Global Predictive Maintenance Vibration Meters Market Size By Product Type, By End User, By Geographic Scope And Forecast
Published Date: August - 2024 | Publisher: MIR | No of Pages: 320 | Industry: latest updates trending Report | Format: Report available in PDF / Excel Format
Predictive Maintenance Vibration Meters Market Size And Forecast
Predictive Maintenance Vibration Meters Market size was valued at USD 3.11 Billion in 2019 and is projected to reach USD 17.96 Billion by 2027, growing at a CAGR of 24.5% from 2020 to 2027.
The major growth drivers of the market include the rising use of emerging technologies to gain valuable insights, and the increasing need to reduce maintenance costs & downtime. The Global Predictive Maintenance Vibration Meters Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.
Global Predictive Maintenance Vibration Meters Market Definition
Predictive maintenance allows manufacturers to extend equipment life, lower maintenance costs, reduce downtime, and improve production quality by addressing problems before they cause equipment failures. Predictive maintenance is a type of condition-based maintenance that monitors the condition of assets using sensor devices. These sensor devices supply data in real-time, which is used to predict when the asset will require maintenance and prevent equipment failure.
Global Predictive Maintenance Vibration Meters Market Overview
Companies are leveraging AI and ML technologies to achieve incredible precision, accuracy, and speed over traditional business intelligence tools to analyze IoT data. With the advent of predictive maintenance, enterprises can make operational predictions up to 20 times faster and with greater accuracy than threshold-based monitoring systems.
In several verticals, such as industrial manufacturing or offshore oil and gas, unplanned downtime arising from equipment breakdown can cost money. AI-based IoT solutions offer enterprises predictive maintenance applications to predict equipment failure ahead of time. Trained workers are required to handle the latest software systems to deploy AI-based IoT technologies & skill sets. Hence, the existing workers are required to be trained on how to operate new and upgraded systems.
Moreover, industries are dynamic toward adopting new technologies; however, they are facing a shortage of highly skilled workforce and proficient workers. As most of the global vendors are organizing predictive maintenance projects, the demand for a highly skilled workforce is increasing. Improved asset management is rising needed across almost every vertical. Solution providers equipped with AI and ML can collect and turn the vast amount of customer-related data into meaningful insights, as IoT generates a huge amount of data from connected devices.
Global Predictive Maintenance Vibration Meters Market Segmentation Analysis
The Global Predictive Maintenance Vibration Meters Market is segmented on the basis of Product Type, End User, and Geography.
Predictive Maintenance Vibration Meters Market, By Product Type
• Digital• Analog
Based on Product Type, the market is bifurcated into Digital and Analog. Predictive maintenance allows manufacturers to lower maintenance costs, extend equipment life, reduce downtime & improve production quality by addressing problems before they cause equipment failures.
Predictive Maintenance Vibration Meters Market, By End User
• Process Industries• Third-party Service Providers• Discrete Industries
Based on End User, the market is bifurcated into Process Industries, Third-party Service Providers, and Discrete Industries. Companies are leveraging AI & ML technologies to achieve incredible precision, accuracy, and speed over traditional business intelligence tools to analyze IoT data.
Predictive Maintenance Vibration Meters Market, By Geography
• North America• Europe• Asia Pacific• Rest of the world
On the basis of Geography, the Global Predictive Maintenance Vibration Meters Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America is expected to hold the largest market share in the forecast period. The attendance of significant players such as Microsoft and Google will boost the market growth with the help of incorporating technological advancements in the product portfolio. Increased disbursements of enterprises in Research and Development would expand the market growth across the region.
Key Players
The “Global Predictive Maintenance Vibration Meters Market” study report will provide valuable insight with an emphasis on the global market. The major players in the market are IBM (US), Microsoft (US), SAP (Germany), Hitachi (Japan), PTC (US), GE (US), Schneider Electric (France), Software AG (Germany), SAS (US), TIBCO (US), C3 IoT (US), Uptake (US), Softweb Solutions (US), Asystom (France), Ecolibrium Energy (India), Fiix Software (Canada), OPEX Group (UK), Dingo (Australia). The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.
Report Scope
Report Attributes
Details
Study Period
2016-2027
Base Year
2019
Forecast Period
2020-2027
Historical Period
2016-2018
Unit
Value (USD Billion)
Key Companies Profiled
Microsoft (US), SAP (Germany), Hitachi (Japan), PTC (US), GE (US), Schneider Electric (France), Software AG (Germany), SAS (US), TIBCO (US), C3 IoT (US).
Segments Covered
• By Product Type • By End User • By Geography
Customization scope
Free report customization (equivalent to up to 4 analysts’ working days) with purchase. Addition or alteration to country, regional & segment scope.
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