Artificial Intelligence in Supply Chain Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis

MARKET INTRODUCTION

The artificial intelligence helps the businesses to manage all supply chain related functions efficiently and boost both top-line and bottom-line values. Therefore, the need to plan and control supply chain business, advanced technologies such as machine learning plays a significant role. The supply chain professionals can make optimal decisions based on proper analysis of big data sets.

MARKET DYNAMICS

Increase in the adoption rate of AI to enhance the customer satisfaction level and streamline all supply chain related business. Besides, the driving factors, artificial intelligence in supply chain market also presents several opportunities to the players, such as, increase in the urge to improvise operational efficiency and productivity in the manufacturing area of fields, rise in the cloud-based supply chain solutions are some of the factors which are anticipated to benefit the artificial intelligence in supply chain market in the coming period.

MARKET SCOPE

The "Global Artificial Intelligence in Supply Chain Market Analysis to 2031" is a specialized and in-depth study of the technology, media and telecommunication industry with a special focus on the global market trend analysis. The report aims to provide an overview of the Artificial Intelligence in Supply Chain market with detailed market segmentation by components, technology, application, and industry vertical, and geography. The global artificial intelligence in supply chain market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading artificial intelligence in supply chain market players and offers key trends and opportunities in the market.

MARKET SEGMENTATION

The global artificial intelligence in supply chain market is segmented on the basis of components, technology, application, and industry vertical. Based on components, the market is segmented into processors, memory, AI platforms, and services. On the basis of technology, the artificial intelligence in supply chain market is segmented into natural language processing (NLP), machine learning, and cognitive computing. The artificial intelligence in supply chain market on the basis of the application is classified into warehouse management, fleet management, freight brokerage, virtual assistant, and others. On the basis of industry vertical, the artificial intelligence in supply chain market is segmented into pharmaceutical, manufacturing, automotive, food & beverages, aerospace, and others.

REGIONAL FRAMEWORK

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global Artificial Intelligence in Supply Chain market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The Artificial Intelligence in Supply Chain market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

The report analyzes factors affecting the Artificial Intelligence in Supply Chain market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South & Central America after evaluating political, economic, social and technological factors affecting the Artificial Intelligence in Supply Chain in these regions.

MARKET PLAYERS

The reports cover key developments in the artificial intelligence in supply chain market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market payers from Artificial Intelligence in Supply Chain market are anticipated to lucrative growth opportunities in the future with the rising demand for artificial intelligence in supply chain in the global market. Below mentioned is the list of few companies engaged in the artificial intelligence in supply chain market.

The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the artificial intelligence in supply chain market. In addition, the report focuses on leading industry players with information such as company profiles, products, and services offered, financial information of the last 3 years, the key development in the past five years.

•  C.H. Robinson Worldwide, Inc.
•  Epicor Software Corporation
•  IBM Corporation
•  Logility.
•  Microsoft Corporation
•  NVIDIA Corporation
•  Oracle Corporation
•  SAP SE
•  Samsung
•  Xilinx Inc.

The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.

Artificial Intelligence in Supply Chain Report Scope