세계의 인지 공급망 시장(2023-2030년)

Global Cognitive Supply Chain Market Size, Share & Trends Analysis Report by Technology (Artificial Intelligence (AI)/Machine Learning (ML), Internet of Things (IoT), Others(Natural Language Processing (NLP), Blockchain)), by Deployment (Cloud and On-premise) and by End-User Industry (Manufacturing, Retail & E-commerce, Logistics and Transportation, Healthcare, Food and Beverage and Others (Automotive, Energy)) Forecast Period (2023-2030)

The global cognitive supply chain market is anticipated to grow at a significant CAGR of 17.9% during the forecast period (2023-2030). With a growing competitive market and the complexity of supply chain systems, organizations are adopting advanced technologies such as cloud computing, AI/ML, and IoT to improve operational efficiency and cost reduction. Additionally, COVID-19 and rising geopolitical tensions disrupted the global logistics and supply chain ecosystem, pushing organizations to embrace tech-led supply chain management solutions to handle the challenges.

Segmental Outlook

The global cognitive supply chain market is segmented by technology, deployment, and end-user industry. By technology, the market is sub-segmented into AI/ML, IoT, and other technologies such as NLP and blockchain. By deployment, the market is sub-segmented into cloud and on-premises deployment. By end-user industry, the market is sub-segmented into manufacturing, retail and E-commerce, logistics and transportation, healthcare, food and beverage, and other industries such as automotive and energy industry. Among the end-users, the demand for the cognitive supply chain market is expected to grow in the retail and e-commerce sectors. According to the International Trade Administration (ITA), the global B2B e-commerce market is expected to grow at a 14.5% compound annual growth rate (CAGR)at a market value of $36 trillion till 2026. Additionally, the B2C e-commerce market revenue is expected to grow to $5.5 trillion by 2027 at a 14.4% CAGR. With the growing competitive environment in the global retail and e-commerce sector and disruption in global supply chain ecosystems, market players are focusing on the inclusion of technologies in supply chain management.

Global E-commerce market size, $ trillion

Source: International Trade Administration (ITA)

Manufacturing Industry Contributes the Highest to the Global Cognitive Supply Chain Industry

Globally, the demand for cognitive supply chain solutions is growing in the manufacturing industry due to their ability to optimize operational efficiency, reduce costs, and enhance overall supply chain performance. The manufacturing sector collectively contributes significantly to the global economy. According to the World Trade Organization (WTO), trade in manufactured goods represented 71.0% of world merchandise exports in 2020, equal to $12.1 trillion out of a total of $17 trillion. It also represents 17.0% of the global gross domestic product (GDP). The sector has suffered significant losses due to rising geopolitical tensions and Covid-19 disrupting the global supply chain. Advanced technological solutions such as AI/ML enable real-time data analysis for informed decision-making, improved demand forecasting, inventory management, and production planning, allowing manufacturers to respond swiftly to market changes. Additionally, cognitive supply chain technologies support predictive maintenance, minimizing downtime and extending equipment lifespan. The integration of intelligent systems increases collaboration and communication among stakeholders, considering the growing complexity and interconnectivity of the manufacturing landscape.

Regional Outlook

The global cognitive supply chain market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). Among regions, the European market is expected to contribute significantly to the global cognitive supply chain industry mainly due to the region's significant share of global end-user industries, rapid technological advancements, and the presence of key market players such as IBM, and SAP among others.

The Asia-Pacific is Anticipated to Exibit Highest CAGR in the Global Cognitive Supply Chain Market

Asia-Pacific is anticipated to exhibit highest CAGR owing to factors such as the significant presence of end-user industries, the presence of market players, growing regional trade activities, along with growing adoption rate of advanced technologies such as AI/ML, and IoT among others. According to the ITA, Asia Pacific accounted for 78.9% of the global e-commerce market. Additionally, growing government support from major economies in the region to improve the supply chain and growing product offerings is also driving the overall market. For instance, in February 2023, XPDEL launched an agile and scalable shipping solution in India. Also, in November 2022, Gurugram-based supply chain solutions company 3SC Solutions announced the launch of the SCAI supply chain planning and execution platform. According to the company, the platform uses data analytics to combine data from multiple departments to address planning issues and opportunities for enterprises.

Market Players Outlook

The major companies serving the global cognitive supply chain market are Descartes Systems Group Inc., Honeywell International Inc., IBM Corp., Infor, and Intel Corp. among others. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaboration, mergers, and acquisitions to stay competitive. For instance, in October 2023, Tools Group announced the acquisition of Evo, a provider of AI/ ML solutions tailored to enhance business performance. This strategic integration blends Evo's agile AI solutions with Tools Group's offerings, resulting in real-time supply chain and price optimization solutions for customers.

The Report Covers:

• Market value data analysis of 2022 and forecast to 2030.
• Annualized market revenues ($ million) for each market segment.
• Country-wise analysis of major geographical regions.
• Key companies operating in the cognitive supply chain market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
• Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
• Analysis of market-entry and market expansion strategies.
• Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

• Current Industry Analysis and Growth Potential Outlook
• 1.1. Research Methods and Tools
• 1.2. Market Breakdown
  • 1.2.1. By Segments
  • 1.2.2. By Region

2. Market Overview and Insights

• 2.1. Scope of the Report
• 2.2. Analyst Insight & Current Market Trends
  • 2.2.1. Key Findings
  • 2.2.2. Recommendations
  • 2.2.3. Conclusion

3. Competitive Landscape

• 3.1. Key Company Analysis
• 3.2. Accenture plc
  • 3.2.1. Overview
  • 3.2.2. Financial Analysis
  • 3.2.3. SWOT Analysis
• 3.3. Amazon.com, Inc.
  • 3.3.1. Overview
  • 3.3.2. Financial Analysis
  • 3.3.3. SWOT Analysis
  • 3.3.4. Recent Developments
• 3.4. Blue Yonder Group, Inc.
  • 3.4.1. Overview
  • 3.4.2. Financial Analysis
  • 3.4.3. SWOT Analysis
  • 3.4.4. Recent Developments
• 3.5. C.H. Robinson Worldwide, Inc.
  • 3.5.1. Overview
  • 3.5.2. Financial Analysis
  • 3.5.3. SWOT Analysis
  • 3.5.4. Recent Developments
• 3.6. Key Strategy Analysis

4. Market Segmentation

• 4.1. Global Cognitive Supply Chain Market By Technology
  • 4.1.1. Artificial Intelligence (AI)/Machine Learning (ML)
  • 4.1.2. Internet of Things (IoT)
  • 4.1.3. Others (Natural Language Processing (NLP), blockchain)
• 4.2. Global Cognitive Supply Chain Market By Deployment
  • 4.2.1. Cloud
  • 4.2.2. On-premises
• 4.3. Global Cognitive Supply Chain Market By End-User Industry
  • 4.3.1. Manufacturing
  • 4.3.2. Retail & E-commerce
  • 4.3.3. Logistics and Transportation
  • 4.3.4. Healthcare
  • 4.3.5. Food and Beverage
  • 4.3.6. Others (automotive, energy)

5. Regional Analysis

• 5.1. North America
  • 5.1.1. United States
  • 5.1.2. Canada
• 5.2. Europe
  • 5.2.1. UK
  • 5.2.2. Germany
  • 5.2.3. Italy
  • 5.2.4. Spain
  • 5.2.5. France
  • 5.2.6. Rest of Europe
• 5.3. Asia-Pacific
  • 5.3.1. China
  • 5.3.2. India
  • 5.3.3. Japan
  • 5.3.4. South Korea
  • 5.3.5. Rest of Asia-Pacific
• 5.4. Rest of the World

6. Company Profiles

• 6.1. American Software, Inc.
• 6.2. Coupa Software Inc. (part of Thoma Bravo)
• 6.3. Dassault Systemes
• 6.4. Descartes Systems Group Inc.
• 6.5. Honeywell International Inc.
• 6.6. IBM Corporation
• 6.7. Infor
• 6.8. Intel Corporation
• 6.9. Kinaxis Inc.
• 6.10. Manhattan Associates, Inc.
• 6.11. Microsoft Corp.
• 6.12. NVIDIA Corp.
• 6.13. Oracle Corp.
• 6.14. Panasonic Corp.
• 6.15. Relex Solutions
• 6.16. Rockwell Automation, Inc.
• 6.17. SAP SE
• 6.18. SAS Institute Inc.
• 6.19. Savi Technology, Inc. (part of Lockheed Martin)