PUBLISHER: Fairfield Market Research | PRODUCT CODE: 1349476
PUBLISHER: Fairfield Market Research | PRODUCT CODE: 1349476
The global autonomous cars, robotaxis & sensors market is poised for extraordinary growth, with an anticipated Compound Annual Growth Rate (CAGR) of 50% between 2023 and 2030. By the end of the forecast period, the market is expected to reach a substantial value of approximately US$20 billion. The increasing adoption of autonomous vehicles and the advancement of sensor technologies are key factors propelling this market expansion.
Autonomous cars, also known as self-driving or driverless cars, operate without human intervention and have the potential to transform transportation. Robotaxis, a subset of autonomous vehicles, offer passenger transportation services similar to traditional taxis but without human drivers. Sensors, including cameras, lidar, and radar, play a crucial role in autonomous vehicles by enabling them to perceive their surroundings and make informed decisions. The market for autonomous cars, robotaxis, and sensors is driven by the potential to enhance safety, reduce accidents caused by human error, and promote sustainability. However, the high initial costs associated with sensor technology and autonomous vehicle development pose challenges to market growth.
The adoption of autonomous cars and robotaxis is driven by the promise of enhanced safety and a reduction in accidents. These vehicles are equipped with sophisticated collision avoidance systems that can quickly identify potential hazards, including pedestrians, cyclists, and other vehicles. By reacting swiftly to potential threats, autonomous vehicles contribute to safer roadways for passengers and pedestrians alike. They also eliminate human errors, such as fatigue, distraction, and impaired judgment due to drugs or alcohol, which are significant contributors to accidents. The potential for increased safety is a key driver for the acceptance and adoption of autonomous cars and robotaxis.
Sustainability considerations are playing a significant role in the growth of the autonomous cars, robotaxis, and sensors market. Advanced sensor technology and autonomous vehicles are instrumental in achieving more sustainable transportation solutions. When combined with electric propulsion systems, autonomous technology can offer dual benefits. Electric autonomous vehicles produce significantly lower greenhouse gas emissions and have a smaller carbon footprint compared to traditional internal combustion engine vehicles. Autonomous cars can optimize driving routes, reduce traffic congestion, and minimize stop-and-go traffic patterns, which can lead to increased fuel efficiency and reduced energy consumption. Autonomous delivery vehicles used for last-mile logistics also contribute to lowering emissions associated with conventional delivery methods, particularly as e-commerce and package deliveries continue to rise.
The cameras segment is expected to dominate the sensor technology segment during the forecast period. Cameras play a crucial role in the sensor suite of autonomous vehicles, working in conjunction with lidar, radar, and other sensors to provide a comprehensive view of the vehicle's surroundings. They capture images and videos of the environment, including other vehicles, pedestrians, traffic signs, lane markings, and obstacles. Infrared (IR) cameras enable autonomous cars to "see" and navigate in low-light and nighttime conditions, improving safety during night driving and adverse weather. IR cameras are less affected by elements like rain, snow, and glare from the sun, ensuring consistent perception. Additionally, IR cameras can detect heat signatures associated with potential vehicle fires, providing timely alerts for preventive action.
The Level 2 (L2) automation segment is expected to experience robust demand growth in the autonomous cars, robotaxis & sensors market. L2 automation enables vehicles to simultaneously handle steering and acceleration/deceleration under specific conditions, but it requires constant driver attention and readiness to take over control. Driver monitoring technology is often incorporated into L2 systems to ensure that the driver remains alert and prepared to intervene when necessary. L2 automation is typically designed for specific driving scenarios, such as highway driving or assisting in traffic congestion. The system may issue alerts if the driver's hands are not detected on the steering wheel for an extended period, emphasizing the need for ongoing driver involvement.
North America is poised to be the leading regional market for autonomous cars, robotaxis & sensors. Consumer and corporate acceptance of autonomous vehicles has grown significantly in North America due to the potential for increased safety, reduced accidents, and improved transportation efficiency. States and provinces in North America have been proactive in developing laws and policies to facilitate the testing and deployment of autonomous vehicles. Favorable legislation provides a conducive environment for businesses to explore and expand their autonomous vehicle operations. Mobility-as-a-Service (MaaS) platforms, which integrate various modes of transportation, including autonomous cars, into seamless on-demand services, are gaining popularity in the United States. These platforms aim to provide users with efficient and convenient travel options. Machine learning and AI systems are integral to the decision-making processes of autonomous vehicles in the United States, enabling adaptation to complex and dynamic driving environments.
The Asia Pacific region is expected to witness the fastest CAGR in the autonomous cars, robotaxis & sensors market during the forecast period. Advancements in AI and vehicle-to-everything (V2X) communication systems have enhanced the performance and safety of autonomous vehicles in this region. AI-powered decision-making systems and real-time connectivity with other vehicles and infrastructure contribute to overall autonomy and safety. Australia, in particular, has seen an increase in testing and pilot initiatives for autonomous cars to assess their viability and performance under diverse conditions.
Emerging countries face challenges in adopting autonomous cars, robotaxis, and sensors due to a lack of necessary infrastructure. Autonomous vehicles rely on well-marked lanes, GPS connectivity, and well-maintained roads, along with robust V2V and V2X communication networks. However, the development of information technology infrastructure on highways lags in rising nations like Mexico, Brazil, and India. Connectivity issues persist outside urban areas, limiting the adoption of autonomous vehicles in semi-urban and rural regions. Government support and regulations are essential to promote autonomous vehicle adoption in these developing countries.
The ongoing financial repercussions of the COVID-19 pandemic have also delayed the development of advanced transportation infrastructure, further impeding the growth of autonomous cars, robotaxis, and sensors.
Key players driving innovation and development in the global autonomous cars, robotaxis & sensors market include: Lyft, Inc., Volkswagen AG, Nissan Motor Corporation, Uber Technologies, Ford Motor Company, WAYMO LLC (a subsidiary of Alphabet Inc.), Cruise LLC (a subsidiary of General Motor Company), Tesla, and Daimler AG.