The global cognitive supply chain market revenue was around US$ 7.28 billion in 2022 and is estimated to reach US$ 26.8 billion by 2031, growing at a compound annual growth rate (CAGR) of 15.6% during the forecast period from 2023 to 2031.
The cognitive supply chain is very different from its transactional forerunner. It is process-centric and digitally directed rather than just being digitally enabled. This new model is already taking shape as digital technologies with embedded analytics come together to acquire, store, process, and distribute data. This evolution is facilitated naturally by new skill sets and scalable, more flexible operational models.
Market Driving Factors
Data explosion, machine learning and artificial intelligence (AI) advancements, and demand for real-time visibility are projected to drive market growth. The proliferation of data in today’s digital age, generated by IoT devices, sensors, and several supply chain processes, creates a huge amount of information. Cognitive supply chain solutions can harness this data to extract insightful information, driving smarter decision-making. Additionally, constant developments in machine learning and AI algorithms allow cognitive supply chain solutions to perform increasingly difficult tasks. These include more precise demand forecasting, optimization of supply chain operations, and predictive maintenance leading to improved overall efficiency.
The adoption of cloud-based solutions is an increasing trend in the market. Cloud technology provides flexible and scalable platforms for analyzing, storing, and accessing huge amounts of supply chain data. This trend allows companies to harness cognitive computing and analytics tools that need substantial computing resources and power, all while enjoying the advantages of accessibility and price effectiveness. In addition, cloud-based solutions promote real-time information sharing, collaboration, and visibility across the supply chain, making it simple for businesses to optimize their operations, improve decision-making, and react to market changes swiftly.
Data security and privacy are substantial challenges in the market.
Regional Analysis
In 2022, North America dominated the market and is estimated to maintain its dominance over the forecast period. The United States is leading the way in supply chain management's adoption of AI and IoT technology. Companies utilized the Internet of Things and artificial intelligence to get real-time insights into their supply chains. Route optimization, improved demand forecasting, and improved inventory management are all being achieved through the use of AI-driven analytics and machine learning models. Supply chains can now respond and operate more quickly due to these technologies in the region.
Asia-Pacific is experiencing robust growth in the market. This is due to several key factors. Countries like Japan, China, India, and South Korea are embracing cognitive supply chain technologies to handle difficult logistics networks and meet increasing e-commerce demands. Additionally, in this region manufacturing powerhouses utilize these solutions to optimize production and improve supply chain visibility. Emerging markets in the region use cognitive supply chain tech to overcome traditional difficulties. Furthermore, transportation and logistics advantages from AI-driven route planning, while retail and customer goods sectors depend on dynamic inventory management. Regulatory sustainability, compliance, and supply chain resilience are additional factors of adoption.
Segmentation Insights
Technology Insight
In 2022, the Internet of Things segment accounted for a significant share. IoT is a transformative force in cognitive supply chain management and provides connectivity and real-time data. It enables constant tracking of assets, shipments, and inventory, granting valuable insights for decision-making. In addition, predictive maintenance, powered by IoT sensors, lowers downtime and maintenance costs. As a result, automated inventory tracking assures optimal stock levels and decreases shortages.
Furthermore, IoT-driven demand forecasting aligns production with actual demand, enhancing efficiency. Route optimization, quality control, and cold chain management benefit from IoT, ensuring product integrity and decreasing transportation piece. sustainability monitoring, supplier collaboration, and resilience enhancement are key drivers advancing supply chain adaptability and efficiency while boosting customer insights.
Deployment Insight
The on-premise segment dominates the market in terms of the largest shares. When cognitive supply chain solutions are deployed on-premise, software and infrastructure are hosted within an organization's physical premises, providing strong protection, customization options, and control over data. This approach suits businesses with strict data privacy needs and customization requirements. However, it comes with higher initial and ongoing prices, as companies must fund data security hardware and maintenance. Scalability can be more difficult, and accessibility may be restricted, making it less suitable for remote workforces.
End Use Industry Insight
The manufacturing segment dominates the market in terms of revenue. Cognitive supply chain solutions are changing manufacturing. They predict equipment maintenance requirements, improve demand forecasting, and ensure real-time quality control by leveraging machine learning, AI, and cutting-edge analytics. Collaboration among suppliers simplifies procurement, and dynamic inventory management maximizes stock levels. AI-powered production processes enhance efficiency, lowering waste, and enabling customization. Traceability and compliance are ensured, and supply chains become more sustainable, with optimized transportation ways.
Prominent Companies
Segmentation Outline
The global cognitive supply chain market segmentation focuses on Technology, Deployment, End Use Industry, and Region.
By Technology
By Deployment
By End Use Industry
By Region
[TABLE OF CONTENTS]
1 INTRODUCTION OF GLOBAL COGNITIVE SUPPLY CHAIN MARKET
1.1 OVERVIEW OF THE MARKET
1.2 SCOPE OF REPORT
1.3 ASSUMPTIONS
2 EXECUTIVE SUMMARY: COGNITIVE SUPPLY CHAIN MARKET
3 RESEARCH METHODOLOGY
3.1 DATA MINING
3.2 VALIDATION
3.3 PRIMARY INTERVIEWS
3.4 LIST OF DATA SOURCES
3.5 ANALYST TOOLS AND MODELS
4 GLOBAL COGNITIVE SUPPLY CHAIN MARKET OUTLOOK
4.1 OVERVIEW
4.2 MARKET DYNAMICS AND TRENDS
4.2.1 DRIVERS
4.2.2 RESTRAINTS
4.2.3 OPPORTUNITIES
4.3 PORTERS FIVE FORCE ANALYSIS
4.4 VALUE CHAIN ANALYSIS
4.5 MARKET GROWTH AND OUTLOOK
4.5.1 PRICE TREND ANALYSIS
4.5.2 OPPORTUNITY SHARE
5 GLOBAL COGNITIVE SUPPLY CHAIN MARKET, BY TECHNOLOGY
5.1 OVERVIEW
5.2 MACHINE LEARNING
5.3 INTERNET OF THINGS
5.4 OTHERS
6 GLOBAL COGNITIVE SUPPLY CHAIN MARKET, BY DEPLOYMENT
6.1 OVERVIEW
6.2 ON-PREMISE
6.3 CLOUD
7 GLOBAL COGNITIVE SUPPLY CHAIN MARKET, BY END USE INDUSTRY
7.1 OVERVIEW
7.2 LOGISTICS AND TRANSPORTATION
7.3 MANUFACTURING
7.4 FOOD AND BEVERAGE
7.5 HEALTHCARE
7.6 RETAIL & E-COMMERCE
7.7 OTHERS
8 GLOBAL COGNITIVE SUPPLY CHAIN MARKET, BY GEOGRAPHY
8.1 OVERVIEW
8.2 NORTH AMERICA
8.2.1 NORTH AMERICA MARKET SNAPSHOT
8.2.2 U.S.
8.2.3 CANADA
8.2.4 MEXICO
8.3 EUROPE
8.3.1 EUROPE MARKET SNAPSHOT
8.3.2 WESTERN EUROPE
8.3.2.1 THE UK
8.3.2.2 GERMANY
8.3.2.3 FRANCE
8.3.2.4 ITALY
8.3.2.5 SPAIN
8.3.2.6 REST OF WESTERN EUROPE
8.3.3 EASTERN EUROPE
8.3.3.1 POLAND
8.3.3.2 RUSSIA
8.3.3.3 REST OF EASTERN EUROPE
8.4 ASIA PACIFIC
8.4.1 ASIA PACIFIC MARKET SNAPSHOT
8.4.2 CHINA
8.4.3 JAPAN
8.4.4 INDIA
8.4.5 AUSTRALIA & NEW ZEALAND
8.4.6 ASEAN
8.4.7 REST OF ASIA PACIFIC
8.5 MIDDLE EAST & AFRICA
8.5.1 MIDDLE EAST & AFRICA MARKET SNAPSHOT
8.5.2 UAE
8.5.3 SAUDI ARABIA
8.5.4 SOUTH AFRICA
8.5.5 REST OF MEA
8.6 SOUTH AMERICA
8.6.1 SOUTH AMERICA MARKET SNAPSHOT
8.6.2 BRAZIL
8.6.3 ARGENTINA
8.6.4 REST OF SOUTH AMERICA
9 GLOBAL COGNITIVE SUPPLY CHAIN MARKET COMPETITIVE LANDSCAPE
9.1 OVERVIEW
9.2 COMPANY MARKET RANKING
9.3 KEY DEVELOPMENT STRATEGIES
9.4 COMPETITIVE DASHBOARD
9.5 PRODUCT MAPPING
9.6 TOP PLAYER POSITIONING, 2022
9.7 COMPETITIVE HEATMAP
9.8 TOP WINNING STRATEGIES
10 COMPANY PROFILES
10.1 ACCENTURE PLC
10.1.1 OVERVIEW
10.1.2 FINANCIAL PERFORMANCE
10.1.3 PRODUCT OUTLOOK
10.1.4 KEY DEVELOPMENTS
10.1.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.2 AMAZON WEB SERVICES
10.2.1 OVERVIEW
10.2.2 FINANCIAL PERFORMANCE
10.2.3 PRODUCT OUTLOOK
10.2.4 KEY DEVELOPMENTS
10.2.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.3 C.H. ROBINSON WORLDWIDE, INC
10.3.1 OVERVIEW
10.3.2 FINANCIAL PERFORMANCE
10.3.3 PRODUCT OUTLOOK
10.3.4 KEY DEVELOPMENTS
10.3.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.4 HONEYWELL INTERNATIONAL INC
10.4.1 OVERVIEW
10.4.2 FINANCIAL PERFORMANCE
10.4.3 PRODUCT OUTLOOK
10.4.4 KEY DEVELOPMENTS
10.4.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.5 IBM CORPORATION
10.5.1 OVERVIEW
10.5.2 FINANCIAL PERFORMANCE
10.5.3 PRODUCT OUTLOOK
10.5.4 KEY DEVELOPMENTS
10.5.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.6 INTEL CORPORATION
10.6.1 OVERVIEW
10.6.2 FINANCIAL PERFORMANCE
10.6.3 PRODUCT OUTLOOK
10.6.4 KEY DEVELOPMENTS
10.6.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.7 JDA SOFTWARE
10.7.1 OVERVIEW
10.7.2 FINANCIAL PERFORMANCE
10.7.3 PRODUCT OUTLOOK
10.7.4 KEY DEVELOPMENTS
10.7.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.8 MICROSOFT CORPORATION
10.8.1 OVERVIEW
10.8.2 FINANCIAL PERFORMANCE
10.8.3 PRODUCT OUTLOOK
10.8.4 KEY DEVELOPMENTS
10.8.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.9 NVIDIA CORPORATION
10.9.1 OVERVIEW
10.9.2 FINANCIAL PERFORMANCE
10.9.3 PRODUCT OUTLOOK
10.9.4 KEY DEVELOPMENTS
10.9.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.10 ORACLE CORPORATION
10.10.1 OVERVIEW
10.10.2 FINANCIAL PERFORMANCE
10.10.3 PRODUCT OUTLOOK
10.10.4 KEY DEVELOPMENTS
10.10.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.11 SAP SE
10.11.1 OVERVIEW
10.11.2 FINANCIAL PERFORMANCE
10.11.3 PRODUCT OUTLOOK
10.11.4 KEY DEVELOPMENTS
10.11.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.12 SAS INSTITUTE INC
10.12.1 OVERVIEW
10.12.2 FINANCIAL PERFORMANCE
10.12.3 PRODUCT OUTLOOK
10.12.4 KEY DEVELOPMENTS
10.12.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.13 SAVI TECHNOLOGY
10.13.1 OVERVIEW
10.13.2 FINANCIAL PERFORMANCE
10.13.3 PRODUCT OUTLOOK
10.13.4 KEY DEVELOPMENTS
10.13.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.14 SIEMENS AG
10.14.1 OVERVIEW
10.14.2 FINANCIAL PERFORMANCE
10.14.3 PRODUCT OUTLOOK
10.14.4 KEY DEVELOPMENTS
10.14.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
10.15 TERRA TECHNOLOGY
10.15.1 OVERVIEW
10.15.2 FINANCIAL PERFORMANCE
10.15.3 PRODUCT OUTLOOK
10.15.4 KEY DEVELOPMENTS
10.15.5 KEY STRATEGIC MOVES AND DEVELOPMENTS
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