The Business Research Company’s The Street Maintenance Artificial Intelligence (AI) Market is projected to grow to US $3.26 billion by 2030.
LONDON, GREATER LONDON, UNITED KINGDOM, January 30, 2026 /EINPresswire.com/ — “The integration of artificial intelligence (AI) in street maintenance is transforming how cities manage their road infrastructure. With increasing urbanization and technological advancements, this market is gaining momentum, promising smarter, more efficient solutions for maintaining streets. Let’s explore the current market size, growth drivers, key regional insights, and the evolving trends shaping this sector.
Street Maintenance Artificial Intelligence Market Size and Growth Outlook
The street maintenance artificial intelligence (AI) market has experienced significant growth in recent years. It is projected to rise from $1.35 billion in 2025 to $1.61 billion in 2026, reflecting a compound annual growth rate (CAGR) of 19.5%. This expansion during the historical period is largely driven by rapid urbanization, increased pressure on road infrastructure, a surge in municipal digitalization efforts, the proliferation of smart city projects, and growing demand for more efficient maintenance methods.
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Looking ahead, the market is expected to accelerate further, reaching $3.26 billion by 2030, with a slightly adjusted CAGR of 19.3%. Key factors behind this forecast include the rising adoption of automated inspection technologies, heightened investments in smart mobility solutions, the expanding deployment of connected infrastructure, broader implementation of AI-powered public services, and the need for cost-effective street maintenance. Innovations anticipated to shape the market include advancements in computer vision, autonomous inspection tools, geospatial analytics, predictive algorithm development, and integrated urban maintenance platforms.
Understanding Street Maintenance AI Technology
Street maintenance artificial intelligence (AI) leverages advanced algorithms to detect road damages, evaluate pavement conditions, and assist in infrastructure upkeep. By processing data collected from cameras, sensors, and drones, the technology can accurately identify issues such as cracks and potholes. This automation streamlines inspection processes and decision-making, enabling municipalities to maintain safer, more efficient road networks with minimized manual labor.
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Key Factors Accelerating Growth in Street Maintenance AI
The surge in demand for automation is a primary driver for the street maintenance artificial intelligence market’s expansion. Automation utilizes technology to perform tasks with limited human intervention, enhancing efficiency, accuracy, and productivity. Facing labor shortages, industries increasingly rely on automated systems to sustain production levels and meet deadlines. In the context of street maintenance AI, automation facilitates faster detection of road defects, optimizes repair operations, and reduces the need for manual inspections, which ultimately leads to safer infrastructure and smoother city management.
Supporting this trend, data from the International Federation of Robotics (a Germany-based non-profit) reported that in 2024, around 4.66 million industrial robots were operational worldwide—an increase of 9% compared to the previous year. Such developments underscore the rising importance of automation technologies in various sectors, including street maintenance.
Regional Breakdown of the Street Maintenance AI Market
In terms of geography, North America held the largest share of the street maintenance artificial intelligence market in 2025. Meanwhile, the Asia-Pacific region is poised to be the fastest-growing market during the forecast period. The overall market report examines key regions such as Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, providing a comprehensive perspective on global market trends.
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