In this Artificial Intelligence in Supply Chain report, a market study and overview is carried out by considering market drivers, market restraints, opportunities and challenges for a particular business. This report acts as a perfect window to the ICT industry which explains what market definition, classifications, applications, engagements and market trends are. Leading Players of Global Artificial Intelligence in Supply Chain Market are 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, 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.
This Artificial Intelligence in Supply Chain market research report intensely analyses the potential of the market with respect to current scenario and the future prospects by considering several industry aspects of ICT industry. The report also recognizes and analyses the rising trends along with major drivers, challenges and opportunities in the market. This report provides major statistics on the market status of global and regional manufacturers and is a helpful source of assistance and direction for companies and individuals interested in the ICT industry. The company profiles of all the chief and dominating market players and brands who are taking steps such as product launches, joint ventures, mergers and acquisitions are mentioned in the report.
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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Recent Industry Developments
The artificial intelligence in supply chain is a field holds secure development prospects, inferable from which, the key players are concentrating on building up an incorporated arrangement including equipment and programming. Moreover, to grow their client achieve, a few merchants have teamed up with wholesalers and end clients for item appropriation. The expanding conspicuousness of parallel preparing applications is prompting expanded selection of the innovation in logical teaches, for example, counterfeit consciousness and information science. Associations are using counterfeit measures to extricate significant insights of information for giving creative items and enhancing client encounter; in this manner, expanding income openings.
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.
Artificial Intelligence (AI) in supply chain is a creation of wise and smart machines that work, respond and react like people. It is utilized to enhance the proficiency of day by day undertakings. Advancing innovation, selection of robots and drones, driverless tractors, crop health checking, and automated water system framework are a part of the applications that credited to the high development of the global artificial intelligence in supply chain AIS showcase. Highly proficient yield examination is offered by drones and software programming advancements, for example, radars and GPS framework, empower to reduce weight on existing stressed workforce. In addition, remote detecting systems are also used to view the quality and yield creating capacity of a farming area.
Key Highlights of the Artificial Intelligence in Supply Chain Market Report:
Get enlightened information available on the Artificial Intelligence in Supply Chain market worldwide.
Identify growth in various segments and investment opportunities. Benchmark fulfillment adjacent the key adversary.
The main criterion related to Artificial Intelligence in Supply Chain industry area including the overall structure of the product, numbers of applications, price, demand, and supply are enfolded in this report.
The research of emerging Artificial Intelligence in Supply Chain market section and extant industry segments will aid the investors or novice in formulating and developing business strategies.
Facilitates decision making in view of noteworthy and gauging information also the drivers and limitations available of the market
Global Artificial Intelligence in Supply Chain Market share assessments for the regional and country level segments.
Based on application
- Fleet management,
- Supply chain planning,
- Warehouse management,
- Virtual assistant,
- Risk management,
- Freight brokerage and others
Based on offering
- Software and
- 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).
Based on technology
- Machine learning,
- Natural language processing (NLP),
- Context-aware computing and
- Computer vision
Based on industry
- Consumer-packaged goods,
- Food & beverages and others
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.
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Major Highlights of TOC:
Chapter One: Artificial Intelligence in Supply Chain Market Industry Overview
1.1 Artificial Intelligence in Supply Chain Industry
1.1.2 Products of Major Companies
1.2 Artificial Intelligence in Supply Chain Market Segment
1.2.1 Industry Chain
1.2.2 Consumer Distribution
1.3 Price & Cost Overview
Chapter Two: Artificial Intelligence in Supply Chain Market Demand
2.1 Segment Overview
2.1.1 APPLICATION 1
2.1.2 APPLICATION 2
2.2 Artificial Intelligence in Supply Chain Market Size by Demand
2.3 Artificial Intelligence in Supply Chain Market Forecast by Demand
Chapter Three: Artificial Intelligence in Supply Chain Market by Type
3.1 By Type
3.1.1 TYPE 1
3.1.2 TYPE 2
3.2 Artificial Intelligence in Supply Chain Market Size by Type
3.3 Artificial Intelligence in Supply Chain Market Forecast by Type
Chapter Four: Major Region of Artificial Intelligence in Supply Chain Market
4.1 Artificial Intelligence in Supply Chain Sales
4.2 Artificial Intelligence in Supply Chain Revenue & market share
Chapter Five: Major Companies List
Chapter Six: Conclusion
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