2026年全球人工智慧供應鏈規劃軟體市場報告

近年來，人工智慧（AI）驅動的供應鏈計畫軟體市場發展迅速。預計該市場規模將從2025年的88.1億美元成長到2026年的110.3億美元，複合年成長率（CAGR）高達25.2%。這一成長主要歸因於供應鏈日益複雜化、對精準需求預測的需求不斷成長、庫存最佳化面臨日益嚴峻的挑戰、供應鏈中斷事件頻發以及對更快計劃和決策速度的需求不斷增加。

未來幾年，人工智慧（AI）驅動的供應鏈規劃軟體市場預計將大幅成長。預計到2030年，該市場將以24.8%的複合年成長率成長，達到267.2億美元。預測期內的成長主要歸因於以下幾個方面：對自主供應鏈計畫的需求不斷成長；對持續供應鏈最佳化的需求日益增加；對顛覆性計畫解決方案的需求不斷成長；預測性庫存管理應用範圍擴大；以及對自適應採購和生產調度的日益關注。預測期間的關鍵趨勢包括：AI驅動的需求預測已擴展；即時供應鏈計畫的應用日益廣泛；自動化庫存最佳化已擴展；對預測性供應鏈風險管理的日益關注；以及對動態生產和採購計畫的需求不斷成長。

展望未來，電子商務的成長預計將推動人工智慧（AI）驅動的供應鏈規劃軟體市場的發展。電子商務是指透過數位平台、網站和行動應用程式在線上買賣產品和服務。電子商務的成長得益於網路普及率的提高，這使得更多人能夠存取線上平台、便利購物並隨時隨地進行數位交易。電子商務的成長正在推動對人工智慧（AI）驅動的供應鏈規劃軟體的需求，以最佳化庫存、預測需求並提高供應鏈效率。電子商務的擴張增加了對準確需求預測、即時庫存最佳化以及在複雜且快速變化的供應鏈網路中高效訂單履行的需求，從而加速了人工智慧（AI）驅動的供應鏈計劃軟體的普及應用。例如，根據美國聯邦政府統計機構美國人口普查局的數據，截至2025年2月，2024年第四季零售電子商務銷售額達到3,089億美元，比2023年第四季成長9.4%。因此，電子商務的成長正在推動人工智慧（AI）驅動的供應鏈規劃軟體市場的成長。

在人工智慧 (AI) 驅動的供應鏈規劃軟體市場中，領先企業正致力於開發創新解決方案，例如智慧體 AI 應用，以增強自主決策能力、提高供應鏈韌性、最佳化庫存計劃並加速端到端業務執行。智慧體 AI 應用是由協作式 AI 代理驅動的高階企業軟體解決方案，能夠自主推理、規劃和執行業務流程。它們超越了傳統的 AI 助理和基於規則的自動化工具，能夠安全地存取企業資料、工作流程、策略和交易系統，從而即時制定和執行決策。例如，2026 年 4 月，總部位於美國的企業軟體公司Oracle發布了 Oracle Fusion Agentic Applications for Finance and Supply Chain，這是一款創新的 AI 驅動型企業應用套件，旨在變革財務和供應鏈營運。此解決方案整合了專用 AI 代理，可在 Oracle Fusion Cloud 應用環境中主動管理供應鏈規劃、庫存最佳化、採購、製造和物流工作流程。與主要提供需要人工干預的建議的傳統規劃軟體不同，該平台利用企業級情境資料自主執行日常任務、識別異常情況並提出糾正措施建議。它還與 Oracle AI Agent Studio 整合，使企業能夠建置和自訂具有管治、安全和批准管理功能的 AI 代理，從而實現企業級部署。透過以結果為導向的 AI 自動化，該平台可協助企業減少營運延誤、改善營運資金、增強供應鏈應對力並提高規劃準確性。

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
• 全球人工智慧驅動的供應鏈規劃軟體市場：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
  • 數位化、雲端運算、巨量資料、網路安全
  • 工業4.0和智慧製造
  • 物聯網、智慧基礎設施、互聯生態系統
  • 永續性、氣候技術、循環經濟
• 主要趨勢
  • 擴大人工智慧驅動的需求預測的應用
  • 擴大即時供應鏈計畫的應用
  • 庫存最佳化自動化正變得越來越普及。
  • 人們對預測性供應鏈風險管理越來越感興趣。
  • 對動態生產和採購計劃的需求日益成長

第5章 終端用戶產業市場分析

• 製造業
• 零售與電子商務
• 資訊科技/通訊
• 銀行業、金融服務業及保險業
• 其他終端用戶產業

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

• 全球人工智慧（AI）驅動的供應鏈規劃軟體市場：PESTEL分析
• 全球人工智慧驅動供應鏈規劃軟體市場：規模、對比及成長率分析
• 全球人工智慧（AI）驅動的供應鏈規劃軟體市場表現：規模與成長，2020-2025年
• 全球人工智慧（AI）驅動的供應鏈計畫軟體市場預測：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、服務
• 透過技術
• 機器學習、預測分析、自然語言處理、生成式人工智慧、深度學習
• 部署模式
• 雲端部署、本地部署、混合部署
• 透過使用
• 需求預測、庫存最佳化、生產力計畫、風險管理、網路規劃、補貨規劃
• 按行業分類
• 製造業、零售與電子商務、醫​​療保健、汽車、消費品、食品飲料及其他行業
• 按類型細分：軟體
• 運輸規劃軟體、銷售及營運規劃軟體、進階分析軟體、風險管理軟體
• 按類型細分：服務
• 諮詢服務、實施服務、整合服務、託管服務

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

• 人工智慧（AI）驅動的供應鏈規劃軟體市場：競爭格局和市場佔有率（2024年）
• 人工智慧（AI）驅動的供應鏈規劃軟體市場：公司估值矩陣
• 人工智慧（AI）驅動的供應鏈規劃軟體市場：公司概況
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • International Business Machines Corporation
  • Dassault Systemes SE

第38章 其他大型企業和創新企業

• Infor Inc, Manhattan Associates Inc, Coupa Software Inc, SAS Institute Inc, Blue Yonder Group Inc, Kinaxis Inc, o9 Solutions Inc, Anaplan Inc, Epicor Software Corporation, RELEX Solutions Oy, ToolsGroup Srl, John Galt Solutions Inc, Adexa Inc, Lokad SAS, Streamline 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年人工智慧（AI）驅動的供應鏈規劃軟體市場：提供新機會的國家
• 2030年人工智慧（AI）驅動的供應鏈規劃軟體市場：蘊藏新機會的細分領域
• 2030年人工智慧（AI）驅動的供應鏈規劃軟體市場：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

Artificial intelligence (AI)-powered supply chain planning software is a software solution that employs artificial intelligence, machine learning, predictive analytics, and real-time information to optimize supply chain planning activities, including demand forecasting, inventory management, production scheduling, procurement, and logistics. It allows organizations to make informed decisions based on data, automate planning activities, enhance operational efficiency, lower costs, and strengthen supply chain resilience by continuously responding to evolving market conditions and disruptions.

The primary components of artificial intelligence (AI) powered supply chain planning software include software and services. Software refers to digital applications that leverage AI capabilities to analyze supply chain data, facilitate planning decisions, and enhance the coordination of supply chain activities. These solutions utilize machine learning, predictive analytics, natural language processing, generative artificial intelligence, and deep learning technologies and are deployed through cloud-based, on-premises, and hybrid models. The key applications include demand forecasting, inventory optimization, capacity planning, risk management, network planning, and replenishment planning, while the industrial verticals include manufacturing, retail and e-commerce, healthcare, automotive, consumer goods, food and beverage, and others.

Tariffs are influencing the artificial intelligence (AI) powered supply chain planning software market by increasing procurement expenses for imported goods, raw materials, components, and technology infrastructure while creating greater uncertainty across international supply networks. This is increasing the need for advanced planning capabilities covering inventory optimization, demand forecasting, procurement, and risk management, particularly among manufacturing, retail, and automotive industries in regions exposed to international trade such as North America, Europe, and Asia-Pacific. Software and services that enable real-time planning and disruption management are likely to experience stronger demand as organizations address tariff-driven cost fluctuations and supply chain uncertainties. However, tariffs are also promoting supply chain diversification, regional sourcing, localized production, and broader adoption of AI-powered planning tools to improve resilience and operational cost efficiency.

The artificial intelligence (AI) powered supply chain planning software market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) powered supply chain planning software market statistics, including artificial intelligence (AI) powered supply chain planning software industry global market size, regional shares, competitors with a artificial intelligence (AI) powered supply chain planning software market share, detailed artificial intelligence (AI) powered supply chain planning software market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) powered supply chain planning software industry. This artificial intelligence (AI) powered supply chain planning software 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.

The artificial intelligence (AI) powered supply chain planning software market size has grown exponentially in recent years. It will grow from $8.81 billion in 2025 to $11.03 billion in 2026 at a compound annual growth rate (CAGR) of 25.2%. The growth in the historic period can be attributed to increasing complexity across supply chains, rising need for precise demand forecasting, growing challenges in inventory optimization, increasing occurrence of supply chain disruptions, rising demand for quicker planning and decision-making.

The artificial intelligence (AI) powered supply chain planning software market size is expected to see exponential growth in the next few years. It will grow to $26.72 billion in 2030 at a compound annual growth rate (CAGR) of 24.8%. The growth in the forecast period can be attributed to growing demand for autonomous supply chain planning, increasing need for continuous supply chain optimization, rising demand for planning solutions capable of responding to disruptions, expanding adoption of predictive inventory management, and increasing focus on adaptive procurement and production scheduling. Major trends in the forecast period include growing adoption of AI-powered demand forecasting, increasing use of real-time supply chain planning, rising implementation of automated inventory optimization, increasing emphasis on predictive supply chain risk management, and growing demand for dynamic production and procurement planning.

The growth in e-commerce is expected to propel the growth of the artificial intelligence (AI) powered supply chain planning software market going forward. E-commerce refers to the online buying and selling of products and services through digital platforms, websites, and mobile applications. Growth in e-commerce is driven by increased internet penetration, which has enabled more people to access online platforms, shop conveniently, and engage in digital transactions from anywhere. Growth in e-commerce is driving demand for artificial intelligence-powered supply chain planning software to optimize inventory, forecast demand, and improve supply chain efficiency. E-commerce expansion is increasing the adoption of artificial intelligence (AI)-powered supply chain planning software by creating a greater need for accurate demand forecasting, real-time inventory optimization, and efficient order fulfillment across complex and rapidly evolving supply networks. For instance, in February 2025, according to the Census Bureau, the US-based federal government's statistical agency, retail e-commerce sales reached $308.9 billion in the fourth quarter of 2024, reflecting a 9.4% increase compared with the fourth quarter of 2023. Therefore, the growth in e-commerce is driving the growth of the artificial intelligence (AI) powered supply chain planning software market.

Key companies operating in the artificial intelligence (AI) powered supply chain planning software market are focusing on developing innovative solutions such as agentic AI applications to enhance autonomous decision-making, improve supply chain resilience, optimize inventory planning, and accelerate end-to-end operational execution. Agentic AI applications are advanced enterprise software solutions powered by coordinated AI agents that can reason, plan, and execute business processes autonomously, going beyond traditional AI assistants or rule-based automation tools by securely accessing enterprise data, workflows, policies, and transactional systems to make and implement decisions in real time. For example, in April 2026, Oracle Corporation, a US-based enterprise software company, launched Oracle Fusion Agentic Applications for Finance and Supply Chain, an innovative suite of AI-powered enterprise applications designed to transform finance and supply chain operations. The solution incorporates specialized AI agents that proactively manage supply chain planning, inventory optimization, procurement, manufacturing, and logistics workflows while operating within Oracle Fusion Cloud applications. Unlike conventional planning software that primarily provides recommendations requiring manual intervention, the platform autonomously executes routine tasks, identifies exceptions, and recommends corrective actions using enterprise-wide contextual data. It also integrates with Oracle AI Agent Studio, enabling organizations to build and customize AI agents with governance, security, and approval controls for enterprise-scale deployment. The platform helps organizations reduce operational delays, improve working capital, enhance supply chain responsiveness, and increase planning accuracy through outcome-driven AI automation.

In February 2023, Thoma Bravo, LLC, a US-based private equity and technology investment company, acquired Coupa Software for $8.0 billion. Through this acquisition, Thoma Bravo aimed to strengthen its enterprise software portfolio by broadening its capabilities in cloud-based business spend management and increasing its exposure to AI-driven procurement and supply chain optimization solutions for global enterprises. Coupa Software Incorporated is a US-based enterprise software company that provides AI-powered supply chain planning solutions through its Business Spend Management (BSM) platform.

Major companies operating in the artificial intelligence (AI) powered supply chain planning software market are Microsoft Corporation, Oracle Corporation, SAP SE, International Business Machines Corporation, Dassault Systemes SE, Infor Inc, Manhattan Associates Inc, Coupa Software Inc, SAS Institute Inc, Blue Yonder Group Inc, Kinaxis Inc, o9 Solutions Inc, Anaplan Inc, Epicor Software Corporation, RELEX Solutions Oy, ToolsGroup S.r.l., John Galt Solutions Inc, Adexa Inc, Lokad SAS, Streamline Inc, GAINS Systems LLC

North America was the dominating region in the artificial intelligence (AI) powered supply chain planning software market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the artificial intelligence (AI) powered supply chain planning software market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The artificial intelligence (AI)-powered supply chain planning software market includes revenues earned by entities by providing services such as demand forecasting and planning, inventory optimization and replenishment planning, production planning and scheduling, supply and procurement planning, and logistics and distribution planning. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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.

Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 artificial intelligence (ai) powered supply chain planning software 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 artificial intelligence (ai) powered supply chain planning software? 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 artificial intelligence (ai) powered supply chain planning software 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.

Scope

Markets Covered:

• 1) By Component: Software; Services
• 2) By Technology: Machine Learning; Predictive Analytics; Natural Language Processing; Generative Artificial Intelligence; Deep Learning
• 3) By Deployment Mode: Cloud-Based; On-Premises; Hybrid
• 4) By Application: Demand Forecasting; Inventory Optimization; Capacity Planning; Risk Management; Network Planning; Replenishment Planning
• 5) By Industry Vertical: Manufacturing; Retail And E Commerce; Healthcare; Automotive; Consumer Goods; Food And Beverage; Other Industry Verticals
• Subsegments:
• 1) By Software: Transportation Planning Software; Sales And Operations Planning Software; Advanced Analytics Software; Risk Management Software
• 2) By Services: Consulting Services; Implementation Services; Integration Services; Managed Services
• Companies Mentioned: Microsoft Corporation; Oracle Corporation; SAP SE; International Business Machines Corporation; Dassault Systemes SE; Infor Inc; Manhattan Associates Inc; Coupa Software Inc; SAS Institute Inc; Blue Yonder Group Inc; Kinaxis Inc; o9 Solutions Inc; Anaplan Inc; Epicor Software Corporation; RELEX Solutions Oy; ToolsGroup S.r.l.; John Galt Solutions Inc; Adexa Inc; Lokad SAS; Streamline Inc; GAINS Systems LLC
• 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.
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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. Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Characteristics

• 2.1. Market Definition & Scope
• 2.2. Market Segmentations
• 2.3. Overview of Key Products and Services
• 2.4. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software 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. Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Trends And Strategies

• 4.1. Key Technologies & Future Trends
  • 4.1.1 Artificial Intelligence & Autonomous Intelligence
  • 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
  • 4.1.3 Industry 4.0 & Intelligent Manufacturing
  • 4.1.4 Internet of Things (IoT), Smart Infrastructure & Connected Ecosystems
  • 4.1.5 Sustainability, Climate Tech & Circular Economy
• 4.2. Major Trends
  • 4.2.1 Increasing Adoption Of AI-Driven Demand Forecasting
  • 4.2.2 Rising Use Of Real-Time Supply Chain Planning
  • 4.2.3 Growing Adoption Of Automated Inventory Optimization
  • 4.2.4 Increasing Focus On Predictive Supply Chain Risk Management
  • 4.2.5 Rising Demand For Dynamic Production And Procurement Planning

5. Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Analysis Of End Use Industries

• 5.1 Manufacturing
• 5.2 Retail And E Commerce
• 5.3 Information Technology And Telecommunications
• 5.4 Banking Financial Services And Insurance
• 5.5 Other End User Industries

6. Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

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

8. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software 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. Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Segmentation

• 9.1. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Software, Services
• 9.2. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Machine Learning, Predictive Analytics, Natural Language Processing, Generative Artificial Intelligence, Deep Learning
• 9.3. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Cloud-Based, On-Premises, Hybrid
• 9.4. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Demand Forecasting, Inventory Optimization, Capacity Planning, Risk Management, Network Planning, Replenishment Planning
• 9.5. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Manufacturing, Retail And E Commerce, Healthcare, Automotive, Consumer Goods, Food And Beverage, Other Industry Verticals
• 9.6. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Transportation Planning Software, Sales And Operations Planning Software, Advanced Analytics Software, Risk Management Software
• 9.7. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Consulting Services, Implementation Services, Integration Services, Managed Services

10. Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Industry Metrics By Country

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

11. Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Regional And Country Analysis

• 11.1. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• 11.2. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 12.1. Asia-Pacific Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 13.1. China Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 14.1. India Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 15.1. Japan Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 16.1. Australia Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 17.1. Indonesia Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 18.1. South Korea Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 19.1. Taiwan Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 20.1. South East Asia Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 21.1. Western Europe Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 22.1. UK Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 23.1. Germany Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 24.1. France Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 25.1. Italy Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 26.1. Spain Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 27.1. Eastern Europe Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 28.1. Russia Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 29.1. North America Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 30.1. USA Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 31.1. Canada Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 32.1. South America Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 33.1. Brazil Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 34.1. Middle East Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

• 35.1. Africa Artificial Intelligence (AI) Powered Supply Chain Planning Software 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 Artificial Intelligence (AI) Powered Supply Chain Planning Software Market, Segmentation By Component, Segmentation By Technology, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Regulatory and Investment Landscape

37. Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Competitive Landscape And Company Profiles

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

38. Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Other Major And Innovative Companies

• Infor Inc, Manhattan Associates Inc, Coupa Software Inc, SAS Institute Inc, Blue Yonder Group Inc, Kinaxis Inc, o9 Solutions Inc, Anaplan Inc, Epicor Software Corporation, RELEX Solutions Oy, ToolsGroup S.r.l., John Galt Solutions Inc, Adexa Inc, Lokad SAS, Streamline Inc

39. Global Artificial Intelligence (AI) Powered Supply Chain Planning Software Market Competitive Benchmarking And Dashboard

40. Upcoming Startups in the Market

41. Key Mergers And Acquisitions In The Artificial Intelligence (AI) Powered Supply Chain Planning Software Market

42. Artificial Intelligence (AI) Powered Supply Chain Planning Software Market High Potential Countries, Segments and Strategies

• 42.1. Artificial Intelligence (AI) Powered Supply Chain Planning Software Market In 2030 - Countries Offering Most New Opportunities
• 42.2. Artificial Intelligence (AI) Powered Supply Chain Planning Software Market In 2030 - Segments Offering Most New Opportunities
• 42.3. Artificial Intelligence (AI) Powered Supply Chain Planning Software 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