本报告研究涉及企业/品牌/案例：商汤科技、深兰科技。

中国人工智能行业市场规模自2015年起持续扩大，随着国家政策的倾斜和相关基础技术如5G通信、新基建的发展，人工智能进入爆发增长的阶段。2020年人工智能行业核心产业市场规模预计超过1500亿元，增长率达到26.2%，未来15年也将持续稳步增长，至2030年核心产业市场规模预计突破10000亿元。随着新基建的不断投入，高新技术产业的发展前景向好，至2019年底高企数量增长迅速，突破21.5万家。目前，中国城镇化水平和信息化建设不断提高加速，给人工智能发展提供了良好的社会环境。人工智能产业逐渐迈入成熟化发展的新阶段，同时，资本逐步回归理性，对人工智能产业的关注将由热点概念向应用落地转变。伴随着政府新基建一系列政策信号的释放和落地，人工智能发展迎来新红利，引发新一轮产业升级革命。未来，具备底层技术创新和落地能力的企业将更受资本的重视和青睐。

The market scale of China's Artificial Intelligence industry has been expanding continuously since 2015. With the tilt of national policies and the development of related basic technologies such as 5G communication and new infrastructure, artificial intelligence has entered the stage of explosive growth. In 2020, the market size of the core industry of the Artificial Intelligence industry is expected to exceed 150 billion yuan, with a growth rate of 26.2%. In the next 15 years, the market size of the core industry is also expected to grow steadily, and by 2030, the market size of the core industry is expected to exceed 1 trillion yuan. With the continuous investment in new infrastructure, the development prospect of the high-tech industry is getting better. By the end of 2019, the number of high-tech industries has increased rapidly, exceeding 215,000. At present, China's urbanization level and information construction are constantly improving and accelerating, providing a good social environment for the development of Artificial Intelligence. The Artificial Intelligence industry has gradually entered a new stage of mature development. At the same time, the capital has gradually returned to rationality, and the attention to the artificial intelligence industry will change from hot concept to application and implementation. With the release and landing of a series of policy signals on new government infrastructure, the development of Artificial Intelligence has ushered in a new dividend, triggering a new round of industrial upgrading revolution. In the future, enterprises with the capability of low-level technological innovation and implementation will be more valued and favored by capital.

iiMedia Research（艾媒咨询）数据显示，2020年下半年，主流平台网络综艺题材方面，观察体验类综艺节目热度不减，音乐、选秀竞技类节目战火延续，电商、时尚的兴起，潮流综艺迎来小高潮，直播带货格外火热，直播带货节目也同步落地开花。

iiMedia Research data show that in the second half of 2020, the mainstream platform network variety variety theme, observation experience class variety show heat, music, talent show competitive programs continue to fight, the rise of e-commerce, fashion, the trend of variety shows a small climax, live with goods extra hot, live delivery programs also synchronized flowering.

本报告研究涉及企业/品牌/案例：云测数据，龙猫数据。

在政策利好、场景需求剧增和5G落地等因素的推动下，中国AI行业的市场规模不断扩大，核心产业市场规模2020年将达到1500亿元，发展从规范化阶段向专业化阶段迈进，市场前景广阔。艾媒咨询分析师认为，随着技术的成熟、平台的布局，未来市场发展潜力将不断拓展，AI数据服务将被运用在多种实际场景，如医疗、金融、新零售和安防等。随着AI与传统行业的不断融合以及5G的发展，数据类型将会更加多样化，越来越多的企业将会随着场景定制化升级对精准度提出更高的要求，促使AI数据服务方式由粗放式向着精细化方向过渡。AI数据服务产业链的日趋完善促使竞争日趋激烈，因此数据服务的技术升级将成为竞争的焦点，在很大程度上直接影响数据服务商在市场的竞争地位。

Driven by factors such as favorable policies, a sharp increase in demand, and the launch of 5G, the market size of China's AI industry continues to expand. The core industry market size will reach 150 billion yuan in 2020, and development will move from the standardized stage to the professional stage with broad market prospects.iiMedia Consulting analysts believe that with the maturity of the technology and the layout of the platform, the future market development potential will continue to expand. Besides, AI data services will be used in a variety of practical areas, such as medical, financial, new retail and security.With the continuous integration of AI and traditional industries and the development of 5G, data types will become more diversified. In addition, more and more enterprises will put forward higher requirements for accuracy as scenarios are customized and upgraded, prompting AI data service transfer from extensive methods to refined methods.The increasing improvement of the AI data service industry chain has led to increasingly fierce competition. Therefore, the technological upgrading of data services will become the focus of competition, which to a large extent will directly affect the competitive position of data service providers in the market.

本报告研究涉及企业/品牌/案例：丁香园、叮当快药、字节跳动、小象大鹅、小红书、豌豆公主、阿里云、蜜蜂科技-BEEPLUS、盒马网络、回收宝、商汤科技、珞石科技、猿辅导、编程猫。

在产业数字化及居民消费升级的推动下，新经济产业蓬勃发展，培育出多家独角兽及准独角兽企业。在2020年中国新经济独角兽及准独角兽两百强榜单中，分别有39.5%和42.0%的独角兽及准独角兽企业分布在华东地区，并有71.0%及75.0%的独角兽及准独角兽企业分布在北上广，体现出北上广作为超一线城市在培育独角兽企业上具有明显优势。iiMedia Research(艾媒咨询)数据显示，在两百强名单中，企业服务领域分布了20家独角兽企业及49家准独角兽企业，体现出在新经济发展环境下，各类崭新的商业模式和领域被挖掘，同时也存在更多市场主体对企业服务存在需求，也推动更多企业服务企业跻身独角兽/准独角兽行列。

Driven by the industrial digitalization and increasing consuming power, the new economy industry is growing rapidly, and cultivated lots of unicorn and quasi unicorn enterprises. In the 2020 China New Economy Unicorn and Quasi Unicorn Enterprise Top200 List, 39.5% and 42.0% of the unicorn and quasi unicorn enterprises are located in the eastern China respectively, while 71.0% and 75.0% are located in Beijing, Shanghai and Guangzhou, which showed that as super tier one cities, Beijing, Shanghai and Guangzhou have the clear advantage in terms of cultivating unicorn enterprises. As the data of iiMedia Research showed, within the Top200 list, there are 20 unicorn enterprises and 49 quasi unicorn enterprises in the field of enterprise service, which showed that under the growth of new economy, new types of business models and fields are discovered, and there are more market entities that have demand on enterprise services, which pushed more enterprise service enterprises into the ranks of unicorn/quasi unicorn.

本报告研究涉及企业/品牌/案例：创新奇智，商汤科技，云天励飞。

在新基建的浪潮下，人工智能加速与大数据、云计算、5G、物联网等新兴技术双向赋能、深度协同，技术商业化进程逐渐加速。数据显示，2019年中国人工智能核心产业规模超过510亿元，预计2030年将超过10000亿元。艾媒咨询分析师认为，2020年国家新基建战略的出台将从政策资源、技术生态、应用场景等多个方面助力人工智能全面产业化，核心产业规模将继续强劲增长。人工智能在横向与纵向皆迅速迭代拓展，人工智能企业将迎来百花齐放的局面。但机遇的来临往往裹挟着挑战，诸如数据安全、隐私保护、过程监管等问题不容忽视。艾媒咨询分析师认为，技术是把双刃剑，需要配套的治理规范体系，才能确保相关产业的持续健康发展。市场对风险关切度的提升将加速驱动相关治理体系出台。

With the development of new infrastructure, artificial intelligence is accelerating two-way empowerment and in-depth collaboration with emerging technologies such as big data, cloud computing, 5G and the Internet of Things. The process of technology commercialization is gradually accelerating. As the data showed, the scale of China's core artificial intelligence industry exceeded 51 billion yuan in 2019 and is expected to exceed 1 trillion yuan in 2030. iiMedia consulting analysts believe that the launch of the new infrastructure strategy in 2020 will facilitate the full industrialization of artificial intelligence from policy resources, technology ecology, application scenarios and other aspects. The scale of core industries will continue to grow strongly. Artificial intelligence rapidly expands in both horizontal and vertica. Artificial intelligence enterprises booms in related fields. But opportunities often come with challenges, such as data security, privacy protection, process supervision and other issues can not be ignored. iiMedia consulting analysts believe that technology is a double-edged sword, which requires a supporting regulatory system to ensure the sustainable and healthy development of related industries. The improvement of the market's risk sensitivity will accelerate the introduction of relevant governance systems.

iiMedia Research（艾媒咨询）数据显示，过去五年在线旅游用户的规模不断扩大，2019年中国在线旅游用户规模超过4亿人。门票业务作为旅游景区的核心产品，线上化仍有很大发展空间。2019年中国景区门票线上化渗透率约为18.3%，门票在线交易额为288.8亿元。国内景区门票预订市场已经形成一超多强的格局，前三大在线预订平台门票交易量总份额占比接近九成。2020年以来，新冠疫情对旅游景区消费市场带来了新的变化，一方面景区在政策要求和引导下，加快落实景区门票网络预约制，叠加线下游客骤减等困境压力，景区将加速拥抱在线预订平台；另一方面，多地景区关停政策以及门票预约制的实施驱使游客通过在线平台获取景区相关信息及产品服务。艾媒咨询分析师认为，在政策、市场、平台等多方因素的共同作用下，景区门票线上化率将大幅提升，旅游在线预订平台将迎来发展良机。

According to the data of iiMedia research, the scale of online tourism users has been expanding in the past five years, and the scale of online tourism users in China will exceed 400 million in 2019. As the core product of tourist attractions, ticket business still has a lot of room for online development. In 2019, the online penetration rate of tickets for scenic spots in China is about 18.3%, and the online transaction volume of tickets is 28.88 billion yuan. The domestic scenic spot ticket booking market has formed a pattern of "one super many strong", and the total share of ticket trading volume of the top three online booking platforms accounts for nearly 90%. Since 2020, the new crown epidemic has brought new changes to the consumption market of tourist attractions. On the one hand, under the guidance of policy requirements, the scenic spots will speed up the implementation of the online booking system of scenic tickets, which will add up the pressure of the sudden reduction of downstream customers, and the scenic spots will accelerate to embrace the online booking platform; on the other hand, the implementation of the multi scenic area closure policy and the ticket booking system will drive tourists through the online platform Obtain relevant information and product services of the scenic spot. iiMedia consulting analysts believe that under the joint effect of policies, markets, platforms and other factors, the online rate of scenic tickets will be greatly increased, and the online booking platform for tourism will usher in a good opportunity for development.

本报告研究涉及企业/品牌/案例：宝钢股份，华菱钢铁，河钢股份，沙钢股份；其他提及企业/品牌：钢之家，兰格钢铁，我的钢铁，找钢，荷钢网，中国联合钢铁网，东方钢铁，在线海鑫钢网，中拓钢铁网，中钢在线，运钢网，嘀嘀拼钢，斯迪尔，欧浦智网，三钢闽光，新兴铸管，重庆钢铁，山东钢铁，南钢股份，马钢股份

2020年4月1日，全球知名的新经济产业第三方数据挖掘和分析机构iiMedia Research(艾媒咨询) 发布《2020年中国钢材市场运行大数据与市场发展趋势研究报告》。报告根据艾媒数据中心、艾媒咨询商业情报数据库、艾媒商情舆情数据监测系统基础数据，对2020年中国钢铁行业及其细分领域的粗钢、螺纹钢等进行分析。此外，报告探讨产业上下游的运营模式，结合对宝钢股份、华菱钢铁、河钢股份和沙钢股份四家典型企业的案例分析，对钢铁行业总体运行情况进行分析，并结合新冠疫情对2020-2021年钢铁产业发展进行趋势预判。数据显示，2019年钢材产销率基本稳定在99%以上。但是2018年，中国钢铁产业集中度仅为35.3%。产业集中度偏低成为中国钢铁行业进一步发展的巨大障碍，一定程度上限制了中国钢铁企业的国际竞争力。艾媒咨询分析师认为。2019年中国钢材的国内需求增长强劲，特别是疫情影响下2020年新基建建设、智能汽车发展等需求将进一步拉动钢材的行业增长。

China's domestic demand for steel products has grown strongly in 2019, and rebar, as one of the essential raw materials for infrastructure construction, also occupies an important position in the financial market. Data show that in 2019, the average weekly rebar output in China was 3.49 million tons, an increase of 10.4% year-on-year. In addition, with the continuous improvement of the e-commerce platform and the logistics industry, the market share of steel e-commerce will continue to increase. It is expected that the growth rate of steel e-commerce will remain above 38% in the next three years.

本报告研究涉及企业/品牌/案例：华为，大立科技，云测数据，京东众智，百度数据众包，阿里云，百度智能云，深海科技，商汤，云从科技，依图，阅面科技，出门问问，科大讯飞，云知声，普强信息，阿里巴巴，百度，腾讯，京东，松鼠AI，小i机器人，图灵机器人，海康威视，学堂在线，知鸟，蚂蚁金服，第四范式，京东数科，百度医疗大脑，阿里健康，平安智慧城市，一汽，大众，启辰，东风日产

中国人工智能产业增长快速，预计2030年中国人工智能核心产业规模将突破10000亿元。数据的沉积、算法的优化和算力的提升为人工智能技术的商业化应用奠定了坚实基础。越来越多传统行业借助人工智能技术进行转型升级，并受到大众的广泛关注。iiMedia Research(艾媒咨询)数据显示，人工智能与金融、安防、医疗、教育等领域的融合发展成为大众的重点关注领域，37.8%的受访者表示最了解人工智能在金融领域的应用；39.3%的受访者最期待人工智能在医疗领域的应用；66.8%的受访者对人工智能未来发展表示看好。艾媒咨询分析师认为，随着人工智能领域细分化和专业化程度的不断提升，人工智能商业化进程将会提速，但快速发展携带而来的信息安全风险以及道德伦理问题不容忽视。
China's artificial intelligence industry is growing rapidly. It is expected that the scale of China's artificial intelligence core industry will exceed 100 billion yuan in 2030. The deposition of data, the optimization of algorithms, and the enhancement of computing power have laid a solid foundation for the commercial application of artificial intelligence technology. More and more traditional industries rely on artificial intelligence technology for transformation and upgrading, and they have attracted widespread attention. According to iiMedia Research data, the integrated development of artificial intelligence and finance, security, medical care, education and other fields has become the focus of attention of the public. 37.8% of the respondents said they knew the application of artificial intelligence in the financial field best; 39.3 % Of the respondents are most looking forward to the application of artificial intelligence in the medical field; 66.8% of the respondents are optimistic about the future development of artificial intelligence. iiMedia Consulting analysts believe that with the continuous improvement of the segmentation and specialization of the artificial intelligence field, the commercialization of artificial intelligence will accelerate, but the information security risks and ethical issues brought about by rapid development cannot be ignored.

本报告研究涉及企业/品牌/案例：华为，小米，vivo，OPPO，中国移动，中国联通，中国电信，苹果，诺基亚，魅族，三星，一加，红米，荣耀，高通，联发科，紫光展锐，英特尔，Broadcom，Skyworks，Qorvo，Murate，LG，三洋，宁德时代，比亚迪，NanoGraf，京东方，深天马A，华星光电

随着智能手机的不断普及，4G市场饱和趋势已经显现，5G商用的落地将带动5G手机发展，为手机产业带来新的活力。iiMedia Research（艾媒咨询）数据显示，预计2020-2023年将会出现5G手机的换机潮，2023年全球5G智能手机出货量将会增至40130万台。目前，华为、VO、小米等中国手机品牌都已经参与了5G市场争夺战。并且，5G手机将进一步带动产业链上下游发展，上游的元器件制造商、中游的通信设备商和下游的终端厂商都将收益，预计2025年5G相关产品和服务市场规模将达到1.15万亿元。艾媒咨询分析师认为，在政策利好、经济繁荣、技术发展和社会需求扩大的背景下，5G手机行业将会加速发展，具备较强技术实力和经济实力的玩家有望成为赛道领跑者，行业头部效应逐渐凸显。

With the continuous popularization of smart phones, the saturation trend of 4G market has emerged. The landing of 5G commercial will drive the development of 5G mobile phones and bring new vitality to the mobile phone industry. IiMedia Research (AI Media Consulting) data show that it is expected that there will be a change of 5G mobile phones in 2020-2023, and the global shipment of 5G smart phones will increase to 401.3 million units in 2023. At present, Huawei, VO, Xiaomi and other Chinese mobile phone brands have all taken part in the 5G market battle. In addition, 5G mobile phones will further drive the development of the upstream and downstream of the industrial chain. The upstream component manufacturers, the middle-stream communication equipment manufacturers and the downstream terminal manufacturers will all benefit. It is estimated that the market size of 5G related products and services will reach 1.15 trillion yuan in 2025. Ai Mei's consulting analysts believe that under the background of favorable policies, economic prosperity, technological development and expanding social demand, the 5G mobile phone industry will accelerate its development. Players with strong technological and economic strength are expected to become track leaders and the head effect of the industry will gradually become prominent.

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.