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Artificial Intelligence in Supply Chain Market Size, Share & Trends Analysis Report By Offerings (Hardware, Processors, MPU, FGPA, and others) By Technology (Machine Learning, Supervised Learning, Unsupervised Learning, and others) By Applications (Fleet Management, Supply Chain Planning, Warehouse Management, Others) By End-User (Automotive, Aerospace, Manufacturing, Retail, Others) By Geography (North America, Europe, Asia-Pacific, South America, RoW) Forecast till 2028

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Global Artificial Intelligence in Supply Chain Market Overview 

The Global Artificial Intelligence in Supply Chain Market size is estimated to reach $ 1.9 billion by 2026, boosting at a CAGR of 42.3% during the forecast period, 2021-2026. Artificial Intelligence (AI) is already changing the face of the supply chain business, widening the gap between winners and losers. Artificial Intelligence drives enterprise-wide insight into all supply chain elements by weeding out deep-rooted inefficiencies and uncertainties, with granularity and methodology that humans can't match at scale. As a result, AI in supply chains assists in the delivery of the tremendous optimization skills necessary for more accurate capacity planning, more productivity, higher quality, lower costs, and higher output, all while encouraging safer working conditions.

 

Impact of COVID-19 on Artificial Intelligence in Supply Chain Market:

The COVID-19 pandemic has had a wide-ranging influence on governments, businesses, and organizations that have had to adjust to situations they have never faced before. The economic data is growing bleaker by the week, markets are shifting, and unemployment claims are rising. Fiscal and monetary reaction and the credit industry were among the earliest and most widely debated topics. Supply networks throughout the world, on the other hand, have been shattered for a different cause. The difficulty in gathering in large crowds, factory closures, retail shop closures, increasing demand for specific commodities, and shifting and changing business models have a significant influence on supply chains throughout the world.

 

Key Takeaways from Global Artificial Intelligence in Supply Chain Market Report:

  • Evaluate market potential through analyzing growth rates (CAGR %), Volume (Units), and Value ($M) data given at country level – for Offerings, Technology, Applications and by different industry verticals. Understand the various market dynamics – key driving factors, challenges, and hidden opportunities.
  • Get in-depth insights into your competitor's performance – market shares, strategies, financial benchmarking, product benchmarking, SWOT, etc.
  • Analyze the sales and distribution channels across key geographies to improve top-line revenues.
  • Understand the industry supply chain with a deep dive on the value augmentation at each step to optimize value and bring efficiencies in your processes. 
  • Get a quick outlook on the market entropy – M&As, deals, partnerships, product launches of all key players for the past four years. 
  • Evaluate the supply-demand gaps, import-export statistics, and regulatory landscape for more than the top 20 countries globally for the market

Artificial Intelligence in Supply Chain

By technology, the market for Computer Vision is to grow at the highest CAGR during the forecast period.

By End User, Artificial Intelligence in Supply Chain Market is segmented into Machine Learning, Natural Language Processing (NLP), Computer Vision, and Context Awareness. Computer Vision dominated the Artificial Intelligence in Supply Chain Market in 2020. It is the fastest-growing, with a CAGR of 43.9% over the forecast period 2021-2026. The use of computer vision technology in supply chain activities across several industrial verticals is fast rising. Therefore, this category is expected to increase quickly during the projected period. Many end-use industries worldwide have begun to use computer vision as a revolutionary technology in their operations. Soaring labor costs, more awareness of the benefits of AI solutions, increased demand for anti-theft solutions, and the availability of inexpensive robotics/automation are some of the primary drivers driving the computer vision technologies segment's quickest growth.

 

The Asia Pacific to account for the largest market share during the forecast period

North America held the largest share of the Artificial Intelligence in Supply Chain Market in 2020, with a global market share of 36.4%. It is due to the significant presence of essential actors and the presence of developed economies concentrating on improving current supply chain solutions.

 

The Asia Pacific is set to be the fastest-growing in Artificial Intelligence in Supply Chain Market. Changes are due to the increased usage of deep learning and natural language processing (NLP) technology in APAC for automotive, retail, and manufacturing applications. Furthermore, essential participants in the artificial intelligence ecosystem in the supply chain ecosystem lead to increased artificial intelligence adoption in APAC.

 

Market Dynamics

Driver: Government Initiatives and Policies in Developing Countries that are Promising driving Artificial Intelligence in the Supply Chain Market. 

Every participant in the supply chain business, including public companies and individual suppliers, is affected by government rules. However, there are several obstacles to adopting sound supply chain information systems in developing countries. Nevertheless, governments are carrying many steps and investing laboriously in increasing knowledge of current technology and combining them into company operations. Such investments help businesses meet their digital transformation goals while providing excellent service to their consumers.

 

Challenge: Limited number of AI experts is restraining Artificial Intelligence in Supply Chain Market growth.

According to the latest annual MHI Industry Report, which surveyed 1,001 supply chain professionals in manufacturing, transportation, and other industries, only 12% of supply chain professionals say their organizations are currently using artificial intelligence (AI) in their operations, with 60% expecting to do so within the next five years. The percentage of people employing AI had stayed the same as last year when 13% stated they were doing so. It is a severe constraint due to a lack of trained professionals in the supply chain.

 

Key Market Players

Pivotal Players in the Global Artificial Intelligence in Supply Chain Market consist of Amazon Web Services, Inc., project44., Deutsche Post AG, FedEx, GENERAL ELECTRIC, Google LLC, IBM, Intel Corporation, Coupa Software Inc.., Micron Technology, Inc., and Others.

 

Report Coverage and Scope

The report "Global Artificial Intelligence in Supply Chain Market" by Research Informatic covers an in-depth detailed analysis for the following segment covered under the scope.

 

By Offerings

  • Hardware
  • Processors
  • MPU
  • GPU
  • FGPA
  • ASIC
  • Memory
  • Network
  • Software
  • AI Platforms
  • AI Solutions
  • Services
  • Deployment & Integration
  • Support & Maintenance

 

By Technology

  • Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Computer Vision
  • Context Awareness
  • Natural Processing Language (NLP)

 

By Applications

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

 

By End-User

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

 

By Geography

  • North America
  • Europe
  • APAC
  • RoW

 

Global Artificial Intelligence in Supply Chain Market Growth, Trend and Forecast 2022-2027

Chapter 1 Artificial Intelligence in Supply Chain Market Overview
1.1 Product Overview and Scope of Artificial Intelligence in Supply Chain
1.2 Artificial Intelligence in Supply Chain Market Segmentation by Offerings
1.2.1 Hardware
1.2.2 Processors
1.2.3 MPU
1.2.4 GPU
1.2.5 FGPA
1.2.6 ASIC
1.2.7 Memory
1.2.8 Network
1.2.9 Software
1.2.10 AI Platforms
1.2.11 AI Solutions
1.2.12 Services
1.2.13 Deployment & Integration
1.2.14 Support & Maintenance
1.3 Artificial Intelligence in Supply Chain Market Segmentation by Technology
1.3.1 Machine Learning
1.3.2 Supervised Learning
1.3.3 Unsupervised Learning
1.3.4 Reinforcement Learning
1.3.5 Computer Vision
1.3.6 Context Awareness
1.3.7 Natural Processing Language (NLP)
1.4 Artificial Intelligence in Supply Chain Market Segmentation by Applications
1.4.1 Fleet Management
1.4.2 Supply Chain Planning
1.4.3 Warehouse Management
1.4.4 Virtual Assistant
1.4.5 Risk Management
1.4.6 Freight Brokerage
1.4.7 Others
1.5 Artificial Intelligence in Supply Chain Market Segmentation by End-User
1.5.1 Automotive
1.5.3 Aerospace
1.5.4 Manufacturing
1.5.5 Retail
1.5.6 Healthcare
1.5.7 Consumer-Packaged Goods
1.5.8 Food & Beverages
1.5.9 Others
1.6 Artificial Intelligence in Supply Chain Market Segmentation by Regions
1.6.1 North America
1.6.2 China
1.6.3 Europe
1.6.4 Southeast Asia
1.6.5 Japan
1.6.6 India
1.6.7 Global Market Size (Value) of Artificial Intelligence in Supply Chain (2015-2028)

Chapter 2 Global Economic Impact on Artificial Intelligence in Supply Chain Industry
2.1 Global Macroeconomic Environment Analysis
2.1.1 Global Macroeconomic Analysis
2.1.2 Global Macroeconomic Environment Development Trend
2.2 Global Macroeconomic Environment Analysis by Regions

Chapter 3 Global Artificial Intelligence in Supply Chain Market Competition by Manufacturers
3.1 Global Artificial Intelligence in Supply Chain Production and Share by Manufacturers (2021 and 2022)
3.2 Global Artificial Intelligence in Supply Chain Revenue and Share by Manufacturers (2021 and 2022)
3.3 Global Artificial Intelligence in Supply Chain Average Price by Manufacturers (2021 and 2022)
3.4 Manufacturers Artificial Intelligence in Supply Chain Manufacturing Base Distribution, Production Area and Product Type
3.5 Artificial Intelligence in Supply Chain Market Competitive Situation and Trends
3.5.1 Artificial Intelligence in Supply Chain Market Concentration Rate
3.5.2 Artificial Intelligence in Supply Chain Market Share of Top 3 and Top 5 Manufacturers
3.5.3 Mergers & Acquisitions, Expansion

Chapter 4 Global Artificial Intelligence in Supply Chain Production, Revenue (Value) by Region (2015-2022)
4.1 Global Artificial Intelligence in Supply Chain Production by Region (2015-2022)
4.2 Global Artificial Intelligence in Supply Chain Production Market Share by Region (2015-2022)
4.3 Global Artificial Intelligence in Supply Chain Revenue (Value) and Market Share by Region (2015-2022)
4.4 Global Artificial Intelligence in Supply Chain Production, Revenue, Price and Gross Margin (2015-2022)
4.5 North America Artificial Intelligence in Supply Chain Production, Revenue, Price and Gross Margin (2015-2022)
4.6 Europe Artificial Intelligence in Supply Chain Production, Revenue, Price and Gross Margin (2015-2022)
4.7 China Artificial Intelligence in Supply Chain Production, Revenue, Price and Gross Margin (2015-2022)
4.8 Japan Artificial Intelligence in Supply Chain Production, Revenue, Price and Gross Margin (2015-2022)
4.9 Southeast Asia Artificial Intelligence in Supply Chain Production, Revenue, Price and Gross Margin (2015-2022)
4.10 India Artificial Intelligence in Supply Chain Production, Revenue, Price and Gross Margin (2015-2022)

Chapter 5 Global Artificial Intelligence in Supply Chain Supply (Production), Consumption, Export, Import by Regions (2015-2022)
5.1 Global Artificial Intelligence in Supply Chain Consumption by Regions (2015-2022)
5.2 North America Artificial Intelligence in Supply Chain Production, Consumption, Export, Import by Regions (2015-2022)
5.3 Europe Artificial Intelligence in Supply Chain Production, Consumption, Export, Import by Regions (2015-2022)
5.4 China Artificial Intelligence in Supply Chain Production, Consumption, Export, Import by Regions (2015-2022)
5.5 Japan Artificial Intelligence in Supply Chain Production, Consumption, Export, Import by Regions (2015-2022)
5.6 Southeast Asia Artificial Intelligence in Supply Chain Production, Consumption, Export, Import by Regions (2015-2022)
5.7 India Artificial Intelligence in Supply Chain Production, Consumption, Export, Import by Regions (2015-2022)

Chapter 6 Global Artificial Intelligence in Supply Chain Production, Revenue (Value), Price Trend by Type
6.1 Global Artificial Intelligence in Supply Chain Production and Market Share by Type (2015-2022)
6.2 Global Artificial Intelligence in Supply Chain Revenue and Market Share by Type (2015-2022)
6.3 Global Artificial Intelligence in Supply Chain Price by Type (2015-2022)
6.4 Global Artificial Intelligence in Supply Chain Production Growth by Type (2015-2022)

Chapter 7 Global Artificial Intelligence in Supply Chain Market Analysis by Application
7.1 Global Artificial Intelligence in Supply Chain Consumption and Market Share by Application (2015-2022)
7.2 Global Artificial Intelligence in Supply Chain Consumption Growth Rate by Application (2015-2022)
7.3 Market Drivers and Opportunities
7.3.1 Potential Applications
7.3.2 Emerging Markets/Countries

Chapter 8 Artificial Intelligence in Supply Chain Manufacturing Cost Analysis
8.1 Artificial Intelligence in Supply Chain Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Price Trend of Key Raw Materials
8.1.3 Key Suppliers of Raw Materials
8.1.4 Market Concentration Rate of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.2.1 Raw Materials
8.2.2 Labor Cost
8.2.3 Manufacturing Expenses
8.3 Manufacturing Process Analysis of Artificial Intelligence in Supply Chain

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
9.1 Artificial Intelligence in Supply Chain Industrial Chain Analysis
9.2 Upstream Raw Materials Sourcing
9.3 Raw Materials Sources of Artificial Intelligence in Supply Chain Major Manufacturers in 2022
9.4 Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders
10.1 Marketing Channel
10.1.1 Direct Marketing
10.1.2 Indirect Marketing
10.1.3 Marketing Channel Development Trend
10.2 Market Positioning
10.2.1 Pricing Strategy
10.2.2 Brand Strategy
10.2.3 Target Client
10.3 Distributors/Traders List

Chapter 11 Market Effect Factors Analysis
11.1 Technology Progress/Risk
11.1.1 Substitutes Threat
11.1.2 Technology Progress in Related Industry
11.2 Consumer Needs/Customer Preference Change
11.3 Economic/Political Environmental Change

Chapter 12 Global Artificial Intelligence in Supply Chain Market Forecast (2022-2027)
12.1 Global Artificial Intelligence in Supply Chain Production, Revenue Forecast (2022-2027)
12.2 Global Artificial Intelligence in Supply Chain Production, Consumption Forecast by Regions (2022-2027)
12.3 Global Artificial Intelligence in Supply Chain Production Forecast by Type (2022-2027)
12.4 Global Artificial Intelligence in Supply Chain Consumption Forecast by Application (2022-2027)
12.5 Artificial Intelligence in Supply Chain Price Forecast (2022-2027)

Chapter 13 Appendix

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Personalize this Research

  • Market Size and Share from 2016 - 2027
  • Expected Market Growth Until 2027
  • COVID-19 Impact assessment on the market
  • Market Dynamics and Impact Analysis
  • Segment and region that will drive or lead the market growth and why
  • Industry activity comprising Mergers, Acquisitions, Expansion, etc.
  • Comprehensive Mapping of the Competitive Landscape
  • In-depth analysis of key sustainability strategies adopted by market players
  • Global and regional market trends – Current and Future
  • Value Chain Analysis
  • Porters Five Forces Analysis
  • Historical and Current Product Pricing
  • Country Cross-Segment Analysis
  • Company Profiling
  • Player Comparison Matrix

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