Rapport d’analyse de la taille, de la part et des tendances du marché mondial des voitures autonomes/à conduite autonome – Aperçu du secteur et prévisions jusqu’en 2031

Analyse du marché des voitures autonomes

Le marché des voitures autonomes connaît une croissance significative, tirée par les progrès de l'intelligence artificielle (IA) , de la technologie des capteurs et par la demande croissante de solutions de transport plus sûres et plus efficaces. La volonté de réduire les erreurs humaines, qui sont l'une des principales causes d'accidents de la route, a accéléré l'adoption de véhicules autonomes . Les principaux constructeurs automobiles et les entreprises technologiques investissent massivement dans la recherche et le développement pour améliorer les capacités des systèmes de conduite autonome, allant des véhicules de niveau 2 (automatisation partielle) au niveau 5 (automatisation complète). En outre, les réglementations gouvernementales favorables et l'intégration de véhicules autonomes dans les services de covoiturage et de logistique élargissent les opportunités du marché. 

Taille du marché des voitures autonomes

Français La taille du marché mondial des voitures autonomes/à conduite automatique était évaluée à 98,95 milliards USD en 2023 et devrait atteindre 620,67 milliards USD d'ici 2031, avec un TCAC de 25,8 % au cours de la période de prévision de 2024 à 2031. En plus des informations sur les scénarios de marché tels que la valeur marchande, le taux de croissance, la segmentation, la couverture géographique et les principaux acteurs, les rapports de marché organisés par Data Bridge Market Research comprennent également une analyse approfondie des experts, une production et une capacité géographiquement représentées par l'entreprise, des configurations de réseau de distributeurs et de partenaires, une analyse détaillée et mise à jour des tendances des prix et une analyse des déficits de la chaîne d'approvisionnement et de la demande.

Tendances du marché des voitures autonomes

« Adoption croissante des services de covoiturage »

The increasing integration of autonomous vehicles into ride-sharing platforms is a transformative trend reshaping the transportation landscape. Autonomous ride-sharing offers a compelling solution to the challenges of urban mobility, where traffic congestion, parking scarcity, and the high costs associated with vehicle ownership are major concerns. Autonomous vehicles can operate continuously without the need for human drivers, significantly reducing operational costs for ride-sharing companies like Uber, Lyft, and others. This reduction in costs can be passed on to consumers, making ride-sharing services more affordable and appealing.

Moreover, autonomous vehicles in ride-sharing fleets promise greater efficiency and reliability. Without the variability of human drivers, these vehicles can provide consistent service, optimize routes in real-time, and reduce wait times for passengers. This efficiency not only improves the user experience but also enhances the overall sustainability of urban transportation by reducing the number of vehicles on the road and lowering emissions. The trend of integrating autonomous vehicles into ride-sharing platforms also has the potential to accelerate the development and deployment of self-driving technology. As these services expand, they generate valuable data that can be used to refine and enhance autonomous driving systems, driving further innovation in the field.

Report Scope and Market Segmentation       

Autonomous/Self-Driving Cars Market Definition

Autonomous or self-driving cars are vehicles equipped with advanced sensors, cameras, radar, and artificial intelligence (AI) systems that enable them to navigate and operate without human intervention. These vehicles are designed to analyze their environment, make decisions, and control driving functions such as steering, braking, and acceleration.                  

Autonomous/Self-Driving Cars Market Dynamics

Drivers

• Increasing Demand for Safety and Accident Reduction

The potential of autonomous vehicles to significantly reduce traffic accidents caused by human error is a key driver of market growth. Human error accounts for the majority of road accidents, leading to fatalities, injuries, and substantial economic costs. Autonomous vehicles, equipped with advanced sensors, artificial intelligence, and machine learning algorithms, can make real-time decisions that minimize the risk of collisions. As consumers become more aware of the safety benefits, their demand for self-driving cars increases. Governments and regulatory bodies are also supporting the adoption of autonomous vehicles as a means to enhance road safety and reduce accident-related costs. This growing focus on safety is propelling the development and deployment of autonomous vehicles, making it a critical driver for the market.

• Growing Investment by Automotive and Tech Companies

Major automotive manufacturers and technology companies are heavily investing in the development and deployment of autonomous vehicle technology, which is a significant driver of market expansion. These investments are aimed at advancing the underlying technologies, such as AI, sensors, and connectivity, which are essential for self-driving cars to operate safely and efficiently. Automotive giants like Tesla, General Motors, and Ford, along with tech leaders like Google and Apple, are pouring billions of dollars into research and development, strategic partnerships, and acquisitions to stay competitive in the autonomous vehicle race. These investments are accelerating the pace of innovation, bringing autonomous vehicles closer to widespread adoption, and driving the market forward.

Opportunities

• Increasing Focus on Autonomous Delivery Vehicles

The rapid growth of e-commerce and the rising demand for faster delivery services are creating significant opportunities for autonomous delivery vehicles, particularly in last-mile logistics. As online shopping becomes increasingly popular, the need for efficient, timely, and cost-effective delivery solutions has intensified. Autonomous delivery vehicles, including drones and self-driving vans, offer a solution by reducing labor costs, improving delivery speed, and minimizing human error. Retail giants like Amazon and Walmart are already experimenting with these technologies to enhance their logistics operations. The growing focus on autonomous delivery vehicles is not only transforming the logistics industry but also opening new avenues for growth in the autonomous vehicle market.

• Autonomous Vehicle-as-a-Service (AVaaS) Models

Autonomous Vehicle-as-a-Service allows consumers and businesses to access autonomous vehicles on-demand, without the need for ownership. This model can be particularly attractive in urban areas, where the cost of vehicle ownership is high, and the demand for flexible transportation solutions is growing. Companies offering AVaaS can generate new revenue streams by providing autonomous ridesharing, delivery, and logistics services. This shift towards service-based models is expected to reshape the transportation industry, making autonomous vehicles more accessible to a broader range of users and driving market growth. The development of Autonomous Vehicle-as-a-Service (AVaaS) business models presents a significant opportunity for companies in the autonomous vehicle market.

Restraints/Challenges

• High Development and Manufacturing Costs

The significant costs associated with developing, testing, and manufacturing autonomous vehicles are a major barrier to market growth, especially for smaller companies. The development of autonomous technology requires extensive research and development efforts, including the creation of complex algorithms, high-precision sensors, and robust software systems. Additionally, rigorous testing and validation are needed to ensure the safety and reliability of these vehicles, further driving up costs. Manufacturing autonomous vehicles also demands specialized equipment and processes, adding to the overall expense. These high costs can be prohibitive for smaller companies and start-ups, limiting their ability to compete in the market and slowing the overall pace of innovation and adoption.

• Cybersecurity Risks and Data Privacy Concerns

Autonomous vehicles rely heavily on data and connectivity, making them vulnerable to cybersecurity risks and raising concerns about data privacy. These vehicles generate and process vast amounts of data from various sensors, cameras, and communication systems to navigate and make decisions in real-time. This reliance on data opens up potential attack vectors for hackers, who could compromise vehicle systems, leading to safety risks or data breaches. Additionally, the collection and use of personal data by autonomous vehicles raise privacy concerns among consumers, who may be wary of how their information is stored and shared.  

This market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Autonomous/Self-Driving Cars Market Scope

The market is segmented on the basis of level of autonomy, technology, mobility type, type, system, and electric vehicle type. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Level of Autonomy

• Semi-Autonomous Cars
• Autonomous Cars

Technology

• Sensor
• Telematics
• Computing Platform
• Others

Mobility Type

• Personal Mobility
• Shared Mobility

Type

• SUV
• Hatchbacks
• Sedan
• Others

System Type

• Lane Assist
• Automatic Emergency Braking (AEB)
• Smart Park Assist
• Crash Warning System (CWS)
• Adaptive Cruise Control (ACC)
• Cross Traffic Alert (CTA)
• Blind Spot Detection (BSD)
• Forward Collision Warning (FCW)
• Tire Pressure Monitoring System (TPMS)
• Night Vision System (NVS)
• Driver Monitoring System (DMS)
• Pedestrian Detection System (PDS)
• Others

Electric Vehicle Type

• Battery Electric Vehicle (BEV)
• Hybrid Electric Vehicle (HEV)
• Plug-In Hybrid Electric Vehicle (PHEV)
• Fuel Cell Electric Vehicle (FCEV)

Autonomous/Self-Driving Cars Market Regional Analysis

The market is analyzed and market size insights and trends are provided by country, level of autonomy, technology, mobility type, type, system, and electric vehicle type as referenced above.

The countries covered in the market are U.S., Canada, Mexico, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, rest of Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, rest of Asia-Pacific, Saudi Arabia, U.A.E., South Africa, Egypt, Israel, rest of Middle East and Africa, Brazil, Argentina, and rest of South America.

In North America, the U.S. leads the market due to rising consumer interest in autonomous cars. The innovation in autonomous driving technologies is further driven by the presence of major tech hubs in the U.S. and Canada. In the Asia-Pacific region, China is at the forefront, with significant advancements in autonomous driving technology also seen in Japan and South Korea. In Europe, Germany holds a dominant position in the autonomous self-driving car market, thanks to its robust and well-established automotive industry.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Autonomous/Self-Driving Cars Market Share

The market competitive landscape provides details by competitors. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to market.

Autonomous/Self-Driving Cars Market Leaders Operating in the Market Are:

• Latitude AI LLC (U.S.)
• NVIDIA Corporation (U.S.)
• Mercedes-Benz AG (Germany)
• Mobileye (Israel)
• Volkswagen (Germany)
• Aurora Innovation Inc. (U.S.)
• Tesla (U.S.)
• Nuro, Inc. (U.S.)
• Huawei Technologies Co., Ltd. (China)
• Infineon Technologies AG (Allemagne)
• Continental AG (Allemagne)
• Valéo (France)
• HELLA GmbH & Co. KGaA (Allemagne)
• Magna International Inc. (Canada)
• ZF Friedrichshafen AG (Allemagne)
• Robert Bosch SARL (Allemagne)
• Aptiv (Irlande)
• TEXAS INSTRUMENTS INCORPORATED (ÉTATS-UNIS)
• Hitachi Astemo, Ltd. (Japon)
• RENESAS ELECTRONICS CORPORATION (Japon)

Dernières évolutions du marché des voitures autonomes

• En mai 2023, Waymo a révélé son intention d'étendre son service de voiture autonome à Phoenix, en Arizona. Cette expansion témoigne de la confiance de l'entreprise dans sa technologie et de sa volonté de commencer à commercialiser son service
• En mars 2023, Uber a annoncé la scission de sa division de voitures autonomes en une nouvelle société nommée Aurora Innovation. Cette décision indique qu'Uber prend du recul par rapport à son propre développement de technologies de conduite autonome

SKU-70238