The logistics vertical is undergoing a fundamental transformation with the increase in the amount of data and the number of devices utilized, reduction in costs to maintain the competitiveness, and urge to maintain the required stock levels, (staged and in-transit) to ensure on-time delivery and shortages. All this requires some level of automation in the supply chain to allow for timely decision making.
Artificial Intelligence is in a nascent stage in logistics but is expected to grow at a rapid pace. It is expected to remold the logistics industry with a high level of automation in manufacturing, logistics, warehousing, and last mile delivery. Machine and human collaboration will enable smart order picking in logistics and smart glasses will enable smart hands-free operations. Automated vehicles and drones are expected to change the paradigm of the logistics industry.
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Market Analysis:
The companies are increasingly testing Artificial Intelligence in Logistics to improve on the last mile delivery, reduce the time to go to a market and provide for the required customization to customers. As per Infoholic Research, the Artificial Intelligence market in logistics is predicted to grow at a CAGR of 42.9% over 2017-2023 to reach $6.5 billion by 2023.
The market is analyzed by application, vertical, region, and mode of transport.
Market Segmentation Analysis:
The market has been segmented on the basis of applications in logistics including automation of processes, planning and forecasting, machine and human collaboration, self-driven forklifts, self-driven vehicles, etc. Self-driven vehicles and self-driven forklifts occupy the maximum share at present and autonomous vehicles are expected to gain maximum traction in the future.
On the basis of modes of transport, roadways are expected to embrace AI the maximum, followed by railways, seaways, and airways.
Countries and Vertical Analysis:
The counties covered in the report are US, Canada, UK, Germany, France, Nordics, Benelux, China, and India. Among these US and China are expected to grow at a higher CAGR through the forecast period 2017-2023. The popular use case/verticals for the AI in logistics are food, pharm, retail, manufacturing, automotive, and others. Several logistics players are testing these technologies to gain an upper edge in the market and improve on the last mile delivery.
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Table of Contents
Industry Outlook 10
1.1 Industry Overview 10
1.2 Industry Trends 10
2 Report Outline 12
2.1 Report Scope 12
2.2 Report Summary 13
2.3 Research Methodology 14
2.4 Report Assumptions 14
3 Market Snapshot 15
3.1 Total Addressable Market (TAM) 15
3.2 Segmented Addressable Market (SAM) 15
3.3 Related Markets 15
4 Market Outlook 16
4.1 Overview 16
4.2 Regulatory Bodies & Standards 16
4.3 Government Spending and Initiatives 16
4.4 Porter 5 (Five) Forces 17

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