The global predictive maintenance market size is projected to reach USD 60.13 billion by 2030, registering a CAGR of 29.5% from 2023 to 2030, according to a new study by Grand View Research, Inc. The advancement in technologies such as AI and ML has been a major factor in driving the growth of the predictive maintenance market over the forecast period. AI and ML technologies enable analysing historical data, identifying patterns, and offering accurate machine failure and maintenance predictions. AI technology will continue to improve over time as it receives more data, thereby helping improve the accuracy and reliability of predictive maintenance solutions, which would help companies reduce machinery breakdown and halt production, which helps improve operational efficiency and productivity.
The application of predictive maintenance solutions in industries such as healthcare, energy, transportation, and others has been another major factor driving the market's growth, as many companies started recognizing the potential benefits of installing predictive maintenance solutions. Companies are opting for digital transformation to ensure operational excellence; this trend will further accelerate the adoption of the predictive eminence solution, which is integrated with technologies such as IoT, AI, and ML. However, this limitation includes concerns regarding data price, complex interaction processes, and skill gaps, among others.
Gather more insights about the market drivers, restrains and growth of the Global Predictive Maintenance Market
Predictive Maintenance Market Report Highlights
• The service segment is projected to witness the highest CAGR of 31.0% from 2023 to 2030. The growth of the service segment can be attributed to service providers using numerical evaluation to create predictive models that predict equipment breakdowns and servicing needs.
• The integrated segment is projected to witness the highest CAGR of 29.5% from 2023 to 2030. The growth of the integrated segment can be attributed to ERP and CRM integrated solutions enabling improved efficiency and productivity.
• The training & consulting segment is projected to witness the highest CAGR of 31.5% from 2023 to 2030. The growth of the training & consulting segment can be attributed to a customized predictive maintenance strategy to enable catering to a wide range of businesses considering factors such as the machinery being used, maintenance information, and workflow, among others.
• The cloud segment is projected to witness the highest CAGR of 37.9% from 2023 to 2030. The growth of the cloud segment can be attributed to the ability to analyse large volumes and data and offer accurate information on the expected machinery failure maintenance/repair schedule, among others.
• Small and medium enterprises are projected to witness the highest CAGR of 31.6% from 2023 to 2030. The small and medium enterprises' growth can be attributed to the lower cost of cloud-based predictive maintenance solutions, enabling small and medium enterprises to avoid upfront investment into IT infrastructure.
• The oil analysis segment is projected to witness the highest CAGR of 31.5% from 2023 to 2030. The growth of the oil analysis segment can be attributed to information provided by the predictive penitence solution, including oil change, contamination, and changes in other chemical properties, among others.
• The aerospace & defense segment is projected to witness the highest CAGR of 30.6% from 2023 to 2030. The growth of the aerospace & defense segment can be attributed to AI and ML integrated predictive maintenance solution ability to proactively monitor the health of the asset, predict potential failure, and schedule repair & maintenance, among others.
• The Asia Pacific region is projected to witness the highest CAGR of 31.8% from 2023 to 2030. The growth of the Asia Pacific region can be attributed to increasing purchasing power, improving digital infrastructure, availability of cheaper predictive mainline solutions owing to the easy availability of raw materials, and advancement in 5G technology, among others.
• The companies in the predictive maintenance market have been coming up with strategic initiatives such as partnerships and mergers, among others, aimed at gaining traction in the market. For instance, in February 2023, Boon Logic, a provider of AI-based solution detectors, partnered with Software AG as a Premier member of the latter company’s PartnerConnect partner program to provide AI-enabled high-speed prediction service conditions for all complex assets. Through this partnership, the firms aimed to provide valuable insights related to the health and status of equipment to avoid failures.
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Segments Covered in the Report
Grand View Research has segmented the global predictive maintenance market on the basis of component, solution, service, deployment, enterprise size, monitoring technique, end use and region:
Predictive Maintenance Component Outlook (Revenue, USD Billion; 2018 - 2030)
Solution
Service
Predictive Maintenance Solution Outlook (Revenue, USD Billion; 2018 - 2030)
Integrated
Standalone
Predictive Maintenance Service Outlook (Revenue, USD Billion; 2018 - 2030)
Integration and Deployment
Support & Maintenance
Training & Consulting
Predictive Maintenance Deployment Model Outlook (Revenue, USD Billion; 2018 - 2030)
Cloud
On-premise
Predictive Maintenance Enterprise Size Outlook (Revenue, USD Billion; 2018 - 2030)
Small & Medium Enterprises
Large Enterprises
Predictive Maintenance Monitoring Technique Outlook (Revenue, USD Billion; 2018 - 2030)
Torque Monitoring
Vibration Monitoring
Oil Analysis
Thermography
Corrosion Monitoring
Others
Predictive Maintenance End Use Outlook (Revenue, USD Billion; 2018 - 2030)
Aerospace & Defense
Automotive & Transportation
Energy & Utilities
Healthcare
IT & Telecommunications
Manufacturing
Oil & Gas
Others
Predictive Maintenance Regional Outlook (Revenue, USD Billion; 2018 - 2030)
North America
U.S.
Canada
Europe
U.K.
Germany
France
Italy
Spain
Asia Pacific
China
India
Japan
Australia
South Korea
Latin America
Brazil
Mexico
Argentina
Middle East & Africa
UAE
Saudi Arabia
South Africa
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