AI In Logistics And Supply Chain Market Size 2025-2029
The ai in logistics and supply chain market size is forecast to increase by USD 46.2 billion, at a CAGR of 26.6% between 2024 and 2029.
The global AI in logistics and supply chain market is driven by the imperative for increased efficiency and substantial cost reduction. Organizations are adopting AI-powered solutions to streamline operations, utilizing route optimization algorithms and predictive maintenance to minimize waste and enhance resource utilization. The logistics automation trend is reshaping warehousing and distribution logistics, where intelligent systems analyze vast datasets to identify and correct inefficiencies. This focus on operational excellence through applied AI in retail and e-commerce directly contributes to improved profitability and a stronger competitive position, making AI an essential investment for modern supply chains and fostering growth in the ai in e-commerce segment.Hyperautomation in warehouses and distribution centers is a significant trend, applying technologies like robotic process automation and machine learning to automate as many processes as possible. This includes the use of autonomous mobile robots and robotic picking systems to accelerate order fulfillment. However, data quality and integration issues present a formidable challenge, as fragmented data landscapes and inconsistent standards compromise the reliability of AI models. This directly impacts the effectiveness of predictive AI in supply chain applications and can lead to erroneous predictions, undermining the trust in AI-powered systems and hindering the full realization of their benefits in the artificial intelligence (AI) market in retail sector.
What will be the Size of the AI In Logistics And Supply Chain Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
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The strategic application of AI continues to evolve, moving beyond simple process automation toward comprehensive supply chain orchestration. Organizations are utilizing AI-powered solutions to achieve end-to-end visibility, integrating data from IoT sensors and enterprise systems to enable real-time decision-making. The use of predictive analytics for demand forecasting and risk mitigation is becoming standard practice, allowing for more proactive inventory management and enhanced supply chain resilience. This shift reflects a deeper integration of AI into core business strategies, particularly in the logistics market for industrial sector, where efficiency and reliability are paramount.Operational advancements are centered on intelligent automation within physical logistics environments. The adoption of autonomous mobile robots and robotic picking systems, guided by sophisticated computer vision and machine learning models, is transforming warehouse management. In transportation, AI-driven route optimization and fleet management systems are continuously refined to account for dynamic variables like traffic and weather. This drive towards hyperautomation in warehouses and distribution centers underscores the industry's commitment to improving throughput and accuracy, with generative ai in fulfillment and logistics opening new frontiers for process design.A key area of development is the convergence of different AI technologies to create more holistic systems. For instance, natural language processing is being combined with predictive models to interpret unstructured data from news and social media, providing richer context for risk assessment. Similarly, the integration of generative AI with traditional analytical tools allows for more creative problem-solving, such as simulating novel supply chain network designs. This multi-faceted approach, central to advancements in warehousing and distribution logistics, is essential for building adaptive and self-optimizing supply chains capable of navigating complex global trade dynamics.
How is this AI In Logistics And Supply Chain Industry segmented?
The ai in logistics and supply chain industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.
- Component
- Deployment
- Application
- Supply chain planning
- Warehouse management
- Transportation management
- Fleet management
- Others
- Geography
- North America
- APAC
- China
- India
- Japan
- South Korea
- Australia
- Indonesia
- Europe
- Germany
- France
- UK
- Italy
- The Netherlands
- Spain
- Middle East and Africa
- South America
- Rest of World (ROW)
By Component Insights
The solutions segment is estimated to witness significant growth during the forecast period.
The solutions segment encompasses a broad spectrum of software and hardware applications designed to integrate AI functionalities into various operational processes. This includes advanced analytics platforms for demand forecasting, intelligent inventory management systems, route optimization software, and warehouse automation technologies. These solutions leverage machine learning algorithms and computer vision to process vast datasets, identify patterns, and generate actionable insights. The primary driver is the need for enhanced automation, predictive capabilities, and optimized decision-making across the entire supply chain.
The continuous evolution of AI algorithms, coupled with the increasing availability of granular data, fuels innovation within this segment. This leads to more sophisticated and integrated solutions that can address highly specific logistical challenges. While adoption is growing globally, emerging markets, representing over 4% of the geographic opportunity, are increasingly turning to scalable, cloud-based solutions to overcome infrastructure hurdles. The development of explainable AI (XAI) is also enhancing the transparency and trustworthiness of these solutions, making them more appealing for critical applications.
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The Solutions segment was valued at USD 5.5 billion in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 36.7% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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The North America AI in logistics and supply chain market is a leading region, benefiting from advanced technological infrastructure, significant investment in R&D, and a strong presence of major technology and logistics firms. Businesses in the region are acutely focused on leveraging AI to address challenges such as labor shortages and the increasing complexity of supply chains fueled by e-commerce growth. Investment in AI solutions for demand forecasting, inventory optimization, and intelligent warehouse automation is particularly robust, reflecting a commitment to operational excellence.
While North America leads in adoption, other regions representing over 5% of the growth opportunity are also advancing their AI capabilities. The imperative for greater supply chain resilience has accelerated the adoption of AI-powered risk management and predictive analytics tools across the North America region. Organizations are also actively exploring AI for optimizing last-mile delivery, utilizing intelligent routing and autonomous solutions. The integration of AI with existing ERP and transportation management systems is a common strategic objective to achieve seamless, data-driven operational workflows.
Market Dynamics
Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The global AI in logistics and supply chain market is witnessing significant expansion. Companies are leveraging AI-powered demand forecasting solutions, which utilize machine learning for demand forecasting, to predict market trends accurately. The advent of generative AI for supply chain optimization is redefining network management. Key operational enhancements include AI for intelligent inventory management and effective AI for freight procurement optimization. Inside facilities, robotic process automation in logistics automates repetitive work, while AI-powered warehouse automation systems and computer vision in warehouse operations enhance throughput. This trend of intelligent automation in distribution centers accelerates fulfillment. Moreover, predictive maintenance for logistics assets reduces operational downtime, and the application of AI for predictive supply chain analytics offers deep strategic insights for decision-makers.Complementing these advancements, real-time supply chain visibility platforms offer crucial transparency, bolstering AI for enhanced risk management. In transit, AI-driven route optimization engines and specific AI-driven route optimization software reduce costs, directly impacting AI for last-mile delivery optimization. Operations are further refined by AI-based fleet management solutions. Strategic foresight is improved through generative AI for logistics scenario planning, preparing businesses for future challenges. Niche areas like AI applications in cold chain logistics ensure sensitive goods are handled correctly. Additionally, natural language processing for logistics improves data processing, while a focus on AI for sustainable supply chain practices aligns operations with environmental goals, solidifying AI's essential role.
What are the key market drivers leading to the rise in the adoption of AI In Logistics And Supply Chain Industry?
- The primary driver for the market is the critical need for increased operational efficiency and significant cost reduction across logistics and supply chain functions.
Increased efficiency and substantial cost reduction are paramount drivers for the market. In a competitive and volatile economic landscape, businesses are seeking methods to streamline operations and optimize resource utilization. AI-powered solutions facilitate this by analyzing vast datasets from supply chain operations to identify inefficiencies that are often undetectable through traditional methods. This includes optimizing inventory placement in warehouses, automating tasks like sorting and packing, and calculating the most fuel-efficient transportation routes using route optimization algorithms. Predictive maintenance is another key application that minimizes costly unplanned downtime. This focus on efficiency directly enhances profitability, making AI an indispensable tool for achieving operational excellence.Enhanced supply chain visibility and transparency are critical drivers, addressing the need for real-time insights into the movement of goods and potential disruptions. With a significant portion of the market opportunity, over 36%, concentrated in developed regions, organizations require unprecedented clarity to mitigate risks. AI plays a pivotal role by integrating and analyzing data from disparate sources, such as IoT sensors and GPS trackers, to provide an end-to-end view of the supply chain. This holistic visibility allows stakeholders to track shipments, monitor inventory levels, and proactively manage deviations from planned schedules. Predictive analytics can forecast potential delays, enabling logistics managers to re-route shipments and minimize impact, thereby building a more resilient and responsive supply chain.
What are the market trends shaping the AI In Logistics And Supply Chain Industry?
- A key market trend is the move toward hyperautomation in warehouses and distribution centers, leveraging a combination of advanced technologies to maximize process automation.
Hyperautomation in warehouses and distribution centers is a defining trend. This involves applying advanced technologies like artificial intelligence, machine learning, and robotic process automation (RPA) to automate a wide range of business and IT processes. In logistics, this trend is driven by the need for greater operational efficiency, reduced labor costs, and faster, more accurate order fulfillment to meet escalating consumer demands. This trend is particularly pronounced in fast-growing markets, which represent nearly 30% of the global opportunity. AI is central to this shift, enabling intelligent decision-making for autonomous systems such as autonomous mobile robots (AMRS) and optimizing workflows through intelligent inventory slotting. The aim is to create intelligent, self-optimizing warehouses capable of responding dynamically to demand fluctuations, a core component of modern warehousing and distribution logistics.Predictive AI for enhanced risk management and supply chain resilience is another pivotal trend. In the wake of global disruptions, businesses recognize the need for more robust and foresight-driven supply chains. Predictive AI utilizes advanced machine learning models to analyze diverse datasets, identifying potential risks before they materialize. These datasets include internal operational data as well as external factors like news feeds, weather patterns, and economic indicators. AI algorithms can detect subtle patterns that might indicate an impending disruption, such as a supplier's financial distress or a weather event impacting a shipping lane. This capability allows organizations to shift from reactive problem-solving to proactive mitigation strategies, a key feature of predictive AI in supply chain applications and the broader logistics market for industrial sector.
What challenges does the AI In Logistics And Supply Chain Industry face during its growth?
- A significant challenge impacting market growth is the prevalence of data quality and integration issues across fragmented IT landscapes.
Data quality and integration issues represent significant impediments to the effective adoption of AI. The performance of AI algorithms is inherently dependent on vast quantities of high-quality, consistent, and well-integrated data. However, many organizations operate with fragmented data landscapes where information resides in disparate legacy systems with varied formats and inconsistent standards. This lack of data harmonization creates substantial hurdles for AI implementation. Poor data quality—characterized by inaccuracies, incompleteness, or outdated information—directly compromises the reliability of AI models, leading to erroneous predictions and suboptimal decisions. Addressing this requires significant investment in data infrastructure and robust data governance frameworks.High implementation costs and uncertainty regarding return on investment (ROI) also pose substantial challenges. Even in mature markets, which account for over 24% of the geographic opportunity, deploying sophisticated AI solutions often requires significant upfront capital expenditure in specialized hardware, data infrastructure, and system integration. Beyond direct monetary costs, there are indirect costs associated with organizational change management and retraining employees. Accurately calculating the ROI for AI initiatives can be difficult, as many benefits, such as enhanced supply chain resilience, are long-term and hard to quantify precisely. This financial uncertainty can lead decision-makers to adopt a cautious approach, slowing broader adoption.
Exclusive Customer Landscape
The ai in logistics and supply chain market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the ai in logistics and supply chain market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Key Companies & Market Insights
Companies are implementing various strategies, such as strategic alliances, ai in logistics and supply chain market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
Amazon.com Inc. - Offerings in the global AI in logistics and supply chain market provide a comprehensive suite of capabilities designed to optimize operations and enhance decision-making. These include solutions for predictive demand planning, cognitive insights for supply chain management, and real-time visibility platforms that track shipments across multiple modes of transport. Key capabilities also extend to robotic warehouse automation, intelligent picking systems, and AI-powered procurement optimization. Companies leverage these offerings for supply chain modeling, scenario planning, risk management, and integrated logistics. The technology facilitates advanced analytics, intelligent automation, and the use of AI agents to streamline complex workflows, from freight transportation and warehousing to spend analytics and supplier risk management.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
- Amazon.com Inc.
- Aramex International LLC
- Blue Yonder Group Inc.
- C H Robinson Worldwide Inc.
- Coupa Software Inc.
- DP World
- E2open Parent Holdings Inc.
- Fourkites Inc.
- GEP
- Google LLC
- Infor Inc.
- International Business Machines Corp.
- Microsoft Corp.
- Oracle Corp.
- project44
- SAP SE
- Symbotic Inc.
- XPO Inc.
- Zebra Technologies Corp.
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Recent Development and News in Ai In Logistics And Supply Chain Market
In May 2024, Oracle announced new AI capabilities for its Fusion Cloud Supply Chain Management, emphasizing enhanced predictive analytics and automation delivered entirely through its cloud infrastructure.In April 2024, Resilinc, a leading supply chain risk management platform, announced the integration of advanced generative AI capabilities to enhance its predictive risk intelligence.In April 2024, Accenture announced new consulting services specifically designed to assist clients in integrating generative AI into their supply chain operations, covering strategy, implementation, and change management.In March 2024, Google Cloud announced the expansion of its generative AI offerings for enterprise customers, highlighting applications for optimizing supply chain operations through advanced forecasting and inventory management.In February 2024, Symbotic announced new deployments of its hyperautomation solutions in multiple large-scale distribution centers across North America, demonstrating the accelerating adoption of intelligent robotics.
Research Analyst Overview
The global AI in logistics and supply chain market is characterized by a fundamental shift toward logistics automation, driven by significant capital expenditure in AI-powered solutions. Organizations are leveraging machine learning models to enhance route optimization algorithms and improve fleet management through insights from telematics devices. The integration with warehouse management systems facilitates hyperautomation in warehouses, where robotic process automation and intelligent process automation streamline operations from load planning to freight procurement optimization. This evolution reflects a sector-wide move toward data-centric operations, with industry analyses indicating an adoption increase of over 35% in these technologies. This movement impacts everything from driver behavior monitoring and spend analytics to the development of smart logistics corridors.The continued evolution of the market centers on advancing supply chain resilience and supply chain visibility. Predictive AI and generative AI are becoming integral to improving demand forecasting accuracy and enabling proactive real-time decision-making. In physical operations, the use of computer vision guides autonomous mobile robots and robotic picking systems for intelligent inventory placement and intelligent factory logistics. This extends to real-time shipment tracking for complex routes, including inter-island freight movements and specialized cold chain logistics. The deployment of these sophisticated AI models for functions like automated supplier selection and predictive maintenance necessitates robust data governance frameworks and a commitment to ethical AI development, ensuring scalable integration across intelligent transportation systems for last-mile delivery optimization.
Dive into Technavio’s robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled AI In Logistics And Supply Chain Market insights. See full methodology.
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Market Scope
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Report Coverage
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Details
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Page number
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297
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Base year
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2024
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Historic period
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2019 - 2023 |
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Forecast period
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2025-2029
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Growth momentum & CAGR
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Accelerating at a CAGR of 26.6%
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Market growth 2024-2029
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USD 46.2 billion
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Market structure
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Fragmented
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YoY growth 2024-2029(%)
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24.9%
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Key countries
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US, Canada, Mexico, China, India, Japan, South Korea, Australia, Indonesia, Germany, France, UK, Italy, The Netherlands, Spain, Saudi Arabia, UAE, South Africa, Israel, Turkey, Brazil, Argentina, Colombia
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Competitive landscape
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Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks
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What are the Key Data Covered in this AI In Logistics And Supply Chain Market Research and Growth Report?
- CAGR of the AI In Logistics And Supply Chain industry during the forecast period
- Detailed information on factors that will drive the growth and forecasting between 2024 and 2029
- Precise estimation of the size of the market and its contribution of the industry in focus to the parent market
- Accurate predictions about upcoming growth and trends and changes in consumer behaviour
- Growth of the market across North America, APAC, Europe, Middle East and Africa, South America
- Thorough analysis of the market’s competitive landscape and detailed information about companies
- Comprehensive analysis of factors that will challenge the ai in logistics and supply chain market growth of industry companies
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1 Executive Summary
- 1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Component
- Executive Summary - Chart on Market Segmentation by Deployment
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- Chart on Overview on criticality of inputs and factors of differentiation
- 2.3 Factors of disruption
- Chart on Overview on factors of disruption
- 2.4 Impact of drivers and challenges
- Chart on Impact of drivers and challenges in 2024 and 2029
3 Market Landscape
- 3 Market Landscape
- 3.1 Market ecosystem
- Chart on Parent Market
- Data Table on - Parent Market
- 3.2 Market characteristics
- Chart on Market characteristics analysis
- 3.3 Value chain analysis
- Chart on Value chain analysis
4 Market Sizing
- 4 Market Sizing
- 4.1 Market definition
- Data Table on Offerings of companies included in the market definition
- 4.2 Market segment analysis
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
- Chart on Global - Market size and forecast 2024-2029 ($ billion)
- Data Table on Global - Market size and forecast 2024-2029 ($ billion)
- Chart on Global Market: Year-over-year growth 2024-2029 (%)
- Data Table on Global Market: Year-over-year growth 2024-2029 (%)
5 Historic Market Size
- 5 Historic Market Size
- 5.1 Global AI In Logistics And Supply Chain Market 2019 - 2023
- Historic Market Size - Data Table on Global AI In Logistics And Supply Chain Market 2019 - 2023 ($ billion)
- 5.2 Component segment analysis 2019 - 2023
- Historic Market Size - Component Segment 2019 - 2023 ($ billion)
- 5.3 Deployment segment analysis 2019 - 2023
- Historic Market Size - Deployment Segment 2019 - 2023 ($ billion)
- 5.4 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ billion)
- 5.5 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ billion)
- 5.6 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ billion)
6 Five Forces Analysis
- 6 Five Forces Analysis
- 6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 6.7 Market condition
- Chart on Market condition - Five forces 2024 and 2029
7 Market Segmentation by Component
- 7 Market Segmentation by Component
- 7.1 Market segments
- Chart on Component - Market share 2024-2029 (%)
- Data Table on Component - Market share 2024-2029 (%)
- 7.2 Comparison by Component
- Chart on Comparison by Component
- Data Table on Comparison by Component
- 7.3 Solutions - Market size and forecast 2024-2029
- Chart on Solutions - Market size and forecast 2024-2029 ($ billion)
- Data Table on Solutions - Market size and forecast 2024-2029 ($ billion)
- Chart on Solutions - Year-over-year growth 2024-2029 (%)
- Data Table on Solutions - Year-over-year growth 2024-2029 (%)
- 7.4 Services - Market size and forecast 2024-2029
- Chart on Services - Market size and forecast 2024-2029 ($ billion)
- Data Table on Services - Market size and forecast 2024-2029 ($ billion)
- Chart on Services - Year-over-year growth 2024-2029 (%)
- Data Table on Services - Year-over-year growth 2024-2029 (%)
- 7.5 Market opportunity by Component
- Market opportunity by Component ($ billion)
- Data Table on Market opportunity by Component ($ billion)
8 Market Segmentation by Deployment
- 8 Market Segmentation by Deployment
- 8.1 Market segments
- Chart on Deployment - Market share 2024-2029 (%)
- Data Table on Deployment - Market share 2024-2029 (%)
- 8.2 Comparison by Deployment
- Chart on Comparison by Deployment
- Data Table on Comparison by Deployment
- 8.3 Cloud - Market size and forecast 2024-2029
- Chart on Cloud - Market size and forecast 2024-2029 ($ billion)
- Data Table on Cloud - Market size and forecast 2024-2029 ($ billion)
- Chart on Cloud - Year-over-year growth 2024-2029 (%)
- Data Table on Cloud - Year-over-year growth 2024-2029 (%)
- 8.4 On premises - Market size and forecast 2024-2029
- Chart on On premises - Market size and forecast 2024-2029 ($ billion)
- Data Table on On premises - Market size and forecast 2024-2029 ($ billion)
- Chart on On premises - Year-over-year growth 2024-2029 (%)
- Data Table on On premises - Year-over-year growth 2024-2029 (%)
- 8.5 Market opportunity by Deployment
- Market opportunity by Deployment ($ billion)
- Data Table on Market opportunity by Deployment ($ billion)
9 Market Segmentation by Application
- 9 Market Segmentation by Application
- 9.1 Market segments
- Chart on Application - Market share 2024-2029 (%)
- Data Table on Application - Market share 2024-2029 (%)
- 9.2 Comparison by Application
- Chart on Comparison by Application
- Data Table on Comparison by Application
- 9.3 Supply chain planning - Market size and forecast 2024-2029
- Chart on Supply chain planning - Market size and forecast 2024-2029 ($ billion)
- Data Table on Supply chain planning - Market size and forecast 2024-2029 ($ billion)
- Chart on Supply chain planning - Year-over-year growth 2024-2029 (%)
- Data Table on Supply chain planning - Year-over-year growth 2024-2029 (%)
- 9.4 Warehouse management - Market size and forecast 2024-2029
- Chart on Warehouse management - Market size and forecast 2024-2029 ($ billion)
- Data Table on Warehouse management - Market size and forecast 2024-2029 ($ billion)
- Chart on Warehouse management - Year-over-year growth 2024-2029 (%)
- Data Table on Warehouse management - Year-over-year growth 2024-2029 (%)
- 9.5 Transportation management - Market size and forecast 2024-2029
- Chart on Transportation management - Market size and forecast 2024-2029 ($ billion)
- Data Table on Transportation management - Market size and forecast 2024-2029 ($ billion)
- Chart on Transportation management - Year-over-year growth 2024-2029 (%)
- Data Table on Transportation management - Year-over-year growth 2024-2029 (%)
- 9.6 Fleet management - Market size and forecast 2024-2029
- Chart on Fleet management - Market size and forecast 2024-2029 ($ billion)
- Data Table on Fleet management - Market size and forecast 2024-2029 ($ billion)
- Chart on Fleet management - Year-over-year growth 2024-2029 (%)
- Data Table on Fleet management - Year-over-year growth 2024-2029 (%)
- 9.7 Others - Market size and forecast 2024-2029
- Chart on Others - Market size and forecast 2024-2029 ($ billion)
- Data Table on Others - Market size and forecast 2024-2029 ($ billion)
- Chart on Others - Year-over-year growth 2024-2029 (%)
- Data Table on Others - Year-over-year growth 2024-2029 (%)
- 9.8 Market opportunity by Application
- Market opportunity by Application ($ billion)
- Data Table on Market opportunity by Application ($ billion)
10 Customer Landscape
- 10 Customer Landscape
- 10.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
11 Geographic Landscape
- 11 Geographic Landscape
- 11.1 Geographic segmentation
- Chart on Market share by geography 2024-2029 (%)
- Data Table on Market share by geography 2024-2029 (%)
- 11.2 Geographic comparison
- Chart on Geographic comparison
- Data Table on Geographic comparison
- 11.3 North America - Market size and forecast 2024-2029
- Chart on North America - Market size and forecast 2024-2029 ($ billion)
- Data Table on North America - Market size and forecast 2024-2029 ($ billion)
- Chart on North America - Year-over-year growth 2024-2029 (%)
- Data Table on North America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - North America
- Data Table on Regional Comparison - North America
- 11.3.1 US - Market size and forecast 2024-2029
- Chart on US - Market size and forecast 2024-2029 ($ billion)
- Data Table on US - Market size and forecast 2024-2029 ($ billion)
- Chart on US - Year-over-year growth 2024-2029 (%)
- Data Table on US - Year-over-year growth 2024-2029 (%)
- 11.3.2 Canada - Market size and forecast 2024-2029
- Chart on Canada - Market size and forecast 2024-2029 ($ billion)
- Data Table on Canada - Market size and forecast 2024-2029 ($ billion)
- Chart on Canada - Year-over-year growth 2024-2029 (%)
- Data Table on Canada - Year-over-year growth 2024-2029 (%)
- 11.3.3 Mexico - Market size and forecast 2024-2029
- Chart on Mexico - Market size and forecast 2024-2029 ($ billion)
- Data Table on Mexico - Market size and forecast 2024-2029 ($ billion)
- Chart on Mexico - Year-over-year growth 2024-2029 (%)
- Data Table on Mexico - Year-over-year growth 2024-2029 (%)
- 11.4 APAC - Market size and forecast 2024-2029
- Chart on APAC - Market size and forecast 2024-2029 ($ billion)
- Data Table on APAC - Market size and forecast 2024-2029 ($ billion)
- Chart on APAC - Year-over-year growth 2024-2029 (%)
- Data Table on APAC - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - APAC
- Data Table on Regional Comparison - APAC
- 11.4.1 China - Market size and forecast 2024-2029
- Chart on China - Market size and forecast 2024-2029 ($ billion)
- Data Table on China - Market size and forecast 2024-2029 ($ billion)
- Chart on China - Year-over-year growth 2024-2029 (%)
- Data Table on China - Year-over-year growth 2024-2029 (%)
- 11.4.2 India - Market size and forecast 2024-2029
- Chart on India - Market size and forecast 2024-2029 ($ billion)
- Data Table on India - Market size and forecast 2024-2029 ($ billion)
- Chart on India - Year-over-year growth 2024-2029 (%)
- Data Table on India - Year-over-year growth 2024-2029 (%)
- 11.4.3 Japan - Market size and forecast 2024-2029
- Chart on Japan - Market size and forecast 2024-2029 ($ billion)
- Data Table on Japan - Market size and forecast 2024-2029 ($ billion)
- Chart on Japan - Year-over-year growth 2024-2029 (%)
- Data Table on Japan - Year-over-year growth 2024-2029 (%)
- 11.4.4 South Korea - Market size and forecast 2024-2029
- Chart on South Korea - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Korea - Market size and forecast 2024-2029 ($ billion)
- Chart on South Korea - Year-over-year growth 2024-2029 (%)
- Data Table on South Korea - Year-over-year growth 2024-2029 (%)
- 11.4.5 Australia - Market size and forecast 2024-2029
- Chart on Australia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Australia - Market size and forecast 2024-2029 ($ billion)
- Chart on Australia - Year-over-year growth 2024-2029 (%)
- Data Table on Australia - Year-over-year growth 2024-2029 (%)
- 11.4.6 Indonesia - Market size and forecast 2024-2029
- Chart on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Chart on Indonesia - Year-over-year growth 2024-2029 (%)
- Data Table on Indonesia - Year-over-year growth 2024-2029 (%)
- 11.5 Europe - Market size and forecast 2024-2029
- Chart on Europe - Market size and forecast 2024-2029 ($ billion)
- Data Table on Europe - Market size and forecast 2024-2029 ($ billion)
- Chart on Europe - Year-over-year growth 2024-2029 (%)
- Data Table on Europe - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Europe
- Data Table on Regional Comparison - Europe
- 11.5.1 Germany - Market size and forecast 2024-2029
- Chart on Germany - Market size and forecast 2024-2029 ($ billion)
- Data Table on Germany - Market size and forecast 2024-2029 ($ billion)
- Chart on Germany - Year-over-year growth 2024-2029 (%)
- Data Table on Germany - Year-over-year growth 2024-2029 (%)
- 11.5.2 France - Market size and forecast 2024-2029
- Chart on France - Market size and forecast 2024-2029 ($ billion)
- Data Table on France - Market size and forecast 2024-2029 ($ billion)
- Chart on France - Year-over-year growth 2024-2029 (%)
- Data Table on France - Year-over-year growth 2024-2029 (%)
- 11.5.3 UK - Market size and forecast 2024-2029
- Chart on UK - Market size and forecast 2024-2029 ($ billion)
- Data Table on UK - Market size and forecast 2024-2029 ($ billion)
- Chart on UK - Year-over-year growth 2024-2029 (%)
- Data Table on UK - Year-over-year growth 2024-2029 (%)
- 11.5.4 Italy - Market size and forecast 2024-2029
- Chart on Italy - Market size and forecast 2024-2029 ($ billion)
- Data Table on Italy - Market size and forecast 2024-2029 ($ billion)
- Chart on Italy - Year-over-year growth 2024-2029 (%)
- Data Table on Italy - Year-over-year growth 2024-2029 (%)
- 11.5.5 The Netherlands - Market size and forecast 2024-2029
- Chart on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Data Table on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Chart on The Netherlands - Year-over-year growth 2024-2029 (%)
- Data Table on The Netherlands - Year-over-year growth 2024-2029 (%)
- 11.5.6 Spain - Market size and forecast 2024-2029
- Chart on Spain - Market size and forecast 2024-2029 ($ billion)
- Data Table on Spain - Market size and forecast 2024-2029 ($ billion)
- Chart on Spain - Year-over-year growth 2024-2029 (%)
- Data Table on Spain - Year-over-year growth 2024-2029 (%)
- 11.6 Middle East and Africa - Market size and forecast 2024-2029
- Chart on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Data Table on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Middle East and Africa
- Data Table on Regional Comparison - Middle East and Africa
- 11.6.1 Saudi Arabia - Market size and forecast 2024-2029
- Chart on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Chart on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- Data Table on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- 11.6.2 UAE - Market size and forecast 2024-2029
- Chart on UAE - Market size and forecast 2024-2029 ($ billion)
- Data Table on UAE - Market size and forecast 2024-2029 ($ billion)
- Chart on UAE - Year-over-year growth 2024-2029 (%)
- Data Table on UAE - Year-over-year growth 2024-2029 (%)
- 11.6.3 South Africa - Market size and forecast 2024-2029
- Chart on South Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on South Africa - Year-over-year growth 2024-2029 (%)
- Data Table on South Africa - Year-over-year growth 2024-2029 (%)
- 11.6.4 Israel - Market size and forecast 2024-2029
- Chart on Israel - Market size and forecast 2024-2029 ($ billion)
- Data Table on Israel - Market size and forecast 2024-2029 ($ billion)
- Chart on Israel - Year-over-year growth 2024-2029 (%)
- Data Table on Israel - Year-over-year growth 2024-2029 (%)
- 11.6.5 Turkey - Market size and forecast 2024-2029
- Chart on Turkey - Market size and forecast 2024-2029 ($ billion)
- Data Table on Turkey - Market size and forecast 2024-2029 ($ billion)
- Chart on Turkey - Year-over-year growth 2024-2029 (%)
- Data Table on Turkey - Year-over-year growth 2024-2029 (%)
- 11.7 South America - Market size and forecast 2024-2029
- Chart on South America - Market size and forecast 2024-2029 ($ billion)
- Data Table on South America - Market size and forecast 2024-2029 ($ billion)
- Chart on South America - Year-over-year growth 2024-2029 (%)
- Data Table on South America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - South America
- Data Table on Regional Comparison - South America
- 11.7.1 Brazil - Market size and forecast 2024-2029
- Chart on Brazil - Market size and forecast 2024-2029 ($ billion)
- Data Table on Brazil - Market size and forecast 2024-2029 ($ billion)
- Chart on Brazil - Year-over-year growth 2024-2029 (%)
- Data Table on Brazil - Year-over-year growth 2024-2029 (%)
- 11.7.2 Argentina - Market size and forecast 2024-2029
- Chart on Argentina - Market size and forecast 2024-2029 ($ billion)
- Data Table on Argentina - Market size and forecast 2024-2029 ($ billion)
- Chart on Argentina - Year-over-year growth 2024-2029 (%)
- Data Table on Argentina - Year-over-year growth 2024-2029 (%)
- 11.7.3 Colombia - Market size and forecast 2024-2029
- Chart on Colombia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Colombia - Market size and forecast 2024-2029 ($ billion)
- Chart on Colombia - Year-over-year growth 2024-2029 (%)
- Data Table on Colombia - Year-over-year growth 2024-2029 (%)
- 11.8 Market opportunity by geography
- Market opportunity by geography ($ billion)
- Data Tables on Market opportunity by geography ($ billion)
12 Drivers, Challenges, and Opportunity
- 12 Drivers, Challenges, and Opportunity
- 12.1 Market drivers
- Increased efficiency and cost reduction
- Enhanced supply chain visibility and transparency
- Increased demand for real-time decision making
- 12.2 Market challenges
- Data quality and integration issues
- High implementation costs and return on investment uncertainty
- Talent gap and lack of AI expertise
- 12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 12.4 Market opportunities
- Hyperautomation in warehouses and distribution centers
- Predictive AI for enhanced risk management and resilience
- Emergence of generative AI for supply chain optimization
13 Competitive Landscape
- 13 Competitive Landscape
- 13.1 Overview
- 13.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 13.3 Landscape disruption
- Overview on factors of disruption
- 13.4 Industry risks
- Impact of key risks on business
14 Competitive Analysis
- 14 Competitive Analysis
- 14.1 Companies profiled
- 14.2 Company ranking index
- 14.3 Market positioning of companies
- Matrix on companies position and classification
- 14.4 Amazon.com Inc.
- Amazon.com Inc. - Overview
- Amazon.com Inc. - Business segments
- Amazon.com Inc. - Key news
- Amazon.com Inc. - Key offerings
- Amazon.com Inc. - Segment focus
- SWOT
- 14.5 Blue Yonder Group Inc.
- Blue Yonder Group Inc. - Overview
- Blue Yonder Group Inc. - Product / Service
- Blue Yonder Group Inc. - Key offerings
- SWOT
- 14.6 Coupa Software Inc.
- Coupa Software Inc. - Overview
- Coupa Software Inc. - Product / Service
- Coupa Software Inc. - Key offerings
- SWOT
- 14.7 E2open Parent Holdings Inc.
- E2open Parent Holdings Inc. - Overview
- E2open Parent Holdings Inc. - Product / Service
- E2open Parent Holdings Inc. - Key news
- E2open Parent Holdings Inc. - Key offerings
- SWOT
- 14.8 Fourkites Inc.
- Fourkites Inc. - Overview
- Fourkites Inc. - Product / Service
- Fourkites Inc. - Key offerings
- SWOT
- 14.9 GEP
- GEP - Overview
- GEP - Product / Service
- GEP - Key offerings
- SWOT
- 14.10 Google LLC
- Google LLC - Overview
- Google LLC - Product / Service
- Google LLC - Key offerings
- SWOT
- 14.11 Infor Inc.
- Infor Inc. - Overview
- Infor Inc. - Product / Service
- Infor Inc. - Key news
- Infor Inc. - Key offerings
- SWOT
- 14.12 International Business Machines Corp.
- International Business Machines Corp. - Overview
- International Business Machines Corp. - Business segments
- International Business Machines Corp. - Key news
- International Business Machines Corp. - Key offerings
- International Business Machines Corp. - Segment focus
- SWOT
- 14.13 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 14.14 Oracle Corp.
- Oracle Corp. - Overview
- Oracle Corp. - Business segments
- Oracle Corp. - Key news
- Oracle Corp. - Key offerings
- Oracle Corp. - Segment focus
- SWOT
- 14.15 project44
- project44 - Overview
- project44 - Product / Service
- project44 - Key offerings
- SWOT
- 14.16 SAP SE
- SAP SE - Overview
- SAP SE - Business segments
- SAP SE - Key news
- SAP SE - Key offerings
- SAP SE - Segment focus
- SWOT
- 14.17 Symbotic Inc.
- Symbotic Inc. - Overview
- Symbotic Inc. - Product / Service
- Symbotic Inc. - Key offerings
- SWOT
- 14.18 Zebra Technologies Corp.
- Zebra Technologies Corp. - Overview
- Zebra Technologies Corp. - Business segments
- Zebra Technologies Corp. - Key news
- Zebra Technologies Corp. - Key offerings
- Zebra Technologies Corp. - Segment focus
- SWOT
15 Appendix
- 15 Appendix
- 15.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 15.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 15.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 15.4 Research methodology
- 15.5 Data procurement
- 15.6 Data validation
- 15.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 15.8 Data synthesis
- 15.9 360 degree market analysis
- 360 degree market analysis
- 15.10 List of abbreviations
INFORMATION SOURCES
DATA ANALYSIS
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