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    Generative AI in Fulfillment Logistics Market

    ID: MRFR/ICT/17289-CR
    128 Pages
    Aarti Dhapte
    January 2024

    Generative AI in Fulfillment & Logistics Market Research Report Information By offerings (Solution and Services), Type (VAE, GANs, RNNs, and LSTM Networks), Application (Warehouse Operations, Optimization and Management, Supply Chain Operations, Predictive Maintenance, Logistics Network Design, Inventory Management, Fraud Detection, Autonomous Robotics, Data Analytics & Reporting), Industrial vertical (Automotive, Pharmaceutical & Healthcare, Semiconductors & Electronics, Retail & E-Commerce, Food), By Regions Forecast Ti...

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    Generative AI in Fulfillment Logistics Market Summary

    The Global Generative AI in Fulfillment and Logistics Market is projected to experience exponential growth from 346653.55 USD Billion in 2024 to 18589492.01 USD Billion by 2035.

    Key Market Trends & Highlights

    Generative AI in Fulfillment & Logistics Key Trends and Highlights

    • The market is expected to grow at a compound annual growth rate of 45.98 percent from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 18589.5 USD Billion, indicating a substantial increase from the base year.
    • in 2024, the market is valued at 346653.55 USD Billion, reflecting the current investment in generative AI technologies.
    • Growing adoption of automation technologies due to increased efficiency demands is a major market driver.

    Market Size & Forecast

    2024 Market Size 346653.55 (USD Million)
    2035 Market Size 18589492.01 (USD Million)
    CAGR (2025-2035) 43.62%

    Major Players

    Microsoft Corporation, Secondmind, Waredock Estonia LLC, SAP SE, DHL Group, ai, Inc., Blue Yonder, OSA Commerce, DAT Solutions LLC, IBM Corporation, Oracle Corporation, ITRex Group, Accenture, LEEWAY, HERTZ

    Generative AI in Fulfillment Logistics Market Trends

    Autonomous Vehicles and Robotics is expected to drive market growth.

    With the advancement of self-driving cars and drones, generative AI has the potential to play a critical role in optimising routing algorithms and navigation systems. This will allow self-driving cars to travel more efficiently, lowering transportation costs and carbon emissions. Additionally, AI-powered drones can be utilised for last-mile delivery, particularly in distant or difficult-to-reach places, enhancing accessibility and overall consumer happiness.

    The automotive environment is being reshaped by generative AI, which is instilling intelligence in vehicles and producing personalised driving experiences that adapt to individual tastes and demands. The era of rigid and standardised interfaces is over; these vehicles may now change their looks, displays, and controls, providing a fully customisable driving experience that seamlessly matches with the user's choices.

    Through technology such as computer vision and LiDAR, generative AI supports vehicles in comprehending their surroundings. AI systems can produce detailed 3D maps of the surroundings, allowing vehicles to spot obstacles, pedestrians, and other vehicles with greater accuracy. Generative AI assists autonomous vehicles in making real-time decisions. These systems may simulate numerous driving circumstances and create optimal reactions, such as whether to brake, accelerate, or change lanes, to ensure safe navigation.

    The integration of generative AI technologies in fulfillment and logistics is poised to enhance operational efficiency and optimize supply chain management, thereby transforming traditional practices into more agile and responsive systems.

    U.S. Department of Commerce

    Generative AI in Fulfillment Logistics Market Drivers

    Market Growth Projections

    Sustainability Initiatives

    Sustainability is increasingly influencing the Global Generative AI in Fulfillment & Logistics Market Industry as companies seek to reduce their environmental impact. Generative AI can optimize logistics operations to minimize carbon footprints, enhance resource utilization, and promote eco-friendly practices. By integrating AI-driven solutions, organizations can achieve sustainability goals while maintaining operational efficiency. This alignment with global sustainability initiatives is likely to attract investment and drive market expansion. As the focus on sustainable logistics intensifies, generative AI will play a crucial role in shaping the future of the industry.

    Enhanced Predictive Analytics

    Predictive analytics, fueled by generative AI, is revolutionizing decision-making in the Global Generative AI in Fulfillment & Logistics Market Industry. By analyzing vast datasets, AI algorithms can forecast demand trends, optimize inventory levels, and improve delivery schedules. This capability allows companies to respond proactively to market fluctuations, thereby minimizing waste and maximizing customer satisfaction. As organizations increasingly rely on data-driven insights, the market is expected to grow significantly. The anticipated compound annual growth rate (CAGR) of 45.98% from 2025 to 2035 underscores the importance of predictive analytics in shaping the future of logistics.

    Increased Demand for Automation

    The Global Generative AI in Fulfillment & Logistics Market Industry experiences heightened demand for automation as businesses seek to enhance efficiency and reduce operational costs. Automation technologies, powered by generative AI, streamline processes such as inventory management and order fulfillment. Companies are increasingly adopting AI-driven solutions to optimize supply chain operations, which is projected to contribute to the market's growth. In 2024, the market is valued at 289.8 USD Billion, indicating a robust interest in automated systems. This trend is expected to accelerate, with generative AI playing a pivotal role in transforming logistics operations.

    Cost Reduction and Efficiency Gains

    The Global Generative AI in Fulfillment & Logistics Market Industry is witnessing a shift towards cost reduction and efficiency gains through the implementation of AI technologies. Generative AI enables companies to optimize routing, reduce fuel consumption, and minimize labor costs. By automating repetitive tasks, businesses can allocate resources more effectively, leading to improved operational efficiency. As organizations strive to remain competitive, the financial benefits of adopting generative AI solutions become increasingly apparent. This trend is likely to drive market growth, with projections indicating a market value of 18589.5 USD Billion by 2035.

    Personalization of Customer Experience

    Personalization is becoming a cornerstone of the Global Generative AI in Fulfillment & Logistics Market Industry as companies leverage AI to tailor services to individual customer preferences. Generative AI can analyze customer data to create personalized recommendations, optimize delivery options, and enhance overall service quality. This focus on customer-centric solutions not only improves satisfaction but also fosters brand loyalty. As businesses recognize the value of personalized experiences, the demand for generative AI technologies is expected to rise, further propelling market growth in the coming years.

    Market Segment Insights

    Generative AI in Fulfillment & Logistics Market offering Segment Insights

    Generative AI in Fulfillment & Logistics offering Insights

    Based on offering, the Generative AI in Fulfillment & Logistics Market segmentation includes Solution and Services. Solution held the majority share in 2022, contributing around ~44.7% to the market revenue. The solution segment in the generative AI in fulfillment and logistics market can be used to trains models on labeled data to make predictions or classifications, identifies patterns and relationships in unlabeled data. It can also solves complex problems by optimizing resources or planning sequences of actions.

    These solution systems are designed to learn and mimic patterns from large datasets and then generate new, similar content autonomously to enhance and maximize revenue generation in the logistics industry.

    FIGURE 2: GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET, BY OFFERINGS, 2022 VS 2032 (USD MILLION)

    Source: Secondary Research, Primary Research, Market Research Future Database, and Analyst Review

    Generative AI in Fulfillment & Logistics Type Insights

    Based on type, the Generative AI in Fulfillment & Logistics Market segmentation includes Variational Autoencoder (VAE), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) Networks. Variational Autoencoder (VAE) held the majority share in 2022. Variational Autoencoder (VAE) are a type of generative model that learns a probabilistic mapping between the input data and a latent space. They are often used for generating new samples that resemble the training data. VAE is a type of generative model in the field of machine learning and artificial intelligence.

    It belongs to the broader family of autoencoders, which are neural network architectures designed for unsupervised learning and dimensionality reduction. The objective function for VAE consists of two components a reconstruction loss and a regularization term.

    Generative AI in Fulfillment & Logistics Application Insights

    Based on application, the Generative AI in Fulfillment & Logistics Market segmentation includes Warehouse Operations, Optimization and Management, Supply Chain Operations, Predictive Maintenance, Logistics Network Design, Inventory Management, Fraud Detection, Customer Service Operations, Autonomous Robotics, Data Analytics & Reporting, and Others. Data Analytics & Reporting held the majority share in 2022. Generative AI use large enhance data quality by identifying and correcting errors, outliers, and missing values. It also flag potential issues, errors, or fraud by automatically detecting deviations from expected norms.

    It identify patterns and segments within the data that may not be immediately apparent and enable users to quickly and intuitively discover insights without extensive data science expertise.

    Generative AI in Fulfillment & Logistics Industry Vertical Insights

    Based on industrial vertical, the Generative AI in Fulfillment & Logistics Market segmentation includes Automotive, Pharmaceutical & Healthcare, Semiconductors & Electronics, Retail & E-Commerce, Food & Beverages, and Others. Automotive held the majority share in 2022. Generative AI algorithms can analyse real-time traffic data, weather conditions, and other variables to dynamically optimize delivery routes. This helps in reducing transportation costs, minimizing delivery times, and improving overall efficiency. Generative AI can be used to monitor the health of vehicles and logistics equipment.

    By analysing sensor data, the system can predict when maintenance is required, reducing the risk of unexpected breakdowns and improving overall fleet reliability.

    Get more detailed insights about Generative AI in Fulfillment Logistics Market

    Regional Insights

    By Region, the study provides market insights into North America, Europe, Asia-Pacific, and the South America. The North America Generative AI in Fulfillment & Logistics market accounted for ~54.0% in 2022. the region's large Generative AI in Fulfillment & Logistics industries, as well as the growing popularity of Generative AI in Fulfillment & Logistics. The use of Generative AI in Fulfillment & Logistics is expected to grow significantly in the coming years as companies seek to improve efficiency, productivity, and safety in their material handling and transportation operations.

    The US, Canada, and Mexico make up the three country segments that comprise the North American market for generative AI in fulfillment and logistics. Using artificial intelligence to produce original material and solutions is known as "generative AI. In the context of fulfillment and logistics in the United States, generative AI can be used in several ways. For example, it can be used to optimize routing and delivery schedules, automate order processing and payment, improve inventory management, and predict demand patterns. Technology can also help companies reduce errors, increase efficiency, and improve customer experience.

    Overall, generative AI has the potential to revolutionize the fulfillment and logistics industry in the US and beyond. Generative AI has been gaining popularity due to its ability to automate and streamline various tasks. Utilizing AI, companies can optimize fulfillment and logistics for improved efficiency and reduced costs. With the implementation of AI, businesses can better predict delivery times, manage inventory, and enhance customer experiences

    FIGURE 3: GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET SIZE BY REGION 2022 VS 2032 (USD Million)

    GENERATIVE AI IN FULFILLMENT & LOGISTICS MARKET SIZE BY REGION 2022 VS 2032

    Source: Secondary Research, Primary Research, Market Research Future Database, and Analyst Review

    Further, the major countries studied in the market report are the U.S., Canada, Germany, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

    The European Generative AI in Fulfillment and Logistics market has been divided, by country, into Germany, the UK, France, Spain, Italy, Nordics, Balkans, and the rest of Europe. Generative AI has emerged as a key tool in optimizing fulfillment and logistics in Europe. The technology can help automate and streamline processes, reduce human error, and improve overall operational efficiency. This can lead to faster delivery times, increased productivity, and reduced costs. Additionally, generative AI can be used to analyze data and make predictions, helping businesses make data-driven decisions about inventory management, demand forecasting, and route optimization.

    Overall, generative AI has the potential to transform the way we approach fulfillment and logistics in Europe, helping businesses stay competitive and agile in the face of rapidly changing market conditions.

    Key Players and Competitive Insights

    With a strong presence across different verticals and geographies, the Generative AI in Fulfillment & Logistics market is highly competitive and dominated by established, pure-play vendors. Over 20 vendors cater to this market, and they continually innovate their solutions to meet the evolving needs of businesses by adopting new technologies. These vendors have a robust geographic footprint and partner ecosystem to cater to diverse customer segments. The Generative AI in Fulfillment & Logistics market is highly competitive, with many vendors offering similar products and services.

    The major players in the market include Microsoft Corporation, Secondmind, Waredock Estonia LLC, SAP SE, and DHL Group Industries Corporation constantly takes on new challenges to ensure the stability of its management foundation by extending its reach into business fields such as engine production, vehicle assembly, and the development and production of lift trucks and car air-conditioning compressors. It concentrates on broadening its product offerings to reach new audiences in the global market.

    The Generative AI in Fulfillment & Logistics Market is consolidated, increasing competition, acquisitions, mergers, and other strategic market developments and decisions to improve operational effectiveness.

    Key Companies in the Generative AI in Fulfillment Logistics Market market include

    Industry Developments

    In May 2023, SAP launched AI solutions to future-proof supply chains, addressing the need for increased productivity and reduced waste in the FreightTech industry. While AI can enhance current logistics systems, it's also critical to consider disruptive global shipping changes that would be impossible without AI support, according to FreightTech providers.

    In November 2023, SAP SE introduced a range of generative AI solutions to simplify logistics applications, enabling developers to create AI-driven apps and enhance business operations. These advancements aimed to empower developers of varying skill levels to capitalize on the potential of AI and drive success in their respective industries.

    Future Outlook

    Generative AI in Fulfillment Logistics Market Future Outlook

    The Generative AI in Fulfillment & Logistics Market is poised for growth at 43.62% CAGR from 2025 to 2035, driven by automation, data analytics, and enhanced customer experiences.

    New opportunities lie in:

    • Develop AI-driven predictive analytics tools for inventory management.
    • Implement generative design in warehouse layouts to optimize space.
    • Create personalized AI solutions for last-mile delivery efficiency.

    By 2035, the market is expected to achieve substantial advancements, solidifying its role in global logistics.

    Market Segmentation

    Generative AI in Fulfillment & Logistics Type Outlook

    • Solution
    • Services

    Generative AI in Fulfillment & Logistics Regional Outlook

    • US
    • Canada
    • Mexico
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
    • China
    • Japan
    • India
    • Rest of Asia-Pacific
    • Saudi Arabia
    • UAE
    • South Africa
    • Rest of MEA
    • Brazil
    • Argentina
    • Rest of South America

    Generative AI in Fulfillment & Logistics offering Outlook

    • Solution
    • Services

    Generative AI in Fulfillment & Logistics Application Outlook

    • Warehouse Operations, Optimization and Management
    • Supply Chain Operations
    • Predictive Maintenance
    • Logistics Network Design
    • Inventory Management
    • Fraud Detection
    • Customer Service Operations
    • Autonomous Robotics
    • Data Analytics & Reporting
    • Others

    Generative AI in Fulfillment & Logistics Industry Vertical Outlook

    • Automotive
    • Pharmaceutical & Healthcare
    • Semiconductors & Electronics
    • Retail & E-Commerce
    • Food & Beverages
    • Others

    Report Scope

    Report Attribute/Metric Details
    Market Size 2024 346653.55 (USD Million)
    Market Size 2025 497864.63 (USD Million)
    Market Size 2035 18589492.01 (USD Million)
    Compound Annual Growth Rate (CAGR) 43.62% (2025 - 2035)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2024
    Market Forecast Period 2025 - 2035
    Historical Data 2019 - 2023
    Market Forecast Units USD Million
    Segments Covered offering, Type, Application, industry vertical  and Region
    Geographies Covered North America, Europe, Asia-Pacific, Middle East & Africa, and South America
    Countries Covered US, Canada, Mexico, UK, Germany, France, Italy, Spain, China, Japan, India, south Korea, UAE, South Africa, Saudi Arabia, Brazil, Argentina, and others.
    Key Companies Profiled Microsoft Corporation, Secondmind, Waredock Estonia LLC, SAP SE, DHL Group, C3.ai, Inc., Blue Yonder., XENONSTACK.ai, OSA Commerce, DAT Solutions LLC, IBM Corporation, Oracle Corporation, ITRex Group, Accenture, and LEEWAYHERTZ  
    Key Market Opportunities ·       Surge in e-commerce and rising customer expectations
    Key Market Dynamics ·       Growing benefits of generative ai for logistics industry ·       Growing potential of generative ai across end-to-end supply chain optimization

    Market Highlights

    Author
    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in Market Research and Business Consulting, working under the spectrum of Information Communication Technology, Telecommunications and Semiconductor domains. Aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. Her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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    FAQs

    How much is the Generative AI in Fulfillment & Logistics market?

    The Generative AI in Fulfillment & Logistics Market size is expected to be valued at USD 346653.55 Million in 2024.

    What is the growth rate of the Generative AI in Fulfillment & Logistics market?

    The global market is projected to grow at a CAGR of 43.62% during the forecast period, 2025-2034.

    Which region held the largest market share in the Generative AI in Fulfillment & Logistics market?

    North America had the largest share of the global market.

    North America had the largest share of the global market.

    The key players in the market Microsoft Corporation, Secondmind, Waredock Estonia LLC, SAP SE, DHL Group, C3.ai, Inc., Blue Yonder., XENONSTACK.ai, OSA Commerce, DAT Solutions LLC, IBM Corporation, Oracle Corporation, ITRex Group, Accenture, and LEEWAYHERTZ

    Which offering led the Generative AI in Fulfillment & Logistics market?

    Solution dominated the market in 2024.

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