Cognitive Supply Chain Market Size - By Offering (Solution [Forecasting, Analytics, Inventory Management, Risk Management], Services), Deployment Model (Cloud, On-premises), Enterprise Size (SMEs, Large Organization), End Use & Global Forecast, 2023 - 2032
Published Date: March - 2025 | Publisher: MIR | No of Pages: 240 | Industry: Media and IT | Format: Report available in PDF / Excel Format
View Details Buy Now 2890 Download Sample Ask for Discount Request CustomizationCognitive Supply Chain Market Size - By Offering (Solution [Forecasting, Analytics, Inventory Management, Risk Management], Services), Deployment Model (Cloud, On-premises), Enterprise Size (SMEs, Large Organization), End Use & Global Forecast, 2023 - 2032
Cognitive Supply Chain Market Size
Cognitive Supply Chain Market value was USD 7.5 billion in 2022 and is expected to achieve a CAGR of more than 16% from 2023 to 2032. The thriving e-commerce sector with rising supply chain needs is driving the market growth. Cognitive technologies improve functions through processing enormous volumes of data in real time, improving inventory management, predictive analytics, and demand forecast. The largest e-commerce market in the world is China, as per the International Trade Association, accounting for nearly 50% of world transactions. China topped the e-commerce market with a revenue of USD 1.5 trillion in 2021, positioning it above the U.S.
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Businesses across sectors have accepted the necessity of real-time visibility, data-enabled insights, and nimble decision-making in turbulent times. The COVID-19 pandemic reaffirmed the necessity of investment in predictive analytics, demand planning, and resilient inventory management to drive continuity and maintain consistent customer experience. The pandemic accentuated the importance of a connected & digital supply chain.
| Report Attribute | Details |
|---|---|
| Base Year | 2022 |
| Cognitive Supply Chain Market Size in 2022 | USD 7.5 Billion |
| Forecast Period | 2023 to 2032 |
| Forecast Period 2023 to 2032 CAGR | 16% |
| 2032 Value Projection | USD 34.2 Billion |
| Historical Data for | 2018 - 2022 |
| No. of Pages | 300 |
| Tables, Charts & Figures | 349 |
| Segments covered | Offering, deployment model, enterprise size, and end use |
| Growth Drivers |
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| Pitfalls & Challenges |
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What are the growth opportunities in this market?
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For example, in August 2019, Nike's ahead-of-time investment in cutting-edge supply chain tech such as buying Celect strengthened the company during the pandemic. Celect predictive analytics enabled Nike to anticipate declining physical retail store sales and reassign inventory promptly to e-commerce fulfillment centers. This adaptability allowed Nike to cater to the changing consumer needs, highlighting the valuable role of digital supply chain solutions in ensuring operational effectiveness and customer satisfaction, especially during unprecedented times like the pandemic.
The high expense of creating and rolling out cognitive supply chain solutions is a major hurdle. Creating & implementing sophisticated technologies like Artificial Intelligence (AI), Machine Learning (ML), and IoT involve enormous amounts of money. In addition, implementing these technologies in current supply chain frameworks takes time and also costs money, adding to the total costs. Most organizations, particularly small ones, might find such expenses unaffordable, deterring widespread implementation and also restricting the capacity of the market to grow.
COVID-19 Impact
The COVID-19 pandemic adversely affected the cognitive supply chain market. It caused disruptions in supply chains across the world, leading to uncertainties and shortages of supplies. Most companies experienced financial difficulties and postponed or cancelled investments in cognitive supply chain technologies. The urgency for short-term cost-cutting made long-term investments unattractive. Although cognitive supply chains have the potential to benefit in times of crises, the economic burden of the pandemic slowed down market growth as companies concentrated on survival in the short term.
Cognitive Supply Chain Market Trends
AI and ML integration is a growing trend in the cognitive supply chain market. AI and ML technologies are transforming supply chain operations through smart insights and automation. Predictive analytics and pattern recognition powered by AI assist in demand forecasting, inventory management, and dynamic routing.
For example, Alloy.ai integrated AI capabilities into its supply chain and forecasting platform in September 2023, better equipping itself for enhanced forecasts and supply chain management. Machine learning algorithms upgrade real-time decisions, increasing agility and responsiveness within the supply chain. This has been prompted by the necessity of data-driven efficient and adaptive supply chain operations wherein AI and machine learning take on a crucial responsibility in determining future logistics and operation.
The adoption of cloud-based solutions is a growing trend in the cognitive supply chain market. Cloud technology offers scalable and flexible platforms for storing, analyzing, and accessing large volumes of supply chain data. This trend enables businesses to tap into cognitive computing and analytics tools with high computing power and resources while reaping the advantages of cost savings and accessibility. Cloud-based solutions provide real-time data sharing, collaboration, and visibility throughout the supply chain, which enables businesses to streamline their operations, improve decision-making, and react to changes in the market quickly.
Cognitive Supply Chain Market Analysis
Discover more about the major segments influencing this market
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On the basis of offering, the solution captured 40% of the market share in 2022, due to growing demand for AI-powered tools and platforms. Companies are looking for all-around solutions that can manage their supply chain complexities, streamline operations, and improve decision-making. These solutions include predictive analytics, demand forecasting, inventory management, and real-time visibility. In addition, embedding ML and data analytics in supply chain solutions is increasing efficiency and performance gains. This trend will persist as firms focus on digital transformation and look for end-to-end cognitive supply chain solutions to gain a competitive advantage.
Find out more about the major segments influencing this market
Based on deployment model, the on-premises segment held around 66% of the cognitive supply chain market share in 2022. Firstly, industries with sensitive data and regulatory constraints, like healthcare and finance, prefer on-premises solutions to maintain control over their data. Secondly, legacy systems and existing infrastructure often make it easier and more cost-effective to deploy solutions on-premises. Moreover, certain organizations choose on-premises deployment in order to get low-latency processing and improved integration with current technologies, resulting in a preference in cognitive supply chain implementations.
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North America cognitive supply chain market size accounted for approximately USD 3 billion in 2022, driven by a number of factors such as the technological infrastructure in the region, the presence of major industry players, and a strong focus on supply chain optimization. The surging use of AI and ML solutions to streamline supply chain visibility, forecasting demand, and inventory management is driving market growth.
For example, in November 2022, Microsoft introduced the Supply Chain Platform, a revolutionary solution aimed at building flexible, automated, and sustainable supply chains. With the help of advanced technology and data-driven intelligence, it maximizes efficiency and responsiveness in the market. North American companies are finding the potential of cognitive technologies in enhancing operational efficiency, minimizing costs, and reacting to market dynamics quickly, leading to the region's leadership in the cognitive supply chain industry.
Cognitive Supply Chain Market Share
Major companies operating in the cognitive supply chain industry are
- IBM Corporation
- Oracle
- Amazon.com
- Accenture plc
- Intel Corporation
- NVIDIA Corporation
- Honeywell International Inc.
These companies develop advanced technologies and solutions. They provide AI, cloud, and analytics-based platforms that enhance supply chain visibility, predictive analytics, and automation. This contributes to more efficient, agile, and sustainable supply chain operations for various industries, helping businesses adapt to evolving market demands and disruptions. These companies drive innovations and support businesses in improving their supply chain performance.
Cognitive Supply Chain Industry News
- In October 2023, Altana, an AI startup, introduced Atlas, a cutting-edge solution offering real-time visibility into the global supply chain. This technology caters to businesses, governments, and logistics companies seeking to enhance supply chain monitoring. Atlas's dynamic map empowers users with valuable insights, improving operational efficiency, and enabling proactive responses to supply chain disruptions.
The cognitive supply chain market research report includes in-depth coverage of the industry, with estimates & forecast in terms of Revenue (USD Million) from 2018 to 2032, for the following segments
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Market, By Offering
- Solutions
- Forecasting
- Analytics
- Inventory management
- Risk management
- Others
- Services
Market, By Deployment model
- Cloud
- On-premises
Market, By Enterprise size
- SMEs
- Large Enterprise
Market, By End use
- Manufacturing
- Automotive
- Retail & E-commerce
- Logistics & transportation
- Healthcare
- Food & Beverages
- Others
The above information has been provided for the following regions and countries
- North America
- U.S.
- Canada
- Europe
- U.K.
- Germany
- France
- Italy
- Spain
- Netherlands
- Asia Pacific
- China
- India
- Japan
- South Korea
- ANZ
- Southeast Asia
- Latin America
- Brazil
- Mexico
- Argentina
- Colombia
- MEA
- UAE
- South Africa
- Saudi Arabia
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