The supply chain analytics market is expected to grow from USD 5.2 billion in 2022 to USD 13.5 billion by 2027, with a compound annual growth rate (CAGR) of 21.0% during this period. Supply chain analytics refers to the collection of data and information that provides insights into the logistics process, covering everything from inventory management to order fulfillment and shipment. As e-commerce continues to expand, there is mounting pressure to develop leaner supply chains while meeting customer demands for fast and cost-effective deliveries. By leveraging technology, tools, and other resources to gather real-time data on inventory movement and shipment performance, online retailers can manage their supply chains more efficiently, reduce costs, streamline operations, and enhance accuracy.
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Cloud segment to account for higher CAGR during the forecast period
The supply chain analytics market is bifurcated on the basis of cloud and on-premises. The market size of the cloud deployment mode is estimated to be larger and projected to have a higher CAGR during the forecast period. Due to its flexibility, scalability, and affordability, the cloud deployment approach is being adopted more quickly than the on-premises strategy. It gives an organization greater control over the server, infrastructure, and systems, allowing them to be set up to meet specific business needs. The cloud deployment strategy offers improved performance, more control, and fewer dangers. It also offers characteristics that are user-friendly, versatile, and economical. These solutions are easier to set up physically, need less upkeep, and are always accessible from anywhere at any time.
SMEs segment to account for higher CAGR during the forecast period
The supply chain analytics market is bifurcated on the basis of large enterprises and SMEs. The CAGR of the SMEs is estimated to be highest during the forecast period. Due to its flexibility, scalability, and lower costs, the supply chain analytics market for SMEs is predicted to grow. Supply chain analytics products and services would generate income for SMEs, produce the necessary results, and boost operational effectiveness. But still SMEs have three major obstacles, including finance, expertise, and scalability.
APAC to hold higher CAGR during the forecast period
Due to the expansion of e-commerce and real-time customer analytics, data is becoming an essential part of the supply chain ecosystem. There is a need for security since the amount of data is expanding so quickly. Organizations and governments are concentrating on a strong defence architecture in response to the rising incidence of cyberattacks and a developing cyberwar in the area. As Industry 4.0 and digital technologies develop, data is offering businesses a competitive edge, helping to address a number of supply chain sector challenges. Organizations may link and monitor every stage of the supply chain process, freely share data between departments, and get insights to improve efficiency and decision-making by implementing a digital supply chain strategy.
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Unique Features in the Supply Chain Analytics Market
A key feature of the supply chain analytics market is the ability to gather and analyze real-time data. This enables businesses to monitor the entire supply chain process, from inventory management to shipment tracking, in real-time. With immediate insights into stock levels, order status, and transportation performance, companies can make more informed and timely decisions, improving overall efficiency and responsiveness.
Predictive analytics is another critical feature that allows businesses to anticipate future trends and demands. By analyzing historical data and using algorithms to predict outcomes, supply chain analytics solutions help companies forecast demand, optimize inventory levels, and prepare for potential disruptions. This feature plays a vital role in reducing overstock, preventing stockouts, and improving supply chain agility.
Supply chain analytics tools offer advanced demand planning capabilities. These systems use data to forecast future demand and align production, inventory, and logistics accordingly. By optimizing demand planning, businesses can reduce waste, manage resources more effectively, and ensure that customer needs are met promptly. This helps in reducing costs and improving customer satisfaction.
A standout feature of modern supply chain analytics platforms is end-to-end visibility. This means that companies can track the movement of goods throughout the entire supply chain, from raw materials to the final product delivered to the customer.
Supply chain analytics platforms often integrate with cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). These technologies enhance data analysis, improve accuracy, and enable automation of various supply chain processes. AI and ML, for example, can optimize route planning and inventory management, while IoT devices provide real-time tracking of goods in transit.
Major Highlights of the Supply Chain Analytics Market
The use of predictive and prescriptive analytics is becoming a major trend in the supply chain analytics market. These advanced analytics tools help businesses anticipate demand, optimize inventory, and plan for potential disruptions. By leveraging data to forecast future scenarios, companies can enhance efficiency and ensure a smoother, more resilient supply chain.
One of the most notable highlights in the market is the growing need for real-time supply chain visibility. Businesses are increasingly adopting analytics tools that provide real-time insights into inventory levels, shipment tracking, and order fulfillment. This allows for quicker responses to challenges, improved decision-making, and enhanced customer satisfaction through timely deliveries.
Artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are playing an increasingly important role in supply chain analytics. These technologies are being integrated into analytics platforms to enhance data processing, improve the accuracy of predictions, and enable automation. AI-powered tools, for example, can optimize delivery routes, while IoT devices enable real-time tracking of goods, further boosting operational efficiency.
With growing uncertainties and global disruptions, such as the COVID-19 pandemic and geopolitical tensions, companies are placing a greater emphasis on supply chain risk management. Supply chain analytics tools are helping businesses predict potential risks and disruptions by analyzing historical data and external factors.
As e-commerce continues to grow, particularly in the context of customer expectations for faster and cheaper deliveries, companies are under pressure to create leaner, more cost-effective supply chains. Supply chain analytics solutions help businesses reduce costs, optimize logistics, and enhance operational efficiency.
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Top Companies in the Supply Chain Analytics Market
Major vendors in the global supply chain analytics market are SAP (Germany), Oracle (US), IBM (US), SAS Institute (US), Software AG (Germany), MicroStrategy (US), Tableau (US), Qlik (US), TIBCO (US), Cloudera (US), Logility (US), Savi Technology (US), Infor (US), RELEX Solutions (Finland), TARGIT(Denmark), Voxware (US), The AnyLogic Company (US), Antuit (US), Axway (US), AIMMS (Netherlands), BRIDGEi2i (India), Domo (US), Datameer (US), 1010data(US), Rosslyn Analytics(UK), Manhattan Associates (US), Salesforce (US), Zebra Technologies (US), Dataiku (US), Intugine Technologies (India), Lumachain (Australia), Hum Industrial Technology (US), Pafaxe (UK), SS Supply Chain Solutions (US), and DataFactZ (US).
The global workforce of International Business Machines Corporation (IBM) totals more than 345,000 individuals. Some of IBM’s most well-known goods and services include computer hardware, software, cloud computing, and data analytics. Providing infrastructure, hosting, and consulting services are IBM’s primary business lines. Services, Sales, and Financing are the organization’s three main business segments. IBM serves a wide range of industries, including those in the fields of aerospace and defense, education, healthcare, oil and gas, automotive, electronics, insurance, retail and consumer goods, banking and finance, energy and utilities, life science, telecommunication, media and entertainment, chemical, government, manufacturing, travel and transportation, construction, and metal and mining. In addition, IBM provides a wide range of cutting-edge products and services to fulfil the demands of commercial supply chains. The range of these solutions includes intelligent omnichannel order fulfilment optimization, inventory planning, end-to-end supply-chain visibility, transparency, and orchestration. It has a strong partner relationship with the world’s leading in IT, including Amazon, Adobe, Cisco, KPMG, Kyndryl, Microsoft, Oracle, Salesforce, Samsung, SAP, ServiceNow, and Workday. The business is present across North America, Europe, Asia Pacific, the Middle East and Africa, and Latin America.
Oracle is a world leader in providing a wide range of goods, services, and programmes that are intended to satisfy the needs of business IT environments, including platforms, programmes, and infrastructure. Businesses of all sizes, governmental organizations, academic institutions, and resellers are among Oracle’s clients. The business offers its goods and services both directly through a global sales staff and indirectly through the Oracle Partner Network. Hardware system development, production, and marketing, database and middleware software, and application software are its areas of expertise. The business offers SaaS solutions that are intended to include cutting-edge technologies including blockchain, AI, ML, and loT. It serves clients from a variety of industries, including banking, telecommunications, engineering and construction, financial services, healthcare, insurance, the government, retail, and utilities, through its three business segments, which are Cloud Services and License Support, Hardware, and Services. The business provides its solutions to clients located in the Americas, Europe, Asia Pacific, and MEA. The Oracle BI Applications product line includes Oracle Supply Chain Analytics as a subset. By integrating data from all points throughout the company value chain, it enables executives, managers, and front-line personnel to make better educated, efficient choices, assisting organisations in improving their supply-side performance. The business is implementing Oracle Supply Chain Analytics to gain a better understanding of the whole supply chain process, including in-depth analyses of supplier performance, inventory, and supplier payables. Organizations may significantly reduce costs, boost profitability, increase customer satisfaction, and gain a competitive edge by having complete end-to-end insight into the factors that impact supply chain performance.
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