On the basis of regions, the global supply chain analytics market is segmented into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa. North America region accounted for largest market share of global supply chain analytics market in 2016 due to wide application of supply chain in healthcare sector. Accuracy is one of the major concerns in the healthcare sector. Machine learning have the capabilities to provide more accurate diagnosis and healthcare services, which in turn has augmented demand for supply chain analytics in healthcare sector. For instance, diagnosis of diabetic eye disease requires frequent examination of pictures at the back of an eye by the specialist. The features in the image helps to identify sensitivity of disease, which indicates fluid leakage and bleeding. In 2016, Google has developed a deep learning algorithm, which analyze images and provides training to the system by using a data set of 128,000 images. Thus, the system diagnose the disease with a level of accuracy similar to human ophthalmologists. Google healthcare sector is focused on developing a deep learning algorithm for early diagnosis of skin cancer and breast cancer.
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Supply Chain Analytics are mostly used in manufacturing and warehouse industries, due to the need to move heavy products in easier way to several locations in a very short time, in order to increase the production process. Increasing application and rising demand for Supply Chain Analytics from end-use industries are some of the major factors driving growth of the Supply Chain Analytics market, which in turn is expected to create growth opportunities for manufacturers operating in this market. As a result of rising demand for Supply Chain Analytics, manufacturers are focusing on various strategies such as partnerships and acquisitions in order to expand their customer base in the market and strengthen their foothold in the global Supply Chain Analytics market.
Competitive Scenario:-
Major players operating in the global supply chain analytics market are IBM Corporation, Microstrategy, Oracle Corporation, SAP SE, SAS Institute, INC., Capgemini Inc., Genpact, Kinaxis INC., Tableau Software, and Birst, Inc.
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Table of Contents:-
· Chapter 1. Methodology & Sources
· Chapter 2. Executive Summary
· Chapter 3. Key Insights
· Chapter 4. Supply Chain Analytics Market Segmentation & Impact Analysis
· Chapter 5. Supply Chain Analytics Market by Components Insights & Trends, Revenue (USD Million
· Chapter 6. Supply Chain Analytics Market by Application Insights & Trends, Revenue (USD Million)
· Chapter 7. Supply Chain Analytics Market by End-Use Insights & Trends, Revenue (USD Million)
· Chapter 8. Supply Chain Analytics Market Regional Outlook
· Chapter 9. Competitive Landscape
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COVID-19 scenario:-
The COVID-19 pandemic impacted the production of Supply Chain Analytics in the first and second quarters of 2020–21.The adoption of new technology in the automotive, food & beverage, and electronics sectors added to the demand for Supply Chain Analytics in the third and fourth quarters of 2020. The COVID-19 pandemic impacted many sectors such as transportation and supply chains on a global level. This caused a decline in the manufacturing of robots as well as their demand in the market. The re-initiation of Supply Chain Analytics manufacturing businesses is expected in the near future, which will boost the Supply Chain Analytics market.
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