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市場調查報告書
商品編碼
2075003
數位循環管理市場預測至2034年—按解決方案、部署模式、技術、應用、最終用戶和地區分類的全球分析Digital Circularity Management Market Forecasts to 2034 - Global Analysis By Solution, Deployment, Technology, Application, End User and By Geography |
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根據 Stratistics MRC 的數據,預計到 2026 年,全球數位循環管理市場規模將達到 12 億美元,並在預測期內以 10.6% 的複合年成長率成長,到 2034 年將達到 27 億美元。
數位化循環管理平台是指一個整合的軟體系統,它收集、整理並共用整個價值鏈中的產品和材料信息,以支援再利用、維修和回收。這些平台整合了數位化產品護照、追溯工具、生命週期評估 (LCA) 模組和報告介面,並利用來自製造、物流和報廢處理的數據。它們利用雲端基礎設施、應用程式介面 (API) 和標準化資料模式,將製造商、供應商、回收商和監管機構連接到一個統一的資訊環境中,從而實現對原料、組件和產品從源頭到多個使用週期的持續追蹤。
強制性生產者延伸責任
主要經濟體的監管機構正在加強生產者延伸責任制(EPR)框架,要求製造商記錄在其管轄範圍內銷售的產品的材料成分、可回收性和使用後處置途徑。如今,企業必須在採購、生產和處置的各個階段維護可審計的數位化記錄。這些監管壓力迫使企業部署集中式平台,以匯總供應商數據、產生合規報告並展示其在實現循環經濟目標方面取得的進展,從而導致全球製造業、零售業和包裝業對數位化循環經濟管理軟體的需求持續成長。
數據標準碎片化
供應商、地區和產業之間缺乏標準化的資料格式和標籤規範,使得建構統一的循環經濟記錄變得複雜。許多製造商仍然依賴電子表格、紙本文件或專有的企業系統,這些系統難以與現代平台整合。整合舊式資料來源需要進行大規模的資料清理和映射,才能實現有效的可追溯性。這種資料碎片化增加了實施時間和成本,阻礙了中小供應商的充分參與,並限制了平台營運商及其企業客戶可取得的循環經濟資料的完整性。
人工智慧驅動的材料回收洞察
透過利用人工智慧 (AI) 和機器學習演算法,可以分析歷史產品資料、使用模式和物料流,從而預測最佳回收路徑並提案設計改進建議,以提高產品的可回收性。供應商正在將這些功能整合到現有平台中,使品牌能夠在決定對其生產系統進行更改之前模擬循環利用場景。隨著計算成本的下降和演算法的日益成熟,預測分析正逐漸成為一項標準服務,這為平台提供者創造了機會,使其能夠透過為永續發展和設計團隊量身定做的高級模組來設定溢價。
網路安全與資料隱私風險
將詳細的產品、供應商和材料資料集中儲存在雲端平台上會增加遭受網路攻擊和未授權存取的風險。競爭對手和惡意攻擊者可能會利用漏洞來取得嵌入在循環經濟記錄中的專有配方細節、供應商關係和定價資訊。涉及永續發展平台的高調資料外洩事件會削弱公司對外共用敏感資料的信心,這可能會延緩那些擁有嚴格智慧財產權保護政策的公司採用雲端平台,並迫使它們在加密、存取控制和合規認證方面進行大量投資。
疫情初期擾亂了供應鏈,由於製造商優先考慮業務永續營運而非永續發展舉措,數位循環經濟試驗計畫被迫延長。疫情期間,遠距辦公的興起推動了雲端軟體的廣泛應用,這間接惠及了循環經濟平台供應商。疫情後,人們對供應鏈脆弱性和資源短缺的認知不斷提高,加強了企業的永續發展工作,同時,除了環境合規之外,企業對韌性的需求也日益成長,這促使企業活性化對可追溯性和循環經濟軟體的投資。
在預測期內,數位產品護照細分市場預計將佔據最大的市場佔有率。
預計在預測期內,數位產品護照細分市場將佔據最大的市場佔有率,這主要得益於歐盟及其他司法管轄區強制要求產品級資料記錄標準化的法規。品牌商將數位產品護照視為支援合規報告、消費者透明度和下游回收協調的基礎架構。其在時尚、電子和包裝行業的廣泛適用性,以及強制性的實施計劃,將持續吸引投資,使該細分市場成為重要的收入來源。
預計人工智慧和機器學習領域在預測期內將呈現最高的複合年成長率。
在預測期內,人工智慧和機器學習領域預計將呈現最高的成長率,這主要得益於對預測分析的需求不斷成長,以最佳化材料回收和設計決策。供應商正在將機器學習模型整合到可追溯性平台中,用於預測產品生命週期、偵測供應鏈異常並提案循環設計方案。隨著演算法的改進和整個行業訓練資料量的不斷增加,該技術的應用正在迅速加速,預計該技術領域將成為所有平台組件中成長最快的領域。
在預測期內,北美預計將佔據最大的市場佔有率,這主要得益於企業對永續發展軟體的早期採用以及企業技術供應商的強大影響力。美國在該地區處於領先地位,時尚、電子和消費品行業的領先品牌正在監管實施之前試點可追溯性平台。加拿大則透過政府支持的循環經濟舉措做出貢獻。 SAP SE、IBM Corporation 和 Microsoft Corporation 等公司均設有大規模區域辦事處,以支援平台實施和整合服務。
在預測期內,亞太地區預計將呈現最高的複合年成長率,這主要得益於製造業的快速數字化以及中國、日本和韓國等國生產者延伸責任制(EPR)法規的推行。政府推行的循環製造中心計畫正鼓勵本地供應商採用可追溯性軟體以符合出口合規要求。消費者意識的提高以及電子和紡織品製造地的擴張顯著提振了需求,同時,區域技術提供商也在不斷拓展其面向中小製造商的客製化化、經濟實惠的平台產品。
According to Stratistics MRC, the Global Digital Circularity Management Market is accounted for $1.2 billion in 2026 and is expected to reach $2.7 billion by 2034 growing at a CAGR of 10.6% during the forecast period. Digital circularity management platforms refer to integrated software systems that capture, organize, and share product and material information across a value chain to support reuse, repair, and recycling. These platforms combine digital product passports, traceability tools, lifecycle assessment modules, and reporting interfaces, drawing on data from manufacturing, logistics, and end-of-life processing. They use cloud infrastructure, application programming interfaces, and standardized data schemas to connect manufacturers, suppliers, recyclers, and regulators within a unified information environment, enabling consistent tracking of materials, components, and products from origin through multiple use cycles.
Extended producer responsibility mandates
Regulators across major economies are tightening extended producer responsibility frameworks, requiring manufacturers to document material composition, recyclability, and end-of-life pathways for products sold within their jurisdictions. Companies must now maintain auditable digital records covering sourcing, production, and disposal stages. This regulatory pressure compels organizations to adopt centralized platforms capable of aggregating supplier data, generating compliance reports, and demonstrating progress toward circularity targets, thereby creating durable demand for digital circularity management software across manufacturing, retail, and packaging sectors worldwide.
Fragmented data standards
Inconsistent data formats and labeling conventions across suppliers, regions, and industries complicate efforts to build unified circularity records. Many manufacturers still rely on spreadsheets, paper documentation, or proprietary enterprise systems that do not interoperate easily with modern platforms. Integrating legacy data sources requires extensive cleansing and mapping work before meaningful traceability becomes possible. This fragmentation increases implementation timelines and costs, discouraging smaller suppliers from participating fully and limiting the completeness of circularity data available to platform operators and their corporate customers.
AI-driven material recovery insights
Artificial intelligence and machine learning algorithms can analyze historical product data, usage patterns, and material flows to predict optimal recovery pathways and recommend design changes that improve recyclability. Vendors are embedding these capabilities into existing platforms, allowing brands to simulate circular scenarios before committing to production changes. As computing costs decline and algorithms mature, predictive analytics features are becoming standard offerings, opening opportunities for platform providers to capture premium pricing through advanced modules tailored to sustainability and design teams.
Cybersecurity and data privacy risks
Centralizing detailed product, supplier, and material data within cloud platforms increases exposure to cyberattacks and unauthorized access. Competitors or malicious actors could exploit vulnerabilities to obtain proprietary formulation details, supplier relationships, or pricing information embedded within circularity records. High-profile breaches involving sustainability platforms could undermine corporate confidence in sharing sensitive data externally, slowing adoption among companies with strict intellectual property protection policies and prompting costly investments in encryption, access controls, and compliance certifications.
The pandemic initially disrupted supply chains, delaying digital circularity pilot programs as manufacturers prioritized operational continuity over sustainability initiatives. Mid-pandemic, remote work accelerated cloud software adoption broadly, indirectly benefiting circularity platform vendors. Post-pandemic, heightened awareness of supply chain vulnerabilities and resource scarcity reinforced corporate sustainability commitments, driving renewed investment in traceability and circularity software as companies sought resilience alongside environmental compliance.
The digital product passports segment is expected to be the largest during the forecast period
The digital product passports segment is expected to account for the largest market share during the forecast period, due to regulatory mandates requiring standardized product-level data records across the European Union and other jurisdictions. Brands view digital product passports as foundational infrastructure that supports compliance reporting, consumer transparency, and downstream recycling coordination. Their broad applicability across fashion, electronics, and packaging industries, combined with mandatory implementation timelines, sustains continued investment and positions this segment as the dominant revenue contributor.
The AI and machine learning segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the AI and machine learning segment is predicted to witness the highest growth rate, driven by increasing demand for predictive analytics that optimize material recovery and design decisions. Vendors are embedding machine learning models into traceability platforms to forecast product lifespans, detect anomalies in supply chains, and recommend circular design alternatives. As algorithms improve and training data volumes expand across industries, adoption accelerates rapidly, positioning this technology segment for the fastest expansion among all platform components.
During the forecast period, the North America region is expected to hold the largest market share, due to early corporate adoption of sustainability software and strong presence of enterprise technology vendors. The United States leads with major brands in fashion, electronics, and consumer goods piloting traceability platforms ahead of anticipated regulation. Canada contributes through government-backed circular economy initiatives. Companies including SAP SE, IBM Corporation, and Microsoft Corporation maintain substantial regional operations supporting platform deployment and integration services.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid manufacturing sector digitization and emerging extended producer responsibility regulations across China, Japan, and South Korea. Government programs promoting circular manufacturing hubs encourage local suppliers to adopt traceability software for export compliance. Rising consumer awareness and growing electronics and textile manufacturing bases create substantial demand catalysts, while regional technology providers expand affordable platform offerings tailored to small and medium manufacturers.
Key players in the market
Some of the key players in Digital Circularity Management Market include SAP SE, IBM Corporation, Microsoft Corporation, Accenture plc, Schneider Electric SE, Circularise B.V., Rheaply, Inc., Dassault Systemes SE, Oracle Corporation, Landbell Group, Anthesis Group, iPoint-systems gmbh, One Click LCA Ltd., TUV SUD AG, Suez S.A., numi. circular and Treeni Sustainability Solutions.
In June 2026, iPoint-systems gmbh introduced an enhanced compliance reporting platform integrating regulatory databases from multiple regions, helping manufacturers automate extended producer responsibility filings and reduce administrative burden.
In May 2026, Circularise B.V. launched an updated material traceability module enabling automated digital product passport generation for textile and electronics manufacturers across European supply chains, supporting upcoming regulatory deadlines.
In April 2026, SAP SE expanded its sustainability cloud suite with new lifecycle assessment tools, allowing enterprise customers to model circular design scenarios and track recycled content across global manufacturing operations.
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.