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市場調查報告書
商品編碼
1787916
數位循環經濟市場,預測至 2032 年:按組件、部署模式、組織規模、經營模式、技術、最終用戶和地區進行的全球分析Digital Circular Economy Market Forecasts to 2032 - Global Analysis By Component, Deployment Mode, Organization Size (Large Enterprises and Small & Medium Enterprises ), Business Model, Technology, End User and By Geography |
根據 Stratistics MRC 的數據,全球數位循環經濟市場預計在 2025 年達到 34.6 億美元,預計到 2032 年將達到 178.7 億美元,預測期內的複合年成長率為 26.42%。
數位循環經濟是一種利用區塊鏈、物聯網、巨量資料和人工智慧等數位技術,透過鼓勵回收、再利用和減少廢棄物來促進資源永續利用的經濟結構。數位創新與循環經濟理念結合,可以建構封閉式系統,提高供應鏈透明度,並最佳化產品生命週期。透過延長產品壽命和再生自然系統,此模式在產生經濟效益的同時,減少了對環境的影響。它還有助於最佳化決策、即時監控和跨行業協作,從而實現強勁的低廢棄物經濟。
對資源最佳化和減少廢棄物的需求日益增加
企業擴大使用數位技術來追蹤資源使用情況並減少廢棄物產生。區塊鏈、物聯網和人工智慧等最尖端科技使即時追蹤和有效的回收程序成為可能。這些發展降低了營運成本和原料消費量。為了實現永續性目標,政府和組織正在鼓勵循環經濟行為。因此,各行各業對數位循環解決方案的需求都在迅速成長。
系統調試和維護的複雜性
整合數位平台通常使用多種技術,導致故障檢測成本高且耗時。不一致的資料流和互通性問題使系統診斷更加困難。追蹤、回收和再製造等循環活動原本順暢無阻,卻因頻繁的技術中斷而受阻。此外,合格專家的短缺也延緩了技術問題的快速解決。這些困難降低了業務效率,並阻礙了企業實施循環數位解決方案。
融合AI、IoT、區塊鏈等前沿技術
人工智慧能夠透過預測分析減少廢棄物並有效最佳化資源。物聯網能夠即時追蹤物品和材料的整個生命週期。在循環價值鏈中,區塊鏈能夠確保資料共用的安全性、可追溯性和透明度。這些技術共同促進了永續的回收、消費和生產模式,使企業能夠提高業務效率,減少環境影響,並推動封閉式經濟。
網路安全和資料隱私問題
對資料外洩的擔憂常常阻礙組織使用數位平台來追蹤和共用資源。由於不安全的數位基礎設施,敏感資料(包括供應鏈資訊和專有設計)可能會外洩。這種風險阻礙了整個價值鏈的協作,並損害了相關人員的信任。遵守眾多國際資料保護條例會增加複雜性和成本。因此,數位流通計劃發展緩慢,可擴充性有限。
COVID-19的影響
由於企業面臨全球供應鏈和資源可得性中斷,新冠疫情顯著加速了數位化循環經濟實踐的採用。封鎖和保持社交距離措施促使企業轉向數位化平台、遠端營運和虛擬市場,鼓勵重複使用、維修和共用模式。各行各業加速採用區塊鏈、人工智慧和物聯網等技術來追蹤原料並最佳化資源效率。這場危機也提高了人們對永續性和韌性的認知,促使政策制定者和組織將循環策略納入長期數位轉型計劃,以實現更強勁、更具適應性的舉措。
預計大型企業板塊在預測期內將佔據最大佔有率
預計大型企業將在預測期內佔據最大的市場佔有率,這得益於其利用先進技術最佳化資源效率並大規模減少廢棄物。這些公司正在大力投資數位平台,用於追蹤、回收和再利用複雜供應鏈中的材料。它們的全球企業發展也推動了多個地區和產業採用循環經濟模式。策略合作與環境、社會和治理 (ESG) 承諾進一步推動創新,並致力於實現循環經濟目標。此外,它們的影響力透過樹立行業標竿並鼓勵中小企業採用永續模式,加速了市場轉型。
預計汽車業在預測期內的複合年成長率最高
受智慧製造和永續設計實踐的推動,汽車產業預計將在預測期內實現最高成長率。汽車製造商擴大使用數位工具來追蹤材料並實現回收和再利用。電動車生產正在透過電池維修和二次利用來促進循環利用。數位平台正在最佳化車輛生命週期管理,減少廢棄物和資源消耗。這種轉變有助於實現永續性目標,同時降低成本並提升品牌價值。
由於採用智慧製造和永續設計實踐,預計亞太地區將在預測期內佔據最大的市場佔有率。汽車製造商擴大使用數位工具來追蹤材料並實現回收和再利用。電動車生產正在透過電池維修和二次利用來促進循環利用。數位平台正在最佳化車輛生命週期管理,減少廢棄物和資源消耗。這種轉變有助於實現永續性目標,同時降低成本並提升品牌價值。
預計北美在預測期內將呈現最高的複合年成長率,這得益於企業永續性承諾、數位創新和成熟的廢棄物管理基礎設施。美國和加拿大在整合人工智慧、物聯網和雲端基礎解決方案以延長產品生命週期和實現閉合迴路系統方面處於領先地位。消費者對環保產品和透明度的需求將進一步推動數位循環策略。雖然監管支持力度不如亞太地區,但自願性ESG舉措和官民合作關係在推動各行各業(尤其是在電子、汽車和零售行業)的循環模式方面發揮著核心作用。
According to Stratistics MRC, the Global Digital Circular Economy Market is accounted for $3.46 billion in 2025 and is expected to reach $17.87 billion by 2032 growing at a CAGR of 26.42% during the forecast period. The term "digital circular economy" describes an economic structure that makes use of digital technologies, including blockchain, IoT, big data, and artificial intelligence, to encourage the sustainable use of resources by facilitating recycling, reuse, and waste reduction. It combines digital innovation and the concepts of the circular economy to enable closed-loop systems, improve supply chain transparency, and optimise product lifecycles. By prolonging product lifespans and renewing natural systems, this paradigm reduces environmental impact while generating economic benefit. In order to create robust, low-waste economies, it also makes it easier to make better decisions, monitor in real time, and collaborate across industries.
Rising demand for resource optimization & waste reduction
Digital technologies are being used by businesses more and more to track resource usage and reduce waste production. Real-time tracking and effective recycling procedures are made possible by cutting-edge technologies like blockchain, IoT, and AI. These developments lower operating expenses and the consumption of raw materials. In order to achieve sustainability goals, governments and organisations are encouraging circular behaviours. The need for digital circular solutions is therefore rising quickly across all industries.
Complexity of system debugging & maintenance
Multiple technologies are frequently used in integrated digital platforms, which make defect detection expensive and time-consuming. System diagnostics are made more difficult by inconsistent data flow and interoperability problems. Tracking, recycling, and remanufacturing are examples of smooth circular activities that are hampered by frequent technical disruptions. Furthermore, a lack of qualified experts postpones the prompt fixing of technological issues. These difficulties make operations less efficient and deter businesses from implementing circular digital solutions.
Integration of advanced technologies like AI, IoT, and blockchain
AI makes predictive analytics for waste reduction and effective resource optimisation possible. Real-time tracking of items and materials throughout their lifecycle is made possible by IoT. In circular value chains, blockchain guarantees safe data sharing, traceability, and transparency. Together, these technologies promote patterns of recycling, consumption, and production that are sustainable. Businesses can thereby improve operational effectiveness, lessen their influence on the environment, and advance a closed-loop economy.
Cybersecurity & data privacy concerns
Concerns about data breaches frequently make organisations hesitant to use digital platforms for resource tracking and sharing. Sensitive data, including supply chain information and proprietary designs, may be exposed due to insecure digital infrastructures. These hazards hinder cooperation throughout value chains and erode stakeholder trust. Adhering to many foreign data protection regulations adds complexity and costs. As a result, digital circular projects are slower to develop and have limited scalability.
Covid-19 Impact
The COVID-19 pandemic significantly accelerated the adoption of digital circular economy practices as businesses faced disruptions in global supply chains and resource availability. Lockdowns and social distancing measures drove a shift toward digital platforms, remote operations, and virtual marketplaces, encouraging reuse, repair, and sharing models. Industries increasingly leveraged technologies such as blockchain, AI, and IoT to track materials and optimize resource efficiency. The crisis also heightened awareness about sustainability and resilience, prompting policymakers and organizations to integrate circular strategies into long-term digital transformation initiatives for more robust, adaptable economies.
The large enterprises segment is expected to be the largest during the forecast period
The large enterprises segment is expected to account for the largest market share during the forecast period by leveraging advanced technologies to optimize resource efficiency and reduce waste at scale. These organizations invest heavily in digital platforms for tracking, recycling, and repurposing materials across complex supply chains. Their global operations encourage the adoption of circular practices in multiple regions and industries. Strategic collaborations and ESG commitments further drive innovation and compliance with circular economy goals. Additionally, their influence accelerates market transformation by setting industry benchmarks and encouraging smaller players to adopt sustainable models.
The automotive segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the automotive segment is predicted to witness the highest growth rate by adopting smart manufacturing and sustainable design practices. Automakers increasingly use digital tools to track materials and enable recycling and reuse. Electric vehicle production encourages circularity through battery refurbishing and second-life applications. Digital platforms optimize vehicle lifecycle management, reducing waste and resource use. This shift supports sustainability goals while lowering costs and enhancing brand value.
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to by adopting smart manufacturing and sustainable design practices. Automakers increasingly use digital tools to track materials and enable recycling and reuse. Electric vehicle production encourages circularity through battery refurbishing and second-life applications. Digital platforms optimize vehicle lifecycle management, reducing waste and resource use. This shift supports sustainability goals while lowering costs and enhancing brand value.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR by corporate sustainability commitments, digital innovation, and mature waste management infrastructures. The United States and Canada are at the forefront of integrating AI, IoT, and cloud-based solutions to extend product lifecycles and enable closed-loop systems. Consumer demand for eco-conscious products and transparency further propels digital circular strategies. While regulatory push is moderate compared to Asia Pacific, voluntary ESG initiatives and public-private partnerships are central to advancing circular models across industries, especially in electronics, automotive, and retail sectors.
Key players in the market
Some of the key players profiled in the Digital Circular Economy Market include SAP, IBM, Microsoft, Google, Oracle, Capgemini, Accenture, Cisco, Siemens Advanta, Software AG, Landbell Group, KPMG, Anthesis Group, Veolia, Rheaply, Recykal, GreenMantra Technologies and CircularIQ.
In May 2025, IBM signed an agreement with DECA Technologies to implement DECA's M Series and Adaptive Patterning semiconductor packaging tech at IBM's advanced packaging facility in Bromont, Quebec-boosting digital packaging innovation within semiconductor supply chains.
In June 2024, SAP acquired WalkMe for approximately $1.5 billion. The DAP enhances user adoption of purpose-built interfaces in complex environments such as circular economy use cases, improving user guidance and engagement in sustainability focused ERP solutions.
In April 2024, SAP extended its partnership with SIRC (PIF subsidiary), deploying SAP S/4HANA, Ariba, SuccessFactors, and Analytics Cloud. Signed an MoU to co build a digital roadmap enhancing environmental reporting, CRM modernization, and sustainability driven services.
In April 2024, IBM agreed to acquire HashiCorp (US $6.4 B), which provides infrastructure lifecycle automation. This supports circular economy digital platforms by enabling scalable infrastructure that adapts dynamically based on lifecycle and usage data.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.