인지 공급망 시장 규모, 점유율, 동향 분석 보고서 : 전개별, 기업 규모별, 사용 자동화별, 산업별, 지역별, 부문별 예측(2025-2030년)

Cognitive Supply Chain Market Growth & Trends:

The global cognitive supply chain market size is estimated to reach USD 21,352.2 million by 2030, expanding at a CAGR of 17.6% from 2025 to 2030, according to a new report by Grand View Research, Inc. The market has experienced significant growth and transformation due to various converging factors. A key driver behind this market's advancement is the increasing adoption of data-driven decision-making. Businesses can effectively handle and examine large datasets by leveraging sophisticated analytics and AI capabilities. These cognitive technologies offer valuable insights, enabling companies to enhance inventory management, optimize demand forecasting, and improve logistics operations with high accuracy and effectiveness.

The adoption of cognitive supply chain solutions has been significantly influenced by the integration of automation, which has revolutionized how businesses handle their supply chain processes. Utilizing the capabilities of machine learning and robotic process automation (RPA), companies can automate numerous repetitive and time-consuming tasks throughout the supply chain. Machine learning, a specialized aspect of artificial intelligence (AI), enables cognitive supply chain systems to assimilate insights from historical data, detecting patterns and trends that may go unnoticed by humans. Consequently, the system can make precise predictions and data-informed choices. For example, machine learning algorithms can analyze previous sales data and other variables to anticipate future demand, guaranteeing appropriate inventory levels at the right moments.

Conversely, robotic process automation refers to using software bots to execute rule-based tasks previously carried out manually by human workers. RPA handles tasks like data entry, invoice processing, and order tracking quickly and precisely. This automation allows employees to focus on more valuable and strategic activities, enhancing productivity and efficiency within the organization. One of the benefits of incorporating automation into the supply chain is its capacity to lower operational expenses. By automating tasks that once required significant human labor, companies can streamline their processes, eliminate the need for manual work, and optimize resource utilization. Consequently, this reduction in costs can substantially impact the company's financial performance, freeing up funds that can be reinvested into other crucial areas of the business.

The increasing focus on sustainability and environmental issues has become a key motivator for businesses to embrace eco-conscious practices across their supply chains. Cognitive solutions, which harness advanced technologies like artificial intelligence and machine learning, play a crucial role in assisting businesses to attain their sustainability objectives and cater to the preferences of environmentally aware consumers. One of the ways cognitive solutions contribute to eco-friendly supply chains is by optimizing transportation routes. Transportation represents a significant source of greenhouse gas emissions, and inefficient routes can lead to higher fuel consumption and an increased carbon footprint. Cognitive technologies can analyze transportation data, including traffic conditions and other pertinent factors, to identify the most efficient delivery routes. By minimizing distances traveled and optimizing delivery schedules, companies can decrease fuel consumption and emissions, thus promoting a more environmentally conscious supply chain.

Cognitive Supply Chain Market Report Highlights:

• The cloud deployment segment market is expected to witness substantial growth with a CAGR of 18.7% on account of the rising popularity in the market is its scalability. Cloud-based solutions allow businesses to adjust their resources based on demand fluctuations and evolving business needs
• By enterprise size, the SME segment is expected to be a key segment, exhibiting the highest CAGR over the forecast period. One key factor contributing to the growth of the SME enterprise segment in the market is cost-effectiveness. SMEs can now access cloud-based cognitive supply chain platforms that require lower upfront investment than traditional on-premises solutions, making them more feasible for smaller budgets
• Machine Learning (ML) segment is expected to dominate the market in the upcoming years. ML automation in the market segment allows businesses to streamline and optimize their supply chain processes, reduce operational costs, improve efficiency, and make data-driven decisions. By automating repetitive tasks, analyzing vast amounts of data, and identifying patterns and insights, ML-driven solutions can help companies gain a competitive edge in the market
• Asia Pacific is anticipated to register a higher CAGR over the forecast period. The Asia Pacific market has witnessed substantial growth over the past few years, driven by a convergence of technological advancements and a burgeoning demand for efficient supply chain management solutions
• The market is fragmented and is dominated by key players such as IBM Corporation, Oracle, Amazon.com, Accenture plc, Intel Corporation, NVIDIA Corporation, Honeywell International Inc., C.H. Robinson Worldwide, Inc., Panasonic, and SAP SE among others

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Research Methodology
  • 1.2.1. Information Procurement
• 1.3. Information or Data Analysis
• 1.4. Methodology
• 1.5. Research Scope and Assumptions
• 1.6. Market Formulation & Validation
• 1.7. Country Based Segment Share Calculation
• 1.8. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. Cognitive Supply Chain Market Variables, Trends, & Scope

• 3.1. Market Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Driver Analysis
  • 3.2.2. Market Restraint Analysis
  • 3.2.3. Industry Challenge
• 3.3. Cognitive Supply Chain Market Analysis Tools
  • 3.3.1. Industry Analysis - Porter's
    • 3.3.1.1. Bargaining power of the suppliers
    • 3.3.1.2. Bargaining power of the buyers
    • 3.3.1.3. Threats of substitution
    • 3.3.1.4. Threats from new entrants
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Economic and social landscape
    • 3.3.2.3. Technological landscape
• 3.4. Pain Point Analysis

Chapter 4. Cognitive Supply Chain Market: Deployment Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. Cognitive Supply Chain Market: Deployment Movement Analysis, USD Million, 2024 & 2030
• 4.3. Cloud
  • 4.3.1. Cloud Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)
• 4.4. On-Premise
  • 4.4.1. On-Premise Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)

Chapter 5. Cognitive Supply Chain Market: Enterprise Size Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. Cognitive Supply Chain Market: Enterprise Size Movement Analysis, USD Million, 2024 & 2030
• 5.3. SMEs
  • 5.3.1. SMEs Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)
• 5.4. Large Enterprises
  • 5.4.1. Large Enterprises Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)

Chapter 6. Cognitive Supply Chain Market: Automation Used Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. Cognitive Supply Chain Market: Automation Used Movement Analysis, USD Million, 2024 & 2030
• 6.3. Internet of Things (IoT)
  • 6.3.1. Internet of Things (IoT) Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)
• 6.4. Machine Learning (ML)
  • 6.4.1. Machine Learning (ML) Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)
• 6.5. Others
  • 6.5.1. Others Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)

Chapter 7. Cognitive Supply Chain Market: Industry Verticals Estimates & Trend Analysis

• 7.1. Segment Dashboard
• 7.2. Cognitive Supply Chain Market: Industry Verticals Movement Analysis, USD Million, 2024 & 2030
• 7.3. Manufacturing
  • 7.3.1. Manufacturing Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)
• 7.4. Retail & E-commerce
  • 7.4.1. Retail & E-commerce Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)
• 7.5. Logistics and Transportation
  • 7.5.1. Logistics and Transportation Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)
• 7.6. Healthcare
  • 7.6.1. Healthcare Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)
• 7.7. Food and Beverage
  • 7.7.1. Food and Beverage Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)
• 7.8. Others
  • 7.8.1. Others Market Revenue Estimates and Forecasts, 2019 - 2030 (USD Million)

Chapter 8. Cognitive Supply Chain Market: Regional Estimates & Trend Analysis

• 8.1. Cognitive Supply Chain Market Share, By Region, 2024 & 2030 (USD Million)
• 8.2. North America
  • 8.2.1. North America Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.2.2. U.S.
    • 8.2.2.1. U.S. Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.2.3. Canada
    • 8.2.3.1. Canada Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.2.4. Mexico
    • 8.2.4.1. Mexico Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
• 8.3. Europe
  • 8.3.1. Europe Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.3.2. UK
    • 8.3.2.1. UK Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.3.3. Germany
    • 8.3.3.1. Germany Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.3.4. France
    • 8.3.4.1. France Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
• 8.4. Asia Pacific
  • 8.4.1. Asia Pacific Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.4.2. China
    • 8.4.2.1. China Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.4.3. Japan
    • 8.4.3.1. Japan Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.4.4. India
    • 8.4.4.1. India Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.4.5. South Korea
    • 8.4.5.1. South Korea Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.4.6. Australia
    • 8.4.6.1. Australia Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
• 8.5. Latin America
  • 8.5.1. Latin America Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.5.2. Brazil
    • 8.5.2.1. Brazil Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
• 8.6. Middle East and Africa
  • 8.6.1. Middle East and Africa Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.6.2. UAE
    • 8.6.2.1. UAE Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.6.3. KSA
    • 8.6.3.1. KSA Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)
  • 8.6.4. South Africa
    • 8.6.4.1. South Africa Cognitive Supply Chain Market Estimates and Forecasts, 2019 - 2030 (USD Million)

Chapter 9. Competitive Landscape

• 9.1. Company Categorization
• 9.2. Company Market Positioning
• 9.3. Company Heat Map Analysis
• 9.4. Company Profiles/Listing
  • 9.4.1. IBM Corporation
    • 9.4.1.1. Participant's Overview
    • 9.4.1.2. Financial Performance
    • 9.4.1.3. Product Benchmarking
    • 9.4.1.4. Strategic Initiatives
  • 9.4.2. Oracle
    • 9.4.2.1. Participant's Overview
    • 9.4.2.2. Financial Performance
    • 9.4.2.3. Product Benchmarking
    • 9.4.2.4. Strategic Initiatives
  • 9.4.3. Amazon.com
    • 9.4.3.1. Participant's Overview
    • 9.4.3.2. Financial Performance
    • 9.4.3.3. Product Benchmarking
    • 9.4.3.4. Strategic Initiatives
  • 9.4.4. Accenture plc
    • 9.4.4.1. Participant's Overview
    • 9.4.4.2. Financial Performance
    • 9.4.4.3. Product Benchmarking
    • 9.4.4.4. Strategic Initiatives
  • 9.4.5. Intel Corporation
    • 9.4.5.1. Participant's Overview
    • 9.4.5.2. Financial Performance
    • 9.4.5.3. Product Benchmarking
    • 9.4.5.4. Strategic Initiatives
  • 9.4.6. NVIDIA Corporation
    • 9.4.6.1. Participant's Overview
    • 9.4.6.2. Financial Performance
    • 9.4.6.3. Product Benchmarking
    • 9.4.6.4. Strategic Initiatives
  • 9.4.7. Honeywell International Inc.
    • 9.4.7.1. Participant's Overview
    • 9.4.7.2. Financial Performance
    • 9.4.7.3. Product Benchmarking
    • 9.4.7.4. Strategic Initiatives
  • 9.4.8. C.H. Robinson Worldwide, Inc.
    • 9.4.8.1. Participant's Overview
    • 9.4.8.2. Financial Performance
    • 9.4.8.3. Product Benchmarking
    • 9.4.8.4. Strategic Initiatives
  • 9.4.9. Panasonic
    • 9.4.9.1. Participant's Overview
    • 9.4.9.2. Financial Performance
    • 9.4.9.3. Product Benchmarking
    • 9.4.9.4. Strategic Initiatives
  • 9.4.10. SAP SE
    • 9.4.10.1. Participant's Overview
    • 9.4.10.2. Financial Performance
    • 9.4.10.3. Product Benchmarking
    • 9.4.10.4. Strategic Initiatives