NeuSoft(SH:600718) 艾瑞咨询·2025-09-14 00:07Core Insights - Data is recognized as the fifth production factor, characterized by non-competition, replicability, and unlimited growth potential, making its value extraction process more complex than traditional production factors [1] - The development of the data factor market relies heavily on a clear policy framework and implementation pathways, with local data trading institutions and data merchants emerging as key drivers [1] - The establishment of a robust ecosystem for data supply and usage is essential to achieve the goals of effective data flow and security [1] Group 1: Industry Overview - The data factor market is currently in a critical phase driven by policies and practical explorations, with the establishment of the National Data Bureau marking a significant step towards a unified national data market [19][20] - The market is projected to exceed 200 billion by 2025, with a compound annual growth rate of over 25% [23] - The construction of a complete national data circulation system is planned over the next five years, aiming to empower the real economy and break data monopolies [27] Group 2: Service Providers and Evaluation - The "iResearch - Top 30 Data Factor Service Providers" list includes companies recognized for their comprehensive capabilities in the data factor industry [7][9] - The evaluation model for service providers includes four core dimensions: industry depth, product and technology capabilities, service capabilities, and ecosystem capabilities [4] - The selection process involved consultations with industry experts and was based on a thorough assessment of the companies' current capabilities [2][3] Group 3: Case Studies and Applications - Neusoft's City Data Value Empowerment Platform focuses on key areas such as smart healthcare and employment, creating a comprehensive service ecosystem [11][12] - The platform aims to enhance urban digital transformation and improve governance through data integration and intelligent services [12] - The "Fujian Public Service Operation Platform" exemplifies a model that integrates service, regulation, and operation across various sectors [15] Group 4: Challenges and Future Directions - The industry faces challenges such as an incomplete pricing system and compliance barriers that hinder data circulation [31][28] - A dual approach involving standardization and case studies is proposed to address these challenges and facilitate the deep release of data value [31][29] - The focus on high-quality data sets and specialized intelligent entities is expected to become mainstream, with ecosystem building and scenario construction as core competitive advantages [20][21]