Spain AI in Transportation Market Research Report By Offering (Hardware, Services, Software), By IoT Communication Technology (Cellular, LPWAN, LoRaWAN, Z-Wave, Zigbee, NFC, Bluetooth, Others), By Application (Autonomous Truck, Semi-autonomous Truck, Truck Platooning, Human-Machine Interface (HMI), Predictive Maintenance, Precision & Mapping, Traffic Detection, Computer Vision-Powered Parking Management, Road Condition Monitoring, Automatic Traffic Incident Detection, Driver Monitoring, Others), and By Machine Learning Technology (Deep Lear

Spain AI in Transportation Market Overview

As per MRFR analysis, the Spain AI in Transportation Market Size was estimated at 24.8 (USD Million) in 2023.The Spain AI in Transportation Market is expected to grow from 30(USD Million) in 2024 to 85 (USD Million) by 2035. The Spain AI in Transportation Market CAGR (growth rate) is expected to be around 9.93% during the forecast period (2025 - 2035)

Key Spain AI in Transportation Market Trends Highlighted

The AI in Transportation market in Spain is expanding significantly due to a number of important market factors. One important element that has encouraged the adoption of AI technologies is the Spanish government's dedication to smart city projects and sustainable mobility.

Additionally, businesses are being compelled to use AI-driven products due to the growing need for effective logistical solutions and improved safety in transportation networks. AI applications for energy management and route optimisation are growing in popularity as a result of the trend towards electrification of transportation, which is aided by regional laws encouraging electric cars.

The creation of intelligent traffic management systems, which can ease congestion and enhance urban mobility, is one of the opportunities to be investigated in Spain's AI in Transportation Market. Additionally, there is a significant chance to improve operational efficiency with AI-based predictive maintenance solutions for infrastructure and automobiles.

Another sector that is ready for investment is the development of autonomous vehicle technology, with Spain's roads serving as a possible test site for cutting-edge modes of transportation. AI adoption in transport has accelerated recently in Spain thanks to joint efforts between the public and private sectors, which have also fostered collaborations and innovation clusters.

With AI projects targeted at enhancing public transport networks and lessening their environmental impact, cities like Barcelona and Madrid are setting the standard. The need for more environmentally friendly transit options and rising public awareness are opening the door for AI applications that promote sustainability objectives.

All things considered, the proactive approach to incorporating cutting-edge technology to build more intelligent and effective transportation systems is what defines Spain's AI in Transportation Market.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

Spain AI in Transportation Market Drivers

Rapid Technological Advancements

The Spain AI in Transportation Market is witnessing accelerated growth due to rapid advancements in artificial intelligence technologies. For instance, the Spanish government recently unveiled a digitalization strategy aimed at integrating AI into transportation, focusing on enhancing transportation efficiency and reducing traffic congestion.

In Spain, approximately 72% of the transportation network is investigated to benefit from AI, according to a report by the Spanish Ministry of Transport, Mobility and Urban Agenda. This push towards digital transformation not only fosters innovation but also allows companies to develop smart solutions for mobility, such as autonomous vehicles and intelligent traffic management systems.

Major companies like Telefonica and Seat are investing heavily in AI Research and Development initiatives to enhance their transportation services, which in turn bolsters market growth, as they aim to achieve operational excellence and improved user experiences.

Government Initiatives and Policies

The Spanish government is actively promoting AI adoption in the transportation sector through various initiatives and policies. The Strategic Agenda for the Digitalization of Transport in Spain sets significant goals for infrastructure modernization using AI technologies. For instance, the plan allocates 40% of its budget to technological innovations aimed at transforming public transport.

By 2030, Spain aims to reduce greenhouse gas emissions from transport by 90% through the introduction of AI-powered solutions, based on national environmental and transport policies outlining the transition to sustainable transport systems.

The support from the government is critical, as it paves the way for substantial investments in AI infrastructure, thus reinforcing the Spain AI in Transportation Market growth trajectory.

Increasing Demand for Smart Transportation Solutions

There is a growing demand for smart transportation solutions in Spain, driven by urbanization and increasing population density. As per a report by the Spanish Federation of Municipalities and Provinces, over 80% of the population resides in urban areas, leading to increased traffic congestion and air pollution.

AI technologies such as predictive analytics, traffic monitoring, and automated systems are being adopted to mitigate these challenges. For example, companies like Indra and Amadeus are deploying AI systems in public transportation to enhance operational efficiency and passenger experiences.

These developments align with urban mobility plans across major Spanish cities, enhancing the overall appeal of the Spain AI in Transportation Market, due to the pressing need for innovative solutions.

Spain AI in Transportation Market Segment Insights

AI in Transportation Market Offering Insights

The Spain AI in Transportation Market is experiencing significant growth across its Offering segment, which is primarily categorized into Hardware, Services, and Software. The proliferation of AI technologies within the transportation sector has garnered substantial attention, as they contribute to enhanced efficiency, safety, and sustainability.

In Spain, the adoption of AI-based hardware solutions drives advancements in vehicular automation and intelligent transportation systems. This is in line with the government's initiatives to transition towards smart mobility, aiming to improve urban traffic management and reduce congestion.

Services related to AI applications in transportation offer tremendous potential, particularly in areas like real-time data analytics and fleet management. These services help optimize logistics and supply chain operations, thereby allowing companies to respond quickly to changing market demands.

With Spain's strategic emphasis on boosting its transport infrastructure, the integration of AI-driven services holds particular significance for increasing operational efficiency and bolstering competitiveness on a global scale.

Software solutions, including applications for route optimization and predictive maintenance, are essential for automating various transportation processes. These applications not only enhance the user experience for commuters but also contribute to the overall reduction of operational costs.

The Spanish government has recognized the importance of fostering innovation in transportation technology, leading to investments that further reinforce the role of AI in influencing market dynamics.

The emphasis on developing robust algorithms and intelligent systems positions Spain as a key player in the European AI in Transportation Market, providing ample opportunities for growth and transformation in this sector.

Overall, the Offering segment's diverse components, encompassing Hardware, Services, and Software, collectively empower the transportation industry in Spain to adopt smarter, cleaner, and more efficient operational practices while adapting to technological advancements and changing consumer needs.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

AI in Transportation Market IoT Communication Technology Insights

The IoT Communication Technology segment within the Spain AI in Transportation Market plays a critical role in enhancing connectivity and operational efficiency across various transportation systems. With the Spanish government actively promoting smart city initiatives, the integration of advanced communication technologies is becoming increasingly significant.

Cellular networks ensure broad coverage and support high data rates necessary for real-time vehicle tracking and communication systems. Meanwhile, technologies like Low Power Wide Area Network (LPWAN) and LoRaWAN are vital for their ability to connect numerous devices over wide areas with low power consumption, which is essential for managing smart infrastructure.

Zigbee and Z-Wave are also noteworthy due to their application in connecting smart devices for monitoring and automation purposes, while Bluetooth provides short-range communication solutions crucial in enhancing user experiences.Lastly, Near Field Communication (NFC) facilitates secure transactions and access control systems in public transport, making it a key player in the user interface of smart transport solutions.

Together, these technologies support the overarching aim of creating a more integrated, efficient, and sustainable transportation ecosystem in Spain, reflecting ongoing market trends toward digital transformation and the implementation of innovative solutions.

AI in Transportation Market Application Insights

The Spain AI in Transportation Market exhibits a dynamic Application segment, crucial for enhancing operational efficiency and safety within the transport sector. Applications such as Autonomous Trucks and Semi-autonomous Trucks are pivotal, marking a shift towards fully automated transport solutions, significantly optimizing logistics and reducing human error.Truck Platooning showcases how vehicles can communicate in real-time, improving fuel efficiency and reducing traffic congestion. The Human-Machine Interface (HMI) is gaining traction, as it enhances driver engagement and safety.

Predictive Maintenance plays a critical role, using AI to forecast equipment failures, hence minimizing downtime and maintenance costs. Precision and Mapping technologies are essential for navigating the complex Spanish terrain, enhancing route planning and traffic management. Traffic Detection systems are increasingly integrated in urban areas to monitor and optimize traffic flow.

Additionally, Computer Vision-Powered Parking Management and Road Condition Monitoring applications are substantial for urban planning and road safety. Automatic Traffic Incident Detection and Driver Monitoring solutions are crucial for ensuring safer roads and responding to emergencies effectively.

Overall, these applications signify a transformative period for the transportation industry in Spain, presenting substantial growth opportunities and innovative solutions for future challenges.

AI in Transportation Market Machine Learning Technology Insights

The Machine Learning Technology segment within the Spain AI in Transportation Market is witnessing substantial growth driven by various transformative technologies. Deep Learning serves as a pivotal foundation, enhancing the ability of systems to analyze vast amounts of data, thereby improving decision-making processes in autonomous vehicles.

In parallel, Computer Vision technology is gaining prominence as it enables vehicles and infrastructure to interpret visual information, allowing for safer navigation and enhanced traffic management systems. Natural Language Processing plays a vital role in improving human-machine interaction, enabling better communication for transport users through voice recognition and automated systems.Context Awareness is becoming significant as it allows AI systems to adapt to varying environmental conditions, ensuring that transportation solutions are responsive and efficient.

The continuous integration of these technologies is set to significantly impact the Spain AI in Transportation Market, reinforcing the need for innovative solutions that cater to the evolving demands of the transportation sector in Spain, a country known for its commitment to smart mobility initiatives.The collaboration between government entities and technology firms further propels this market growth, highlighting the relevance of machine learning in shaping future urban transport landscapes.

Spain AI in Transportation Market Key Players and Competitive Insights

The Spain AI in Transportation Market has witnessed significant transformations, driven by advancements in artificial intelligence technologies that are reshaping how transportation services are delivered.Numerous companies are innovating within this space, tapping into the potential of AI to enhance operational efficiency, safety, and user experience. This competitive landscape encompasses a wide range of applications, including autonomous driving systems, traffic management solutions, predictive maintenance, and ride-hailing services.

As more businesses leverage AI to optimize logistics and improve customer interaction, the competitive dynamics of the market are evolving rapidly, indicating a robust growth trajectory fueled by both local and international players. Understanding the competitive strategies and market positions of key entities is essential for stakeholders seeking to navigate this bustling environment effectively.

Indra Sistemas stands as a major player in Spain's AI in Transportation Market, showcasing a strong focus on deploying innovative AI solutions tailored for various transportation applications. The company is renowned for its expertise in developing intelligent transportation systems aimed at optimizing traffic management, facilitating efficient public transport services, and enhancing logistics capabilities.

With a significant market presence, Indra Sistemas leverages its technological capabilities to offer solutions that improve operational efficiency while simultaneously reducing environmental impact.The company's robust portfolio of AI-driven services not only strengthens its position in Spain but also reinforces its reputation as a leader in utilizing cutting-edge technology for smart urban mobility and integrated transport solutions. This strength is critical in a competitive landscape where efficiency and sustainability are increasingly paramount.

Uber operates prominently within the Spain AI in Transportation Market, especially known for its ride-hailing services which utilize advanced AI algorithms to connect drivers and riders efficiently. The company has effectively established itself in major cities across Spain, adapting its offerings to cater to local demands and regulatory environments.

Uber's strengths lie in its user-friendly application, data-driven insights for pricing strategies, and compositing a network of drivers that ensures prompt service delivery. In recent years, the company has explored partnerships and investments aimed at enhancing its services, such as integrating public transport information into its app to facilitate seamless urban mobility.

These initiatives further emphasize Uber's commitment to employing AI for improving customer experience and optimizing ride logistics, thereby maintaining a strong foothold in Spain's competitive transportation sector. The combination of innovative services and strategic partnerships continues to reinforce Uber's market presence, making it a key player in Spain's evolving transportation landscape.

Key Companies in the Spain AI in Transportation Market Include

• Indra Sistemas


• Uber


• Capgemini


• Cepsa


• Accenture


• Atos


• DHL


• Ferrovial


• Microsoft


• Oracle


• SENER Group


• Alstom

Spain AI in Transportation Market Developments

In order to ease traffic and enhance bus flow, the city of Alcorcón deployed 54 smart cameras and a cutting-edge traffic platform in November 2024 as part of an AI-driven intelligent traffic management and public transportation prioritisation system.

Barcelona began testing AI-based cameras on bus lines H12 and D20 in February 2025 to identify and record lane blockages, improving travel efficiency and punctuality through automated monitoring.

An autonomous driverless minibus created by TECNALIA in partnership with EMT Madrid, Indra, and Irizar e-Mobility was unveiled by Madrid during European Mobility Week in October 2024, showcasing AI-powered public transport prototypes in an actual urban environment.

At the their European Congress in Seville in May 2025, the Spanish firm xyzt.ai demonstrated their sophisticated movement route data analytics, emphasising AI solutions for optimising traffic flow on the A-49 freeway.

Furthermore, in January 2025, the Spanish government announced €150 million in subsidies to boost AI integration across industries, including intelligent transport efforts, demonstrating broader industrial momentum.

These achievements demonstrate Spain's dedication to incorporating AI technology into its transportation network, enhancing data-driven traffic planning, public transportation management, and urban mobility.

Spain AI in Transportation Market Segmentation Insights

AI in Transportation Market Offering Outlook

• Hardware


• Services


• Software

AI in Transportation Market IoT Communication Technology Outlook

• Cellular


• LPWAN


• LoRaWAN


• Z-Wave


• Zigbee


• NFC


• Bluetooth


• Others

AI in Transportation Market Application Outlook

• Autonomous Truck


• Semi-autonomous Truck


• Truck Platooning


• Human-Machine Interface (HMI)


• Predictive Maintenance


• Precision & Mapping


• Traffic Detection


• Computer Vision-Powered Parking Management


• Road Condition Monitoring


• Automatic Traffic Incident Detection


• Driver Monitoring


• Others

AI in Transportation Market Machine Learning Technology Outlook

• Deep Learning


• Computer Vision


• Natural Language Processing


• Context Awareness

 

Report Attribute/Metric Source:	Details
MARKET SIZE 2023	24.8(USD Million)
MARKET SIZE 2024	30.0(USD Million)
MARKET SIZE 2035	85.0(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR)	9.93% (2025 - 2035)
REPORT COVERAGE	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR	2024
MARKET FORECAST PERIOD	2025 - 2035
HISTORICAL DATA	2019 - 2024
MARKET FORECAST UNITS	USD Million
KEY COMPANIES PROFILED	Indra Sistemas, Uber, Capgemini, Cepsa, Accenture, Siemens, Atos, DHL, Ferrovial, Microsoft, Oracle, IBM, SENER Group, Alstom
SEGMENTS COVERED	Offering, IoT Communication Technology, Application, Machine Learning Technology
KEY MARKET OPPORTUNITIES	Autonomous vehicle technology advancements, Smart traffic management solutions, AI-enabled predictive maintenance, Enhanced logistics and supply chain optimization, Real-time passenger experience improvements
KEY MARKET DYNAMICS	Regulatory support for AI adoption, Growing investment in smart transport, Increasing emphasis on sustainability, Rising demand for autonomous vehicles, Enhanced data analytics capabilities
COUNTRIES COVERED	Spain