Overview of Cognitive Supply Chain Market

Supply chain management has significantly transformed in the past few decades. The integration of artificial intelligence in these supply chain systems was a watershed moment for this sector. Various supply chain management (SCM) software have flooded the marketplace. As a result, the valuation of the cognitive supply chain market is estimated staggering USD 10.40 billion as of 2024.

Cognitive supply chain platforms and services also allow dynamic inventory optimization by considering factors such as demand variability, lead times, and service level requirements. Their demand in the SCM sector is proof of their efficient, reliable, and cost-effective capabilities. The market is slated to grow at a CAGR of 15.60% through 2034.

With companies leveraging cognitive technologies to optimize their supply chains, the market valuation is poised to surpass USD 44.50 billion by the end of 2034.

Attributes Details
Market Value for 2024 USD 10.40 billion
Projected Market Value for 2034 USD 44.50 billion
Value-based CAGR of the Market for 2024 to 2034 15.60%

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Category-wise Insights

Cognitive Supply Chain Solutions to Continue Gaining Prominence

Companies in the market provide their offerings through solutions, services, and other means. Among these, the solutions segment is anticipated to hold the largest market share of 62% as of 2024.

Attributes Details
Offerings Solutions
Market Share (2024) 62.00%

The demand for cognitive supply chain solutions has touched the skies. This is because they offer sophisticated and advanced predictive analytics, demand forecasting, and risk management recommendations to businesses. Using this, organizations proactively address challenges and capitalize on opportunities in their supply chain operations.

These solutions can also leverage data from Internet of Things (IoT) devices and big data analytics, to gain deeper insights into supply chain operations which improves the overall decision-making across the supply chain.

On-premise Deployment Modules Become Popular in SCM sector

Cognitive supply chain solutions are mainly deployed in two main ways, cloud-based and on-premise. Among these, the on-premise deployment takes the majority share, 66.0% of the overall market as estimated for 2024.

Attributes Details
Deployment On-premise
Market Share (2024) 66.0%

The main reason why companies involved in highly regulated industries like healthcare and finance prefer on-premise deployment over cloud-based is their concern for security and privacy. On-premise deployment provides greater security and compliance as compared to the alternative.

On-premise deployment also provides organizations with greater customization options and control over their SCM software. This has also increased their adoption rates in the past few years.

Country-wise Insights

Countries CAGR (2024 to 2034)
South Korea 18.00%
Japan 17.40%
The United Kingdom 17.00%
China 16.50%
The United States 16.00%

Industry 4.0 Initiatives to Benefit South Korean Cognitive Supply Chain Market

South Korea is one of the leading markets in the world when it comes to cognitive supply chains. The South Korean market is estimated to grow at a CAGR of 18.00% through 2034.

South Korea is well known for its technological innovation and advanced manufacturing capabilities. The country, in the last few years, has been increasingly investing in Industry 4.0 technologies, including AI and machine learning to optimize their supply chain operations and gain a competitive edge.

This has surged the prominence of cognitive supply chain solutions in the country. Besides this, South Korean reliance on these solutions for the international trade of electronics and automotive parts has also positively affected the market.

Labor Shortages in Japan to Suit Cognitive Supply Chain Market

The Japanese market is also a lucrative one. It is anticipated to expand at a CAGR of 17.40% through 2034.

Japan, as of 2024, is facing the problem of a growing aging population. One in every three Japanese adult persons is above the age of sixty-five. This has resulted in acute shortages of labor in the country. The manufacturing sector has to thus rely on cognitive supply chain solutions for their day-to-day operations.

These applications and platforms efficiently streamline processes by automating tasks such as inventory management, production scheduling, and logistics optimization. Apart from this, the pandemic also brought before the world, the importance of resilient supply chain networks. Japanese companies are thus investing heavily in these solutions to strengthen their supply chain capabilities.

Rapid E-commerce Growth to Aid Market in the United Kingdom

The market in the United Kingdom is also predicted to flourish in the coming future. It is in line to progress at a CAGR of 17.00% for the forecast period in the United Kingdom.

Over the past few years, thanks to the rising disposable incomes and the preference for comfort and convenience among the middle class, the United Kingdom’s e-commerce sector has experienced significant growth. This has put tremendous pressure on companies involved in supply chain management to provide efficient and reliable solutions.

Logistics companies in the United Kingdom are also generating huge demand for cognitive supply chain solutions. They help optimize inventory management, order fulfillment, and last-mile delivery processes to meet the demands of online shoppers effectively and compete in the fast-paced e-commerce market.

China’s Reputation as a Manufacturing Powerhouse Helps the Market Grow

China is one of the prominent countries in this market. The market is slated to progress at an outstanding CAGR of 16.50% through 2034.

China is considered a notable manufacturing economy. The country also hosts a vast network of suppliers, manufacturers, and logistics providers. This has created a conducive environment for cognitive supply chain solutions.

They enable Chinese companies to optimize production processes, improve supply chain visibility, and enhance operational efficiency to maintain their competitive edge in markets.

Besides this, the country is also going through a phase of digital transformation across industries and these solutions play a crucial role in this transformation.

The United States to Exhibit Unprecedented Growth Prospects in the Future

The United States market is also a promising one. It is anticipated to progress at a CAGR of 16.00% through 2034.

The United States is blessed with a multitude of tech companies and start-ups that are well-versed in artificial intelligence and machine learning algorithms.

This environment has benefitted the companies present in the logistics sector as they leverage cognitive supply chain solutions to enhance their operations and gain a competitive edge. Also, the market is gaining traction in the United States due to the country’s tendency to harness the potential of advanced and sophisticated technologies in its industrial operations.

Sudip Saha
Sudip Saha

Principal Consultant

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Competitive Landscape

The market is still in its nascent stages as there is still a lot of room for improvement. The market is still dominated by a few tech giants, making entry of new start-ups seem very difficult. These companies already have a well-established consumer base due to their prolonged presence in the industry. These players are tapping the markets in emerging economies to effectively expand their consumer base.

Recent Developments

  • In December 2023, Blue Yonder unveiled Blue Yonder Orchestrator, employing generative AI to streamline supply chain management. By leveraging natural language capabilities and supply chain expertise, it empowered businesses to make faster, smarter decisions amidst data abundance and impending workforce transitions.
  • In February 2019, Tata Consultancy Services (TCS) partnered with JDA Software to develop cognitive supply chain solutions. Together, they optimized intelligent supply chains, enhancing customer experience through cloud, AI, and machine learning technologies.
  • In December 2018, Intel Corporation embarked on a digital supply chain journey, leveraging cognitive computing to manage its sourcing function and sift through vast amounts of data for supplier selection and monitoring, as it transitioned to a data-centric business model.
  • In August 2022, Tada Cognitive Solutions, renowned for its digital twin-enabled supply chain solutions, was honored as a Great Supply Chain Partner by SupplyChainBrain. Recognized for its capacity to streamline operations and enhance visibility, TadaNow's platform was recognized for epitomizing excellence in the industry.
  • In February 2021, Kearney and Aera Technology collaborated to enhance the supply chain agility of retail clients. Kearney assisted in identifying blind spots and transforming processes for better adaptability amid unforeseen changes.
  • In February 2020, Aera Technology unveiled the Aera Cognitive Operating System™, the world's premier cloud platform for Cognitive Automation. It facilitated easy development and deployment of Cognitive Skills™, accelerating adoption among global giants like Unilever and RB.
  • In May 2020, Telstra partnered with IBM to revamp its network supply chain, establishing a cognitive "control tower" to optimize material distribution. By integrating IBM's technology, Telstra successfully managed challenges amid global emergencies, enhancing its operational resilience.

Key Companies

  • IBM
  • Oracle
  • SAP
  • Microsoft
  • Amazon Web Services (AWS)
  • JDA Software (now part of Blue Yonder)
  • Kinaxis
  • Anaplan
  • Blue Yonder (formerly JDA Software)
  • Infor
  • Manhattan Associates
  • LLamasoft (now part of Coupa)
  • Coupa
  • GEP
  • Logility (now part of E2open)
  • E2open
  • SAS
  • Plex Systems
  • ToolsGroup
  • Elemica

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Key Coverage in the Cognitive Supply Chain Industry

  • Key players in the cognitive supply chain industry
  • Emerging innovations in cognitive supply chain technology
  • Industry trends in cognitive supply chain solutions
  • Analysis of the impact of AI-driven predictive analytics on supply chain decision-making
  • Consumer behavior analysis for cognitive supply chain platforms

Key Segments of the Cognitive Supply Chain Industry

By Offering:

  • Solutions
    • Forecasting
    • Analytics
    • Inventory Management
    • Risk Management
  • Services
  • Others

By Deployment:

  • Cloud Based
  • On-Premises

By Enterprise size:

  • SMEs
  • Large Enterprise

By End User:

  • Manufacturing
  • Automotive
  • Retail & E-commerce
  • Logistics & Transportation
  • Healthcare
  • Food & Beverages
  • Others

By Region:

  • North America
  • Latin America
  • Asia Pacific
  • Europe
  • Middle East and Africa

Frequently Asked Questions

How Much is the Cognitive Supply Chain Market Currently Worth?

The cognitive supply chain market is expected to be worth USD 10.40 billion by 2024.

What is the Sales Forecast for the Industry Through 2034?

The cognitive supply chain market is expected to reach USD 44.50 billion by 2034.

At What Rate is the Cognitive Supply Chain Market Growing?

The cognitive supply chain market is set to display a CAGR of 15.60% from 2024 to 2034.

Which are the Key Companies in the Cognitive Supply Chain Market?

IBM Corporation, Oracle, Amazon.com, Accenture plc, and Intel Corporation, are some of the major players in the the cognitive supply chain market.

What was the Value of the Cognitive Supply Chain Market in 2023?

The valuation for the cognitive supply chain market in 2023 was USD 8.70 billion.

Table of Content
  • 1. Executive Summary
  • 2. Market Overview
  • 3. Market Background
  • 4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034
  • 5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Offering
    • 5.1. Solutions
    • 5.2. Forecasting
    • 5.3. Analytics
    • 5.4. Inventory Management
    • 5.5. Risk Management
    • 5.6. Services
    • 5.7. Others
  • 6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Deployment
    • 6.1. Cloud- Based
    • 6.2. On-Premises
  • 7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Enterprise size
    • 7.1. SMEs
    • 7.2. Large Enterprise
  • 8. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By End User
    • 8.1. Manufacturing
    • 8.2. Automotive
    • 8.3. Retail & E-Commerce
    • 8.4. Logistics & Transportation
    • 8.5. Healthcare
    • 8.6. Food & Beverages
    • 8.7. Others
  • 9. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region
    • 9.1. North America
    • 9.2. Latin America
    • 9.3. Western Europe
    • 9.4. Eastern Europe
    • 9.5. South Asia and Pacific
    • 9.6. East Asia
    • 9.7. Middle East and Africa
  • 10. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
  • 11. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
  • 12. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
  • 13. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
  • 14. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
  • 15. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
  • 16. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
  • 17. Key Countries Market Analysis
  • 18. Market Structure Analysis
  • 19. Competition Analysis
    • 19.1. IBM Corporation
    • 19.2. Oracle
    • 19.3. Amazon.com
    • 19.4. Accenture plc
    • 19.5. Intel Corporation
    • 19.6. NVIDIA Corporation
    • 19.7. Honeywell International Inc.
    • 19.8. Panasonic
    • 19.9. SAP SE
  • 20. Assumptions & Acronyms Used
  • 21. Research Methodology
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