USD 5.77 billion
Report ID:
SQMIG45E2137 |
Region:
Global |
Published Date: June, 2024
Pages:
197
|Tables:
59
|Figures:
77
Global Predictive Maintenance Market size was valued at USD 5.77 Billion in 2022 and is poised to grow from USD 7.57 Billion in 2023 to USD 66.46 Billion by 2031, at a CAGR of 31.2% during the forecast period (2024-2031).
The factors driving the growth of the predictive maintenance market involve the growing trend towards utilizing novel technologies for acquiring useful data, the availability of machine learning and artificial intelligence, as well as the need to reduce maintenance costs and avoid equipment breakdowns.
The predictive maintenance market is quite a newly developing field that falls under the convergence envelope of technology and industrial maintenance. They use big data analytics, wherein the company makes use of machine learning and IoT to forecast when specific equipment or machinery is most likely to fail. Using real-time information and historical trends, predictive upkeep makes it possible to predict the need for maintenance thus reducing operation downtime and costs commonly associated with it.
Some of the pioneers in this market are IBM, Microsoft, SAP and General Electric. They provide end to-end solutions for tracking the state of business assets as well as signs that the maintenance of these assets is needed. Global predictive maintenance market is projected to move on an upward growth in coming year mainly due to increasing demand from manufacturing, energy and transportation sectors as they focuses on the cost savings, reliability and overall operational efficiency.
Global Market Size
USD 5.77 billion
Largest Segment
Solutions
Fastest Growth
Solution
Growth Rate
31.2% CAGR
To get more reports on the above market click here to Buy The Report
Global Predictive Maintenance Market is segmented based on Component, Technology, Technique, Organization Size, Vertical, and region. Based on Component, the market is segmented into Hardware, Solutions (Integrated, Standalone), Solution by Deployment Mode (Cloud [Public, Private, Hybrid], On-Premises), Services (Professional Services, System Integration, Support & Maintenance, Consulting), Managed Services. Based on Technology, the market is segmented Analytics & Data Management, Artificial Intelligence, IOT platform, Sensors & Other Devices, Other Technologies. Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Sized Enterprises. Based on Technique, the market is segmented into Vibration Analysis (Test Component Alignment, Detect Imbalances, Resonance Identification, Gear Failure Detection, Others), Infrared Thermography (Monitoring, Pipeline Monitoring, Condenser Evaluation, Vacuum System Monitoring, Fan Health Assessment, Air Compressor Monitoring, Others), Oil Analysis (Turbine Maintenance, Hydraulic System Maintenance, Engine Evaluation, Transmission assessment, Gear lubricant level monitoring, Others), Motor Circuit Analysis (Assess engine degradation, Shaft and rotor alignment, Insulation Evaluation, Gear Assessment, Scan For Short Circuits, Others), Other Techniques. Based on Vertical, the market is segmented into Energy & Utilities, Manufacturing, Automotive & Transportation, Aerospace & Defense, Construction & Mining, Healthcare, Telecommunications, Other Verticals. Based on region, the market is segmented into North America, Europe, Asia-Pacific, Middle East and Africa, and Latin America.
Analysis by Component
In 2023, the solution segment contributes to the market size of 80%. Customers spent 6% of the total revenue on purchasing the products from the organisation. Smart maintenance processes entail the use of software or technologies that apply analytics and data to the maintenance job. This method involves using AI algorithms to develop models and analyze the past data to find patterns that will help the system to foresee equipment failure or maintenance issues. The solutions assist in saving money, time, and avoiding costly repairs through focusing on inexpensive preventive maintenance instead of rushing to repair equipment until it fails or causes significant damage, and in managing spare parts and assets more efficiently.
From 2023 to 2031, the services segment is expected to grow at the highest CAGR. Predictive maintenance service providers analyze data from the device’s log, sensor, and service records. The numerical analysis is employed in the creation of the prediction models concerning equipment failures and maintenance requirements. Service providers use sophisticated business analytics, artificial intelligence, and machine learning algorithms to pattern, trend, deviation, and system failure.
Analysis by Techniques Analysis
Over the anticipated period, it is believed that infrared thermography segment will be recording steady revenues. Several ways that manufacturers can benefit from thermographic testing include the following: thermographic testing, therefore, can be very advantageous to manufacturers, particularly when it is combined with a comprehensive maintenance schedule. Thermographic testing assists to significantly reduce costly unscheduled shutdowns and it contributes to the business bottom line in the aspect of usage in the operational schedule for repairs, at times when the impact to productivity is anticipated to be minimal.
However, during the forecast period, the growth rate in terms of revenue for the segment related to vibration monitoring will be moderate. Vibration monitoring can be categorized as one of the most popular methods used in preventive maintenance presently. It is specifically suitable for detecting degradation of equipment and possible breakdowns or degradation of processes before they occur. With the right tools it is also helpful in giving evidence of the prevailing cause of an impending trouble especially in the units with many elements in motion.
To get detailed analysis on other segments, Request For Free Sample Report
The global predictive maintenance market was dominated by North America in terms of revenue share in 2023 due to the presence of many end use industries and higher company indoctrination on the new advanced technologies that can help organizations to make great savings and increase their efficiency. This had to be done to maintain the many fighters, bomber, tanker, transport, and helicopter aircraft which compose the PAF’s inventory. Other estimates for only the Air Force exceed 5,400 planes.
According to the market revenue, in the forecast period the growth rate is expected to be moderate in the Europe region. Some of the main drivers that can be attributed to the increase in revenue in the predictive maintenance market in Europe are the need to minimize the frequencies of maintenance and the downtime as well as advancement of knowledge concerning the value of predictive maintenance. For instance, several European military defense organizations utilize predictive maintenance to ensure that spare component is available at optimum levels, necessary for fleet management. This helped in dissecting of logistic factors, finance risk as well as the economic factors and made the line of supply for repairs of aircraft fast and cheap.
To know more about the market opportunities by region and country, click here to
Buy The Complete Report
Predictive Maintenance Market Drivers
Cost Efficiency and Savings
Advancements in AI and IoT Technologies
Restraints
High Initial Implementation Costs
Data Privacy and Security Concerns
Request Free Customization of this report to help us to meet your business objectives.
The global predictive maintenance market is moderately fragmented, as the industry is represented by some major players who operate on the international and local levels. Large firms are increasingly spending on research and development and testing of strategies and collaborations for bringing more diverse and differentiated innovational products and related devices.
Predictive Maintenance Market Top Player’s Company Profiles
Predictive Maintenance Market Recent Developments
In January 2024, the company expanded the strategic as-a-service partnership with Siemens to simplify the adoption of generative AI for businesses of all industries and scales. They appreciate long-term cooperation that will enable specialists in engineering, manufacturing, logistics, insurance, or banking to create the most effective new generative AI solutions or improve the existing ones.
In December 2023, ABB released a newer version of the ABB Ability™ Field Information Manager (FIM 3)
In June 2023, Qatar Airways has signed partnership deal with Google Cloud to provide data and artificial intelligence solution for the airline industry. This symbiosis will primarily concern such areas as predictive maintenance, passengers’ satisfaction, and cargo, as these are the goals that may be effective in increasing efficiency of the customer-oriented processes in the airline business.
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates and Analyses the Data collected by means of Primary Exploratory Research backed by the robust Secondary Desk research.
According to our analysis, the growth of market is also related to the increasing popularity of cloud-based solutions for predictive maintenance, as they allow to control the process in real time from any location and provide greater scalability. However, the rising integration of predictive maintenance solutions with the enterprise asset management (EAM) systems is also contributing to market growth as it helps the organization to get a better understanding of the maintenance activities with better planning of the maintenance schedules. Hence, the predictive maintenance market size indicates that it is gradually expanding in the global market in the years to come as a result of the rising demand for Industry 4. No technologies, such as cloud-based solutions and online EAM systems, and the application of predictive maintenance in the operation of EAM systems. The market is also being driven by the latest trends such as the application of AR and VR in predictive maintenance, extending the product into various verticals, and customer focus towards sustainability and environment concerns.
Report Metric | Details |
---|---|
Market size value in 2022 | USD 5.77 Billion |
Market size value in 2031 | USD 66.46 Billion |
Growth Rate | 31.2% |
Base year | 2023 |
Forecast period | 2024-2031 |
Forecast Unit (Value) | USD Billion |
Segments covered |
|
Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
|
Customization scope | Free report customization with purchase. Customization includes:-
|
To get a free trial access to our platform which is a one stop solution for all your data requirements for quicker decision making. This platform allows you to compare markets, competitors who are prominent in the market, and mega trends that are influencing the dynamics in the market. Also, get access to detailed SkyQuest exclusive matrix.
Buy The Complete Report to read the analyzed strategies adopted by the top vendors either to retain or gain market share
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Predictive Maintenance Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Predictive Maintenance Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Predictive Maintenance Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Predictive Maintenance Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
Our industry expert will work with you to provide you with customized data in a short amount of time.
REQUEST FREE CUSTOMIZATIONWant to customize this report? This report can be personalized according to your needs. Our analysts and industry experts will work directly with you to understand your requirements and provide you with customized data in a short amount of time. We offer $1000 worth of FREE customization at the time of purchase.
Report ID: SQMIG45E2137