Cross-Industry Value Creation and Trusted Data Collaboration to Realize Data Spaces
AI Utilization and New Value Creation Driven by the Evolution of Data Spaces
A Framework for Sharing Industrial Data to Enhance AI-Driven Decision-Making
By connecting industrial data across companies and organizations and leveraging it for AI-driven decision-making, we can tackle social challenges that cannot be solved in isolation and unlock new business opportunities. Building on this foundation of data collaboration and advanced AI, we will evolve into an “AI Space” where knowledge and value are shared, accelerating growth and innovation across the entire ecosystem.
From Generative AI to Agentic AI—Elevating the Quality of Utilization
As AI evolves from generative to agentic, the importance of data quality continues to grow. With high-quality data, AI can make autonomous decisions and take action, enabling decision-making that transcends traditional boundaries. This empowers companies to respond more quickly and accurately, strengthening their competitive edge.
What Is a Data Space
A data space is an initiative where participants maintain data sovereignty while leveraging advanced technologies such as blockchain to securely collaborate and share data with trusted partners, creating new value. In today’s rapidly changing business environment, achieving sustainable corporate value requires improving both the “quality of insights” derived from data and the “speed” of decision-making. The key to unlocking this lies in AI. Uvance combines advanced data integration with AI to evolve data spaces into an “AI Space”—a shared platform for knowledge and value—aiming to bring this innovation to businesses and society.
Three Key Strengths of Fujitsu/Uvance in Leading Data Space Implementation
Fujitsu integrates Data Spaces capabilities into its products and services to enable seamless data collaboration across industries and organizations, ensuring secure and trusted sharing. We are developing and implementing use cases in diverse sectors such as manufacturing, finance, and healthcare to demonstrate the business value of Data Spaces. In addition, we provide architecture design and consulting services tailored to enterprise needs, supporting both the build and operation phases. Through these efforts, Fujitsu is contributing to the realization of a data-driven society.
1. Governance and rule-making that lead international standardization
To address cross-industry challenges in rapidly evolving fields such as AI, quantum technologies, and communications, we are actively engaged in rule-making for data spaces. By collaborating with international standardization bodies and industry consortia, we are helping shape governance frameworks around AI ethics and data sovereignty. Our proprietary technology, IDYX Trust Interconnect, has already demonstrated successful interoperability with global data spaces such as Europe’s Catena-X, and these efforts have earned high recognition from expert organizations both in Japan and abroad.
2. “IDYX Trust Interconnect” — a trust technology enabling cross-industry collaboration
To enable trusted data exchange between companies, Uvance has developed the advanced trust technology, IDYX Trust Interconnect. By making corporate digital certificates interoperable across countries and industries, we successfully demonstrated connectivity to Catena-X, a European Data Space. This technology ensures secure and decentralized data distribution through authenticity verification, protocol conversion, and certificate transformation, earning high recognition in the industry.
3. Reliability backed by global certification and interoperability
Fujitsu has obtained international certifications such as ISO/IEC 27001 in the field of information security and is highly recognized for its commitment to privacy protection. Furthermore, our proprietary technology, IDYX Trust Interconnect, has successfully demonstrated connectivity with Catena-X in Europe, showcasing advanced trust capabilities and leadership in rule-making for global interoperability. These achievements have been featured at international exhibitions and standards organizations, reinforcing Fujitsu’s reputation for reliability and technological excellence.
Creating value that no single company or industry could achieve alone
By enabling cross-industry and cross-company data sharing, we maximize both business and social impact.Breaking down traditional data silos and establishing trusted data circulation unlocks tangible outcomes such as optimized supply chains, advanced demand forecasting, and more efficient product lifecycle management—directly enhancing competitiveness.Furthermore, initiatives like improving diagnostic accuracy through medical data integration and accelerating decarbonization using environmental data contribute to solving societal challenges.With a framework that ensures interoperability and governance, companies can confidently leverage data, accelerating data-driven decision-making.This approach empowers sustainable growth while simultaneously creating social value.
Initiatives Driving Uvance’s Data Space Vision
Through the framework of data spaces, Uvance collaborates with governments, industry associations, enterprises, partners, and research institutions to unlock new value from data across sectors such as pharmaceuticals, supply chains, and consulting. These 12 initiatives aim to build an open, trusted data ecosystem and tackle pressing challenges in both society and business.
National Initiatives
Pharmaceuticals Working Group
Aiming to maintain drug quality and ensure stable supply, this initiative visualizes temperature control and theoretical inventory across the supply chain—from manufacturing sites to pharmacies and hospitals—and conducts joint transportation pilot tests to optimize logistics.
Fujitsu supports pharmaceutical logistics efficiency by leveraging SIP elemental technologies to collect, standardize, and exchange temperature and cargo data, enabling temperature traceability, joint delivery, and pallet transport simulations.
Chemicals Working Group
To address Japan’s 2024 logistics challenge, pilot and desk-based tests of joint transportation among multiple companies are being conducted in Ichihara and Yokkaichi.
Fujitsu is building a PoC data platform that aggregates and standardizes essential item and delivery destination information for joint transportation, supporting efficient logistics collaboration.
Collaboration with Industry Associations
Council for Manufacturing, Distribution, and Sales Collaboration
To improve logistics efficiency for processed foods and daily goods, discussions are underway on standardizing product master data and logistics materials.
Fujitsu provides its SIP platform to the organizing Distribution Economics Institute and is building systems that support logistics optimization, such as an ecosystem for delivery slips.
Japan Automobile Manufacturers Association (JAMA)
Through collaboration within JAMA’s motorcycle working group led by Honda and Yamaha, efforts are progressing on system design and PoC concepts for joint transportation of finished motorcycles.
Fujitsu supports this initiative as PMO, helping design optimal joint transportation schemes and formulate PoCs suitable for real-world validation.
Ministry of Economy, Trade and Industry – Component Industry Association
To strengthen and streamline BCP (Business Continuity Planning) measures in preparation for emergencies such as natural disasters, the association has defined FY25 collaboration areas and is conducting industry surveys toward data platform implementation.
Fujitsu has been commissioned to lead the survey phase on emergency supply chain management information for FY25 and is actively driving the project forward.
Alliance with Customers
Centered on Nissin Foods, we are working to align commercial and logistics data in the food procurement domain to validate operational improvement benefits. Fujitsu plans to leverage its existing EDI integration platform and SIP technology to build and deliver a data infrastructure that collects, standardizes, and exchanges commercial and logistics data.
Collaboration with Consulting Firms
GTM / Executive-Level Engagement
While building the DIP data platform, we are conducting initial diagnostics and monitoring/reporting the progress of customer improvement initiatives to identify new opportunities for action. Fujitsu is proactively engaging in concrete discussions to drive business expansion in both the short and mid-term, and plans a joint visit to BCG’s executive leadership in October 2025.
Standardization-Linked GTM
For FY25, Deloitte has been selected as the joint delivery consultant for the Physical Internet Chemicals Working Group, and activities beyond FY25 are under consideration. Additionally, Fujitsu will showcase its demo at Deloitte’s AI Experience Center in Otemachi. Deloitte has expressed interest in continued collaboration after FY25, and Fujitsu aims to co-create use cases for chemical logistics consolidation once the WG’s activities take shape.
Collaboration with Partner Companies
Joint Transportation on Main Routes
To address Japan’s 2024 logistics challenge, we offer scheduled open joint transportation services (SST services) that allow selection and reservation of trunk line schedules by standard pallet units, ensuring availability when needed.
Fujitsu has invested 10% (¥50 million) in SST and provides the data infrastructure and business applications necessary to enable joint transportation.
Streamlining, Advancing, and Differentiating Supply Chains
To achieve smooth and advanced SCM, we are working to eliminate fragmentation and inconsistencies in master data—a key challenge—through a strategic partnership with eBASE, the industry leader in master data pooling. This collaboration aims to expand and differentiate SCM business.
Fujitsu is the only SI vendor at the negotiation table and has secured strategic endorsement for this partnership. We are moving quickly toward decisions and execution on both operational and capital alliances.
Collaboration with Our Research Institutions
Digital Rehearsal for Supply Chain Optimization and Resilience
We conduct comprehensive analysis and forecasting of how various uncertain scenarios—such as climate change, rising prices, and geopolitical risks—impact the entire supply chain. Beyond assessment, we propose improvement measures such as switching transportation modes and diversifying procurement sources to mitigate these effects. By taking strategic, proactive steps, we aim to optimize and strengthen supply chain resilience.
Fujitsu is advancing practical applications such as PoC in the food and chemical industries and is exploring integration with the Dynamic Supply Chain offering in collaboration with our Research Labs and the DSC Business Unit.
Cross-Supply Chain Multi-AI Agent
We are strengthening foundational generative AI technologies that enhance on-site capabilities and quality, aiming for autonomous optimization of e-commerce and supply chains through AI agents with rigorous ethics, data governance, and security.
In FY25, Fujitsu is leading these efforts as chair of the Autonomous AI Agent Working Group, under the leadership of Chairman Furuta, who serves as COCN President.
FAQ
What are the use cases of a data space?
A data space is a framework that enables secure data exchange across companies and industries.
By allowing organizations to share data directly with one another, it enables the following use cases:
Enhancing AI capabilities across participating organizations
Supply chain optimization, including inventory and logistics efficiency and demand–supply coordination
Visualization and sharing of CO₂ emissions data (CFP and GHG)
Traceability of parts and products
Creation of new services through cross‑industry data collaboration
What is the difference between a data space and an industry data space?
Data Space (general): A standardized data‑sharing framework designed for participation by a wide range of companies across multiple industries. Industrial Data Space: A data space tailored to the specific needs of a particular industry, such as automotive or manufacturing.
What is the purpose of a data space?
Data spaces have four main objectives:
To enable secure and trustworthy data sharing while preserving data sovereignty
To address industry‑wide challenges such as ESG, circular economy initiatives, and resilient supply chains
To create new value through cross‑industry collaboration
To support efficient data exchange in response to international regulations, such as the European Battery Regulation
What is the difference between a data space and a database?
A database is designed to store and manage data within a single organization.
In contrast, a data space enables multiple companies and organizations to securely and flexibly share data while maintaining trust and control over their data, thereby creating value together without centralizing the data.
How is a data space related to Catena‑X?
Catena‑X is a production‑ready implementation of the data space concept specifically designed for the automotive industry.
It is regarded as a representative example of a data space and is positioned as a distributed industrial data space tailored to automotive value chains.
Are there any concrete examples of data spaces?
Fujitsu is advancing concrete data space initiatives primarily in logistics, manufacturing, and supply chain domains, enabling secure inter‑company data sharing while preserving data sovereignty.
These initiatives include joint transportation and delivery platforms, data collaboration across physical distribution and commercial flows in the food industry, information sharing in pharmaceutical and chemical logistics, and EV battery data collaboration within the Ouranos ecosystem. Through proof‑of‑concepts and commercial deployments, Fujitsu is driving real‑world adoption of data spaces.
Related Links
Transforming Executive Decision-Making with Data & AI: Maximizing Business and Social Impact
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