Supply Chain Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment, By Organization Size; By Industry Vertical, By Region & Competition, 2021-2031F

Description

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.

Market Overview
Forecast Period	2027-2031
Market Size 2025	USD 8.94 Billion
Market Size 2031	USD 28.73 Billion
CAGR 2026-2031	21.48%
Fastest Growing Segment	Small & Medium Enterprise
Largest Market	North America

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:

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.