This “Supply Chain Big Data Analytics Market” report 2019-2024 provides in-depth analysis of scope of existing and forthcoming market and overview of product specification, technology, product type and production analysis considering major factors such as revenue, cost, gross and gross margin. Supply Chain Big Data Analytics market report more focuses on top industry leaders and explores all essentials aspects of competitive landscape. Additionally, the report shows the crucial information like CAGR, SWOT analysis, growth rate, revenue, and regional analysis of industry.
Major Key Players of Supply Chain Big Data Analytics Market:
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Scope of the Report:
Key Questions Answered in This Report:
- What are the market dynamics?
- What are the key market trends?
- What are the category growth drivers?
- What are the constraints on category growth?
- Who are the suppliers in this market?
- What are the demand-supply shifts?
- What are the major category requirements?
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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 Universitys 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.
The Report Covers:
- Comprehensive research methodology of Supply Chain Big Data Analytics market
- In-depth analysis of macro and micro factors influencing the market guided by key recommendations.
- Analysis of regional regulations and other government policies impacting the Supply Chain Big Data Analytics market
- Insights about market determinants which are inspiring the Supply Chain Big Data Analytics market
- Detailed and extensive market segments with regional distribution of forecasted revenues
- Extensive profiles and recent developments of market players Companies Mentioned
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Detailed TOC of Supply Chain Big Data Analytics Market 2019-2024:
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Increasing Need Of Business Data To Improve Efficiency
4.4 Market Restraints
4.4.1 Operational Complexity Coupled With High Maintenance Costs
4.4.2 Increasing Concerns About Security Regarding Big Data Analytics
4.5 Value Chain / Supply Chain Analysis
4.6 Industry Attractiveness Porters Five Force Analysis
4.6.1 Threat of New Entrants
4.6.2 Bargaining Power of Buyers/Consumers
4.6.3 Bargaining Power of Suppliers
4.6.4 Threat of Substitute Products
4.6.5 Intensity of Competitive Rivalry
5 MARKET SEGMENTATION
5.1 By Type
5.1.1 By Solution
220.127.116.11 Supply Chain Procurement and Planning Tool
18.104.22.168 Sales and Operations Planning
22.214.171.124 Manufacturing Analytics
126.96.36.199 Transportation and Logistics Analytics
188.8.131.52 Other Solutions (Inventory Planning and Optimization Analytics and Scheduling and Reporting Tools)
5.1.2 By Service
184.108.40.206 Professional Services
220.127.116.11 Support and Maintenance Services
5.2 By Deployment
5.3 By End-user Industry
5.3.2 Transportation and Logistics
5.3.5 Other End-user Industries
5.4.1 North America
5.4.3 Asia Pacific
5.4.4 Latin America
5.4.5 Middle East and Africa
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 SAP SE (SAP)
6.1.2 IBM Corporation
6.1.3 Oracle Corporation
6.1.4 MicroStrategy Incorporated
6.1.5 Genpact Limited
6.1.6 SAS Institute Inc.
6.1.7 Sage Clarity Systems
6.1.9 Birst Inc.
6.1.10 Capgemini Group
6.1.11 Kinaxis Inc.
7 INVESTMENT ANALYSIS
8 MARKET OPPORTUNITIES AND FUTURE TRENDS
Name: Ajay More
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