Supply Chain Big Data Analytics Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The report covers Global Supply Chain Big Data Analytics Market Size and it is segmented by Type (Solution, Service), End User (Retail, Manufacturing, Transportation and Logistics, Healthcare, Other End Users), and Geography (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa). The market size and forecasts are provided in terms of value (USD) for all the above segments.

Supply Chain Big Data Analytics Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

Supply Chain Big Data Analytics Market Size

Supply Chain Big Data Analytics Market Summary
Study Period 2019 - 2030
Base Year For Estimation 2024
Forecast Data Period 2025 - 2030
CAGR 17.31 %
Fastest Growing Market Asia Pacific
Largest Market North America
Market Concentration Medium

Major Players

Supply Chain Big Data Analytics Market Major Players

*Disclaimer: Major Players sorted in no particular order

Compare market size and growth of Supply Chain Big Data Analytics Market with other markets in Technology, Media and Telecom Industry

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Supply Chain Big Data Analytics Market Analysis

The Supply Chain Big Data Analytics Market is expected to register a CAGR of 17.31% during the forecast period.

  • The widespread use of digital technologies has led to the emergence of Big Data Analytics (BDA) as a critical business capability to provide companies with better opportunities to obtain value from an increasingly huge amount of data and gain a commanding competitive advantage.
  • Big data analytics aid in the improvement of the supply chain in the manufacturing business. For example, energy-intensive manufacturing runs can be scheduled to take advantage of changing electricity rates. Data on production characteristics, such as assembly forces or size variances between components, can be saved and examined to aid in the root-cause investigation of errors, even if they arise years later. Agricultural seed processors and producers monitor the quality of their products in real-time using various types of cameras to obtain quality assessments for every individual seed.
  • Analytics are already being used by trucking businesses to optimize their operations. For example, they employ fuel usage analytics to increase vehicle economy and GPS technology to cut waiting times by distributing storage spaces in real time. Courier companies have begun real-time scheduling of deliveries to consumers based on geo-location and congestion data from their trucks. UPS, for example, has invested ten years in creating its On-Road Integrated Optimization and Navigation system (Orion) to improve the network's 55,000 paths. According to the company's CEO, David Abney, the new method would save $300 million to $400 million yearly. Big data analytics will also assist logistics operators in delivering goods with fewer delivery efforts by mining their data to estimate when a parcel will be delivered.
  • Big data analytics can help businesses investigate the sales benefits of grouping related goods together. Google has bought Skybox, a source of high-resolution satellite images that can be used to watch automobiles in a parking lot to predict in-store demand. Others have investigated the use of camera-equipped drones to track on-shelf stock levels.
  • The pandemic of COVID-19 has caused disruptions and hazards in global supply systems. Big data analytics (BDA) has recently arisen as a viable solution for providing firms with predicted and pre-emptive information to assist them in planning and reducing the effects of such hazards. The outbreak highlighted the need for solutions for supply chains to ensure long-term economic sustainability. During these difficult times, supply chain analytics helped firms to detect processes that needed immediate adjustment or products/items that were expected to run out soon, helping them to manage the demand-supply gap better. Furthermore, the suppliers are actively developing and delivering solutions to mitigate the detrimental effects of the outbreak on global supply chains.

Supply Chain Big Data Analytics Industry Overview

The supply chain big data analytics market is highly competitive and consists of several major players. In terms of market share, a few major players currently dominate the market, including SAP SE, IBM Corporation, Oracle Corporation, MicroStrategy Incorporated, and Genpact Limited, among others. These companies leverage strategic collaborative initiatives to increase their market shares and profitability. 

In October 2022, Oracle unveiled a slew of new product developments across its complete data and analytics solutions portfolio. With the additional features in Oracle Fusion Analytics for ERP, CX, SCM, and HCM analytics, decision-makers have a prebuilt collection of over 2,000 best-practice dashboards, KPIs, and reports to evaluate performance against strategic objectives. In November 2022, AWS introduced AWS Supply Chain. This new platform enables organizations to supply chain visibility better to make quicker, more informed choices that reduce risks, save money, and enhance customer experiences. AWS Supply Chain seamlessly aggregates and analyzes data from numerous supply chain systems. This allows businesses to monitor their operations in real-time, identify patterns faster, and provide more accurate demand projections to guarantee enough inventory to fulfill consumer expectations.

Supply Chain Big Data Analytics Market Leaders

  1. SAP SE

  2. IBM Corporation

  3. Oracle Corporation

  4. MicroStrategy Incorporated

  5. Genpact Limited

  6. *Disclaimer: Major Players sorted in no particular order
Supply Chain Big Data Analytics Market Concentration
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Supply Chain Big Data Analytics Market News

  • September 2022: Accenture announced the acquisition of MacGregor Partner, a prominent supply chain consultant and technology supplier specializing in smart logistics and warehouse administration. It is an intelligent logistics and warehouse management company, as well as a supply chain consultant and technology supplier. Accenture's supply chain network, powered by Blue Yonder technology, has grown due to the acquisition.
  • November 2022: o9 Solutions, a supplier of artificial intelligence software platforms for decision-making and planning, and Genpact collaborated to meet the requirement for a digitization process that excludes information silos while transparently integrating and streamlining operations for Eckes - Granini's major European provider of fruit drinks and beverages. The companies recently completed the first part of a project to automate and optimize Eckes Granini's worldwide supply chain.
  • November 2022: Microsoft Corp. unveiled the Microsoft Supply Chain System, which aims to help enterprises optimize their supply chain data estate investment through an open approach by combining Microsoft AI, low-code, security, collaboration, and SaaS apps in a scalable platform.

Supply Chain Big Data Analytics Market Report - Table of Contents

1. INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increasing Need of Business Data to Improve Efficiency
  • 4.3 Market Restraints
    • 4.3.1 Operational Complexity Coupled with High Maintenance Costs
  • 4.4 Value Chain / Supply Chain Analysis
  • 4.5 Industry Attractiveness - Porter Five Forces
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry
  • 4.6 Assessment of the Impact of COVID-19 on the Market

5. MARKET SEGMENTATION

  • 5.1 By Type
    • 5.1.1 Solution
    • 5.1.1.1 Supply Chain Procurement and Planning Tool
    • 5.1.1.2 Sales and Operations Planning
    • 5.1.1.3 Manufacturing Analytics
    • 5.1.1.4 Transportation and Logistics Analytics
    • 5.1.1.5 Other Solutions (Inventory Planning and Optimization Analytics and Scheduling and Reporting Tools)
    • 5.1.2 Service
    • 5.1.2.1 Professional Service
    • 5.1.2.2 Support and Maintenance Service
  • 5.2 End User
    • 5.2.1 Retail
    • 5.2.2 Transportation and Logistics
    • 5.2.3 Manufacturing
    • 5.2.4 Healthcare
    • 5.2.5 Other End Users
  • 5.3 Geography
    • 5.3.1 North America
    • 5.3.1.1 United States
    • 5.3.1.2 Canada
    • 5.3.2 Europe
    • 5.3.2.1 United Kingdom
    • 5.3.2.2 Germany
    • 5.3.2.3 France
    • 5.3.2.4 Italy
    • 5.3.2.5 Rest of Europe
    • 5.3.3 Asia-Pacific
    • 5.3.3.1 China
    • 5.3.3.2 Japan
    • 5.3.3.3 South Korea
    • 5.3.3.4 India
    • 5.3.3.5 Rest of Asia-Pacific
    • 5.3.4 Latin America
    • 5.3.4.1 Mexico
    • 5.3.4.2 Brazil
    • 5.3.4.3 Argentina
    • 5.3.4.4 Rest of Latin America
    • 5.3.5 Middle-East & Africa
    • 5.3.5.1 United Arab Emirates
    • 5.3.5.2 Saudi Arabia
    • 5.3.5.3 South Africa
    • 5.3.5.4 Rest of Middle-East & Africa

6. COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 SAP SE (SAP)
    • 6.1.2 IBM Corporation
    • 6.1.3 Oracle Corporation
    • 6.1.4 MicroStrategy Incorporated
    • 6.1.5 Genpact Limited
    • 6.1.6 SAS Institute Inc.
    • 6.1.7 Sage Clarity Systems
    • 6.1.8 Salesforce.com Inc (Tableau Software Inc.)
    • 6.1.9 Birst Inc.
    • 6.1.10 Capgemini Group
    • 6.1.11 Kinaxis Inc.
  • *List Not Exhaustive

7. INVESTMENT ANALYSIS

8. MARKET OPPORTUNITIES AND FUTURE TRENDS

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Supply Chain Big Data Analytics Industry Segmentation

Supply chain analytics solutions can aid enterprises in achieving growth, enhancing profitability, and increasing market shares by utilizing derived insights for making strategic decisions. These solutions can also offer a holistic view of the supply chain and help enhance sustainability, reduce inventory costs, and accelerate time-to-market for products in the long run. The Supply Chain Big Data Analytics Market is segmented by Type (Solution, Service), End User (Retail, Manufacturing, Transportation and Logistics, Healthcare, Other End Users), and Geography (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa)

The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.

By Type Solution Supply Chain Procurement and Planning Tool
Sales and Operations Planning
Manufacturing Analytics
Transportation and Logistics Analytics
Other Solutions (Inventory Planning and Optimization Analytics and Scheduling and Reporting Tools)
Service Professional Service
Support and Maintenance Service
End User Retail
Transportation and Logistics
Manufacturing
Healthcare
Other End Users
Geography North America United States
Canada
Europe United Kingdom
Germany
France
Italy
Rest of Europe
Asia-Pacific China
Japan
South Korea
India
Rest of Asia-Pacific
Latin America Mexico
Brazil
Argentina
Rest of Latin America
Middle-East & Africa United Arab Emirates
Saudi Arabia
South Africa
Rest of Middle-East & Africa
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Supply Chain Big Data Analytics Market Research FAQs

What is the current Supply Chain Big Data Analytics Market size?

The Supply Chain Big Data Analytics Market is projected to register a CAGR of 17.31% during the forecast period (2025-2030)

Who are the key players in Supply Chain Big Data Analytics Market?

SAP SE, IBM Corporation, Oracle Corporation, MicroStrategy Incorporated and Genpact Limited are the major companies operating in the Supply Chain Big Data Analytics Market.

Which is the fastest growing region in Supply Chain Big Data Analytics Market?

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).

Which region has the biggest share in Supply Chain Big Data Analytics Market?

In 2025, the North America accounts for the largest market share in Supply Chain Big Data Analytics Market.

What years does this Supply Chain Big Data Analytics Market cover?

The report covers the Supply Chain Big Data Analytics Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Supply Chain Big Data Analytics Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.

Supply Chain Big Data Analytics Industry Report

Statistics for the 2025 Supply Chain Big Data Analytics market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Supply Chain Big Data Analytics analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.