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Street Maintenance Artificial Intelligence (AI) Market Revenue Outlook: What CAGR Is Expected Through 2030?
The street maintenance artificial intelligence (AI) market has seen swift expansion in recent years. Its value is expected to climb from $1.35 billion in 2025 to $1.61 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 19.5%. This historical growth can be linked to factors like increasing urbanization, the mounting pressure on road infrastructure, rising municipal digitalization, the expansion of smart city initiatives, and a greater demand for efficient maintenance practices.
The street maintenance artificial intelligence (AI) market size is projected to experience swift expansion over the coming years. This market is anticipated to reach $3.26 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 19.3%. This projected growth is driven by factors such as the increasing embrace of automated inspection solutions, greater investment in intelligent mobility, the expanding implementation of connected infrastructure, the wider availability of artificial intelligence (AI)-powered public services, and the heightened demand for economical street upkeep. Key trends during this period are expected to encompass technological breakthroughs in computer vision, novel developments in autonomous inspection instruments, progress in geospatial analytics, ongoing research and development in predictive algorithms, and improvements in integrated urban maintenance platforms.
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Street Maintenance Artificial Intelligence (AI) Market Expansion Drivers: What Is Shaping Future Growth?
The increasing demand for automation is anticipated to propel the growth of the street maintenance artificial intelligence (AI) market throughout the forecast period. Automation refers to the application of technology and systems to perform tasks with minimal human intervention, enhancing efficiency, accuracy, and productivity. The need for automation is rising as various industries encounter growing labor shortages and increasingly rely on machinery to maintain production levels and meet delivery deadlines. Automation supports street maintenance AI by enabling faster identification of road issues, optimizing repair processes, and minimizing the necessity for manual inspections, which contributes to safer infrastructure and more efficient city operations. For instance, in September 2025, according to the International Federation of Robotics, a Germany-based non-profit organization, in 2024, there were approximately 4.66 million industrial robots actively operating worldwide, marking a 9% rise from the prior year. Therefore, the escalating demand for automation is driving the expansion of the street maintenance artificial intelligence (AI) market.
Street Maintenance Artificial Intelligence (AI) Market Segmentation: How Is The Market Structured Across Key Categories?
The street maintenance artificial intelligence (AI) market covered in this report is segmented –
1) By Component: Software, Hardware, Services
2) By Deployment Mode: On-Premises, Cloud
3) By Application: Pothole Detection, Road Surface Monitoring, Asset Management, Traffic Management, Predictive Maintenance, Other Applications
4) By End-User: Municipalities, Government Agencies, Private Contractors, Other End-Users
Subsegments:
1) By Software: Predictive Analytics, Computer Vision, Machine Learning Platforms, Geographic Information System Integration, Data Management Tools, Traffic Pattern Analysis, Image Processing Software
2) By Hardware: Cameras, Sensors, Mobile Mapping Systems, Global Positioning System Devices, Unmanned Aerial Vehicles, Edge Computing Devices, Roadside Monitoring Units
3) By Services: Installation Services, Maintenance Services, System Integration Services, Data Analysis Services, Consulting Services, Training Services, Remote Monitoring Services
Street Maintenance Artificial Intelligence (AI) Market Strategic Trends: What Is Defining The Next Phase Of Growth?
Major companies in the Legionella risk management market are focusing on the development of advanced diagnostic solutions, such as highly automated, high-throughput assays. This emphasis aims to boost detection speed, enhance diagnostic accuracy, and ultimately reduce the risk of misdiagnosis and associated mortality. Highly automated, high-throughput assays refer to sophisticated laboratory tests that facilitate the rapid and precise identification of Legionella antigens, thereby confirming a diagnosis of Legionnaires’ disease. For example, in July 2023, DiaSorin, an Italy-based diagnostics company, launched the LIAISON Legionella Urinary Antigen Assay in all CE-mark-accepting countries. This assay is a fully automated immunodiagnostic test engineered to operate on the company’s LIAISON® CLIA analyzers. It features an innovative “dual-antigen” design, which enables the simultaneous detection of antigens from both Legionella pneumophila and Legionella longbeachae. This improves the test’s sensitivity and specificity, allowing it to differentiate Legionnaires’ disease from other lung infections. Additionally, it delivers results in only 35 minutes, which supports timely and targeted antimicrobial treatment and enhances case management to decrease mortality rates for this serious type of pneumonia.
Street Maintenance Artificial Intelligence (AI) Market Competitive Landscape And Leading Companies
Major companies operating in the street maintenance artificial intelligence (AI) market are Compagnie Générale des Établissements Michelin SCA, Trimble Inc., Fugro N.V., AlmavivA Group, Environmental Systems Research Institute Inc., Bentley Systems Incorporated, Vaisala Oyj, Nexar Ltd., Gaist ApS, Autoscope Technologies Corporation, vialytics GmbH, GoodVision Ltd., Rasta.AI GmbH, Strayos Inc., Valerann Ltd., RoadAthena Ltd., ScanwAi AB, FlyPix AI Ltd., Citylogix Inc., Pavemetrics Inc.
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Street Maintenance Artificial Intelligence (AI) Market Regional Outlook: Where Are The Largest Opportunities Located?
North America was the largest region in the street maintenance artificial intelligence (AI) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the street maintenance artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.