세계의 공급망 디지털 프로세스 자동화 시장 : 부문별 예측(2025-2030년)

The Supply Chain Digital Process Automation Market was valued at USD 4.89 billion in 2023, expected to reach USD 5.37 billion in 2024, and is projected to grow at a CAGR of 10.24%, to USD 9.68 billion by 2030.

Digital Process Automation (DPA) within the supply chain refers to the strategic implementation of technology to streamline, optimize, and automate business processes. The necessity of DPA arises from the need to enhance operational efficiency, reduce human errors, and accelerate decision-making capabilities. It is applied across various functions of the supply chain, including procurement, logistics, inventory management, and customer service, ultimately servicing end-users in industries such as manufacturing, retail, healthcare, and automotive. The market for DPA is driven by the increasing complexity of global supply chains, the demand for real-time data analytics, and the integration of AI and machine learning technologies. Key growth factors include the rapid digitization of traditional processes, the need for increased agility in response to market demands, and heightened competition that drives cost efficiencies and value-added services.

Potential opportunities in this market include the development of predictive analytics tools for inventory management, enhanced collaboration platforms for suppliers and partners, and cloud-based solutions that offer scalability and flexibility. To seize these opportunities, companies should invest in training for skilled personnel to handle sophisticated platforms and establish partnerships with tech firms specializing in AI and DPA. However, market growth might be challenged by limitations such as high initial implementation costs, potential resistance to change from traditional supply chain entities, and cybersecurity risks. Innovatively, businesses could explore the integration of blockchain technology to enhance transparency and security within the supply chain or delve into the utilization of IoT devices for real-time tracking and monitoring of goods. The market is dynamic, characterized by rapid technological advancements and evolving customer expectations, requiring continuous investment in R&D to maintain competitive advantage. Ultimately, the future landscape of DPA in supply chains hinges on its ability to further transform efficiency, adapt to technological changes, and maintain robust security frameworks.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Supply Chain Digital Process Automation Market

The Supply Chain Digital Process Automation Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Effective utilization of digital process automation to streamline supply chain operations and reduce costs
  • Growing adoption of advanced technologies within the supply chain industry to enhance operational efficiency
  • Increasing need for real-time data visibility and analytics capabilities in supply chain management
  • Pressure to meet customer demand and improve service delivery through digital process automation
• Market Restraints
  • Lack of skilled workforce capable of handling sophisticated digital process automation technologies impacting the supply chain market
• Market Opportunities
  • Leveraging ai-based solutions for enhanced supply chain visibility and process efficiency
  • Implementing blockchain technology for secure and transparent supply chain transactions
  • Utilizing advanced analytics for predictive maintenance and demand forecasting in supply chains
• Market Challenges
  • Resistance to change within organizations leads to slow adoption rates of digital process automation in supply chain management

Porter's Five Forces: A Strategic Tool for Navigating the Supply Chain Digital Process Automation Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Supply Chain Digital Process Automation Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Supply Chain Digital Process Automation Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Supply Chain Digital Process Automation Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Supply Chain Digital Process Automation Market

A detailed market share analysis in the Supply Chain Digital Process Automation Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Supply Chain Digital Process Automation Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Supply Chain Digital Process Automation Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Supply Chain Digital Process Automation Market

A strategic analysis of the Supply Chain Digital Process Automation Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Supply Chain Digital Process Automation Market, highlighting leading vendors and their innovative profiles. These include Basware Corporation, Blue Yonder Group, Inc., Coupa Software Inc., E2open, LLC, Epicor Software Corporation, GEP Worldwide, HighJump (now part of Korber), IBM Corporation, Infor, Jaggaer, JDA Software Group, Inc. (now part of Blue Yonder), Kinaxis Inc., Korber AG, Logility, Inc., Manhattan Associates, Inc., Oracle Corporation, QAD Inc., SAP SE, Siemens AG, and The Descartes Systems Group Inc..

Market Segmentation & Coverage

This research report categorizes the Supply Chain Digital Process Automation Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Components, market is studied across Services and Software. The Services is further studied across Implementation and Support and Maintenance. The Software is further studied across Robotic Process Automation.
• Based on Deployment Type, market is studied across Cloud and On-Premises.
• Based on Organization Size, market is studied across Large Enterprises and Small and Medium-Sized Enterprises (SMEs).
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

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

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Effective utilization of digital process automation to streamline supply chain operations and reduce costs
    • 5.1.1.2. Growing adoption of advanced technologies within the supply chain industry to enhance operational efficiency
    • 5.1.1.3. Increasing need for real-time data visibility and analytics capabilities in supply chain management
    • 5.1.1.4. Pressure to meet customer demand and improve service delivery through digital process automation
  • 5.1.2. Restraints
    • 5.1.2.1. Lack of skilled workforce capable of handling sophisticated digital process automation technologies impacting the supply chain market
  • 5.1.3. Opportunities
    • 5.1.3.1. Leveraging ai-based solutions for enhanced supply chain visibility and process efficiency
    • 5.1.3.2. Implementing blockchain technology for secure and transparent supply chain transactions
    • 5.1.3.3. Utilizing advanced analytics for predictive maintenance and demand forecasting in supply chains
  • 5.1.4. Challenges
    • 5.1.4.1. Resistance to change within organizations leads to slow adoption rates of digital process automation in supply chain management
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Supply Chain Digital Process Automation Market, by Components

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Implementation
  • 6.2.2. Support and Maintenance
• 6.3. Software
  • 6.3.1. Robotic Process Automation

7. Supply Chain Digital Process Automation Market, by Deployment Type

• 7.1. Introduction
• 7.2. Cloud
• 7.3. On-Premises

8. Supply Chain Digital Process Automation Market, by Organization Size

• 8.1. Introduction
• 8.2. Large Enterprises
• 8.3. Small and Medium-Sized Enterprises (SMEs)

9. Americas Supply Chain Digital Process Automation Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Supply Chain Digital Process Automation Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Supply Chain Digital Process Automation Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Basware Corporation
• 2. Blue Yonder Group, Inc.
• 3. Coupa Software Inc.
• 4. E2open, LLC
• 5. Epicor Software Corporation
• 6. GEP Worldwide
• 7. HighJump (now part of Korber)
• 8. IBM Corporation
• 9. Infor
• 10. Jaggaer
• 11. JDA Software Group, Inc. (now part of Blue Yonder)
• 12. Kinaxis Inc.
• 13. Korber AG
• 14. Logility, Inc.
• 15. Manhattan Associates, Inc.
• 16. Oracle Corporation
• 17. QAD Inc.
• 18. SAP SE
• 19. Siemens AG
• 20. The Descartes Systems Group Inc.