DUBLIN--(BUSINESS WIRE)--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 billion in 2018, at a CAGR of 45.55% during the forecast period.
Growth in this market is mainly driven by 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 satisfaction. The major restraint for the market is the limited number of the artificial intelligence technology experts.
In this report, the size of the artificial intelligence in supply chain market has been arrived at based on segments such as offerings, technology, application, end-user industry, and region. The artificial intelligence in supply chain market, by offering, is segmented into hardware, software, and services. The software segment is growing at a significant rate. The adoption of AI is increasing rapidly for various applications. Continuous developments have been witnessed in AI 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.
Depending on the technology, artificial intelligence in supply chain can be segmented into machine learning (ML), natural language processing (NLP), and context-aware computing, and computer vision. The market for computer vision is expected to grow at a higher rate. The growing adoption of computer vision for autonomous or semi-autonomous applications in various industries, such as manufacturing and automotive, is propelling the growth of this technology in the artificial intelligence in supply chain market.
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
11 Competitive Landscape
- Amazon
- C. H.Robinson
- Cainiao Network (Alibaba)
- Clearmetal
- Deutsche Post AG DHL
- E2open
- Fedex
- Fraight AI
- IBM
- Intel
- Llamasoft, Inc.
- Logility
- Micron Technology
- Microsoft
- Nvidia
- Oracle
- Presenso
- Relex Solution
- SAP
- Samsung Electronics
- Splice Machine
- Teknowlogi
- Xilinx
For more information about this report visit https://www.researchandmarkets.com/research/f9vvz6/global_artificial?w=4
