Group 1 - The Jinan Municipal Government is implementing the "Signal Upgrade" initiative to enhance the coverage of "dual-gigabit" networks and accelerate the deployment of 5G-A technology, with the number of 5G base stations reaching 63,000 [3] - The city aims to optimize the functionality of its trusted data space, facilitating efficient integration of public, enterprise, and social data [3] - There will be an enhancement of the "space-ground-air" integrated sensing network, promoting the application of satellite remote sensing and drone inspection technologies, with over 11,000 new sensing devices to be installed [3]

Core Viewpoint - The urban trusted data space is a key infrastructure led by the government to promote the development and utilization of urban data resources, serving as a bridge between data supply and application [1][2]. Development Drivers Policy - The establishment of urban trusted data spaces is encouraged through a series of top-level designs and strategic plans aimed at market-oriented data element reforms, with the first batch of 13 pilot cities announced [4][5]. Technology - Privacy computing and blockchain technology are pivotal in addressing the challenges of trusted data circulation, enabling data sharing while ensuring compliance and security [5][6]. Demand - With China's data production expected to exceed 40ZB by 2024, the urban trusted data space is essential for enhancing urban governance efficiency by integrating and utilizing public data resources [8]. Value of Urban Trusted Data Space - The urban trusted data space aims to resolve issues such as the lack of trust mechanisms and inefficient circulation in urban governance, thereby enhancing the efficiency of public data utilization and supporting modern urban governance [11]. Overall Framework - The urban trusted data space is built on a governance cloud infrastructure, allowing secure data access and supporting various applications through a collaborative ecosystem [13]. Core Capabilities - The core capabilities of the urban trusted data space include trusted control, resource interaction, and value co-creation, which are essential for establishing a reliable data circulation infrastructure [16]. Industry Chain and Players - The urban trusted data space involves five main entities: operators, data providers, data users, data service providers, and regulatory bodies, each playing a crucial role in the ecosystem [21]. Competitive Analysis - In the technical service sector, comprehensive and specialized firms compete, with ICT background cloud service providers leading in capabilities [24]. Application Scenarios Government Services - The urban trusted data space facilitates inter-departmental data sharing, enhancing government services and decision-making through improved data accessibility [27]. Inclusive Finance - By integrating government and financial data, the urban trusted data space supports the development of dynamic risk assessment models, promoting inclusive financial services [30]. Case Studies Zhangjiakou Trusted Data Space - The Zhangjiakou trusted data space employs a "one space, four platforms, one system" architecture to support secure data circulation and enhance public data value [33][35]. Shanghai Trusted Data Space - Shanghai's urban trusted data space, leveraging blockchain technology, aims to meet the complex data needs of a megacity, facilitating secure and efficient data utilization [37][39]. Technology Trends - AI is becoming a key driver in enhancing data governance efficiency, transitioning from manual to automated and intelligent governance strategies [42]. Application Trends - The urban trusted data space is evolving from single pilot projects to collaborative ecosystems, attracting industry and enterprise participation to explore vertical applications [44][45].

Core Insights - The 2026 IT trends conference hosted by CCID Consulting highlighted key areas such as computing power, storage, AI, industrial software, cybersecurity, satellite communication, industrial internet, financial digital transformation, and urban trusted data spaces, with insights from ten senior analysts [2] Group 1: Artificial Intelligence - The integration of cloud and data intelligence will solidify AI infrastructure, with AI-enhanced SaaS and task-oriented terminals accelerating adoption in key sectors like industry, government, and healthcare [2] - After the general model craze, large models will focus on vertical small models and autonomous intelligent agents, evolving from a "general base" to an "intelligent engine" driving industrial transformation [5] Group 2: Computing Power - The local computing ecosystem is maturing, with domestic brands expected to sell over 280,000 computing servers in 2026, leading to large-scale implementation of interconnected computing power [2][3] Group 3: Storage - The demand for AI is driving a "super cycle" in the storage industry, with prices for consumer-grade SSDs potentially doubling and high-bandwidth memory (HBM) demand continuing to rise [3] Group 4: Industrial Software - Industrial software is crucial for transitioning manufacturing from experience-driven to data-driven, enhancing efficiency and resource allocation [3] Group 5: Cybersecurity - The Chinese cybersecurity system will increasingly focus on intelligent upgrades and resilience, driven by evolving market demands and mature core technologies [4] Group 6: Satellite Communication - Satellite communication is becoming a core pillar of national strategic technological strength, facilitating seamless coverage and supporting future industries like low-altitude economy and space resource development [3] Group 7: Digital Transformation in Finance - New AI technologies are reshaping the foundational logic and operational methods of financial services, driving digital transformation in the financial sector [6] - The integration of generative AI in financial verticals is transforming IT from a supportive tool to a core engine of financial innovation [6] Group 8: Urban Trusted Data Spaces - The construction of a secure and trusted data circulation ecosystem is essential for driving high-quality urban development, enhancing modern governance and digital collaboration [5]

Core Insights - The urban trusted data space is a government-led data infrastructure that facilitates the development and utilization of urban data resources, serving as a key carrier for trusted data space [1][2] Development Drivers - **Policy**: The establishment of a trusted data space is encouraged through a series of top-level designs and strategic plans aimed at promoting the compliant and efficient circulation of data. The "Trusted Data Space Development Action Plan (2024-2028)" supports the creation of urban trusted data spaces, with 13 pilot cities already announced [4][5] - **Technology**: Privacy computing and blockchain technology are introduced to address the challenges of trusted data circulation, enabling data owners to share data more confidently and willingly [5][6] - **Demand**: With China's data production expected to exceed 40ZB by 2024, the underutilization of data resources in urban governance highlights the need for trusted data spaces to enhance governance efficiency [8] Value Proposition - The urban trusted data space aims to break down data circulation barriers, activate the potential of data elements, and promote the modernization of urban governance. It enhances public service accessibility and refines urban governance through effective data utilization [11] Overall Framework - The urban trusted data space is built around a foundational infrastructure, two major platforms, and aims to empower urban digital transformation by ensuring secure data access and management [13] Core Capabilities - The core capabilities of the urban trusted data space include trusted control, resource interaction, and value co-creation, which are essential for establishing a reliable data circulation infrastructure [16] Industry Chain and Players - The urban trusted data space involves five main entities: operators, data providers, data users, data service providers, and regulatory bodies, each playing a crucial role in the ecosystem [21] Competitive Landscape - In the technical service sector, comprehensive and specialized service providers compete, with ICT background cloud service providers like Inspur Cloud leading the market due to their integrated capabilities [24] Application Scenarios - **Government Services**: The urban trusted data space facilitates inter-departmental data sharing, enhancing government efficiency through initiatives like "one network for all services" [27] - **Inclusive Finance**: By integrating government and financial data, the urban trusted data space supports the development of dynamic risk assessment models, promoting inclusive financial services [30] Case Studies - **Zhangjiakou Trusted Data Space**: This platform exemplifies a city-level data circulation infrastructure, supporting public and social data flow through a structured framework [33][35] - **Shanghai Trusted Data Space**: This initiative addresses the complexities of data circulation in a mega-city, utilizing blockchain technology to ensure secure and efficient data use [37][39] Technical Trends - AI technologies are becoming pivotal in enhancing data governance efficiency, transitioning from manual to automated and intelligent governance strategies [42] Future Trends - The urban trusted data space is expected to evolve from pilot projects to a collaborative ecosystem, attracting industry and enterprise participation to explore vertical applications [44][45]