Global Supply Chain Big Data Analytics Market: Industry Analysis and Forecast (2020-2026)

 Global Supply Chain Big Data Analytics Market is expected to reach US$ XX Bn by 2026 from US$ XX Bn in 2020 at a CAGR of 18.5 % during the forecast period.

The report includes an analysis of the impact of COVID-19 lockdown on the revenue of market leaders, followers, and disruptors. Since the lockdown was implemented differently in various regions and countries; the impact of the same is also seen differently by regions and segments. The report has covered the current short-term and long-term impact on the market, and it would help the decision-makers to prepare the outline and strategies for companies by region.
Supply Chain Big Data Analytics Definition:

Big Data Analytics involves the use of advanced analytics techniques to extract valuable knowledge from vast amounts of data, facilitating data-driven decision-making. Big Data Analytics consists of three different levels of analytics. Prescriptive Analytics finds application data from processes such as Manufacturing, Logistics, Transportation and Warehousing along with newly introduced processes such as Cyber-Physical Systems in the Industry 4.0 trend.
Predictive analytics finds strong applications in Procurement, Risk assessment, Risk Management, Forecasting. Descriptive analytics finds application in the development of effective and summarizing reports on raw data that is easy for human interpretation.
Global Supply Chain Big Data Analytics Market Dynamics:

With the world moving towards the Industry 4.0 Standard, the number of machines, processes, and services generating and collecting large quantities of data will increase greatly in the future. This will give rise to Big Data, which is enormous amounts of data that cannot be processed with conventional computation techniques. To uncover patterns in the huge amounts of data and gain valuable insights into it, Big Data Analytics is used. Supply Chain is a significant contributor to Big Data, wherein the diversity of information is large.

The data accumulated by Supply Chain contains information from the key entities such as manufacturing, logistics, and retail. The use of Big Data Analytics on a collection of such data sets can cultivate a proactive decision-making approach for predicting key opportunities and risks in the Supply Chain, which acts as the driving factor for the growth of the Global Supply Chain Big Data Analytics Market.

With the technological advancements across the Supply Chain, data generated is increasing at a fast rate. The information flow was documented in terms of physical documents until the use of Information Technology in the Supply Chain. Now, the majority of the information flow linked to the material flow is being documented in the form of digital structured data. As the scope of the Supply Chain is currently worldwide, the volume of data collected from its numerous processes and the velocity at, which it is being generated can be qualified as Big Data.

In addition to this, entities such as marketing and sales are now relying on the analysis of the unstructured data along with the structured data to gain better insights on customer needs and improve upon the cost aspects of Supply Chain processes. The use of Big Data can offer a significant value in areas such as product development, market demand predictions, supplying decisions, distribution optimization, and customer feedback.
According to a statistical observation about the growth of data from different sources, the data collected from Transactions, Social Media, Sensors and RFID scans or POS (Point of Sale) were recorded to be 88%, 43%,43%, 42%, and 41% respectively, ranking them amongst the top 8 sources for data generation and analytics.
The number of companies competing to utilize this data is increasing at a fast rate. The right utilization of this data is crucial to the transformation of businesses across the globe, which has proved to be a paradigm for all the upcoming businesses. However, in some applications, such as maritime transportation and sea-based logistics, the collection of data through RFID scans and sensors is very difficult due to the nature of the application or environment, which has increased the demand for supply chain big data analytics.
Security and privacy issues by enterprises as it contains confidential data is expected to hamper the growth of the Global Supply Chain Big Data Analytics Market.
Global Supply Chain Big Data Analytics Market Segment Analysis:

The report groups the Global Supply Chain Big Data Analytics Market in different segments like by component, deployment mode, enterprise size, end-user, and region to forecast the revenues and analyze the market share of each segment over the forecast period.

Global Supply Chain Big Data Analytics Market

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Based on Component, the Software segment was dominant in 2019 and is expected to command a market share of xx% by 2026. The software includes demand analysis and forecasting, Supplier performance analytics, Spend and procurement analytics, Inventory analytics and Transportation and logistics analytics. The demand analysis and forecasting software are one of the major software used in supply chain analytics, which helps companies to forecast the future demand of the product based on past data.

Demand analysis helps the company to manage the inventory levels ensuring the products are not overstocked or understocked. The demand analysis and forecasting facilitate businesses to boost their service levels, shorten cycle times and reduce inventory investment.
Based on Deployment mode, the cloud-based segment was dominant in 2019 and is expected to command a market share of xx% by 2026. Cloud-based solutions have various benefits like cost control, resource pooling and less implementation time, which acts as the main driving factors for the growth of the segment. It also enables the enterprise to have control over their server, infrastructure and systems that can be configured as per the business requirements.
Based on end-user, the Global Supply Chain Analytics Market is segmented into Manufacturing, Food and Beverages, Healthcare, Automotive, Aerospace, Retail, and Consumer-Packaged Goods.
Global Supply Chain Big Data Analytics Market Regional Insights:

Global Supply Chain Big Data Analytics Market Regional Insights

GLOBAL SUPPLY CHAIN BIG DATA ANALYTICS MARKET REGIONAL MAP

North America is expected to command the largest market share of xx% by 2026
Enterprises in developed economies of North America like the US and Canada have a higher Business Intelligence and analytics adoption rate compared to other regions. The increasing volume of information generated from enterprise applications is primarily driving the market in the region. Companies are adopting an acquisition strategy to strengthen their presence in the US market. Also, because of the presence of a large number of solution vendors in the developed economies like the US and Canada the demand for supply chain analytics is more in the region.
The objective of the report is to present a comprehensive analysis of the Global Supply Chain Big Data Analytics Market to the stakeholders in the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language.
The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers.
The report also helps in understanding the Global Supply Chain Big Data Analytics Market dynamics, structure by analyzing the market segments and projects the Global Supply Chain Big Data Analytics Market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the Global Supply Chain Big Data Analytics Market make the report investor’s guide.
Global Supply Chain Big Data Analytics Market Scope: Inquire before buying

Global Supply Chain Big Data Analytics Market
Global Supply Chain Big Data Analytics Market Key Players:

• SAP
• Oracle
• IBM
• SAS Institute
• Software AG
• MicroStrategy
• Tableau
• Qlik
• TIBCO
• Cloudera
• Logility
• Savi Technology
• Infor
• RELEX Solutions
• TARGIT
• Voxware
• The AnyLogic Company
• Antuit
• Axway
• AIMMS
• BRIDGEi2i
• Domo
• Datameer
• 1010data
• Rosslyn Analytics
• Blue Yonder
• Manhattan Associates
• DataFactZ

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