Increasing velocity data and volume need to enhance operation and supply chain efficiencies and the advent of machine learning and Artificial intelligence (AI) into supply chain management would drive the market growth. However, inaccuracies in data sets and security issues are expected to slow down the growth of the supply chain analytics market. Supply chain analytics targets to improve effectiveness and operational efficiency by enabling data-driven decisions at operational, strategic and tactical levels. It incorporates virtually the complete value chain including manufacturing, sourcing, distribution and logistics. Supply chain analytics Market helps in increasing productivity, inventory, forecasting and to improve customer relationship.
Supply Chain Analytics Market Dynamics
Increasing volume and complexity of data, surge in investments for the big data supporting initiatives by governments and rise in adoption of the big data technologies are some of the important factors that drive the global supply chain analytics market growth. However, lack of skilled IT staff and the inaccuracies in the data are anticipated to restrict the market growth. For instance, growth in awareness regarding benefits of the supply chain analytics and rising demand for cloud based supply chain analytics solutions are anticipated to provide profitable growth opportunities for the expansion of the global supply chain analytics market during the forecast period.
COVID-19 Impact on Supply Chain Analytics Market
Since the beginning of 2020, Covid-19 took its toll over China, leading to the supply shortage. Disruptions were witnessed in the availabity of goods sourced from China which included proper goods for sale as well as raw materials for the factories. As the country underwent series of lockdown, supply chains started witnessing demand shocks as people started pulling up customer staples for complying with movement restrictions. On the production side, factory manufacturers began maximizing the production by using full spare capacity to meet the demand. And therefore, the market for supply chain analytics market showed significant growth.
Supply Chain Analytics Market Segmental Overview
The report analyses of the supply chain analytics market based on component, enterprise size, organization size, deployment, industry vertical and by geography.
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Supply Chain Analytics Market by Component
By component, the global supply chain analytics market is segmented into software and services. Among this service segment is expected to show highest growth rate. The development of different custom applications and enhancement of the existing products is leading to drive the sufficient demand for maintenance and support services followed by the implementation and integration services.
Supply Chain Analytics Market by Deployment
The Supply Chain Analytics market by deployment is segmented into on-premise and cloud. Cloud segment plays a major role owing to its various benefits such as easy to handle and data security are the major points which drives the growth of the cloud segmentation in supply chain analytics market
Supply Chain Analytics Market by Enterprise Size
The supply chain analytics market by enterprise size is segmented into large enterprises and small & medium-sized enterprises. Large enterprises segment is expected to record the largest market size. Increased spending on big data analytics and demand from bigger organizations in the retail sector is driveing the growth of larger enterprises segment.
Supply Chain Analytics Market by Vertical
The supply chain analytics market on the basis of vertical size is segmented into automotive, food & beverages, healthcare & pharmaceuticals, manufacturing, retail & consumer goods, transportation & logistics, and others. Increasing investments and developments in the retail & consumer goods sector increases the demand for analytics.
Supply Chain Analytics Market Key Players
Some of the major players operating in this market 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), Blue Yonder (US), Manhattan Associates (US), and DataFactZ (US).
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