查看購物車
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
2117598

供應鏈控制塔：市場佔有率分析、產業趨勢與統計、成長預測（2026-2031）

Supply Chain Control Tower - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031)
出版日期: | 出版商: Mordor Intelligence | 英文 146 Pages | 商品交期: 2-3個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

根據 Mordor Intelligence 預測，供應鏈控制塔市場將從 2025 年的 98.6 億美元成長到 2031 年的 257.6 億美元，2026 年至 2031 年的複合年成長率為 17.36%。

供應鏈控制塔-市場-IMG1

本報告按控制塔類型（營運控制塔、分析/決策支援控制塔、其他）、元件（軟體、服務）、部署模式（雲端、本地部署、其他）、最終用戶/企業規模（大型企業、其他）、最終用戶產業（零售/電子商務、其他）和地區進行細分。市場預測以美元計價。

全球供應鏈控制塔市場趨勢及洞察

對即時端到端供應鏈可視性的需求

供應鏈控制塔市場正受益於供應鏈管理模式從週期性報告向全供應鏈持續可視性的轉變。許多公司仍然缺乏對供應商、運輸合作夥伴和配送點風險的整體情況。這種資訊鴻溝使得企業難以在延誤影響客戶服務之前識別其原因和預期影響。透過持續監控庫存和出貨訊息，企業可以減少庫存積壓，同時降低缺貨風險。最終，企業能夠將提升營運韌性與高效利用營運資金結合，從而實現商業價值。能夠快速連接ERP、倉儲、運輸和供應商系統的供應商可以縮短實施時間。對於無力承擔長期客製化整合或流程重組專案成本的客戶而言，此優勢尤其顯著。

供應鏈中斷加劇，以及對韌性的投資

供應鏈控制塔市場如今也受惠於注重早期反應而非事後復原的韌性計畫。 Resilinc 預測，到 2025 年，其將發布 26,225 條與地緣政治法規、業務重組、勞動問題和氣候相關事件相關的中斷警報，同比成長 38%。這些事件使得固定的供應商清單和人工升級方法在複雜的網路中顯得捉襟見肘。企業在變更採購地點或新增供應商時，需要更清楚地了解網路多個層面的情況。這項需求提升了能夠評估替代供應路線並快速識別受影響物料的系統的價值。採購決策也正轉向整合供應商數據、運輸狀態和計畫資訊的平台。因此，供應鏈控制塔產業有機會將韌性投資與服務水準保障和業務連續性連結起來。

整合舊有系統和確保資料一致性的相關成本。

過時的ERP環境會減緩供應鏈控制塔的部署，因為系統連接通常只是其中的一部分。供應商記錄、產品定義、運輸路線和位置資料在不同的業務部門之間往往以不同的形式進行管理。數據品質差會降低預測模型建議的準確性。企業可能需要數月的資料清理才能信任異常警報和自動化決策。當需要協調眾多採用不同資料管理方法的供應商和承運商時，這項挑戰會更加突出。這些合作關係還需要就進入許可權、資料所有權和錯誤責任達成協議。在選擇平台之前就已建構好資料結構的企業更有可能更快取得顯著成效。

細分市場分析

預計從2026年到2031年，端到端智慧控制塔的複合年成長率將達到19.58%，是所有控制塔類型中成長率最高的。截至2025年，營運控制塔佔據了供應鏈控制塔市場佔有率的53.84%。對於那些希望在運輸、庫存和供應商方面建立基本可視性的公司而言，營運控制塔仍然發揮著至關重要的作用。這些買家無需從一開始就實施高級自動化，即可從當前的營運資訊中獲益。分析和決策支援控制塔介於監控和全面編配之間。它們支援情境分析、根本原因檢驗和更明智的規劃。對於致力於加強資料基礎設施的公司而言，這一類別可能是一個切實可行的過渡方案。許多供應商現在正在將更多預測功能整合到其標準產品中。這種轉變可能會降低那些需要未來可擴展系統的買家對分離功能層的接受度。

對智慧平台的需求源於與單一供應商建立合作關係，該供應商能夠提供從可視性到執行的統一服務。 2026年5月，Blue Yonder宣布全面轉型至認知產品組合，並於2026年第一季新增30家客戶，同時被24家產業分析機構提及。這項消息反映了市場對無需客戶每次添加自動化功能時都會更換營運模式的平台的需求。採購公司可以先從監控入手，然後將建議和執行功能套用到相同的資料。這種方法減少了在不同產品之間遷移時可能出現的中斷。同時，這也為供應商提供了在現有客戶帳戶中拓展業務的機會。僅提供被動追蹤的供應商正面臨壓力，需要證明其如何支援引導式操作和自動化異常處理。在供應鏈控制塔市場，能夠透過全面的數據和產品設計來支持這種變革的供應商擁有顯著優勢。

截至2025年，軟體將佔供應鏈控制塔市場規模的62.13%。這種情況凸顯了訂閱式平台的重要性，這些平台將視覺化、工作流程和分析功能整合於單一環境中。軟體收入集中在擁有成熟企業平台和廣泛合作夥伴網路的供應商手中。預計到2031年，服務領域的複合年成長率將達到18.51%。如此高的成長率反映了對整合工作、模型調優和流程變更支援的需求。這些需求與傳統的部署工作有所不同，因為人工智慧系統需要根據客戶資料和營運實踐進行客製化。服務團隊可以幫助使用者解讀異常情況並設定自動化操作規則。他們的努力將影響平台在初始部署後能否提供可靠的結果。

供應鏈控制塔市場正朝著超越初始軟體運作的持續服務關係模式轉變。 O9 Solutions 於 2026 年 3 月實施了 APEX 模型，報告顯示已完成超過 130 次運作，並連續 28 個季度實現年度經常性收入 (ARR) 成長。例如，荷美爾食品 (Hormel Foods) 的實施涵蓋了 70 多個製造地，實現了常溫和冷藏網路的協調供需計畫。這些案例表明，客戶為何將持續的模型建構視為控制塔營運不可或缺的一部分，而非一次性專案。供應商可以透過這些努力提高資料品質並最佳化決策規則。買方需要評估服務需求對成本、內部技能和供應商變更的影響。他們還應區分建構可重複使用的內部能力和持續依賴供應商之間的差異。明確定義服務範圍既能帶來客製化平台的優勢，又不會掩蓋整體擁有成本。

區域分析

到2025年，北美將佔據供應鏈控制塔市場37.04%的佔有率。該地區受益於雲端供應鏈工具的早期應用以及眾多人工智慧平台供應商的存在。總部位於美國的跨國公司管理複雜的國際供應商、製造和物流網路。由於其規模龐大，存在許多例外情況和數據依賴性，因此投資建設綜合控制塔是合理的。該地區的買家也擁有在2020-2022年疫情期間啟動的數位化價值鏈專案的經驗。南美洲仍然是一個新興市場，巴西和哥倫比亞的全通路零售商對此表現出日益濃厚的興趣。這些公司正在尋求加強其分散的多模態網路之間的協調。資料基礎設施的限制和整合成本可能會延長中型用戶實現價值所需的時間。

在歐洲，對供應鏈控制塔的需求正日益受到監管主導。 《永續性報告指令》和《永續性實質審查指令》已於2026年3月修訂。這些新規進一步提升了供應鏈可追溯性和範圍3排放資訊對目標企業的重要性。控制塔有助於關聯供應商資料、運輸資訊和產品記錄，而這些對於此類報告至關重要。德國擁有大規模的工業基礎，是該地區的主要需求來源。 2025年至2026年間，超過50%的德國物流和製造業積極在其供應鏈營運中推廣人工智慧的應用。沙烏地阿拉伯和阿拉伯聯合大公國也在投資對其供應鏈進行現代化改造，重點是貿易流量樞紐和多模態。

預計到2031年，亞太地區將以19.36%的複合年成長率成長，成為所有地區中成長最快的地區。製造業向中國、印度和東南亞的近岸外包、本土平台的發展以及對數位基礎設施的投資，都為此成長提供了支撐。在中國，本土科技公司正在建立自己的供應鏈編配層，這使它們在與國際供應商的競爭中佔據了強大的優勢。在印度，跨國公司正積極投資建立供應商網路，而本土製造商則希望增強其出口能力。日本通運控股公司於2025年推出了具備控制塔功能的「NX Lead物流解決方案」。 2026年1月，Yamaha利用Domo平台實施了全球物流控制塔系統。非洲仍處於起步階段，但基於智慧型手機的視覺化工具和區域第三方物流（3PL）夥伴關係正在為更廣泛的應用建立數據基礎。

其他好處

  • Excel格式的市場預測（ME）表
  • 3個月的分析師支持

目錄

第1章：引言

  • 研究假設和市場定義
  • 調查範圍

第2章：調查方法

第3章執行摘要

第4章 市場狀況

  • 市場概覽
  • 市場促進因素
    • 對即時端到端供應鏈可視性的需求
    • 供應鏈中斷加劇，以及對韌性的投資
    • 人工智慧驅動的預測性異常管理
    • 雲端遷移與多家公司之間的協作
    • 產品級可追溯性和碳資料的要求
    • 數位孿生體和人工智慧代理的自主執行
  • 市場限制因素
    • 整合舊有系統和確保資料一致性的相關成本。
    • 網路安全、資料主權和第三方資料洩露
    • 人工智慧驅動的推薦系統中的可解釋性和課責差距。
    • 供應鏈數據和變革管理的專家短缺
  • 宏觀經濟因素對市場的影響
  • 產業價值鏈分析
  • 監理情勢
  • 技術展望
  • 波特五力分析
  • 功能能力和應用評估
    • 運輸和物流的可見性
    • 庫存可視化和分配
    • 訂單可見度與履約監控
    • 供應鏈監控與異常管理
    • 供應商風險和採購可見性
    • 合規性、可追溯性和永續性
    • 生產製造過程的可見性
    • 退貨和逆向物流的可見性

第5章 市場規模與成長預測

  • 控制塔類型
    • 運作控制塔
    • 分析與決策支援控制塔
    • 端對端智慧控制塔
  • 按組件
    • 軟體
    • 服務
  • 部署模式
    • 雲
    • 現場
    • 混合
  • 按最終用途/公司規模分類
    • 大公司
    • 小型企業
  • 按最終用戶行業分類
    • 零售與電子商務
    • 汽車和工業製造
    • 電子與高科技
    • 醫療保健和生命科學
    • 飲食
    • 化學品
    • 航太/國防
    • 第三方物流及貨運代理服務
    • 製藥
    • 消費品
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
      • 墨西哥
    • 南美洲
      • 巴西
      • 阿根廷
      • 哥倫比亞
      • 其他南美國家
    • 歐洲
      • 德國
      • 英國
      • 法國
      • 義大利
      • 西班牙
      • 俄羅斯
      • 北歐的
      • 其他歐洲國家
    • 亞太地區
      • 中國
      • 印度
      • 日本
      • 韓國
      • 澳洲
      • 東南亞
      • 紐西蘭
      • 其他亞太國家
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 以色列
      • 土耳其
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 奈及利亞
      • 肯亞
      • 其他非洲地區

第6章 競爭情勢

  • 市場集中度
  • 策略趨勢
  • 市佔率分析
  • 公司簡介
    • Blue Yonder Group, Inc.
    • project44, Inc.
    • FourKites, Inc.
    • o9 Solutions, Inc.
    • Shippeo SAS
    • Wakeo SAS
    • Everstream Analytics GmbH
    • Interos Inc.
    • Resilinc Corporation
    • Altana Technologies, Inc.
    • Infor（美國）有限責任公司
    • SAP SE
    • GEP Worldwide
    • International Business Machines Corporation

第7章 市場機會與未來展望

簡介目錄
Product Code: 100678

According to Mordor Intelligence, the supply chain control tower market size is projected to expand from USD 9.86 billion in 2025 to USD 25.76 billion by 2031, registering a CAGR of 17.36% between 2026 and 2031.

Supply Chain Control Tower - Market - IMG1

This report is Segmented by Control Tower Type (Operational Control Towers, Analytical and Decision Support Control Towers, and More), Component (Software, and Services), Deployment Mode (Cloud, On-Premise, and More), End Use Enterprise Size (Large Enterprises, and More), End-User Industry (Retail and E-Commerce, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Supply Chain Control Tower Market Trends and Insights

Demand for Real-Time End-to-End Supply Chain Visibility

The supply chain control tower market is benefiting from the shift from periodic reporting to continuous visibility across supply networks. Many companies still lack a complete view of risks across suppliers, transport partners, and distribution points. This gap makes it difficult to identify the source and likely effect of a delay before customer service is affected. Continuous inventory and shipment information can help companies reduce excess stock while lowering the risk of unavailable products. The result is a business case that includes both operational resilience and improved working capital use. Providers with ready connections to ERP, warehouse, transport, and supplier systems can shorten deployment work for buyers. Their advantage is stronger where customers cannot afford a long program of custom integration and process redesign.

Intensifying Supply Chain Disruptions and Resilience Investment

The supply chain control tower market is also supported by resilience programs that now focus on early action rather than recovery after a disruption. Resilinc issued 26,225 disruption alerts in 2025, up 38% from the prior year, across geopolitical enforcement, restructuring, labor issues, and climate-related events. These events make static supplier lists and manual escalation practices less sufficient for complex networks. Companies that change sourcing locations or add suppliers need clearer visibility across several tiers of the network. This requirement increases the value of systems that can assess alternative supply routes and quickly flag affected materials. It also shifts purchase decisions toward platforms that combine supplier data, transportation events, and planning information. The supply chain control tower industry, therefore, has an opportunity to tie resilience spending to protecting service levels and operational continuity.

Legacy-System Integration and Data Harmonization Costs

Older ERP environments can delay supply chain control tower market adoption because system connectivity is only one part of the work. Supplier records, product definitions, transport lanes, and location data often use different formats across business units. Poor data quality can weaken the recommendations produced by prediction models. Companies may need months of data cleanup before they can rely on exception alerts or automated decisions. The challenge becomes larger when a program needs to connect many suppliers and carriers with different data practices. These relationships also require agreements on access rights, data ownership, and error responsibility. Companies that prepare their data structures before selecting a platform are better positioned to achieve meaningful outcomes sooner.

Other drivers and restraints analyzed in the detailed report include:

  1. AI-Enabled Predictive Exception Management
  2. Cloud Migration and Multi-Enterprise Collaboration
  3. Cybersecurity, Data Sovereignty, and Third-Party Data Exposure

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

End-to-End Intelligent Control Towers are projected to grow at a 19.58% CAGR from 2026 to 2031, the highest rate among control tower types. Operational Control Towers held 53.84% of the supply chain control tower market share in 2025. They remain relevant for companies that are building basic visibility across transportation, inventory, and suppliers. These buyers can gain value from current operational information without implementing advanced automation at the start. Analytical and Decision Support Control Towers sit between monitoring and full orchestration. They support scenario analysis, root-cause review, and more informed planning choices. This category can provide a practical transition for companies that are strengthening their data foundation. Many vendors now include more predictive features in standard offerings. That change can reduce the appeal of separate capability layers for buyers who need a system that can expand over time.

Demand for intelligent platforms is supported by a single vendor relationship that extends from visibility to execution. Blue Yonder reported in May 2026 that it had shifted fully to its cognitive portfolio, added 30 customer logos, and appeared in 24 industry analyst reports during the first quarter of 2026. The announcement reflects demand for platforms that do not require customers to replace their operating model each time they add automation. Buyers can begin with monitoring and later apply recommendation or execution features to the same data. This path can lower the disruption associated with moving between separate products. It also gives providers opportunities to expand within current customer accounts. Vendors that only provide passive tracking face pressure to show how they will support guided actions and automated exception handling. The supply chain control tower market favors providers whose data coverage and product design can support that progression.

Software accounted for 62.13% of the supply chain control tower market size in 2025. This position underscores the importance of subscription platforms that organize visibility, workflows, and analysis in a single environment. Software revenue is concentrated among providers with established enterprise platforms and broad partner connections. Services are projected to grow at a 18.51% CAGR through 2031. The faster pace reflects demand for integration work, model tuning, and support for process changes. These needs differ from traditional implementation work because AI systems must be tailored to customer data and operating practices. Service teams can help users interpret exceptions and set rules for automated actions. Their work can influence whether a platform delivers reliable results after the first deployment.

The supply chain control tower market is moving toward service relationships that continue after the initial software go-live. O9 Solutions introduced its APEX model in March 2026 and reported 130+ successful go-lives and 28 consecutive quarters of ARR growth. Its deployment at Hormel Foods covered more than 70 manufacturing sites and linked demand and supply planning across dry and refrigerated networks. Such programs show why customers may view ongoing model work as part of operating a control tower rather than as a one-time project. Providers can use these engagements to improve data quality and adjust decision rules. Buyers should assess how service needs affect cost, internal skills, and the ability to change vendors. They should also separate work that builds reusable internal capability from work that creates continuing dependence on a provider. Clear service scope can help retain the benefits of a tailored platform without obscuring total ownership costs.

Complete Report Scope:

  • By Control Tower Type
    • Operational Control Towers
    • Analytical and Decision Support Control Towers
    • End-to-End Intelligent Control Towers
  • By Component
    • Software
    • Services
  • By Deployment Mode
    • Cloud
    • On-Premise
    • Hybrid
  • By End Use Enterprise Size
    • Large Enterprises
    • Small and Medium-Sized Enterprises
  • By End-User Industry
    • Retail and E-Commerce
    • Automotive and Industrial Manufacturing
    • Electronics and High Technology
    • Healthcare and Life Sciences
    • Food and Beverages
    • Chemicals
    • Aerospace and Defense
    • Third-Party Logistics and Freight Services
    • Pharmaceuticals
    • Consumer Goods
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Colombia
      • Rest of South America
    • Europe
      • Germany
      • United Kingdom
      • France
      • Italy
      • Spain
      • Russia
      • Nordics
      • Rest of Europe
    • Asia-Pacific
      • China
      • India
      • Japan
      • South Korea
      • Australia
      • Southeast Asia
      • New Zealand
      • Rest of Asia-Pacific
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Israel
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Egypt
      • Nigeria
      • Kenya
      • Rest of Africa

Geography Analysis

North America held 37.04% of the supply chain control tower market share in 2025. The region benefits from early adoption of cloud-based supply chain tools and the presence of several AI-focused platform providers. United States-headquartered multinationals manage complex international supplier, manufacturing, and logistics networks. That scale creates many exceptions and data relationships that can justify investment in a broad control tower. Buyers in the region also have experience with digital supply chain programs that started during the 2020 to 2022 pandemic period. South America remains an emerging geography with growing interest from omnichannel retailers in Brazil and Colombia. These companies want better coordination across fragmented, multimodal transport networks. Data infrastructure limitations and integration costs can still delay mid-market users' ability to realize value.

Europe has a more regulation-driven demand pattern for the supply chain control tower market. The Corporate Sustainability Reporting Directive and the Corporate Sustainability Due Diligence Directive were amended in March 2026. Their requirements strengthen the importance of supply-chain traceability and Scope 3 emissions information for affected companies. Control towers can help connect supplier data, shipment information, and product records needed for such reporting. Germany is a major source of regional demand because of its large industrial base. More than 50% of German logistics and manufacturing firms were actively scaling AI integration in supply chain operations during 2025 and 2026. Saudi Arabia and the United Arab Emirates are also investing in supply chain modernization around logistics hubs and multimodal trade flows.

Asia-Pacific is projected to grow at a 19.36% CAGR through 2031, the fastest regional rate. Manufacturing nearshoring, domestic platform development, and digital infrastructure investment in China, India, and Southeast Asia support this expansion. China has local technology companies that build proprietary supply chain orchestration layers, creating strong competition for international providers. India is attracting investment from multinationals developing supplier networks and from domestic manufacturers seeking stronger export capabilities. Nippon Express Holdings launched NX Lead Logistics Solutions with control tower functionality in 2025. Yamaha implemented a Domo-powered global logistics control tower system in January 2026. Africa is still at an early stage, where smartphone-based visibility tools and regional third-party logistics partnerships are building the data foundation for more extensive adoption.

  1. Blue Yonder Group, Inc.
  2. project44, Inc.
  3. FourKites, Inc.
  4. o9 Solutions, Inc.
  5. Shippeo SAS
  6. Wakeo SAS
  7. Everstream Analytics GmbH
  8. Interos Inc.
  9. Resilinc Corporation
  10. Altana Technologies, Inc.
  11. Infor (US), LLC
  12. SAP SE
  13. GEP Worldwide
  14. International Business Machines Corporation

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Demand for Real-Time End-to-End Supply Chain Visibility
    • 4.2.2 Intensifying Supply Chain Disruptions and Resilience Investment
    • 4.2.3 AI-Enabled Predictive Exception Management
    • 4.2.4 Cloud Migration and Multi-Enterprise Collaboration
    • 4.2.5 Product-Level Traceability and Carbon-Data Requirements
    • 4.2.6 Autonomous Execution Through Digital Twins and AI Agents
  • 4.3 Market Restraints
    • 4.3.1 Legacy-System Integration and Data Harmonization Costs
    • 4.3.2 Cybersecurity, Data Sovereignty, and Third-Party Data Exposure
    • 4.3.3 Explainability and Accountability Gaps in AI Recommendations
    • 4.3.4 Shortage of Supply Chain Data and Change-Management Specialists
  • 4.4 Impact of Macroeconomic Factors on the Market
  • 4.5 Industry Value Chain Analysis
  • 4.6 Regulatory Landscape
  • 4.7 Technological Outlook
  • 4.8 Porter's Five Forces Analysis
    • 4.8.1 Threat of New Entrants
    • 4.8.2 Bargaining Power of Suppliers
    • 4.8.3 Bargaining Power of Buyers
    • 4.8.4 Threat of Substitutes
    • 4.8.5 Competitive Rivalry
  • 4.9 Functional Capbility and Application Assessment
    • 4.9.1 Transportation and Logistics Visibility
    • 4.9.2 Inventory Visibility and Allocation
    • 4.9.3 Order Visibility and Fulfillment Monitoring
    • 4.9.4 Supply Chain Monitoring and Exception Management
    • 4.9.5 Supplier Risk and Procurement Visibility
    • 4.9.6 Compliance, Traceability and Sustainability
    • 4.9.7 Production and Manufacturing Visibility
    • 4.9.8 Returns and Reverse Logistics Visibility

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Control Tower Type
    • 5.1.1 Operational Control Towers
    • 5.1.2 Analytical and Decision Support Control Towers
    • 5.1.3 End-to-End Intelligent Control Towers
  • 5.2 By Component
    • 5.2.1 Software
    • 5.2.2 Services
  • 5.3 By Deployment Mode
    • 5.3.1 Cloud
    • 5.3.2 On-Premise
    • 5.3.3 Hybrid
  • 5.4 By End Use Enterprise Size
    • 5.4.1 Large Enterprises
    • 5.4.2 Small and Medium-Sized Enterprises
  • 5.5 By End-User Industry
    • 5.5.1 Retail and E-Commerce
    • 5.5.2 Automotive and Industrial Manufacturing
    • 5.5.3 Electronics and High Technology
    • 5.5.4 Healthcare and Life Sciences
    • 5.5.5 Food and Beverages
    • 5.5.6 Chemicals
    • 5.5.7 Aerospace and Defense
    • 5.5.8 Third-Party Logistics and Freight Services
    • 5.5.9 Pharmaceuticals
    • 5.5.10 Consumer Goods
  • 5.6 By Geography
    • 5.6.1 North America
      • 5.6.1.1 United States
      • 5.6.1.2 Canada
      • 5.6.1.3 Mexico
    • 5.6.2 South America
      • 5.6.2.1 Brazil
      • 5.6.2.2 Argentina
      • 5.6.2.3 Colombia
      • 5.6.2.4 Rest of South America
    • 5.6.3 Europe
      • 5.6.3.1 Germany
      • 5.6.3.2 United Kingdom
      • 5.6.3.3 France
      • 5.6.3.4 Italy
      • 5.6.3.5 Spain
      • 5.6.3.6 Russia
      • 5.6.3.7 Nordics
      • 5.6.3.8 Rest of Europe
    • 5.6.4 Asia-Pacific
      • 5.6.4.1 China
      • 5.6.4.2 India
      • 5.6.4.3 Japan
      • 5.6.4.4 South Korea
      • 5.6.4.5 Australia
      • 5.6.4.6 Southeast Asia
      • 5.6.4.7 New Zealand
      • 5.6.4.8 Rest of Asia-Pacific
    • 5.6.5 Middle East
      • 5.6.5.1 Saudi Arabia
      • 5.6.5.2 United Arab Emirates
      • 5.6.5.3 Israel
      • 5.6.5.4 Turkey
      • 5.6.5.5 Rest of Middle East
    • 5.6.6 Africa
      • 5.6.6.1 South Africa
      • 5.6.6.2 Egypt
      • 5.6.6.3 Nigeria
      • 5.6.6.4 Kenya
      • 5.6.6.5 Rest of Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
    • 6.4.1 Blue Yonder Group, Inc.
    • 6.4.2 project44, Inc.
    • 6.4.3 FourKites, Inc.
    • 6.4.4 o9 Solutions, Inc.
    • 6.4.5 Shippeo SAS
    • 6.4.6 Wakeo SAS
    • 6.4.7 Everstream Analytics GmbH
    • 6.4.8 Interos Inc.
    • 6.4.9 Resilinc Corporation
    • 6.4.10 Altana Technologies, Inc.
    • 6.4.11 Infor (US), LLC
    • 6.4.12 SAP SE
    • 6.4.13 GEP Worldwide
    • 6.4.14 International Business Machines Corporation

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-Space and Unmet-Need Assessment