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 Insights

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).

Supply chain analytics (SCA) is gaining significant demand as a result of greater awareness of the benefits of SCA solutions such as forecasting accuracy, supply chain optimization, waste minimization, and meaningful synthesis of business data. Growing number of small and medium-sized businesses, as well as their increased investment on applying analytics in order to maintain a strong market position and compete with other market players, are likely to drive market expansion throughout the forecast period.

SCA provides organizations with a broader view of supply chain activities, allowing them to more effectively manage any issues that may impact the business's profitability or sustainability. Mobile-based solutions assist businesses in tracking inefficient supplier networks, increased warehousing costs, and incorrect forecasts, among other things. Analytics solutions are also important in analyzing business operations, which can help improve inventory management and, as a result, help reduce associated cost components that can stymie business growth. A recent surge in the adoption of mobile-based solutions is expected to open up new opportunities for the market growth.

US Supply Chain Analytics Market is poised to grow at a sustainable CAGR for the next forecast year.

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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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