Core Insights - The survey conducted by Shupeng Technology and the Public Data Alliance highlights the growing recognition among enterprises of the importance of a trusted data space for enhancing data security, facilitating cross-organizational data flow, and promoting data element operations [1][2] - A significant 70% of surveyed enterprises plan to initiate the construction of a trusted data space in the near future, indicating a strong market trend towards this infrastructure [1][12] Group 1: Motivation and Demand - The primary driver for the construction of trusted data spaces is top-down policy support, cited by 66.7% of respondents, followed closely by self-development needs and collaborative ecosystem building, each at 63.0% [4] - The most urgent demand scenario identified is achieving cross-organizational data flow, with 66.7% of enterprises prioritizing this need, followed by data element operations at 63.0% [7] Group 2: Challenges and Technology Selection - The main challenge faced in building trusted data spaces is the high cost and resource investment, reported by 74.1% of respondents, followed by difficulties in technology integration due to data heterogeneity (55.6%) and a lack of professional talent (55.6%) [6] - The technology requirements for trusted data spaces show a clear hierarchy, with identity authentication and access management being the most critical technology at 77.8%, followed by data interoperability and privacy computing at 66.7% [9] Group 3: Deployment Methods and Cost Expectations - The preferred deployment method for trusted data spaces is SaaS, favored by 63.0% of respondents, as it addresses the high resource and cost challenges effectively [8] - Over 65% of small and medium-sized enterprises prefer using government-provided or leading enterprise-led trusted data spaces, while larger enterprises show a higher inclination towards self-built private deployments [12] Group 4: Future Trends and Development Recommendations - Recommendations for future development include strengthening ecosystem collaboration among government, leading enterprises, and data infrastructure providers to explore innovative business models [14] - Accelerating core technology evolution is essential, with a focus on lightweight architecture and AI integration to support high concurrency and intelligent applications [14]