The Global Supply Chain Analytics Market is estimated to grow at a significant CAGR during the forecast period 2019- 2025. The impact of e-commerce on retailers and manufacturers is driving a revolution in many sectors and business organization. This has led to the introduction of supply chain analytics solution, which offers mathematics, statistics, predictive modeling and machine-learning techniques to find meaningful patterns and knowledge regarding order, shipment and transactional data. It also connects the system of organizations, activities, information, and resources designed to produce and move goods from an organization that is supplied, to a final destination that is end customers. The aim of supply chain analytics is to improve forecasting, efficiency, develop advanced assessments of risk, and enhance prediction of customer needs. For instance, predictive analytics on point of sale terminal data stored in a demand signal repository can help in business, which turns in the lead to cost-saving adjustment to inventory and faster delivery. Some other benefits driving the supply chain analytics market include the ability to perform marketing analytics, web analytics, and predictive analytics.

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Various industries including manufacturing, healthcare, transportation, and logistics are some of the sectors that are embracing supply chain analytics solutions in their industries. Moreover, the capability of the organization to manufacture the products with minimum waste material, an increase in sales and transportation of goods has affected an increasing demand for supply chain analytics solutions globally. Supply chain analytics assist in reducing inventory cost through smart demand sensing, optimization of production plans, more responsive transport logistics, and cross-functional collaboration. The rise in supply chain analytics solutions is affected by growing manufacturing facilities, an increase in the volume of the business data in the enterprise, managing supplier relationship and for proper structuring of data.

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Some of the major players involved in the supply chain analytics solutions market include Accenture PLC, Antuit, Inc., Birst, Inc., BRIDGEi2i Analytics, Capgemini Services SAS, Chainalytics Inc., Ciber Global, LLC, Demand Management Inc., Eaton Corp., Genpact Ltd., Halo Business Intelligence, IBM Corp., Micro Strategy Inc., and SAS Institute Inc.

Current Market Trends Covered in the market report:

• Merger and acquisitions amid key market players escalating market growth.
• The companies are focusing on the development of innovative solutions in a competitive market.
• Integrate predictive analytics and machine learning in logistic solutions in supply chain management.

Global Supply Chain Analytics Market- Segmentation

By Solution

• Visualization & Reporting
• Sales & Operations Analytics
• Manufacturing Analytics
• Other (Planning & Procurement)

By Deployment Model

• On-Premises
• Cloud-Based

By Industry Vertical

• Manufacturing
• Retail
• Healthcare
• Transportation & Logistics
• Others (Aerospace & Defense)

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Global Supply Chain Analytics Market– Segment by Region

North America

• United States
• Canada

Europe

• Germany
• United Kingdom
• France
• Spain
• Italy
• Rest of Europe

Asia-Pacific

• China
• Japan
• India
• Rest of Asia-Pacific

Rest of the World

• Middle East & Africa
• Latin America

Company Profiles

• Accenture PLC
• Antuit, Inc.
• Birst, Inc.
• BRIDGEi2i Analytics
• Capgemini Services SAS
• Chainalytics Inc.
• Ciber Global, LLC
• Demand Management Inc.
• Eaton Corp.
• Genpact Ltd.
• Halo Business Intelligence
• IBM Corp.
• JDA Software Group, Inc.
• Kinaxis Inc.
• Logility, Inc.
• Manhattan Associates, Inc.
• MicroStrategy Inc.
• Neubrain, LLC
• Oracle Corp.

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