Industrial predictive maintenance market seen reaching $15.37 billion by 2030

The Business Research Company says the global industrial predictive maintenance market is expanding quickly as factories adopt AI, IoT and Industry 4.0 tools to reduce downtime and cut maintenance costs. The firm projects the market will rise from $6.87 billion in 2025 to $15.37 billion by 2030.

Why it matters: - Industrial predictive maintenance is becoming a core tool for manufacturers trying to prevent unplanned downtime, extend equipment life and lower maintenance costs. - The market’s growth reflects a broader shift toward smarter factories, connected assets and more data-driven operations. - Companies that can predict failures earlier can keep production running and reduce expensive interruptions.

What happened: - The Business Research Company released its Industrial Predictive Maintenance Global Market Report 2026 covering market size, trends and forecasts through 2035. - The report says the market will grow from $6.87 billion in 2025 to $8.06 billion in 2026. - The report forecasts the market will reach $15.37 billion by 2030. - The report says the market is on track for a 17.3% CAGR in the 2025-2026 period and a 17.5% CAGR through 2030.

The details: - Predictive maintenance uses sensors, IoT devices, AI, machine learning and equipment condition data to anticipate failures before they happen. - The approach is designed to minimize unplanned downtime, optimize maintenance scheduling, extend asset lifespans and improve operational reliability. - Historical growth has been driven by the need to prevent downtime, wider use of sensor-based monitoring, industrial automation in manufacturing, higher costs for aging equipment and computerized maintenance management systems. - Future growth is expected to come from wider use of AI and machine learning for maintenance, a stronger focus on operational efficiency, more smart factories, more connected industrial systems and greater deployment of IoT-enabled predictive monitoring. - Sustainability goals and efforts to extend asset lifecycles are also supporting demand. - The report highlights AI-powered failure prediction, IoT sensor networks for real-time monitoring, cloud-based predictive analytics, edge computing for faster condition checks and digital twin integration as key trends. - The report covers Asia-Pacific, Southeast Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - The 2026 report edition adds market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based dashboards, market hotspots infographics, and updated technology and future-trend analysis. - A free sample of the report is available here. - The full report is available here.

Between the lines: - Industry 4.0 is the main accelerator behind the market, since connected machines and analytics make predictive maintenance more practical and more valuable. - Rockwell Automation said in March 2024 that 95% of manufacturers were using or evaluating smart manufacturing technologies in 2024, up from 84% in 2023. - That adoption trend suggests predictive maintenance is moving from a niche efficiency play to a standard industrial capability.

What's next: - The Business Research Company expects AI, IoT and digital twin tools to keep expanding their role in maintenance planning. - North America held the largest market share in 2025. - Asia-Pacific is expected to be the fastest-growing region during the forecast period, helped by manufacturing expansion and smart factory investment. - The company says the market will continue to be shaped by operational efficiency demands, sustainability goals and broader industrial digitization.

The bottom line: - Predictive maintenance is moving deeper into mainstream industrial operations as manufacturers invest in tools that reduce downtime, improve reliability and protect costly equipment.