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市場調查報告書
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2120938

循環庫存最佳化市場：預測至 2034 年 - 按最佳化類型、庫存類型、循環策略、部署模式、最終用戶和地區分類的全球分析

Circular Inventory Optimization Market Forecasts to 2034 - Global Analysis By Optimization Type, Inventory Type, Circular Strategy, Deployment, End User, and Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球循環庫存最佳化市場預計將在 2026 年達到 6.5 億美元，並在預測期內以 15.1% 的複合年成長率成長，到 2034 年達到 20 億美元。

循環庫存最佳化是指利用數位化技術最佳化整個正向和逆向供應鏈的庫存水準和物料利用率，並融入再利用、再生、維修、轉售和回收等機會。這些解決方案利用人工智慧、預測分析、需求預測、庫存追蹤和生命週期數據來確定何時應該對物料和產品進行再利用、重新部署、再生或補充。循環庫存最佳化可以減少庫存過剩、物料浪費、倉儲成本和不必要的採購，同時提高資產利用率。循環供應鏈的日益普及和對資源效率的日益重視正在推動全球對循環庫存最佳化解決方案的需求。

為減少庫存浪費而加大力度

循環庫存最佳化平台幫助企業減少庫存積壓、促進再利用並延長庫存使用壽命。企業越來越傾向於將過剩庫存重新用於其他用途，而不是丟棄可用的產品。數位化庫存管理工具可以識別適合再利用、回收、轉售或重新分配的物品。這些方法可以提高材料利用率，同時降低倉儲成本。對循環經濟日益成長的承諾也促使企業將減少廢棄物納入庫存規劃。這些因素正在推動循環庫存最佳化解決方案的廣泛應用。

複雜的逆向庫存管理

企業在決定下一步用途之前，通常需要追蹤物料在多個地點間的流轉情況。此外，產品狀況的差異會使庫存價值的準確計算變得困難。人工檢驗和分類會導致處理時間和營運成本的增加。庫存系統分散的企業在協調正向和逆向物流方面可能面臨更多挑戰。二級庫存管道的可見性不足也會進一步降低最佳化效率。這些複雜因素都可能延緩循環庫存管理系統的實施。

人工智慧驅動的可重複使用庫存預測

人工智慧 (AI) 可以分析歷史庫存模式、產品狀態、退貨率和需求訊號，從而識別潛在的再利用機會。透過利用預測模型，企業可以確定何時過剩庫存可以用於其他用途。 AI 還可以根據預測需求和庫存可用性，提案在不同設施之間重新分配資源。自動化預測可以減少不必要的浪費，並提高回收材料的利用率。與採購和倉庫管理系統整合可以進一步增強決策能力。這些功能有望推動對智慧循環庫存最佳化解決方案的需求。

再生材料需求的波動

對再生零件和材料的需求會隨產品價格、生產活動和消費者需求而波動。當次市場低迷時，企業可能面臨再生庫存倉儲成本增加的問題。此外，轉售價格的不確定性也會使企業難以確定最盈利的回收策略。因此，當下游需求難以預測時，企業可能會猶豫是否要大力投資回收系統。加強數位化市場並提高需求預測的準確性有助於降低部分風險。然而，市場波動仍是循環庫存計畫面臨的一大威脅。

新型冠狀病毒（COVID-19）的影響：

新冠疫情擾亂了庫存計劃，並為全球供應鏈帶來了巨大的不確定性。消費者需求的變化導致部分產品短缺，而其他庫存則未能充分利用。為了因應供應鏈中斷，企業尋求提高對過剩庫存、退貨和滯銷庫存的可見性。同時，企業也越來越重視能夠減少需求波動時期廢棄物的彈性庫存策略。隨著各組織嘗試遠端協調分散的倉庫和供應商，數位化庫存管理工具的重要性日益凸顯。在復甦階段，企業被要求進一步加強供應鏈的韌性和資源利用效率。

在預測期內，需求預測部分預計將佔據最大的市場佔有率。

預計在預測期內，需求預測領域將佔據最大的市場佔有率。這是因為準確的需求預測有助於企業避免庫存過剩和過時。透過利用預測工具，企業可以調整採購和生產，以匹配預期的消費量。提高需求預測的準確性可以減少不必要的庫存積壓和相關的倉儲成本。這些平台還可以識別在產品過時之前重新分配庫存的機會。與銷售、採購和倉庫資料的整合提高了庫存計劃的準確性。日益成長的減少物料浪費的壓力進一步凸顯了預測性庫存管理的重要性。

預計在預測期內，回收材料細分市場將呈現最高的複合年成長率。

在預測期內，受企業不斷努力從剩餘和舊庫存中挖掘價值的推動，回收材料領域預計將呈現最高的成長率。企業正在探索替代廢棄物的方案，以便將可重複利用或加工的材料重新利用。數位化平台可幫助企業識別回收材料，並將其與潛在的內部和外部需求連結起來。原料成本的上漲也促使企業最大限度地利用現有資源。分類、分級和材料追蹤技術的改進提高了回收流程的效率。循環經濟策略進一步鼓勵企業將回收材料融入其生產週期。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於企業積極採用新技術以及對循環供應鏈實踐的投入增加。美國是領先的市場，這得益於其先進的倉儲管理系統和成熟的二級庫存管道。加拿大也日益重視資源效率和永續供應鏈管理。主要零售商、製造商和物流公司正在投資數位化工具，以減少過剩和過時的庫存。該地區成熟的技術生態系統正在推動庫存最佳化、採購和逆向物流平台之間的整合。

複合年成長率最高的地區：

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擴張以及對資源高效型供應鏈日益成長的重視。中國正在加強循環製造實踐，並在各工業領域推廣數位化庫存管理。在印度，製造商和零售商正積極採用供應鏈技術，力求減少庫存損失。日本繼續在其整個生產網路中優先考慮精益庫存管理和高效的資源利用。韓國也正在投資先進的數位化供應鏈技術和自動化庫存管理系統。隨著電子商務活動的活性化，庫存過剩、退貨和可重複利用的庫存也進一步增加。

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目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球循環庫存最佳化市場：依最佳化類型分類

  • 需求預測
  • 最佳化安全庫存
  • 庫存再平衡
  • 最佳化過剩庫存
  • 備件最佳化
  • 其他最佳化類型

第6章：全球循環庫存最佳化市場：依庫存類型分類

  • 原料
  • 正在進行中
  • 成品
  • 備用零件
  • 回收材料
  • 其他股票類型

第7章：全球循環庫存最佳化市場：依循環策略分類

  • 再利用計劃
  • 重建計劃
  • 再製造計劃
  • 恢復計劃
  • 重新分配計劃
  • 其他循環策略

第8章：全球循環庫存最佳化市場：依實施類型分類

  • 基於雲端的
  • 現場

第9章：全球循環庫存最佳化市場：依最終用戶分類

  • 製造商
  • 零售
  • 銷售代理
  • 物流運營商
  • 售後服務提供者
  • 回收公司
  • 其他最終用戶

第10章：全球循環庫存最佳化市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • SAP SE
  • Oracle Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Blue Yonder Group, Inc.
  • Kinaxis Inc.
  • Manhattan Associates, Inc.
  • E2open Parent Holdings, Inc.
  • ToolsGroup
  • Anaplan, Inc.
  • RELEX Solutions
  • Luminate Worldwide, Inc.
  • Flowlity
  • Inventory Planner
  • Netstock
Product Code: SMRC39139

According to Stratistics MRC, the Global Circular Inventory Optimization Market is accounted for $0.65 billion in 2026 and is expected to reach $2.00 billion by 2034 growing at a CAGR of 15.1% during the forecast period. Circular inventory optimization refers to digital technologies that optimize inventory levels and material utilization across forward and reverse supply chains while incorporating reuse, refurbishment, repair, resale, and recycling opportunities. These solutions use artificial intelligence, predictive analytics, demand forecasting, inventory tracking, and lifecycle data to determine when materials and products should be reused, redeployed, refurbished, or replenished. Circular inventory optimization reduces excess inventory, material waste, storage costs, and unnecessary procurement while improving asset utilization. Growing adoption of circular supply chains and increasing focus on resource efficiency are driving the global demand for circular inventory optimization solutions.

Market Dynamics:

Driver:

Rising inventory waste reduction initiatives

Circular inventory optimization platforms help organizations reduce excess stock, improve reuse, and extend the productive life of inventory. Businesses are increasingly looking for ways to redirect excess inventory instead of sending usable products to disposal. Digital inventory tools can identify items suitable for reuse, refurbishment, resale, or redistribution. These approaches can reduce storage costs while improving material utilization. Growing circular economy commitments are also encouraging companies to integrate waste reduction into inventory planning. These factors are supporting wider adoption of circular inventory optimization solutions.

Restraint:

Complex reverse inventory management

Companies often need to track materials across multiple locations before determining their next use. Inconsistent product conditions can also make it difficult to establish accurate inventory values. Manual inspection and classification may increase processing time and operational costs. Organizations with fragmented inventory systems can face additional challenges when connecting forward and reverse flows. Limited visibility across secondary inventory channels can further reduce optimization efficiency. These complexities may slow the implementation of circular inventory management systems.

Opportunity:

AI-powered reuse inventory forecasting

Artificial intelligence can analyze historical inventory patterns, product conditions, return rates, and demand signals to identify potential reuse opportunities. Predictive models can help businesses determine when surplus inventory is likely to become valuable in another application. AI can also recommend redistribution between facilities based on expected demand and inventory availability. Automated forecasting may reduce unnecessary disposal and improve utilization of recovered materials. Integration with procurement and warehouse management systems can further strengthen decision-making. These capabilities are expected to increase demand for intelligent circular inventory optimization solutions.

Threat:

Fluctuating secondary material demand

Demand for recovered components and materials can change according to commodity prices, manufacturing activity, and consumer demand. When secondary markets weaken, companies may face higher storage costs for recovered inventory. Uncertain resale values can also make it difficult to determine the most profitable recovery strategy. Businesses may therefore hesitate to invest heavily in recovery systems when downstream demand is unpredictable. Stronger digital marketplaces and demand forecasting can help reduce some of these risks. However, market volatility remains an important threat to circular inventory programs.

Covid-19 Impact:

The COVID-19 pandemic disrupted inventory planning and created significant uncertainty across global supply chains. Changes in consumer demand caused shortages of some products while leaving other inventories underutilized. Supply chain disruptions encouraged companies to improve visibility into excess, returned, and slow-moving inventory. Businesses also became more interested in flexible inventory strategies that could reduce waste during periods of demand volatility. Digital inventory management tools gained importance as organizations sought to coordinate distributed warehouses and suppliers remotely. The recovery period further encouraged companies to strengthen supply chain resilience and resource efficiency.

The demand forecasting segment is expected to be the largest during the forecast period

The demand forecasting segment is expected to account for the largest market share during the forecast period as accurate demand visibility helps organizations prevent excess and obsolete inventory. Forecasting tools allow businesses to align procurement and production with expected consumption. Better demand estimates can reduce unnecessary stock accumulation and associated storage costs. These platforms can also identify opportunities to redistribute inventory before products become obsolete. Integration with sales, procurement, and warehouse data improves the accuracy of inventory planning. Growing pressure to reduce material waste is further strengthening the importance of predictive inventory management.

The recovered materials segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the recovered materials segment is predicted to witness the highest growth rate due to increasing efforts to extract value from surplus and end-of-use inventory. Companies are seeking alternatives to disposing of materials that can still be reused or processed. Digital platforms can help organizations identify recovered materials and match them with potential internal or external demand. Rising raw material costs are also encouraging businesses to maximize the value of existing resources. Improvements in sorting, grading, and material tracking technologies are making recovery processes more efficient. Circular economy strategies are further encouraging companies to incorporate recovered materials into production cycles.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to strong enterprise technology adoption and growing investment in circular supply chain practices. The United States represents the leading market, supported by advanced warehouse management systems and established secondary inventory channels. Canada is also increasing its focus on resource efficiency and sustainable supply chain management. Large retailers, manufacturers, and logistics companies are investing in digital tools to reduce surplus and obsolete inventory. The region's mature technology ecosystem supports integration between inventory optimization, procurement, and reverse logistics platforms.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by rapid manufacturing expansion and increasing focus on resource-efficient supply chains. China is strengthening circular manufacturing practices while expanding digital inventory management across industrial sectors. India is witnessing growing adoption of supply chain technologies as manufacturers and retailers seek to reduce inventory losses. Japan continues to emphasize lean inventory management and efficient resource utilization across production networks. South Korea is also investing in advanced digital supply chain technologies and automated inventory systems. Rising e-commerce activity is generating additional volumes of surplus, returned, and reusable inventory.

Key players in the market

Some of the key players in Circular Inventory Optimization Market include SAP SE, Oracle Corporation, IBM Corporation, Microsoft Corporation, Blue Yonder Group, Inc., Kinaxis Inc., Manhattan Associates, Inc., E2open Parent Holdings, Inc., ToolsGroup, Anaplan, Inc., RELEX Solutions, Luminate Worldwide, Inc., Flowlity, Inventory Planner and Netstock.

Key Developments:

In May 2026, Microsoft Corporation launched circular supply chain features within Dynamics 365 Supply Chain Management, embedding automated return-stream routing and sustainable stock optimization. The cloud-native update leverages Azure AI to evaluate the economic and carbon impact of restocking versus recycling inventory. This expansion supports enterprise zero-waste goals by preventing premature product write-offs.

In March 2026, SAP SE integrated advanced circular inventory analytics into its SAP Integrated Business Planning (IBP) suite to help enterprises reduce raw material waste and track re-usable stock assets. The software updates deliver real-time visibility into reverse logistics, enabling closed-loop material flows and remanufacturing operations. This launch aligns with global corporate compliance frameworks for sustainable supply chain management.

In January 2026, Oracle Corporation upgraded Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) with specialized circular inventory optimization tools. The enhancement features dynamic lifecycle forecasting and reverse inventory tracking algorithms that manage returned, refurbished, and recycled goods across multi-echelon networks.

Optimization Types Covered:

  • Demand Forecasting
  • Safety Stock Optimization
  • Inventory Rebalancing
  • Excess Inventory Optimization
  • Spare Parts Optimization
  • Other Optimization Types

Inventory Types Covered:

  • Raw Materials
  • Work-in-Process
  • Finished Goods
  • Spare Parts
  • Recovered Materials
  • Other Inventory Types

Circular Strategies Covered:

  • Reuse Planning
  • Refurbishment Planning
  • Remanufacturing Planning
  • Recovery Planning
  • Redistribution Planning
  • Other Circular Strategies

Deployments Covered:

  • Cloud-Based
  • On-Premise

End Users Covered:

  • Manufacturers
  • Retailers
  • Distributors
  • Logistics Providers
  • Aftermarket Service Providers
  • Recycling Companies
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Circular Inventory Optimization Market, By Optimization Type

  • 5.1 Demand Forecasting
  • 5.2 Safety Stock Optimization
  • 5.3 Inventory Rebalancing
  • 5.4 Excess Inventory Optimization
  • 5.5 Spare Parts Optimization
  • 5.6 Other Optimization Types

6 Global Circular Inventory Optimization Market, By Inventory Type

  • 6.1 Raw Materials
  • 6.2 Work-in-Process
  • 6.3 Finished Goods
  • 6.4 Spare Parts
  • 6.5 Recovered Materials
  • 6.6 Other Inventory Types

7 Global Circular Inventory Optimization Market, By Circular Strategy

  • 7.1 Reuse Planning
  • 7.2 Refurbishment Planning
  • 7.3 Remanufacturing Planning
  • 7.4 Recovery Planning
  • 7.5 Redistribution Planning
  • 7.6 Other Circular Strategies

8 Global Circular Inventory Optimization Market, By Deployment

  • 8.1 Cloud-Based
  • 8.2 On-Premise

9 Global Circular Inventory Optimization Market, By End User

  • 9.1 Manufacturers
  • 9.2 Retailers
  • 9.3 Distributors
  • 9.4 Logistics Providers
  • 9.5 Aftermarket Service Providers
  • 9.6 Recycling Companies
  • 9.7 Other End Users

10 Global Circular Inventory Optimization Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 SAP SE
  • 13.2 Oracle Corporation
  • 13.3 IBM Corporation
  • 13.4 Microsoft Corporation
  • 13.5 Blue Yonder Group, Inc.
  • 13.6 Kinaxis Inc.
  • 13.7 Manhattan Associates, Inc.
  • 13.8 E2open Parent Holdings, Inc.
  • 13.9 ToolsGroup
  • 13.10 Anaplan, Inc.
  • 13.11 RELEX Solutions
  • 13.12 Luminate Worldwide, Inc.
  • 13.13 Flowlity
  • 13.14 Inventory Planner
  • 13.15 Netstock

List of Tables

  • Table 1 Global Circular Inventory Optimization Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Circular Inventory Optimization Market, By Optimization Type (2023-2034) ($MN)
  • Table 3 Global Circular Inventory Optimization Market, By Demand Forecasting (2023-2034) ($MN)
  • Table 4 Global Circular Inventory Optimization Market, By Safety Stock Optimization (2023-2034) ($MN)
  • Table 5 Global Circular Inventory Optimization Market, By Inventory Rebalancing (2023-2034) ($MN)
  • Table 6 Global Circular Inventory Optimization Market, By Excess Inventory Optimization (2023-2034) ($MN)
  • Table 7 Global Circular Inventory Optimization Market, By Spare Parts Optimization (2023-2034) ($MN)
  • Table 8 Global Circular Inventory Optimization Market, By Other Optimization Types (2023-2034) ($MN)
  • Table 9 Global Circular Inventory Optimization Market, By Inventory Type (2023-2034) ($MN)
  • Table 10 Global Circular Inventory Optimization Market, By Raw Materials (2023-2034) ($MN)
  • Table 11 Global Circular Inventory Optimization Market, By Work-in-Process (2023-2034) ($MN)
  • Table 12 Global Circular Inventory Optimization Market, By Finished Goods (2023-2034) ($MN)
  • Table 13 Global Circular Inventory Optimization Market, By Spare Parts (2023-2034) ($MN)
  • Table 14 Global Circular Inventory Optimization Market, By Recovered Materials (2023-2034) ($MN)
  • Table 15 Global Circular Inventory Optimization Market, By Other Inventory Types (2023-2034) ($MN)
  • Table 16 Global Circular Inventory Optimization Market, By Circular Strategy (2023-2034) ($MN)
  • Table 17 Global Circular Inventory Optimization Market, By Reuse Planning (2023-2034) ($MN)
  • Table 18 Global Circular Inventory Optimization Market, By Refurbishment Planning (2023-2034) ($MN)
  • Table 19 Global Circular Inventory Optimization Market, By Remanufacturing Planning (2023-2034) ($MN)
  • Table 20 Global Circular Inventory Optimization Market, By Recovery Planning (2023-2034) ($MN)
  • Table 21 Global Circular Inventory Optimization Market, By Redistribution Planning (2023-2034) ($MN)
  • Table 22 Global Circular Inventory Optimization Market, By Other Circular Strategies (2023-2034) ($MN)
  • Table 23 Global Circular Inventory Optimization Market, By Deployment (2023-2034) ($MN)
  • Table 24 Global Circular Inventory Optimization Market, By Cloud-Based (2023-2034) ($MN)
  • Table 25 Global Circular Inventory Optimization Market, By On-Premise (2023-2034) ($MN)
  • Table 26 Global Circular Inventory Optimization Market, By End User (2023-2034) ($MN)
  • Table 27 Global Circular Inventory Optimization Market, By Manufacturers (2023-2034) ($MN)
  • Table 28 Global Circular Inventory Optimization Market, By Retailers (2023-2034) ($MN)
  • Table 29 Global Circular Inventory Optimization Market, By Distributors (2023-2034) ($MN)
  • Table 30 Global Circular Inventory Optimization Market, By Logistics Providers (2023-2034) ($MN)
  • Table 31 Global Circular Inventory Optimization Market, By Aftermarket Service Providers (2023-2034) ($MN)
  • Table 32 Global Circular Inventory Optimization Market, By Recycling Companies (2023-2034) ($MN)
  • Table 33 Global Circular Inventory Optimization Market, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.