Published on : Aug 31, 2020
ResearchMoz.us has announced the addition of a report, titled “Global Supply Chain Big Data Analytics Market Size,Status and Forecast 2019-2025”. The report on the global supply chain big data analytics presents a detailed assessment of the key growth dynamics, market size of new avenues in various applications, and competitive landscape.
The study offers an in-depth evaluation of the size of the global market each year and presents insights into the share of key product types during the assessment period of 2019-2025. It takes a closer look at the recent technology trends shaping the demand dynamic in both on-premise and cloud-based supply chain big data analytics
The report provides the size of opportunities in key application segments such as retail, healthcare, transportation and logistics, and manufacturing. It provides a quantitative assessment of the scope of the supply chain big data analytics solutions in numerous developing and developed regions, including North America, China, Europe, and India.
Growing application of artificial intelligence and machine learning technologies in supply chains of businesses is expected to bolster the adoption of supply chain big data analytics market. Over the past few years, demand analysis and forecasting software has attracted attention of consumer goods industries for their supply chain. They are considering it as a crucial part of the competitive in the fast evolving business landscape of consumer expectations. Software solutions have enabled many to manage inventory investment, and minimize loss.
A robust impetus has come from the several benefits that cloud-based solutions offer to solution providers in the supply chain big data analytics market. Over the past decade, big data analytics (BDA) comes as a strategic investment for several industries, notably food and beverages and technology providers, in improving the business capability.
Analytics has become a key enabler for logistics and supply chains of diverse industries, such as automotive, consumer goods, healthcare, to oil and gas. Not only supply chain big data analytics provide the much-needed insights to understand the rapidly changing consumer expectations, implementation of such solutions also help supply chains to cut down on their losses due to wastage.
The growing demand for adopting a data-driven intelligence to boost customer service levels across industries is a key dynamic in the expanding avenues of cloud-based supply chain big data analytics. Growing popularity of predictive analytics in logistic and supply chain of businesses in key industries covered in the report is boosting the market. They are also creating an impact on in-store offerings.
However, implementing supply chain big data analytics in real time has proved to be considerably challenging for numerous industries. Another key challenge is obtaining correct and relevant data sets for analytics models. Further, executives in several companies show reluctance in adopting analytics-based supply chain program across all processes, possibly due to significant implementation challenges. On the other hand, the growing demand for integrated system for the transportation management system is opening new avenues in the supply chain big data analytics market.
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Some of the applications of supply chain big data analytics are spend and procurement analytics, plan compliance analytics, network optimization, inventory optimization, and price optimization. Typical benefits can be end-to-end supply chain visibility in logistics and transportations.
Some of the well-entrenched players in the supply chain big data analytics market are SAS Institute Inc., Oracle Corporation, Intel Corp, SAP SE, IBM, Hewlett-Packard Company, Google Inc., and Accenture. Some other key companies are Capgemini, Genpact Ltd., MicroStrategy Inc., and Sage Clarity Systems.