Artificial Intelligence in Supply Chain Market by Offering (Hardware, Services, Software), Technology (Augmented Reality, Computer Vision, Context-Aware Computing), Application, Industry - Global Forecast 2024-2030

Artificial Intelligence in Supply Chain Market by Offering (Hardware, Services, Software), Technology (Augmented Reality, Computer Vision, Context-Aware Computing), Application, Industry - Global Forecast 2024-2030


The Artificial Intelligence in Supply Chain Market size was estimated at USD 4.22 billion in 2023 and expected to reach USD 5.32 billion in 2024, at a CAGR 26.15% to reach USD 21.46 billion by 2030.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Supply Chain Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Supply Chain Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Supply Chain Market, highlighting leading vendors and their innovative profiles. These include Alibaba Group Holding Limited, Amazon.com, Inc., American Software, Inc., Berkshire Grey, Inc., Coupa Software Inc., Deutsche Post AG, Intel Corporation, International Business Machines Corporation, Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, RELEX Solutions, SAP SE, and Splice Machine, Inc..

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Supply Chain Market to forecast the revenues and analyze trends in each of the following sub-markets:

Offering

Hardware

Memory
  • Network
  • Processors
  • Services

    Deployment & Integration
  • Support & Maintenance
  • Software
  • Technology

    Augmented Reality
  • Computer Vision
  • Context-Aware Computing
  • Machine Learning

    Reinforcement Learning
  • Supervised Learning
  • Unsupervised Learning
  • Natural Language Processing
  • Application

    Fleet Management
  • Freight Brokerage
  • Risk Management
  • Supply Chain Planning
  • Virtual Assistant
  • Warehouse Management
  • Industry

    Aerospace
  • Automotive
  • Consumer-Packaged Goods
  • Food & Beverages
  • Healthcare
  • Manufacturing
  • Retail
  • Region

    Americas

    Argentina
  • Brazil
  • Canada
  • Mexico
  • United States

    California
  • Florida
  • Illinois
  • New York
  • Ohio
  • Pennsylvania
  • Texas
  • Asia-Pacific

    Australia
  • China
  • India
  • Indonesia
  • Japan
  • Malaysia
  • Philippines
  • Singapore
  • South Korea
  • Taiwan
  • Thailand
  • Vietnam
  • Europe, Middle East & Africa

    Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom
    The report offers valuable insights on the following aspects:

    1. Market Penetration: It presents comprehensive information on the market provided by key players.
    2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
    3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
    4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
    5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
    The report addresses key questions such as:

    1. What is the market size and forecast of the Artificial Intelligence in Supply Chain Market?
    2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Supply Chain Market?
    3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Supply Chain Market?
    4. What is the market share of the leading vendors in the Artificial Intelligence in Supply Chain Market?
    5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Supply Chain Market?


    Note: PDF & Excel + Online Access - 1 Year

  • 1. Preface
    1.1. Objectives of the Study
    1.2. Market Segmentation & Coverage
    1.3. Years Considered for the Study
    1.4. Currency & Pricing
    1.5. Language
    1.6. Limitations
    1.7. Assumptions
    1.8. Stakeholders
    2. Research Methodology
    2.1. Define: Research Objective
    2.2. Determine: Research Design
    2.3. Prepare: Research Instrument
    2.4. Collect: Data Source
    2.5. Analyze: Data Interpretation
    2.6. Formulate: Data Verification
    2.7. Publish: Research Report
    2.8. Repeat: Report Update
    3. Executive Summary
    4. Market Overview
    4.1. Introduction
    4.2. Artificial Intelligence in Supply Chain Market, by Region
    5. Market Insights
    5.1. Market Dynamics
    5.1.1. Drivers
    5.1.1.1. Increasing necessity for better visibility and transparency in supply chain network
    5.1.1.2. Growing demand for systematic and efficient inventory management
    5.1.1.3. Rising focus on reduction in warehouse cost
    5.1.2. Restraints
    5.1.2.1. High cost of AI enabled softwares
    5.1.3. Opportunities
    5.1.3.1. Rapidly growing e-commerce industry
    5.1.3.2. Growing inclination towards digitized supply chain
    5.1.4. Challenges
    5.1.4.1. Dearth of skilled workforce to manage AI softwares
    5.2. Market Segmentation Analysis
    5.3. Market Trend Analysis
    5.4. Cumulative Impact of High Inflation
    5.5. Porter’s Five Forces Analysis
    5.5.1. Threat of New Entrants
    5.5.2. Threat of Substitutes
    5.5.3. Bargaining Power of Customers
    5.5.4. Bargaining Power of Suppliers
    5.5.5. Industry Rivalry
    5.6. Value Chain & Critical Path Analysis
    5.7. Regulatory Framework
    6. Artificial Intelligence in Supply Chain Market, by Offering
    6.1. Introduction
    6.2. Hardware
    6.3.1. Memory
    6.3.2. Network
    6.3.3. Processors
    6.3. Services
    6.4.1. Deployment & Integration
    6.4.2. Support & Maintenance
    6.4. Software
    7. Artificial Intelligence in Supply Chain Market, by Technology
    7.1. Introduction
    7.2. Augmented Reality
    7.3. Computer Vision
    7.4. Context-Aware Computing
    7.5. Machine Learning
    7.6.1. Reinforcement Learning
    7.6.2. Supervised Learning
    7.6.3. Unsupervised Learning
    7.6. Natural Language Processing
    8. Artificial Intelligence in Supply Chain Market, by Application
    8.1. Introduction
    8.2. Fleet Management
    8.3. Freight Brokerage
    8.4. Risk Management
    8.5. Supply Chain Planning
    8.6. Virtual Assistant
    8.7. Warehouse Management
    9. Artificial Intelligence in Supply Chain Market, by Industry
    9.1. Introduction
    9.2. Aerospace
    9.3. Automotive
    9.4. Consumer-Packaged Goods
    9.5. Food & Beverages
    9.6. Healthcare
    9.7. Manufacturing
    9.8. Retail
    10. Americas Artificial Intelligence in Supply Chain Market
    10.1. Introduction
    10.2. Argentina
    10.3. Brazil
    10.4. Canada
    10.5. Mexico
    10.6. United States
    11. Asia-Pacific Artificial Intelligence in Supply Chain Market
    11.1. Introduction
    11.2. Australia
    11.3. China
    11.4. India
    11.5. Indonesia
    11.6. Japan
    11.7. Malaysia
    11.8. Philippines
    11.9. Singapore
    11.10. South Korea
    11.11. Taiwan
    11.12. Thailand
    11.13. Vietnam
    12. Europe, Middle East & Africa Artificial Intelligence in Supply Chain Market
    12.1. Introduction
    12.2. Denmark
    12.3. Egypt
    12.4. Finland
    12.5. France
    12.6. Germany
    12.7. Israel
    12.8. Italy
    12.9. Netherlands
    12.10. Nigeria
    12.11. Norway
    12.12. Poland
    12.13. Qatar
    12.14. Russia
    12.15. Saudi Arabia
    12.16. South Africa
    12.17. Spain
    12.18. Sweden
    12.19. Switzerland
    12.20. Turkey
    12.21. United Arab Emirates
    12.22. United Kingdom
    13. Competitive Landscape
    13.1. FPNV Positioning Matrix
    13.2. Market Share Analysis, By Key Player
    13.3. Competitive Scenario Analysis, By Key Player
    14. Competitive Portfolio
    14.1. Key Company Profiles
    14.1.1. Alibaba Group Holding Limited
    14.1.2. Amazon.com, Inc.
    14.1.3. American Software, Inc.
    14.1.4. Berkshire Grey, Inc.
    14.1.5. Coupa Software Inc.
    14.1.6. Deutsche Post AG
    14.1.7. Intel Corporation
    14.1.8. International Business Machines Corporation
    14.1.9. Micron Technology, Inc.
    14.1.10. Microsoft Corporation
    14.1.11. NVIDIA Corporation
    14.1.12. Oracle Corporation
    14.1.13. RELEX Solutions
    14.1.14. SAP SE
    14.1.15. Splice Machine, Inc.
    14.2. Key Product Portfolio
    15. Appendix
    15.1. Discussion Guide
    15.2. License & Pricing
    FIGURE 1. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET RESEARCH PROCESS
    FIGURE 2. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, 2023 VS 2030
    FIGURE 3. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, 2018-2030 (USD MILLION)
    FIGURE 4. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY REGION, 2023 VS 2030 (%)
    FIGURE 5. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 6. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET DYNAMICS
    FIGURE 7. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY OFFERING, 2023 VS 2030 (%)
    FIGURE 8. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY OFFERING, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 9. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
    FIGURE 10. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 11. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
    FIGURE 12. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 13. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY INDUSTRY, 2023 VS 2030 (%)
    FIGURE 14. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY INDUSTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 16. AMERICAS ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 17. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY STATE, 2023 VS 2030 (%)
    FIGURE 18. UNITED STATES ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 23. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET, FPNV POSITIONING MATRIX, 2023
    FIGURE 24. ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKET SHARE, BY KEY PLAYER, 2023

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