Global Supply Chain Analytics Market

Supply Chain Analytics Market Size, Share, Growth Analysis, By Component (Software, Demand Analysis and Forecasting), By Service (Managed Services, Professional Services), By Deployment Mode (On-premises, Cloud), By Organization Size (Small and Medium-sized Enterprises, Large Enterprises), By Vertical (Retail and Consumer Goods, Pharmaceutical), By Region - Industry Forecast 2024-2031


Report ID: SQMIG45C2024 | Region: Global | Published Date: September, 2024
Pages: 160 | Tables: 89 | Figures: 76

Supply Chain Analytics Market Dynamics

Supply Chain Analytics Market Drivers

  • Rising data volumes, along with the ongoing need for a unified cost-cutting solution, are projected to drive demand for advanced analytics solutions across business verticals. Big data has emerged as a critical component in developing corporate growth plans. Furthermore, one of the key concerns of businesses is cost-cutting and resource-saving, which may be accomplished through appropriate supply chain optimization. As a result, the utilisation of data improves the analytical capacity of such analytical solutions and offers businesses with useful insights into the core causes of lost productivity and velocity. These data also provide improved visibility into supply chain performance, allowing businesses to govern the flow of their resources and target their improvement projects.

Supply Chain Analytics Market Restraint

  • Unethical activities and increasing incidences of cyber threats may raise concerns among businesses and, to some extent, challenge the adoption of SCA solutions. Although the prospects for incorporating technology into supply chain operations appear promising, industry incumbents are still concerned about potential security/data breaches. These concerns may be detrimental to future growth.
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Global Supply Chain Analytics Market size was valued at USD 5.10 billion in 2022 and is poised to grow from USD 6.18 billion in 2023 to USD 28.57 billion by 2031, growing at a CAGR of 21.10% during the forecast period (2024-2031).

SAP SE, Oracle Corporation, Accenture PLC, and Aera Technology are just a few of the prominent providers providing unified software solutions that address the diverse demands of a supply chain. The trend of improving the delivery mechanism from point of production to point of consumption has encouraged businesses to use unified advanced analytics software. The advancement of supply chain solutions using big data and predictive analytics, as well as the use of interactive software solutions and functional dashboards, stimulates market participants to create sophisticated supply chain analytics solutions. 'IBM (US) ', 'Oracle (US) ', 'SAP SE (Germany) ', 'Salesforce (US) ', 'Software AG (Germany) ', 'MicroStrategy (US) ', 'SAS Institute (US) ', 'Cloudera (US) ', 'Domo (US) ', 'Axway (France) ', 'Rosslyn Analytics (UK) ', '1010data (US) ', 'Qlik (US) ', 'Logility (US) ', 'Infor (US) ', 'Voxware (US) ', 'Manhattan Associates (US) ', 'DataFactz (US) ', 'Dataiku (France) ', 'Relex Solutions (Finland) ', 'AIMMS (Netherlands) ', 'TARGIT (Denmark) ', 'TIBCO Software (US) ', 'Zebra Technologies (US) ', 'The AnyLogic Company (Russia) ', 'Intugine Technologies (India) ', 'Lumachain (Australia) ', 'HUM Industrial Technology (US) ', 'Pafaxe (US) ', 'SS Supply Chain Solutions (3SC) (India)'

Rising data volumes, along with the ongoing need for a unified cost-cutting solution, are projected to drive demand for advanced analytics solutions across business verticals. Big data has emerged as a critical component in developing corporate growth plans. Furthermore, one of the key concerns of businesses is cost-cutting and resource-saving, which may be accomplished through appropriate supply chain optimization. As a result, the utilisation of data improves the analytical capacity of such analytical solutions and offers businesses with useful insights into the core causes of lost productivity and velocity. These data also provide improved visibility into supply chain performance, allowing businesses to govern the flow of their resources and target their improvement projects.

Machine-generated and human-generated data are growing at a rate that is ten times faster than traditional commercial data. Furthermore, by 2027, the worldwide industry is predicted to have 41 billion IoT devices that will gather, analyse, and exchange this data. The growing need to store, process, and analyse huge volumes of structured and unstructured datasets has prompted many businesses and people to adopt advanced and big data analytics.

With a market share of more than 38% in 2021, North America dominated the global supply chain analytics market. Owing to the complexity of corporate processes, North American industrial organizations are putting a greater emphasis on the visual display of operational data. This enables businesses to quickly assess the current data health of their supply chain, allowing for better strategic decision-making.

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Global Supply Chain Analytics Market

Report ID: SQMIG45C2024

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