市场调查报告书
商品编码
1498581
自动驾驶/自动驾驶汽车市场规模、份额、成长分析、按自动驾驶类型、按全自动驾驶类型、按车辆类型、按组件、按移动类型、按燃料类型、按堆迭级别、按应用、按地区-产业预测,2024-2031Autonomous/Self Driving Vehicle Market Size, Share, Growth Analysis, By Autonomous Type, Fully Autonomous, By Vehicle Type, By Component, By Mobility Type, By Fuel Type, By Stack Level, By Application, By Region - Industry Forecast 2024-2031 |
2022年自动驾驶/自动驾驶汽车市场规模为378亿美元,预测期内(2024-2031年)复合年增长率为37.8%,从2023年的520.9亿美元增至2031年的6772.3亿美元。美元。
由于汽车产业对自动驾驶解决方案的需求不断增加,全球自动驾驶汽车市场正在迅速扩大,缩小了消费者与汽车产业之间的差距。该市场旨在开发和部署能够以低成本安全高效运行的自动驾驶汽车。其主要目标是透过减少事故、消除人为错误并提供方便可靠的交通方式来彻底改变交通运输。推动市场成长的关键因素包括对安全高效的交通解决方案的需求、减少交通拥堵以及应对永续性挑战。人工智慧、机器学习和巨量资料等先进技术的采用将进一步加速市场扩张,让人工智慧驱动的自动驾驶系统能够自主解释环境、导航障碍物并回应交通号誌。 2021 年,DeepRoute.ai 的 Robotaxis 服务(具有 3 级自动驾驶功能)等措施体现了自动驾驶汽车能力的进步。该市场也为运输业的创新经营模式和大幅降低成本提供了机会。
Autonomous/Self Driving Vehicle Market size was valued at USD 37.8 Billion in 2022 and is poised to grow from USD 52.09 Billion in 2023 to USD 677.23 Billion by 2031, at a CAGR of 37.8% during the forecast period (2024-2031).
The global autonomous vehicle market is experiencing rapid expansion as demand grows for autonomous solutions in the automotive sector, bridging gaps between consumers and the automobile industry. The market aims to develop and deploy self-driving cars capable of safe, efficient operation at a reduced cost. Its primary objective is to revolutionize transportation by reducing accidents, eliminating human error, and providing a convenient, reliable mode of travel. Key drivers propelling market growth include the necessity for safe and efficient transport solutions, alleviating traffic congestion, and meeting sustainability challenges. The adoption of advanced technologies such as artificial intelligence, machine learning, and big data further accelerates market expansion, enabling AI-powered self-driving systems to interpret environments, navigate obstacles, and respond to traffic signals autonomously. In 2021, initiatives like DeepRoute.ai's Robotaxi service, featuring level-3 autonomy, exemplify advancements in autonomous vehicle capabilities. This market also presents opportunities for innovative business models and significant cost savings within the transportation sector.
Top-down and bottom-up approaches were used to estimate and validate the size of the Autonomous/Self Driving Vehicle Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Autonomous/Self-Driving Vehicle Market Segmental Analysis
The global market for autonomous vehicles is categorized across various dimensions. It includes autonomous type, components, fuel type, vehicle type, stack level, application, and region. Autonomous types are divided into Semi-autonomous (Level 1, Level 2, Level 3) and Fully Autonomous (Level 4, Level 5). Component segments encompass LIDAR, RADAR, Ultrasonic Sensors, Infrared Sensors, and others. Mobility types are classified into Personal Mobility and Shared Mobility. Fuel types include battery electric vehicles, hybrid vehicles, internal combustion engine vehicles, and fuel cell electric vehicles. Vehicle types are segmented into Passenger Vehicles (Hatchbacks, Coupe & Sports Cars, Sedans, SUVs, Others) and Commercial Vehicles (Buses, Trucks, Others). Stack levels are categorized as Sensor Technology, Vehicle Computing Platform, and Perception Engine. Applications cover robotaxi, individual use, military & defense, and others. Geographically, the market spans North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Autonomous/Self Driving Vehicle Market
The growth of the autonomous vehicle market is significantly propelled by the adoption of Artificial Intelligence, sensors, and advanced algorithms. These technologies play a vital role in ensuring the safe and efficient operation of self-driving vehicles. Machine learning and data analytics continually enhance autonomous vehicle performance in real-time scenarios. Furthermore, the integration of new connectivity options and V2X (Vehicle-to-Everything) technology is essential for creating a more interconnected and streamlined transportation network.
Restraints in the Autonomous/Self Driving Vehicle Market
One of the primary obstacles hindering the widespread adoption of autonomous vehicle technology is its substantial acquisition cost. The essential hardware components such as sensors and software required for autonomous vehicles remain prohibitively expensive for many consumers. Additionally, the ongoing expenses associated with system maintenance and upgrades further contribute to the overall high cost, potentially dissuading prospective buyers. This financial burden is particularly burdensome for individual consumers compared to commercial fleets, which can amortize these costs over an extended period.
Market Trends of the Autonomous/Self Driving Vehicle Market
Connected and Autonomous Mobility (CAM) represents an integrated transport system utilizing technologies like 5G, edge computing, artificial intelligence, and IoT to revolutionize the mobility experience. CAM is anticipated to transform the transportation of both individuals and goods, serving as a primary catalyst for advancing the autonomous vehicle market.