Supply Chain Analytics Market Key Players, Demands, Trends, Growth Rate, CAGR and Forecasts to 2027

The supply chain analytics market is expected 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. Big data analytics has been used by a number of businesses in a variety of industries to improve tactical and real-time decision-making. As businesses want to use analytics to obtain a competitive advantage over rivals, the supply chain management sector has become one of the most popular places to use analytics solutions. The firms need assistance making decisions about crucial tactical and strategic supply chain operations, since the knowledge gained from these activities may help save costs and improve supply chains.

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The supply chain analytics market refers to the use of advanced analytical tools and technologies to analyze and improve supply chain processes. This market includes a wide range of software solutions, including supply chain management (SCM) software, transportation management systems (TMS), and warehouse management systems (WMS).

The global supply chain analytics market is expected to grow significantly in the coming years, driven by the increasing adoption of cloud-based analytics solutions, the proliferation of big data analytics, and the growing demand for real-time data analytics in the supply chain.

The report includes the study of key players offering supply chain analytics and services. It profiles major vendors in the global supply chain analytics market. The major vendors in the global supply chain analytics market 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 companies offer a range of analytics solutions that enable businesses to optimize their supply chain processes, reduce costs, and improve customer satisfaction.

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The supply chain analytics market is also expected to benefit from the increasing use of artificial intelligence (AI) and machine learning (ML) technologies, which can help businesses to automate and streamline their supply chain operations, improve forecasting accuracy, and reduce inventory levels. With the increasing importance of supply chain resilience and agility, the demand for supply chain analytics is expected to continue to grow in the coming years.

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