공급망 분석 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측 - 컴포넌트별, 배포별, 조직 규모별, 업계 수직별, 지역별 및 경쟁(2021-2031년)

The Global Supply Chain Analytics Market is projected to expand from USD 8.94 Billion in 2025 to USD 28.73 Billion by 2031, achieving a Compound Annual Growth Rate (CAGR) of 21.48%. This sector comprises data strategies and software solutions aimed at interpreting operational information to enhance both planning and execution. By facilitating predictive modeling and inventory optimization, these tools empower companies to make strategic, well-informed decisions. The market's upward trajectory is largely fueled by the necessity for complete network visibility and the pressure to reduce escalating operational expenses through digital efficiency. MHI reported in 2024 that 55% of supply chain executives are boosting their investments in innovation and supply chain technology to improve overall performance.

Nevertheless, the struggle to integrate data across various legacy systems remains a significant obstacle to market growth. The effective rollout of analytics platforms is frequently hindered by inconsistent data quality and a lack of standardized formats. This fragmentation restricts the generation of actionable insights and prevents the consolidation of information from isolated sources. Consequently, these issues create a major hurdle that prevents organizations from fully capitalizing on the value of these technological implementations.

Market Driver

The incorporation of Machine Learning and Artificial Intelligence serves as a major driver for the Global Supply Chain Analytics Market, transitioning operations from simple reactive monitoring to proactive optimization. These sophisticated algorithms process vast datasets to automate intricate decision-making, enabling firms to forecast disruptions and manage inventory with exceptional accuracy. The push for this technology is significant; a July 2024 'Industrial AI Insights' report by Honeywell indicates that 94% of executives surveyed intend to increase their AI usage, highlighting a general shift toward automated intelligence. This broad adoption aids in processing high-speed data, converting raw inputs into strategic assets that foster market expansion.

Concurrently, the heightened emphasis on risk management and supply chain resilience requires the use of advanced analytics to manage an increasingly unstable global environment. Businesses are heavily investing in tools that offer scenario planning and end-to-end visibility to protect against economic shifts and geopolitical instability. According to the '2024 Supply Chain Intelligence Report' by Descartes Systems Group released in December 2024, 48% of global logistics leaders cited increasing trade barriers and tariffs as a primary concern, emphasizing the critical need for predictive risk modeling. This pursuit of stability is supported by substantial financial commitment; MHI noted in 2024 that 88% of supply chain leaders plan to invest more than $1 million in technology, underscoring the priority given to establishing resilient, data-centric networks.

Market Challenge

A major impediment to the expansion of the Global Supply Chain Analytics Market is the complexity of integrating data across unconnected legacy systems. Companies often rely on fragmented infrastructures where essential data is locked within isolated "silos," such as Warehouse Management Systems (WMS), Enterprise Resource Planning (ERP) platforms, and transportation logs that fail to communicate. This disconnection precludes the establishment of a unified "single source of truth," a fundamental prerequisite for the functionality of any advanced analytics platform. In the absence of a cohesive dataset, predictive tools are unable to produce accurate forecasts or insights, rendering the software ineffective and deterring widespread adoption.

This technical difficulty is further aggravated by a scarcity of skilled professionals who can bridge the divide between modern digital demands and outdated infrastructure. Integrating these systems demands specialized knowledge to standardize, clean, and migrate data-expertise that is currently in short supply. As per the 2025 MHI Annual Industry Report, 83% of supply chain and manufacturing professionals surveyed highlighted the persistent talent and workforce shortage as a significant operational challenge. This severe deficiency in technical human capital directly impedes firms' abilities to solve integration problems, thereby stalling the implementation of analytics solutions and constraining the market's broader growth.

Market Trends

A pivotal trend gaining traction is the integration of ESG Compliance and Sustainability Analytics, spurred by rigorous regulatory standards and the necessity for detailed carbon footprint visibility. Companies are increasingly adopting specialized analytics to monitor Scope 3 emissions-indirect activities like procurement and transportation-which are notoriously hard to quantify via conventional means. This transition exceeds mere compliance, allowing organizations to strategically refine ethical sourcing and minimize waste through data-led tracking. The importance of this capability is highlighted by the scale of indirect environmental impacts; the 'State of Supply Chain Sustainability 2024' report by the CSCMP and MIT Center for Transportation & Logistics in August 2024 noted that Scope 3 emissions constitute roughly 75% of a firm's total carbon footprint, requiring advanced analytics to effectively track these vast indirect operations.

At the same time, the use of Generative AI for Advanced Scenario Planning is revolutionizing how businesses prepare for volatility by enabling the synthesis of unstructured data into practical strategies. Unlike standard predictive models that depend on structured historical data, generative AI interprets text-based inputs, such as contracts and news reports, to simulate complex "what-if" scenarios for immediate decision-making support. This functionality permits supply chain managers to engage conversationally with data to quickly uncover alternative sourcing paths during crises. Competitive firms are rapidly adopting this technology; an Epicor 'Supply Chain Insights' report from July 2024 revealed that 63% of high-growth companies have already incorporated generative AI into their supply chain processes to handle operational and cost challenges.

Key Market Players

• Kinaxis Inc.
• Manhattan Associates
• IBM Corporation
• Tableau Software LLC
• SAP SE
• SAS Institute Inc.
• QlikTech International AB
• Oracle Corporation
• Microstrategy Incorporated
• Infor Inc.

Report Scope

In this report, the Global Supply Chain Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Supply Chain Analytics Market, By Component

• Software
• Services

Supply Chain Analytics Market, By Deployment

• On-premise
• Cloud

Supply Chain Analytics Market, By Organization Size

• Small & Medium Enterprise
• Large Enterprise

Supply Chain Analytics Market, By Industry Vertical

• Retail & Consumer Goods
• Healthcare & Pharmaceuticals
• Manufacturing
• Food & Beverages
• Transportation & Logistics
• Automotive
• Other

Supply Chain Analytics Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Supply Chain Analytics Market.

Available Customizations:

Global Supply Chain Analytics Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Supply Chain Analytics Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Software, Services)
  • 5.2.2. By Deployment (On-premise, Cloud)
  • 5.2.3. By Organization Size (Small & Medium Enterprise, Large Enterprise)
  • 5.2.4. By Industry Vertical (Retail & Consumer Goods, Healthcare & Pharmaceuticals, Manufacturing, Food & Beverages, Transportation & Logistics, Automotive, Other)
  • 5.2.5. By Region
  • 5.2.6. By Company (2025)
• 5.3. Market Map

6. North America Supply Chain Analytics Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Deployment
  • 6.2.3. By Organization Size
  • 6.2.4. By Industry Vertical
  • 6.2.5. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Supply Chain Analytics Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Deployment
      • 6.3.1.2.3. By Organization Size
      • 6.3.1.2.4. By Industry Vertical
  • 6.3.2. Canada Supply Chain Analytics Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Deployment
      • 6.3.2.2.3. By Organization Size
      • 6.3.2.2.4. By Industry Vertical
  • 6.3.3. Mexico Supply Chain Analytics Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Deployment
      • 6.3.3.2.3. By Organization Size
      • 6.3.3.2.4. By Industry Vertical

7. Europe Supply Chain Analytics Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Deployment
  • 7.2.3. By Organization Size
  • 7.2.4. By Industry Vertical
  • 7.2.5. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Supply Chain Analytics Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Deployment
      • 7.3.1.2.3. By Organization Size
      • 7.3.1.2.4. By Industry Vertical
  • 7.3.2. France Supply Chain Analytics Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Deployment
      • 7.3.2.2.3. By Organization Size
      • 7.3.2.2.4. By Industry Vertical
  • 7.3.3. United Kingdom Supply Chain Analytics Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Deployment
      • 7.3.3.2.3. By Organization Size
      • 7.3.3.2.4. By Industry Vertical
  • 7.3.4. Italy Supply Chain Analytics Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Deployment
      • 7.3.4.2.3. By Organization Size
      • 7.3.4.2.4. By Industry Vertical
  • 7.3.5. Spain Supply Chain Analytics Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Deployment
      • 7.3.5.2.3. By Organization Size
      • 7.3.5.2.4. By Industry Vertical

8. Asia Pacific Supply Chain Analytics Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Deployment
  • 8.2.3. By Organization Size
  • 8.2.4. By Industry Vertical
  • 8.2.5. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Supply Chain Analytics Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Deployment
      • 8.3.1.2.3. By Organization Size
      • 8.3.1.2.4. By Industry Vertical
  • 8.3.2. India Supply Chain Analytics Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Deployment
      • 8.3.2.2.3. By Organization Size
      • 8.3.2.2.4. By Industry Vertical
  • 8.3.3. Japan Supply Chain Analytics Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Deployment
      • 8.3.3.2.3. By Organization Size
      • 8.3.3.2.4. By Industry Vertical
  • 8.3.4. South Korea Supply Chain Analytics Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Deployment
      • 8.3.4.2.3. By Organization Size
      • 8.3.4.2.4. By Industry Vertical
  • 8.3.5. Australia Supply Chain Analytics Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Deployment
      • 8.3.5.2.3. By Organization Size
      • 8.3.5.2.4. By Industry Vertical

9. Middle East & Africa Supply Chain Analytics Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Deployment
  • 9.2.3. By Organization Size
  • 9.2.4. By Industry Vertical
  • 9.2.5. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Supply Chain Analytics Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Deployment
      • 9.3.1.2.3. By Organization Size
      • 9.3.1.2.4. By Industry Vertical
  • 9.3.2. UAE Supply Chain Analytics Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Deployment
      • 9.3.2.2.3. By Organization Size
      • 9.3.2.2.4. By Industry Vertical
  • 9.3.3. South Africa Supply Chain Analytics Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Deployment
      • 9.3.3.2.3. By Organization Size
      • 9.3.3.2.4. By Industry Vertical

10. South America Supply Chain Analytics Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Deployment
  • 10.2.3. By Organization Size
  • 10.2.4. By Industry Vertical
  • 10.2.5. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Supply Chain Analytics Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Deployment
      • 10.3.1.2.3. By Organization Size
      • 10.3.1.2.4. By Industry Vertical
  • 10.3.2. Colombia Supply Chain Analytics Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Deployment
      • 10.3.2.2.3. By Organization Size
      • 10.3.2.2.4. By Industry Vertical
  • 10.3.3. Argentina Supply Chain Analytics Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Deployment
      • 10.3.3.2.3. By Organization Size
      • 10.3.3.2.4. By Industry Vertical

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Supply Chain Analytics Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Kinaxis Inc.
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Manhattan Associates
• 15.3. IBM Corporation
• 15.4. Tableau Software LLC
• 15.5. SAP SE
• 15.6. SAS Institute Inc.
• 15.7. QlikTech International AB
• 15.8. Oracle Corporation
• 15.9. Microstrategy Incorporated
• 15.10. Infor Inc.

16. Strategic Recommendations

17. About Us & Disclaimer