关于“有人驾驶”的报告
艾媒咨询｜2024-2025年中国无人驾驶汽车市场行业研究报告
随着汽车智能化与电动化的不断升级，无人驾驶汽车成为汽车行业发展的新趋势。在政策和社会需求等多维度因素的推动下，自动驾驶的服务需求持续增长。数据显示，2023年无人驾驶汽车市场规模达118.5亿元，预计2025年前后将迎来规模性产业化契机。全球新经济产业第三方数据挖掘和分析机构iiMedia Research（艾媒咨询）最新发布的《2024-2025年中国无人驾驶汽车市场行业研究报告》数据显示，2024年中国有49.3%的受访消费者知道且非常了解无人驾驶汽车；超过四成用户通过短视频平台获取无人驾驶汽车的相关资讯。超六成的受访消费者认为无人驾驶汽车的主要优势是减少驾驶疲惫感和减少交通事故的发生，无人驾驶汽车采用先进的传感技术和智能系统，可以实时感知周围环境，显著降低道路交通事故的发生率。
With the continuous upgrading of automotive intelligence and electrification, driverless vehicles have become a new trend in the development of the automotive industry. Driven by multi-dimensional factors such as policy and social demand, the demand for autonomous driving services continues to grow. According to the data, the market size of driverless cars reached 11.85 billion yuan in 2023, and it is expected to usher in large-scale industrialization opportunities around 2025. According to the latest "China Pilotless automobile market Industry Research Report from 2024 to 2025" released by iiMedia Research, a third party data mining and analysis institution in the global new economy industry, Chinese consumers will buy cosmetics in 2024. The most concerned factors were product composition (58.8%) and product efficacy (41.4%). More than 30% of consumers believe that the main problems with cosmetics are vague product descriptions and the short duration of cosmetic efficacy. With the rise of short video platforms, the size of the cosmetics market continues to expand, and consumer demand is constantly changing. In the future, China's cosmetics industry market still has huge potential for development.-
艾媒咨询 | 2025年中国高精定位市场消费行为调查数据
随着高精定位技术的迭代优化，其应用范围也不断扩大，广泛应用于以车辆导航、自动驾驶为例的智慧出行领域，以基础设施监测为例的公共服务领域，以及电网、港口智能监测等产业升级领域。根据全球新经济产业第三方数据挖掘和分析机构iiMedia Research（艾媒咨询）最新发布的《2025年中国高精定位市场消费行为调查数据》数据显示，道路导航（包括骑行、步行等方式）以48.84%的占比位居首位，凸显了消费者对导航功能的高度依赖，进一步印证了高精定位技术在日常生活场景中的广泛应用。与此同时，“有助于高危行业（如矿业）更便利作业”以51.22%的占比成为消费者最认可的应用方向，表明高精定位技术在高危行业中的潜力备受期待，其提升作业效率和保障安全的特性得到了广泛认可。此外，技术进步与成本降低以50.39%的占比成为影响高精定位技术普及的最主要因素，反映了技术迭代和成本优化在推动市场发展中的关键作用，也为行业未来的创新方向提供了重要启示。艾媒咨询分析师认为，在全球经济迈向高质量发展的新背景下，公共基础设施的运行、行业的解决方案或是大众生活出行领域的数字化，都离不开以数据决策为基础。而高精定位作为精准位置数据获取的基础技术，将延伸更多元化的符合市场发展的数据技术产品和服务，市场需求将持续提升。
With the iterative optimization of high-precision positioning technology, its application scope is also expanding, and it is widely used in the field of intelligent travel with vehicle navigation and automatic driving as an example, in the field of public service with infrastructure monitoring as an example, and in the field of industrial upgrading such as power grid and port intelligent monitoring. According to the latest "Survey data of consumption behavior of China's High-Precision Positioning Market in 2025" released by iiMedia Research, a third-party data mining and analysis institution in the global new economy industry, road navigation (including cycling, walking, etc.) ranks first with 48.84%. It highlights the high dependence of consumers on navigation functions, and further confirms the wide application of high-precision positioning technology in daily life scenes. At the same time, "help high-risk industries (such as mining) more convenient operation" accounted for 51.22% of consumers to become the most recognized application direction, indicating that the potential of high-precision positioning technology in high-risk industries is highly anticipated, and its characteristics of improving operational efficiency and ensuring safety have been widely recognized. In addition, technological progress and cost reduction accounted for 50.39% to become the most important factors affecting the popularity of high-precision positioning technology, reflecting the key role of technology iteration and cost optimization in promoting market development, and also providing important inspiration for the future innovation direction of the industry. Analysts from IIMedia Consulting believe that in the new context of the global economy moving toward high-quality development, the operation of public infrastructure, industry solutions or digital intelligence in the field of mass life and travel are inseparable from data-based decision-making. As the basic technology for accurate location data acquisition, high-precision positioning will extend more diversified data technology products and services in line with market development, and market demand will continue to increase. 
【预售】2024-2025年中国低空经济行业研究报告
随着科技经济的发展，各种有人驾驶和无人驾驶航空器的各类低空飞行活动变得愈发活跃，“低空飞行经济”逐渐走入广大消费者的视野。低空飞行在物流配送、空中交通、地形测绘、紧急救援等领域逐渐展现出其他传统方式无法比拟的优势。
《2024-2025年中国低空经济行业研究报告》是对中国低空飞行行业进行全面深入分析的权威报告。本报告通过对中国低空飞行行业进行市场现状、政策环境、竞争格局、消费行为等方面的研究，为您揭示中国低空飞行经济市场的真实状况和发展趋势。
With the development of technology and economy, various low altitude flight activities of manned and unmanned aerial vehicles have become increasingly active, and the "low altitude flight economy" has gradually entered the vision of consumers. Low altitude flight has gradually demonstrated advantages in logistics distribution, tourism photography, terrain surveying, emergency rescue, and other fields that cannot be compared to other traditional methods.
The 2024-2025 China Low Altitude Economy Industry Research Report is an authoritative report that provides a comprehensive and in-depth analysis of China's low altitude flight industry. This report conducts research on the current market situation, policy environment, competitive landscape, consumer behavior, and other aspects of China's low altitude flight industry to reveal the true situation and development trends of China's low altitude flight economy market.-
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艾媒咨询|2021年中国智慧交通行业发展分析报告
本报告涉及的案例/品牌/企业：百度
iiMedia Research(艾媒咨询)数据显示，中国智慧交通技术支出规模不断增长，2020年中国智慧交通技术支出规模达502.7亿元，同比增长16.26%，预计2021年中国智慧交通技术支出规模将达580亿元，城市轨道交通、公交、网约车、自动驾驶相关市场规模总体处在快速发展阶段。艾媒咨询分析师认为，目前中国智慧交通不管是技术还是政策等条件均基本成熟，智慧交通建设在部分城市已有了初步成果，未来随着行业向下沉市场不断推进、自动驾驶等技术不断突破，智慧交通行业整体将迎来一波较快的增长，也有望成为中国新的经济增长点。
According to iiMedia Research, the scale of China's smart transportation technology expenditure continues to grow. In 2020, China's smart transportation technology expenditure reached 50.27 billion yuan, a year-on-year increase of 16.26%. It is expected that China's smart transportation technology expenditure will reach 58 billion yuan in 2021, including urban rail transit, public transportation, online car hailing The market scale related to automatic driving is in the stage of rapid development. iimedia consulting analysts believe that at present, China's intelligent transportation is basically mature in terms of technology and policy. The construction of intelligent transportation has achieved preliminary results in some cities. In the future, with the continuous promotion of the industry to the sinking market and the continuous breakthrough of technologies such as automatic driving, the intelligent transportation industry as a whole will usher in a wave of rapid growth, It is also expected to become a new economic growth point in China. -
艾媒咨询|2020上半年中国人工智能芯片行业研究报告
本报告研究涉及企业/品牌/案例：寒武纪、知存科技。
iiMedia Research(艾媒咨询)数据显示，2019年中国AI芯片市场规模约为115.5亿元，在5G商用的普及和政策、技术等各因素的推动下，AI芯片有望在云计算、安防、消费电子、机器人等领域实现大规模商用，预计2021年AI芯片市场规模将达到436.8亿元。但值得注意的是，随着人工智能技术的加速普及，下游应用领域对AI算力和能耗的要求越来越高，传统冯诺依曼架构式芯片的瓶颈逐渐显露，AI芯片将朝着存算一体化方向发展。艾媒咨询分析师认为，存算一体AI芯片的发展前景虽受到广泛认可，但整体仍处在发展的起步阶段。从实现计算与存储的融合设计，到技术的落地、量产、规模化商用，还有较长阶段。能够率先实现技术、产品突破的企业将更容易获得资本、人才、市场的支持。
According to data from iiMedia Research, the scale of China’s AI chip market in 2019 is about 11.55 billion yuan. Driven by the popularization of 5G commercial use, policies, and technology, AI chips are expected to be used in cloud computing, security, and consumer electronics. Robotics and other fields achieve large-scale commercial use, and the AI chip market is expected to reach 43.68 billion yuan in 2021. However, with the accelerated popularization of artificial intelligence technology, downstream application fields have higher and higher requirements for AI computing power and energy consumption. The bottleneck of traditional Von Neumann architecture chips has gradually emerged, and AI chip will develop towards the integration of storage and computing. iiMedia Consulting analysts believe that although the development prospects of the storage-computing integrated AI chip are widely recognized, the overall development is still in the initial stage. From the realization of the integrated design of computing and storage, to the implementation of technology, mass production, and large-scale commercial use, there is still a long stage. Companies that can take the lead in achieving technological and product breakthroughs will be more easily supported by capital, talent, and the market. -
艾媒报告 |2019上半年中国人工智能产业研究报告
本报告研究涉及企业/品牌/案例：百度，小马智行，深兰科技，深兰科技,商汤科技,地平线机器人,大立科技,数多多，Cambricon, 数据堂，IBM, Magic Data,海深科技，阿里巴巴，华为，京东，滴滴出行，小i机器人，图灵机器人，科大讯飞，普强信息，云知声，出门问问，依图，海鑫科金，腾讯云
随着政策的推动以及资本的关注，人工智能产业仍将保持迅猛发展态势，2020年中国人工智能核心产业规模将超1500亿元。当前人工智能的商业化主要是基于计算机视觉、智能语音、自然语言处理等技术，技术应用面广泛，涉及智能医疗、智能驾驶、智能家居等多场景。2018年中国人工智能领域共融资1311亿元，增长率超过100%，投资者看好人工智能行业的发展前景，资本将助力行业更好地发展。在人工智能与出行结合领域，路径规划、网络约车、交通管理、自动驾驶等技术的研发解决了传统出行不便的痛点，其中深兰科技深耕智能交通、智能环境、智能城市等细分领域，已实现人工智能产品落地。其深兰科技熊猫智能公交车已实现在广州、天津等国内多个城市试运行。而人工智能与安防、医疗、零售等产业的结合，均解决了一定行业痛点，利用机器学习算法、深度学习和NLP促进行业发展。随着5G商用时代的逐渐来临，人工智能技术连接效率也将进一步提升，深度学习、数据挖掘、自动程序设计等领域也将在更多的应用领域得到实现。
With the promotion of policy and the attention of capital, the AI industry will continue to develop rapidly, and the scale of China's AI core industry will exceed 150 billion yuan by 2020. At present, the commercialization of AI is mainly based on computer vision, intelligent voice, natural language processing and other technologies. It has a wide range of applications, including intelligent medical, intelligent driving, intelligent home and other scenarios. In 2018, China's AI sector raised 131.1 billion yuan, with a growth rate of more than 100%. Investors are optimistic about the prospects of AI industry, and capital will help the industry develop better. In the field of combination of artificial intelligence and travel, the research and development of technologies such as path planning, network car appointment, traffic management and automatic driving have solved the pain points of traditional travel inconvenience. Among them, Shenlan Science and Technology has realized the landing of artificial intelligence products in the sub-fields of intelligent transportation, intelligent environment, intelligent city and so on. Its Shenlan Panda Intelligent Bus has been put into trial operation in Guangzhou, Tianjin and other domestic cities. The combination of AI and security, medical, retail and other industries has solved some industry pain points, using machine learning algorithm, in-depth learning and NLP to promote the development of the industry. With the gradual advent of 5G commercial era, the efficiency of artificial intelligence technology connection will be further improved. In-depth learning, data mining, automatic programming and other fields will also be realized in more application areas. -
艾媒报告 |2019中国人工智能发展风险预警白皮书
随着人工智能的不断发展，人工智能产业不断深化，中国人工智能企业数量也在不断上升，但在技术与应用领域，均存在着不同程度的挑战与风险。对于未来人工智能技术的发展，态势虽一路高涨，但仍不能放松警惕。由人工智能带来的新一轮工业革命已经到来，教育呈现出与技术发展的不均衡必将导致失业问题的出现。对于人工智能带来的新的需求，唯有保持学习才能不被技术超前。
With the continuous development of artificial intelligence and the deepening of the artificial intelligence industry, the number of Chinese artificial intelligence enterprises is also on the rise, but in the field of technology and application, there are challenges and risks of varying degrees. According to data from iiMedia Research, Chinese Internet users to try the will of the artificial intelligence technology is higher, but there are still 64.1% of Chinese Internet users think that there are risks of artificial intelligence, 40.3% of Internet users think the biggest hazards posed by artificial intelligence is a personal information leakage, 63.0% of netizens think that artificial intelligence technology has threat to humans, 38.6% of Internet users think that big data is the main cause of a threat to human development. For the development of artificial intelligence technology in the future, although the situation is all the way high, but still can not relax vigilance. A new round of industrial revolution brought by artificial intelligence has come, and the imbalance between education and technological development will inevitably lead to the emergence of unemployment. For the new demand brought by artificial intelligence, only keep learning can not be ahead of technology.
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