Artificial Intelligence (AI) in Supply Chain Market to reach $21.8 billion by 2027

Press Release

According to this latest publication from Meticulous Research®, the global artificial intelligence in the supply chain market is expected to grow at a CAGR of 39.4% from 2019 to reach $21.8 billion by 2027. Substantial growth in the global artificial intelligence in supply chain market is mainly attributing to the rising awareness of advanced technologies such as artificial intelligence and big data & analytics; consistent technological advancements in supply chain industry; and implementation of computer vision technology in both autonomous & semi-autonomous applications.

Based on end-user, consumer-packaged-goods (CPG) industry is expected to register the fastest growth throughout the forecast period. The growth of the CPG segment is attributed to the consistent proliferation of the e-commerce sector across emerging economies. The use of AI in supply chain can offer profitable drop-shipping features such as providing product tracking, inventory management, and warehouse management.

Based on geography, the global artificial intelligence in the supply chain market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. In 2018, North America dominated the AI market for supply chain industry. This is majorly attributed to the higher awareness and adoption of AI technologies among different industries in the region and increasing dedication of business enterprises towards enhancing the applications & solutions in their existing supply chain systems. However, Asia-Pacific is slated to grow at highest CAGR during the forecasted period. The growth is majorly attributed to the growing demand for AI-based business solutions for automation across several operational areas including supply chain management. Furthermore, increasing adoption of modern technologies including machine learning and natural language processing, government initiatives towards adoption of advanced technologies, and rapid digitalization are also contributing to the fastest growth in the Asia Pacific region.

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Table of Contents::

1. Introduction 
1.1 Market definition
1.2 Scope of study
1.3 Market Ecosystem
1.4 Currency & Limitation
1.4.1 Currency
1.4.2 Limitations
1.5 Key Stake Holders

2. Research Methodology
2.1 Research Approach
2.2 Data Collection and Validation
2.1.1 Primary Research
2.1.2 Secondary Research
2.3 Market Assessment
2.3.1 Market Size Estimation Bottom-up Approach Top-Down Approach Growth Forecast
2.3.2 Market Share Analysis
2.4 Assumptions for the Study

3. Executive Summary
3.1 Market Overview
3.2  Market Analysis, by Component
3.3 Market Analysis, by Technology
3.4 Market Analysis, by Application
3.5 Market Analysis, by End User
3.6 Market Analysis, by Geography
3.7 Competitive Analysis

4. Market Insights
4.1 Introduction
4.2 Market Dynamics
4.2.1 Drivers Rising awareness of artificial intelligence & big data & analytics Widening implementation of computer vision in both autonomous & semiautonomous applications
4.2.2 Restraints High procurement and operating cost Lack of infrastructure
4.2.3 Opportunities Growing demand for AI-based business automation and solutions Evolving supply chain complementing growing industrial automation
4.2.4 Challenges Data integration from multiple resources Concerns over data privacy
4.2.5 Trends Rising adoption of 5G technology Rising demand for cloud-based supply chain solutions


Key Players:

The major players operating in global artificial intelligence in supply chain market are Intel Corporation (U.S.),, Inc. (U.S.), Google LLC (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), IBM Corporation (U.S.), Samsung (South Korea), LLamasoft Inc. (U.S.), SAP (Germany), General Electric (U.S.), Deutsche Post AG DHL (Germany), Xilinx (U.S.), Micron Technology, Inc. (U.S.), FedEx (U.S.), and ClearMetal, Inc. (U.S.), among others.

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