Artificial Intelligence in Supply Chain Market trend shows a rapid growth by 2027 - key player Epicor Software, IBM, Logility, Microsoft, NVIDIA, Oracle, SAP SE, Samsung, Xilinx

The "Global Artificial Intelligence in Supply Chain Market Analysis to 2027" 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.

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 2017 to 2027 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.

Key Benefits-
– To supply careful data concerning the main factors (drivers, restraints, opportunities, challenges, and trends) influencing the expansion of the Artificial Intelligence in Supply Chain Market
– To forecast the scale of the market segments with regard to four major regional segments, namely, North America, Europe, Asia Pacific, and also the remainder of the planet (Latin America and also the Near East & Africa).

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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

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.

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.

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Artificial Intelligence in Supply Chain Market to 2027 - Global Analysis and Forecasts by Components (Processors, Memory, AI Platforms, Services); Technology (Natural Language Processing (NLP), Machine Learning, Cognitive Computing); Application (Warehouse Management, Fleet Management, Freight Brokerage, Virtual Assistant, Others); Industry Vertical (Pharmaceutical, Manufacturing, Automotive, Food and Beverages, Aerospace, Others) and Geography

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.

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– Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the Artificial Intelligence in Supply Chain Market.
– Highlights key business priorities in order to assist companies to realign their business strategies.
– The key findings and recommendations highlight crucial progressive industry trends in the global Artificial Intelligence in Supply Chain Market, thereby allowing players across the value chain to develop effective long-term strategies.
– Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
– Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it.
– Enhance the decision-making process by understanding the strategies that underpin security interest with respect to client products, segmentation, pricing and distribution.

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