AI in Supply Chain Market by Application (Demand Planning & Forecasting, Supply Chain Risk Management, Inventory Management, Warehouse & Transportation Management), Services (Professional, and Managed), Software - Global Forecast to 2030
The AI in supply chain market is projected to grow from USD 9.15 billion in 2024 and is expected to reach USD 40.53 billion by 2030, growing at a CAGR of 28.2% from 2024 to 2030. Al has improved customers satisfaction toward consumer products. This improvement benefits the organization by maintaining sales tracking and hence garnering more customers. The machine learning techniques that involve deep analytics and real-time monitoring significantly enhance the supply chain visibility of the businesses and hence enable them to deliver better customer experiences and maintain the pace within the delivery timelines. Therefore, market players are employing Al-based supply chain management solutions to increase efficiency and productivity.
“The cloud segment in the AI in supply chain market to witness higher growth rate during the forecast period.”
Cloud segment is mainly driven by cloud-based solutions that are increasingly being adopted by small and medium enterprises, primarily because they provide the flexibility, scalability, and cost-effectiveness features that the organizations require. In addition, the speed in developing sophisticated security solutions for cloud-based deployment offers answers to issues that existed on data privacy and thus attract businesses seeking to adopt AI without investing in big premises-based infrastructure.
“The US is expected to hold the largest market size in the North America region during the forecast period.”
The US companies face pressure and competition to reduce costs while maintaining high levels of customer service. AI supply chain solutions allow for the automation of tasks, analyzing big data, and generating actionable insights that might make efficiency, transparency, and agility inside the supply chain more efficient. There has been a manufacturing and logistics labor shortfall in the US. The use of AI helps to eliminate a human workforce so that activities relate more to higher-value tasks requiring expertise and experience. Further, the US is a leading country in AI research and development. This encourages the development of advanced AI solutions specifically for supply chain applications.
Report Coverage
The report defines, describes, and forecasts the AI in supply chain market based on offering, deployment, organization size, application, end-use industry, and region. It provides detailed information regarding drivers, restraints, opportunities, and challenges influencing the growth of the AI in supply chain market. It also analyzes competitive developments such as acquisitions, product launches, expansions, and actions carried out by the key players to grow in the market.
Reasons to Buy This Report
The report will help the market leaders/new entrants in the market with information on the closest approximations of the revenue for the overall AI in supply chain market and the subsegments. The report will help stakeholders understand the competitive landscape and gain more insight to position their business better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key drivers, restraints, opportunities, and challenges.
The report will provide insights into the following pointers:
“The cloud segment in the AI in supply chain market to witness higher growth rate during the forecast period.”
Cloud segment is mainly driven by cloud-based solutions that are increasingly being adopted by small and medium enterprises, primarily because they provide the flexibility, scalability, and cost-effectiveness features that the organizations require. In addition, the speed in developing sophisticated security solutions for cloud-based deployment offers answers to issues that existed on data privacy and thus attract businesses seeking to adopt AI without investing in big premises-based infrastructure.
“The US is expected to hold the largest market size in the North America region during the forecast period.”
The US companies face pressure and competition to reduce costs while maintaining high levels of customer service. AI supply chain solutions allow for the automation of tasks, analyzing big data, and generating actionable insights that might make efficiency, transparency, and agility inside the supply chain more efficient. There has been a manufacturing and logistics labor shortfall in the US. The use of AI helps to eliminate a human workforce so that activities relate more to higher-value tasks requiring expertise and experience. Further, the US is a leading country in AI research and development. This encourages the development of advanced AI solutions specifically for supply chain applications.
- By Company Type: Tier 1 – 20%, Tier 2 – 35%, and Tier 3 – 45%
- By Designation: C-level Executives – 15%, Directors –20%, and Others – 65%
- By Region: North America –20%, Europe – 15%, Asia Pacific– 60%, and RoW – 5%
Report Coverage
The report defines, describes, and forecasts the AI in supply chain market based on offering, deployment, organization size, application, end-use industry, and region. It provides detailed information regarding drivers, restraints, opportunities, and challenges influencing the growth of the AI in supply chain market. It also analyzes competitive developments such as acquisitions, product launches, expansions, and actions carried out by the key players to grow in the market.
Reasons to Buy This Report
The report will help the market leaders/new entrants in the market with information on the closest approximations of the revenue for the overall AI in supply chain market and the subsegments. The report will help stakeholders understand the competitive landscape and gain more insight to position their business better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key drivers, restraints, opportunities, and challenges.
The report will provide insights into the following pointers:
- Analysis of key drivers (Big data enhance supply chain efficiency through data-driven decision making) restraints (Shortage of skilled workforce)
- Product development /Innovation: Detailed insights on upcoming technologies, research & development activities, and new product launches in the AI in supply chain market.
- Market Development: Comprehensive information about lucrative markets; the report analyses the AI in supply chain market across various regions.
- Market Diversification: Exhaustive information about new products launched, untapped geographies, recent developments, and investments in the AI in supply chain market.
- Competitive Assessment: In-depth assessment of market share, growth strategies, and offering of leading players like SAP SE (Germany), Oracle (US), Blue Yonder Group, Inc. (US), Kinaxis Inc. (Canada), Manhattan Associates (US) among others in the AI in supply chain market.
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 INCLUSIONS AND EXCLUSIONS
1.4 YEARS CONSIDERED
1.5 CURRENCY CONSIDERED
1.6 UNITS CONSIDERED
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 List of interview participants
2.1.2.2 Breakdown of primary interviews
2.1.2.3 Key data from primary sources
2.1.2.4 Insights from industry experts
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to estimate market size using bottom-up analysis
(supply side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to estimate market size using top-down analysis
(demand side)
2.3 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
2.6 RISK ASSESSMENT
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN SUPPLY CHAIN MARKET
4.2 AI IN SUPPLY CHAIN MARKET, BY OFFERING
4.3 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT
4.4 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE
4.5 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT AND COUNTRY
4.6 GLOBAL AI IN SUPPLY CHAIN MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Growing implementation of big data and AI technologies
5.2.1.2 Need for enhanced visibility in supply chain processes
5.2.1.3 Rapid AI integration to improve customer satisfaction
5.2.1.4 Shift toward cloud-based supply chain solutions
5.2.2 RESTRAINTS
5.2.2.1 Shortage of skilled workforce
5.2.2.2 Security and data privacy concerns
5.2.3 OPPORTUNITIES
5.2.3.1 Surge in demand for intelligent business processes and automation
5.2.3.2 Improved operational efficiency with AI
5.2.4 CHALLENGES
5.2.4.1 Difficulties in seamless data integration from multiple sources
5.3 VALUE CHAIN ANALYSIS
5.4 ECOSYSTEM ANALYSIS
5.5 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.6 TECHNOLOGY ANALYSIS
5.6.1 KEY TECHNOLOGIES
5.6.1.1 Machine Learning
5.6.1.2 Natural Language Processing
5.6.1.3 Computer Vision
5.6.2 COMPLEMENTARY TECHNOLOGIES
5.6.2.1 Internet of Things
5.6.3 ADJACENT TECHNOLOGIES
5.6.3.1 Robotic Process Automation
5.6.3.2 Internet of Things
5.6.3.3 Edge Computing
5.7 INVESTMENT AND FUNDING SCENARIO
5.8 PORTER’S FIVE FORCES ANALYSIS
5.8.1 INTENSITY OF COMPETITIVE RIVALRY
5.8.2 BARGAINING POWER OF SUPPLIERS
5.8.3 BARGAINING POWER OF BUYERS
5.8.4 THREAT OF SUBSTITUTES
5.8.5 THREAT OF NEW ENTRANTS
5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.9.2 BUYING CRITERIA
5.10 CASE STUDY ANALYSIS
5.10.1 INTEL CORPORATION BRINGS GRAPHICS PROCESSING UNIT TO VEHICLE COCKPIT
5.10.2 IBM AND NABP DEVELOP BLOCKCHAIN-BASED PLATFORM TO ENHANCE DRUG SUPPLY CHAIN SECURITY
5.10.3 UNIPER SE ENHANCES ENERGY OPERATIONS WITH MICROSOFT COPILOT
5.10.4 NORGREN STREAMLINES SUPPLY CHAIN WITH SAP SE INTEGRATED SOLUTIONS
5.10.5 TERADYNE ENHANCES SUPPLY CHAIN EFFICIENCY WITH C.H. ROBINSON WORLDWIDE’S INTEGRATED LOGISTICS SOLUTIONS
5.11 TRADE ANALYSIS
5.11.1 IMPORT SCENARIO (HS CODE 854231)
5.11.2 EXPORT SCENARIO (HS CODE 854231)
5.12 PATENT ANALYSIS
5.13 KEY CONFERENCES AND EVENTS, 2024–2025
5.14 REGULATORY LANDSCAPE
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.14.2 REGULATORY STANDARDS
5.14.3 GOVERNMENT REGULATIONS
5.15 PRICING ANALYSIS
6 AI IN SUPPLY CHAIN MARKET, BY OFFERING
6.1 INTRODUCTION
6.2 SOFTWARE
6.2.1 INCLINATION TOWARD SMART AUTOMATION TO DRIVE MARKET
6.3 SERVICES
6.3.1 MANAGED SERVICES
6.3.1.1 Extensive use in supply chain management to drive market
6.3.2 PROFESSIONAL SERVICES
6.3.2.1 Critical role in business innovation to drive market
7 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT
7.1 INTRODUCTION
7.2 CLOUD
7.2.1 GROWING POPULARITY DUE TO SIGNIFICANT ADVANTAGES TO DRIVE MARKET
7.3 ON-PREMISES
7.3.1 COMPLIANCE WITH STRINGENT REGULATORY REQUIREMENTS TO DRIVE MARKET
7.4 HYBRID
7.4.1 NEED FOR CLOUD SCALABILITY AND ON-PREMISES CONTROL TO DRIVE MARKET
8 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE
8.1 INTRODUCTION
8.2 LARGE ORGANIZATION
8.2.1 RAPID AI INTEGRATION ACROSS GLOBAL SUPPLY CHAIN NETWORKS TO DRIVE MARKET
8.3 SMALL & MEDIUM ORGANIZATION
8.3.1 ADVENT OF SCALABLE AND COST-EFFECTIVE AI SOLUTIONS TO DRIVE MARKET
9 AI IN SUPPLY CHAIN MARKET, BY APPLICATION
9.1 INTRODUCTION
9.2 DEMAND PLANNING & FORECASTING
9.2.1 REAL-TIME DATASET PROCESSING CAPACITY TO DRIVE MARKET
9.3 PROCUREMENT & SOURCING
9.3.1 AUTOMATION OF DATA-DRIVEN DECISION-MAKING TO DRIVE MARKET
9.4 INVENTORY MANAGEMENT
9.4.1 NEED FOR STEADY FLOW OF SUPPLIES AND FINISHED GOODS TO DRIVE MARKET
9.5 PRODUCTION PLANNING & SCHEDULING
9.5.1 ENHANCED SCHEDULING AND INVENTORY MANAGEMENT WITH AI ALGORITHMS TO DRIVE MARKET
9.6 WAREHOUSE & TRANSPORTATION MANAGEMENT
9.6.1 AI-DRIVEN DEMAND FORECASTING AND ROUTE OPTIMIZATION CAPABILITIES TO DRIVE MARKET
9.7 SUPPLY CHAIN RISK MANAGEMENT
9.7.1 ABILITY TO MITIGATE POTENTIAL DISRUPTIONS TO DRIVE MARKET
9.8 OTHER APPLICATIONS
10 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY
10.1 INTRODUCTION
10.2 RETAIL
10.2.1 RAPID ADOPTION OF AI TO ENHANCE CUSTOMER EXPERIENCE TO DRIVE MARKET
10.3 HEALTHCARE & PHARMACEUTICALS
10.3.1 INCREASED FUNDING TO ENHANCE OPERATIONAL EFFICIENCY TO DRIVE MARKET
10.4 FOOD & BEVERAGES
10.4.1 EXTENSIVE USE OF AI IN SUPPLY CHAIN TO PREDICT DEMAND TO DRIVE MARKET
10.5 AUTOMOTIVE
10.5.1 SURGE IN DEMAND FOR ELECTRIC AND AUTONOMOUS VEHICLES TO DRIVE MARKET
10.6 LOGISTICS & TRANSPORTATION
10.6.1 IMPLEMENTATION OF CLOUD-BASED SOLUTIONS TO REDUCE COSTS TO DRIVE MARKET
10.7 AEROSPACE & DEFENSE
10.7.1 GOVERNMENT INITIATIVES TO STRENGTHEN NATIONAL SECURITY TO DRIVE MARKET
10.8 CHEMICALS
10.8.1 NEED FOR PROCESS OPTIMIZATION IN SUPPLY CHAIN TO DRIVE MARKET
10.9 ELECTRONICS & SEMICONDUCTOR
10.9.1 RISE IN TECHNOLOGICAL INNOVATIONS TO DRIVE MARKET
10.10 ENERGY & UTILITIES
10.10.1 NEED FOR EFFICIENT ENERGY UTILIZATION TO DRIVE MARKET
10.11 MANUFACTURING
10.11.1 INCORPORATION OF INTELLIGENT SYSTEMS TO AUTOMATE OPERATIONS TO DRIVE MARKET
10.12 OTHER END-USE INDUSTRIES
11 AI IN SUPPLY CHAIN MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 MACROECONOMIC OUTLOOK
11.2.2 US
11.2.2.1 Increasing adoption of technology infrastructure and growth initiatives by US government to drive market
11.2.3 CANADA
11.2.3.1 Rising investments to boost adoption of AI across industries
11.2.4 MEXICO
11.2.4.1 Government initiatives to boost manufacturing capabilities in Mexico
11.3 EUROPE
11.3.1 MACROECONOMIC OUTLOOK
11.3.2 GERMANY
11.3.2.1 Increasing adoption of AI to drive market growth
11.3.3 UK
11.3.3.1 Continuous investments and initiatives by UK government to bolster growth
11.3.4 FRANCE
11.3.4.1 AI initiatives and investments to push French market forward
11.3.5 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 MACROECONOMIC OUTLOOK
11.4.2 CHINA
11.4.2.1 Government initiatives and rising investments to drive market growth
11.4.3 JAPAN
11.4.3.1 Growth in investments and government initiatives to drive innovation
11.4.4 SOUTH KOREA
11.4.4.1 Government investments in artificial intelligence to accelerate market growth
11.4.5 INDIA
11.4.5.1 Rapid surge in development and adoption of AI technologies to propel market
11.4.6 REST OF ASIA PACIFIC
11.5 REST OF THE WORLD
11.5.1 MACROECONOMIC OUTLOOK
11.5.2 MIDDLE EAST & AFRICA
11.5.2.1 Commitment to digital transformation and technological innovation to drive growth
11.5.2.2 GCC
11.5.2.3 Rest of Middle East & Africa
11.5.3 SOUTH AMERICA
11.5.3.1 Growing interest of private enterprises to boost market
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
12.3 REVENUE ANALYSIS, 2019–2023
12.4 MARKET SHARE ANALYSIS, 2023
12.5 COMPANY VALUATION AND FINANCIAL METRICS
12.6 BRAND/PRODUCT COMPARISON
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
12.7.1 STARS
12.7.2 EMERGING LEADERS
12.7.3 PERVASIVE PLAYERS
12.7.4 PARTICIPANTS
12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
12.7.5.1 Company footprint
12.7.5.2 Offering footprint
12.7.5.3 Deployment footprint
12.7.5.4 Organization size footprint
12.7.5.5 Application footprint
12.7.5.6 End-use industry footprint
12.7.5.7 Region footprint
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
12.8.1 PROGRESSIVE COMPANIES
12.8.2 RESPONSIVE COMPANIES
12.8.3 DYNAMIC COMPANIES
12.8.4 STARTING BLOCKS
12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
12.8.5.1 Detailed list of key startups/SMEs
12.8.5.2 Competitive benchmarking of key startups/SMEs
12.8.5.2.1 Competitive benchmarking, by offering and region
12.8.5.2.2 Competitive benchmarking, by application and deployment
12.8.5.2.3 Competitive benchmarking, by end-use industry and organization size
12.9 COMPETITIVE SCENARIO
12.9.1 PRODUCT LAUNCHES/DEVELOPMENTS
12.9.2 DEALS
13 COMPANY PROFILES
13.1 KEY PLAYERS
13.1.1 SAP SE
13.1.1.1 Business overview
13.1.1.2 Products/Services/Solutions offered
13.1.1.3 Recent developments
13.1.1.3.1 Deals
13.1.1.4 MnM view
13.1.1.4.1 Key strengths/Right to win
13.1.1.4.2 Strategic choices
13.1.1.4.3 Weaknesses/Competitive threats
13.1.2 ORACLE
13.1.2.1 Business overview
13.1.2.2 Products/Services/Solutions offered
13.1.2.3 Recent developments
13.1.2.3.1 Product launches/developments
13.1.2.3.2 Deals
13.1.2.4 MnM view
13.1.2.4.1 Key strengths/Right to win
13.1.2.4.2 Strategic choices
13.1.2.4.3 Weaknesses/Competitive threats
13.1.3 BLUE YONDER GROUP, INC.
13.1.3.1 Business overview
13.1.3.2 Products/Services/Solutions offered
13.1.3.3 Recent developments
13.1.3.3.1 Deals
13.1.3.4 MnM view
13.1.3.4.1 Key strengths/Right to win
13.1.3.4.2 Strategic choices
13.1.3.4.3 Weaknesses/Competitive threats
13.1.4 KINAXIS INC.
13.1.4.1 Business overview
13.1.4.2 Products/Services/Solutions offered
13.1.4.3 Recent developments
13.1.4.3.1 Product launches/developments
13.1.4.3.2 Deals
13.1.4.4 MnM view
13.1.4.4.1 Key strengths/Right to win
13.1.4.4.2 Strategic choices
13.1.4.4.3 Weaknesses/Competitive threats
13.1.5 MANHATTAN ASSOCIATES
13.1.5.1 Business overview
13.1.5.2 Products/Services/Solutions offered
13.1.5.3 Recent developments
13.1.5.3.1 Product launches/developments
13.1.5.3.2 Deals
13.1.5.4 MnM view
13.1.5.4.1 Key strengths/Right to win
13.1.5.4.2 Strategic choices
13.1.5.4.3 Weaknesses/Competitive threats
13.1.6 NVIDIA CORPORATION
13.1.6.1 Business overview
13.1.6.2 Products/Services/Solutions offered
13.1.6.3 Recent developments
13.1.6.3.1 Product launches/developments
13.1.6.3.2 Deals
13.1.7 ADVANCED MICRO DEVICES, INC.
13.1.7.1 Business overview
13.1.7.2 Products/Services/Solutions offered
13.1.7.3 Recent developments
13.1.7.3.1 Product launches/developments
13.1.7.3.2 Deals
13.1.8 INTEL CORPORATION
13.1.8.1 Business overview
13.1.8.2 Products/Services/Solutions offered
13.1.8.3 Recent developments
13.1.8.3.1 Product launches/developments
13.1.9 MICRON TECHNOLOGY, INC.
13.1.9.1 Business overview
13.1.9.2 Products/Services/Solutions offered
13.1.9.3 Recent developments
13.1.9.3.1 Deals
13.1.10 QUALCOMM TECHNOLOGIES, INC.
13.1.10.1 Business overview
13.1.10.2 Products/Services/Solutions offered
13.1.10.3 Recent developments
13.1.10.3.1 Product launches/developments
13.1.10.3.2 Deals
13.1.11 SAMSUNG
13.1.11.1 Business overview
13.1.11.2 Products/Services/Solutions offered
13.1.11.3 Recent developments
13.1.11.3.1 Product launches/developments
13.1.11.3.2 Deals
13.1.12 IBM
13.1.12.1 Business overview
13.1.12.2 Products/Services/Solutions offered
13.1.12.3 Recent developments
13.1.12.3.1 Deals
13.1.13 MICROSOFT
13.1.13.1 Business overview
13.1.13.2 Products/Services/Solutions offered
13.1.13.3 Recent developments
13.1.13.3.1 Deals
13.1.14 AMAZON WEB SERVICES, INC.
13.1.14.1 Business overview
13.1.14.2 Products/Services/Solutions offered
13.1.14.3 Recent developments
13.1.14.3.1 Product launches/developments
13.1.14.3.2 Deals
13.1.15 GOOGLE
13.1.15.1 Business overview
13.1.15.2 Products/Services/Solutions offered
13.1.15.3 Recent developments
13.1.15.3.1 Product launches/developments
13.1.15.3.2 Deals
13.1.16 ANAPLAN, INC.
13.1.16.1 Business overview
13.1.16.2 Products/Services/Solutions offered
13.1.16.3 Recent developments
13.1.16.3.1 Deals
13.2 OTHER PLAYERS
13.2.1 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.
13.2.2 COUPA
13.2.3 O9 SOLUTIONS, INC.
13.2.4 ALIBABA GROUP HOLDING LIMITED
13.2.5 FEDEX CORPORATION
13.2.6 DEUTSCHE POST AG
13.2.7 SERVICENOW
13.2.8 PROJECT44
13.2.9 RESILINC CORPORATION
13.2.10 FOURKITES, INC.
13.2.11 RELEX SOLUTIONS
13.2.12 C.H. ROBINSON WORLDWIDE, INC.
13.2.13 E2OPEN, LLC
13.2.14 FERO.AI
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 INCLUSIONS AND EXCLUSIONS
1.4 YEARS CONSIDERED
1.5 CURRENCY CONSIDERED
1.6 UNITS CONSIDERED
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 List of interview participants
2.1.2.2 Breakdown of primary interviews
2.1.2.3 Key data from primary sources
2.1.2.4 Insights from industry experts
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to estimate market size using bottom-up analysis
(supply side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to estimate market size using top-down analysis
(demand side)
2.3 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
2.6 RISK ASSESSMENT
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN SUPPLY CHAIN MARKET
4.2 AI IN SUPPLY CHAIN MARKET, BY OFFERING
4.3 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT
4.4 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE
4.5 NORTH AMERICA: AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT AND COUNTRY
4.6 GLOBAL AI IN SUPPLY CHAIN MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Growing implementation of big data and AI technologies
5.2.1.2 Need for enhanced visibility in supply chain processes
5.2.1.3 Rapid AI integration to improve customer satisfaction
5.2.1.4 Shift toward cloud-based supply chain solutions
5.2.2 RESTRAINTS
5.2.2.1 Shortage of skilled workforce
5.2.2.2 Security and data privacy concerns
5.2.3 OPPORTUNITIES
5.2.3.1 Surge in demand for intelligent business processes and automation
5.2.3.2 Improved operational efficiency with AI
5.2.4 CHALLENGES
5.2.4.1 Difficulties in seamless data integration from multiple sources
5.3 VALUE CHAIN ANALYSIS
5.4 ECOSYSTEM ANALYSIS
5.5 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.6 TECHNOLOGY ANALYSIS
5.6.1 KEY TECHNOLOGIES
5.6.1.1 Machine Learning
5.6.1.2 Natural Language Processing
5.6.1.3 Computer Vision
5.6.2 COMPLEMENTARY TECHNOLOGIES
5.6.2.1 Internet of Things
5.6.3 ADJACENT TECHNOLOGIES
5.6.3.1 Robotic Process Automation
5.6.3.2 Internet of Things
5.6.3.3 Edge Computing
5.7 INVESTMENT AND FUNDING SCENARIO
5.8 PORTER’S FIVE FORCES ANALYSIS
5.8.1 INTENSITY OF COMPETITIVE RIVALRY
5.8.2 BARGAINING POWER OF SUPPLIERS
5.8.3 BARGAINING POWER OF BUYERS
5.8.4 THREAT OF SUBSTITUTES
5.8.5 THREAT OF NEW ENTRANTS
5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.9.2 BUYING CRITERIA
5.10 CASE STUDY ANALYSIS
5.10.1 INTEL CORPORATION BRINGS GRAPHICS PROCESSING UNIT TO VEHICLE COCKPIT
5.10.2 IBM AND NABP DEVELOP BLOCKCHAIN-BASED PLATFORM TO ENHANCE DRUG SUPPLY CHAIN SECURITY
5.10.3 UNIPER SE ENHANCES ENERGY OPERATIONS WITH MICROSOFT COPILOT
5.10.4 NORGREN STREAMLINES SUPPLY CHAIN WITH SAP SE INTEGRATED SOLUTIONS
5.10.5 TERADYNE ENHANCES SUPPLY CHAIN EFFICIENCY WITH C.H. ROBINSON WORLDWIDE’S INTEGRATED LOGISTICS SOLUTIONS
5.11 TRADE ANALYSIS
5.11.1 IMPORT SCENARIO (HS CODE 854231)
5.11.2 EXPORT SCENARIO (HS CODE 854231)
5.12 PATENT ANALYSIS
5.13 KEY CONFERENCES AND EVENTS, 2024–2025
5.14 REGULATORY LANDSCAPE
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.14.2 REGULATORY STANDARDS
5.14.3 GOVERNMENT REGULATIONS
5.15 PRICING ANALYSIS
6 AI IN SUPPLY CHAIN MARKET, BY OFFERING
6.1 INTRODUCTION
6.2 SOFTWARE
6.2.1 INCLINATION TOWARD SMART AUTOMATION TO DRIVE MARKET
6.3 SERVICES
6.3.1 MANAGED SERVICES
6.3.1.1 Extensive use in supply chain management to drive market
6.3.2 PROFESSIONAL SERVICES
6.3.2.1 Critical role in business innovation to drive market
7 AI IN SUPPLY CHAIN MARKET, BY DEPLOYMENT
7.1 INTRODUCTION
7.2 CLOUD
7.2.1 GROWING POPULARITY DUE TO SIGNIFICANT ADVANTAGES TO DRIVE MARKET
7.3 ON-PREMISES
7.3.1 COMPLIANCE WITH STRINGENT REGULATORY REQUIREMENTS TO DRIVE MARKET
7.4 HYBRID
7.4.1 NEED FOR CLOUD SCALABILITY AND ON-PREMISES CONTROL TO DRIVE MARKET
8 AI IN SUPPLY CHAIN MARKET, BY ORGANIZATION SIZE
8.1 INTRODUCTION
8.2 LARGE ORGANIZATION
8.2.1 RAPID AI INTEGRATION ACROSS GLOBAL SUPPLY CHAIN NETWORKS TO DRIVE MARKET
8.3 SMALL & MEDIUM ORGANIZATION
8.3.1 ADVENT OF SCALABLE AND COST-EFFECTIVE AI SOLUTIONS TO DRIVE MARKET
9 AI IN SUPPLY CHAIN MARKET, BY APPLICATION
9.1 INTRODUCTION
9.2 DEMAND PLANNING & FORECASTING
9.2.1 REAL-TIME DATASET PROCESSING CAPACITY TO DRIVE MARKET
9.3 PROCUREMENT & SOURCING
9.3.1 AUTOMATION OF DATA-DRIVEN DECISION-MAKING TO DRIVE MARKET
9.4 INVENTORY MANAGEMENT
9.4.1 NEED FOR STEADY FLOW OF SUPPLIES AND FINISHED GOODS TO DRIVE MARKET
9.5 PRODUCTION PLANNING & SCHEDULING
9.5.1 ENHANCED SCHEDULING AND INVENTORY MANAGEMENT WITH AI ALGORITHMS TO DRIVE MARKET
9.6 WAREHOUSE & TRANSPORTATION MANAGEMENT
9.6.1 AI-DRIVEN DEMAND FORECASTING AND ROUTE OPTIMIZATION CAPABILITIES TO DRIVE MARKET
9.7 SUPPLY CHAIN RISK MANAGEMENT
9.7.1 ABILITY TO MITIGATE POTENTIAL DISRUPTIONS TO DRIVE MARKET
9.8 OTHER APPLICATIONS
10 AI IN SUPPLY CHAIN MARKET, BY END-USE INDUSTRY
10.1 INTRODUCTION
10.2 RETAIL
10.2.1 RAPID ADOPTION OF AI TO ENHANCE CUSTOMER EXPERIENCE TO DRIVE MARKET
10.3 HEALTHCARE & PHARMACEUTICALS
10.3.1 INCREASED FUNDING TO ENHANCE OPERATIONAL EFFICIENCY TO DRIVE MARKET
10.4 FOOD & BEVERAGES
10.4.1 EXTENSIVE USE OF AI IN SUPPLY CHAIN TO PREDICT DEMAND TO DRIVE MARKET
10.5 AUTOMOTIVE
10.5.1 SURGE IN DEMAND FOR ELECTRIC AND AUTONOMOUS VEHICLES TO DRIVE MARKET
10.6 LOGISTICS & TRANSPORTATION
10.6.1 IMPLEMENTATION OF CLOUD-BASED SOLUTIONS TO REDUCE COSTS TO DRIVE MARKET
10.7 AEROSPACE & DEFENSE
10.7.1 GOVERNMENT INITIATIVES TO STRENGTHEN NATIONAL SECURITY TO DRIVE MARKET
10.8 CHEMICALS
10.8.1 NEED FOR PROCESS OPTIMIZATION IN SUPPLY CHAIN TO DRIVE MARKET
10.9 ELECTRONICS & SEMICONDUCTOR
10.9.1 RISE IN TECHNOLOGICAL INNOVATIONS TO DRIVE MARKET
10.10 ENERGY & UTILITIES
10.10.1 NEED FOR EFFICIENT ENERGY UTILIZATION TO DRIVE MARKET
10.11 MANUFACTURING
10.11.1 INCORPORATION OF INTELLIGENT SYSTEMS TO AUTOMATE OPERATIONS TO DRIVE MARKET
10.12 OTHER END-USE INDUSTRIES
11 AI IN SUPPLY CHAIN MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 MACROECONOMIC OUTLOOK
11.2.2 US
11.2.2.1 Increasing adoption of technology infrastructure and growth initiatives by US government to drive market
11.2.3 CANADA
11.2.3.1 Rising investments to boost adoption of AI across industries
11.2.4 MEXICO
11.2.4.1 Government initiatives to boost manufacturing capabilities in Mexico
11.3 EUROPE
11.3.1 MACROECONOMIC OUTLOOK
11.3.2 GERMANY
11.3.2.1 Increasing adoption of AI to drive market growth
11.3.3 UK
11.3.3.1 Continuous investments and initiatives by UK government to bolster growth
11.3.4 FRANCE
11.3.4.1 AI initiatives and investments to push French market forward
11.3.5 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 MACROECONOMIC OUTLOOK
11.4.2 CHINA
11.4.2.1 Government initiatives and rising investments to drive market growth
11.4.3 JAPAN
11.4.3.1 Growth in investments and government initiatives to drive innovation
11.4.4 SOUTH KOREA
11.4.4.1 Government investments in artificial intelligence to accelerate market growth
11.4.5 INDIA
11.4.5.1 Rapid surge in development and adoption of AI technologies to propel market
11.4.6 REST OF ASIA PACIFIC
11.5 REST OF THE WORLD
11.5.1 MACROECONOMIC OUTLOOK
11.5.2 MIDDLE EAST & AFRICA
11.5.2.1 Commitment to digital transformation and technological innovation to drive growth
11.5.2.2 GCC
11.5.2.3 Rest of Middle East & Africa
11.5.3 SOUTH AMERICA
11.5.3.1 Growing interest of private enterprises to boost market
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
12.3 REVENUE ANALYSIS, 2019–2023
12.4 MARKET SHARE ANALYSIS, 2023
12.5 COMPANY VALUATION AND FINANCIAL METRICS
12.6 BRAND/PRODUCT COMPARISON
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
12.7.1 STARS
12.7.2 EMERGING LEADERS
12.7.3 PERVASIVE PLAYERS
12.7.4 PARTICIPANTS
12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
12.7.5.1 Company footprint
12.7.5.2 Offering footprint
12.7.5.3 Deployment footprint
12.7.5.4 Organization size footprint
12.7.5.5 Application footprint
12.7.5.6 End-use industry footprint
12.7.5.7 Region footprint
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
12.8.1 PROGRESSIVE COMPANIES
12.8.2 RESPONSIVE COMPANIES
12.8.3 DYNAMIC COMPANIES
12.8.4 STARTING BLOCKS
12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
12.8.5.1 Detailed list of key startups/SMEs
12.8.5.2 Competitive benchmarking of key startups/SMEs
12.8.5.2.1 Competitive benchmarking, by offering and region
12.8.5.2.2 Competitive benchmarking, by application and deployment
12.8.5.2.3 Competitive benchmarking, by end-use industry and organization size
12.9 COMPETITIVE SCENARIO
12.9.1 PRODUCT LAUNCHES/DEVELOPMENTS
12.9.2 DEALS
13 COMPANY PROFILES
13.1 KEY PLAYERS
13.1.1 SAP SE
13.1.1.1 Business overview
13.1.1.2 Products/Services/Solutions offered
13.1.1.3 Recent developments
13.1.1.3.1 Deals
13.1.1.4 MnM view
13.1.1.4.1 Key strengths/Right to win
13.1.1.4.2 Strategic choices
13.1.1.4.3 Weaknesses/Competitive threats
13.1.2 ORACLE
13.1.2.1 Business overview
13.1.2.2 Products/Services/Solutions offered
13.1.2.3 Recent developments
13.1.2.3.1 Product launches/developments
13.1.2.3.2 Deals
13.1.2.4 MnM view
13.1.2.4.1 Key strengths/Right to win
13.1.2.4.2 Strategic choices
13.1.2.4.3 Weaknesses/Competitive threats
13.1.3 BLUE YONDER GROUP, INC.
13.1.3.1 Business overview
13.1.3.2 Products/Services/Solutions offered
13.1.3.3 Recent developments
13.1.3.3.1 Deals
13.1.3.4 MnM view
13.1.3.4.1 Key strengths/Right to win
13.1.3.4.2 Strategic choices
13.1.3.4.3 Weaknesses/Competitive threats
13.1.4 KINAXIS INC.
13.1.4.1 Business overview
13.1.4.2 Products/Services/Solutions offered
13.1.4.3 Recent developments
13.1.4.3.1 Product launches/developments
13.1.4.3.2 Deals
13.1.4.4 MnM view
13.1.4.4.1 Key strengths/Right to win
13.1.4.4.2 Strategic choices
13.1.4.4.3 Weaknesses/Competitive threats
13.1.5 MANHATTAN ASSOCIATES
13.1.5.1 Business overview
13.1.5.2 Products/Services/Solutions offered
13.1.5.3 Recent developments
13.1.5.3.1 Product launches/developments
13.1.5.3.2 Deals
13.1.5.4 MnM view
13.1.5.4.1 Key strengths/Right to win
13.1.5.4.2 Strategic choices
13.1.5.4.3 Weaknesses/Competitive threats
13.1.6 NVIDIA CORPORATION
13.1.6.1 Business overview
13.1.6.2 Products/Services/Solutions offered
13.1.6.3 Recent developments
13.1.6.3.1 Product launches/developments
13.1.6.3.2 Deals
13.1.7 ADVANCED MICRO DEVICES, INC.
13.1.7.1 Business overview
13.1.7.2 Products/Services/Solutions offered
13.1.7.3 Recent developments
13.1.7.3.1 Product launches/developments
13.1.7.3.2 Deals
13.1.8 INTEL CORPORATION
13.1.8.1 Business overview
13.1.8.2 Products/Services/Solutions offered
13.1.8.3 Recent developments
13.1.8.3.1 Product launches/developments
13.1.9 MICRON TECHNOLOGY, INC.
13.1.9.1 Business overview
13.1.9.2 Products/Services/Solutions offered
13.1.9.3 Recent developments
13.1.9.3.1 Deals
13.1.10 QUALCOMM TECHNOLOGIES, INC.
13.1.10.1 Business overview
13.1.10.2 Products/Services/Solutions offered
13.1.10.3 Recent developments
13.1.10.3.1 Product launches/developments
13.1.10.3.2 Deals
13.1.11 SAMSUNG
13.1.11.1 Business overview
13.1.11.2 Products/Services/Solutions offered
13.1.11.3 Recent developments
13.1.11.3.1 Product launches/developments
13.1.11.3.2 Deals
13.1.12 IBM
13.1.12.1 Business overview
13.1.12.2 Products/Services/Solutions offered
13.1.12.3 Recent developments
13.1.12.3.1 Deals
13.1.13 MICROSOFT
13.1.13.1 Business overview
13.1.13.2 Products/Services/Solutions offered
13.1.13.3 Recent developments
13.1.13.3.1 Deals
13.1.14 AMAZON WEB SERVICES, INC.
13.1.14.1 Business overview
13.1.14.2 Products/Services/Solutions offered
13.1.14.3 Recent developments
13.1.14.3.1 Product launches/developments
13.1.14.3.2 Deals
13.1.15 GOOGLE
13.1.15.1 Business overview
13.1.15.2 Products/Services/Solutions offered
13.1.15.3 Recent developments
13.1.15.3.1 Product launches/developments
13.1.15.3.2 Deals
13.1.16 ANAPLAN, INC.
13.1.16.1 Business overview
13.1.16.2 Products/Services/Solutions offered
13.1.16.3 Recent developments
13.1.16.3.1 Deals
13.2 OTHER PLAYERS
13.2.1 LOGILITY SUPPLY CHAIN SOLUTIONS, INC.
13.2.2 COUPA
13.2.3 O9 SOLUTIONS, INC.
13.2.4 ALIBABA GROUP HOLDING LIMITED
13.2.5 FEDEX CORPORATION
13.2.6 DEUTSCHE POST AG
13.2.7 SERVICENOW
13.2.8 PROJECT44
13.2.9 RESILINC CORPORATION
13.2.10 FOURKITES, INC.
13.2.11 RELEX SOLUTIONS
13.2.12 C.H. ROBINSON WORLDWIDE, INC.
13.2.13 E2OPEN, LLC
13.2.14 FERO.AI
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
