Dublin, Feb. 18, 2019 (GLOBE NEWSWIRE) -- The "Artificial Intelligence in Supply Chain Market by Offering, Technology, Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Freight Brokerage), End-User Industry, and Geography - Global Forecast to 2025" report has been added to ResearchAndMarkets.com's offering.
The artificial intelligence in supply chain market is expected to reach USD 10,110.2 million by 2025 from USD 730.6 million in 2018, at a CAGR of 45.55%.
Growth in this market can largely be attributed to factors such as growing big data, demand for greater visibility and transparency into supply chain data and processes, and adoption of AI for improving consumer services and their satisfaction. On the other hand, the limited number of artificial intelligence technology experts is expected to restrict adoption, which in turn may limit market growth to a certain extent.
"The market for software offerings is expected to hold a largest share during the forecast period."
The artificial intelligence in supply chain market for software offerings is expected to hold a larger share. The continuous developments have been witnessed in AI software and related software development kits. Also, AI software is capable of behaving intelligently. Creating intelligent software involves simulating a number of capabilities, which include reasoning, learning, problem-solving, perception, and knowledge representation.
"The market for computer vision technology is expected to register the highest growth during the forecast period."
The market for computer vision technology is expected to grow at the highest CAGR during the forecast period. The growing adoption of computer vision for autonomous or semiautonomous applications in various industries, such as manufacturing and automotive, is propelling the growth of this technology in the AI market.
"North America is expected to dominate the artificial intelligence in supply chain market during the forecast period."
North America is notable for its high adoption of artificial intelligence. The increasing demand for intelligent virtual assistants acts as a driving force for the growth of the artificial intelligence in supply chain market in the region. The market in North America is also characterized by high infrastructure costs and strict policies and regulatory frameworks.
Companies such as IBM (US), Google (US), Microsoft (US), NVIDIA (US), Intel (US), and Amazon (US) are complementing the growth of the market in this region.
Key Topics Covered:
1 Introduction
2 Research Methodology
3 Executive Summary
4 Premium Insights
4.1 Attractive Opportunities in the Artificial Intelligence in Supply Chain Market
4.2 Artificial Intelligence in Supply Chain Market, By Processor
4.3 Artificial Intelligence in Supply Chain Market for Fleet Management Application, By Technology
4.4 Artificial Intelligence in Supply Chain Market in APAC, By Application
4.5 Artificial Intelligence in Supply Chain Market, By Country
5 Market Overview
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Growth of Big Data
5.2.1.2 Demand for Greater Visibility and Transparency in Supply Chain Data and Processes
5.2.1.3 Adoption of AI to Improve Consumer Services and Satisfaction
5.2.2 Restraints
5.2.2.1 Limited Number of AI Experts
5.2.3 Opportunities
5.2.3.1 Growing Impact of Cloud-Based Supply Chain Solutions
5.2.3.2 Increasing Demand for Intelligent Business Process and Automation
5.2.3.3 Improving Operational Efficiency in Manufacturing Industry
5.2.4 Challenges
5.2.4.1 Difficulties in Data Integration From Multiple Sources
5.2.4.2 Concerns Regarding Data Privacy
5.3 Case Studies
5.3.1 A Leading Luxury Vehicles Manufacturer Employed IBM Watson to Improve Critical Parts Management
5.3.2 Splice Machine Partners With Intrigo to Provide Order Promising and Scheduling Solution for Infinera
5.3.3 UPS Chatbot Now Available VIA the Google Assistant
5.3.4 Panalpina Engaged With Clearmetal for Predictive Logistics
5.3.5 Cummins Using Llamasoft Demand Guru for Demand Modelling
6 Artificial Intelligence in Supply Chain Market, By Offering
6.1 Introduction
6.2 Hardware
6.2.1 Processors
6.2.1.1 MPU
6.2.1.2 GPU
6.2.1.3 FPGA
6.2.1.4 ASIC
6.2.2 Memory
6.2.3 Network
6.3 Software
6.3.1 AI Platforms
6.3.1.1 Application Program Interface (API)
6.3.1.2 Machine Learning Framework
6.3.2 AI Solutions
6.4 Services
6.4.1 Deployment & Integration
6.4.2 Support & Maintenance
7 Artificial Intelligence in Supply Chain Market, By Technology
7.1 Introduction
7.2 Machine Learning
7.2.1 Supervised Learning
7.2.2 Unsupervised Learning
7.2.3 Reinforcement Learning
7.2.4 Others
7.3 Natural Language Processing (NLP)
7.4 Context-Aware Computing
7.5 Computer Vision
8 Artificial Intelligence in Supply Chain Market, By Application
8.1 Introduction
8.2 Fleet Management
8.3 Supply Chain Planning
8.4 Warehouse Management
8.5 Virtual Assistant
8.6 Risk Management
8.7 Freight Brokerage
8.8 Others
9 Artificial Intelligence in Supply Chain Market, By Industry
9.1 Introduction
9.2 Automotive
9.3 Aerospace
9.4 Manufacturing
9.5 Retail
9.6 Healthcare
9.7 Consumer-Packaged Goods
9.8 Food & Beverages
9.9 Others
10 Geographic Analysis
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 France
10.3.4 Italy
10.3.5 Spain
10.3.6 Rest of Europe
10.4 APAC
10.4.1 China
10.4.2 Japan
10.4.3 South Korea
10.4.4 India
10.4.5 Rest of APAC
10.5 Rest of the World
10.5.1 Middle East and Africa
10.5.2 South America
11 Competitive Landscape
11.1 Introduction
11.2 Market Ranking Analysis
11.3 Competitive Situations and Trends
11.3.1 Product Launches (2016-2018)
11.3.2 Agreements, Partnerships, Collaborations, & Contracts (2017-2018)
11.3.3 Mergers & Acquisitions (2016-2018)
11.3.4 Expansion (2016-2018)
12 Company Profiles
12.1 Key Players
12.1.1 Nvidia
12.1.2 IBM
12.1.3 Intel
12.1.4 Xilinx
12.1.5 Samsung Electronics
12.1.6 Micron Technology
12.1.7 Microsoft
12.1.8 Amazon
12.1.9 SAP
12.1.10 Oracle
12.1.11 Logility
12.1.12 Llamasoft, Inc.
12.1.13 Clearmetal
12.1.14 Splice Machine
12.1.15 Cainiao Network (Alibaba)
12.1.16 Fedex
12.1.17 Deutsche Post AG DHL
12.2 Other Companies
12.2.1 Fraight AI
12.2.2 C. H.Robinson
12.2.3 E2open
12.2.4 Relex Solution
12.2.5 Teknowlogi
12.2.6 Presenso
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