Artficial Intelligence in Logistics Market to reach $6.5 billion by 2023 - Amazon, Google, IBM, Microsoft

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 remould the logistics industry with 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.

Market Analysis:
The companies are increasingly testing Artficial Intelligence in Logistics to improve on the last mile delivery, reduce the time to go to market, and provide for the required customization to customers. As per Publisher, 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.

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The market is analysed 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 expcted to gain maximum traction in future.

On the baisis of modes of transport, roadways is expected to embrace AI the maxium, followed by railways, seaways, and airways.

Countries and Vertical Analysis:
The counties covered in report are US, Canada, UK, Germany, France, Nordics, Benelux, China, 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, pharma, retail, manufacturing, automotive, and others. Several logistics palyers are testing these technologies to gain an upper edge in the market and improve on the last mile delivery.

Benefits and Vendors
The report contains an in-depth analysis of vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views; and competitive landscape. Companies analysed in the report are Amazon, Google, IBM, and Microsoft. Apart from that several start ups that are focussing specifically on AI in logistics have been analysed.

The study offers a comprehensive analysis of the "AI in Logistics". Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiatives, and technologies related to the market. In addition, it helps the venture capitalist in understanding the companies better and take informed decisions.

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Table of Contents:

1 Industry Outlook 10

2 Report Outline 12

3 Market Snapshot 15

4 Market Outlook 16

5 Market Characteristics 18

6 Trends, Roadmap, and Projects 23

7 AI in Logistics Market by Application: Market Size & Analysis 25

8 Logistics by Verticals: Market Size & Analysis 30

9 Geography: Market Size & Analysis 35

10 Mode of Transport: Market Size & Analysis 47

11 Vendor Profile 50
11.1 IBM 50
11.1.1 Overview 50
11.1.2 Business Unit 51
11.1.3 Business Segments 52
11.1.4 Financial Performance 52
11.1.5 Geographic Revenue 53
11.1.6 IBM and AI in Logistics Market 53
11.1.7 SWOT Analysis 54
11.1.8 Business Strategies 54
11.2 Google 54
11.2.1 Overview 54
11.2.2 Business Unit 56
11.2.3 Business Segments 56
11.2.4 Financial Performance 56
11.2.5 Geographic Revenue 57
11.2.6 Google and AI in Logistics 57
11.2.7 SWOT Analysis 58
11.2.8 Business Strategies 58
11.3 Microsoft 58
11.3.1 Overview 58
11.3.2 Business Unit 60
11.3.3 Business Segments 60
11.3.4 Financial Performance 60
11.3.5 Geographic Revenue 61
11.3.6 Microsoft and AI in Logistics 61
11.3.7 SWOT Analysis 62
11.3.8 Business Strategies 62
11.4 Amazon 62
11.4.1 Overview 62
11.4.2 Business Units 63
11.4.3 Financial Performance 64
11.4.4 Geographic Revenue 64
11.4.5 Amazon and AI in Logistics 64
11.4.6 SWOT Analysis 65
11.4.7 Business Strategies 65

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