A DataSet of Supply Chains used by the company DataCo Global was used for the analysis. Dataset of Supply Chain , which allows the use of Machine Learning Algorithms and R Software. Areas of important registered activities : Provisioning , Production , Sales , Commercial Distribution.It also allows the correlation of Structured Data with Unstructured Data for knowledge generation.

Type Data : Structured Data : DataCoSupplyChainDataset.csv Unstructured Data : tokenized_access_logs.csv (Clickstream)

Types of Products : Clothing , Sports , and Electronic Supplies

Additionally it is attached in another file called DescriptionDataCoSupplyChain.csv, the description of each of the variables of the DataCoSupplyChainDatasetc.csv.

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Supply Chain Analytics Market Size 2024-2028

The supply chain analytics market size is forecast to increase by USD 10.38 billion at a CAGR of 19.28% between 2023 and 2028.

The market is experiencing significant growth due to the increasing need to optimize business processes and enhance operational efficiency. A key driver is the increased adoption of predictive analytics in the supply chain, enabling organizations to anticipate demand and proactively manage inventory. However, challenges persist in implementing supply chain analytics, including data integration and security concerns. In the context of e-commerce and fleet management, real-time data analysis is crucial for effective order fulfillment and fleet optimization. Market trends include the integration of machine learning algorithms and the use of cloud-based solutions for data processing and storage. Overall, the market presents opportunities for businesses to gain a competitive edge through data-driven insights and improved decision-making.

What will be the Size of the Supply Chain Analytics Market During the Forecast Period?

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The global supply chain management software market is experiencing significant growth due to the increasing digitization of business operations and the demand for customized solutions. Logistics optimization, cost optimization, and network design are key focus areas, with businesses seeking cost-efficient solutions to enhance their supply chain performance. Automation plays a crucial role in improving efficiency and enabling data-driven decision-making, while customer loyalty and strategy are also driving market growth.
Traceability, finance, and performance metrics are essential elements of supply chain analytics, providing valuable insights into inventory transactions, transportation management, and warehouse management. Cost reduction is a primary objective, with companies addressing security breaches and disruptions through consulting services and innovation. Sustainability, demand planning, and resilience are emerging trends, with a focus on cost savings, management software, and optimization. Procurement optimization, training, logistics management, and CRM systems are also integral to the market's development.

How is this Supply Chain Analytics Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Deployment

  Cloud-based
  On-premises


End-user

  Retail
  Manufacturing
  Transportation
  Healthcare
  Others


Geography

  North America

    US


  Europe

    Germany
    UK
    France


  APAC

    China


  Middle East and Africa



  South America

By Deployment Insights

The cloud-based segment is estimated to witness significant growth during the forecast period.

Cloud-based supply chain analytics enables organizations to adapt to their expanding analytics requirements and data volumes through on-demand resources. Eliminating the need for significant upfront investments in hardware and infrastructure, cloud solutions offer a pay-as-you-go model, ensuring cost savings and predictable budgeting. Remote access to analytics tools and data fosters collaboration among stakeholders, enhancing communication and informed decision-making. Real-time data analysis facilitates timely responses to supply chain challenges, such as elevated warehousing costs, data loss, demand-supply gaps, and customer requirements. Cloud-based analytics optimizes resource utilization, business growth, and performance, addressing inventory risks, procurement transactions, and retail trends.

Additionally, it integrates with ERP systems, warehouse management systems, SCM strategies, procurement analytics, artificial intelligence, and big data technologies to improve business productivity, efficiency, and manufacturing processes. Cloud solutions address waste minimization, economic viability, and unethical activities, ensuring accountability for large enterprises.

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The Cloud-based segment was valued at USD 2.47 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 38% 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 American market is projected to expand due to the region's technological advancements and complex business environments. Advanced analytics technologies, such as arti

Dataset is divided into 7 tables, one table for all orders that needs to be assigned a route – OrderList table, and 6 additional files specifying the problem and restrictions. For instance, the FreightRates table describes all available couriers, the weight gaps for each individual lane and rates associated. The PlantPorts table describes the allowed links between the warehouses and shipping ports in real world. Furthermore, the ProductsPerPlant table lists all supported warehouse-product combinations. The VmiCustomers lists all special cases, where warehouse is only allowed to support specific customer, while any other non-listed warehouse can supply any customer. Moreover, the WhCapacities lists warehouse capacities measured in number of orders per day and the WhCosts specifies the cost associated in storing the products in given warehouse measured in dollars per unit.Order ID is ID of the order made by the customer, product ID is the specific product ID customer ordered."tpt_day_cnt" in the FrieghtRates table means transportation day count, i.e. estimated shipping time. WhCapacities correspond to the number of orders. For example, let's say Customer 1 requests 10 units of X, Customer 2 requests 20 units of Y. The total number of orders is 2, thus total capacity in "whCapacity" is 2.WhCapacities table is the maximum number of orders that can be processed per each plant, it is not dependant on specific products.The OrderList contains historical records of how the orders were routed and demand satisfied. The whCapacities and rest of the tables are the current state constraints of the network. Thus, we can calculate the costs of historical network and also optimize for the new constraints. In order to build Linear Programming (LP) model, you would take the following from the OrderList: the product ID that needs to be shipped, the destination port, unit quantity (for cost) and unit weight (for weight constraints). And then use the limits of those constraints from other tables.Questions: There is a Carrier V44_3 in OrderList table, but it is missing in the FreightRates table? V44_3 is a carrier that was historically used for supplying given demand, but since it has been discontinued and therefore do not appear in the Freight Rates List. Also, all of the V44_3 instances are CRF - i.e. customer arranges their own shipping and hence cost is not calculated either way.

The supply chain management market size is projected to grow from USD 31.27 billion in 2024 to USD 94.71 billion by 2035, representing a CAGR of 10.60%, during the forecast period till 2035.

This dataset provides supply chain health commodiy shipment and pricing data. Specifically, the data set identifies Antiretroviral (ARV) and HIV lab shipments to supported countries. In addition, the data set provides the commodity pricing and associated supply chain expenses necessary to move th ecommodities to countries for use.

The number of supply chain disruptions worldwide is on the rise. In 2021, this number amounted to 11,642 supply chain chain disruptions worldwide. North America was the region with the highest share of disruptive events.

The size of the Supply Chain Management Market market was valued at USD 23.26 billion in 2023 and is projected to reach USD 48.90 billion by 2032, with an expected CAGR of 11.2 % during the forecast period. The supply chain management (SCM) market is made up of technologies and services that help in the planning, management and execution of supply chain with its key subsystems of materials, services, information and cash. Some of the systems include those for, logistics, supply chain inventory, procurement, and demand planning. SCM is vital in improving on operational performance, cost reduction and in meeting the customer needs. Uses are in manufacturing, retailing, and in health care domain among others. Today’s trends include the use of innovative technologies – Artificial Intelligence, Machine Learning and Blockchain for improved transparency, real-time tracking and analytics-based predicting. Because of e commerce ad globalization the supply chain is continuously on the look out for more advanced and developed SCM that can effectively and efficiently work with more complicated and constantly changing supply networks. Recent developments include: In May 2023, Accenture and Blue Yonder, Inc. announced the expansion of their strategic partnership to enhance organizations' supply chains by leveraging Accenture's technology and industry expertise. Accenture's cloud-native platform engineers and industry experts will collaborate with Blue Yonder to develop new solutions on the Blue Yonder Luminate Platform, offering end-to-end supply chain synchronization. The partnership aimed to help clients achieve a more modular, digitized, and agile supply chain of the future through co-innovation and the Vertical of emerging technologies such as generative artificial intelligence and robotics process automation. , In April 2023, Oracle introduced advanced artificial intelligence (AI) and automation capabilities designed to assist customers in optimizing their supply chain management processes. These new features leveraged AI and automation technologies to enhance efficiency, streamline operations, and enable better decision-making within supply chain management for its customers. The updates included improved quote-to-cash procedures in Oracle Fusion Vertical s and new planning, usage-based pricing, and rebate management features in Oracle Fusion Cloud Supply Chain & Manufacturing (SCM). .

The asset contains commodity shipment data describing all anti-retroviral and rapid test kit shipments into PEPFAR countries. Included are SCMS’ transactions, not all purchases made under PEPFAR. The data are not intended to determine lead times or total landed cost because a single order may have different freight costs, points of origin, or delivery dates (e.g., emergency orders). Not all orders include cost of freight and/or insurance. None of the data include costs of customs clearance, security, or in-country distribution costs. See more information in the “Data Dictionary”.

The supply chain management market revenue totaled ~US$ 25.7 Billion for 2023, according to Future Market Insights (FMI’s) latest study. The overall market is expected to reach ~US$ 78.5 Billion by 2033, growing at a CAGR of 11.8% from 2023 to 2033.

Attributes	Details
Supply Chain Management Market Value (2023)	US$ 25.7 Billion
Supply Chain Management Market Forecast Value (2033)	US$ 78.5 Billion
Supply Chain Management Market CAGR (2023 to 2033)	11.8%

2018 to 2022 Supply Chain Management Demand Outlook Compared to 2023 to 2033 Forecast

Historical CAGR (2017 to 2022)	8.9%
Forecast CAGR (2023 to 2033)	11.8%

Supply Chain Management Market: Country-wise Insights

Country	USA
CAGR (2023 to 2033)	9.6%
Market Size (2033)	US$ 16.6 Billion

Country	United Kingdom
CAGR (2023 to 2033)	11.5%
Market Size (2033)	US$ 3.5 Billion

Country	China
CAGR (2023 to 2033)	11.8%
Market Size (2033)	US$ 8 Billion

Country	Japan
CAGR (2023 to 2033)	14.9%
Market Size (2033)	US$ 6.7 Billion

Country	South Korea
CAGR (2023 to 2033)	10.1%
Market Size (2033)	US$ 2.2 Billion

Attributes	Details
Market Size (2033)	US$ 16.6 Billion
Market Absolute Dollar Growth (US$ Billion/Billion)	US$ 10 Billio

Historical CAGR (2017 to 2022)	7.1%
Forecast CAGR (2023 to 2033)	9.6%

Attributes	Details
Market Size (2033)	US$ 6.7 Billion
Market Absolute Dollar Growth (US$ Billion/Billion)	US$ 5 Billion

Historical CAGR (2017 to 2022)	12.3%
Forecast CAGR (2023 to 2033)	14.9%

Supply Chain Management Market: Category-wise Insights

Taxonomy	Solution
Top Segment	Software
Forecast CAGR	12.8%

Taxonomy	Enterprise Size
Top Segment	Large Enterprises
Forecast CAGR	11.6%

Historical CAGR (2017 to 2022)	8.4%
Forecast CAGR (2023 to 2033)	11.6%

Sample purchasing data containing information on suppliers, the products they provide, and the projects those products are used for. Data created or adapted from publicly available sources.

The supply chain analysis market size is predicted to reach $7.68 billion in 2024 to $47.96 billion by 2035, growing at a CAGR of 18.12% from 2024 to 2035.

Dataset containing detailed information about all health commodity orders delivered through the USAID Global Health Supply Chain Program - Procurement and Supply Management (GHSC-PSM) project. This includes orders funded through PEPFAR, PMI, family planning / reproductive health, maternal and child health, COVID-19, and other USAID and USG programs.

Supply Chain Management (SCM) Market size was valued at USD 35.74 Billion in 2024 and is projected to reach USD 78.42 Billion by 2031, growing at a CAGR of 10.32% during the forecast period 2024-2031.

Global Supply Chain Management (SCM) Market Drivers

The market drivers for the Supply Chain Management (SCM) Market can be influenced by various factors. These may include:

Globalization and International Trade: The demand for reliable supply chain management (SCM) solutions is driven by the growth of international trade and the rising globalization of supply chains. Efficient supply chain management systems are necessary for businesses that operate in numerous countries in order to manage inventories, optimize logistics, and coordinate activities across intricate worldwide networks.

E-commerce and Omnichannel Retailing: In order to satisfy customer needs for quick, dependable, and seamless order fulfillment, agile and flexible SCM solutions are required given the explosive expansion of e-commerce platforms and omnichannel retailing models. Retailers, manufacturers, and logistics companies can improve customer happiness, control inventory levels, and streamline supply chain procedures with the use of SCM software.

Demand for Real-time Transparency and Visibility: Those involved in supply chains want to be able to see real-time information on order fulfillment procedures, shipment status, and inventory levels. SCM technologies provide for end-to-end visibility, traceability, and data-driven decision-making throughout the whole supply chain ecosystem. Examples of these technologies include blockchain, Internet of Things (IoT), and RFID tracking.

Emphasis on Cost Optimization and Efficiency: Through efficient SCM procedures, companies aim to minimize operational inefficiencies, maximize supply chain expenses, and boost profitability. In order to achieve cost savings and operational efficiency, SCM solutions assist businesses in minimizing the costs associated with maintaining inventory, cutting down on transportation costs, and optimizing production scheduling.

Risk Mitigation and Resilience Planning: Demand for Supply Chain Management (SCM) solutions that improve risk mitigation and resilience planning is driven by heightened awareness of supply chain risks, interruptions, and vulnerabilities. In order to lessen the effects of interruptions like natural disasters, geopolitical crises, and supply chain disruptions, supply chain management software (SCM) offers proactive risk identification, scenario analysis, and contingency planning.

Stressing Corporate Social Responsibility (CSR) and Sustainability: Increasing focus on CSR, ethical sourcing, and sustainability affects supply chain management techniques and tactics. Supply chain visibility, compliance monitoring, and sustainability reporting are made possible by SCM systems, which also support ethical procurement, environmental stewardship, and sustainable sourcing.

Technological Development and Digital Transformation: Digital transformation efforts in supply chain management are propelled by the quick developments in artificial intelligence (AI), machine learning (ML), and big data analytics. In order to optimize supply chain operations, increase forecast accuracy, and strengthen decision-making capabilities, advanced SCM platforms make use of AI-driven insights, predictive analytics, and prescriptive optimization algorithms.
Trade rules and regulatory compliance: Supply chain management faces difficulties in adhering to industry standards, trade regulations, and regulatory obligations. SCM solutions assist businesses in navigating complicated regulatory environments, guaranteeing adherence to trade agreements, tariffs, and customs laws, and reducing the risk of supply chain disruptions and noncompliance.

Customer Experience and Service Level Expectations: Agile and responsive supply chains are required to meet the growing demands of customers for prompt delivery, customized experiences, and smooth order fulfillment. Through effective supply chain management, SCM solutions help businesses achieve customer service level agreements (SLAs), accurately and promptly fulfill orders, and improve the entire customer experience.

Partnerships and Collaboration in Supply Chain Networks: To maximize the performance and agility of the supply chain, partnerships and collaboration are crucial between suppliers, manufacturers, distributors, and logistics companies. Supply chain visibility, responsiveness, and resilience can be increased by trading partners working together, exchanging information, and coordinating activities through SCM systems.

Global supply chain insights on more than 9 million companies and over 2 billion shipment records.

The global supply chain pressure index reached -0.85 points in April 2024, down from -0.3 points in the previous month. After the challenging conditions caused by the COVID-19 pandemic, the supply chain pressure index has returned to the pre-pandemic levels.

The company which provided the dataset is the world leader in manufacturing of construction and mining equipment, diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. The current revenue of the company is estimated to be on the order of tens of billions and they sell products and parts via a worldwide dealer network. The company sells more than 3 million products and 700,000 parts in more than 20 countries around the world every year. They operate with more than 3,000 suppliers and 3,000 dealerships and their logistics operations alone are worth more than 60 million dollars per year. The dataset provided is one example of supply chain problem for one product of the company - a medium size excavator. In the current dataset, the number of dealers, production facilities and shipping ports is the same as in the original problem; it is only the demand figures, the production capacities, the transportation times and costs and the sale prices that have been randomly generated. The figures have been randomly generated in an interval between 0 and an upper limit which is a random increase over the maximum value in the original data, according to a negative exponential distribution.

The supply chain analytics market is likely to record a strong CAGR of 15.1% during the forecast period. As of 2024, the market is valued at USD 7.8 billion. It is slated to surpass USD 31.7 billion by the end of 2034.

Attributes	Description
Estimated Global Supply Chain Analytics Market Size (2024E)	USD 7.8 billion
Projected Global Supply Chain Analytics Market Value (2034F)	USD 31.7 billion
Value-based CAGR (2024 to 2034)	15.1%

Supply Chain Planning System of Record Market size was valued at USD 8.4 Billion in 2024 and is projected to reach USD 25.6 Billion by 2031, growing at a CAGR of 10.6% during the forecast period 2024-2031.

Global Supply Chain Planning System of Record Market Drivers

Increasing Complexity of Supply Chains: Modern supply chains are becoming more complex due to globalization, diverse product ranges, and intricate logistics. This complexity necessitates advanced planning systems that can handle and optimize multifaceted supply chain operations.

Demand for Real-Time Data and Analytics: Companies are increasingly recognizing the value of real-time data and advanced analytics for making informed decisions. SCP SOR solutions provide real-time visibility into supply chain activities, enabling proactive management and improved decision-making.

Need for Integrated Solutions: The push towards integrated supply chain solutions that can synchronize various functions—such as procurement, production, inventory, and distribution—drives the adoption of SCP SOR systems. These systems offer a holistic view and coordination across the entire supply chain.

Technological Advancements: Innovations in technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) enhance the capabilities of SCP SOR solutions. These technologies enable predictive analytics, automation, and enhanced forecasting, improving supply chain efficiency and resilience.

E-commerce Growth: The rapid growth of e-commerce demands more agile and responsive supply chain planning systems. SCP SOR solutions help manage the increased volume and velocity of orders, ensuring timely fulfillment and efficient inventory management.

Supply Chain Disruptions: The COVID-19 pandemic and other recent global events have highlighted the vulnerability of supply chains to disruptions. Businesses are investing in SCP SOR solutions to build more resilient and adaptive supply chains that can respond quickly to unforeseen events.

Sustainability and Ethical Sourcing: Increasing emphasis on sustainability and ethical sourcing requires transparent and traceable supply chains. SCP SOR systems provide the necessary tools to track and manage sustainability metrics and ensure compliance with ethical standards.

Regulatory Compliance: Adherence to various regulatory requirements, such as customs regulations, trade tariffs, and industry-specific standards, drives the need for sophisticated planning systems. SCP SOR solutions help businesses navigate and comply with these regulations effectively.

Cost Optimization: Companies aim to reduce operational costs and improve margins through better supply chain planning. SCP SOR systems optimize inventory levels, reduce excess stock, and streamline logistics, leading to significant cost savings.

Enhanced Collaboration: The need for improved collaboration and communication among supply chain partners drives the adoption of SCP SOR solutions. These systems facilitate better coordination between suppliers, manufacturers, and distributors, enhancing overall supply chain performance.

The Global IoT for Supply Chain Management Market Size Was Worth USD 21.38 Billion in 2023 and Is Expected To Reach USD 57.6 Billion by 2032, CAGR of 13%.

The global supply chain analytics market size is expected to reach USD 34372.85 million by 2032 according to a new study by Polaris Market Research.