Global Artificial Intelligence in Supply Chain Market

Global Artificial Intelligence in Supply Chain Market Size, Trends, and Analysis- Forecasts to 2026 By Offering (Hardware, Software, Services), By Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), By Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Risk Management, Freight Brokerage, Others), By End-User Industry (Automotive, Aerospace, Manufacturing, Retail, Healthcare, Consumer-Packaged Goods, Food and Beverages, Others), By Region (North America, Europe, Asia Pacific, MEA, and CSA), Competitive Landscape Company Market Share Analysis, and Competitor Analysis

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Global Artificial Intelligence in Supply Chain Market: Insights

The artificial intelligence in supply chain market is estimated to be valued at USD 0.73 billion in 2021 and is projected to reach USD 10.11 billion by 2026 at a CAGR of 45.5%.

The market will grow rapidly owing to few factors such as rapidly growing big data analysis field, flourishing business analytical industry, increasing demand for greater visibility and transparency in supply chain data and processes, and rapidly rising adoption trend of AI to improve consumer services and satisfaction. Furthermore, the market will grow exponentially owing to growing impact of cloud-based supply chain solutions, increasing demand for intelligent business process and automation and improving operational efficiency in manufacturing industry.

The augment of information technology in the operations of supply chain has changed the dynamic of the entire industry. With changing times and the emergence of technology, there has been gradual technological progression witnessed in the industry. Artificial Intelligence is the computer-based digital controlling ability, which associates with human beings and performs its task. The penetration of Artificial Intelligence (AI) in the supply chain market has evolved over the years. Majority of the supply chain market players have adapted themselves to the analytical cognitive supply chain management systems for efficient and smooth functioning of the same. Adopting Artificial intelligence into the workings has become a mainstream process that is inevitable for companies due to its ability to facilitate self-evaluating, adaptive, and brilliant inventory management and other databases.  The most noticeable feature of AI is its automation ability, which ensures pre-programmed working of the systems is undertaking the sale procedures and brings ease in the warehouses' operations. The routine operation of taking the orders, collecting the products mentioned in the cart, packaging, and delivery of the service are all being automated and monitored under the control towers of AI. These brought in automation also ensure timely delivery and systematic execution of sales, managing all the logistics and timely data. These systems also bring accuracy into the supply chain's working by bringing in virtual simulation and real-time visibility to the supply chain systems.

global artificial intelligence in supply chain market

Global Artificial Intelligence in Supply Chain Market: By Offerings

The market based on offering is segmented into hardware, software and services. The software segment will be the largest shareholder in the market from 2021 to 2026. The standardized operations of hardware have transitioned today into software-based applications of AI in the supply chain. Software systems offer a considerable smooth operating environment for the end-users as compared to hardware or services. Computer operations and digitalized technology under artificial intelligence are more applicable with software-based supply chains. The software enables the industry players to deliver better services and have more control over the programmings.

Global Artificial Intelligence in Supply Chain Market: By Technology

Machine learning, natural language processing, context-aware computing, computer vision are the technologies of this market. The machine learning segment is expected to grow at the fastest rate in the market from 2021 to 2026. Machine learning powers the majority of the AI-based supply chains today all over the world. It ensures efficient analytical engine performance. The majority of the industry players adapt to machine learning as it provides greater recommendations to their customers than their previous choices.

Global Artificial Intelligence in Supply Chain Market: By Application

Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Risk Management, Freight Brokerage, Others are the application areas of this market, where the warehouse management section will be the largest shareholder from 2021 to 2026. Warehouse efficiency is a crucial aspect of supply chain management. AI application in warehouse management ensures regular revivals of the products and items stored until they reach the customers. The combination of AI applications in warehouse management leverages more remarkable properties of the products.

Global Artificial Intelligence in Supply Chain Market: By End-User Industry

The retail industry today is the biggest end-user of Artificial Intelligence and hence is the largest market segment. With 12% growth in the retail e-commerce software, the application of AI is undoubtedly increasing. Retail supply chains like Amazon, Walmart, and Kroger Co. are highly utilizing AI-based software to expand their reach and consumer base across the world. With the help of AI, these supply chains have raised their productivity levels and their service provision.

asia pacific artificial intelligence in supply chain market

Global Artificial Intelligence in Supply Chain Market: By Region

As per the geographical analysis, the portable continuous positive airway pressure (CPAP) systems market can be classified into North America (the United States, Canada, and Mexico), Asia Pacific (India, China, Japan, Malaysia, Singapore, and the Rest of Asia Pacific), Europe (Germany, United Kingdom, Italy, France, Spain, Netherlands, and Rest of Europe), Middle East & Africa (Saudi Arabia, United Arab Emirates, and Rest of the Middle East & Africa) and Central South America (Brazil, Argentina, and Rest of Central and South America). North America holds its largest share in the market. North America being a hub for leading supply chain retailers like Amazon, Walmart, eBay, overstock, has contributed it to be the top regional market. However, the Asia Pacific region is analyzed to be the fastest growing segment in the market as that region is witnessing an increasing adoption of the technology and the emergence of big end-user industries.

Global Artificial Intelligence in Supply Chain Market: By Share & Competitor Analysis

Samsung, Google, Intel, NVIDIA, Xilinx, Micron, IBM, Microsoft, and Amazon are some of the major industry players.

Please note: This is not an exhaustive list of companies profiled in the report.

In February 2021, Amazon hosted Enterprise AI Awards during the Amazon AI Conclave to honor the excellence of various enterprises and their innovation in AI and machine learning.

Chapter 1   Methodology

1.1    Market Scope & Definitions

1.2    Estimates & Forecast Calculation

1.3    Historical Data Overview and Validation

1.4    Data Sources

1.4.1    Secondary

1.4.2    Primary

Chapter 2   Report Outlook

2.1    Artificial Intelligence in Supply Chain Industry Overview, 2021-2026

2.1.1    Industry Overview

2.1.2    Offering Overview

2.1.3    Technology Overview

2.1.4    End-User Overview

2.1.5    Application Overview

2.1.6    Regional Overview

Chapter 3   Artificial Intelligence in Supply Chain Market Trends

3.1    Market Segmentation

3.2    Industry Background, 2020-2026

3.3    Market Key Trends

3.3.1    Positive Trends

3.3.1.1    Rising adoption of AI in supply chain operations

3.3.1.2    Growing penetration of internet and smart phone users in APAC region

3.3.2    Industry Challenges

3.3.2.1    Lack of adequate supply chain infrastructure and automated AI based systems in developing nations

3.4    Prospective Growth Scenario

3.4.1    Offering Growth Scenario

3.4.2    Technology Growth Scenario

3.4.3    End-User Growth Scenario

3.4.4    Application Growth Scenario

3.5    COVID-19 Influence over Industry Growth

3.6    Porter’s Analysis

3.7    PESTEL Analysis

3.8    Value Chain & Supply Chain Analysis

3.9    Regulatory Framework

3.9.1    North America

3.9.2    Europe

3.9.3    APAC

3.9.4    LATAM

3.9.5    MEA

3.10    Application Overview

3.11    Market Share Analysis, 2020

3.11.1    Company Positioning Overview, 2020

Chapter 4   Artificial Intelligence in Supply Chain Market, By Offering

4.1    Offering Outlook

4.2    Hardware

4.2.1    Market Size, By Region, 2020-2026 (USD Million)

4.3    Software

4.3.1    Market Size, By Region, 2020-2026 (USD Million)

4.4    Services

4.4.1    Market Size, By Region, 2020-2026 (USD Million)

Chapter 5   Artificial Intelligence in Supply Chain Market, By End-User

5.1    End-User Outlook

5.2   Aerospace

5.2.1    Market Size, By Region, 2020-2026 (USD Million)

5.3    Automotive

5.3.1    Market Size, By Region, 2020-2026 (USD Million)

5.4    Manufacturing

5.4.1    Market Size, By Region, 2020-2026 (USD Million)

5.5    Retail

5.5.1    Market Size, By Region, 2020-2026 (USD Million)

5.6    Healthcare

5.6.1    Market Size, By Region, 2020-2026 (USD Million)

5.7    Consumer-Packaged Goods

5.7.1    Market Size, By Region, 2020-2026 (USD Million)

5.8    Food and Beverages

5.8.1    Market Size, By Region, 2020-2026 (USD Million)

5.9    Others

5.9.1    Market Size, By Region, 2020-2026 (USD Million)

Chapter 6   Artificial Intelligence in Supply Chain Market, By Technology

6.1    Machine Learning

6.1.1    Market Size, By Region, 2020-2026 (USD Million)

6.2    Natural Language Processing

6.2.1    Market Size, By Region, 2020-2026 (USD Million)

6.3    Context-Aware Computing

6.3.1    Market Size, By Region, 2020-2026 (USD Million)

6.4    Computer Vision

6.4.1    Market Size, By Region, 2020-2026 (USD Million)

Chapter 7   Artificial Intelligence in Supply Chain Market, By Application

7.1    Fleet Management

7.1.1    Market Size, By Region, 2020-2026 (USD Million)

7.2    Supply Chain Planning

7.2.1    Market Size, By Region, 2020-2026 (USD Million)

7.3    Warehouse Management

7.3.1    Market Size, By Region, 2020-2026 (USD Million)

7.4    Virtual Assistant

7.4.1    Market Size, By Region, 2020-2026 (USD Million)

7.5    Risk Management

7.5.1    Market Size, By Region, 2020-2026 (USD Million)

7.6    Freight Brokerage

7.6.1    Market Size, By Region, 2020-2026 (USD Million)

Chapter 8   Artificial Intelligence in Supply Chain Market, By Region

8.1    Regional outlook

8.2    North America

8.2.1    Market Size, By Country 2020-2026 (USD Million)

8.2.2    Market Size, By Offering, 2020-2026 (USD Million)

8.2.3    Market Size, By Technology, 2020-2026 (USD Million)

8.2.4    Market Size, By End-User, 2020-2026 (USD Million)

8.2.5    Market Size, By Application, 2020-2026 (USD Million)

8.2.6    U.S.

8.2.6.1    Market Size, By Offering, 2020-2026 (USD Million)

8.2.4.2    Market Size, By Technology, 2020-2026 (USD Million)

8.2.4.3    Market Size, By End-User, 2020-2026 (USD Million)

Market Size, By Application, 2020-2026 (USD Million)

8.2.7    Canada

8.2.7.1    Market Size, By Offering, 2020-2026 (USD Million)

8.2.7.2    Market Size, By Technology, 2020-2026 (USD Million)

8.2.7.3    Market Size, By End-User, 2020-2026 (USD Million)

8.2.7.4    Market Size, By Application, 2020-2026 (USD Million)

8.3    Europe

8.3.1    Market Size, By Country 2020-2026 (USD Million)

8.3.2    Market Size, By Offering, 2020-2026 (USD Million)

8.3.3    Market Size, By Technology, 2020-2026 (USD Million)

8.3.4    Market Size, By End-User, 2020-2026 (USD Million)

8.3.5    Market Size, By Application, 2020-2026 (USD Million)

8.3.6    Germany

8.3.6.1    Market Size, By Offering, 2020-2026 (USD Million)

8.3.6.2    Market Size, By Technology, 2020-2026 (USD Million)

8.3.6.3    Market Size, By End-User, 2020-2026 (USD Million)

8.3.6.4    Market Size, By Application, 2020-2026 (USD Million)

8.3.7    UK

8.3.7.1    Market Size, By Offering, 2020-2026 (USD Million)

8.3.7.2    Market Size, By Technology, 2020-2026 (USD Million)

8.3.7.3    Market Size, By End-User, 2020-2026 (USD Million)

8.3.7.4    Market Size, By Application, 2020-2026 (USD Million)

8.3.8    France

8.3.8.1    Market Size, By Offering, 2020-2026 (USD Million)

8.3.8.2    Market Size, By Technology, 2020-2026 (USD Million)

8.3.8.3    Market Size, By End-User, 2020-2026 (USD Million)

8.3.8.4    Market Size, By Application, 2020-2026 (USD Million)

8.3.9    Italy

8.3.9.1    Market Size, By Offering, 2020-2026 (USD Million)

8.3.9.2    Market Size, By Technology, 2020-2026 (USD Million)

8.3.9.3    Market Size, By End-User, 2020-2026 (USD Million)

8.3.9.4    Market Size, By Application, 2020-2026 (USD Million)

8.3.10    Spain

8.3.10.1    Market Size, By Offering, 2020-2026 (USD Million)

8.3.10.2    Market Size, By Technology, 2020-2026 (USD Million)

8.3.10.3    Market Size, By End-User, 2020-2026 (USD Million)

8.3.10.4    Market Size, By Application, 2020-2026 (USD Million)

8.3.11    Russia

8.3.11.1    Market Size, By Offering, 2020-2026 (USD Million)

8.3.11.2    Market Size, By Technology, 2020-2026 (USD Million)

8.3.11.3    Market Size, By End-User, 2020-2026 (USD Million)

8.3.11.4    Market Size, By Application, 2020-2026 (USD Million)

8.4    Asia Pacific

8.4.1    Market Size, By Country 2020-2026 (USD Million)

8.4.2    Market Size, By Offering, 2020-2026 (USD Million)

8.4.3    Market Size, By Technology, 2020-2026 (USD Million)

8.4.4    Market Size, By End-User, 2020-2026 (USD Million)

8.4.5   Market Size, By Application, 2020-2026 (USD Million)

8.4.6    China

8.4.6.1    Market Size, By Offering, 2020-2026 (USD Million)

8.4.6.2    Market Size, By Technology, 2020-2026 (USD Million)

8.4.6.3    Market Size, By End-User, 2020-2026 (USD Million)

8.4.6.4    Market Size, By Application, 2020-2026 (USD Million)

8.4.7    India

8.4.7.1    Market Size, By Offering, 2020-2026 (USD Million)

8.4.7.2    Market Size, By Technology, 2020-2026 (USD Million)

8.4.7.3    Market Size, By End-User, 2020-2026 (USD Million)

8.4.7.4    Market Size, By Application, 2020-2026 (USD Million)

8.4.8    Japan

8.4.8.1    Market Size, By Offering, 2020-2026 (USD Million)

8.4.8.2    Market Size, By Technology, 2020-2026 (USD Million)

8.4.8.3    Market Size, By End-User, 2020-2026 (USD Million)

8.4.8.4    Market Size, By Application, 2020-2026 (USD Million)

8.4.9    Australia

8.4.9.1    Market Size, By Offering, 2020-2026 (USD Million)

8.4.9.2    Market size, By Technology, 2020-2026 (USD Million)

8.4.9.3    Market Size, By End-User, 2020-2026 (USD Million)

8.4.9.4    Market Size, By Application, 2020-2026 (USD Million)

8.4.10    South Korea

8.4.10.1    Market Size, By Offering, 2020-2026 (USD Million)

8.4.10.2    Market Size, By Technology, 2020-2026 (USD Million)

8.4.10.3    Market Size, By End-User, 2020-2026 (USD Million)

8.4.10.4    Market Size, By Application, 2020-2026 (USD Million)

8.5    Latin America

8.5.1    Market Size, By Country 2020-2026 (USD Million)

8.5.2    Market Size, By Offering, 2020-2026 (USD Million)

8.5.3    Market Size, By Technology, 2020-2026 (USD Million)

8.5.4   Market Size, By End-User, 2020-2026 (USD Million)

8.5.5   Market Size, By Application, 2020-2026 (USD Million)

8.5.6    Brazil

8.5.6.1    Market Size, By Offering, 2020-2026 (USD Million)

8.5.6.2    Market Size, By Technology, 2020-2026 (USD Million)

8.5.6.3    Market Size, By End-User, 2020-2026 (USD Million)

8.5.6.4    Market Size, By Application, 2020-2026 (USD Million)

8.5.7    Mexico

8.5.7.1    Market Size, By Offering, 2020-2026 (USD Million)

8.5.7.2    Market Size, By Technology, 2020-2026 (USD Million)

8.5.7.3    Market Size, By End-User, 2020-2026 (USD Million)

8.5.7.4    Market Size, By Application, 2020-2026 (USD Million)

8.5.8    Argentina

8.5.8.1    Market Size, By Offering, 2020-2026 (USD Million)

8.5.8.2    Market Size, By Technology, 2020-2026 (USD Million)

8.5.8.3    Market Size, By End-User, 2020-2026 (USD Million)

8.5.8.4    Market Size, By Application, 2020-2026 (USD Million)

8.6    MEA

8.6.1    Market Size, By Country 2020-2026 (USD Million)

8.6.2    Market Size, By Offering, 2020-2026 (USD Million)

8.6.3    Market Size, By Technology, 2020-2026 (USD Million)

8.6.4    Market Size, By End-User, 2020-2026 (USD Million)

8.6.5    Market Size, By Application, 2020-2026 (USD Million)

8.6.6    Saudi Arabia

8.6.6.1    Market Size, By Offering, 2020-2026 (USD Million)

8.6.6.2    Market Size, By Technology, 2020-2026 (USD Million)

8.6.6.3   Market Size, By End-User, 2020-2026 (USD Million)

8.6.6.4   Market Size, By Application, 2020-2026 (USD Million)

8.6.7    UAE

8.6.7.1    Market Size, By Offering, 2020-2026 (USD Million)

8.6.7.2    Market Size, By Technology, 2020-2026 (USD Million)

8.6.7.3    Market Size, By End-User, 2020-2026 (USD Million)

8.6.7.4    Market Size, By Application, 2020-2026 (USD Million)

8.6.8    South Africa

8.6.8.1    Market Size, By Offering, 2020-2026 (USD Million)

8.6.8.2    Market Size, By Technology, 2020-2026 (USD Million)

8.6.8.3    Market Size, By End-User, 2020-2026 (USD Million)

8.6.8.4    Market Size, By Application, 2020-2026 (USD Million)

Chapter 9   Company Landscape

9.1    Competitive Analysis, 2020

9.2    Samsung

9.2.1    Company Overview

9.2.2    Financial Analysis

9.2.3    Strategic Positioning

9.2.4    Info Graphic Analysis

9.3    Google

9.3.1    Company Overview

9.3.2    Financial Analysis

9.3.3    Strategic Positioning

9.3.4    Info Graphic Analysis

9.4    Intel

9.4.1    Company Overview

9.4.2    Financial Analysis

9.4.3    Strategic Positioning

9.4.4    Info Graphic Analysis

9.5    NVIDIA

9.5.1    Company Overview

9.5.2    Financial Analysis

9.5.3    Strategic Positioning

9.5.4    Info Graphic Analysis

9.6    Xilinx

9.6.1    Company Overview

9.6.2    Financial Analysis

9.6.3    Strategic Positioning

9.6.4    Info Graphic Analysis

9.7    Micron

9.7.1    Company Overview

9.7.2    Financial Analysis

9.7.3    Strategic Positioning

9.7.4    Info Graphic Analysis

9.8    IBM

9.8.1    Company Overview

9.8.2    Financial Analysis

9.8.3    Strategic Positioning

9.8.4    Info Graphic Analysis

9.9   Amazon

9.9.1    Company Overview

9.9.2    Financial Analysis

9.9.3    Strategic Positioning

9.9.4    Info Graphic Analysis

9.10    Microsoft

9.10.1    Company Overview

9.10.2    Financial Analysis

9.10.3    Strategic Positioning

9.10.4    Info Graphic Analysis

9.11    Other Companies

9.11.1    Company Overview

9.11.2    Financial Analysis

9.11.3    Strategic Positioning

9.11.4    Info Graphic Analysis

The Global Artificial Intelligence in Supply Chain Market has been studied from the year 2019 till 2026. However, the CAGR provided in the report is from the year 2021 to 2026. The research methodology involved three stages: Desk research, Primary research, and Analysis & Output from the entire research process.

The desk research involved a robust background study which meant referring to paid and unpaid databases to understand the market dynamics; mapping contracts from press releases; identifying the key players in the market, studying their product portfolio, competition level, annual reports/SEC filings & investor presentations; and learning the demand and supply-side analysis for the Artificial Intelligence in Supply Chain Market.

The primary research activity included telephonic conversations with more than 50 tier 1 industry consultants, distributors, and end-use product manufacturers.

Finally, based on the above thorough research process, an in-depth analysis was carried out considering the following aspects: market attractiveness, current & future market trends, market share analysis, SWOT analysis of the company and customer analytics.

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Frequently Asked Questions

The global artificial intelligence in supply chain market size is projected to grow from USD 0.73 billion in 2021 to USD 10.11 billion by 2026, at a CAGR of 45.5% during the forecast period.
Key and innovative vendors in the artificial intelligence in supply chain market include Samsung, Google, Intel, NVIDIA, Xilinx, Micron, IBM, Microsoft, and Amazon.
North America is estimated to hold the highest market share in the artificial intelligence in supply chain market.
Globally, Covid-19 impact on the future artificial intelligence in supply chain market will be quite significant for the manufacturers since demand has fluctuated owing to lockdown in key nations throughout the world. North America would be leading because this region is the hub for leading supply chain retailers. Subsequently, the Asia Pacific market will be growing the fastest because of the increasing adoption of technology and the emergence of big end-user industries.
The major driving factors for the artificial intelligence in supply chain market include the rapidly growing big data analysis field; flourishing business analytical industry; increasing demand for greater visibility and transparency in supply chain data and processes; rapidly rising adoption trend of AI to improve consumer services and satisfaction; growing impact of cloud-based supply chain solutions; increasing demand for intelligent business process automation and improving operational efficiency in the manufacturing industry.

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