Group 1 - The 14th China Intellectual Property Annual Conference was held in Beijing from September 11 to 12, focusing on "Intellectual Property in the Digital Age" [1] - In 2024, China's data production is projected to reach 41.06 zettabytes (ZB), accounting for 26.67% of the global total, equivalent to producing over 13 million high-complexity 3D animated films like "Ne Zha" [1] - The core industry value added of the digital economy has surpassed 10% of GDP, with the national data market transaction scale exceeding 160 billion yuan [1] Group 2 - The National Intellectual Property Administration (NIPA) proposed that the objects of data intellectual property protection include data sets obtained legally and processed according to certain rules, which have practical value and intellectual property attributes [2] - The "data + rules" approach aims to clarify the data objects that need protection, thereby stimulating innovation and promoting data transaction flow [2] Group 3 - Since July 2021, NIPA has launched pilot projects for data intellectual property in 17 provinces and cities, with nearly 30,000 data intellectual property registration certificates issued by June 2025 [3] - Cumulatively, 58,000 data intellectual property registration applications have been accepted, with over 90% of the registrants being enterprises [3] - The cumulative financing guarantee amount for data intellectual property has exceeded 10 billion yuan, with transaction licensing amounts over 580 million yuan and securitization amounts exceeding 200 million yuan [3] Group 4 - The protection of intellectual property in the field of artificial intelligence (AI) is a key topic at the annual conference, as AI drives a new round of technological revolution [4] - Intellectual property in AI includes high-value invention patents, high-level integrated circuit layout designs, valuable data resources, premium copyrights, advanced algorithms, and computer programs [4] Group 5 - China is advancing institutional innovation in AI intellectual property protection by revising the "Patent Examination Guidelines" and releasing "Guidelines for Patent Applications Related to Artificial Intelligence," allowing inventions involving AI to apply for patent protection [5] - The standards for examining the "creativity" of AI patents have been improved to guide the application of AI technology [5] - Establishing a sound mechanism for the distribution of benefits from intellectual property transformation is aimed at stimulating the enthusiasm of innovation entities and ensuring the steady progress of the AI industry [5]

Group 1 - The report focuses on the development trends of artificial intelligence (AI) intellectual property, highlighting the explosive growth in AI terminal applications and patent layouts [1][2] - Global smartphone shipments are expected to reach 1.24 billion units in 2024, with a 6.4% year-on-year increase, marking a strong recovery after two years of decline [8][9] - AI PC shipments are projected to account for 23% of the global PC market in Q4 2024, with an 18% quarter-on-quarter growth, indicating new opportunities for PC manufacturers [6][10] Group 2 - The trend of AI patent applications has evolved from basic technology accumulation to rapid growth and then to rational layout, with a peak in 2022 followed by a decline [2][17] - China holds a significant position in global AI patent applications, accounting for 66% of the total, with a focus on hardware, data processing, and image/video recognition technologies [2][18] - Major applicants in China's AI patent landscape include both enterprises and universities, with five Chinese entities among the top ten global applicants [22][23] Group 3 - In the generative AI sector, China leads globally with 38,000 patent applications, significantly outpacing the United States [27][30] - Key players in generative AI model patents include Tencent, Ping An, and Baidu, with Tencent holding the highest number of patents at 1,363 [30] - Collaborative patent applications between research institutions and enterprises have increased, with joint applications accounting for about 18% of total applications in the past five years [2][33] Group 4 - The report emphasizes the need for enhanced collaboration between research institutions and enterprises to foster AI industry development [2][31] - Recommendations include establishing demand matching platforms, innovating university patent licensing models, and cultivating local application benchmarks [2][31]