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Supply Chain Big Data Analytics market report offers an in-depth analysis of this market across the globe. The study, aimed at providing current and prospect players in this market sharp insights to gain the advantage over their competitors. Supply Chain Big Data Analytics market report does so by providing an executive summary including all valuable market figures and exploring the favourable factors that are expected to drive the growth rate of the market, besides taking account of the restraining factors. The report also highlights the emerging trends in the global market. Supply Chain Big Data Analytics Market is expected to register a CAGR during the forecast period of (2019 – 2024).

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The Major Players Described in Supply Chain Big Data Analytics Market Report Are:

  • SAP SE (SAP)
  • IBM Corporation
  • Oracle Corporation
  • MicroStrategy Incorporated
  • Genpact Limited
  • SAS Institute Inc.
  • Sage Clarity Systems
  • Tableau
  • Birst Inc.
  • Capgemini Group
  • Kinaxis Inc.

    Market Overview:

  • The Supply Chain Big Data Analytics Market is expected to register a CAGR of over 17.31 % during the forecast period 2019 – 2024. With advancements in information technology, firms are now able to access, store, and process a massive amount of data. Organizations are analyzing data sets and identifying key insights to apply to their operations, making it evident that big data has an important role to play in any industry. From food and beverage distribution to high tech, companies are incorporating analytics.
  • The widespread use of digital technologies has led to the emergence of big data analytics (BDA) as a critical business capability to provide companies with better opportunities, to obtain value from an increasingly huge amount of data and gain a commanding competitive advantage.
  • Big data analytics in Logistics & Supply Chain Management (LSCM) has garnered increasing attention due to its complexity and the prominent role of LSCM in enhancing the overall business performance. According to a survey conducted by Accenture in 2014, more than one-third of the respondents reported being engaged in serious conversations to deploy analytics in LSCM, while three out of ten already have taken an initiative to implement analytics.
  • LSCM faces the most significant challenges that can potentially result in inefficiencies and wastage in supply chains, such as delayed shipments, rising fuel costs, inconsistent suppliers, and ever-increasing customer expectations, among others.
  • The power of data is becoming evident to businesses of all shapes and sizes, from financial service to automobile manufacturing, healthcare, NGO, and more. It is increasingly becoming essential to make the best use of big data analytics in a supply chain to generate more profound insights. The retail sector streams a massive amount of data across its supply chains, at diverse customer touch points in many omnichannel operations.
  • According to a survey by Softweb Solutions, retailers who use predictive analytics have achieved a 73% increase in sales compared to those who did not use it. Therefore, retailers are utilizing big data solutions via customer analytics to multiply profitability and outperform competitors by personalizing their in-store offerings and online product.However, there are few stumbling blocks for supply chain management while executing real-time analytics.
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    Key Market Trends:

    Retail is expected to register a Significant Growth

    The retail industry currently holds the largest share of the global data analytics market, and is expected to present vast opportunities of growth, owing to the growing number of data sources being generated, with the adoption of IoT solutions, beacons, and RFID technologies across the supply chain. According to the Global Shopping Survey 2015, 96% of the retailers are ready to adopt IoT solutions and devices to analyze customer data, track stock levels, and strengthen customer relationships. All these technological improvisations not only enable better tracking of the products across the supply chain, but also help in gaining a clear understanding of customer behavior.

    For instance, retailers have also put in a network of RFID readers into the roof space of their sales floors, allowing them to read all of the stock on display and providing more accurate inventory visibility. Augmenting this trend, the American Apparel is leveraging RFID tags and data analytics tools to improve inventory management, while Walmart employed big data analytics itself to enhance its in-store and supply chain management.

    However, massive amounts of this useful information are left to rot, resulting in the overall conversion rates of only 2 to 3%. Thus, the big analytics market has been gaining traction in the retail market, to leverage the data, with its ability to understand, analyze, and generate valuable insights.

    The United States is Expected to Hold Major Share

    The United States is rigorously looking to strengthen its manufacturing industry, by enhancing its productivity by laying emphasis on improving activities across the supply chain, within the industrial sector in the country. The e-commerce industry in the United States is proliferating, owing to which, the requirement for efficient supply chain management is on the rise. According to the US Commerce Department, the e-commerce industry in the country rose by over 40% in 2017. As a result, big data is expected to rise significantly, thereby, having a positive impact on the supply chain analytics in the country.

    The e-retailers in the North American retail market are rigorously trying to enhance the customer experience, by incorporating same-day delivery, which can effectively be achieved through effective supply chain management. Notably, according to Auburn University’s Harbert College of Business, in early 2018, the retailers in the United States are expected to foster their investment in the supply chain management, especially in technology upgrade, owing to expansion and rapid growth in the e-commerce industry.

    Additionally, startups are trying to venture into the retail space in the region that are raising funds to boost their operational efficiency through big data analytics and other emerging technologies. For instance, A.S. Watson group (ASW) announced a partnership with Rubikloud, a Toronto-based startup, primarily to invest in developing big data capabilities. The former company invested about USD 70 million to enhance the operational efficiency and customer experience through the integration of visualization and machine learning capabilities. As a result, it is projected to propel the supply chain big data analytics market growth in the country.

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    Scope of the Report:

  • Supply chain analytics solutions can aid enterprises achieve growth, enhance profitability, and increase market shares by utilizing derived insights for making strategic decisions. These solutions can also offer a holistic view of supply chain and help in enhancing sustainability, reducing inventory cost, and accelerating time-to-market for products in the long run.

    Supply Chain Big Data Analytics Market Covers Major Factors:

    • Global Supply Chain Big Data Analytics Market Overview
    • Economic Impact on Market
    • Market Competition
    • Global Supply Chain Big Data Analytics Market Analysis by Application
    • Industrial Chain, Sourcing Strategy and Downstream Buyers
    • Marketing Strategy Analysis, Distributors/Traders
    • Global Supply Chain Big Data Analytics Market Effect, Factors, Analysis
    • Global Supply Chain Big Data Analytics Market Forecast

    Key questions answered in the report include:

    • What will the market size and the growth rate be in 2024?
    • What are the key factors driving the global Supply Chain Big Data Analytics market?
    • What are the key market trends impacting the growth of the global Supply Chain Big Data Analytics market?
    • What are the challenges to market growth?
    • Who are the key vendors in this market space?
    • What are the market opportunities and threats faced by the vendors in the global Supply Chain Big Data Analytics market?

    Browse Full Report @ https://www.industryresearch.co/supply-chain-big-data-analytics-market-growth-trends-and-forecast-2019-2024–13999729

    Supply Chain Big Data Analytics Market Covers Following Points in TOC:

    Chapter 1: Supply Chain Big Data Analytics Market Definition

    Chapter 2: Research Methodology of Supply Chain Big Data Analytics Market

    Chapter 3: Supply Chain Big Data Analytics Market Executive Summary

    Chapter 4: Supply Chain Big Data Analytics Market Overview Includes Current Market Scenario, Porter’s Five Forces Analysis, Bargaining Power of Suppliers and Consumers, Threat of New Entrants and Substitute Product and Services

    Chapter 5: Market Dynamics Covers Drivers, Restraints, Opportunities and Challenges

    Chapter 6: Supply Chain Big Data Analytics Market Segmentation by Types, End-User, and Applications Forecast to 2024

    Chapter 7: Supply Chain Big Data Analytics Market Segmentation by Geographical Regions

    Chapter 8: Competitive Landscape of Supply Chain Big Data Analytics Market Includes Mergers & Acquisition Analysis, Agreements, Collaborations, and Partnerships, New Products Launches

    Chapter 9: Key Players for Supply Chain Big Data Analytics Market

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  • (Excerpt) Read more Here | 2019-06-08 19:14:51
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