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市場調查報告書
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1806627

供應鏈人工智慧市場（按組件、技術類型、部署模式、組織規模、應用和最終用戶分類）—2025 年至 2030 年全球預測

Artificial Intelligence in Supply Chain Market by Component, Technology Type, Deployment Mode, Organization Size, Application, End-User - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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預計2024年供應鏈人工智慧市場價值將達66.8億美元，2025年將成長至80.1億美元，複合年成長率為20.46%，到2030年將達到204.2億美元。

主要市場統計數據
基準年2024年 66.8億美元
預計2025年 80.1億美元
預測年份 2030 204.2億美元
複合年成長率（%） 20.46%

了解人工智慧如何透過提高企業的效率、彈性和策略決策來徹底改變供應鏈業務。

人工智慧與供應鏈流程的整合正在重塑企業規劃、執行和最佳化物流網路的方式。透過利用機器學習演算法、自然語言處理和先進的機器人技術，決策者現在可以前所未有地洞察需求模式、存量基準和運輸動態。

檢驗透過人工智慧整合重塑全球供應鏈藍圖的關鍵技術與業務轉變

過去十年，隨著企業紛紛擁抱數位技術以保持競爭力，供應鏈格局發生了翻天覆地的變化。如今，人工智慧正引領著這些變革，開啟數據主導決策和自主營運的新時代。從預測分析到認知自動化，物流和採購的本質正在重塑，以實現敏捷、精簡、更具韌性的價值鏈。

對 2025 年美國關稅如何重塑跨境供應鏈動態、推高營運成本和重新定義籌資策略的深入分析。

2025年美國新關稅的實施對跨境貿易產生了累積影響，迫使企業重新評估籌資策略和物流網路。關鍵原料和半成品的關稅上調增加了投入成本，迫使企業探索替代供應商和近岸外包選項。因此，供應鏈流程已被重新調整和設計，以降低財務風險。

分段分析揭示了服務、人工智慧技術、採用情況、公司規模、應用和最終用戶產業如何推動供應鏈中的人工智慧整合

細分分析揭示了市場參與企業對人工智慧供應鏈解決方案的清晰理解。基於服務和解決方案組件之間的差異對產品進行評估，發現諮詢服務、部署與整合以及支援與維護在整個計劃生命週期中各自提供專業化的價值。同時，解決方案組件為數據分析、認知自動化和整合編配提供了承包平台。

區域洞察重點介紹美洲、中東和非洲以及亞太地區在將人工智慧融入業務各自提供的不同前景和障礙

在美洲，對數位基礎設施的積極投資以及對回流和區域分銷網路的關注，正在推動人工智慧在供應鏈中的應用。北美公司正在利用人工智慧最佳化最後一英里的配送，提高倉庫自動化程度，並將即時需求感知整合到其業務框架中。在拉丁美洲，電子商務的興起和物流現代化的努力正在鼓勵更廣泛的人工智慧實驗，尤其是在低溫運輸監控和風險管理領域。

公司簡介揭示了行業主要企業如何採用人工智慧來提高供應鏈效率並創新服務交付以獲得競爭優勢

領先的技術供應商和物流提供者正在製定策略舉措，以搶佔不斷擴張的供應鏈人工智慧市場。 IBM 和微軟等全球公司持續透過專注於庫存最佳化和需求檢測的人工智慧模組來增強其雲端平台。同樣，亞馬遜網路服務和谷歌雲端也在大力投資邊緣運算和物聯網整合，以支援倉庫和運輸網路的即時決策。

為供應鏈領導者提供採用人工智慧、管理風險、推動創新、提高永續效率和彈性的實用建議

供應鏈領導者應首先制定與其核心業務目標相符的清晰 AI 策略，以便根據潛在影響和可行性確定使用案例的優先順序。需求預測、庫存最佳化和預測性維護等措施通常能夠快速帶來回報，並為更高級的功能奠定基礎。

全面的調查方法，概述主要和次要資料來源、同行評審的檢驗過程以及用於確保嚴謹性的分析框架

為了確保全面涵蓋供應鏈領域的人工智慧，本研究採用了嚴格的資料收集方法，結合了一手資料和二手資料。一手資料研究包括對行業高管、供應鏈從業者和技術專家的深入訪談，以收集關於採用促進因素、用例績效和實施挑戰的第一手見解。

關於人工智慧如何透過提高敏捷性、改善可視性和提升競爭優勢來重塑供應鏈業務的關鍵見解

該研究的主要見解凸顯了人工智慧在供應鏈管理各個方面的變革潛力：透過利用預測分析，公司可以前所未有地了解需求波動、庫存健康狀況和物流中斷情況，從而實現更準確、更靈活的營運。

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章 市場概述

第5章市場動態

  • 機器學習演算法的進步增強了供應商選擇和績效評估流程
  • 人工智慧對供應鏈業務中最後一哩交付和物流最佳化的影響日益增強
  • 自然語言處理的進步使供應商溝通與管理更加智慧
  • 開發支援人工智慧的數位雙胞胎來模擬和最佳化複雜的供應鏈網路
  • 利用先進的人工智慧預測分析最佳化需求預測和庫存管理
  • 支援人工智慧的區塊鏈實施，實現透明、安全的供應鏈交易
  • 發展人工智慧輔助永續性舉措，打造更環保、更符合道德的供應鏈
  • 利用人工智慧改善製造供應鏈中的品管和缺陷檢測
  • 將人工智慧融入即時供應鏈監控，以改善風險管理和中斷回應
  • 在倉庫管理和資產追蹤中引入人工智慧驅動的自動化

第6章 市場洞察

  • 波特五力分析
  • PESTEL分析

第7章 2025年美國關稅的累積影響

8. 供應鏈人工智慧市場（按組件）

  • 服務
    • 諮詢服務
    • 部署與整合
    • 支援和維護
  • 解決方案

9. 供應鏈市場中的人工智慧（依技術類型）

  • 深度學習
  • 自然語言處理
  • 機器人流程自動化

第 10 章供應鏈市場中的人工智慧（按部署模式）

  • 雲端基礎
    • 混合雲端
    • 私有雲端
    • 公共雲端
  • 本地
    • 資料中心
    • 本地伺服器

第 11 章。按組織規模分類的供應鏈市場中的人工智慧

  • 主要企業
  • 小型企業

第 12 章 供應鏈市場中的人工智慧應用

  • 車隊管理
    • 預測性維護
    • 路線最佳化
  • 貨運經紀
  • 風險管理
    • 合規性監控
    • 供應商風險評估
  • 供應鏈計劃
    • 需求預測
    • 採購最佳化
  • 倉庫管理
    • 庫存管理
    • 訂單履行

第 13 章 供應鏈市場中的人工智慧（按最終用戶）

  • 航太和國防
  • 車
  • 化學品
  • 食品/飲料
  • 醫療保健和製藥
  • 製造業
  • 零售與電子商務
  • 運輸/物流

14. 美國供應鏈人工智慧市場

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 阿根廷

15. 歐洲、中東和非洲地區供應鏈人工智慧市場

  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 阿拉伯聯合大公國
  • 沙烏地阿拉伯
  • 南非
  • 丹麥
  • 荷蘭
  • 卡達
  • 芬蘭
  • 瑞典
  • 奈及利亞
  • 埃及
  • 土耳其
  • 以色列
  • 挪威
  • 波蘭
  • 瑞士

16. 亞太地區供應鏈人工智慧市場

  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國
  • 印尼
  • 泰國
  • 菲律賓
  • 馬來西亞
  • 新加坡
  • 越南
  • 台灣

第17章競爭格局

  • 2024年市場佔有率分析
  • 2024年FPNV定位矩陣
  • 競爭分析
    • Accenture PLC
    • Alibaba Group
    • Amazon Web Services, Inc.
    • Berkshire Grey, Inc.
    • Blue Yonder Group, Inc.
    • Capgemini SE
    • Cisco Systems, Inc.
    • Coupa Software Inc.
    • Deutsche Post AG
    • e2open, LLC
    • Genpact Limited
    • Google LLC by Alphabet Inc.
    • Infosys Limited
    • Intel Corporation
    • International Business Machines Corporation
    • Kinaxis Inc.
    • Logility Supply Chain Solutions, Inc.
    • Manhattan Associates, Inc.
    • Micron Technology, Inc.
    • Microsoft Corporation
    • NVIDIA Corporation
    • Oracle Corporation
    • RELEX Oy
    • Robert Bosch GmbH
    • Salesforce, Inc.
    • SAP SE
    • Siemens AG
    • Tata Consultancy Services Limited
    • UiPath, Inc.
    • Workday, Inc.

第18章 研究人工智慧

第19章 研究統計

第20章 研究聯絡人

第21章 研究報導

第22章 附錄

Product Code: MRR-031BF22F9555

The Artificial Intelligence in Supply Chain Market was valued at USD 6.68 billion in 2024 and is projected to grow to USD 8.01 billion in 2025, with a CAGR of 20.46%, reaching USD 20.42 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 6.68 billion
Estimated Year [2025] USD 8.01 billion
Forecast Year [2030] USD 20.42 billion
CAGR (%) 20.46%

Discover how artificial intelligence is revolutionizing supply chain operations by driving efficiency, resilience, and strategic decision-making for enterprises

The integration of artificial intelligence into supply chain processes is reshaping how organizations plan, execute, and optimize their logistics networks. By leveraging machine learning algorithms, natural language processing, and advanced robotics, decision makers now have unprecedented visibility into demand patterns, inventory levels, and transportation dynamics.

Moreover, the convergence of IoT sensors and AI-powered analytics enables real-time tracking of assets from production lines to end customers, illuminating potential disruptions before they cascade into costly delays. Transitioning from reactive to proactive management, companies can now anticipate demand fluctuations, reroute shipments, and allocate resources with precision that was previously unattainable.

Furthermore, AI-driven automation is streamlining labor-intensive tasks such as warehouse sorting, order picking, and freight scheduling. Cognitive computing tools accelerate contract analysis and supplier selection by rapidly evaluating vast datasets, while predictive models guide preventive maintenance and avoid costly equipment failures.

Consequently, organizations embracing these technologies experience significant improvements in operational efficiency, risk mitigation, and strategic agility. As global supply chains grow more complex, the foundational role of artificial intelligence will continue to expand, unlocking new avenues for competitive differentiation and sustainable growth.

In this context, executive teams are increasingly prioritizing AI initiatives as core components of their digital transformation roadmaps. Investments in intelligent planning systems, autonomous vehicles, and AI-enabled collaboration platforms are now critical to sustaining end-to-end supply chain performance and meeting evolving customer expectations.

Examining the pivotal technological and operational shifts rewriting the blueprint of global supply chains through artificial intelligence integration

Over the past decade, the supply chain landscape has undergone seismic shifts as companies adopt digital technologies to remain competitive. Today, artificial intelligence stands at the forefront of these changes, ushering in a new era of data-driven decision making and autonomous operations. From predictive analytics to cognitive automation, the very fabric of logistics and procurement is being rewoven to deliver faster, leaner, and more resilient value chains.

Consequently, predictive and prescriptive analytics have emerged as powerful tools for demand forecasting and inventory optimization. By analyzing historical sales data alongside external factors like weather patterns and economic indicators, AI systems can recommend precise stocking levels and replenishment schedules. This data-centric approach reduces safety stock requirements and minimizes capital tied up in inventory.

Meanwhile, robotics and automation are redefining warehouse and distribution center workflows. Collaborative robots now perform order picking alongside human workers, accelerating throughput while reducing errors. Autonomous guided vehicles transport pallets across complex facilities, eliminating the need for manual towing and supporting continuous operations around the clock.

In parallel, digital twin models are providing virtual replicas of entire supply networks, allowing planners to simulate disruptions and test mitigation strategies before they unfold in the real world. Blockchain integration is enhancing traceability and trust, ensuring that provenance data is immutable and transparent across multi-party ecosystems.

Moreover, these technological advances are driving a profound workforce transformation. As repetitive tasks become automated, supply chain professionals are shifting toward strategic roles that require analytical expertise and cross-functional collaboration. Training programs and talent acquisition strategies are now evolving to bridge emerging skill gaps.

An insightful analysis of how the 2025 United States tariffs are reshaping cross-border supply chain dynamics, escalating operational costs, and redefining sourcing strategies

The introduction of new United States tariffs in 2025 has created a cumulative effect on cross-border trade, prompting organizations to reassess sourcing strategies and logistics networks. Tariff increases on key raw materials and intermediate goods have amplified input costs, compelling companies to explore alternative suppliers and nearshoring options. As a result, supply chain flows have been redirected and redesigned to mitigate financial exposure.

In response, many manufacturers and retailers are deploying AI-driven procurement platforms to rapidly analyze supplier performance, cost structures, and geopolitical risks. These systems can evaluate thousands of supplier profiles against updated tariff schedules, generating optimized sourcing recommendations in real time. Consequently, procurement cycles are shorter and more agile, enabling companies to pivot swiftly when trade policies shift.

Furthermore, transportation algorithms are recalibrating routing decisions to avoid high-tariff corridors. By integrating dynamic tariff data with shipment tracking systems, logistics managers can identify low-cost pathways and adjust carrier selections accordingly. This strategic rerouting not only reduces landed costs but also maintains service levels across global markets.

As tariff pressures persist, organizations are reconfiguring supply bases to localize production and distribution hubs. AI-enabled site selection models assess labor availability, infrastructure quality, and regulatory landscapes to determine optimal facility locations. This analytical rigor ensures that new plants or distribution centers align with long-term cost optimization and risk management objectives.

Ultimately, the combined impact of rising duties and AI adoption is fostering more resilient and flexible supply chains. Companies that harness intelligent analytics and automation are better positioned to absorb policy-induced disruptions and secure competitive advantage in an increasingly volatile trade environment.

Segmentation insights reveal how services, AI technologies, deployment, enterprise size, applications, and end-user industries drive AI integration in supply chains

Segmentation analysis reveals distinct patterns in how market participants engage with AI-enabled supply chain solutions. When evaluating offerings based on component distinctions between services and solutions, it becomes clear that consulting services, deployment and integration, and support and maintenance each deliver specialized value across project lifecycles. In parallel, solutions components provide turnkey platforms for data analytics, cognitive automation, and integration orchestration.

Turning to technology type segmentation, deep learning models are gaining traction for advanced demand forecasting and anomaly detection, while natural language processing tools are streamlining document processing and supplier communication. Robotics process automation is similarly establishing itself as a foundational technology for executing high-volume, rule-based tasks within warehouses and order management systems.

Deployment mode also shapes adoption patterns. Cloud-based environments-spanning hybrid cloud, private cloud, and public cloud-offer scalability and rapid deployment, making them attractive to organizations seeking flexible infrastructure. Conversely, on-premise implementations hosted in data centers or on local servers appeal to companies with stringent security requirements or legacy system dependencies.

Enterprise size further influences solution selection, with large enterprises prioritizing comprehensive enterprise resource planning integration and global visibility, while small and medium enterprises focus on modular, cost-effective platforms that can scale with growth.

Application segmentation underscores how fleet management use cases such as predictive maintenance and route optimization differ from freight brokerage requirements, which emphasize dynamic pricing and capacity matching. Risk management capabilities including compliance monitoring and supplier risk assessment stand apart from supply chain planning functions like demand forecasting and procurement optimization, while warehouse management demands robust inventory management and order fulfillment solutions. In all cases, end-user industries-from aerospace and defense through automotive, chemicals, food and beverages, healthcare and pharmaceuticals, manufacturing, retail and e-commerce, to transportation and logistics-dictate specific functional and performance criteria that drive solution configuration and implementation approaches.

Regional insights spotlighting how the Americas, Europe Middle East and Africa, and Asia-Pacific regions each offer distinct prospects and hurdles in integrating AI across operations

Across the Americas, artificial intelligence adoption in supply chains is being propelled by robust investment in digital infrastructure and a strong emphasis on reshoring and regional distribution networks. Companies in North America are leveraging AI to optimize last-mile delivery, enhance warehouse automation, and integrate real-time demand sensing into their operational frameworks. In Latin America, growing e-commerce penetration and logistics modernization initiatives are encouraging broader AI experimentation, particularly in cold chain monitoring and risk management.

In Europe, Middle East and Africa, regulatory pressures around sustainability and supply chain transparency are accelerating AI-driven traceability solutions. Firms are combining sensor networks with machine learning to monitor emissions, enforce ethical sourcing, and comply with evolving environmental, social and governance mandates. Meanwhile, logistics hubs in the Gulf region are adopting autonomous port operations and AI-enabled customs clearance to streamline complex cross-border flows.

Asia-Pacific markets are experiencing rapid growth in AI-powered supply chain applications, driven by advanced manufacturing centers in China, robotics integration in Japan, and digital logistics platforms in Southeast Asia. Public and private partnerships are funding smart corridor projects that connect production clusters with major ports, underpinned by AI algorithms for capacity planning and predictive maintenance of critical infrastructure.

Transitioning between these regions, global enterprises are developing hybrid network strategies that blend regional strengths with centralized oversight. By leveraging AI analytics platforms, organizations can harmonize data streams across the Americas, EMEA, and Asia-Pacific, creating a unified view of inventory, demand forecasts, and transportation status. This regional balancing act ultimately drives resilience, reduces lead times, and supports strategic growth in diverse market contexts.

Company profiles revealing how top industry players deploy AI to enhance supply chain efficiency and innovate service offerings for competitive advantage

Leading technology vendors and logistics providers are forging strategic initiatives to capture the expanding AI in supply chain market. Global enterprises such as IBM and Microsoft continue to enhance their cloud platforms with specialized AI modules for inventory optimization and demand sensing. Similarly, Amazon Web Services and Google Cloud are investing heavily in edge computing and IoT integrations to support real-time decision making in warehouses and transportation networks.

Enterprise resource planning leaders like SAP and Oracle are embedding AI-driven predictive analytics into core business suites, enabling tighter alignment between procurement, production planning, and distribution. Meanwhile, logistics giants including DHL and Maersk are launching innovation labs to pilot autonomous last-mile solutions, digital twin simulations, and blockchain-enabled freight tracking to elevate service reliability and reduce operational bottlenecks.

In parallel, a wave of specialized startups is emerging to address niche demands such as real-time carbon footprint tracking, AI-assisted supplier qualification, and dynamic pricing optimization for freight brokerage. These agile entrants often partner with established firms to accelerate development cycles and integrate seamlessly into broader supply chain ecosystems.

Collectively, these activities illustrate a vibrant competitive landscape in which established players leverage scale and integration expertise while emerging companies drive focused innovation. Collaboration between technology providers, logistics operators, and end users is critical to developing interoperable solutions that can adapt to evolving market and regulatory requirements.

Practical recommendations to help supply chain leaders implement AI, manage risk, foster innovation, and drive sustainable efficiency and resilience

Supply chain leaders should begin by developing a clear AI strategy aligned with core business objectives, ensuring that use cases are prioritized based on potential impact and feasibility. Initiatives such as demand forecasting, inventory optimization, and predictive maintenance often deliver rapid returns and provide a foundation for more advanced capabilities.

Organizations must also invest in data governance and infrastructure modernization to support AI adoption. Implementing standardized data models and ensuring data quality across procurement, logistics, and manufacturing systems lays the groundwork for reliable analytics and automation. As part of this effort, companies should evaluate deployment options-cloud, on-premise, or hybrid-to balance scalability, security, and compliance requirements.

Furthermore, cultivating cross-functional teams that blend domain expertise with data science skills is crucial. Embedding AI talent within supply chain, IT, and operations units fosters collaboration and enables rapid prototyping of proof of concept pilots. These agile experiments can validate assumptions, refine algorithms, and build stakeholder confidence before scaling solutions enterprise-wide.

Risk management should not be overlooked: integrating AI risk frameworks and continuous monitoring processes helps mitigate biases, cybersecurity vulnerabilities, and model drift. Establishing ethical AI guidelines and governance committees ensures that automation initiatives align with organizational values and regulatory standards.

Finally, companies should adopt a cycle of continuous improvement, leveraging performance metrics to iterate on algorithms and workflows. By measuring outcomes such as cost savings, service level improvements, and lead time reductions, supply chain leaders can create a learning organization that evolves with changing market conditions and technological advances.

Comprehensive research methodology outlining primary and secondary data sources, expert validation processes, and analytical frameworks employed to ensure rigor

This research relies on a rigorous combination of primary and secondary data collection methods to ensure comprehensive coverage of the AI in supply chain domain. Primary research involved in-depth interviews with industry executives, supply chain practitioners, and technology experts to gather firsthand insights on adoption drivers, use case performance, and implementation challenges.

Secondary research encompassed the review of trade journals, white papers, regulatory documents, and corporate disclosures to validate market trends and identify emerging solution providers. Key data sources included publicly available financial filings, patent databases, and industry associations focused on logistics and digital transformation.

Analytical frameworks such as SWOT analysis, Porter's Five Forces, and value chain mapping were employed to assess competitive dynamics and solution positioning. Data triangulation techniques cross-checked multiple information streams to bolster the reliability and accuracy of the findings.

Expert validation sessions were conducted with seasoned supply chain consultants and academic scholars to refine assumptions and interpret complex datasets. This iterative process of feedback and revision ensures that the report's conclusions reflect both practitioner experience and empirical evidence.

In addition, proprietary models were utilized to analyze adoption maturity, technology penetration, and risk factors, providing a structured approach to quantifying readiness levels across different industry segments and geographies.

Key insights on how AI reshapes supply chain operations by boosting agility, improving visibility, and driving competitive advantage

Key insights from this research underscore the transformative potential of artificial intelligence across all facets of supply chain management. By harnessing predictive analytics, organizations are attaining unprecedented visibility into demand fluctuations, inventory health, and logistical disruptions, enabling them to operate with greater precision and speed.

Automation through robotics and autonomous systems is freeing teams from repetitive tasks and allowing them to focus on strategic initiatives. Digital twin and blockchain technologies enhance resilience by simulating disruption scenarios and ensuring data integrity across multi-party networks.

The cumulative impact of new trade policies, particularly the 2025 U.S. tariffs, highlights the imperative for agile and intelligent supply chains. Artificial intelligence platforms equipped with real-time tariff data and advanced optimization algorithms are proving vital in navigating cost pressures and reshaping sourcing networks.

Segmented insights reveal that deployment mode, enterprise size, technology type, and end-user industry each influence adoption trajectories and solution requirements. Meanwhile, regional variations in regulatory landscapes, infrastructure maturity, and investment climates shape market entry strategies and partnership models.

Moving forward, companies that integrate AI into their core operations, build robust data foundations, and foster cross-functional collaboration will secure a competitive advantage. These leaders will set new benchmarks for supply chain agility, sustainability, and customer satisfaction in an increasingly complex global environment.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

  • 4.1. Introduction
  • 4.2. Market Sizing & Forecasting

5. Market Dynamics

  • 5.1. Advancement in machine learning algorithms enhacing supplier selection and performance evaluation processes
  • 5.2. Increasing impact of AI on optimizing last-mile delivery and logistics in supply chain operations
  • 5.3. Advancements in natural language processing enabling smarter supplier communication and management
  • 5.4. Development of AI-enabled digital twins to simulate and optimize complex supply chain networks
  • 5.5. Advanced predictive analytics powered by AI optimizing demand forecasting and inventory management
  • 5.6. Implementing AI-enabled blockchain for transparent and secure supply chain transactions
  • 5.7. Developing AI-supported sustainability initiatives for greener and more ethical supply chains
  • 5.8. Utilizing AI for improved quality control and defect detection in manufacturing supply chains
  • 5.9. AI integration in real-time supply chain monitoring for enhanced risk management and disruption response
  • 5.10. Adoption of AI-driven automation in warehouse management and asset tracking

6. Market Insights

  • 6.1. Porter's Five Forces Analysis
  • 6.2. PESTLE Analysis

7. Cumulative Impact of United States Tariffs 2025

8. Artificial Intelligence in Supply Chain Market, by Component

  • 8.1. Introduction
  • 8.2. Services
    • 8.2.1. Consulting Services
    • 8.2.2. Deployment & Integration
    • 8.2.3. Support & Maintenance
  • 8.3. Solutions

9. Artificial Intelligence in Supply Chain Market, by Technology Type

  • 9.1. Introduction
  • 9.2. Deep Learning
  • 9.3. Natural Language Processing
  • 9.4. Robotics Process Automation

10. Artificial Intelligence in Supply Chain Market, by Deployment Mode

  • 10.1. Introduction
  • 10.2. Cloud-Based
    • 10.2.1. Hybrid Cloud
    • 10.2.2. Private Cloud
    • 10.2.3. Public Cloud
  • 10.3. On-Premise
    • 10.3.1. Data Centers
    • 10.3.2. Local Servers

11. Artificial Intelligence in Supply Chain Market, by Organization Size

  • 11.1. Introduction
  • 11.2. Large Enterprises
  • 11.3. Small & Medium Enterprises

12. Artificial Intelligence in Supply Chain Market, by Application

  • 12.1. Introduction
  • 12.2. Fleet Management
    • 12.2.1. Predictive Maintenance
    • 12.2.2. Route Optimization
  • 12.3. Freight Brokerage
  • 12.4. Risk Management
    • 12.4.1. Compliance Monitoring
    • 12.4.2. Supplier Risk Assessment
  • 12.5. Supply Chain Planning
    • 12.5.1. Demand Forecasting
    • 12.5.2. Procurement Optimization
  • 12.6. Warehouse Management
    • 12.6.1. Inventory Management
    • 12.6.2. Order Fulfillment

13. Artificial Intelligence in Supply Chain Market, by End-User

  • 13.1. Introduction
  • 13.2. Aerospace & Defense
  • 13.3. Automotive
  • 13.4. Chemicals
  • 13.5. Food & Beverages
  • 13.6. Healthcare and Pharmaceuticals
  • 13.7. Manufacturing
  • 13.8. Retail & E-Commerce
  • 13.9. Transportation & Logistics

14. Americas Artificial Intelligence in Supply Chain Market

  • 14.1. Introduction
  • 14.2. United States
  • 14.3. Canada
  • 14.4. Mexico
  • 14.5. Brazil
  • 14.6. Argentina

15. Europe, Middle East & Africa Artificial Intelligence in Supply Chain Market

  • 15.1. Introduction
  • 15.2. United Kingdom
  • 15.3. Germany
  • 15.4. France
  • 15.5. Russia
  • 15.6. Italy
  • 15.7. Spain
  • 15.8. United Arab Emirates
  • 15.9. Saudi Arabia
  • 15.10. South Africa
  • 15.11. Denmark
  • 15.12. Netherlands
  • 15.13. Qatar
  • 15.14. Finland
  • 15.15. Sweden
  • 15.16. Nigeria
  • 15.17. Egypt
  • 15.18. Turkey
  • 15.19. Israel
  • 15.20. Norway
  • 15.21. Poland
  • 15.22. Switzerland

16. Asia-Pacific Artificial Intelligence in Supply Chain Market

  • 16.1. Introduction
  • 16.2. China
  • 16.3. India
  • 16.4. Japan
  • 16.5. Australia
  • 16.6. South Korea
  • 16.7. Indonesia
  • 16.8. Thailand
  • 16.9. Philippines
  • 16.10. Malaysia
  • 16.11. Singapore
  • 16.12. Vietnam
  • 16.13. Taiwan

17. Competitive Landscape

  • 17.1. Market Share Analysis, 2024
  • 17.2. FPNV Positioning Matrix, 2024
  • 17.3. Competitive Analysis
    • 17.3.1. Accenture PLC
    • 17.3.2. Alibaba Group
    • 17.3.3. Amazon Web Services, Inc.
    • 17.3.4. Berkshire Grey, Inc.
    • 17.3.5. Blue Yonder Group, Inc.
    • 17.3.6. Capgemini SE
    • 17.3.7. Cisco Systems, Inc.
    • 17.3.8. Coupa Software Inc.
    • 17.3.9. Deutsche Post AG
    • 17.3.10. e2open, LLC
    • 17.3.11. Genpact Limited
    • 17.3.12. Google LLC by Alphabet Inc.
    • 17.3.13. Infosys Limited
    • 17.3.14. Intel Corporation
    • 17.3.15. International Business Machines Corporation
    • 17.3.16. Kinaxis Inc.
    • 17.3.17. Logility Supply Chain Solutions, Inc.
    • 17.3.18. Manhattan Associates, Inc.
    • 17.3.19. Micron Technology, Inc.
    • 17.3.20. Microsoft Corporation
    • 17.3.21. NVIDIA Corporation
    • 17.3.22. Oracle Corporation
    • 17.3.23. RELEX Oy
    • 17.3.24. Robert Bosch GmbH
    • 17.3.25. Salesforce, Inc.
    • 17.3.26. SAP SE
    • 17.3.27. Siemens AG
    • 17.3.28. Tata Consultancy Services Limited
    • 17.3.29. UiPath, Inc.
    • 17.3.30. Workday, Inc.

18. ResearchAI

19. ResearchStatistics

20. ResearchContacts

21. ResearchArticles

22. Appendix

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET RESEARCH PROCESS
  • FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2024 VS 2030 (%)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2030 (%)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2024 VS 2030 (%)
  • FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 17. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 18. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 19. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 20. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 23. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 24. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 25. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 26. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, FPNV POSITIONING MATRIX, 2024
  • FIGURE 27. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET: RESEARCHAI
  • FIGURE 28. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET: RESEARCHSTATISTICS
  • FIGURE 29. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET: RESEARCHCONTACTS
  • FIGURE 30. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET: RESEARCHARTICLES

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, 2025-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT & INTEGRATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT & INTEGRATION, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPORT & MAINTENANCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPORT & MAINTENANCE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SOLUTIONS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SOLUTIONS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEEP LEARNING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ROBOTICS PROCESS AUTOMATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ROBOTICS PROCESS AUTOMATION, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY HYBRID CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY HYBRID CLOUD, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PRIVATE CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PRIVATE CLOUD, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PUBLIC CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PUBLIC CLOUD, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DATA CENTERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DATA CENTERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY LOCAL SERVERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY LOCAL SERVERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ROUTE OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ROUTE OPTIMIZATION, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FREIGHT BROKERAGE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FREIGHT BROKERAGE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPLIANCE MONITORING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPLIANCE MONITORING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLIER RISK ASSESSMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLIER RISK ASSESSMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEMAND FORECASTING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEMAND FORECASTING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PROCUREMENT OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY PROCUREMENT OPTIMIZATION, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
  • TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORDER FULFILLMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORDER FULFILLMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 95. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 97. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 99. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CHEMICALS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CHEMICALS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 101. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FOOD & BEVERAGES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FOOD & BEVERAGES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 103. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY HEALTHCARE AND PHARMACEUTICALS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY HEALTHCARE AND PHARMACEUTICALS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 105. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY MANUFACTURING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 107. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RETAIL & E-COMMERCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RETAIL & E-COMMERCE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 109. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 111. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 112. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 113. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 114. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 115. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 116. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 117. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 118. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 119. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
  • TABLE 120. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
  • TABLE 121. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
  • TABLE 122. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
  • TABLE 123. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 124. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 125. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 126. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 127. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 128. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 129. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 130. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 131. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
  • TABLE 132. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
  • TABLE 133. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 134. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 135. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 136. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 137. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 138. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 139. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 140. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 141. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 142. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 143. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 144. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 145. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 146. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 147. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
  • TABLE 148. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
  • TABLE 149. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
  • TABLE 150. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
  • TABLE 151. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 152. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 153. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 154. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 155. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 156. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 157. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 158. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 159. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
  • TABLE 160. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
  • TABLE 161. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 162. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 163. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 164. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 165. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY STATE, 2018-2024 (USD MILLION)
  • TABLE 166. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY STATE, 2025-2030 (USD MILLION)
  • TABLE 167. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 168. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 169. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 170. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 171. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 172. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 173. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 174. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 175. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
  • TABLE 176. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
  • TABLE 177. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
  • TABLE 178. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
  • TABLE 179. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 180. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 181. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 182. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 183. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 184. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 185. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 186. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 187. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
  • TABLE 188. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
  • TABLE 189. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 190. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 191. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 192. CANADA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 193. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 194. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 195. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 196. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 197. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 198. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 199. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 200. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 201. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
  • TABLE 202. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
  • TABLE 203. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
  • TABLE 204. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
  • TABLE 205. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 206. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 207. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 208. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 209. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 210. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 211. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 212. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 213. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
  • TABLE 214. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
  • TABLE 215. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 216. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 217. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 218. MEXICO ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 219. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 220. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 221. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 222. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 223. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 224. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 225. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 226. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 227. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
  • TABLE 228. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
  • TABLE 229. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
  • TABLE 230. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
  • TABLE 231. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 232. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 233. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 234. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 235. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 236. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 237. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 238. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 239. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
  • TABLE 240. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
  • TABLE 241. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 242. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 243. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 244. BRAZIL ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 245. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 246. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 247. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 248. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 249. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 250. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 251. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 252. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 253. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2018-2024 (USD MILLION)
  • TABLE 254. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY CLOUD-BASED, 2025-2030 (USD MILLION)
  • TABLE 255. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2018-2024 (USD MILLION)
  • TABLE 256. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ON-PREMISE, 2025-2030 (USD MILLION)
  • TABLE 257. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 258. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 259. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 260. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 261. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 262. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY FLEET MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 263. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 264. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY RISK MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 265. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2018-2024 (USD MILLION)
  • TABLE 266. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SUPPLY CHAIN PLANNING, 2025-2030 (USD MILLION)
  • TABLE 267. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2018-2024 (USD MILLION)
  • TABLE 268. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY WAREHOUSE MANAGEMENT, 2025-2030 (USD MILLION)
  • TABLE 269. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 270. ARGENTINA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY END-USER, 2025-2030 (USD MILLION)
  • TABLE 271. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 272. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 273. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 274. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 275. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 276. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2030 (USD MILLION)
  • TABLE 277. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MI