According to an autonomous vehicle market forecast by Next Move Strategy Consulting, the global autonomous vehicle market reached nearly the size of 106 billion U.S. dollars in 2021. It is projected that in 2030, the market will reach the size of over 2.3 trillion U.S. dollars.
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Autonomous Car Market Report is Segmented by Level of Automation (Level 1 – Driver Assistance, Level 2- Partial Automation and More), Vehicle Type (Passenger Cars and Commercial Vehicles), Propulsion Type (Internal Combustion Engine (ICE), Battery Electric Vehicles (BEV) and More), Mobility Form (Personal Ownership and More), Component and Geography. The Market Sizes and Forecasts are Provided in Terms of Value (USD).
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The Report Covers the US Autonomous Vehicle Market and Its Growth. It is Segmented by Type (Fully Autonomous Vehicles and Semi-Autonomous Vehicles), Sensor (Lidar, Radar, Ultrasonic, and Other Sensors), and Level of Automation (Conditional Automation (Level 3), High Automation (Level 4), and Full Automation (Level 5)). The Report Offers Market Sizing and Forecasts in Value (USD) for all the Above Segments.
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The Autonomous Vehicles market is poised for substantial expansion over the next decade, with projected growth from USD 36,083.9 million in 2025 to USD 83,101.6 million by 2035, reflecting a robust compound annual growth rate (CAGR) of 8.7%. The significant rise we are experiencing at the moment is the result of the rapid change in the realm of the Internet of Things, Sensors, and Vehicle Connectivity especially, added to the compatibility of these technologies with the prevailing demand for safer and more energy-efficient transportation systems.
Metric | Value |
---|---|
Industry Size (2025E) | USD 36,083.9 million |
Industry Value (2035F) | USD 83,101.6 million |
CAGR (2025 to 2035) | 8.7% |
Country-wise Insights
Country | CAGR (2025 to 2035) |
---|---|
United States | 19.6% |
Country | CAGR (2025 to 2035) |
---|---|
United Kingdom | 16.0% |
Region | CAGR (2025 to 2035) |
---|---|
European Union | 18.5% |
Country | CAGR (2025 to 2035) |
---|---|
Japan | 16.74% |
Key Company Insights
Company Name | Estimated Market Share (%) |
---|---|
Waymo (Alphabet Inc.) | 16-18% |
Tesla Inc. | 14-16% |
Baidu Inc. | 10-12% |
Mobileye (Intel) | 8-10% |
Aurora Innovation | 4-6% |
Other Companies | 38-48% |
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The autonomous vehicle market size is projected to grow from USD 916.9 billion in 2024 to USD 19,336.8 billion by 2035, representing a CAGR of 31.95%, during the forecast period till 2035.
Level 4 autonomous vehicle sales are expected to generate about 42 billion U.S. dollars in revenue by 2030. It is projected that autonomous vehicles will reach large-scale market commercialization by 2022.
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Autonomous Vehicle Market is predicted to reach $614.88 billion by 2030 with a CAGR of 24.9% from 2023 to 2030
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Autonomous vehicle market was valued at USD 98.2 Billion in 2024 and is anticipated to reach USD 812.5 Billion by 2034 at a CAGR of 38.5%. Autonomous vehicle industry report classifies global market by share, trend, growth and on the basis of source, application and region
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The global autonomous vehicle market size was valued at USD 109.0 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 1,730.4 Billion by 2033, exhibiting a CAGR of 31.85% from 2025-2033. North America currently dominates the market, holding a market share of over 40.8% in 2024. The growing implementation of favorable regulations, rising purchases of personal vehicles to travel comfortably without the hassle of public transportation, and increasing integration of artificial intelligence (AI) and machine learning (ML) algorithms are driving the growth of the market.
Report Attribute
|
Key Statistics
|
---|---|
Base Year
|
2024
|
Forecast Years
| 2025-2033 |
Historical Years
| 2019-2024 |
Market Size in 2024
| USD 109.0 Billion |
Market Forecast in 2033
| USD 1,730.4 Billion |
Market Growth Rate 2025-2033 | 31.85% |
IMARC Group provides an analysis of the key trends in each segment of the global autonomous vehicle market, along with forecast at the global, regional, and country levels from 2025-2033. The market has been categorized based on component, level of automation, and application.
The global autonomous car market was valued at over ** billion U.S. dollars in 2024. The market is expected to grow in the following years, reaching a size of nearly *** billion U.S. dollars in 2029. Technological challenges Fully autonomous vehicle technology is extremely complex. In the United Kingdom, it is expected that ** percent of all cars will have some level of autonomy (Levels 1-3) before fully autonomous vehicles are even starting to enter the market in 2025. One reason behind this is the lack of consistent 5G or high-speed internet to allow the self-driving cars to communicate with each other and to gather information about driving conditions and traffic jams or potential obstacles blocking the road. Another reason is that some vehicles require extremely detailed maps to navigate safely. Concerns about autonomous cars Overcoming technological hurdles is not enough for autonomous vehicles to take off. Securing public support is vital as well. People need to feel comfortable about riding in an autonomous vehicle in order to use them and buy them. Although over ** percent of customers worldwide would be willing to use fully autonomous or semi-autonomous cars, they still have some concerns. More than half of the customers are worried about the safety of autonomous cars and over ** percent are not sure whether the technologies necessary for autonomous vehicles to operate are advanced enough.
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Global Autonomous Vehicle market size is expected to reach $216.65 billion by 2029 at 28.1%, segmented as by driver assistance, adaptive cruise control, lane keeping assistance, parking assistance
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Find the latest Market Report on ?Autonomous Vehicle Market trends, industry outlook and top suppliers from BIS Research
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The global self-driving cars market was valued at USD 20.25 billion in 2021 and is expected to grow at a CAGR of 13.9% during the forecast period.
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The autonomous vehicle (AV) market is experiencing explosive growth, projected to reach $41.10 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 22.75% from 2025 to 2033. This surge is driven by several key factors. Advancements in sensor technology, artificial intelligence, and machine learning are enabling more sophisticated and reliable self-driving capabilities. Furthermore, increasing consumer demand for enhanced safety and convenience, coupled with the potential for significant efficiency gains in transportation and logistics, fuels market expansion. Government initiatives promoting AV development and infrastructure investments, particularly in North America and Europe, are also playing a crucial role. The market is segmented into semi-autonomous and fully autonomous vehicles, with fully autonomous vehicles expected to dominate market share in the long term due to their potential to revolutionize transportation. Leading players like Uber, Waymo, Tesla, and several major automotive manufacturers are aggressively investing in research and development, fueling competition and innovation. Challenges remain, however, including regulatory hurdles, cybersecurity concerns, and the need for robust infrastructure to support widespread AV deployment. Despite these challenges, the long-term outlook for the AV market remains exceptionally positive. The continuous refinement of AV technology, coupled with decreasing production costs, will likely lead to wider adoption across various sectors, including passenger transportation, ride-sharing services, and logistics. The Asia-Pacific region is poised for significant growth, driven by increasing urbanization and rising disposable incomes. While North America and Europe currently hold larger market shares, the Asia-Pacific region's growth potential is substantial and will likely reshape the global market landscape in the coming years. The development of comprehensive safety standards and regulations will be pivotal in ensuring public trust and accelerating market penetration. Ultimately, the convergence of technological advancements, supportive government policies, and increasing consumer demand will pave the way for a transformative shift in the transportation landscape. Recent developments include: In April 2021, Toyota Motor Corp. unveiled new versions of Lexus LS and Toyota Mirai in Japan, both equipped with Advanced Drive features of a Level 2 autonomous system that helps keep the car in its lane, maintain distance from other vehicles, assist with lane changes, and offer advanced-driver assistance., In March 2021, Volvo Group signed an agreement with NVIDIA to jointly develop the decision-making system of autonomous commercial vehicles and machines. Utilizing NVIDIA's end-to-end artificial intelligence platform for training, simulation, and in-vehicle computing, the resulting system will be designed to handle fully autonomous driving on public roads and highways safely., In February 2021, Aurora announced that it had entered into a strategic collaboration with Toyota and Denso to build and deploy self-driving cars on a large scale. The collaboration will develop and test driverless vehicles equipped with the Aurora Driver, starting with the Toyota Sienna. By the end of 2021, companies expect to begin testing an initial fleet of Siennas., In January 2021, Microsoft partnered with General Motors to help bring GM's robotaxi startup Cruise's autonomous vehicles to the road. Microsoft, Honda, and other investors invested more than USD 2 billion into the company., In January 2021, Baidu Apollo announced that the California Department of Motor Vehicles (DMV) had issued a permit to Baidu. The permit will authorize the company to test driverless vehicles on public roads in the state.. Notable trends are: Semi-autonomous Cars Segment Anticipated to Gain Significance during the Forecast Period.
Autonomous Cars Software Market Size 2024-2028
The autonomous cars software market size is forecast to increase by USD 9.18 billion, at a CAGR of 39.04% between 2023 and 2028.
The market is experiencing significant growth, driven by the increasing demand from Original Equipment Manufacturers (OEMs) for greater vehicle autonomy. This trend is further fueled by the rising adoption of cloud-based High Definition (HD) maps, which enable vehicles to navigate more accurately and efficiently. However, the market faces challenges, most notably the slow adoption rate of autonomous vehicles such as autonomous cars in developing countries due to various socio-economic factors. This presents both opportunities and obstacles for market participants. On the one hand, companies can tap into the vast potential of emerging markets by addressing local challenges and tailoring their offerings to suit unique customer needs.
On the other hand, they must navigate regulatory complexities and cultural differences to successfully penetrate these markets. In summary, the market is poised for growth, with OEM demand and cloud-based HD maps driving innovation, while the challenge of market penetration in developing countries presents both opportunities and obstacles for market participants. Companies must navigate these dynamics effectively to capitalize on market opportunities and maintain a competitive edge.
What will be the Size of the Autonomous Cars Software Market during the forecast period?
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The market continues to evolve, with new technologies and applications unfolding across various sectors. Lane keeping assistance, traffic sign recognition, and obstacle avoidance systems are seamlessly integrated into complete autonomous driving stacks. SLAM algorithms, GPS navigation systems, and sensor fusion techniques play a crucial role in enabling vehicles to perceive and navigate their environment. Functional safety standards, such as ISO 26262 compliance, ensure the reliable operation of these complex systems. Radar signal processing and computer vision systems are essential components of autonomous vehicles, providing real-time object detection and classification. Path planning techniques and reinforcement learning agents optimize vehicle behavior, while over-the-air updates enable continuous software improvement.
Camera calibration methods and IMU data integration enhance perception capabilities, while machine learning libraries and deep learning frameworks enable advanced object detection models and pedestrian detection systems. Autonomous driving systems require cybersecurity protocols to protect against potential cyber threats. ADAS sensor integration and behavioral cloning methods enable vehicles to learn from human driving behavior and adapt to various driving scenarios. Emergency braking systems and motion planning algorithms ensure safe and efficient vehicle operation. Simulation environments and software testing frameworks enable rigorous testing and validation of these advanced systems. High-definition mapping and adaptive cruise control systems provide enhanced situational awareness, enabling vehicles to respond to changing road conditions and traffic patterns.
Autonomous vehicles also offer parking assistance systems and vehicle dynamics control to optimize the driving experience. Overall, the market is characterized by continuous innovation and dynamic market activities.
How is this Autonomous Cars Software Industry segmented?
The autonomous cars software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
Type
Proprietary software
Open-source software
Product
Level 3 autonomous cars
Level 4 autonomous cars
Level 5 autonomous cars
Geography
North America
US
Europe
Germany
APAC
China
Japan
South Korea
Rest of World (ROW)
By Type Insights
The proprietary software segment is estimated to witness significant growth during the forecast period.
Autonomous cars are revolutionizing the automotive industry with advanced software technologies. Radar signal processing and computer vision systems enable vehicles to perceive their surroundings in real-time. Path planning techniques and reinforcement learning agents optimize the vehicle's movement, ensuring safe and efficient navigation. Over-the-air updates allow for continuous software improvement, while real-time operating systems ensure reliable and responsive performance. Camera calibration methods and object detection models enhance the accuracy of pedestrian detection systems, enabling bette
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As of 2023, the global fully autonomous driving market size is estimated to be approximately USD 20 billion and is expected to grow at a robust CAGR of 22.5% from 2024 to 2032, reaching an impressive USD 148 billion by the end of the forecast period. The primary growth factors contributing to this significant expansion include advancements in artificial intelligence, increasing investments by major automotive manufacturers, and a growing emphasis on safety and convenience in transportation.
The rapid advancements in artificial intelligence (AI) and machine learning have been pivotal in propelling the fully autonomous driving market forward. These technologies enable vehicles to process massive amounts of data from sensors and make real-time decisions with high accuracy, thereby enhancing the safety and efficiency of autonomous systems. Additionally, the integration of AI with connected car technology allows vehicles to communicate with each other and with infrastructure, leading to a more coordinated and safer driving environment.
Another significant growth driver is the substantial investment by major automotive manufacturers and technology companies in the development and deployment of fully autonomous vehicles. Companies like Tesla, Waymo, and General Motors are at the forefront, investing billions of dollars in R&D and collaborating with tech firms to accelerate the commercialization of autonomous driving technologies. This influx of investment not only boosts the innovation pipeline but also reduces the time to market for advanced autonomous solutions.
The increasing consumer demand for enhanced safety and convenience is also a key factor driving the growth of the fully autonomous driving market. Autonomous vehicles promise to reduce road accidents caused by human error, which is a leading cause of fatalities worldwide. Moreover, the convenience of autonomous driving, especially in urban areas with heavy traffic, is appealing to consumers. The ability to utilize travel time for other productive activities while relying on the vehicle to handle the driving tasks is a significant selling point for autonomous cars.
From a regional perspective, North America and Europe are expected to lead the market due to the presence of established automotive industries, supportive regulatory frameworks, and high consumer acceptance of advanced technologies. However, Asia Pacific is anticipated to witness the fastest growth during the forecast period, driven by rapid urbanization, rising disposable incomes, and aggressive government initiatives to promote smart transportation solutions.
The fully autonomous driving market is segmented by component into hardware, software, and services. The hardware segment includes sensors, cameras, radar, LiDAR, and other critical components that form the backbone of autonomous systems. This segment is witnessing significant advancements as companies strive to enhance the accuracy and reliability of these components while reducing costs. The development of solid-state LiDAR and high-definition radar systems are notable trends within this segment, aiming to provide better performance in various driving conditions.
The software segment, on the other hand, comprises the algorithms, operating systems, and middleware that enable the processing of data collected by hardware components. This segment is crucial for the interpretation of sensory data and the execution of driving decisions. The continuous improvement in machine learning models and the development of more sophisticated AI algorithms are driving this segment forward. Companies are also focusing on enhancing the cybersecurity aspects of autonomous driving software to protect against potential threats.
Services in the fully autonomous driving market include maintenance, updates, and support provided to ensure the smooth operation of autonomous vehicles. As the market matures, the demand for such services is expected to grow, creating a new revenue stream for companies. This segment also includes fleet management services for commercial autonomous vehicle operators, which are becoming increasingly important as businesses look to optimize their logistics and transportation operations.
Overall, the component analysis reveals that while hardware forms the foundational layer of fully autonomous systems, the software drives the intelligence, and services ensure the longevity and efficiency of the systems. The synergy between these components is critic
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The US Autonomous Vehicles (AV) market, a significant segment of the global AV industry, is experiencing explosive growth, projected to reach a substantial market size within the next decade. Driven by technological advancements in sensor technology (Lidar, radar, ultrasonic), increasing government investments in infrastructure development to support autonomous driving, and a rising consumer demand for enhanced safety and convenience, the market is poised for significant expansion. The dominance of Level 2 and Level 3 autonomous features in currently available vehicles indicates a gradual transition towards higher automation levels. While full autonomy (Level 5) remains a long-term goal, the increasing sophistication of semi-autonomous features and the subsequent consumer adoption are creating a robust market for related technologies and services. Major players like Tesla, Waymo, and Ford are heavily investing in R&D and deployment strategies, leading to fierce competition and continuous innovation. However, challenges remain, including regulatory hurdles, safety concerns, public perception, and the substantial infrastructure investments needed to fully realize the potential of autonomous vehicles. The US market, due to its advanced technological infrastructure and large consumer base, is expected to be a key driver of global AV market growth. The segment breakdown reveals that semi-autonomous vehicles currently hold the largest market share, with a substantial portion attributed to advanced driver-assistance systems (ADAS) integrated into mass-market vehicles. The fully autonomous segment, while smaller, is expected to experience the highest growth rate in the coming years, driven by increasing technological maturity and regulatory approvals. Within sensors, Lidar technology, known for its high accuracy, is experiencing significant demand, although its high cost remains a barrier to wider adoption. Radar and ultrasonic sensors complement Lidar, creating a multi-sensor approach that strengthens the reliability and safety of autonomous driving systems. The regional focus within the US highlights specific states and regions that have proactively adopted supportive regulations, offering a conducive environment for AV development and deployment, further accelerating market growth in those areas. Recent developments include: May 2024: Volvo Autonomous Solutions showcased an autonomous truck at the ACT Expo in Las Vegas. The truck featured autonomous driving technology from Aurora Innovation, including high-resolution cameras, imaging radar, patented lidar capable of detecting objects up to 400 meters away, AI algorithms, dual computers, and additional sensors., February 2024: Oxa, a company specializing in autonomous vehicles, introduced a commercial self-driving bus in Florida. The Oxa driver software will support the driverless service in the United States, which is operated by American shuttle provider Beep in collaboration with the Jacksonville Transport Authority and Florida State College at Jacksonville., January 2024: TIER IV, a provider of open-source autonomous driving technology solutions, launched the Co-MLOps (Cooperative Machine Learning Operations) project. This initiative aims to accelerate the development of AI for autonomous driving.. Notable trends are: Growing Adoption of Semi-autonomous Cars is Expected to Drive Market Demand.
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The autonomous vehicle market is experiencing significant growth, projected to reach a market size of $9.87 billion in 2025, with a Compound Annual Growth Rate (CAGR) of 11.2% from 2025 to 2033. This robust expansion is driven by several key factors. Advancements in sensor technology, artificial intelligence, and machine learning are enabling increasingly sophisticated autonomous driving capabilities. Furthermore, growing consumer demand for enhanced safety and convenience, coupled with the potential for reduced traffic congestion and improved fuel efficiency, is fueling market adoption. Government initiatives promoting autonomous vehicle development and testing are also contributing to this positive trajectory. Competition is fierce, with established automotive manufacturers like Daimler, Ford, Toyota, BMW, Audi, and Volvo vying for market share alongside innovative technology companies such as Apple, Tesla, and specialized autonomous driving solution providers like AutoNOMOS Labs and the Dutch Automated Vehicle Initiative (DAVI). The market segmentation, while not explicitly provided, likely includes passenger vehicles, commercial vehicles, and potentially different levels of autonomy (e.g., Level 2 to Level 5). Challenges remain, including regulatory hurdles, ethical concerns surrounding accident liability, and the need to address public trust and acceptance of autonomous technology. However, the long-term outlook for the computer driving car market remains highly positive, indicating substantial opportunities for growth and innovation over the next decade. The forecast period of 2025-2033 suggests a continued expansion of the market, driven by sustained technological advancements and increasing consumer acceptance. The $9.87 billion market value in 2025 serves as a strong base for projecting future growth. Considering the 11.2% CAGR, the market is expected to exhibit a substantial increase in value over the coming years. The competitive landscape, characterized by both traditional automotive giants and tech disruptors, suggests that strategic partnerships and technological breakthroughs will play a crucial role in shaping market dynamics and determining future market leaders. The success of autonomous vehicle deployment will hinge on effectively addressing safety concerns, navigating regulatory landscapes, and building public confidence in this transformative technology.
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Global Autonomous Luxury Vehicle market size at $17.83 Billion in 2022 and is hit $174.57 Billion by the end of 2030 with a CAGR of 32.57%.
Autonomous Vehicles Market Size 2025-2029
The autonomous vehicles market size is forecast to increase by USD 624 billion, at a CAGR of 39.3% between 2024 and 2029.
The market is experiencing significant growth, driven by the increasing demand from Original Equipment Manufacturers (OEMs) to develop and integrate autonomous connected technology into their vehicles. This trend is particularly prominent in the transportation sector, where autonomous vehicles are being explored for cab and parcel delivery services. However, the market faces a notable challenge with the rising issue of driver distraction due to the increasing levels of vehicle automation. As more functions are automated, drivers may become less engaged, potentially leading to safety concerns. Companies in the market must address this challenge by implementing measures to ensure driver engagement and focus, such as providing more interactive and engaging in-vehicle systems.
Additionally, collaborations and partnerships between OEMs, technology providers, and regulatory bodies will be crucial in navigating the complex regulatory landscape and ensuring the safe and effective deployment of autonomous vehicles. Overall, the market presents significant opportunities for innovation and growth, with the potential to revolutionize various industries and improve transportation efficiency and safety. Companies seeking to capitalize on these opportunities must stay abreast of market trends, collaborate effectively, and address challenges related to driver engagement and regulatory compliance.
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The market continues to evolve, with technology advancements and applications expanding across various sectors. Machine learning algorithms, GPS navigation, data analytics, motion planning, 5G connectivity, parking assist, software-defined vehicles, autonomous trucks, object detection, cloud computing, and lane keeping assist are seamlessly integrated into complete systems. These components work in harmony to enhance safety, efficiency, and convenience. GPS navigation and data analytics enable real-time traffic information and route optimization. Motion planning and object detection use machine learning to anticipate and respond to dynamic road conditions. 5G connectivity ensures reliable communication between vehicles and infrastructure, enabling advanced features like remote diagnostics and over-the-air updates.
Autonomous trucks and shuttles are revolutionizing logistics and transportation, while self-driving cars offer a new level of personal mobility. Software-defined vehicles and cloud computing enable flexible and scalable solutions for fleet management and ride-sharing services. Autonomous vehicles also incorporate safety standards, such as adaptive cruise control, lane keeping assist, and driver monitoring systems. Computer vision and artificial intelligence enhance situational awareness, while vehicle dynamics control and path planning ensure smooth and safe operation. The integration of hybrid vehicles, electric motors, and infotainment systems further enhances the user experience. Testing and validation, regulatory compliance, and power electronics ensure the reliability and safety of these advanced systems. As the market continues to unfold, new applications and technologies will emerge, further transforming the way we move. The future of autonomous vehicles is bright, with endless possibilities for innovation and growth.
How is this Autonomous Vehicles Industry segmented?
The autonomous vehicles industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Application
T and L
Military and defense
Vehicle Type
Passenger car
Commercial vehicles
Grade Type
L1
L2
L3
L4 and L5
Component
Sensors (LiDAR, Radar)
Software
Connectivity Systems
Geography
North America
US
Canada
Europe
France
Germany
Italy
UK
APAC
China
India
Japan
South Korea
Rest of World (ROW)
By Application Insights
The t and l segment is estimated to witness significant growth during the forecast period.
The market is witnessing significant growth, particularly in the transportation sector, as manufacturers and technology developers explore the commercial potential of self-driving buses and trucks. Fully autonomous buses, which can operate in various modes such as line-based transit, shuttle services, and others, are gaining attention for their potential to disrupt traditional bus transit systems. Th
According to an autonomous vehicle market forecast by Next Move Strategy Consulting, the global autonomous vehicle market reached nearly the size of 106 billion U.S. dollars in 2021. It is projected that in 2030, the market will reach the size of over 2.3 trillion U.S. dollars.