Predictive Analytics in Supply Chain Market to 2027 - Akamai Technologies, Amazon Web Services, Cisco Systems, Google, IBM, Microsoft, Netsuite, Oracle, VMWare and Yahoo

MARKET INTRODUCTION
Supply chain is a largely exhaustive stream with a large set of components that are necessary for effective operations. Logistic companies globally depend upon accuracy, efficiency, and timeliness in order to meet the consumer demands. The integration of predictive analytics is anticipated to bring about a positive change in the supply chain market owing to its ability to determine real-time consumer patters, data tracking, and thereby anticipated demands. Supply and demand are the core aspects of any supply chain and in an extremely competitive landscape, a balanced supply chain ensures companies to gain competitive business edge.

MARKET DYNAMICS
The need for a more efficient automated supply chain service coupled with demands for higher efficiencies in the supply chain operations is anticipated to be a major driver for the predictive analytics in supply chain market. Concerns around the security of the data in the cloud services still hinder the growth of the predictive analytics in supply chain market. Increasing advancements in the field of predictive analytics would provide good opportunities to the players operating in the predictive analytics in supply chain market.

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MARKET SCOPE
The "Global Predictive Analytics in Supply Chain Market Analysis to 2027" is a specialized and in-depth study of the technology, media and telecommunication industry with a special focus on the global market trend analysis. The report aims to provide an overview of the predictive analytics in supply chain market with detailed market segmentation by component, deployment model, enterprise size, industry vertical, and geography. The global predictive analytics in supply chain market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading predictive analytics in supply chain market players and offers key trends and opportunities in the market.

MARKET SEGMENTATION
The global predictive analytics in supply chain market is segmented on the basis of component, deployment model, enterprise size, and industry vertical. Based on component, the predictive analytics in supply chain market is segmented into solution and services. On the basis of deployment model, the predictive analytics in supply chain market is segmented into cloud-based and on-premises. Further, the predictive analytics in supply chain market is segmented on the basis of enterprise size into small and medium enterprises (SMEs) and large enterprises. The predictive analytics in supply chain market on the basis of the industry vertical is classified into Food and Beverage, consumer goods and retail, automotive, aerospace and defense, industrial manufacturing, pharmaceutical, and others.

REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global predictive analytics in supply chain market based on various segments. It also provides market size and forecast estimates from the year 2018 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America. The predictive analytics in supply chain market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

The report analyzes factors affecting the predictive analytics in supply chain market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive Porter's Five Forces analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the predictive analytics in supply chain in these regions.

MARKET PLAYERS
The reports cover key developments in the predictive analytics in supply chain market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved the way for the expansion of business and customer base of market players. The market payers from predictive analytics in supply chain market are anticipated to lucrative growth opportunities in the future with the rising demand for predictive analytics in supply chain in the global market. Below mentioned is the list of few companies engaged in the predictive analytics in supply chain market.

The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the predictive analytics in supply chain market. In addition, the report focuses on leading industry players with information such as company profiles, products and services offered, financial information of the last 3 years, the key development in the past five years.

• Akamai Technologies
• Amazon Web Services
• Cisco Systems, Inc.
• Google, Inc.
• IBM Corporation
• Microsoft Corporation
• Netsuite Inc.
• Oracle Corporation
• VMWare Corporation
• Yahoo, Incorporation

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Key Elements that the report acknowledges:

• Market size and growth rate during forecast period.
• Key factors driving the Predictive Analytics in Supply Chain Market.
• Key market trends cracking up the growth of the Predictive Analytics in Supply Chain Market.
• Challenges to market growth.
• Key vendors of Predictive Analytics in Supply Chain Market.
• Detailed SWOT analysis.
• Opportunities and threats faces by the existing vendors in Global Predictive Analytics in Supply Chain Market.
• Trending factors influencing the market in the geographical regions.
• Strategic initiatives focusing the leading vendors.
• PEST analysis of the market in the five major regions.

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This release was published on openPR.