Published: August 25, 2026
Rising industrial robot installations requiring ongoing servicing are emerging as the single largest force behind the market's decade-long expansion.
The global Robot Preventive Maintenance Market was valued at USD 7.59 billion in 2025 and is estimated to reach USD 9.36 billion in 2026, according to Next Move Strategy Consulting (NMSC). The market is projected to expand to USD 23.36 billion by 2035, growing at a compound annual growth rate (CAGR) of 10.69% between 2026 and 2035. NMSC's August 25, 2026 edition identifies the expanding installed base of industrial robots, accelerating predictive-maintenance adoption, and increasing mobile-robot deployment as key forces reshaping service demand.
Asia-Pacific remains the revenue anchor, accounting for approximately USD 4.71 billion, or 62%, of 2025 global revenue and is also the fastest-growing region at an estimated 11.78% CAGR through 2035. Within maintenance strategies, scheduled maintenance remains dominant, while predictive maintenance is advancing faster as manufacturers adopt digital-twin simulation, condition monitoring, and failure forecasting.
Scheduled maintenance led the market at USD 4.49 billion in 2025, representing approximately 59% of global revenue; predictive maintenance is the fastest-growing maintenance type at 13.70% CAGR through 2035.
Mobile robots are the fastest-growing robot type at 14.28% CAGR, while industrial robots remain the largest robot-type category at USD 4.56 billion in 2025.
OEM Service was the largest provider category at USD 2.60 billion in 2025, while software vendors are the fastest-growing provider type at 14.28% CAGR.
China was the largest country market at approximately USD 2.55 billion in 2025, while India is the fastest-growing covered country at approximately 17.2% CAGR through 2035.
The market is expected to generate an absolute dollar opportunity of USD 14.00 billion between 2026 and 2035, reflecting expanding demand for predictive platforms, mobile-robot fleet services, and Asia-Pacific maintenance infrastructure.
Based on NMSC's research, the largest contributor to forecast growth is the rising installed base of industrial robots requiring ongoing servicing, estimated to contribute +2.1 percentage points to CAGR. As robot deployments expand across automotive, electronics, metals, and other automated production environments, the addressable maintenance base grows through recurring inspection, lubrication, calibration, diagnostics, and replacement requirements. NMSC's assessment indicates that this installed-base effect provides the market's most durable source of baseline service demand through 2035.
A second structural catalyst is the increasing use of predictive-maintenance software to identify abnormal operating conditions before they lead to production interruptions. Siemens currently positions Senseye Predictive Maintenance as an industrial AI and analytics approach that detects early failure signals and prioritizes maintenance actions across assets and sites; its published automotive case study reports remote monitoring of more than 10,000 machines, including robots. FANUC likewise uses ZDT to centralize failure prediction, maintenance, and system monitoring for connected robots.
NMSC identifies the high upfront cost of retrofitting legacy robots with condition-monitoring sensors as the leading restraint, with an estimated −1.0 percentage-point impact on CAGR. Aging fleets may lack native sensor connectivity, requiring additional instrumentation, integration, and engineering work before operators can introduce real-time monitoring. NMSC also identifies a shortage of skilled robot-maintenance technicians, estimated at −0.7 percentage points, as a constraint on service-capacity expansion, particularly where complex robotic subsystems require specialized diagnostics.
An emerging technology opportunity lies in digital-twin-enabled predictive maintenance and fleet-level analytics. NMSC identifies mobile-robot fleet analytics, retrofit sensor kits, and Asia-Pacific service-network expansion as key opportunity areas, particularly for automated guided vehicles and autonomous mobile robots in logistics and warehousing. The report also notes that software vendors can capture recurring subscription revenue by combining battery-health monitoring, component-wear forecasting, and real-time diagnostics into fleet-management platforms.
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|
Region |
2025 (USD) |
2035 (USD) |
CAGR% (2026-2035) |
|
North America |
0.96 Billion |
2.21 Billion |
7.52% |
|
Europe |
1.31 Billion |
3.55 Billion |
9.23% |
|
Asia-Pacific |
4.71 Billion |
16.01 Billion |
11.78% |
|
Middle East and Africa (MEA) |
0.35 Billion |
1.04 Billion |
10.28% |
|
Latin America |
0.26 Billion |
0.56 Billion |
6.92% |
|
Total |
7.59 Billion |
23.36 Billion |
10.69% |
The public report page confirms that a dedicated global regional table is included as Table 100, but its row-level numerical values are not exposed in the accessible page text; therefore, those figures are left unaltered rather than estimated.
“The next phase of robot maintenance is moving beyond scheduled servicing toward data-led reliability management. Providers that combine AI, sensors, connected monitoring and lifecycle expertise can help manufacturers reduce unplanned downtime while extending the useful life of installed robotic assets.” — Jayanta Das, Senior Research Analyst, Next Move Strategy Consulting
This direction is supported by current industry activity. FANUC is emphasizing maintainability and lower maintenance workloads in newer robot designs, while KUKA continues to position data-driven predictive maintenance and remote service as elements of connected factory operations.
The report profiles 15 companies, including ABB, FANUC, KUKA, Yaskawa Motoman, Kawasaki Robotics, Mitsubishi Electric, Comau, Universal Robots (UR), Staubli Robotics, Nachi-Fujikoshi (Nachi Robotics), DENSO, EPSON Robots, Bell And Howell, Global Electronic Services (GES), and Acieta, with additional competitive coverage of ATS Automation, Siemens, Rockwell Automation, Bosch Rexroth, and ICR Services.
On May 18, 2026, FANUC announced its DR/8-16B Stainless parallel-link robot for food-industry applications, emphasizing improved maintainability through battery-less pulse coders that remove periodic battery replacement and simplify maintenance requirements; mass production is scheduled for August 2026.
On March 30, 2026, FANUC published its AI Servo Monitor preventive-maintenance offering, designed to automatically collect and analyze motor-torque data during normal production and identify early indicators of drive-system failures, strengthening the shift toward data-driven maintenance.
On July 16, 2025, KUKA highlighted predictive maintenance as a core element of the data-driven factory, describing the use of sensor data such as temperature, vibration, sound, and pressure combined with AI and machine learning to detect anomalies and support maintenance before failures occur.
Segmentation: By Robot Type, Mobility, Maintenance Strategy, Industry Vertical, and Region; robot types include industrial robots, collaborative robots, service robots, and exoskeletons.
Coverage: 28 countries across North America, Europe, Asia-Pacific, and the Rest of the World, including the U.S., Canada, Mexico, the U.K., Germany, France, China, Japan, India, South Korea, Australia, Indonesia, Singapore, Taiwan, and Thailand.
Companies profiled: 15, including ABB, FANUC, KUKA, Yaskawa Motoman, Kawasaki Robotics, and Mitsubishi Electric.
Liza Phukan
— Liza Phukan is Research Associate at Next Move Strategy Consulting, where she has covered emerging industries and market research across sectors for 3.5 years. Her work includes analyzing industry developments, validating market data, and developing structured business content from research findings. She uses secondary research and data-validation practices to turn complex market information into clear decision-useful market analysis for business audiences and support report development and B2B.
Supradip Baul
— Supradip Baul is an accomplished business consultant and strategist with over a decade of rich experience in market intelligence, strategy, technology, and business transformation. His work has included rigorous qualitative and quantitative analysis across multiple industries, helping clients shape investment decisions and long-term roadmaps. Earlier in his career, he was associated with Gartner, where he contributed to industry-leading reports and market share analyses. He has worked with leading global companies and holds an MBA with a dual specialization in Marketing and Finance.
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