AI In Supply Chain Management Market Size 2025-2029
The ai in supply chain management market size is forecast to increase by USD 19.4 billion, at a CAGR of 25.4% between 2024 and 2029.
The global AI in supply chain management market is shaped by the escalating demand for comprehensive visibility and transparency across the value chain. This need is addressed by the proliferation of generative AI in supply chain operations, which provides novel solutions for complex challenges. In the context of ai in warehousing and fulfillment, these technologies enable more dynamic and adaptive operational models. The integration of ai and machine learning in business processes allows for the creation of autonomous systems that can anticipate disruptions and reconfigure logistics networks in real time. This shift from reactive to proactive management is fundamental to building resilient and efficient supply chains capable of navigating an increasingly complex global marketplace.Despite these advancements, the market's progress is moderated by significant issues surrounding data. The efficacy of AI systems, including predictive ai in supply chain, is fundamentally dependent on the quality and accessibility of vast datasets. Fragmented data from disparate sources and legacy systems presents a major technical hurdle, as poor data quality leads to flawed insights and unreliable AI-driven decisions. Furthermore, evolving data security and regulatory compliance requirements add another layer of complexity. These factors can undermine the value proposition of even the most sophisticated AI tools used for generative ai in manufacturing, making robust data governance and integration strategies essential for successful implementation.
What will be the Size of the AI In Supply Chain Management 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 global AI in supply chain management market is characterized by a continuous shift toward intelligent automation and data-driven decision-making. The integration of AI technologies like machine learning for demand forecasting and computer vision in logistics is becoming standard practice. Companies are leveraging these tools to enhance predictive capabilities and optimize operations. The focus on ai and machine learning in business is driving the adoption of solutions that provide real-time visibility and proactive risk management, transforming traditional supply chains into more agile and resilient networks.Advancements in areas such as generative AI are further reshaping the landscape, offering novel solutions for complex logistical challenges. The development of digital twin simulation allows for extensive scenario planning, while autonomous mobile robots are revolutionizing ai in warehousing. These technologies, often delivered via scalable cloud-based platforms, enable more sophisticated supply chain orchestration and prescriptive analytics. The ongoing evolution of these tools ensures that the market for applied ai in retail and e-commerce continues to advance, pushing the boundaries of operational efficiency and strategic planning.
How is this AI In Supply Chain Management Industry segmented?
The ai in supply chain management 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
- Application
- Demand planning and forecasting
- Inventory management
- Transportation management
- Others
- Deployment
- Cloud-based
- On-premises
- Hybrid
- Geography
- North America
- Europe
- Germany
- UK
- France
- Italy
- Spain
- The Netherlands
- APAC
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- South America
- Middle East and Africa
- Rest of World (ROW)
By Component Insights
The software segment is estimated to witness significant growth during the forecast period.
The software segment represents the core intelligence layer of the AI in supply chain management market, providing the analytical and decision-making capabilities that drive operational improvements. It includes a diverse range of solutions for demand forecasting, inventory optimization, and logistics network design. The fundamental purpose of this software is to transform the supply chain from a reactive function into a proactive, resilient, and strategic business asset. Adoption is driven by the need for enhanced supply chain visibility and risk mitigation across complex global networks.
Advanced machine learning algorithms are a foundational element, identifying non-obvious patterns in diverse datasets to generate highly accurate demand forecasts. AI-powered logistics software enables dynamic route optimization, which can reduce transportation costs by up to 30%. The emergence of generative AI is introducing a paradigm shift toward more interactive and creative applications. These new tools offer natural language interfaces that democratize data analysis, allowing planners to run complex what-if scenarios and accelerate strategic decision-making through cognitive automation.

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The Software segment was valued at USD 3.2 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis
North America is estimated to contribute 32.6% 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 market is a leading adopter of AI in supply chain management, characterized by a robust technological infrastructure and a high concentration of leading solution providers. Companies throughout the region are increasingly integrating AI to enhance operational efficiency and improve demand forecasting accuracy, gaining a competitive edge. A primary factor is the escalating demand for greater visibility and transparency in supply chain data and processes, which is met by advanced AI-powered platforms providing features like real-time shipment tracking.
The drive to innovate is compelling companies in North America to adopt technologies like AI to maintain market leadership and address challenges such as labor shortages in manufacturing and logistics. Despite its mature status, the overall digital maturity of supply chain management in the region is only 36%, indicating substantial opportunity for deeper integration. Businesses are focusing on AI for route optimization, warehouse automation, and predictive maintenance to further streamline operations and build more resilient supply networks.
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 market for AI in supply chain is expanding rapidly, with diverse AI applications in supply chain management revolutionizing operations. Companies are leveraging machine learning for demand forecasting to enhance accuracy and are using digital twins for supply chain optimization to model complex scenarios. The emergence of generative AI for logistics route planning and the critical use of predictive analytics for supply chain resilience are transforming how businesses respond to disruptions. Furthermore, autonomous robotics in warehouse automation and the increasing role of computer vision in logistics are driving efficiency, which is essential for improving supply chain visibility with AI and implementing sophisticated AI-driven inventory management strategies. The push towards hyper-automation in supply chain operations highlights this potential.Successfully building a business case for AI in supply chain requires addressing key hurdles. The primary challenges of AI implementation in logistics include integrating AI with legacy ERP systems and ensuring robust data security for AI in supply chains. Firms must also navigate the ethical considerations of AI in supply chain. To facilitate adoption, many are turning to cloud-based AI platforms for logistics, which assist with everything from natural language processing for procurement to AI for predictive maintenance in fleet management. Ultimately, the goals are AI for reducing supply chain transportation costs and optimizing the impact of AI on last-mile delivery.

What are the key market drivers leading to the rise in the adoption of AI In Supply Chain Management Industry?
- The escalating demand for comprehensive visibility and transparency across the entire value chain is a primary driver for the market.
The increasing demand for comprehensive visibility and transparency across the value chain is a primary factor in the market. Organizations require real-time insights into the status and movement of goods to foster greater trust among partners and customers. This need is driven by the complexity of global logistics networks and the necessity for robust risk mitigation strategies. AI-powered solutions, including supply chain visibility and risk sensing platforms, enable businesses to achieve a granular level of insight by integrating data from disparate sources. This holistic view of supply chain orchestration allows for more agile and informed decision-making, helping to create a more cohesive and transparent ecosystem. The goal is to move beyond traditional tracking methods toward intelligent, data-driven operational models.The rapid expansion of the global e-commerce sector is a powerful catalyst for AI integration in supply chain management. Shifting consumer expectations for rapid, personalized delivery have placed unprecedented strain on traditional fulfillment and logistics models. E-commerce necessitates a supply chain that is not only fast and efficient but also agile enough to manage fluctuating demand. While 75% of companies are adopting AI to address these challenges, a significant workforce skills gap persists. AI technologies such as demand sensing technology and route optimization algorithms are critical for optimizing everything from demand forecasting and warehouse automation to last-mile delivery, enabling businesses to meet high consumer expectations and maintain a competitive edge.
What are the market trends shaping the AI In Supply Chain Management Industry?
- The widespread integration of generative AI into supply chain operations is a key upcoming market trend.
The extensive integration of generative AI is fundamentally altering strategic and operational paradigms in supply chain management. Unlike traditional analytical AI, this technology can produce novel solutions for complex challenges, such as designing resilient logistics network design or generating optimized logistics routes. By analyzing diverse datasets including market trends and risk factors, it enables the creation of highly accurate predictive models and contingency plans. Companies are leveraging this capability to move beyond mere optimization toward truly autonomous and adaptive supply chains. This shift is particularly impactful in generative ai in manufacturing, where it can enhance production planning and resource allocation, creating more agile and responsive operations.The increasingly sophisticated application of AI-powered predictive analytics is enabling a shift from reactive to proactive supply chain management. By harnessing machine learning algorithms to analyze historical and real-time inputs, organizations can forecast potential disruptions with high accuracy. This capability is critical for optimizing efficiency, as it enhances demand forecasting to prevent stockouts and informs predictive maintenance schedules to minimize downtime. The trend toward intelligent automation is strong, with one study revealing that 52% of warehouse managers plan to increase spending on automation and robotics. This adoption of predictive ai in supply chain and ai in warehousing creates a data-driven ecosystem that anticipates future challenges and improves resilience.
What challenges does the AI In Supply Chain Management Industry face during its growth?
- Significant challenges related to data security, seamless system integration, and adherence to regulatory compliance affect market growth.
A primary challenge is the multifaceted issue of data security, integration, and regulatory compliance. The effectiveness of AI systems is fundamentally contingent upon the quality and accessibility of vast datasets. However, supply chains generate enormous volumes of data from disparate sources, and integrating these often-siloed datasets into a cohesive, ai-ready data format is a significant technical and financial hurdle. Many organizations rely on legacy systems that are not compatible with modern AI technologies, making seamless data integration a costly process. Furthermore, ensuring data accuracy is paramount, as poor quality leads to flawed insights from procurement automation systems and other intelligent tools, undermining the entire value proposition.The substantial financial commitment required for AI deployment, coupled with uncertain return on investment, constitutes a major barrier to adoption. Initial costs extend beyond software to include robust computing infrastructure, data management systems, and complex integration with existing platforms. This is particularly prohibitive for small and medium-sized enterprises. While early adopters have reported significant benefits, such as a 15% reduction in logistics costs, these results are not universally guaranteed. The path to achieving a positive ROI involves navigating pitfalls like data integration complexities and the need for organizational change, making a compelling business case with clear payback metrics essential for securing investment.
Exclusive Customer Landscape
The ai in supply chain management 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 supply chain management 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 supply chain management market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
Alibaba Group Holding Ltd. - Key offerings in the market consist of advanced AI-powered platforms and solutions designed to enhance end-to-end supply chain operations. These offerings typically deliver capabilities such as intelligent demand forecasting, dynamic inventory optimization, and comprehensive logistics orchestration. By leveraging technologies like machine learning, digital twins, and predictive analytics, they provide deep visibility across the value chain, enabling proactive risk management and improved decision-making. Solutions often focus on optimizing transportation networks, automating warehouse processes, and ensuring resilient and efficient supply chain performance through real-time data analysis and cognitive automation.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
- Alibaba Group Holding Ltd.
- Amazon Web Services Inc.
- Blue Yonder Group Inc.
- Coupa Software Inc.
- Descartes Systems Group Inc.
- DHL International GmbH
- E2open Parent Holdings Inc.
- Fourkites Inc.
- Google LLC
- Infor Inc.
- International Business Machines Corp.
- Kinaxis Inc.
- Manhattan Associates Inc.
- Microsoft Corp.
- Oracle Corp.
- Samsung SDS
- SAP SE
- Siemens AG
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 Supply Chain Management Market
In May 2024, Blue Yonder expanded its collaboration with Microsoft to integrate Microsoft Azure OpenAI Service into its Luminate Platform, aiming to embed generative AI capabilities directly into core supply chain workflows.In April 2024, goFlux, a Brazilian AI-powered logistics platform, successfully raised USD 6 million in a Series A funding round to expand its operations and further develop its technology for the freight market.In March 2024, NVIDIA announced its next-generation AI platform, Blackwell, featuring the GB200 Grace Blackwell Superchip, designed to power extremely large and complex AI models, enabling more sophisticated supply chain simulations and digital twins.In February 2024, project44, a leader in real-time transportation visibility, launched Movement GPT, a generative AI capability integrated into its Movement platform to function as an intelligent, conversational assistant for logistics professionals.
Research Analyst Overview
The global AI in supply chain management market is transforming core operational frameworks through the application of cognitive automation tools and hyper-automation. Enterprises deploy machine learning algorithms to refine demand forecasting models and inventory optimization techniques, enabling a shift toward ai-driven demand planning. Supported by demand sensing technology, this allows for precise management of multi-echelon inventory. Prescriptive analytics engines guide collaborative planning and intelligent order promising, while procurement automation systems and ai-powered spend analytics improve sourcing. Risk sensing platforms are integral for supplier risk assessment, contributing to a more resilient cognitive supply chain and enhanced supply chain orchestration.Evolution within the global AI in supply chain management market is apparent in logistics, where an adoption increase of over 45% is anticipated. Advanced route optimization algorithms and load consolidation techniques are refining logistics network design and last-mile delivery optimization. The integration of real-time shipment tracking with predictive eta calculation enhances supply chain visibility through a unified supply chain control tower and data integration platforms. Inside facilities, warehouse management systems are augmented by autonomous mobile robots, intelligent robotics, and automated guided vehicles. Computer vision applications and natural language processing interact with digital twin simulation to optimize workflows.
Dive into Technavio’s robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled AI In Supply Chain Management Market insights. See full methodology.
Market Scope
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Report Coverage
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Details
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Page number
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302
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Base year
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2024
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Historic period
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2019 - 2023 |
Forecast period
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2025-2029
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Growth momentum & CAGR
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Accelerating at a CAGR of 25.4%
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Market growth 2024-2029
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USD 19.4 billion
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Market structure
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Fragmented
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YoY growth 2024-2029(%)
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22.6%
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Key countries
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US, Canada, Mexico, Germany, UK, France, Italy, Spain, The Netherlands, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Argentina, Colombia, UAE, Saudi Arabia, South Africa, Israel, Egypt
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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 Supply Chain Management Market Research and Growth Report?
- CAGR of the AI In Supply Chain Management 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, Europe, APAC, South America, Middle East and Africa
- Thorough analysis of the market’s competitive landscape and detailed information about companies
- Comprehensive analysis of factors that will challenge the ai in supply chain management 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 Application
- Executive Summary - Chart on Market Segmentation by Deployment
- 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 Supply Chain Management Market 2019 - 2023
- Historic Market Size - Data Table on Global AI In Supply Chain Management Market 2019 - 2023 ($ billion)
- 5.2 Component segment analysis 2019 - 2023
- Historic Market Size - Component Segment 2019 - 2023 ($ billion)
- 5.3 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ billion)
- 5.4 Deployment segment analysis 2019 - 2023
- Historic Market Size - Deployment 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 Software - Market size and forecast 2024-2029
- Chart on Software - Market size and forecast 2024-2029 ($ billion)
- Data Table on Software - Market size and forecast 2024-2029 ($ billion)
- Chart on Software - Year-over-year growth 2024-2029 (%)
- Data Table on Software - 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 Hardware - Market size and forecast 2024-2029
- Chart on Hardware - Market size and forecast 2024-2029 ($ billion)
- Data Table on Hardware - Market size and forecast 2024-2029 ($ billion)
- Chart on Hardware - Year-over-year growth 2024-2029 (%)
- Data Table on Hardware - Year-over-year growth 2024-2029 (%)
- 7.6 Market opportunity by Component
- Market opportunity by Component ($ billion)
- Data Table on Market opportunity by Component ($ billion)
8 Market Segmentation by Application
- 8 Market Segmentation by Application
- 8.1 Market segments
- Chart on Application - Market share 2024-2029 (%)
- Data Table on Application - Market share 2024-2029 (%)
- 8.2 Comparison by Application
- Chart on Comparison by Application
- Data Table on Comparison by Application
- 8.3 Demand planning and forecasting - Market size and forecast 2024-2029
- Chart on Demand planning and forecasting - Market size and forecast 2024-2029 ($ billion)
- Data Table on Demand planning and forecasting - Market size and forecast 2024-2029 ($ billion)
- Chart on Demand planning and forecasting - Year-over-year growth 2024-2029 (%)
- Data Table on Demand planning and forecasting - Year-over-year growth 2024-2029 (%)
- 8.4 Inventory management - Market size and forecast 2024-2029
- Chart on Inventory management - Market size and forecast 2024-2029 ($ billion)
- Data Table on Inventory management - Market size and forecast 2024-2029 ($ billion)
- Chart on Inventory management - Year-over-year growth 2024-2029 (%)
- Data Table on Inventory management - Year-over-year growth 2024-2029 (%)
- 8.5 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 (%)
- 8.6 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 (%)
- 8.7 Market opportunity by Application
- Market opportunity by Application ($ billion)
- Data Table on Market opportunity by Application ($ billion)
9 Market Segmentation by Deployment
- 9 Market Segmentation by Deployment
- 9.1 Market segments
- Chart on Deployment - Market share 2024-2029 (%)
- Data Table on Deployment - Market share 2024-2029 (%)
- 9.2 Comparison by Deployment
- Chart on Comparison by Deployment
- Data Table on Comparison by Deployment
- 9.3 Cloud-based - Market size and forecast 2024-2029
- Chart on Cloud-based - Market size and forecast 2024-2029 ($ billion)
- Data Table on Cloud-based - Market size and forecast 2024-2029 ($ billion)
- Chart on Cloud-based - Year-over-year growth 2024-2029 (%)
- Data Table on Cloud-based - Year-over-year growth 2024-2029 (%)
- 9.4 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 (%)
- 9.5 Hybrid - Market size and forecast 2024-2029
- Chart on Hybrid - Market size and forecast 2024-2029 ($ billion)
- Data Table on Hybrid - Market size and forecast 2024-2029 ($ billion)
- Chart on Hybrid - Year-over-year growth 2024-2029 (%)
- Data Table on Hybrid - Year-over-year growth 2024-2029 (%)
- 9.6 Market opportunity by Deployment
- Market opportunity by Deployment ($ billion)
- Data Table on Market opportunity by Deployment ($ 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 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
- 11.4.1 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 (%)
- 11.4.2 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 (%)
- 11.4.3 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 (%)
- 11.4.4 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 (%)
- 11.4.5 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 (%)
- 11.4.6 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 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
- 11.5.1 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 (%)
- 11.5.2 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 (%)
- 11.5.3 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 (%)
- 11.5.4 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 (%)
- 11.5.5 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 (%)
- 11.5.6 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 (%)
- 11.6 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
- 11.6.1 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 (%)
- 11.6.2 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 (%)
- 11.6.3 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 (%)
- 11.7 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
- 11.7.1 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 (%)
- 11.7.2 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 (%)
- 11.7.3 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 (%)
- 11.7.4 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 (%)
- 11.7.5 Egypt - Market size and forecast 2024-2029
- Chart on Egypt - Market size and forecast 2024-2029 ($ billion)
- Data Table on Egypt - Market size and forecast 2024-2029 ($ billion)
- Chart on Egypt - Year-over-year growth 2024-2029 (%)
- Data Table on Egypt - 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
- Increasing demand for enhanced visibility and transparency
- Proliferation of e-commerce and shifting consumer expectations
- Imperative for cost reduction and enhanced operational efficiency
- 12.2 Market challenges
- Data security, integration, and regulatory compliance
- High implementation costs and uncertain return on investment
- Talent gap and workforce transformation
- 12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 12.4 Market opportunities
- Proliferation of generative AI in supply chain operations
- Advanced predictive analytics for enhanced resilience and efficiency
- Hyper-automation and rise of intelligent robotics
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 Alibaba Group Holding Ltd.
- Alibaba Group Holding Ltd. - Overview
- Alibaba Group Holding Ltd. - Business segments
- Alibaba Group Holding Ltd. - Key news
- Alibaba Group Holding Ltd. - Key offerings
- Alibaba Group Holding Ltd. - Segment focus
- SWOT
- 14.5 Amazon Web Services Inc.
- Amazon Web Services Inc. - Overview
- Amazon Web Services Inc. - Product / Service
- Amazon Web Services Inc. - Key news
- Amazon Web Services Inc. - Key offerings
- SWOT
- 14.6 Blue Yonder Group Inc.
- Blue Yonder Group Inc. - Overview
- Blue Yonder Group Inc. - Product / Service
- Blue Yonder Group Inc. - Key offerings
- SWOT
- 14.7 Coupa Software Inc.
- Coupa Software Inc. - Overview
- Coupa Software Inc. - Product / Service
- Coupa Software Inc. - Key offerings
- SWOT
- 14.8 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
- 14.9 Fourkites Inc.
- Fourkites Inc. - Overview
- Fourkites Inc. - Product / Service
- Fourkites Inc. - 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 Kinaxis Inc.
- Kinaxis Inc. - Overview
- Kinaxis Inc. - Product / Service
- Kinaxis Inc. - Key news
- Kinaxis Inc. - Key offerings
- SWOT
- 14.14 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 14.15 Oracle Corp.
- Oracle Corp. - Overview
- Oracle Corp. - Business segments
- Oracle Corp. - Key news
- Oracle Corp. - Key offerings
- Oracle Corp. - Segment focus
- SWOT
- 14.16 Samsung SDS
- Samsung SDS - Overview
- Samsung SDS - Product / Service
- Samsung SDS - Key offerings
- SWOT
- 14.17 SAP SE
- SAP SE - Overview
- SAP SE - Business segments
- SAP SE - Key news
- SAP SE - Key offerings
- SAP SE - Segment focus
- SWOT
- 14.18 Siemens AG
- Siemens AG - Overview
- Siemens AG - Business segments
- Siemens AG - Key news
- Siemens AG - Key offerings
- Siemens AG - 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