공급망 ERP 시장 규모, 점유율, 업계 분석 보고서 : 조직 규모별, 구성요소별, 도입 모드별, 최종사용자별, 지역별 전망 및 예측(2026-2033년)

The Global Supply Chain ERP Market size is expected to reach USD 24.40 billion by 2033, rising at a market growth of 7.2% CAGR during the forecast period.

The market growth is driven by increasing demand for integrated supply chain management solutions, rising adoption of cloud-based ERP platforms, and growing focus on operational efficiency across industries. Businesses are increasingly deploying AI-enabled ERP systems to improve supply chain visibility, automate workflows, and enhance real-time decision-making capabilities across global operations.

Key Market Trends & Insights

• The Large Enterprises segment dominated the market in 2025, accounting for a 67.77% revenue share due to increasing investments in enterprise-wide digital transformation initiatives.
• The Software segment accounted for the largest share of 63.08% in 2025 and is expected to reach USD 14.92 billion by 2033.
• Cloud-Based deployment dominated the market in 2025 with a 57.97% revenue share owing to growing demand for scalable and remotely accessible ERP solutions.
• The Manufacturing segment dominated the market in 2025 and accounted for a 29.37% share driven by increasing demand for production planning and inventory optimization solutions.
• North America dominated the market in 2025 with a 36.90% revenue share supported by strong ERP adoption across manufacturing, retail, and logistics industries.
• The Global Supply Chain ERP Market is projected to grow from USD 14.27 billion in 2025 to USD 24.41 billion by 2033 driven by increasing adoption of AI-enabled and cloud-based ERP systems.

The major strategies followed by the market participants are Partnerships, Product Innovation, and Cloud Expansion as organizations focus on improving interoperability, automation, and supply chain intelligence capabilities. For instance, in February 2025, SAP SE expanded its AI-driven supply chain planning capabilities within SAP Integrated Business Planning to improve predictive forecasting and operational visibility. Additionally, in January 2025, Oracle Corporation enhanced Oracle Fusion Cloud SCM with generative AI-powered workflow automation and procurement intelligence features.

The Supply Chain ERP Market has evolved significantly from traditional enterprise planning systems into integrated digital platforms capable of managing procurement, logistics, inventory, warehousing, and supplier collaboration within a unified ecosystem. Earlier ERP systems primarily focused on transactional management, while modern solutions incorporate cloud computing, AI, analytics, and automation technologies to support agile and resilient supply chain operations.

Growing digital transformation initiatives across manufacturing, retail, healthcare, food & beverage, and automotive sectors continue to accelerate adoption of advanced supply chain ERP platforms. Organizations are increasingly investing in scalable ERP solutions to improve operational efficiency, reduce costs, optimize inventory levels, and strengthen supply chain resilience amid evolving market conditions and global trade complexities.

Market Share Analysis

The Supply Chain ERP Market demonstrates a moderately fragmented competitive structure with the top market participants accounting for a significant share of global revenue. SAP SE held the leading market position with approximately 12.65% share, supported by its strong enterprise ERP ecosystem and extensive adoption across manufacturing and logistics-intensive industries.

Oracle Corporation and Microsoft Corporation continue to strengthen their positions through cloud-native ERP platforms, AI-driven analytics, and integrated supply chain management capabilities. Specialized providers including Blue Yonder, Infor, Manhattan Associates, and Kinaxis are gaining traction by offering advanced supply chain planning, warehouse management, and logistics optimization solutions. Mid-tier and niche vendors are also expanding through industry-specific ERP capabilities and faster deployment models.

Deployment Mode Outlook

Based on deployment mode, the market is segmented into Cloud-Based, On-Premise, and Hybrid. The Cloud-Based segment dominated the market in 2025 accounting for a 57.97% share owing to increasing demand for scalable, flexible, and remotely accessible ERP platforms. Organizations are increasingly adopting cloud ERP solutions to reduce infrastructure costs, improve operational agility, and enable real-time collaboration across global supply chain networks. The Hybrid segment is also witnessing steady growth as enterprises seek a balance between on-premise security and cloud scalability.

Component Outlook

Based on component, the market is segmented into Software and Services. The Software segment dominated the market in 2025 with a 63.08% revenue share driven by rising demand for integrated ERP platforms capable of automating procurement, inventory management, logistics, and forecasting operations. Organizations continue to invest in AI-enabled ERP software solutions to improve operational visibility, optimize workflows, and support data-driven supply chain management. The Services segment is also growing steadily due to increasing demand for implementation, consulting, training, and system integration services.

End-use Industry Outlook

Based on end-use industry, the market is segmented into Manufacturing, Retail & E-commerce, Healthcare & Pharmaceuticals, Food & Beverage, Consumer Goods, Automotive, and Other End-User industries. The Manufacturing segment dominated the market in 2025 accounting for a 29.37% revenue share due to increasing demand for production planning, inventory optimization, and supply chain coordination solutions. Retail & E-commerce organizations are also significantly adopting supply chain ERP systems to improve order management and inventory visibility, while healthcare and pharmaceutical companies are deploying ERP platforms to strengthen regulatory compliance and supply chain traceability.

Market Competition and Attributes

The Supply Chain ERP Market is highly competitive with companies focusing on AI-enabled analytics, cloud-native ERP platforms, automation, and integrated supply chain visibility solutions. Vendors are increasingly prioritizing interoperability, modular deployment capabilities, and real-time analytics to support complex and globalized supply chain operations across industries.

Strategic partnerships between ERP vendors, cloud service providers, logistics technology firms, and analytics companies continue to strengthen the competitive landscape. Companies are investing in AI, machine learning, IoT integration, and digital twin technologies to enhance predictive capabilities, improve inventory management, and streamline logistics operations.

Regional expansion strategies and flexible pricing models are also influencing competition as organizations seek scalable ERP deployments that align with operational requirements and budget considerations. Cloud migration services, cybersecurity capabilities, and regulatory compliance support remain important competitive differentiators among leading market participants.

Recent Strategies Deployed in the Market

• Feb-2025: SAP SE expanded AI-driven predictive forecasting capabilities within SAP Integrated Business Planning to improve supply chain visibility and operational efficiency.
• Jan-2025: Oracle Corporation enhanced Oracle Fusion Cloud SCM with generative AI-powered workflow automation and procurement intelligence capabilities.
• Nov-2024: Microsoft Corporation introduced new AI-enabled analytics features within Dynamics 365 Supply Chain Management to strengthen real-time decision-making capabilities.
• Oct-2024: Blue Yonder Group, Inc. expanded its cloud-based supply chain planning solutions to improve inventory optimization and logistics management for retail enterprises.
• Sep-2024: Kinaxis, Inc. introduced advanced machine learning functionalities within its RapidResponse platform to enhance demand forecasting and supply chain resilience.

List of Companies Profiled

• SAP SE
• Oracle Corporation
• Microsoft Corporation
• Blue Yonder Group, Inc.
• Kinaxis, Inc.
• Epicor Software Corporation
• The Sage Group plc
• Manhattan Associates, Inc.
• Infor, Inc.
• Workday, Inc.

Global Supply Chain ERP Market Report Segmentation

By Component

• Software
• Services

By Deployment Mode

• Cloud-Based
• On-Premise
• Hybrid

By End-User

• Manufacturing
• Retail & E-commerce
• Healthcare & Pharmaceuticals
• Food & Beverage
• Consumer Goods
• Automotive
• Other End-User

By Organization Size

• Large Enterprises
• Small & Medium Enterprises (SMEs)

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Overview

• 1.1 COVID-19 Impact
• 1.2 Market Composition and Scenario
• 1.3 Key Factors Impacting Market
  • 1.3.1 Market Drivers
  • 1.3.2 Market Restraints
  • 1.3.3 Market Opportunities
  • 1.3.4 Market Challenges
  • 1.3.5 Market Trends
  • 1.3.6 State of Competition
  • 1.3.7 Market Consolidation
  • 1.3.8 Key Customer Criteria

Chapter 2. Product Life Cycle

Chapter 3. Value Chain Analysis of Supply Chain ERP Market

Chapter 4. Competition Analysis - Global

• 4.1 Market Share Analysis
• 4.2 Porter Five Forces Analysis

Chapter 5. Segmentation By Component

• 5.1 Software
• 5.2 Services

Chapter 6. Segmentation By Deployment Mode

• 6.1 Cloud-Based
• 6.2 On-Premise
• 6.3 Hybrid

Chapter 7. Segmentation By End-User

• 7.1 Manufacturing
• 7.2 Retail & E-commerce
• 7.3 Healthcare & Pharmaceuticals
• 7.4 Food & Beverage
• 7.5 Consumer Goods
• 7.6 Automotive
• 7.7 Other End-User

Chapter 8. Segmentation By Organization Size

• 8.1 Large Enterprises
• 8.2 Small & Medium Enterprises (SMEs)

Chapter 9. North America Market

• 9.1 Market Overview
• 9.2 Key Factors Impacting Market
  • 9.2.1 Market Drivers
  • 9.2.2 Market Restraints
  • 9.2.3 Market Opportunities
  • 9.2.4 Market Challenges
  • 9.2.5 Market Trends
  • 9.2.6 State of Competition
  • 9.2.7 Market Consolidation
  • 9.2.8 Key Customer Criteria
• 9.3 Product Life Cycle
• 9.4 Segmentation By Component
  • 9.4.1 Software
  • 9.4.2 Services
• 9.5 Segmentation By Deployment Mode
  • 9.5.1 Cloud-Based
  • 9.5.2 On-Premise
  • 9.5.3 Hybrid
• 9.6 Segmentation By End-User
  • 9.6.1 Manufacturing
  • 9.6.2 Retail & E-commerce
  • 9.6.3 Healthcare & Pharmaceuticals
  • 9.6.4 Food & Beverage
  • 9.6.5 Consumer Goods
  • 9.6.6 Automotive
  • 9.6.7 Other End-User
• 9.7 Segmentation By Organization Size
  • 9.7.1 Large Enterprises
  • 9.7.2 Small & Medium Enterprises (SMEs)
• 9.8 Segmentation By Country
  • 9.8.1 United States
    • 9.8.1.1 Segmentation By Component
      • 9.8.1.1.1 Software
      • 9.8.1.1.2 Services
    • 9.8.1.2 Segmentation By Deployment Mode
      • 9.8.1.2.1 Cloud-Based
      • 9.8.1.2.2 On-Premise
      • 9.8.1.2.3 Hybrid
    • 9.8.1.3 Segmentation By End-User
      • 9.8.1.3.1 Manufacturing
      • 9.8.1.3.2 Retail & E-commerce
      • 9.8.1.3.3 Healthcare & Pharmaceuticals
      • 9.8.1.3.4 Food & Beverage
      • 9.8.1.3.5 Consumer Goods
      • 9.8.1.3.6 Automotive
      • 9.8.1.3.7 Other End-User
    • 9.8.1.4 Segmentation By Organization Size
      • 9.8.1.4.1 Large Enterprises
      • 9.8.1.4.2 Small & Medium Enterprises (SMEs)
  • 9.8.2 Canada
    • 9.8.2.1 Segmentation By Component
      • 9.8.2.1.1 Software
      • 9.8.2.1.2 Services
    • 9.8.2.2 Segmentation By Deployment Mode
      • 9.8.2.2.1 Cloud-Based
      • 9.8.2.2.2 On-Premise
      • 9.8.2.2.3 Hybrid
    • 9.8.2.3 Segmentation By End-User
      • 9.8.2.3.1 Manufacturing
      • 9.8.2.3.2 Retail & E-commerce
      • 9.8.2.3.3 Healthcare & Pharmaceuticals
      • 9.8.2.3.4 Food & Beverage
      • 9.8.2.3.5 Consumer Goods
      • 9.8.2.3.6 Automotive
      • 9.8.2.3.7 Other End-User
    • 9.8.2.4 Segmentation By Organization Size
      • 9.8.2.4.1 Large Enterprises
      • 9.8.2.4.2 Small & Medium Enterprises (SMEs)
  • 9.8.3 Mexico
    • 9.8.3.1 Segmentation By Component
      • 9.8.3.1.1 Software
      • 9.8.3.1.2 Services
    • 9.8.3.2 Segmentation By Deployment Mode
      • 9.8.3.2.1 Cloud-Based
      • 9.8.3.2.2 On-Premise
      • 9.8.3.2.3 Hybrid
    • 9.8.3.3 Segmentation By End-User
      • 9.8.3.3.1 Manufacturing
      • 9.8.3.3.2 Retail & E-commerce
      • 9.8.3.3.3 Healthcare & Pharmaceuticals
      • 9.8.3.3.4 Food & Beverage
      • 9.8.3.3.5 Consumer Goods
      • 9.8.3.3.6 Automotive
      • 9.8.3.3.7 Other End-User
    • 9.8.3.4 Segmentation By Organization Size
      • 9.8.3.4.1 Large Enterprises
      • 9.8.3.4.2 Small & Medium Enterprises (SMEs)
  • 9.8.4 Rest of North America
    • 9.8.4.1 Segmentation By Component
      • 9.8.4.1.1 Software
      • 9.8.4.1.2 Services
    • 9.8.4.2 Segmentation By Deployment Mode
      • 9.8.4.2.1 Cloud-Based
      • 9.8.4.2.2 On-Premise
      • 9.8.4.2.3 Hybrid
    • 9.8.4.3 Segmentation By End-User
      • 9.8.4.3.1 Manufacturing
      • 9.8.4.3.2 Retail & E-commerce
      • 9.8.4.3.3 Healthcare & Pharmaceuticals
      • 9.8.4.3.4 Food & Beverage
      • 9.8.4.3.5 Consumer Goods
      • 9.8.4.3.6 Automotive
      • 9.8.4.3.7 Other End-User
    • 9.8.4.4 Segmentation By Organization Size
      • 9.8.4.4.1 Large Enterprises
      • 9.8.4.4.2 Small & Medium Enterprises (SMEs)

Chapter 10. Europe Market

• 10.1 Market Overview
• 10.2 Key Factors Impacting Market
  • 10.2.1 Market Drivers
  • 10.2.2 Market Restraints
  • 10.2.3 Market Opportunities
  • 10.2.4 Market Challenges
  • 10.2.5 Market Trends
  • 10.2.6 State of Competition
  • 10.2.7 Market Consolidation
  • 10.2.8 Key Customer Criteria
• 10.3 Product Life Cycle
• 10.4 Segmentation By Component
  • 10.4.1 Software
  • 10.4.2 Services
• 10.5 Segmentation By Deployment Mode
  • 10.5.1 Cloud-Based
  • 10.5.2 On-Premise
  • 10.5.3 Hybrid
• 10.6 Segmentation By End-User
  • 10.6.1 Manufacturing
  • 10.6.2 Retail & E-commerce
  • 10.6.3 Healthcare & Pharmaceuticals
  • 10.6.4 Food & Beverage
  • 10.6.5 Consumer Goods
  • 10.6.6 Automotive
  • 10.6.7 Other End-User
• 10.7 Segmentation By Organization Size
  • 10.7.1 Large Enterprises
  • 10.7.2 Small & Medium Enterprises (SMEs)
• 10.8 Segmentation By Country
  • 10.8.1 Germany
    • 10.8.1.1 Segmentation By Component
      • 10.8.1.1.1 Software
      • 10.8.1.1.2 Services
    • 10.8.1.2 Segmentation By Deployment Mode
      • 10.8.1.2.1 Cloud-Based
      • 10.8.1.2.2 On-Premise
      • 10.8.1.2.3 Hybrid
    • 10.8.1.3 Segmentation By End-User
      • 10.8.1.3.1 Manufacturing
      • 10.8.1.3.2 Retail & E-commerce
      • 10.8.1.3.3 Healthcare & Pharmaceuticals
      • 10.8.1.3.4 Food & Beverage
      • 10.8.1.3.5 Consumer Goods
      • 10.8.1.3.6 Automotive
      • 10.8.1.3.7 Other End-User
    • 10.8.1.4 Segmentation By Organization Size
      • 10.8.1.4.1 Large Enterprises
      • 10.8.1.4.2 Small & Medium Enterprises (SMEs)
  • 10.8.2 United Kingdom
    • 10.8.2.1 Segmentation By Component
      • 10.8.2.1.1 Software
      • 10.8.2.1.2 Services
    • 10.8.2.2 Segmentation By Deployment Mode
      • 10.8.2.2.1 Cloud-Based
      • 10.8.2.2.2 On-Premise
      • 10.8.2.2.3 Hybrid
    • 10.8.2.3 Segmentation By End-User
      • 10.8.2.3.1 Manufacturing
      • 10.8.2.3.2 Retail & E-commerce
      • 10.8.2.3.3 Healthcare & Pharmaceuticals
      • 10.8.2.3.4 Food & Beverage
      • 10.8.2.3.5 Consumer Goods
      • 10.8.2.3.6 Automotive
      • 10.8.2.3.7 Other End-User
    • 10.8.2.4 Segmentation By Organization Size
      • 10.8.2.4.1 Large Enterprises
      • 10.8.2.4.2 Small & Medium Enterprises (SMEs)
  • 10.8.3 France
    • 10.8.3.1 Segmentation By Component
      • 10.8.3.1.1 Software
      • 10.8.3.1.2 Services
    • 10.8.3.2 Segmentation By Deployment Mode
      • 10.8.3.2.1 Cloud-Based
      • 10.8.3.2.2 On-Premise
      • 10.8.3.2.3 Hybrid
    • 10.8.3.3 Segmentation By End-User
      • 10.8.3.3.1 Manufacturing
      • 10.8.3.3.2 Retail & E-commerce
      • 10.8.3.3.3 Healthcare & Pharmaceuticals
      • 10.8.3.3.4 Food & Beverage
      • 10.8.3.3.5 Consumer Goods
      • 10.8.3.3.6 Automotive
      • 10.8.3.3.7 Other End-User
    • 10.8.3.4 Segmentation By Organization Size
      • 10.8.3.4.1 Large Enterprises
      • 10.8.3.4.2 Small & Medium Enterprises (SMEs)
  • 10.8.4 Russia
    • 10.8.4.1 Segmentation By Component
      • 10.8.4.1.1 Software
      • 10.8.4.1.2 Services
    • 10.8.4.2 Segmentation By Deployment Mode
      • 10.8.4.2.1 Cloud-Based
      • 10.8.4.2.2 On-Premise
      • 10.8.4.2.3 Hybrid
    • 10.8.4.3 Segmentation By End-User
      • 10.8.4.3.1 Manufacturing
      • 10.8.4.3.2 Retail & E-commerce
      • 10.8.4.3.3 Healthcare & Pharmaceuticals
      • 10.8.4.3.4 Food & Beverage
      • 10.8.4.3.5 Consumer Goods
      • 10.8.4.3.6 Automotive
      • 10.8.4.3.7 Other End-User
    • 10.8.4.4 Segmentation By Organization Size
      • 10.8.4.4.1 Large Enterprises
      • 10.8.4.4.2 Small & Medium Enterprises (SMEs)
  • 10.8.5 Spain
    • 10.8.5.1 Segmentation By Component
      • 10.8.5.1.1 Software
      • 10.8.5.1.2 Services
    • 10.8.5.2 Segmentation By Deployment Mode
      • 10.8.5.2.1 Cloud-Based
      • 10.8.5.2.2 On-Premise
      • 10.8.5.2.3 Hybrid
    • 10.8.5.3 Segmentation By End-User
      • 10.8.5.3.1 Manufacturing
      • 10.8.5.3.2 Retail & E-commerce
      • 10.8.5.3.3 Healthcare & Pharmaceuticals
      • 10.8.5.3.4 Food & Beverage
      • 10.8.5.3.5 Consumer Goods
      • 10.8.5.3.6 Automotive
      • 10.8.5.3.7 Other End-User
    • 10.8.5.4 Segmentation By Organization Size
      • 10.8.5.4.1 Large Enterprises
      • 10.8.5.4.2 Small & Medium Enterprises (SMEs)
  • 10.8.6 Italy
    • 10.8.6.1 Segmentation By Component
      • 10.8.6.1.1 Software
      • 10.8.6.1.2 Services
    • 10.8.6.2 Segmentation By Deployment Mode
      • 10.8.6.2.1 Cloud-Based
      • 10.8.6.2.2 On-Premise
      • 10.8.6.2.3 Hybrid
    • 10.8.6.3 Segmentation By End-User
      • 10.8.6.3.1 Manufacturing
      • 10.8.6.3.2 Retail & E-commerce
      • 10.8.6.3.3 Healthcare & Pharmaceuticals
      • 10.8.6.3.4 Food & Beverage
      • 10.8.6.3.5 Consumer Goods
      • 10.8.6.3.6 Automotive
      • 10.8.6.3.7 Other End-User
    • 10.8.6.4 Segmentation By Organization Size
      • 10.8.6.4.1 Large Enterprises
      • 10.8.6.4.2 Small & Medium Enterprises (SMEs)
  • 10.8.7 Rest of Europe
    • 10.8.7.1 Segmentation By Component
      • 10.8.7.1.1 Software
      • 10.8.7.1.2 Services
    • 10.8.7.2 Segmentation By Deployment Mode
      • 10.8.7.2.1 Cloud-Based
      • 10.8.7.2.2 On-Premise
      • 10.8.7.2.3 Hybrid
    • 10.8.7.3 Segmentation By End-User
      • 10.8.7.3.1 Manufacturing
      • 10.8.7.3.2 Retail & E-commerce
      • 10.8.7.3.3 Healthcare & Pharmaceuticals
      • 10.8.7.3.4 Food & Beverage
      • 10.8.7.3.5 Consumer Goods
      • 10.8.7.3.6 Automotive
      • 10.8.7.3.7 Other End-User
    • 10.8.7.4 Segmentation By Organization Size
      • 10.8.7.4.1 Large Enterprises
      • 10.8.7.4.2 Small & Medium Enterprises (SMEs)

Chapter 11. Asia Pacific Market

• 11.1 Market Overview
• 11.2 Key Factors Impacting Market
  • 11.2.1 Market Drivers
  • 11.2.2 Market Restraints
  • 11.2.3 Market Opportunities
  • 11.2.4 Market Challenges
  • 11.2.5 Market Trends
  • 11.2.6 State of Competition
  • 11.2.7 Market Consolidation
  • 11.2.8 Key Customer Criteria
• 11.3 Product Life Cycle
• 11.4 Segmentation By Component
  • 11.4.1 Software
  • 11.4.2 Services
• 11.5 Segmentation By Deployment Mode
  • 11.5.1 Cloud-Based
  • 11.5.2 On-Premise
  • 11.5.3 Hybrid
• 11.6 Segmentation By End-User
  • 11.6.1 Manufacturing
  • 11.6.2 Retail & E-commerce
  • 11.6.3 Healthcare & Pharmaceuticals
  • 11.6.4 Food & Beverage
  • 11.6.5 Consumer Goods
  • 11.6.6 Automotive
  • 11.6.7 Other End-User
• 11.7 Segmentation By Organization Size
  • 11.7.1 Large Enterprises
  • 11.7.2 Small & Medium Enterprises (SMEs)
• 11.8 Segmentation By Country
  • 11.8.1 China
    • 11.8.1.1 Segmentation By Component
      • 11.8.1.1.1 Software
      • 11.8.1.1.2 Services
    • 11.8.1.2 Segmentation By Deployment Mode
      • 11.8.1.2.1 Cloud-Based
      • 11.8.1.2.2 On-Premise
      • 11.8.1.2.3 Hybrid
    • 11.8.1.3 Segmentation By End-User
      • 11.8.1.3.1 Manufacturing
      • 11.8.1.3.2 Retail & E-commerce
      • 11.8.1.3.3 Healthcare & Pharmaceuticals
      • 11.8.1.3.4 Food & Beverage
      • 11.8.1.3.5 Consumer Goods
      • 11.8.1.3.6 Automotive
      • 11.8.1.3.7 Other End-User
    • 11.8.1.4 Segmentation By Organization Size
      • 11.8.1.4.1 Large Enterprises
      • 11.8.1.4.2 Small & Medium Enterprises (SMEs)
  • 11.8.2 Japan
    • 11.8.2.1 Segmentation By Component
      • 11.8.2.1.1 Software
      • 11.8.2.1.2 Services
    • 11.8.2.2 Segmentation By Deployment Mode
      • 11.8.2.2.1 Cloud-Based
      • 11.8.2.2.2 On-Premise
      • 11.8.2.2.3 Hybrid
    • 11.8.2.3 Segmentation By End-User
      • 11.8.2.3.1 Manufacturing
      • 11.8.2.3.2 Retail & E-commerce
      • 11.8.2.3.3 Healthcare & Pharmaceuticals
      • 11.8.2.3.4 Food & Beverage
      • 11.8.2.3.5 Consumer Goods
      • 11.8.2.3.6 Automotive
      • 11.8.2.3.7 Other End-User
    • 11.8.2.4 Segmentation By Organization Size
      • 11.8.2.4.1 Large Enterprises
      • 11.8.2.4.2 Small & Medium Enterprises (SMEs)
  • 11.8.3 India
    • 11.8.3.1 Segmentation By Component
      • 11.8.3.1.1 Software
      • 11.8.3.1.2 Services
    • 11.8.3.2 Segmentation By Deployment Mode
      • 11.8.3.2.1 Cloud-Based
      • 11.8.3.2.2 On-Premise
      • 11.8.3.2.3 Hybrid
    • 11.8.3.3 Segmentation By End-User
      • 11.8.3.3.1 Manufacturing
      • 11.8.3.3.2 Retail & E-commerce
      • 11.8.3.3.3 Healthcare & Pharmaceuticals
      • 11.8.3.3.4 Food & Beverage
      • 11.8.3.3.5 Consumer Goods
      • 11.8.3.3.6 Automotive
      • 11.8.3.3.7 Other End-User
    • 11.8.3.4 Segmentation By Organization Size
      • 11.8.3.4.1 Large Enterprises
      • 11.8.3.4.2 Small & Medium Enterprises (SMEs)
  • 11.8.4 South Korea
    • 11.8.4.1 Segmentation By Component
      • 11.8.4.1.1 Software
      • 11.8.4.1.2 Services
    • 11.8.4.2 Segmentation By Deployment Mode
      • 11.8.4.2.1 Cloud-Based
      • 11.8.4.2.2 On-Premise
      • 11.8.4.2.3 Hybrid
    • 11.8.4.3 Segmentation By End-User
      • 11.8.4.3.1 Manufacturing
      • 11.8.4.3.2 Retail & E-commerce
      • 11.8.4.3.3 Healthcare & Pharmaceuticals
      • 11.8.4.3.4 Food & Beverage
      • 11.8.4.3.5 Consumer Goods
      • 11.8.4.3.6 Automotive
      • 11.8.4.3.7 Other End-User
    • 11.8.4.4 Segmentation By Organization Size
      • 11.8.4.4.1 Large Enterprises
      • 11.8.4.4.2 Small & Medium Enterprises (SMEs)
  • 11.8.5 Singapore
    • 11.8.5.1 Segmentation By Component
      • 11.8.5.1.1 Software
      • 11.8.5.1.2 Services
    • 11.8.5.2 Segmentation By Deployment Mode
      • 11.8.5.2.1 Cloud-Based
      • 11.8.5.2.2 On-Premise
      • 11.8.5.2.3 Hybrid
    • 11.8.5.3 Segmentation By End-User
      • 11.8.5.3.1 Manufacturing
      • 11.8.5.3.2 Retail & E-commerce
      • 11.8.5.3.3 Healthcare & Pharmaceuticals
      • 11.8.5.3.4 Food & Beverage
      • 11.8.5.3.5 Consumer Goods
      • 11.8.5.3.6 Automotive
      • 11.8.5.3.7 Other End-User
    • 11.8.5.4 Segmentation By Organization Size
      • 11.8.5.4.1 Large Enterprises
      • 11.8.5.4.2 Small & Medium Enterprises (SMEs)
  • 11.8.6 Malaysia
    • 11.8.6.1 Segmentation By Component
      • 11.8.6.1.1 Software
      • 11.8.6.1.2 Services
    • 11.8.6.2 Segmentation By Deployment Mode
      • 11.8.6.2.1 Cloud-Based
      • 11.8.6.2.2 On-Premise
      • 11.8.6.2.3 Hybrid
    • 11.8.6.3 Segmentation By End-User
      • 11.8.6.3.1 Manufacturing
      • 11.8.6.3.2 Retail & E-commerce
      • 11.8.6.3.3 Healthcare & Pharmaceuticals
      • 11.8.6.3.4 Food & Beverage
      • 11.8.6.3.5 Consumer Goods
      • 11.8.6.3.6 Automotive
      • 11.8.6.3.7 Other End-User
    • 11.8.6.4 Segmentation By Organization Size
      • 11.8.6.4.1 Large Enterprises
      • 11.8.6.4.2 Small & Medium Enterprises (SMEs)
  • 11.8.7 Rest of Asia Pacific
    • 11.8.7.1 Segmentation By Component
      • 11.8.7.1.1 Software
      • 11.8.7.1.2 Services
    • 11.8.7.2 Segmentation By Deployment Mode
      • 11.8.7.2.1 Cloud-Based
      • 11.8.7.2.2 On-Premise
      • 11.8.7.2.3 Hybrid
    • 11.8.7.3 Segmentation By End-User
      • 11.8.7.3.1 Manufacturing
      • 11.8.7.3.2 Retail & E-commerce
      • 11.8.7.3.3 Healthcare & Pharmaceuticals
      • 11.8.7.3.4 Food & Beverage
      • 11.8.7.3.5 Consumer Goods
      • 11.8.7.3.6 Automotive
      • 11.8.7.3.7 Other End-User
    • 11.8.7.4 Segmentation By Organization Size
      • 11.8.7.4.1 Large Enterprises
      • 11.8.7.4.2 Small & Medium Enterprises (SMEs)

Chapter 12. LAMEA Market

• 12.1 Market Overview
• 12.2 Key Factors Impacting Market
  • 12.2.1 Market Drivers
  • 12.2.2 Market Restraints
  • 12.2.3 Market Opportunities
  • 12.2.4 Market Challenges
  • 12.2.5 Market Trends
  • 12.2.6 State of Competition
  • 12.2.7 Market Consolidation
  • 12.2.8 Key Customer Criteria
• 12.3 Product Life Cycle
• 12.4 Segmentation By Component
  • 12.4.1 Software
  • 12.4.2 Services
• 12.5 Segmentation By Deployment Mode
  • 12.5.1 Cloud-Based
  • 12.5.2 On-Premise
  • 12.5.3 Hybrid
• 12.6 Segmentation By End-User
  • 12.6.1 Manufacturing
  • 12.6.2 Retail & E-commerce
  • 12.6.3 Healthcare & Pharmaceuticals
  • 12.6.4 Food & Beverage
  • 12.6.5 Consumer Goods
  • 12.6.6 Automotive
  • 12.6.7 Other End-User
• 12.7 Segmentation By Organization Size
  • 12.7.1 Large Enterprises
  • 12.7.2 Small & Medium Enterprises (SMEs)
• 12.8 Segmentation By Country
  • 12.8.1 Brazil
    • 12.8.1.1 Segmentation By Component
      • 12.8.1.1.1 Software
      • 12.8.1.1.2 Services
    • 12.8.1.2 Segmentation By Deployment Mode
      • 12.8.1.2.1 Cloud-Based
      • 12.8.1.2.2 On-Premise
      • 12.8.1.2.3 Hybrid
    • 12.8.1.3 Segmentation By End-User
      • 12.8.1.3.1 Manufacturing
      • 12.8.1.3.2 Retail & E-commerce
      • 12.8.1.3.3 Healthcare & Pharmaceuticals
      • 12.8.1.3.4 Food & Beverage
      • 12.8.1.3.5 Consumer Goods
      • 12.8.1.3.6 Automotive
      • 12.8.1.3.7 Other End-User
    • 12.8.1.4 Segmentation By Organization Size
      • 12.8.1.4.1 Large Enterprises
      • 12.8.1.4.2 Small & Medium Enterprises (SMEs)
  • 12.8.2 Argentina
    • 12.8.2.1 Segmentation By Component
      • 12.8.2.1.1 Software
      • 12.8.2.1.2 Services
    • 12.8.2.2 Segmentation By Deployment Mode
      • 12.8.2.2.1 Cloud-Based
      • 12.8.2.2.2 On-Premise
      • 12.8.2.2.3 Hybrid
    • 12.8.2.3 Segmentation By End-User
      • 12.8.2.3.1 Manufacturing
      • 12.8.2.3.2 Retail & E-commerce
      • 12.8.2.3.3 Healthcare & Pharmaceuticals
      • 12.8.2.3.4 Food & Beverage
      • 12.8.2.3.5 Consumer Goods
      • 12.8.2.3.6 Automotive
      • 12.8.2.3.7 Other End-User
    • 12.8.2.4 Segmentation By Organization Size
      • 12.8.2.4.1 Large Enterprises
      • 12.8.2.4.2 Small & Medium Enterprises (SMEs)
  • 12.8.3 UAE
    • 12.8.3.1 Segmentation By Component
      • 12.8.3.1.1 Software
      • 12.8.3.1.2 Services
    • 12.8.3.2 Segmentation By Deployment Mode
      • 12.8.3.2.1 Cloud-Based
      • 12.8.3.2.2 On-Premise
      • 12.8.3.2.3 Hybrid
    • 12.8.3.3 Segmentation By End-User
      • 12.8.3.3.1 Manufacturing
      • 12.8.3.3.2 Retail & E-commerce
      • 12.8.3.3.3 Healthcare & Pharmaceuticals
      • 12.8.3.3.4 Food & Beverage
      • 12.8.3.3.5 Consumer Goods
      • 12.8.3.3.6 Automotive
      • 12.8.3.3.7 Other End-User
    • 12.8.3.4 Segmentation By Organization Size
      • 12.8.3.4.1 Large Enterprises
      • 12.8.3.4.2 Small & Medium Enterprises (SMEs)
  • 12.8.4 Saudi Arabia
    • 12.8.4.1 Segmentation By Component
      • 12.8.4.1.1 Software
      • 12.8.4.1.2 Services
    • 12.8.4.2 Segmentation By Deployment Mode
      • 12.8.4.2.1 Cloud-Based
      • 12.8.4.2.2 On-Premise
      • 12.8.4.2.3 Hybrid
    • 12.8.4.3 Segmentation By End-User
      • 12.8.4.3.1 Manufacturing
      • 12.8.4.3.2 Retail & E-commerce
      • 12.8.4.3.3 Healthcare & Pharmaceuticals
      • 12.8.4.3.4 Food & Beverage
      • 12.8.4.3.5 Consumer Goods
      • 12.8.4.3.6 Automotive
      • 12.8.4.3.7 Other End-User
    • 12.8.4.4 Segmentation By Organization Size
      • 12.8.4.4.1 Large Enterprises
      • 12.8.4.4.2 Small & Medium Enterprises (SMEs)
  • 12.8.5 South Africa
    • 12.8.5.1 Segmentation By Component
      • 12.8.5.1.1 Software
      • 12.8.5.1.2 Services
    • 12.8.5.2 Segmentation By Deployment Mode
      • 12.8.5.2.1 Cloud-Based
      • 12.8.5.2.2 On-Premise
      • 12.8.5.2.3 Hybrid
    • 12.8.5.3 Segmentation By End-User
      • 12.8.5.3.1 Manufacturing
      • 12.8.5.3.2 Retail & E-commerce
      • 12.8.5.3.3 Healthcare & Pharmaceuticals
      • 12.8.5.3.4 Food & Beverage
      • 12.8.5.3.5 Consumer Goods
      • 12.8.5.3.6 Automotive
      • 12.8.5.3.7 Other End-User
    • 12.8.5.4 Segmentation By Organization Size
      • 12.8.5.4.1 Large Enterprises
      • 12.8.5.4.2 Small & Medium Enterprises (SMEs)
  • 12.8.6 Nigeria
    • 12.8.6.1 Segmentation By Component
      • 12.8.6.1.1 Software
      • 12.8.6.1.2 Services
    • 12.8.6.2 Segmentation By Deployment Mode
      • 12.8.6.2.1 Cloud-Based
      • 12.8.6.2.2 On-Premise
      • 12.8.6.2.3 Hybrid
    • 12.8.6.3 Segmentation By End-User
      • 12.8.6.3.1 Manufacturing
      • 12.8.6.3.2 Retail & E-commerce
      • 12.8.6.3.3 Healthcare & Pharmaceuticals
      • 12.8.6.3.4 Food & Beverage
      • 12.8.6.3.5 Consumer Goods
      • 12.8.6.3.6 Automotive
      • 12.8.6.3.7 Other End-User
    • 12.8.6.4 Segmentation By Organization Size
      • 12.8.6.4.1 Large Enterprises
      • 12.8.6.4.2 Small & Medium Enterprises (SMEs)
  • 12.8.7 Rest of LAMEA
    • 12.8.7.1 Segmentation By Component
      • 12.8.7.1.1 Software
      • 12.8.7.1.2 Services
    • 12.8.7.2 Segmentation By Deployment Mode
      • 12.8.7.2.1 Cloud-Based
      • 12.8.7.2.2 On-Premise
      • 12.8.7.2.3 Hybrid
    • 12.8.7.3 Segmentation By End-User
      • 12.8.7.3.1 Manufacturing
      • 12.8.7.3.2 Retail & E-commerce
      • 12.8.7.3.3 Healthcare & Pharmaceuticals
      • 12.8.7.3.4 Food & Beverage
      • 12.8.7.3.5 Consumer Goods
      • 12.8.7.3.6 Automotive
      • 12.8.7.3.7 Other End-User
    • 12.8.7.4 Segmentation By Organization Size
      • 12.8.7.4.1 Large Enterprises
      • 12.8.7.4.2 Small & Medium Enterprises (SMEs)

Chapter 13. Company Snapshot

• 13.1 SAP SE
  • 13.1.1 Business Overview
  • 13.1.2 Key Information
  • 13.1.3 Company Focus
  • 13.1.4 Strategic Insights
  • 13.1.5 Strategy Deployed
  • 13.1.6 Product & Service Portfolio
  • 13.1.7 Capability Overview
  • 13.1.8 Technology & Innovation Focus
  • 13.1.9 Customers / End Users
  • 13.1.10 Competitive Positioning
  • 13.1.11 Key Differentiators
  • 13.1.12 Portfolio Matrix
  • 13.1.13 SWOT Analysis
  • 13.1.14 Future Outlook
• 13.2 Oracle Corporation
  • 13.2.1 Business Overview
  • 13.2.2 Key Information
  • 13.2.3 Company Focus
  • 13.2.4 Strategic Insights
  • 13.2.5 Strategy Deployed
  • 13.2.6 Product & Service Portfolio
  • 13.2.7 Capability Overview
  • 13.2.8 Technology & Innovation Focus
  • 13.2.9 Customers / End Users
  • 13.2.10 Competitive Positioning
  • 13.2.11 Key Differentiators
  • 13.2.12 Portfolio Matrix
  • 13.2.13 SWOT Analysis
  • 13.2.14 Future Outlook
• 13.3 Microsoft Corporation
  • 13.3.1 Business Overview
  • 13.3.2 Key Information
  • 13.3.3 Company Focus
  • 13.3.4 Strategic Insights
  • 13.3.5 Strategy Deployed
  • 13.3.6 Product & Service Portfolio
  • 13.3.7 Capability Overview
  • 13.3.8 Technology & Innovation Focus
  • 13.3.9 Customers / End Users
  • 13.3.10 Competitive Positioning
  • 13.3.11 Key Differentiators
  • 13.3.12 Portfolio Matrix
  • 13.3.13 SWOT Analysis
  • 13.3.14 Future Outlook
• 13.4 Blue Yonder Group, Inc. (Panasonic Holdings Corporation)
  • 13.4.1 Business Overview
  • 13.4.2 Key Information
  • 13.4.3 Company Focus
  • 13.4.4 Strategic Insights
  • 13.4.5 Strategy Deployed
  • 13.4.6 Product & Service Portfolio
  • 13.4.7 Capability Overview
  • 13.4.8 Technology & Innovation Focus
  • 13.4.9 Customers / End Users
  • 13.4.10 Competitive Positioning
  • 13.4.11 Key Differentiators
  • 13.4.12 Portfolio Matrix
  • 13.4.13 SWOT Analysis
  • 13.4.14 Future Outlook
• 13.5 Kinaxis, Inc.
  • 13.5.1 Business Overview
  • 13.5.2 Key Information
  • 13.5.3 Company Focus
  • 13.5.4 Strategic Insights
  • 13.5.5 Strategy Deployed
  • 13.5.6 Product & Service Portfolio
  • 13.5.7 Capability Overview
  • 13.5.8 Technology & Innovation Focus
  • 13.5.9 Customers / End Users
  • 13.5.10 Competitive Positioning
  • 13.5.11 Key Differentiators
  • 13.5.12 Portfolio Matrix
  • 13.5.13 SWOT Analysis
  • 13.5.14 Future Outlook
• 13.6 Epicor Software Corporation
  • 13.6.1 Business Overview
  • 13.6.2 Key Information
  • 13.6.3 Company Focus
  • 13.6.4 Strategic Insights
  • 13.6.5 Strategy Deployed
  • 13.6.6 Product & Service Portfolio
  • 13.6.7 Capability Overview
  • 13.6.8 Technology & Innovation Focus
  • 13.6.9 Customers / End Users
  • 13.6.10 Competitive Positioning
  • 13.6.11 Key Differentiators
  • 13.6.12 Portfolio Matrix
  • 13.6.13 SWOT Analysis
  • 13.6.14 Future Outlook
• 13.7 The Sage Group plc
  • 13.7.1 Business Overview
  • 13.7.2 Key Information
  • 13.7.3 Company Focus
  • 13.7.4 Strategic Insights
  • 13.7.5 Strategy Deployed
  • 13.7.6 Product & Service Portfolio
  • 13.7.7 Capability Overview
  • 13.7.8 Technology & Innovation Focus
  • 13.7.9 Customers / End Users
  • 13.7.10 Competitive Positioning
  • 13.7.11 Key Differentiators
  • 13.7.12 Portfolio Matrix
  • 13.7.13 SWOT Analysis
  • 13.7.14 Future Outlook
• 13.8 Manhattan Associates, Inc.
  • 13.8.1 Business Overview
  • 13.8.2 Key Information
  • 13.8.3 Company Focus
  • 13.8.4 Strategic Insights
  • 13.8.5 Strategy Deployed
  • 13.8.6 Product & Service Portfolio
  • 13.8.7 Capability Overview
  • 13.8.8 Technology & Innovation Focus
  • 13.8.9 Customers / End Users
  • 13.8.10 Competitive Positioning
  • 13.8.11 Key Differentiators
  • 13.8.12 Portfolio Matrix
  • 13.8.13 SWOT Analysis
  • 13.8.14 Future Outlook
• 13.9 Infor, Inc. (Koch Industries)
  • 13.9.1 Business Overview
  • 13.9.2 Key Information
  • 13.9.3 Company Focus
  • 13.9.4 Strategic Insights
  • 13.9.5 Strategy Deployed
  • 13.9.6 Product & Service Portfolio
  • 13.9.7 Capability Overview
  • 13.9.8 Technology & Innovation Focus
  • 13.9.9 Customers / End Users
  • 13.9.10 Competitive Positioning
  • 13.9.11 Key Differentiators
  • 13.9.12 Portfolio Matrix
  • 13.9.13 SWOT Analysis
  • 13.9.14 Future Outlook
• 13.10 Workday, Inc.
  • 13.10.1 Business Overview
  • 13.10.2 Key Information
  • 13.10.3 Company Focus
  • 13.10.4 Strategic Insights
  • 13.10.5 Strategy Deployed
  • 13.10.6 Product & Service Portfolio
  • 13.10.7 Capability Overview
  • 13.10.8 Technology & Innovation Focus
  • 13.10.9 Customers / End Users
  • 13.10.10 Competitive Positioning
  • 13.10.11 Key Differentiators
  • 13.10.12 Portfolio Matrix
  • 13.10.13 SWOT Analysis
  • 13.10.14 Future Outlook

Chapter 14. Winning Imperatives of Supply Chain ERP Market