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2026年全球供應鏈視覺與人工智慧市場報告

Supply Chain Visibility Artificial Intelligence Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，用於供應鏈視覺化的人工智慧（AI）市場發展迅速。預計該市場規模將從2025年的70.8億美元成長到2026年的83.6億美元，複合年成長率（CAGR）為18.1%。這一成長主要歸因於企業資源計劃（ERP）系統的日益普及、供應鏈全球化程度的提高、庫存最佳化需求的成長、電子商務物流網路的擴張以及整個供應商網路缺乏即時可視性等因素。

預計未來幾年，供應鏈視覺化人工智慧 (AI) 市場將快速成長，到 2030 年將達到 164 億美元，複合年成長率 (CAGR) 為 18.4%。這一成長將由以下因素驅動：對即時、端到端供應鏈透明度的需求不斷成長；AI 驅動的預測分析工具的廣泛應用；物聯網 (IoT) 追蹤設備的日益普及；基於雲端的供應鏈平台不斷擴展；以及對供應鏈韌性和風險緩解策略的日益重視。預測期內的關鍵趨勢包括：更多地採用預測性中斷檢測模型來主動降低供應鏈風險；更多地使用即時運輸追蹤儀錶板來實現端到端的物流透明度；更多地使用 AI 驅動的需求預測來提高庫存準確性；更多地整合數位孿生技術以進行供應鏈模擬和最佳化；以及更多地採用自動化異常管理系統來實現對中斷的快速響應。

雲端供應鏈平台的日益普及預計將推動供應鏈可視性人工智慧市場的成長。雲端供應鏈平台是基於網際網路的系統，它允許企業透過存取即時數據來管理和最佳化採購、倉儲、運輸和配送等供應鏈活動。這種普及的驅動力源於對即時視覺性日益成長的需求，因為企業需要即時存取庫存、物流和營運數據，以改善決策、提高效率並快速應對供應鏈中斷。雲端供應鏈平台的廣泛應用正在推動供應鏈視覺化人工智慧市場的成長，因為它能夠實現跨複雜供應鏈網路的即時資料交換、集中監控和高級人工智慧驅動的分析。例如，總部位於美國的醫療保健SaaS公司Global Healthcare Exchange LLC在2023年9月預測，到2026年，近70%的醫院和醫療保健系統將採用雲端供應鏈管理解決方案，從而改善決策、提高營運效率和靈活性、降低成本、增強資料安全性和隱私性，並簡化整體流程。因此，基於雲端的供應鏈平台的日益普及正在推動供應鏈可視化人工智慧市場的成長。

供應鏈視覺化人工智慧市場的領導者正致力於開發創新解決方案，例如生成式人工智慧驅動的可視化助手，以增強即時決策能力、提高貨物追蹤的準確性並實現供應鏈的自主運作。生成式人工智慧驅動的視覺化助手是一種人工智慧系統，它利用生成模型來解讀供應鏈數據，並提供關於貨物狀態、風險和績效的即時對話式洞察和預測。例如，2023年4月，總部位於美國的供應鏈技術公司project44 Inc.發布了Movement GPT，這是一款整合到其Movement平台中的生成式人工智慧助理。該解決方案基於涵蓋全球數十億個貨物數據點的龐巨量資料集構建，使用戶能夠以自然語言查詢供應鏈數據、生成預測性洞察並自動執行日常物流分析。它旨在透過將視覺化數據與先進的生成式人工智慧功能相結合，提高供應鏈的應對力、減少人工數據解讀並支援向自主物流生態系統的轉型。

目錄

第1章執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球供應鏈視覺化與人工智慧市場：吸引力評分及分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單：主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章：全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧和自主智慧
    • 物聯網、智慧基礎設施、互聯生態系統
    • 數位化、雲端運算、巨量資料、網路安全
    • 工業4.0和智慧製造
    • 自主系統、機器人、智慧運輸
  • 主要趨勢
    • 擴大預測性中斷偵測模型的應用範圍，以主動降低供應鏈風險。
    • 即時物流追蹤儀錶板的使用正在不斷擴展，以提高階到端物流的透明度。
    • 為了提高庫存準確性，對人工智慧驅動的需求預測的需求日益成長。
    • 擴大數位孿生技術在供應鏈模擬和最佳化的應用。
    • 為了快速應對突發事件，自動化異常管理系統的應用正在不斷擴大。

第5章 終端用戶產業市場分析

  • 零售與電子商務
  • 製造業
  • 醫療和藥品
  • 車
  • 物流/運輸

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球供應鏈視覺化與人工智慧市場：PESTEL 分析
  • 全球供應鏈視覺化與人工智慧市場：規模、對比和成長率分析
  • 全球供應鏈視覺化與人工智慧市場表現：規模與成長，2020-2025年
  • 全球供應鏈視覺化與人工智慧市場預測：規模與成長，2025-2030年，2035年

第8章：全球市場總規模（TAM）

第9章 市場細分

  • 按組件
  • 軟體、硬體和服務
  • 部署模式
  • 雲端，本地部署
  • 按公司規模
  • 大型企業、中小企業
  • 透過使用
  • 庫存管理、風險管理、訂單管理、物流和運輸視覺、供應商管理、合規性和報告以及其他用途。
  • 按最終用戶行業分類
  • 零售與電子商務、製造業、醫療保健與製藥業、汽車業、食品飲料業、物流與運輸業、消費品業及其他終端用戶產業
  • 按類型細分：軟體
  • 供應鏈視覺化軟體、預測分析軟體、運輸管理軟體、倉庫管理軟體、路線最佳化軟體、需求預測軟體
  • 按類型細分：硬體
  • 無線射頻識別 (RFID) 設備、全球定位系統 (GPS) 設備、感測器和物聯網 (IoT) 設備、條碼掃描器、遠端資訊處理設備、工業電腦和通訊硬體。
  • 按類型細分：服務
  • 實施和整合服務、諮詢服務、支援和維護服務、託管服務、培訓和教育服務、分析和最佳化服務

第10章 市場與產業指標：依國家分類

第11章 區域與國別分析

第12章 亞太市場

第13章：中國市場

第14章：印度市場

第15章：日本市場

第16章：澳洲市場

第17章：印尼市場

第18章：韓國市場

第19章 台灣市場

第20章：東南亞市場

第21章 西歐市場

第22章英國市場

第23章：德國市場

第24章：法國市場

第25章：義大利市場

第26章：西班牙市場

第27章 東歐市場

第28章：俄羅斯市場

第29章 北美市場

第30章：美國市場

第31章：加拿大市場

第32章：南美洲市場

第33章：巴西市場

第34章 中東市場

第35章：非洲市場

第36章 市場監理與投資環境

第37章：競爭格局與公司概況

  • 供應鏈視覺化與人工智慧市場：競爭格局與市場佔有率，2024 年
  • 供應鏈視覺化與人工智慧市場：企業估值矩陣
  • 供應鏈視覺化與人工智慧市場：公司概況
    • International Business Machines Corporation
    • Microsoft
    • Oracle Corporation
    • SAP SE
    • C3.ai

第38章 其他大型企業和創新企業

  • Zebra Technologies Corporation, Infor Inc., Blue Yonder Group Inc., Manhattan Associates Inc., E2open Parent Holdings Inc., Coupa Software Inc., Descartes Systems Group Inc., o9 Solutions Inc., Kinaxis Inc., Project44 Inc., FourKites Inc., Samsara Inc., ParkourSC, WiseTech Global, Overhaul Group Inc.

第39章 全球市場競爭基準分析與儀錶板

第40章：預計進入市場的新創企業

第41章 重大併購

第42章 具有高市場潛力的國家、細分市場與策略

  • 2030年供應鏈視覺性與人工智慧市場：提供新機會的國家
  • 2030年供應鏈視覺性與人工智慧市場：提供新機會的細分市場
  • 供應鏈視覺性與人工智慧市場（2030 年）：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第43章附錄

簡介目錄
Product Code: IT4MSCVA01_G26Q2

Supply chain visibility artificial intelligence refers to the application of AI-driven technologies, including machine learning, predictive analytics, and real-time data analysis, to monitor and track the flow of goods, information, and resources throughout the supply chain. It allows organizations to achieve comprehensive end-to-end visibility, detect potential disruptions in advance, and enhance decision-making processes for more efficient and responsive supply chain management.

The primary components of supply chain visibility artificial intelligence consist of software, hardware, and services. Software encompasses AI-powered platforms designed to monitor, evaluate, and enhance supply chain activities in real time. These solutions are implemented through cloud-based and on-premises deployment models and are utilized by organizations of varying sizes, including large enterprises and small and medium-sized enterprises. The major applications include inventory management, risk management, order management, logistics and transportation visibility, supplier management, compliance and reporting, and others, while the end-user industries comprise retail and e-commerce, manufacturing, healthcare and pharmaceuticals, automotive, food and beverage, logistics and transportation, consumer goods, and others.

Tariffs are influencing the supply chain visibility artificial intelligence market by raising the cost of hardware components such as sensors, RFID devices, GPS modules, and IoT-enabled tracking systems used for real-time data capture. This is slowing deployment of advanced visibility platforms across logistics and manufacturing networks, especially in import-dependent regions such as Asia-Pacific and Latin America. Software and cloud-based analytics segments are also indirectly affected due to delayed hardware integration and higher infrastructure costs. However, tariffs are encouraging regional manufacturing of tracking devices, diversification of supplier ecosystems, and faster adoption of cloud-native AI solutions to reduce reliance on imported hardware and strengthen supply chain resilience.

The supply chain visibility artificial intelligence market size has grown rapidly in recent years. It will grow from $7.08 billion in 2025 to $8.36 billion in 2026 at a compound annual growth rate (CAGR) of 18.1%. The growth in the historic period can be attributed to growing adoption of enterprise resource planning systems, increasing globalization of supply chains, rising need for inventory optimization, expansion of e commerce logistics networks, limited real time visibility across supplier networks.

The supply chain visibility artificial intelligence market size is expected to see rapid growth in the next few years. It will grow to $16.4 billion in 2030 at a compound annual growth rate (CAGR) of 18.4%. The growth in the forecast period can be attributed to increasing demand for real time end to end supply chain transparency, rising adoption of AI powered predictive analytics tools, growing integration of iot enabled tracking devices, expansion of cloud based supply chain platforms, increasing focus on supply chain resilience and risk mitigation strategies. Major trends in the forecast period include increasing adoption of predictive disruption detection models for proactive supply chain risk mitigation, growing use of real-time shipment tracking dashboards for end-to-end logistics transparency, rising demand for AI-driven demand sensing to improve inventory accuracy, expanding integration of digital twin technology for supply chain simulation and optimization, increasing deployment of automated exception management systems for faster disruption response.

The growing adoption of cloud-based supply chain platforms is expected to drive the growth of the supply chain visibility artificial intelligence market going forward. Cloud-based supply chain platforms are internet-based systems that enable businesses to manage and optimize supply chain activities such as procurement, storage, transportation, and distribution by accessing real-time data. The rising adoption of cloud-based supply chain platforms is driven by the increasing demand for real-time visibility, as businesses require immediate access to inventory, logistics, and operational data to improve decision-making, boost efficiency, and respond swiftly to supply chain disruptions. The increasing deployment of cloud-based supply chain platforms is enhancing the growth of supply chain visibility artificial intelligence by enabling real-time data exchange, centralized monitoring, and advanced AI-driven analytics across complex supply chain networks. For instance, in September 2023, according to the Global Healthcare Exchange LLC, a US-based healthcare SaaS company, nearly 70% of hospitals and health systems are expected to adopt cloud-based supply chain management solutions by 2026, enabling them to improve decision-making, enhance operational efficiency and agility, lower costs, strengthen data security and privacy, and streamline overall processes. Therefore, the growing adoption of cloud-based supply chain platforms is driving the growth of the supply chain visibility artificial intelligence market.

Leading companies operating in supply chain visibility artificial intelligence markets are focusing on developing innovative solutions, such as generative artificial intelligence-powered visibility assistants to enhance real-time decision-making, improve shipment tracking accuracy, and enable autonomous supply chain operations. Generative artificial intelligence-powered visibility assistants are AI systems that use generative models to interpret supply chain data and provide real-time, conversational insights and predictions about shipment status, risks, and performance. For example, in April 2023, project44 Inc., a US-based supply chain technology company, launched Movement GPT, a generative AI assistant integrated into its Movement platform. The solution is built on a massive dataset covering billions of shipments globally and enables users to query supply chain data in natural language, generate predictive insights, and automate routine logistics analysis. It is designed to improve supply chain responsiveness, reduce manual data interpretation, and support the transition toward autonomous logistics ecosystems by combining visibility data with advanced generative AI capabilities.

In April 2023, Trimble Inc., a US-based industrial technology and transportation software company, acquired Transporeon for an undisclosed amount. Through this acquisition, Trimble aims to enhance its global transportation management and supply chain visibility capabilities by integrating Transporeon's cloud-based freight network, real-time logistics execution, and visibility solutions into its transportation platform. Transporeon GmbH is a Germany-based company offering AI-powered supply chain visibility software.

Major companies operating in the supply chain visibility artificial intelligence market are International Business Machines Corporation; Microsoft; Oracle Corporation; SAP SE; C3.ai; Zebra Technologies Corporation; Infor Inc.; Blue Yonder Group Inc.; Manhattan Associates Inc.; E2open Parent Holdings Inc.; Coupa Software Inc.; Descartes Systems Group Inc.; o9 Solutions Inc.; Kinaxis Inc.; Project44 Inc.; FourKites Inc.; Samsara Inc.; ParkourSC; WiseTech Global; Overhaul Group Inc.; Tive Inc.; Roambee Corporation; Shippeo SAS

North America was the largest region in the supply chain visibility artificial intelligence market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the supply chain visibility artificial intelligence market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the supply chain visibility artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The supply chain visibility artificial intelligence market consists of revenues earned by entities by providing services such as real-time shipment tracking, predictive delay and demand analytics, system integration, and data orchestration. The market value includes the value of related goods sold by the service provider or included within the service offering. The supply chain visibility artificial intelligence market also includes sales of IoT sensors, temperature monitoring sensors, humidity sensors, shock and vibration sensors, telematics devices, and asset tracking tags. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

The supply chain visibility artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides supply chain visibility artificial intelligence market statistics, including supply chain visibility artificial intelligence industry global market size, regional shares, competitors with a supply chain visibility artificial intelligence market share, detailed supply chain visibility artificial intelligence market segments, market trends and opportunities, and any further data you may need to thrive in the supply chain visibility artificial intelligence industry. This supply chain visibility artificial intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Supply Chain Visibility Artificial Intelligence Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses supply chain visibility artificial intelligence market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for supply chain visibility artificial intelligence ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The supply chain visibility artificial intelligence market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Component: Software; Hardware; Services
  • 2) By Deployment Mode: Cloud; On Premises
  • 3) By Enterprise Size: Large Enterprises; Small And Medium Enterprises
  • 4) By Application: Inventory Management; Risk Management; Order Management; Logistics And Transportation Visibility; Supplier Management; Compliance And Reporting; Other Applications
  • 5) By End User Industry: Retail And E-commerce; Manufacturing; Healthcare And Pharmaceuticals; Automotive; Food And Beverage; Logistics And Transportation; Consumer Goods; Other End User Industries
  • Subsegments:
  • 1) By Software: Supply Chain Visibility Software; Predictive Analytics Software; Transportation Management Software; Warehouse Management Software; Route Optimization Software; Demand Forecasting Software
  • 2) By Hardware: Radio Frequency Identification Devices; Global Positioning System Devices; Sensors And Internet Of Things Devices; Barcode Scanners; Telematics Devices; Industrial Computers; Communication Hardware
  • 3) By Services: Implementation And Integration Services; Consulting Services; Support And Maintenance Services; Managed Services; Training And Education Services; Analytics And Optimization Services
  • Companies Mentioned: International Business Machines Corporation; Microsoft; Oracle Corporation; SAP SE; C3.ai; Zebra Technologies Corporation; Infor Inc.; Blue Yonder Group Inc.; Manhattan Associates Inc.; E2open Parent Holdings Inc.; Coupa Software Inc.; Descartes Systems Group Inc.; o9 Solutions Inc.; Kinaxis Inc.; Project44 Inc.; FourKites Inc.; Samsara Inc.; ParkourSC; WiseTech Global; Overhaul Group Inc.; Tive Inc.; Roambee Corporation; Shippeo SAS
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Supply Chain Visibility Artificial Intelligence Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Supply Chain Visibility Artificial Intelligence Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Supply Chain Visibility Artificial Intelligence Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Supply Chain Visibility Artificial Intelligence Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Internet of Things (IoT), Smart Infrastructure & Connected Ecosystems
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Industry 4.0 & Intelligent Manufacturing
    • 4.1.5 Autonomous Systems, Robotics & Smart Mobility
  • 4.2. Major Trends
    • 4.2.1 Increasing Adoption Of Predictive Disruption Detection Models For Proactive Supply Chain Risk Mitigation
    • 4.2.2 Growing Use Of Real Time Shipment Tracking Dashboards For End To End Logistics Transparency
    • 4.2.3 Rising Demand For AI Driven Demand Sensing To Improve Inventory Accuracy
    • 4.2.4 Expanding Integration Of Digital Twin Technology For Supply Chain Simulation And Optimization
    • 4.2.5 Increasing Deployment Of Automated Exception Management Systems For Faster Disruption Response

5. Supply Chain Visibility Artificial Intelligence Market Analysis Of End Use Industries

  • 5.1 Retail And E-commerce
  • 5.2 Manufacturing
  • 5.3 Healthcare And Pharmaceuticals
  • 5.4 Automotive
  • 5.5 Logistics And Transportation

6. Supply Chain Visibility Artificial Intelligence Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Supply Chain Visibility Artificial Intelligence Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Supply Chain Visibility Artificial Intelligence PESTEL Analysis (Political, Economical, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Supply Chain Visibility Artificial Intelligence Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Supply Chain Visibility Artificial Intelligence Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Supply Chain Visibility Artificial Intelligence Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Supply Chain Visibility Artificial Intelligence Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Supply Chain Visibility Artificial Intelligence Market Segmentation

  • 9.1. Global Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software, Hardware, Services
  • 9.2. Global Supply Chain Visibility Artificial Intelligence Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Cloud, On Premises
  • 9.3. Global Supply Chain Visibility Artificial Intelligence Market, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Large Enterprises, Small And Medium Enterprises
  • 9.4. Global Supply Chain Visibility Artificial Intelligence Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Inventory Management, Risk Management, Order Management, Logistics And Transportation Visibility, Supplier Management, Compliance And Reporting, Other Applications
  • 9.5. Global Supply Chain Visibility Artificial Intelligence Market, Segmentation By End User Industry, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Retail And E-commerce, Manufacturing, Healthcare And Pharmaceuticals, Automotive, Food And Beverage, Logistics And Transportation, Consumer Goods, Other End User Industries
  • 9.6. Global Supply Chain Visibility Artificial Intelligence Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Supply Chain Visibility Software, Predictive Analytics Software, Transportation Management Software, Warehouse Management Software, Route Optimization Software, Demand Forecasting Software
  • 9.7. Global Supply Chain Visibility Artificial Intelligence Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Radio Frequency Identification Devices, Global Positioning System Devices, Sensors And Internet Of Things Devices, Barcode Scanners, Telematics Devices, Industrial Computers, Communication Hardware
  • 9.8. Global Supply Chain Visibility Artificial Intelligence Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Implementation And Integration Services, Consulting Services, Support And Maintenance Services, Managed Services, Training And Education Services, Analytics And Optimization Services

10. Supply Chain Visibility Artificial Intelligence Market, Industry Metrics By Country

  • 10.1. Global Supply Chain Visibility Artificial Intelligence Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Supply Chain Visibility Artificial Intelligence Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Supply Chain Visibility Artificial Intelligence Market Regional And Country Analysis

  • 11.1. Global Supply Chain Visibility Artificial Intelligence Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Supply Chain Visibility Artificial Intelligence Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Supply Chain Visibility Artificial Intelligence Market

  • 12.1. Asia-Pacific Supply Chain Visibility Artificial Intelligence Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Supply Chain Visibility Artificial Intelligence Market

  • 13.1. China Supply Chain Visibility Artificial Intelligence Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Supply Chain Visibility Artificial Intelligence Market

  • 14.1. India Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Supply Chain Visibility Artificial Intelligence Market

  • 15.1. Japan Supply Chain Visibility Artificial Intelligence Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Supply Chain Visibility Artificial Intelligence Market

  • 16.1. Australia Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Supply Chain Visibility Artificial Intelligence Market

  • 17.1. Indonesia Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Supply Chain Visibility Artificial Intelligence Market

  • 18.1. South Korea Supply Chain Visibility Artificial Intelligence Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Supply Chain Visibility Artificial Intelligence Market

  • 19.1. Taiwan Supply Chain Visibility Artificial Intelligence Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Supply Chain Visibility Artificial Intelligence Market

  • 20.1. South East Asia Supply Chain Visibility Artificial Intelligence Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Supply Chain Visibility Artificial Intelligence Market

  • 21.1. Western Europe Supply Chain Visibility Artificial Intelligence Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Supply Chain Visibility Artificial Intelligence Market

  • 22.1. UK Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Supply Chain Visibility Artificial Intelligence Market

  • 23.1. Germany Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Supply Chain Visibility Artificial Intelligence Market

  • 24.1. France Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Supply Chain Visibility Artificial Intelligence Market

  • 25.1. Italy Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Supply Chain Visibility Artificial Intelligence Market

  • 26.1. Spain Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Supply Chain Visibility Artificial Intelligence Market

  • 27.1. Eastern Europe Supply Chain Visibility Artificial Intelligence Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Supply Chain Visibility Artificial Intelligence Market

  • 28.1. Russia Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Supply Chain Visibility Artificial Intelligence Market

  • 29.1. North America Supply Chain Visibility Artificial Intelligence Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Supply Chain Visibility Artificial Intelligence Market

  • 30.1. USA Supply Chain Visibility Artificial Intelligence Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Supply Chain Visibility Artificial Intelligence Market

  • 31.1. Canada Supply Chain Visibility Artificial Intelligence Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Supply Chain Visibility Artificial Intelligence Market

  • 32.1. South America Supply Chain Visibility Artificial Intelligence Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Supply Chain Visibility Artificial Intelligence Market

  • 33.1. Brazil Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Supply Chain Visibility Artificial Intelligence Market

  • 34.1. Middle East Supply Chain Visibility Artificial Intelligence Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Supply Chain Visibility Artificial Intelligence Market

  • 35.1. Africa Supply Chain Visibility Artificial Intelligence Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa Supply Chain Visibility Artificial Intelligence Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Supply Chain Visibility Artificial Intelligence Market Regulatory and Investment Landscape

37. Supply Chain Visibility Artificial Intelligence Market Competitive Landscape And Company Profiles

  • 37.1. Supply Chain Visibility Artificial Intelligence Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Supply Chain Visibility Artificial Intelligence Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Supply Chain Visibility Artificial Intelligence Market Company Profiles
    • 37.3.1. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Microsoft Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. C3.ai Overview, Products and Services, Strategy and Financial Analysis

38. Supply Chain Visibility Artificial Intelligence Market Other Major And Innovative Companies

  • Zebra Technologies Corporation, Infor Inc., Blue Yonder Group Inc., Manhattan Associates Inc., E2open Parent Holdings Inc., Coupa Software Inc., Descartes Systems Group Inc., o9 Solutions Inc., Kinaxis Inc., Project44 Inc., FourKites Inc., Samsara Inc., ParkourSC, WiseTech Global, Overhaul Group Inc.

39. Global Supply Chain Visibility Artificial Intelligence Market Competitive Benchmarking And Dashboard

40. Upcoming Startups in the Market

41. Key Mergers And Acquisitions In The Supply Chain Visibility Artificial Intelligence Market

42. Supply Chain Visibility Artificial Intelligence Market High Potential Countries, Segments and Strategies

  • 42.1. Supply Chain Visibility Artificial Intelligence Market In 2030 - Countries Offering Most New Opportunities
  • 42.2. Supply Chain Visibility Artificial Intelligence Market In 2030 - Segments Offering Most New Opportunities
  • 42.3. Supply Chain Visibility Artificial Intelligence Market In 2030 - Growth Strategies
    • 42.3.1. Market Trend Based Strategies
    • 42.3.2. Competitor Strategies

43. Appendix

  • 43.1. Abbreviations
  • 43.2. Currencies
  • 43.3. Historic And Forecast Inflation Rates
  • 43.4. Research Inquiries
  • 43.5. The Business Research Company
  • 43.6. Copyright And Disclaimer