Generative AI in Logistics Market (By Component: Software, Solution; By Deployment: Cloud Based, On-premise; By End-User: Healthcare, Aerospace, Telecommunication, Banking and Finance, Technology, Retail) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032


The global generative ai in logistics market size was estimated at USD 491.59 million in 2022 and it is expected to hit around USD 18,872.57 million by 2032, expanding at a CAGR of 44.02% during the forecast period from 2023 to 2032.

Generative AI in Logistics Market Size 2023 To 2032

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Key Takeaways:

  • North America dominated the market with the largest market share of 44% in 2022.
  • Asia Pacific is expected to expand at the fastest CAGR during the forecast period.
  • By component, the software segment dominated the market with the highest market share in 2022.
  • By component, the solution segment is expected to witness significant growth in its market share during the predicted timeframe.
  • By deployment mode, Cloud base segment contributed more than 62% of revenue share in 2022.
  • By end-user, the retail segment dominated the market with the largest market share in 2022.
  • By end-user, the healthcare segment is expected to dominate the market during the forecast period.

Generative AI in Logistics Market Overview:

Generative AI is the latest technology that has its hands on several industries including retail, automobile, healthcare, etc. Generative AI is used for quick and efficient workflow in the organization. Logistics is one of the major industries which is currently using generative AI for maintaining an efficient supply chain in the organization. The logistics industry is an ever-evolving industry that requires advanced technologies in their supply chain management system for quick and effective operations.

Generative AI can help in logistics by analyzing the best routes for delivery. The generative AI plans the routes by analyzing the delivery including points, customer data, delivery frequency, and delivery time, from these data generative AI find the best and quick routes for the delivery of the product. It can also forecast the delay or disruption in the delivery schedule or routes.

Generative AI can be helpful in managing the pricing of the product according to the market condition. Generative AI analyzes customers' data, transportation costs, inventory level, and competition data by combining all that data generative AI can help the company to make an optimal price for the services and products by ensuring they are competitive in the market conditions.

Growth Factors:

Generative AI is the latest technology to predict and manage the supply chain in the organization. Such solutions can help the organization stock up on inventory for future demand and plan ahead which can decrease the market cost and improve efficiency. The rising demand for cost-effective and faster logistics solutions in the market acts as a growth factor for generative AI in the logistics market. Generative AI is also useful in warehouse management by analyzing the inventory data, customer demand, and usage, generative AI can be useful in the replenishment of the inventory and facilitate moderate stock level. It helps the logistics by maintaining the warehouse well stocked up which can minimize the possibility of running low or out of stock of inventory.

All these factors of generative AI have great potential to optimize the logistics process and increase efficiency. A logistics company can create more precise data and make more efficient decisions in accordance with the stock-up inventory for future demand by using generative AI technology. Using Generative AI in logistics will enhance the productivity and profitability of the organization and reduce the excessive cost incurred by the company. These are some of the major market growth factors for generative AI in the logistics market.

Generative AI in Logistics Market Scope

Report Coverage Details
Market Size in 2023 USD 707.99 Million
Market Size by 2032 USD 18,872.57 Million
Growth Rate from 2023 to 2032 CAGR of 44.02%
Largest Market North America
Fastest Growing Market Asia Pacific
Base Year 2022
Forecast Period 2023 To 2032
Segments Covered By Component, By Deployment, and By End-User
Regions Covered North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa


Generative AI in Logistics Market Dynamics:

Driver:

Demand for accurate prediction and supply planning

Due to the capabilities of generative AI, organizations may use real-time data in their forecasting procedures. As a result, artificial intelligence-powered demand forecasting methods have significantly lower error rates than traditional forecasting methods. Businesses may move trucks to adjacent warehouses more effectively and save operating costs by enhancing their workforce planning. Customers will be less likely to experience stockouts that reduce customer satisfaction if nearby warehouses and retailers can reduce holding costs. Generative artificial intelligence enables real-time demand analysis, which enables businesses to adapt their supply planning parameters dynamically and boost supply chain effectiveness. Dynamic supply planning decreases waste, which results in businesses using fewer resources.

On the other hand, the global supply chain and logistics industry is witnessing a major shift owing to booming e-commerce businesses and online orders. Considering the capabilities of generative AI for prediction and supply planning, the industry is prone to adopt such advanced generative solutions by driving the growth of the market.

Restraint:

Lack of visibility

Although there are many benefits to the use of generative AI in the logistics market. There are some the drawbacks to the generative AI in the logistics market like lack of visibility between manufacturer and consumer. Generative AI directly offers solutions to consumers without any human intervention, this may create visibility issues for customers. Lack of transparency and shortage of communication between both parties are likely to hamper the market growth.

Opportunity:

Rising focus on marketing and sales analytics strategies

Generative AI solutions are able to provide more accurate sales and marketing statistics. Logistics service providers may examine client behavior and utilize predictive analytics to better anticipate what their customers are likely to do next with the use of AI-powered solutions. AI-enabled solutions may be used to monitor market trends, giving logistics service providers an advantage over the competition and the ability to make data-driven decisions that will increase efficiency. As a result, market prospects were determined using sales and marketing analytics. This factor is observed to open multiple opportunities for the market to grow.

Component Insights:

The software segment holds the maximum share of Generative AI in the logistics market. As logistics companies start focusing on factors such as increased efficiency, decreasing human interventions and saving operation expenses, the growth of the software segment is observed to be fueled. Operators are able to gather all the crucial actions and procedures that take place across the supply chain with the aid of high-quality generative AI software.

Deployment Mode Insights:

The cloud-based segment is expected to grow at a significant rate during the forecast period. The growth of the segment is attributed to the benefits of cloud technology for logistics and its ability to streamline operations. The substantial requirements for the storage of data by logistics companies to manage and analyze operations acts as a growth factor for the segment.

Generative AI in Logistics Market Share, By Deployment Mode, 2022 (%)

Due to cloud-based logistics management systems, logistics service providers can track and manage stocks, shipments, and deliveries in real-time. By using this real-time data, logistics service providers may more accurately predict inventory levels, delivery schedules, and route optimization, which lowers costs and increases productivity. Additionally, cloud technology helps logistics service companies collaborate with their clients and suppliers more effectively. By using cloud-based communication technology, logistics companies may share information and data in real time with their customers and suppliers for better coordination and collaboration.

End User Insights:

The retail segment held the largest share of the market in 2022, the segment is expected to continue its growth during the forecast period. the rising e-commerce businesses along with a strong emphasis on predictive analysis in the retail industry has supplemented the market’s growth in recent years.

The healthcare segment is expected to witness significant growth in the market during the forecast period. Healthcare is one of the emerging industries due to the aging population and increasing chronic diseases among people. Generative AI work with machine learning models and algorithms. Pharmaceutical inventory plays a major role in the healthcare industry. Since the healthcare sector is coming one of the major emergency industries, generative AI plays an important role in healthcare logistics due to the emergency medicine need for chronic diseases.

Generative AI analyzes a large number of patients' data, growth of genomics and health data, and the prior used data of the medicines or the medical equipment by the physicians or patients, then it gives the insights to the healthcare manufacturer or retailer to optimize the stock of the inventory. Generative AI gives accurate and prompt insights about the inventory stock-up and gives optimize pricing for healthcare products. So there is enough stock of medicine and equipment at the time of emergency situation.

Microsoft announced the collaboration with Epic and Nuance. Microsoft’s Nuance announced a new clinical tool powered by GPT-4. The generative AI tools allow the HCPs to document the patents’ records and draft the data.

Regional Insights:

North America dominated the market with the largest market size in 2022. The growth of the region is attributed to the rising technological use in every sector along with the willingness to adopt advanced automation solutions for numerous industry operations. The increasing industrial infrastructure and rising need for logistics and supply chain management by the major industries tend to the higher need for generative AI in logistics in the region. The countries like the United States and Canada will develop the major industrial infrastructure due to the emerging economies and anticipate the higher demand of the market in the region.

Generative AI in Logistics Market Share, By Region, 2022 (%)

Asia Pacific is expected to have a significant market share during the forecast period. The growth of the region is attributed to the increasing population in the region. The rising disposable income results in a higher demand for various lifestyle products from daily needs to technological requirements resulting in a higher demand for inventory in every other sector. The higher management of logistics and supply chain management will result in a higher demand for generative AI in the logistics market.

As of April 2023, Singapore led the World Bank’s LPI (Logistics Performance Index). The LPI gives the top score for the competence, logistics services, and infrastructure categories. To stay competitive in the logistics industry, the countries in Asia Pacific are observed to rapidly adopt advanced solutions. This element highlights the development of the market in the region in the upcoming period.

Recent Development:

  • In June 2023, Pidge, the logistics technology provider announced the launch of digital parity in a heavily unorganized logistics sector, its services has already been launched in many mega and middle scale cities in pan India. The launch will redefine the logistics sector with its first industry low-code and self-serve logistics (Software-as-a-services) technology platform.
  • In June 2023, TSRTC (Telangana State Road Transport Corporation) launched parcel and cargo services on June 19, 2020. TSRTC Khammam region has earned Rs. 12.28 Crores from its logistics division within its 3 years working span.
  • In June 2023, Aviant, the Norwegian drone logistics company launched its home delivery services. The drone is about the deliver in Norway, the drone is capable of delivering medicines, groceries, takeaways food in densely populated areas.
  • In June 2023, Zabka Group, the most modern logistics center in Europe launched the automated logistics center in Radzymin near Warsaw. It can cover around 3500 stores. It is the most advanced technological infrastructure in the Zabka Group logistics.
  • In June 2023, Alirok.com an automated logistics interface announced the launch of a fully automated logistics platform for shipping for over 220 countries.

Generative AI in Logistics Market Companies

  • Deutsche Post AG
  • UPS (United Parcel Services)Major
  • Schneider Electric
  • C.H. Robinson
  • XPO Logistics
  • FedEx Corp
  • A.P. Moller - Maersk AS

Segments Covered in the Report:

By Component

  • Software
  • Solution

By Deployment Mode

  • Cloud Based
  • On-premise

By End-User

  • Healthcare
  • Aerospace
  • Telecommunication
  • Banking and Finance
  • Technology
  • Retail

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Frequently Asked Questions

What is the generative AI in logistics market size?
The global generative AI in logistics market size surpassed USD 491.59 million in 2022 and it is expected to increase USD 18,872.57 million by 2032.
What will be the CAGR of global generative AI in logistics market?
The global generative AI in logistics market will register growth rate of 44.02% between 2023 and 2032.
Who are the prominent players operating in the generative AI in logistics market?
The major players operating in the generative AI in logistics market are Deutsche Post AG, UPS Major, Schneider Electric, C.H. Robinson, XPO Logistics, FedEx Corp, A.P. Moller - Maersk AS, and Others.
Which are the driving factors of the generative AI in logistics market?
The driving factors of the generative AI in logistics market are the demand for accurate prediction and supply planning and requirements for predictive maintenance.
Which region will lead the global generative AI in logistics market?
North America region will lead the global generative AI in logistics market during the forecast period 2023 to 2032.

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