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市場調查報告書
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2112946

永續供應鏈分析市場預測至2034年－全球分析（依分析類型、供應鏈階段、資料來源、決策支援功能、最終使用者和地區分類）

Sustainable Supply Chain Analytics Market Forecasts to 2034 - Global Analysis By Analytics Type, Supply Chain Stage, Data Source, Decision Support Function, 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，全球永續供應鏈分析市場預計將在 2026 年達到 48 億美元，並在預測期內以 19.4% 的複合年成長率成長，到 2034 年達到 198 億美元。

永續供應鏈分析是指利用先進的分析平台來監測、評估和最佳化供應鏈營運的環境、社會和經濟績效。這些解決方案整合了人工智慧、巨量資料分析、物聯網、生命週期評估、ESG指標和供應商情報，旨在提高資源效率、減少排放、識別永續性風險並增強供應鏈透明度。永續供應鏈分析支援負責任的採購、合規性、韌性規劃和企業永續發展措施。對道德採購和低碳供應鏈日益成長的關注正在推動全球市場的成長。

加大力度提高供應鏈透明度

永續供應鏈分析使企業能夠衡量其整個供應鏈網路中的環境、社會和營運績效。企業正在尋求更清楚地了解其採購、製造、運輸和供應商活動。隨著ESG（環境、社會和治理）計劃的擴展，企業被敦促更密切地監控其永續發展績效。數位化分析平台有助於識別風險並提高整個供應鏈的營運效率。企業也正在利用這些解決方案來加強供應商課責並滿足客戶期望。

多層供應商資料的複雜性

全球供應鏈包含多個供應商層級，這使得持續監控面臨挑戰。許多供應商採用不同的報告系統和永續性指標。從較低層級的供應商收集準確資訊通常需要耗費大量時間和資源。數據不完整會降低永續性分析和報告的有效性。此外，企業在整合來自地理位置分散的供應商的資訊方面也面臨挑戰。這些問題使得永續供應鏈分析平台的實施更加複雜。

利用人工智慧洞察供應商永續性

人工智慧 (AI) 能夠在短時間內處理大量供應商資料。 AI 幫助企業更有效率地識別永續性風險、供應商績效差距和合規性問題。預測分析也有助於選擇更優質的供應商並制定長期採購計劃。透過智慧風險監控，企業可以更快地應對營運中斷。 AI 的持續發展正使供應鏈分析更加主動和數據驅動，從而進一步推動對 AI 驅動的永續發展平台的投資。

與供應商數據可靠性相關的挑戰

準確的永續發展報告依賴所有供應商提供的可靠資訊。一些供應商仍然依賴人工報告流程，這增加了數據錯誤的風險。資訊不一致會影響ESG報告和業務決策的準確性。此外，檢驗整個國際供應鏈的永續發展數據需要額外的資源。企業正在投資數位化檢驗技術以提高報告品質。儘管如此，數據可靠性仍然影響著客戶的信任。

新型冠狀病毒（COVID-19）的影響：

新冠疫情凸顯了韌性和透明度高的供應鏈的重要性。疫情造成的業務中斷暴露了企業對供應商營運狀況的了解不足。許多公司加快了數位化分析的投資，以改善供應鏈監控和風險管理。隨著企業重新評估籌資策略，永續性也變得更加重要。疫情期間，基於雲端的分析平台為遠端協作和業務連續性提供了支援。企業將繼續利用這些數位化能力來增強供應鏈的長期韌性。

在預測期內，碳排放分析細分市場預計將佔據最大的市場佔有率。

隨著企業越來越重視衡量其供應鏈中的碳排放，預計在預測期內，碳排放分析領域將佔據最大的市場佔有率。這些平台幫助企業計算其生產、運輸、倉儲和採購活動中的碳排放量。企業正在利用碳排放分析來滿足環境、社會和治理 (ESG) 資訊揭露和氣候變遷報告的要求。這些解決方案還能識別排放集中點，並提案改善建議。隨著企業持續推動淨零排放策略，對碳排放測量技術的投資也增加。監管機構對溫室氣體報告的持續審查進一步推動了該領域的成長。

在預測期內，逆向物流產業預計將錄得最高的複合年成長率。

在預測期內，由於對產品召回和循環供應鏈的日益重視，逆向物流領域預計將呈現最高的成長率。各組織正致力於改善退貨產品管理、回收營運、再生利用和材料回收。分析平台能夠增強逆向物流活動和資源利用的透明度。企業也致力於在提高營運效率的同時減少廢棄物。對循環經濟的日益重視也推動了對逆向物流技術的投資。預計這些趨勢將加速該領域對分析解決方案的需求。

市佔率最大的地區：

在預測期內，全面的ESG合規要求預計將推動歐洲地區佔據最大的市場佔有率。德國憑藉其先進製造業和數位化供應鏈管理舉措，引領著這一領域的應用。法國持續擴大工業和消費品產業的永續發展報告範圍。瑞典透過強而有力的永續發展政策，推動透明和低碳供應鏈的發展，而英國則加大了對供應鏈風險管理和ESG分析的投資。高水準的監管合規性和成熟的永續發展實踐將繼續鞏固該地區的市場地位。預計歐洲將繼續保持主導在永續供應鏈分析領域的領先地位。

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，這主要得益於數位化供應鏈轉型的快速發展。在中國，先進的分析技術正被應用於提升製造效率和供應商透明度。在印度，環境、社會和治理（ESG）報告和數位化採購正在迅速發展，尤其是在大型企業中。在日本，人工智慧正融入供應鏈最佳化；在新加坡，人們正致力於加強永續物流和智慧貿易基礎設施建設。工業化的進步以及企業對永續發展日益成長的承諾，正在加速該地區數位轉型的普及應用。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，我們可以提供主要國家的市場估算、預測和複合年成長率計算（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

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：全球永續供應鏈分析市場：依分析類型分類

  • 碳排放分析
  • 供應商永續性分析
  • 資源消耗分析
  • 風險與合規分析
  • 其他分析類型

第6章：全球永續供應鏈分析市場：依供應鏈階段分類

  • 採購
  • 生產
  • 物流/配送
  • 逆向物流
  • 其他供應鏈階段

第7章：全球永續供應鏈分析市場：依資料來源分類

  • 企業系統
  • 物聯網設備
  • 供應商數據
  • 第三方永續性數據
  • 其他數據來源

第8章：全球永續供應鏈分析市場：依決策支援功能分類

  • 供應商評估
  • 風險優先排序
  • 減排計劃
  • 性能基準測試
  • 其他決策支援功能

第9章：全球永續供應鏈分析市場：依最終用戶分類

  • 製造公司
  • 零售和電子商務企業
  • 物流服務供應商
  • 消費品公司
  • 其他最終用戶

第10章：全球永續供應鏈分析市場：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
  • Kinaxis Inc.
  • Coupa Software Inc.
  • E2open Parent Holdings, Inc.
  • project44, Inc.
  • FourKites, Inc.
  • Sphera Solutions, Inc.
  • EcoVadis SAS
  • Blue Yonder Group, Inc.
  • o9 Solutions, Inc.
  • Infor Inc.
  • Descartes Systems Group Inc.
  • GainSystems, Inc.
Product Code: SMRC39004

According to Stratistics MRC, the Global Sustainable Supply Chain Analytics Market is accounted for $4.8 billion in 2026 and is expected to reach $19.8 billion by 2034 growing at a CAGR of 19.4% during the forecast period. Sustainable supply chain analytics refers to advanced analytical platforms that monitor, evaluate, and optimize the environmental, social, and economic performance of supply chain operations. These solutions integrate artificial intelligence, big data analytics, IoT, lifecycle assessment, ESG metrics, and supplier intelligence to improve resource utilization, reduce emissions, identify sustainability risks, and strengthen supply chain transparency. Sustainable supply chain analytics supports responsible sourcing, regulatory compliance, resilience planning, and corporate sustainability initiatives. Increasing emphasis on ethical procurement and low-carbon supply chains is driving global market growth.

Market Dynamics:

Driver:

Increasing supply chain transparency initiatives

Sustainable supply chain analytics enables organizations to measure environmental, social, and operational performance across their supply networks. Companies are seeking greater visibility into sourcing, manufacturing, transportation, and supplier activities. Growing ESG commitments are encouraging businesses to monitor sustainability performance more closely. Digital analytics platforms help identify risks and improve operational efficiency throughout the supply chain. Businesses are also using these solutions to strengthen supplier accountability and meet customer expectations.

Restraint:

Multi-tier supplier data complexity

Global supply chains involve multiple supplier levels that are difficult to monitor consistently. Many suppliers use different reporting systems and sustainability metrics. Collecting accurate information from lower-tier suppliers often requires significant time and resources. Incomplete data can reduce the effectiveness of sustainability analysis and reporting. Organizations also face challenges in consolidating information from geographically dispersed suppliers. These issues increase implementation complexity for sustainable supply chain analytics platforms.

Opportunity:

AI-powered supplier sustainability insights

Artificial intelligence can process large volumes of supplier data within a short time. AI helps businesses identify sustainability risks, supplier performance gaps, and compliance issues more efficiently. Predictive analytics also supports better supplier selection and long-term procurement planning. Organizations can respond more quickly to operational disruptions through intelligent risk monitoring. Continuous AI improvements are making supply chain analytics more proactive and data-driven. This is encouraging greater investment in AI-enabled sustainability platforms.

Threat:

Supplier data reliability issues

Accurate sustainability reporting depends on reliable information from every supplier. Some suppliers still rely on manual reporting processes that increase the risk of data errors. Inconsistent information can affect ESG reporting accuracy and business decisions. Verifying sustainability data across international supply chains also requires additional resources. Companies are investing in digital verification technologies to improve reporting quality. Despite these efforts, data reliability continues to influence customer confidence.

Covid-19 Impact:

The COVID-19 pandemic highlighted the importance of resilient and transparent supply chains. Organizations experienced disruptions that exposed limited visibility into supplier operations. Many companies accelerated investments in digital analytics to improve supply chain monitoring and risk management. Sustainability also became a greater priority as businesses reassessed sourcing strategies. Cloud-based analytics platforms supported remote collaboration and operational continuity during the pandemic. Companies continue using these digital capabilities to strengthen long-term supply chain resilience.

The carbon emissions analytics segment is expected to be the largest during the forecast period

The carbon emissions analytics segment is expected to account for the largest market share during the forecast period as companies are placing greater emphasis on measuring supply chain emissions. These platforms help organizations calculate emissions generated across production, transportation, warehousing, and procurement activities. Businesses use carbon analytics to support ESG disclosures and climate reporting requirements. The solutions also identify emission hotspots and recommend improvement opportunities. Growing corporate net-zero strategies are increasing investments in carbon measurement technologies. Continuous regulatory focus on greenhouse gas reporting is further supporting segment growth.

The reverse logistics segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the reverse logistics segment is predicted to witness the highest growth rate due to the increasing focus on product recovery and circular supply chains. Organizations are improving the management of returned products, recycling operations, refurbishment, and material recovery. Analytics platforms provide better visibility into reverse logistics activities and resource utilization. Businesses are also aiming to reduce waste while improving operational efficiency. Growing circular economy initiatives are encouraging investment in reverse logistics technologies. These trends are expected to accelerate demand for analytics solutions in this segment.

Region with largest share:

During the forecast period, the Europe region is expected to hold the largest market share owing to comprehensive ESG compliance requirements. Germany is leading adoption through advanced manufacturing and digital supply chain management initiatives. France continues expanding sustainability reporting across industrial and consumer sectors. Sweden is promoting transparent and low-carbon supply chains through strong sustainability policies, while the United Kingdom is increasing investments in supply chain risk management and ESG analytics. High regulatory compliance and mature sustainability practices continue to strengthen the regional market. Europe is expected to maintain its leadership in sustainable supply chain analytics.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by expanding digital supply chain transformation. China is adopting advanced analytics to improve manufacturing efficiency and supplier transparency. India is experiencing rapid growth in ESG reporting and digital procurement across large enterprises. Japan is integrating AI into supply chain optimization, while Singapore is strengthening sustainable logistics and smart trade infrastructure. Growing industrialization and increasing corporate sustainability initiatives are accelerating regional adoption.

Key players in the market

Some of the key players in Sustainable Supply Chain Analytics Market include SAP SE, Oracle Corporation, IBM Corporation, Kinaxis Inc., Coupa Software Inc., E2open Parent Holdings, Inc., project44, Inc., FourKites, Inc., Sphera Solutions, Inc., EcoVadis SAS, Blue Yonder Group, Inc., o9 Solutions, Inc., Infor Inc., Descartes Systems Group Inc. and GainSystems, Inc.

Key Developments:

In March 2026, IBM Corporation updated its Envizi ESG Suite with watsonx-powered generative AI tools specifically engineered for environmental footprint management. The platform automates complex Scope 1 through 3 emissions tracking, automated footprint calculations, and supply chain audit preparation. These capabilities enable enterprise sustainability teams to streamline regulatory disclosures and track net-zero targets.

In January 2026, SAP SE launched significant carbon accounting and footprint management updates within its SAP S/4HANA Cloud ERP ecosystem. The system connects transactional supply chain data directly with life cycle assessment engines to calculate real-time product carbon footprints. This integration equips enterprise clients with granular visibility into material-level emissions across global production workflows.

Analytics Types Covered:

  • Carbon Emissions Analytics
  • Supplier Sustainability Analytics
  • Resource Consumption Analytics
  • Risk & Compliance Analytics
  • Other Analytics Types

Supply Chain Stages Covered:

  • Procurement
  • Production
  • Logistics & Distribution
  • Reverse Logistics
  • Other Supply Chain Stages

Data Sources Covered:

  • Enterprise Systems
  • IoT Devices
  • Supplier Data
  • Third-Party Sustainability Data
  • Other Data Sources

Decision Support Functions Covered:

  • Supplier Evaluation
  • Risk Prioritization
  • Emission Reduction Planning
  • Performance Benchmarking
  • Other Decision Support Functions

End Users Covered:

  • Manufacturing Enterprises
  • Retail & E-commerce Companies
  • Logistics Service Providers
  • Consumer Goods 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 Sustainable Supply Chain Analytics Market, By Analytics Type

  • 5.1 Carbon Emissions Analytics
  • 5.2 Supplier Sustainability Analytics
  • 5.3 Resource Consumption Analytics
  • 5.4 Risk & Compliance Analytics
  • 5.5 Other Analytics Types

6 Global Sustainable Supply Chain Analytics Market, By Supply Chain Stage

  • 6.1 Procurement
  • 6.2 Production
  • 6.3 Logistics & Distribution
  • 6.4 Reverse Logistics
  • 6.5 Other Supply Chain Stages

7 Global Sustainable Supply Chain Analytics Market, By Data Source

  • 7.1 Enterprise Systems
  • 7.2 IoT Devices
  • 7.3 Supplier Data
  • 7.4 Third-Party Sustainability Data
  • 7.5 Other Data Sources

8 Global Sustainable Supply Chain Analytics Market, By Decision Support Function

  • 8.1 Supplier Evaluation
  • 8.2 Risk Prioritization
  • 8.3 Emission Reduction Planning
  • 8.4 Performance Benchmarking
  • 8.5 Other Decision Support Functions

9 Global Sustainable Supply Chain Analytics Market, By End User

  • 9.1 Manufacturing Enterprises
  • 9.2 Retail & E-commerce Companies
  • 9.3 Logistics Service Providers
  • 9.4 Consumer Goods Companies
  • 9.5 Other End Users

10 Global Sustainable Supply Chain Analytics 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 Kinaxis Inc.
  • 13.5 Coupa Software Inc.
  • 13.6 E2open Parent Holdings, Inc.
  • 13.7 project44, Inc.
  • 13.8 FourKites, Inc.
  • 13.9 Sphera Solutions, Inc.
  • 13.10 EcoVadis SAS
  • 13.11 Blue Yonder Group, Inc.
  • 13.12 o9 Solutions, Inc.
  • 13.13 Infor Inc.
  • 13.14 Descartes Systems Group Inc.
  • 13.15 GainSystems, Inc.

List of Tables

  • Table 1 Global Sustainable Supply Chain Analytics Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Sustainable Supply Chain Analytics Market, By Analytics Type (2023-2034) ($MN)
  • Table 3 Global Sustainable Supply Chain Analytics Market, By Carbon Emissions Analytics (2023-2034) ($MN)
  • Table 4 Global Sustainable Supply Chain Analytics Market, By Supplier Sustainability Analytics (2023-2034) ($MN)
  • Table 5 Global Sustainable Supply Chain Analytics Market, By Resource Consumption Analytics (2023-2034) ($MN)
  • Table 6 Global Sustainable Supply Chain Analytics Market, By Risk & Compliance Analytics (2023-2034) ($MN)
  • Table 7 Global Sustainable Supply Chain Analytics Market, By Other Analytics Types (2023-2034) ($MN)
  • Table 8 Global Sustainable Supply Chain Analytics Market, By Supply Chain Stage (2023-2034) ($MN)
  • Table 9 Global Sustainable Supply Chain Analytics Market, By Procurement (2023-2034) ($MN)
  • Table 10 Global Sustainable Supply Chain Analytics Market, By Production (2023-2034) ($MN)
  • Table 11 Global Sustainable Supply Chain Analytics Market, By Logistics & Distribution (2023-2034) ($MN)
  • Table 12 Global Sustainable Supply Chain Analytics Market, By Reverse Logistics (2023-2034) ($MN)
  • Table 13 Global Sustainable Supply Chain Analytics Market, By Other Supply Chain Stages (2023-2034) ($MN)
  • Table 14 Global Sustainable Supply Chain Analytics Market, By Data Source (2023-2034) ($MN)
  • Table 15 Global Sustainable Supply Chain Analytics Market, By Enterprise Systems (2023-2034) ($MN)
  • Table 16 Global Sustainable Supply Chain Analytics Market, By IoT Devices (2023-2034) ($MN)
  • Table 17 Global Sustainable Supply Chain Analytics Market, By Supplier Data (2023-2034) ($MN)
  • Table 18 Global Sustainable Supply Chain Analytics Market, By Third-Party Sustainability Data (2023-2034) ($MN)
  • Table 19 Global Sustainable Supply Chain Analytics Market, By Other Data Sources (2023-2034) ($MN)
  • Table 20 Global Sustainable Supply Chain Analytics Market, By Decision Support Function (2023-2034) ($MN)
  • Table 21 Global Sustainable Supply Chain Analytics Market, By Supplier Evaluation (2023-2034) ($MN)
  • Table 22 Global Sustainable Supply Chain Analytics Market, By Risk Prioritization (2023-2034) ($MN)
  • Table 23 Global Sustainable Supply Chain Analytics Market, By Emission Reduction Planning (2023-2034) ($MN)
  • Table 24 Global Sustainable Supply Chain Analytics Market, By Performance Benchmarking (2023-2034) ($MN)
  • Table 25 Global Sustainable Supply Chain Analytics Market, By Other Decision Support Functions (2023-2034) ($MN)
  • Table 26 Global Sustainable Supply Chain Analytics Market, By End User (2023-2034) ($MN)
  • Table 27 Global Sustainable Supply Chain Analytics Market, By Manufacturing Enterprises (2023-2034) ($MN)
  • Table 28 Global Sustainable Supply Chain Analytics Market, By Retail & E-commerce Companies (2023-2034) ($MN)
  • Table 29 Global Sustainable Supply Chain Analytics Market, By Logistics Service Providers (2023-2034) ($MN)
  • Table 30 Global Sustainable Supply Chain Analytics Market, By Consumer Goods Companies (2023-2034) ($MN)
  • Table 31 Global Sustainable Supply Chain Analytics 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.