Tokyo, Japan -- (SBWIRE) -- 02/21/2019 -- Global Artificial Intelligence in Supply Chain Market to grow at a CAGR of +44% during forecast period 2019-2026. The main driver of the market is the increase in large data, the demand for visibility and transparency of supply chain data and processes, and the adoption of AI to improve consumer service and satisfaction. The main constraint on the market is that there are a limited number of artificial intelligence experts.

The study report titled Global Artificial Intelligence in Supply Chain Market throws light on the crucial trends and dynamics impacting the development of the market, including the restraints, drivers, and opportunities. A number of analysis tools such as Porter's five forces analysis and SWOT analysis have been employed to provide an accurate understanding of this market. The major strategies adopted by the established players for a better penetration in the global Artificial Intelligence in Supply Chain market also form a key section of this study. These strategies can be employed by the upcoming vendors for a better penetration in the market.

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Key Players:
Intel (US), NVIDIA (US), Xilinx (US), Samsung (South Korea), Micron(US), IBM (US), Google (US), Microsoft (US), and Amazon (US)

How can AI be applied within Supply Chain Management Activities?
Machine Learning for Supply Chain Planning
Chatbots for Operational Procurement
Machine Learning for Warehouse Management
Machine Learning and Predictive Analytics for Supplier Selection and Supplier Relationship Management
Natural Language Processing for Data Cleansing and Building Data Robustness

Leading players in the Global Artificial Intelligence in Supply Chain Market are profiled in the report to understand their role in the market and their upcoming strategies. The manufacturing base of each key player and their share in the market for each product and application segment of the gem quality diamonds market have been described in the report. Various marketing channels and strategies likely to Artificial Intelligence in Supply Chain market in the 2019-2026 period have been described in the report to help readers formulate winning strategies.

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The report studies the global Artificial Intelligence in Supply Chain market, analyzes and researches the development status and estimate in North America, Asia Pacific, Europe, the Middle East & Africa and Latin America. The key players some of the time confronts major - difficulties and limitation in the market, which is expected as the hindering factor in the growth of the global market.

The report further analyzes the competitive landscape in this market by examining the profiles of the established market players to gain an insight into the current market hierarchy. The prevailing and the imminent organizations in the worldwide market for Artificial Intelligence in Supply Chain has also been deliberated in this research report in specifics, making it a valuable resource for supervision for the stakeholders operating in this market.

Table of Contents:
Global Artificial Intelligence in Supply Chain Market Research Report
Artificial Intelligence in Supply Chain Market Overview
Global Economic Impact
Competition by Manufacturers
Production, Revenue (Value) by Region
Supply (Production), Consumption, Export, Import by Regions
Production, Revenue (Value), Price Trend by Type
Analysis by Application
Manufacturing Cost Analysis
Industrial Chain, Sourcing Strategy and Downstream Buyers
Marketing Strategy Analysis, Distributors/Traders
Market Effect Factors Analysis
Market Forecast
Appendix

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