+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
Sale

Supply Chain Digital Process Automation Market - Global Forecast 2025-2032

  • PDF Icon

    Report

  • 187 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 6015595
UP TO OFF until Jan 01st 2026
1h Free Analyst Time
1h Free Analyst Time

Speak directly to the analyst to clarify any post sales queries you may have.

The Supply Chain Digital Process Automation Market continues to reshape enterprise operations, offering transformative value for supply chain leaders seeking to align with digital-first business objectives. This report equips senior decision-makers with vital insights, actionable findings, and a holistic market view to inform strategic investment decisions.

Market Snapshot: Supply Chain Digital Process Automation Market

In 2024, the global Supply Chain Digital Process Automation Market was valued at USD 5.37 billion and is projected to grow to USD 5.93 billion in 2025. The market is anticipated to expand at a CAGR of 10.57%, ultimately reaching USD 12.02 billion by 2032. This consistent growth reflects broad-based adoption of automation technologies across manufacturing, retail, automotive, and healthcare sectors, as organizations seek resilient workflows and improved supply chain visibility.

Scope & Segmentation of the Digital Supply Chain Process Automation Market

This comprehensive analysis covers a broad array of dimensions shaping the digital supply chain landscape. Segmentation allows for clarity in technology adoption patterns, buyer motivations, and technology impact across global markets:

  • Component: Hardware (IoT Devices, RFID Readers), Services (Managed Services, Professional Services), Software (On Premise, SaaS)
  • Process Type: Inventory Management, Order Management, Procurement, Transportation Management (Execution, Planning), Warehouse Management (Execution, Optimization)
  • Deployment Mode: Cloud (Hybrid Cloud, Private Cloud, Public Cloud), On Premise
  • Industry Vertical: Automotive, Healthcare, Manufacturing, Retail
  • Organization Size: Large Enterprises, Small and Medium Enterprises
  • Geography: Americas (North America, Latin America), Europe, Middle East & Africa (including key sub-regions), Asia-Pacific (with individual country coverage)
  • Leading Companies: SAP SE, Oracle Corporation, Blue Yonder Group, Kinaxis Inc., Manhattan Associates, E2open Parent Holdings, IBM Corporation, Microsoft Corporation, Anaplan, and Coupa Software

Key Takeaways for Senior Decision-Makers

  • Digital process automation has evolved into a strategic enabler, facilitating end-to-end visibility, real-time responsiveness, and supply chain resilience.
  • Actionable technology adoption is driven by advances in cloud-native architectures, artificial intelligence integration, and edge computing across diverse operational environments.
  • Operational improvements in areas such as predictive maintenance, automated routing, and virtual logistics modeling are reducing manual errors and accelerating cycle times.
  • Collaboration ecosystems built on data-sharing protocols and blockchain are increasing transparency and compliance, facilitating secure multi-party workflows in global supply networks.
  • Large enterprises invest in integrated platforms spanning global operations, while SMEs embrace modular and scalable solutions for faster ROI and adaptability.
  • Emerging best practices prioritize cross-functional governance, standardized data architectures, and ongoing workforce upskilling for sustainable automation success.

Impact of 2025 US Tariffs on Supply Chain Digital Process Automation

The introduction of new United States tariffs in 2025 has significantly influenced sourcing strategies and operating models in global supply chains. As duty rates on critical materials rose, supply chain stakeholders increased reliance on digital process automation platforms to manage complex cost and compliance demands. Real-time regulatory updates and tariff schedules embedded in automated systems help businesses adjust procurement, streamline documentation, and anticipate financial liabilities. These developments highlight the necessity for integrated automation in addressing tariff-driven volatility and reducing documentation lag in cross-border trade.

Methodology & Data Sources

The findings in this report are built on a methodical research approach, triangulating primary interviews with key supply chain executives, automation specialists, and technology vendors. This qualitative input is validated with extensive secondary research, regulatory filings, industry publications, and expert white papers. Segment analysis ensures granular accuracy and reflects heterogenous adoption patterns worldwide.

Why This Report Matters

  • Enables strategic investments in digital supply chain automation by shedding light on deployment patterns, regional variations, and leading technology partners.
  • Delivers practical, actionable recommendations for mitigating risk, optimizing automation ROI, and enhancing end-to-end process agility.
  • Empowers senior decision-makers to benchmark against global best practices for technology integration, data governance, and regulatory compliance.

Conclusion

Senior executives confronting disruption and complexity in global supply chains will find this report a reliable reference for navigating digital transformation. Automation, governance, and data integration will remain central to supply chain leadership and competitive success.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. AI-driven predictive demand forecasting models enhancing supply chain agility
5.2. Real-time supply chain visibility platforms integrating IoT sensors and analytics
5.3. Blockchain-enabled traceability networks ensuring end-to-end product authenticity
5.4. Robotic process automation for procurement workflows reducing manual intervention risks
5.5. Digital twin simulations optimizing end-to-end supply chain planning and execution
5.6. Cloud-native integration platforms enabling seamless data exchange across stakeholders
5.7. Edge computing architectures powering low-latency analytics for on-site inventory control
5.8. Autonomous guided vehicles and drones automating warehouse operations and order fulfillment
5.9. Sustainability-driven logistics automation reducing carbon footprint through route optimization
5.10. Predictive risk management dashboards leveraging machine learning for supply chain resilience
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Supply Chain Digital Process Automation Market, by Component
8.1. Hardware
8.1.1. Iot Devices
8.1.2. Rfid Readers
8.2. Services
8.2.1. Managed Services
8.2.2. Professional Services
8.3. Software
8.3.1. On Premise
8.3.2. Saas
9. Supply Chain Digital Process Automation Market, by Process Type
9.1. Inventory Management
9.2. Order Management
9.3. Procurement
9.4. Transportation Management
9.4.1. Execution
9.4.2. Planning
9.5. Warehouse Management
9.5.1. Execution
9.5.2. Optimization
10. Supply Chain Digital Process Automation Market, by Deployment Mode
10.1. Cloud
10.1.1. Hybrid Cloud
10.1.2. Private Cloud
10.1.3. Public Cloud
10.2. On Premise
11. Supply Chain Digital Process Automation Market, by Industry Vertical
11.1. Automotive
11.2. Healthcare
11.3. Manufacturing
11.4. Retail
12. Supply Chain Digital Process Automation Market, by Organization Size
12.1. Large Enterprise
12.2. Small And Medium Enterprises
13. Supply Chain Digital Process Automation Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. Supply Chain Digital Process Automation Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. Supply Chain Digital Process Automation Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. SAP SE
16.3.2. Oracle Corporation
16.3.3. Blue Yonder Group, Inc.
16.3.4. Kinaxis Inc.
16.3.5. Manhattan Associates, Inc.
16.3.6. E2open Parent Holdings, Inc.
16.3.7. IBM Corporation
16.3.8. Microsoft Corporation
16.3.9. Anaplan, Inc.
16.3.10. Coupa Software, Inc.

Companies Mentioned

The companies profiled in this Supply Chain Digital Process Automation market report include:
  • SAP SE
  • Oracle Corporation
  • Blue Yonder Group, Inc.
  • Kinaxis Inc.
  • Manhattan Associates, Inc.
  • E2open Parent Holdings, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Anaplan, Inc.
  • Coupa Software, Inc.

Table Information