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市场调查报告书
商品编码
1892761

供应链视觉化软体市场机会、成长驱动因素、产业趋势分析及预测（2026-2035年）

Supply Chain Visibility Software Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2026 - 2035
出版日期: | 出版商: Global Market Insights Inc. | 英文 225 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2025 年全球供应链视觉化软体市场价值为 33 亿美元，预计到 2035 年将以 13.4% 的复合年增长率成长至 109 亿美元。

供应链视觉化软体市场 - IMG1

从传统的人工追踪方式向云端原生数位平台的转变正在推动其广泛应用。疫情、地缘政治衝突和极端天气事件等突发事件凸显了传统供应链的脆弱性，促使企业采用更先进的解决方案。人工智慧、机器学习和物联网感测器正在实现预测性供应链智能，使企业能够预测需求、检测异常情况并有效优化路线。区块链和边缘运算增强了可追溯性和合规性。日益严格的法规，包括欧盟的《企业永续发展尽职调查指令》、美国食品药品监督管理局的《食品安全现代化法案》204、欧盟的《森林砍伐条例》以及《维吾尔族强迫劳动预防法》，正在加速这些技术的普及应用，因为企业力求整合供应商资料、碳核算和基于事件的追踪，以避免处罚并提高透明度。

市场范围
起始年份 2025
预测年份 2026-2035
起始值 33亿美元
预测值 109亿美元
复合年增长率 13.4%

到 2025 年，软体领域将占据 70% 的市场份额，预计到 2035 年将以 12.8% 的复合年增长率成长。软体元件，包括分析仪表板、控制塔应用程式和视觉化平台，对于撷取、处理和显示供应链资料至关重要。

云端原生SaaS模式支援快速部署、成本效益和持续更新。到2025年，云端SaaS市占率将达到57%，预计2026年至2035年将以14.1%的复合年增长率成长。云端解决方案提供即时存取、更有效率的协作、可扩展性、更低的初始成本以及更轻的IT管理负担。

2024年，受电子商务扩张、复杂物流网路以及领先企业创新驱动，美国供应链视觉化软体市场占据了显着份额。美国托运人、承运人和第三方物流供应商正在采用视觉化平台来提高透明度和营运效率。人工智慧驱动的分析和预测洞察在推动这一转型中起着关键作用。诸如《食品安全现代化法案》（FSMA）第204条和《维吾尔族强迫劳动预防法》等监管要求进一步推动了视觉化平台的应用，以确保可追溯性和合规性。

目录

第一章：方法论

第二章：执行概要

第三章：行业洞察

  • 产业生态系分析
    • 供应商格局
    • 利润率分析
    • 成本结构
    • 每个阶段的价值增加
    • 影响价值链的因素
    • 中断
  • 产业影响因素
    • 成长驱动因素
      • 供应链的数位转型
      • 电子商务的兴起和复杂的全球贸易
      • 风险管理和供应链韧性的必要性
      • 监管、合规、永续性和可追溯性要求
      • 产业扩张和关键产业成长
    • 产业陷阱与挑战
      • 高昂的实施和整合成本
      • 资料安全和隐私问题
    • 市场机会
      • 新兴市场的扩张
      • 与物联网和人工智慧技术的集成
      • 基于云端和SaaS的解决方案
      • 注重永续性和可追溯性
  • 成长潜力分析
  • 监管环境
    • FDA FSMA 食品可追溯性要求
    • 欧盟永续发展法规（CSRD、CSDD、ESPR）
    • 数位产品护照（DPP）强制令
    • 欧盟森林砍伐法规（EUDR）
    • 软体供应链安全（SBOM、NIST SSDF）
    • 海关和贸易合规要求
    • 资料隐私与主权法规（G​​DPR、CCPA）
    • 产业特定法规（DSCSA、ITAR、HIPAA）
  • 波特的分析
  • PESTEL 分析
  • 技术与创新格局
    • 当前技术趋势
      • 控制塔架构演变
      • 人工智慧和机器学习在预测分析的应用
      • 物联网与感测器整合（GPS、RFID、远端资讯处理）
      • 区块链实现不可篡改的可追溯性
    • 新兴技术
      • 数位孪生与仿真
      • 用于即时处理的边缘运算
      • 供应链规划人员的生成式人工智慧和辅助驾驶系统
      • 5G连线和低延迟应用
  • 定价模型和总拥有成本
    • SaaS订阅定价
    • 本地许可和维护
    • 混合部署经济学
    • 实施和整合成本
    • 整体拥有成本比较：云端部署 vs 本机部署 vs 混合式部署
    • 隐性成本与成本优化策略
    • 价格趋势与市场动态
  • 专利分析
    • 美国专利商标局 CPC 分类概览（G06Q、G06K）
    • 关键专利趋势（2020-2025）
    • 预测性可视性和路线优化专利
    • 区块链与可追溯性智慧财产权格局
    • 顶级专利受让人与创新领导者
    • 按地域分類的专利申请趋势
    • 自由实施权考量
  • 使用案例和成功故事
    • 製造业：汽车一级供应商的可见性
    • 零售：全通路库存可见性
    • 食品饮料：FDA FSMA合规实施
    • 药品：序列化与追溯
    • 物流：即时运输可视性
    • 时尚：永续性和道德采购可追溯性
    • 高科技：缓解零件短缺
  • 永续性和环境方面
    • 永续实践
    • 减少废弃物策略
    • 生产中的能源效率
    • 环保倡议
    • 碳足迹考量
  • 投资报酬率及商业案例分析
    • 可量化的收益和关键绩效指标
    • 物流成本降低（15-30%）
    • 库存优化（降低20-30%的库存持有成本）
    • 准时交货率提升（10-25%）
    • 异常管理效率（减少 40-60% 的人工操作）
    • 顾客满意度与顾客留存率的影响
    • 实施时间表和价值实现时间
    • 投资报酬率计算方法
    • 依部署模型进行投资回收期分析
  • 供应链与整合格局
    • ERP整合（SAP、Oracle、Microsoft Dynamics）
    • WMS 和 TMS 连接
    • 营运商与第三方物流网路集成
    • 物联网设备和感测器接入
    • API 和 EDI 标准
    • 资料交换协定和格式
    • 整合复杂性及最佳实践
  • 按地区分類的采用障碍和促进因素
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲
  • 供应商版图及分类
    • 纯粹的可见性专家
    • ERP嵌入式解决方案
    • 具有可见性的TMS/WMS供应商
    • 多企业网路平台
    • 垂直产业特定解决方案
    • 新兴技术专家
    • 第三方物流/货运代理平台
    • 具有可见性的采购平台
  • 产业特定采用模式
    • 製造业：多层级供应商可视性重点
    • 零售与电子商务：最后一公里配送及履约可见性
    • 物流与第三方物流：运输与资产追踪
    • 食品饮料：监管可追溯性（FDA FSMA）
    • 医疗保健与製药：序列化与冷链
    • 汽车产业：准时制生产和N级供应商的可视性
    • 时尚与服装：永续性可追溯性
  • 变革管理与组织准备
    • 利害关係人协调与高阶主管支持
    • 跨职能团队组建
    • 流程重组与标准化
    • 培训与能力建设
    • 供应商入驻与协作
    • 绩效指标和关键绩效指标定义
    • 持续改进与优化

第四章：竞争格局

  • 介绍
  • 公司市占率分析
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • MEA
  • 主要市场参与者的竞争分析
  • 竞争定位矩阵
  • 战略展望矩阵
  • 关键进展
    • 併购
    • 合作伙伴关係与合作
    • 新产品发布
    • 扩张计划和资金
      • 创投与私募股权活动
      • 併购趋势与整合
      • 策略伙伴关係与联盟
      • 依公司发展阶段分類的融资情况（种子轮、AD轮、成长期）
      • 投资的地理分布
      • 投资者格局及主要参与者

第五章：市场估算与预测：依组件划分，2022-2035年

  • 软体
  • 服务
    • 咨询
    • 执行
    • 支援与维护

第六章：市场估算与预测：依部署模式划分，2022-2035年

  • 云
  • 本地部署

第七章：市场估算与预测：依企业规模划分，2022-2035年

  • 大型企业
  • 中小企业

第八章：市场估算与预测：依应用领域划分，2022-2035年

  • 订单管理
  • 资产追踪
  • 库存管理
  • 货物追踪
  • 供应链规划
  • 其他的

第九章：市场估算与预测：依最终用途划分，2022-2035年

  • 零售和消费品
  • 医疗保健和製药
  • 製造业
  • 运输和物流
  • 汽车
  • 航太与国防
  • 食品和饮料
  • 其他的

第十章：市场估计与预测：依地区划分，2022-2035年

  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 北欧
    • 葡萄牙
    • 克罗埃西亚
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 新加坡
    • 泰国
    • 印尼
    • 越南
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋
    • 土耳其

第十一章：公司简介

  • 全球参与者
    • Amazon Web Services (AWS)
    • Blue Yonder
    • Google Cloud
    • IBM
    • Infor
    • Manhattan Associates
    • Microsoft
    • Oracle
    • Salesforce
    • SAP
  • 区域玩家
    • CH Robinson Worldwide
    • Coupa Software
    • Descartes Systems
    • E2open
    • Epicor Software
    • GEP
    • Ivalua
    • JAGGAER
    • Kinaxis
    • Logility
  • 新兴及小众玩家
    • FourKites
    • project44
    • Shippeo
    • TraceLink
    • Transporeon
简介目录
Product Code: 10277

The Global Supply Chain Visibility Software Market was valued at USD 3.3 billion in 2025 and is estimated to grow at a CAGR of 13.4% to reach USD 10.9 billion by 2035.

Supply Chain Visibility Software Market - IMG1

The shift from traditional manual tracking methods to cloud-native digital platforms is driving widespread adoption. Disruptions such as pandemics, geopolitical conflicts, and extreme weather events have highlighted vulnerabilities in conventional supply chains, prompting organizations to embrace more advanced solutions. Artificial intelligence, machine learning, and IoT sensors are enabling predictive supply chain intelligence, allowing companies to forecast demand, detect anomalies, and optimize routes efficiently. Blockchain and edge computing enhance traceability and regulatory compliance. Increasingly stringent regulations, including the EU's Corporate Sustainability Due Diligence Directive, the FDA's FSMA 204, the EU Deforestation Regulation, and the Uyghur Forced Labor Prevention Act, are accelerating adoption as organizations aim to integrate supplier data, carbon accounting, and event-based tracking to avoid penalties and improve transparency.

Market Scope
Start Year2025
Forecast Year2026-2035
Start Value$3.3 Billion
Forecast Value$10.9 Billion
CAGR13.4%

The software segment held a 70% share in 2025 and is expected to grow at a CAGR of 12.8% through 2035. Software components, including analytics dashboards, control tower applications, and visibility platforms, are essential for capturing, processing, and displaying supply chain data.

Cloud-native SaaS models support rapid deployment, cost efficiency, and continuous updates. The cloud-based segment held a 57% share in 2025 and is forecasted to grow at a CAGR of 14.1% from 2026 to 2035. Cloud solutions offer real-time accessibility, improved collaboration, scalability, reduced upfront costs, and lower IT management burdens.

U.S. Supply Chain Visibility Software Market held a significant share in 2024, driven by e-commerce expansion, complex logistics networks, and innovation from leading companies. U.S. shippers, carriers, and third-party logistics providers are adopting visibility platforms to increase transparency and operational efficiency. AI-powered analytics and predictive insights are pivotal in enabling this transformation. Regulatory mandates such as the FSMA 204 and the Uyghur Forced Labor Prevention Act are further fueling adoption to ensure traceability and compliance.

Key players in the Supply Chain Visibility Software Market include Blue Yonder, Manhattan Associates, Project44, Oracle, SAP, IBM, Kinaxis, Infor, Descartes Systems, and FourKites. Companies in the Supply Chain Visibility Software Market are strengthening their presence through several strategies. They are investing heavily in AI, IoT, and blockchain integration to offer predictive analytics, real-time monitoring, and enhanced traceability. Strategic partnerships with logistics providers and third-party platforms expand reach and customer adoption. Cloud-based SaaS models are emphasized to reduce deployment time, provide scalability, and lower operational costs. Firms also focus on continuous software upgrades, customer training, and robust support services to enhance client satisfaction. Additionally, companies leverage analytics for insights into demand, supply risks, and regulatory compliance, ensuring they remain competitive and capable of supporting complex global supply chains.

Table of Contents

Chapter 1 Methodology

  • 1.1 Market scope and definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Data mining sources
    • 1.3.1 Global
    • 1.3.2 Regional/Country
  • 1.4 Base estimates and calculations
    • 1.4.1 Base year calculation
    • 1.4.2 Key trends for market estimation
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
  • 1.6 Forecast model
  • 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2022 - 2035
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Component
    • 2.2.3 Deployment Mode
    • 2.2.4 Enterprise Size
    • 2.2.5 Application
    • 2.2.6 End Use
  • 2.3 TAM Analysis, 2026-2035
  • 2.4 CXO perspectives: Strategic imperatives
    • 2.4.1 Executive decision points
    • 2.4.2 Critical success factors
  • 2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin analysis
    • 3.1.3 Cost structure
    • 3.1.4 Value addition at each stage
    • 3.1.5 Factor affecting the value chain
    • 3.1.6 Disruptions
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Digital transformation of supply chains
      • 3.2.1.2 Rise of e-commerce and complex global trade
      • 3.2.1.3 Need for risk management and supply-chain resilience
      • 3.2.1.4 Regulatory, compliance, sustainability, and traceability requirements
      • 3.2.1.5 Industry expansion and growth of key sectors
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High implementation and integration costs
      • 3.2.2.2 Data security and privacy concerns
    • 3.2.3 Market opportunities
      • 3.2.3.1 Expansion in emerging markets
      • 3.2.3.2 Integration with IoT and AI technologies
      • 3.2.3.3 Cloud-based and SaaS solutions
      • 3.2.3.4 Focus on sustainability and traceability
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
    • 3.4.1 FDA FSMA food traceability requirements
    • 3.4.2 EU sustainability regulations (CSRD, CSDD, ESPR)
    • 3.4.3 Digital product passport (DPP) mandates
    • 3.4.4 EU deforestation regulation (EUDR)
    • 3.4.5 Software supply chain security (SBOM, NIST SSDF)
    • 3.4.6 Customs & trade compliance requirements
    • 3.4.7 Data privacy & sovereignty regulations (GDPR, CCPA)
    • 3.4.8 Industry-specific regulations (DSCSA, ITAR, HIPAA)
  • 3.5 Porter's analysis
  • 3.6 PESTEL analysis
  • 3.7 Technology and innovation landscape
    • 3.7.1 Current technological trends
      • 3.7.1.1 Control tower architecture evolution
      • 3.7.1.2 AI & machine learning for predictive analytics
      • 3.7.1.3 IoT & sensor integration (GPS, RFID, telematics)
      • 3.7.1.4 Blockchain for immutable traceability
    • 3.7.2 Emerging technologies
      • 3.7.2.1 Digital twins & simulation
      • 3.7.2.2 Edge computing for real-time processing
      • 3.7.2.3 Generative AI & copilots for supply chain planners
      • 3.7.2.4 5G connectivity & low-latency applications
  • 3.8 Pricing models & total cost of ownership
    • 3.8.1 SaaS subscription pricing
    • 3.8.2 On-premise licensing & maintenance
    • 3.8.3 Hybrid deployment economics
    • 3.8.4 Implementation & integration costs
    • 3.8.5 TCO comparison: cloud vs on-premise vs hybrid
    • 3.8.6 Hidden costs & cost optimization strategies
    • 3.8.7 Pricing trends & market dynamics
  • 3.9 Patent analysis
    • 3.9.1 USPTO CPC classification landscape (G06Q, G06K)
    • 3.9.2 Key patent trends (2020-2025)
    • 3.9.3 Predictive visibility & route optimization patents
    • 3.9.4 Blockchain & traceability IP landscape
    • 3.9.5 Top patent assignees & innovation leaders
    • 3.9.6 Patent filing trends by geography
    • 3.9.7 Freedom-to-operate considerations
  • 3.10 Use cases & success stories
    • 3.10.1 Manufacturing: automotive tier-N visibility
    • 3.10.2 Retail: omni-channel inventory visibility
    • 3.10.3 Food & beverage: FDA FSMA compliance implementation
    • 3.10.4 Pharmaceuticals: serialization & track-and-trace
    • 3.10.5 Logistics: real-time transportation visibility
    • 3.10.6 Fashion: sustainability & ethical sourcing traceability
    • 3.10.7 High-tech: component shortage mitigation
  • 3.11 Sustainability and environmental aspects
    • 3.11.1 Sustainable practices
    • 3.11.2 Waste reduction strategies
    • 3.11.3 Energy efficiency in production
    • 3.11.4 Eco-friendly Initiatives
    • 3.11.5 Carbon footprint considerations
  • 3.12 ROI & business case analysis
    • 3.12.1 Quantifiable benefits & KPIs
    • 3.12.2 Logistics cost reduction (15-30%)
    • 3.12.3 Inventory optimization (20-30% carrying cost reduction)
    • 3.12.4 On-time delivery improvement (10-25%)
    • 3.12.5 Exception management efficiency (40-60% manual reduction)
    • 3.12.6 Customer satisfaction & retention impact
    • 3.12.7 Implementation timeframes & time-to-value
    • 3.12.8 ROI calculation methodologies
    • 3.12.9 Payback period analysis by deployment model
  • 3.13 Supply chain & integration landscape
    • 3.13.1 ERP integration (SAP, Oracle, Microsoft Dynamics)
    • 3.13.2 WMS & TMS connectivity
    • 3.13.3 Carrier & 3PL network integration
    • 3.13.4 IoT device & sensor onboarding
    • 3.13.5 API & EDI standards
    • 3.13.6 Data exchange protocols & formats
    • 3.13.7 Integration complexity & best practices
  • 3.14 Adoption barriers & enablers by region
    • 3.14.1 North America
    • 3.14.2 Europe
    • 3.14.3 Asia Pacific
    • 3.14.4 Latin America
    • 3.14.5 Middle East & Africa
  • 3.15 Vendor landscape & categorization
    • 3.15.1 Pure-play visibility specialists
    • 3.15.2 ERP-embedded solutions
    • 3.15.3 TMS/WMS vendors with visibility
    • 3.15.4 Multi-enterprise network platforms
    • 3.15.5 Vertical-specific solutions
    • 3.15.6 Emerging technology specialists
    • 3.15.7 3PL/freight forwarder platforms
    • 3.15.8 Procurement platforms with visibility
  • 3.16 Industry-specific adoption patterns
    • 3.16.1 Manufacturing: multi-tier supplier visibility focus
    • 3.16.2 Retail & e-commerce: last-mile & fulfillment visibility
    • 3.16.3 Logistics & 3PL: transportation & asset tracking
    • 3.16.4 Food & beverage: regulatory traceability (FDA FSMA)
    • 3.16.5 Healthcare & pharma: serialization & cold chain
    • 3.16.6 Automotive: JIT & tier-N supplier visibility
    • 3.16.7 Fashion & apparel: sustainability traceability
  • 3.17 Change management & organizational readiness
    • 3.17.1 Stakeholder alignment & executive sponsorship
    • 3.17.2 Cross-functional team formation
    • 3.17.3 Process redesign & standardization
    • 3.17.4 Training & capability building
    • 3.17.5 Supplier onboarding & collaboration
    • 3.17.6 Performance metrics & KPI definition
    • 3.17.7 Continuous improvement & optimization

Chapter 4 Competitive Landscape, 2025

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 North America
    • 4.2.2 Europe
    • 4.2.3 Asia Pacific
    • 4.2.4 LATAM
    • 4.2.5 MEA
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategic outlook matrix
  • 4.6 Key developments
    • 4.6.1 Mergers & acquisitions
    • 4.6.2 Partnerships & collaborations
    • 4.6.3 New Product Launches
    • 4.6.4 Expansion Plans and funding
      • 4.6.4.1 Venture capital & private equity activity
      • 4.6.4.2 M&A trends & consolidation
      • 4.6.4.3 Strategic partnerships & alliances
      • 4.6.4.4 Funding by company stage (seed, Series A-D, growth)
      • 4.6.4.5 Geographic distribution of investments
      • 4.6.4.6 Investor landscape & key players

Chapter 5 Market Estimates & Forecast, By Component, 2022-2035 ($Bn)

  • 5.1 Key trends
  • 5.2 Software
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 Implementation
    • 5.3.3 Support & Maintenance

Chapter 6 Market Estimates & Forecast, By Deployment Mode, 2022-2035 ($Bn)

  • 6.1 Key trends
  • 6.2 Cloud
  • 6.3 On-Premises

Chapter 7 Market Estimates & Forecast, By Enterprise Size, 2022-2035 ($Bn)

  • 7.1 Key trends
  • 7.2 Large enterprises
  • 7.3 SME

Chapter 8 Market Estimates & Forecast, By Application, 2022-2035 ($Bn)

  • 8.1 Key trends
  • 8.2 Order management
  • 8.3 Asset tracking
  • 8.4 Inventory management
  • 8.5 Shipment tracking
  • 8.6 Supply chain planning
  • 8.7 Others

Chapter 9 Market Estimates & Forecast, By End Use, 2022-2035 ($Bn)

  • 9.1 Key trends
  • 9.2 Retail and consumer goods
  • 9.3 Healthcare and pharmaceuticals
  • 9.4 Manufacturing
  • 9.5 Transportation and logistics
  • 9.6 Automotive
  • 9.7 Aerospace and defense
  • 9.8 Food and beverages
  • 9.9 Others

Chapter 10 Market Estimates & Forecast, By Region, 2022 - 2035 ($Bn)

  • 10.1 Key trends
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 France
    • 10.3.4 Italy
    • 10.3.5 Spain
    • 10.3.6 Russia
    • 10.3.7 Nordics
    • 10.3.8 Portugal
    • 10.3.9 Croatia
  • 10.4 Asia Pacific
    • 10.4.1 China
    • 10.4.2 India
    • 10.4.3 Japan
    • 10.4.4 Australia
    • 10.4.5 South Korea
    • 10.4.6 Singapore
    • 10.4.7 Thailand
    • 10.4.8 Indonesia
    • 10.4.9 Vietnam
  • 10.5 Latin America
    • 10.5.1 Brazil
    • 10.5.2 Mexico
    • 10.5.3 Argentina
  • 10.6 MEA
    • 10.6.1 South Africa
    • 10.6.2 Saudi Arabia
    • 10.6.3 UAE
    • 10.6.4 Turkey

Chapter 11 Company Profiles

  • 11.1 Global Players
    • 11.1.1 Amazon Web Services (AWS)
    • 11.1.2 Blue Yonder
    • 11.1.3 Google Cloud
    • 11.1.4 IBM
    • 11.1.5 Infor
    • 11.1.6 Manhattan Associates
    • 11.1.7 Microsoft
    • 11.1.8 Oracle
    • 11.1.9 Salesforce
    • 11.1.10 SAP
  • 11.2 Regional Players
    • 11.2.1 C.H. Robinson Worldwide
    • 11.2.2 Coupa Software
    • 11.2.3 Descartes Systems
    • 11.2.4 E2open
    • 11.2.5 Epicor Software
    • 11.2.6 GEP
    • 11.2.7 Ivalua
    • 11.2.8 JAGGAER
    • 11.2.9 Kinaxis
    • 11.2.10 Logility
  • 11.3 Emerging & Niche Players
    • 11.3.1 FourKites
    • 11.3.2 project44
    • 11.3.3 Shippeo
    • 11.3.4 TraceLink
    • 11.3.5 Transporeon