세계의 공급망용 인공지능(AI) 시장 : 부문별 예측(2025-2030년)

The Artificial Intelligence in Supply Chain Market was valued at USD 4.22 billion in 2023, expected to reach USD 5.32 billion in 2024, and is projected to grow at a CAGR of 26.15%, to USD 21.46 billion by 2030.

Artificial Intelligence (AI) in Supply Chain represents the integration of machine learning algorithms and data analytics to enhance the efficiency and effectiveness of supply chain operations. The necessity for AI arises from the ever-increasing demand for real-time data analysis, error reduction, predictive insights, and cost efficiency in managing supply chain processes. AI applications in this field include demand forecasting, inventory management, logistics optimization, and supplier relationship management. End-use scope encompasses industries like retail, manufacturing, food and beverage, and healthcare, which leverage AI to streamline operations and improve profitability. Market insights reveal that key growth factors include advancements in IoT technology, the surge in data volumes, increased demand for process automation, and heightened consumer expectations for faster delivery. One of the latest opportunities lies in integrating AI with blockchain to enhance transparency and traceability. Companies can potentially capitalize on these opportunities by investing in AI-driven analytics platforms and fostering partnerships with technology providers. However, significant limitations and challenges include high implementation costs, data privacy concerns, algorithmic bias, and the reluctance of traditional supply chain professionals to adopt new technologies. Overcoming these challenges necessitates concerted efforts in change management, training, and gradually phasing the integration of AI. Innovation opportunities reside in developing resilient AI models that can withstand supply chain disruptions, creating adaptive learning systems that continuously improve, and leveraging AI for sustainable practices like reducing carbon footprints. Continuous investment in R&D, exploring collaborative ecosystems, and expanding AI use cases beyond traditional applications are paramount for growth. The nature of the market is highly dynamic, with rapid technological advancements driving the need for companies to remain agile, well-informed, and willing to innovate in deploying AI across their supply chains to stay competitive.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Supply Chain Market

The Artificial Intelligence in Supply Chain 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
  • Increasing necessity for better visibility and transparency in supply chain network
  • Growing demand for systematic and efficient inventory management
  • Rising focus on reduction in warehouse cost
• Market Restraints
  • High cost of AI enabled softwares
• Market Opportunities
  • Rapidly growing e-commerce industry
  • Growing inclination towards digitized supply chain
• Market Challenges
  • Dearth of skilled workforce to manage AI softwares

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Supply Chain Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Supply Chain 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 Artificial Intelligence in Supply Chain Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Supply Chain 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 Artificial Intelligence in Supply Chain Market

A detailed market share analysis in the Artificial Intelligence in Supply Chain 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 Artificial Intelligence in Supply Chain Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Supply Chain 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 Artificial Intelligence in Supply Chain Market

A strategic analysis of the Artificial Intelligence in Supply Chain 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 Artificial Intelligence in Supply Chain Market, highlighting leading vendors and their innovative profiles. These include Alibaba Group Holding Limited, Amazon.com, Inc., American Software, Inc., Berkshire Grey, Inc., Coupa Software Inc., Deutsche Post AG, Intel Corporation, International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, RELEX Solutions, SAP SE, and Splice Machine, Inc..

Market Segmentation & Coverage

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

• Based on Offering, market is studied across Hardware, Services, and Software. The Hardware is further studied across Memory, Network, and Processors. The Services is further studied across Deployment & Integration and Support & Maintenance.
• Based on Technology, market is studied across Augmented Reality, Computer Vision, Context-Aware Computing, Machine Learning, and Natural Language Processing. The Machine Learning is further studied across Reinforcement Learning, Supervised Learning, and Unsupervised Learning.
• Based on Application, market is studied across Fleet Management, Freight Brokerage, Risk Management, Supply Chain Planning, Virtual Assistant, and Warehouse Management.
• Based on Industry, market is studied across Aerospace, Automotive, Consumer-Packaged Goods, Food & Beverages, Healthcare, Manufacturing, and Retail.
• 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. Increasing necessity for better visibility and transparency in supply chain network
    • 5.1.1.2. Growing demand for systematic and efficient inventory management
    • 5.1.1.3. Rising focus on reduction in warehouse cost
  • 5.1.2. Restraints
    • 5.1.2.1. High cost of AI enabled softwares
  • 5.1.3. Opportunities
    • 5.1.3.1. Rapidly growing e-commerce industry
    • 5.1.3.2. Growing inclination towards digitized supply chain
  • 5.1.4. Challenges
    • 5.1.4.1. Dearth of skilled workforce to manage AI softwares
• 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. Artificial Intelligence in Supply Chain Market, by Offering

• 6.1. Introduction
• 6.2. Hardware
  • 6.2.1. Memory
  • 6.2.2. Network
  • 6.2.3. Processors
• 6.3. Services
  • 6.3.1. Deployment & Integration
  • 6.3.2. Support & Maintenance
• 6.4. Software

7. Artificial Intelligence in Supply Chain Market, by Technology

• 7.1. Introduction
• 7.2. Augmented Reality
• 7.3. Computer Vision
• 7.4. Context-Aware Computing
• 7.5. Machine Learning
  • 7.5.1. Reinforcement Learning
  • 7.5.2. Supervised Learning
  • 7.5.3. Unsupervised Learning
• 7.6. Natural Language Processing

8. Artificial Intelligence in Supply Chain Market, by Application

• 8.1. Introduction
• 8.2. Fleet Management
• 8.3. Freight Brokerage
• 8.4. Risk Management
• 8.5. Supply Chain Planning
• 8.6. Virtual Assistant
• 8.7. Warehouse Management

9. Artificial Intelligence in Supply Chain Market, by Industry

• 9.1. Introduction
• 9.2. Aerospace
• 9.3. Automotive
• 9.4. Consumer-Packaged Goods
• 9.5. Food & Beverages
• 9.6. Healthcare
• 9.7. Manufacturing
• 9.8. Retail

10. Americas Artificial Intelligence in Supply Chain Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Artificial Intelligence in Supply Chain Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. China
• 11.4. India
• 11.5. Indonesia
• 11.6. Japan
• 11.7. Malaysia
• 11.8. Philippines
• 11.9. Singapore
• 11.10. South Korea
• 11.11. Taiwan
• 11.12. Thailand
• 11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence in Supply Chain Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Alibaba Group Holding Limited
• 2. Amazon.com, Inc.
• 3. American Software, Inc.
• 4. Berkshire Grey, Inc.
• 5. Coupa Software Inc.
• 6. Deutsche Post AG
• 7. Intel Corporation
• 8. International Business Machines Corporation
• 9. Micron Technology, Inc.
• 10. Microsoft Corporation
• 11. NVIDIA Corporation
• 12. Oracle Corporation
• 13. RELEX Solutions
• 14. SAP SE
• 15. Splice Machine, Inc.