Predictive Maintenance Market To Reach $98.16 Billion By 2033

January 2026 | Report Format: Electronic (PDF)

Predictive Maintenance Market Growth & Trends

The global predictive maintenance market size is projected to reach USD 98.16 billion by 2033, registering a CAGR of 27.9% from 2026 to 2033, 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.

The predictive maintenance solution providers have been constantly improving the functionalities of the offering, which has been gaining traction in the market. Integrated platforms, such as a combination of predictive maintenance systems and smart technologies such as asset management, enterprise resource planning, and condition monitoring, are witnessing increased consumer adoption rates. The availability of such solutions would enable businesses to facilitate data-driven decision-making, improve efficiency; productivity, and optimize resources, among others.

The advancement in cloud computing technologies has positively impacted the predictive mainline market, as cloud-based solutions offer scalability and flexibility in managing infrastructure and processing a large amount of data generated by the sensors integrated into the machinery. The delivery of cloud-based predictive maintenance solutions has made them more accessible to a wider range of audiences, especially SMEs, owing to eliminating the cost of IT infrastructure requirements. Another major trend in the predictive maintenance market is the integration of technologies such as AR and VR, which enable technicians to visualize the health data of the equipment and repair & maintenance procedures to be followed. AR and VR tools further help improve the efficiency and effectiveness of the repair works by reducing the chances of error.

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Predictive Maintenance Market Report Highlights

The solution segment dominated the market and accounted for the revenue share of 80.1% in 2025 due to the increasing adoption of integrated analytics platforms that combine IoT, AI, and machine learning for real-time asset monitoring.
The integrated segment dominated the market, accounting for the largest revenue share in 2025, as organizations increasingly seek unified platforms that combine data acquisition, real-time monitoring, analytics, and visualization within a single ecosystem.
The integration and deployment segment dominated the market and accounted for the largest revenue share in 2025. The shift toward geographically distributed operations and remote monitoring has increased the demand for professional services.
The on-premise segment dominated the market and accounted for the largest revenue share in 2025 due to organizations’ preference for control, security, and data privacy.
The large enterprises segment dominated the market and accounted for the largest revenue share in 2025. Regulatory compliance, safety, and sustainability goals drive large enterprises to invest in predictive maintenance.
The vibration monitoring segment dominated the market and accounted for the largest revenue share in 2025 due to the advancement in sensor technology and IoT integration.
The manufacturing segment dominated the market and accounted for the largest revenue share in 2025 due to the adoption of Industry 4.0 technologies.
The predictive maintenance market in North America dominated the global market with the largest revenue share of 33.4% in 2025, driven by the rapid adoption of Industry 4.0 and smart factory initiatives.

Predictive Maintenance Market Segmentation

Grand View Research has segmented the global predictive maintenance market report based on component, solution, services, deployment, enterprise size, monitoring technique, end use, and region:

Predictive Maintenance Component Outlook (Revenue, USD Billion, 2021 - 2033)