四是国际分工近岸化趋势推动服务贸易区域化发展进程加快。近年来，贸易保护主义向服务领域蔓延， 进而出现周边化、区域化发展趋势。部分国家因数据跨境流动限制措施，导致与之相关的离岸服务外包 增长放缓，向近岸、友岸转移。在旅行服务领域，自新冠疫情以来，跨洲长途游复苏滞后，跨境旅游呈 现明显区域化、近程化趋势。 党的二十届三中全会围绕完善高水平对外开放体制机制作出重要部署，提出创新提升服务贸易。总体来 看，全球服务贸易发展潜力大、空间广阔，增速仍将快于货物贸易，在全球贸易中的地位持续提升的态 势不会改变。同时还要看到，在贸易保护主义、单边主义抬头的背景下，服务贸易发展也面临风险挑 战。需把握和顺应全球服务贸易发展的趋势和特点，推动我国服务贸易高质量发展。 随着技术创新、产业变革以及产业链供应链深度调整，全球服务贸易迎来新的发展机遇，呈现一些新趋 势新特点。 一是人工智能等数智技术驱动的数据贸易发展加快。智能驾驶、大模型等人工智能技术突飞猛进，对跨 境数据服务产生巨大需求。据世界贸易组织统计，近年来与数据贸易关联度较大的信息服务贸易平均增 速超9%，远高于同期服务出口总额年均5%的增速。美国是全球主要的数据贸易出口国，每 ...

Core Insights - Data is a key production factor in the digital economy and is becoming an important engine for high-quality economic and social development [1] - Data trade is rapidly developing as a significant new driver of global trade, with innovative business models emerging [2][4] - Strengthening policies and mechanisms to leverage data resources is essential for creating new advantages in data trade [1][5] Industry Overview - Data trade, as a cross-section of digital and service trade, focuses on transactions involving data products and services, which is crucial for releasing economic growth potential [2] - The global information service export related to data trade increased from approximately $40.9 billion in 2018 to about $63.8 billion in 2023, indicating significant growth potential in the data trade market [2] - The number of companies in the data sector exceeds 190,000, with the industry scale surpassing 2 trillion yuan, expected to reach 7.5 trillion yuan by 2030 [5] Development Opportunities - Developing data trade can effectively gather global data resources and enhance domestic and cross-border data governance capabilities, promoting high-quality development of the data industry [3] - The integration of data trade with artificial intelligence technologies is crucial for driving breakthroughs and industrial transformation [3] Global Competitive Landscape - Different countries have varying positions in the global data trade value chain, with the U.S. leading in data service exports, while Europe has established a robust regulatory framework [4] - Early planning and systematic layout of data trade development can help China move towards the high end of the global value chain [4] Challenges and Bottlenecks - There are challenges in data ownership rights, pricing mechanisms, and the need for mature trading models, which hinder the development of data trade [6][7] - Compliance costs for data export remain high, and there is a lack of global unified data standards, leading to increased processing costs and risks [7] Strategic Recommendations - Strengthening top-level design and international cooperation in data trade is essential for high-quality development [8] - Establishing high-standard data trade rules and a cross-border security protection system is necessary to ensure data safety while promoting trade [8] - Encouraging the development of international data service cooperation zones and fostering competitive data service providers will enhance global competitiveness [9][10]