Artificial Intelligence in Logistics Market Trends, Share and Size, Expected CAGR, Top Manufacturers and Consumer Analysis across the Region and Globe, Opportunities and Growth till 2030

In a recent published report, Kenneth Research has updated the market report for Artficial Intelligence in Logistics Marke for 2021 till 2030. Report further now discusses; the various strategies to be adopted or being adopted by the business players across the globe at various levels in the value chain. In the view of the global economic slowdown, we further estimated that China, India, Japan and South Korea to recover fastest amongst all the countries in the Asian market. Germany, France, Italy, Spain to take the worst hit and this hit is expected to be regain 25% by the end of 2021- Positive Growth in the economic demand and supply.

U.S. Market recovers fast; In a release on May 4th 2021, the U.S. Bureau and Economic Analsysis and U.S. Census Bureau mentions the recovery in the U.S. International trade in March 2021. Exports in the country reached $200 billion, up by $12.4  billion in Feb 2021. Following the continuous incremental trend, imports tallied at $274.5 billion, picked up by $16.4 billion in Feb 2021. However, as COVID19 still haunts the economies across the globe, year-over-year (y-o-y) avergae exports in the U.S. declined by $7.0 billion from March 2020 till March 2021 whilest imports increased by $20.7 billion during the same time. This definitely shows how the market is trying to recover back and this will have a direct impact on the Healthcare/ICT/Chemical industries, creating a huge demand for Artficial Intelligence in Logistics Marke products.

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According to the statistics by the International Environmental Agency (IEA), the global stock of electric passenger cars passed 5 million in the year 2018, which was an increase by 63% from the year 2017.

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 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 Artificial 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 Kenneth 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 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 expected to gain maximum traction in future.

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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 players 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 focusing 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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1 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
5 Market Characteristics 18
5.1 Market Segmentation 18
5.2 Market Dynamics 18
5.2.1 Drivers 19
5.2.1.1 Need for on-time deliveries and instant go to market timings 19
5.2.1.2 Growing demand for convenience and safety 20
5.2.1.3 Increased acceptance and implementation of autonomous vehicles 20
5.2.1.4 Digitization of logistics leading to hyper customization 20
5.2.2 Restraints 20
5.2.2.1 Compliance with privacy and data security regulations 20
5.2.2.2 Increased automation will lead to job losses and can create social tensions 20
5.2.2.3 Shortage of industry standards 21
5.2.3 Opportunities 21
5.2.3.1 Growing amount of data in logistics 21
5.2.3.2 5.2.3.2 Growth of assisted driving 21
5.3 DRO – Impact Analysis 22
6 Trends, Roadmap, and Projects 23
6.1 Market Trends & Impact 23
6.1.1 Cloud Hosted Intelligence 23
6.1.2 Growing Demand for Customization 23
6.1.3 Multiple collaborations across the supply chain 23
6.2 Technology Roadmap 24
7 AI in Logistics Market by Application: Market Size & Analysis 25
7.1 Overview 25
7.2 Automation of Ordering and Processing 25
7.3 Planning and Forecasting 26
7.4 Machine and Human Collaboration 26
7.5 Self-driving Vehicles 27
7.6 Self-driving Forklifts 28
7.7 Others 28
8 Logistics by Verticals: Market Size & Analysis 30
8.1 Overview 30
8.2 Food 30
8.3 Pharma 31
8.4 Retail 32
8.5 Manufacturing 32
8.6 Automotive 33
8.7 Others 34

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