AI in Logistics Market Growing Popularity and Emerging Trends in the Industry Analysis by Key Players Amazon, ClearMetal, Deutsche Post AG DHL, FedEx

Latest added AI in Logistics Market research study by AMA Research offers detailed outlook and elaborates market review till 2030. The market Study is segmented by key regions that are accelerating the marketization. At present, the market players are strategizing and overcoming challenges of current scenario; some of the key players in the study are Amazon (United States), ClearMetal Inc. (United States), Deutsche Post AG DHL (Germany), FedEx (United States), General Electric (United States), Google LLC (United States), IBM Corporation (United States), Intel Corporation (United States), LLamasoft Inc. (United States), Micron Technology (United States), Microsoft Corporation (United States), NVIDIA Corporation (United States), Oracle Corporation (United States), SAP (Germany), Samsung (South Korea), Xilinx (United States), Fraight AI (United States), C.H. Robinson (United States), E2open (United States), Relex Solution (Finland) etc.

The study explored is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.

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AI in Logistics Market Definition:
The logistics industry is undergoing a fundamental shift as the volume of data and the number of devices used to increase, costs are reduced to maintain competitiveness, and the necessary inventory levels (staggered and on-the-go) must be maintained to ensure timely delivery and bottlenecks. Logistics includes purchasing and supply management, demand planning, and forecasting, transportation and network design, picking issues, and customer relationship management. Maintenance is simplified by automated processing, as regular repairs and maintenance are required to maintain the devices. Artificial intelligence collects information via sensors, which is combined with maintenance data. The best time to repair equipment in an organization is analyzed by the system in what is known as predictive maintenance. Inventory can be improved by reducing redundancy using intelligent storage processing and providing advanced technologies. In addition, artificial intelligence in supply management offers the possibility of tracking and maintaining the database of suppliers and shipping. All of this requires a certain degree of automation in the supply chain in order to be able to make timely decisions. Artificial intelligence is still in its early stages in logistics but is expected to grow rapidly. It is expected that the logistics industry will be reshaped with a high level of automation in the areas of manufacturing, logistics, storage, and delivery on the last mile. Machine and human collaboration enable intelligent order picking in logistics, and intelligent glasses enable intelligent hands-free functionality. Automated vehicles and drones are expected to change the paradigm of the logistics industry.

The latest edition of this report you will be entitled to receive additional chapter / commentary on latest scenario, economic slowdown and COVID-19 impact on overall industry. Further it will also provide qualitative information about when industry could come back on track and what possible measures industry players are taking to deal with current situation. Each of the segment analysis table for forecast period also high % impact on growth.

This research is categorized differently considering the various aspects of this market. It also evaluates the upcoming situation by considering project pipelines of company, long term agreements to derive growth estimates. The forecast is analyzed based on the volume and revenue of this market. The tools used for analyzing the Global AI in Logistics Market research report include SWOT analysis.

Influencing Trend:
• Digitization of logistics leading to hyper customization
• Growing Demand for Customization
• Multiple collaborations across the supply chain
Challenges:
• Increased automation will lead to job losses and can create social tensions
Opportunities:
• Growing amount of data in logistics
• Rising Compliance with privacy and data security regulations
Market Growth Drivers:
• Need for on-time deliveries and instant go to market timings
• Growing demand for convenience and safety
• Increased acceptance and implementation of autonomous vehicles

The Global AI in Logistics segments and Market Data Break Down are illuminated below:
by Application (Automation of Ordering and Processing, Planning and Forecasting, Machine and Human Collaboration, Self-driving Vehicles, Self-driving Forklifts, Others), Industry Vertical (Food, Pharma, Retail, Manufacturing, Automotive, Others), Technology (Machine Learning (ML), Natural Language Processing (NLP), Context-Aware Computing, Computer Vision), Mode of Transportation (Roadways, Railways, Seaways, Airways)

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The regional analysis of Global AI in Logistics Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Whereas, owing to rising no. of research activities in countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate the forecast period 2024-2030.

Highlights of the report:
• A complete backdrop analysis, which includes an assessment of the parent market
• Important changes in market dynamics
• Market segmentation up to the second or third level
• Historical, current, and projected size of the market from the standpoint of both value and volume
• Reporting and evaluation of recent industry developments
• Market shares and strategies of key players
• Emerging niche segments and regional markets
• An objective assessment of the trajectory of the market
• Recommendations to companies for strengthening their foothold in the market

Strategic Points Covered in Table of Content of Global AI in Logistics Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI in Logistics market
Chapter 2: Exclusive Summary - the basic information of the AI in Logistics Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the AI in Logistics
Chapter 4: Presenting the AI in Logistics Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region/Country 2024-2030
Chapter 6: Evaluating the leading manufacturers of the AI in Logistics market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2024-2030)
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, AI in Logistics Market is a valuable source of guidance for individuals and companies.

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Key questions answered
• Who are the Leading key players and what are their Key Business plans in the Global AI in Logistics market?
• What are the key concerns of the five forces analysis of the Global AI in Logistics market?
• What are different prospects and threats faced by the dealers in the Global AI in Logistics market?
• What are the strengths and weaknesses of the key vendors?

Definitively, this report will give you an unmistakable perspective on every single reality of the market without a need to allude to some other research report or an information source. Our report will give all of you the realities about the past, present, and eventual fate of the concerned Market.

Thanks for reading this article, we can also provide customized report as per company's specific needs. You can also get separate chapter wise or region wise report versions including North America, Europe or Asia.

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