensors.
United States market for Predictive Maintenance Sensors is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for Predictive Maintenance Sensors is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for Predictive Maintenance Sensors is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key Predictive Maintenance Sensors players cover Baker Hughes, TE Connectivity, Valmet, Shinkawa Electric, ABB, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
LP Information, Inc. (LPI) ' newest research report, the “Predictive Maintenance Sensors Industry Forecast” looks at past sales and reviews total world Predictive Maintenance Sensors sales in 2024, providing a comprehensive analysis by region and market sector of projected Predictive Maintenance Sensors sales for 2025 through 2031. With Predictive Maintenance Sensors sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Predictive Maintenance Sensors industry.
This Insight Report provides a comprehensive analysis of the global Predictive Maintenance Sensors landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Predictive Maintenance Sensors portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Predictive Maintenance Sensors market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Predictive Maintenance Sensors and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Predictive Maintenance Sensors.
This report presents a comprehensive overview, market shares, and growth opportunities of Predictive Maintenance Sensors market by product type, application, key manufacturers and key regions and countries.
Segmentation by Type:
Vibration Sensors
Gas Sensors
Humidity Sensors
Temperature Sensors
Security Sensors
Pressure Sensors
Segmentation by Application:
Manufacturing
Energy and Utilities
Government and Defense
Medical
Transportation and Logistics
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.
Baker Hughes
TE Connectivity
Valmet
Shinkawa Electric
ABB
Emerson
Yokogawa
STMicroelectronics
TI
NXP
Sensata
WIKA
Honeywell
Erbessd Instruments
Banner Engineering
Ifm
SPM Instrument
NI
Advantech
Fluke
Sumyoung Tech
Key Questions Addressed in this Report
What is the 10-year outlook for the global Predictive Maintenance Sensors market?
What factors are driving Predictive Maintenance Sensors market growth, globally and by region?
Which technologies are poised for the fastest growth by market and region?
How do Predictive Maintenance Sensors market opportunities vary by end market size?
How does Predictive Maintenance Sensors break out by Type, by Application?
Please note: The report will take approximately 2 business days to prepare and deliver.
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