Global Artificial Intelligence in Supply Chain Market In-Depth Insight Of Sales Analysis, Focuses On Top Companies like NVIDIA, IBM, Intel Corporation, Xilinx, Samsung Electronics, Samsung Electronics America, Microsoft, Amazon, SAP, Oracle, Logility

Artificial Intelligence in Supply Chain survey provides key information about the industry, including very helpful and important facts and figures, industry expert opinions, and the keen understanding on latest Business developments across the globe. This market Report covers strategic profiling and in-depth survey of industry top key players in the market, comprehensively analyzing their core competencies and analyzes innovative business strategies. Our comprehensive market outlook is expected to support several clients and businesses to make better market decisions and align their market strategies with the changing market dynamics. The Artificial Intelligence in Supply Chain market study also analyzes the market status, market share, growth rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.

The Global Artificial Intelligence in Supply Chain Market is expected to reach USD 10,787.2 million by 2025 from USD 21.21 million in 2017 and is projected to grow at a CAGR of 8.1% in the forecast period of 2018 to 2025.

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Well known players of Global Artificial Intelligence in Supply Chain Market cited in the report

• NVIDIA,
• IBM,
• Intel Corporation,
• Xilinx,
• Samsung Electronics,
• Samsung Electronics America,
• Micron Technology,
• Microsoft,
• Amazon,
• SAP,
• Oracle,
• Logility,
• LLamasoft, Inc.,
• ClearMetal,
• Splice Machine,
• Cainiao Networks,
• FedEx,
• DHL,
• C.H. Robinson,
• E2open,
• RELEX Solutions,
• Teknowlogi,
• Presenso,
• Fraight AI,
• FedEx Supply Chain,
• Deutsche Post,
• Alibaba Group,
• SoftBank Group,
• Baidu, Inc.,
• Salesforce,
• Interactions LLC,
• Lexalytics, Inc.,
• FedEx Express Canada,
• Next IT,
• RetailNext,
• Sentient Technologies,
• ViSenze - AI for Visual Commerce,
• Amazon Web Services and others.

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Market Segmentation

Based on application

• Fleet management,
• Supply chain planning,
• Warehouse management,
• Virtual assistant,
• Risk management,
• Freight brokerage and others

Based on technology

• Machine learning,
• Natural language processing (NLP),
• Context-aware computing and
• Computer vision

Based on industry

• Automotive,
• Aerospace,
• Manufacturing,
• Retail,
• Healthcare,
• Consumer-packaged goods,
• Food & beverages and others

Based on offering

• Hardware,
• Software and
• Services

By Geography

• Asia Pacific (China, South Korea, Japan, India, Australia, Singapore, Thailand, Indonesia, Malaysia, Philippines, Rest of Asia-Pacific).

• North America (US, Canada, Mexico).

• Europe (Russia, Turkey, Belgium, Netherlands, Switzerland, Spain, France, Germany, Italy, UK, Rest of Europe.

• South America (Brazil, Argentina, Rest of South America).

• Middle East and Africa (South Africa, Egypt, Saudi Arabia, United Arab Emirates, Israel, Rest of Middle East and Africa).

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Competitive Analysis

The global artificial intelligence in supply chain market is fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market in order to sustain in long run. The report includes market shares of artificial intelligence in supply chain market for global, Europe, North America, Asia Pacific and South America.

In 2016 artificial intelligence and machine learning emerging as the next big technology has seen a race for artificial intelligence, with a number of acquisitions and large technology vendors such as IBM, Google and Amazon are launching a new artificial intelligence-enabled product.

In 2017, Teknowlogi Launches a first cloud-based solution built on artificial intelligence for the logistics industry. It is a next-generation platform category, representing a much-needed advancement for traditional industry logistics system.

Market Drivers and Restraints:

• Growth of big data
• Demand for greater visibility and transparency in supply chain data and processes
• Adoption of AI to improve consumer services and satisfaction.
• High Information and data storage capacity
• High computing power and parallel processing capabilities
• Lack of people power
• Data inefficiency in building proper AI algorithms.

Research objectives

• To perceive the most influencing pivoting and hindering forces in the Artificial Intelligence in Supply Chain Market and its footprint in the international market.

• Learn about the market policies that are being endorsed by ruling respective organizations.

• To gain a perceptive survey of the market and have an extensive interpretation of the Artificial Intelligence in Supply Chain Market and its materialistic landscape.

• To understand the structure of Artificial Intelligence in Supply Chain market by identifying its various subsegments.

• Focuses on the key global Artificial Intelligence in Supply Chain players, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.

• To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

• To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).

• To project the consumption of Artificial Intelligence in Supply Chain submarkets, with respect to key regions (along with their respective key countries).
• To strategically profile the key players and comprehensively analyze their growth strategies

• To analyze the Artificial Intelligence in Supply Chain with respect to individual growth trends, future prospects, and their contribution to the total market.

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