Global AI in Logistics Market Overview:
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.
- Need for on-time deliveries and instant go to market timings
- Growing demand for convenience and safety
- Increased acceptance and implementation of autonomous vehicles
- Digitization of logistics leading to hyper customization
- Growing Demand for Customization
- Multiple collaborations across the supply chain
- Shortage of industry standards
- Growing amount of data in logistics
- Rising Compliance with privacy and data security regulations
- Increased automation will lead to job losses and can create social tensions
The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products, and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies.
Some of the key players profiled in the report 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) and Relex Solution (Finland). Additionally, following companies can also be profiled that are part of our coverage like Presenso (United States), Cainiao Network (China), Splice Machine (United States) and Logility, Inc. (United States). Analyst at AMA Research see United States Players to retain maximum share of Global AI in Logistics market by 2026. Considering Market by Industry Vertical, the sub-segment i.e. Food will boost the AI in Logistics market. Considering Market by Technology, the sub-segment i.e. Machine Learning (ML) will boost the AI in Logistics market. Considering Market by Mode of Transportation, the sub-segment i.e. Roadways will boost the AI in Logistics market.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be provided prior to purchase
The top-down and bottom-up approaches are used to estimate and validate the size of the Global AI in Logistics market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in AI in Logistics market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Providers of AI in Logistics, Potential Investors, Market Research Firms, Regulatory Bodies, End-Users and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.