Supply Chain Analytics Market Size, Share with Focus on Emerging Technologies, Top Countries Data, Top Key Players Update, and Forecast 2027

Supply Chain Analytics Market Size, Share with Focus on Emerging Technologies, Top Countries Data, Top Key Players Update, and Forecast 2027
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), DataFactZ (US).TARGIT(Denmark), Voxware (US), The AnyLogic Company (US), Antuit (US), Axway (US), AIMMS (Netherlands).
Supply Chain Analytics Market Component, Software (Supplier Performance Analytics, Demand Analysis & Forecasting, and Spend & Procurement Analytics), Service, Deployment Mode, Organization Size, Vertical and Region – Global Forecast to 2027

The supply chain analytics market is projected to grow from USD 5.2 billion in 2022 to USD 13.5 billion by 2027, at a CAGR of 21.0% during the forecast period. Supply chain analytics is the term for the gathering of data and information that offers perceptions into the operation of logistics, from inventory control through order fulfilment and shipment. There is increased pressure to create a lean supply chain and satisfy customer expectations for quick, inexpensive shipment as e-commerce continues to expand. Online retailers could manage their supply chain more effectively to save costs, expedite processes, and increase accuracy by deploying technology, tools, and other resources to gather real-time data ranging from inventory movement to shipment performance.

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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.

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Unique Features in the Supply Chain Analytics Market

Using cutting-edge predictive analytics methods, including machine learning and predictive modelling, to forecast demand, spot possible hiccups, and maximise inventory levels will help you reduce risk and make proactive decisions.

Enabling enterprises to track assets, monitor shipments, and locate supply chain bottlenecks by integrating IoT sensors, RFID tags, and other tracking technologies to provide real-time visibility into supply chain operations and procedures.

Analysing and optimising supply chain network configurations, such as supplier, distribution, and route choices, using network optimisation algorithms in order to cut costs, shorten lead times, and enhance service quality.

In order to strike the ideal balance between cost and service, multi-echelon inventory optimisation models are used to optimise inventory levels across several supply chain tiers. These models take into account variables including lead times, fluctuation in demand, and service level targets.

By putting supplier performance management tools into place, businesses can evaluate suppliers’ performance using important indicators like cost, quality, and on-time delivery. This will help them discover high-performing suppliers and take proactive measures to address performance issues.

Major Highlights of the Supply Chain Analytics Market

With their scalability, flexibility, and affordability, cloud-based supply chain analytics systems are becoming more and more popular. They give businesses access to powerful analytics capabilities without requiring substantial upfront infrastructure investments.

Sustainability is becoming a more important topic in supply chain analytics. Businesses are utilising analytics tools to track and minimise their energy use, minimise their environmental effect, and encourage sustainable practices all the way down the supply chain.

In order to save costs, increase efficiency, and improve customer satisfaction, supply chain analytics solutions are being utilised to optimise logistics and transportation operations, including load planning, carrier selection, and route optimisation.

The importance of demand forecasting and planning skills in supply chain analytics solutions is growing as they help businesses better predict consumer demand, optimise inventory levels, and increase order fulfilment rates.

Real-time insight into supply chain operations is becoming more and more important. This is made possible by IoT sensors, RFID tags, and other monitoring technologies, which let businesses follow shipments, keep an eye on inventory levels, and spot possible bottlenecks or disruptions.

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Top Companies in the Supply Chain Analytics Market

Some of the key players operating in the supply chain analytics market include include 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, SS Supply Chain Solutions (US),  and DataFactZ (US). These supply chain analytics vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global supply chain analytics market.

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.

SAP is the top supplier of BI, analytics, and experience management products and services for businesses. Moreover, SAP’s solutions adhere to GDPR regulations. By the use of these technologies, businesses may create clever AI and ML-based software that combines human experience with machine-generated insights. It is a multinational corporation that offers its goods and services in important geographical areas such the Americas, Asia Pacific (including Japan), Europe, the Middle East, and Africa (EMEA). Applications, technology, and services make up the company’s diversified portfolio. It operates on an intelligent enterprise framework that combines knowledge, expertise, and a business model for operations. The firm is well recognised for providing the SAP HANA platform through its framework for the customer experience model, which enables both transactional processing for data collection and retrieval and analytical processing for business intelligence and reporting. SAP makes available its line of IoT analytics products via the intelligence business model framework. The SAP Cloud Platform, SAP Analytics Cloud, application development and integration, and intelligent technologies (IoT, ML, and blockchain) on an open cloud platform, are all part of the framework’s intelligence business model. These solutions span these four main technological categories. Selling software licenses and offering services including deployment and integration, consulting, training, and support services make up SAP’s primary business. In addition to BFSI, government, media & entertainment, and telecoms, the corporation serves a number of other industries.

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