Artificial Intelligence in Supply Chain Market Size, Share & Trends Analysis Report By Offering (Hardware, Software, Services), By Technology, By Application, By End Use, By Region, And Segment Forecasts, 2024 - 2030

Artificial Intelligence in Supply Chain Market Size, Share & Trends Analysis Report By Offering (Hardware, Software, Services), By Technology, By Application, By End Use, By Region, And Segment Forecasts, 2024 - 2030


Artificial Intelligence In Supply Chain Market Growth & Trends

The global artificial intelligence in supply chain market size is anticipated to reach USD 51.12 billion by 2030 and is projected to grow at a CAGR of 38.9% from 2024 to 2030, according to a new report by Grand View Research, Inc. Intelligent automation, smarter workflows, provides actionable insights to accelerate time-to-value, increased agility, and improved supply chain resiliency are some of the factors contributing to the market growth. The supply chain industry has witnessed an increasing trend in the use of automation technologies such as business process management (BPM) and AI to scale and streamline decision-making across organizations. By automating lower-level tasks throughout supply chain operations, AI helps improve operational efficiencies, free up resources, and simplify processes, which is expected to significantly fuel the market growth.

Next-generation supply chain control tower technologies assist organizations in recognizing and resolving critical supply chain issues more quickly with actionable workflows, advanced analytics, and end-to-end visibility. By leveraging the power of customized workflows, automation, AI, and open platforms, organizations can better predict, plan for, and respond to complex supply chain operational challenges. These characteristics and benefits of artificial intelligence technologies are expected to increase its demand in the supply chain industry.

Initiatives by public and private organizations associated with artificial intelligence in the supply chain industry are also anticipated to accelerate market expansion. For instance, in November 2022, Microsoft, a technology company specializing in software solutions, announced the launch of its Microsoft Supply Chain Platform, a customizable platform that aims to help organizations optimize their supply chain database investment through an open approach by combining the best of SaaS applications, security, low-code, collaboration, and Microsoft AI in a scalable platform.

Organizations are constantly undertaking initiatives such as partnerships, acquisitions, and mergers to gain an advantage in the highly competitive market. For instance, in December 2022, Accenture, a provider of consulting and information technology services, announced partnership with Planet Labs PBC, an earth imaging company based in the U.S., with the aim to assist organizations across the government & forestry, energy, consumer packaged goods, and agriculture industries with valuable insights for decision-making. The two companies will collaborate on a variety of impact and sustainability initiatives, including data-based climate risk assessments, traceable supply chain strategy, and measurement by combining Accenture's deep industry and technology expertise and broad range of sustainability services with Planet Labs PBC’s high frequency satellite imagery data.

Artificial Intelligence In Supply Chain Market Report Highlights
  • Based on offering, the software segment led the market with the largest revenue share of 41.8% in 2023. The growth of e-commerce and omnichannel retail demands flexible and efficient supply chains, which AI-powered software facilitates
  • Based on technology, the machine learning segment led the market with the largest revenue share of 36.3% in 2023. Machine learning algorithms can handle complex tasks within the supply chain, automating processes and making data-driven decisions faster and more accurately than traditional methods
  • Based on application, the supply chain planning segment led the market with the largest revenue share of 32.5% in 2023. Modern supply chains are intricate and often spread across the globe. AI-powered planning tools help businesses navigate complexity by optimizing inventory levels, production schedules, and transportation routes, leading to cost savings and improved efficiency
  • Based on end use, the automotive segment led the market with the largest revenue share of 17.7% in 2023. Automakers rely heavily on JIT manufacturing, where parts arrive exactly when needed on the assembly line. AI in the supply chain optimizes delivery schedules and inventory management, ensuring a smooth production flow and reducing costs associated with holding excess parts
  • North America dominated the market with the revenue share of 38.4% in 2023, accounting for the largest share of global revenue. Supply chain companies in the region are increasingly looking for ways to gain greater visibility and transparency into their supply chain data and processes. AI can help to achieve this by providing real-time insights into inventory levels, transportation schedules, and other critical factors
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Chapter 1. Methodology and Scope
1.1. Market Segmentation and Scope
1.2. Market Definitions
1.3. Research Methodology
1.3.1. Information Procurement
1.3.2. Information or Data Analysis
1.3.3. Market Formulation & Data Visualization
1.3.4. Data Validation & Publishing
1.4. Research Scope and Assumptions
1.4.1. List of Data Sources
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
Chapter 3. Artificial Intelligence in Supply Chain Market Variables, Trends, & Scope
3.1. Market Introduction/Lineage Outlook
3.2. Market Size and Growth Prospects (USD Million)
3.3. Industry Value Chain Analysis
3.4. Market Dynamics
3.4.1. Market Drivers Analysis
3.4.1.1. Growing adoption of AI to increase agility and customer satisfaction
3.4.1.2. Growing focus on improving organizational performance and operational efficiency
3.4.2. Market Restraints Analysis
3.4.2.1. High initial investment and limited AI expertise
3.4.3. Industry Opportunities
3.4.3.1. Industry Challenges
3.5. Artificial Intelligence in Supply Chain Market Analysis Tools
3.5.1. Porter’s Analysis
3.5.1.1. Bargaining power of the suppliers
3.5.1.2. Bargaining power of the buyers
3.5.1.3. Threats of substitution
3.5.1.4. Threats from new entrants
3.5.1.5. Competitive rivalry
3.5.2. PESTEL Analysis
3.5.2.1. Political landscape
3.5.2.2. Economic and Social landscape
3.5.2.3. Technological landscape
3.5.2.4. Environmental landscape
3.5.2.5. Legal landscape
Chapter 4. Artificial Intelligence in Supply Chain Market: Offering Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Artificial Intelligence in Supply Chain Market: Offering Movement Analysis, 2023 & 2030 (USD Million)
4.3. Hardware
4.3.1. Hardware Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
4.4. Software
4.4.1. Software Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
4.5. Services
4.5.1. Services Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 5. Artificial Intelligence in Supply Chain Market: Technology Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. Artificial Intelligence in Supply Chain Market: Technology Movement Analysis, 2023 & 2030 (USD Million)
5.3. Machine Learning
5.3.1. Machine Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
5.4. Computer Vision
5.4.1. Computer Vision Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
5.5. Natural Language Processing
5.5.1. Natural Language Processing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
5.6. Context-Aware Computing
5.6.1. Context-Aware Computing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
5.7. Others
5.7.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 6. Artificial Intelligence in Supply Chain Market: Application Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. Artificial Intelligence in Supply Chain Market: Application Movement Analysis, 2023 & 2030 (USD Million)
6.3. Supply Chain Planning
6.3.1. Supply Chain Planning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.4. Warehouse Management
6.4.1. Warehouse Management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.5. Fleet Management
6.5.1. Fleet Management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.6. Virtual Assistant
6.6.1. Virtual Assistant Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.7. Risk Management
6.7.1. Risk Management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.8. Inventory Management
6.8.1. Inventory Management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
6.9. Planning & Logistics
6.9.1. Planning & Logistics Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 7. Artificial Intelligence in Supply Chain Market: End Use Estimates & Trend Analysis
7.1. Segment Dashboard
7.2. Artificial Intelligence in Supply Chain Market: End Use Movement Analysis, 2023 & 2030 (USD Million)
7.3. Manufacturing
7.3.1. Manufacturing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.4. Food and Beverages
7.4.1. Food and Beverages Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.5. Healthcare
7.5.1. Healthcare Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.6. Automotive
7.6.1. Automotive Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.7. Aerospace
7.7.1. Aerospace Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.8. Retail
7.8.1. Retail Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.9. Consumer-Packaged Goods
7.9.1. Consumer-Packaged Goods Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
7.10. Others
7.10.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 8. Artificial Intelligence in Supply Chain Market: Regional Estimates & Trend Analysis
8.1. Artificial Intelligence in Supply Chain Market Share, By Region, 2023 & 2030, USD Million
8.2. North America
8.2.1. North America Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.2.2. U.S.
8.2.2.1. U.S. Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.2.3. Canada
8.2.3.1. Canada Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3. Europe
8.3.1. Europe Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3.2. UK
8.3.2.1. UK Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3.3. Germany
8.3.3.1. Germany Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.3.4. France
8.3.4.1. France Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4. Asia Pacific
8.4.1. Asia Pacific Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.2. China
8.4.2.1. China Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.3. Japan
8.4.3.1. Japan Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.4. India
8.4.4.1. India Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.5. Australia
8.4.5.1. Australia Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4.6. South Korea
8.4.6.1. South Korea Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.5. Latin America
8.5.1. Latin America Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.5.2. Brazil
8.5.2.1. Brazil Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6. Middle East and Africa
8.6.1. Middle East and Africa Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6.2. UAE
8.6.2.1. UAE Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6.3. South Africa
8.6.3.1. South Africa Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6.4. KSA
8.6.4.1. KSA Artificial Intelligence in Supply Chain Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 9. Competitive Landscape
9.1. Recent Developments & Impact Analysis by Key Market Participants
9.2. Company Categorization
9.3. Company Market Positioning
9.4. Company Market Share Analysis
9.5. Company Heat Map Analysis
9.6. Strategy Mapping
9.6.1. Expansion
9.6.2. Mergers & Acquisition
9.6.3. Partnerships & Collaborations
9.6.4. New Product Launches
9.6.5. Research And Development
9.7. Company Profiles
9.7.1. Advanced Micro Devices, Inc.
9.7.1.1. Participant’s Overview
9.7.1.2. Financial Performance
9.7.1.3. Product Benchmarking
9.7.1.4. Recent Developments
9.7.2. Alibaba.com
9.7.2.1. Participant’s Overview
9.7.2.2. Financial Performance
9.7.2.3. Product Benchmarking
9.7.2.4. Recent Developments
9.7.3. Amazon Web Services, Inc.
9.7.3.1. Participant’s Overview
9.7.3.2. Financial Performance
9.7.3.3. Product Benchmarking
9.7.3.4. Recent Developments
9.7.4. Deutsche Post DHL Group
9.7.4.1. Participant’s Overview
9.7.4.2. Financial Performance
9.7.4.3. Product Benchmarking
9.7.4.4. Recent Developments
9.7.5. FedEx
9.7.5.1. Participant’s Overview
9.7.5.2. Financial Performance
9.7.5.3. Product Benchmarking
9.7.5.4. Recent Developments
9.7.6. International Business Machines Corporation
9.7.6.1. Participant’s Overview
9.7.6.2. Financial Performance
9.7.6.3. Product Benchmarking
9.7.6.4. Recent Developments
9.7.7. Intel Corporation
9.7.7.1. Participant’s Overview
9.7.7.2. Financial Performance
9.7.7.3. Product Benchmarking
9.7.7.4. Recent Developments
9.7.8. Microsoft Corporation
9.7.8.1. Participant’s Overview
9.7.8.2. Financial Performance
9.7.8.3. Product Benchmarking
9.7.8.4. Recent Developments
9.7.9. NVIDIA Corporation
9.7.9.1. Participant’s Overview
9.7.9.2. Financial Performance
9.7.9.3. Product Benchmarking
9.7.9.4. Recent Developments
9.7.10. Oracle Corporation
9.7.10.1. Participant’s Overview
9.7.10.2. Financial Performance
9.7.10.3. Product Benchmarking
9.7.10.4. Recent Developments
9.7.11. Samsung
9.7.11.1. Participant’s Overview
9.7.11.2. Financial Performance
9.7.11.3. Product Benchmarking
9.7.11.4. Recent Developments
9.7.12. SAP SE
9.7.12.1. Participant’s Overview
9.7.12.2. Financial Performance
9.7.12.3. Product Benchmarking
9.7.12.4. Recent Developments

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