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Port equipment predictive maintenance market seen reaching $2.87 billion by 2030

May 19, 2026
Port equipment predictive maintenance market seen reaching $2.87 billion by 2030

By AI, Created 1:00 PM UTC, May 19, 2026, /AGP/ – The Business Research Company says the global port equipment predictive maintenance market will grow from $1.22 billion in 2025 to $2.87 billion by 2030 as ports use more AI, IoT sensors and automation to cut downtime. Asia-Pacific held the largest share in 2025, while North America is forecast to grow fastest.

Why it matters: - Ports are under pressure to move more cargo with less downtime, making predictive maintenance a direct operational cost and reliability issue. - The market outlook points to faster adoption of AI, connected sensors and cloud-based maintenance tools across port infrastructure. - Predictive maintenance can help ports detect failures earlier on critical equipment such as cranes and forklifts.

What happened: - The Business Research Company projected the port equipment predictive maintenance market will rise from $1.22 billion in 2025 to $1.44 billion in 2026. - The firm forecast the market will reach $2.87 billion by 2030. - The report estimates an 18.6% compound annual growth rate for the 2025-2026 period and 18.8% CAGR through 2030. - The report was released May 19, 2026, from London. - The company made a free sample report available. - The company also published the full market report.

The details: - Predictive maintenance in port equipment uses real-time data and analytics to anticipate failures before they happen. - The approach monitors vibration, temperature and usage patterns to schedule maintenance and reduce unplanned downtime. - The 2025-2026 growth period reflects pressure from rising equipment downtime, reactive maintenance practices, basic monitoring adoption and higher operating costs. - The forecast period is being shaped by AI-powered predictive maintenance, IoT sensor integration, lower downtime targets, cloud-based maintenance investment and smart port infrastructure. - Expected market features include real-time equipment health monitoring, predictive analytics, remote diagnostics, integration with port management systems and AI-driven maintenance scheduling. - Rising international trade volumes are lifting cargo throughput and increasing the need to keep port equipment running reliably. - UNCTAD reported 2.4% growth in total seaborne trade in 2024, with containerized trade expected to grow an average of 2.7% annually from 2025 to 2029. - Automation is also expanding as ports use technology to reduce human intervention in loading, unloading and container movement. - The U.S. Government Accountability Office said in March 2024 that all 10 major container ports in the U.S. had integrated automation technologies for cargo handling, with at least one terminal at each port using systems to monitor and manage container movements. - In 2025, Asia-Pacific held the largest share of the market. - North America is projected to post the fastest growth during the forecast period. - The report covers Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa.

Between the lines: - The market forecast reflects a broader shift from reactive repairs to condition-based maintenance in logistics infrastructure. - Ports that adopt predictive systems sooner may gain an efficiency edge as cargo volumes and automation increase. - The regional split suggests mature port markets are still expanding, while Asia-Pacific remains the biggest demand center.

What’s next: - Vendors are likely to focus on AI models, sensor platforms and software that fit into existing port management systems. - Growth will likely track continued trade expansion, wider automation and capital spending on smart port upgrades. - The report points to increasing demand for remote diagnostics and maintenance scheduling tools as ports look to limit outages.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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