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Final Report will add an analysis of the impact of the Russia-Ukraine War and COVID-19 on theSupply Chain Big Data Analytics industry.
Global "Supply Chain Big Data Analytics Market" research report [NEW OUTLOOK INSIGHT 2023]analyses top opportunities in the market and summarizes the features that are and will drive the industry's progress. Reports also focus on earlier growing patterns, growth drivers, and present and upcoming trends, and estimate the overall development of the global Supply Chain Big Data Analytics market during 2023-2028. Supply Chain Big Data Analytics market analysis sales, production, revenue, consumption, market share, development plans, types, applications, and key players. It also analyses expansions, agreements, new product launches, and acquisitions.ASK FOR A SAMPLE REPORT
Supply Chain Big Data Analytics Market is segmented on the basis of product, and type. All of these segments have been studied individually. The detailed investigation allows assessment of the factors influencing the Supply Chain Big Data Analytics Market. Analysts have analyzed the nature of development, investments in research and development, changing consumption patterns, and a growing number of applications. In addition, analysts have also evaluated the changing economics around the Supply Chain Big Data Analytics Market that is likely to affect its course.
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This Supply Chain Big Data Analytics Market research report is the result of a comprehensive primary and secondary research effort into the Supply Chain Big Data Analytics market. It provides a thorough overview of the market's current and future objectives, along with a competitive analysis of the industry, broken down by application, type, and regional trends. It also provides a detailed overview of the past and present performance of leading companies. A variety of methodologies and analyses are used in the research to ensure accurate and comprehensive information about the Supply Chain Big Data Analytics Market.
The key factors of keyword market report such as market size, revenue analysis, market value, and quantity are explained. This study analyses market maturity analysis, concentration, and scope of development across the region. Players can use the accurate market facts and figures and statistical studies provided in the report to understand the current and future growth of the global Supply Chain Big Data Analytics market. Global Supply Chain Big Data Analytics Marketresearch report 2023 has been prepared by experienced and knowledgeable market analysts and researchers. It is a phenomenal compilation of important studies that explore the competitive landscape, segmentation, geographical expansion, and revenue, production, and consumption growth of the global Supply Chain Big Data Analytics market.
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Market Overview
The Supply Chain Big Data Analytics Market is expected to register a CAGR of over 17.31 Percent 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 and 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 73Percent 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.
The 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.
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, 96Percent 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 3Percent. 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 40Percent 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.
Competitive Landscape
The Supply Chain Big Data Analytics Market is highly competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. These major players with prominent share in the market are focusing on expanding their customer base across foreign countries. These companies are leveraging on strategic collaborative initiatives to increase their market share and increase their profitability. The companies operating in the market are also acquiring start-ups working on Supply Chain Big Data Analytics technologies to strengthen their product capabilities. In July 2018, Deloitte and SAS entered into an agreement to address the complex risk and regulatory calculations at scale, and turn compliance into an opportunity.
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Some Major Points from Toc :-
1. Introduction
1.1 Research Phases
1.2 Study Deliverables
1.3 Scope of the Report
2. Executive Summary
3. Market Insights
3.1 Industry Value Chain Analysis
3.2 Industry Attractiveness Porter’s Five Forces Analysis
3.2.5 Degree of Competition
3.3 Price Analysis
4. Market Dynamics
4.1 Drivers
4.2 Restraints
4.3 Opportunities
5. Market Segmentation and Analysis (Market Size, Growth and Forecast)
5.1 By Product Type
5.2 By Application
5.3 By End-user Industry
6. Regional Market Analysis
6.1 Production Analysis
6.1.1 Australia
6.1.2 Bolivia
6.1.3 Brazil
6.1.4 Democratic Republic of Congo
6.1.5 Indonesia
6.1.6 Malaysia
6.1.7 Myanmar
6.1.8 Peru
6.1.9 Russia
6.1.10 Thailand
6.1.11 Vietnam
6.1.12 Others
6.2 Consumption Analysis (Market Size, Growth and Forecast)
6.2.1 Asia-Pacific
6.2.1.1 India
6.2.1.2 China
6.2.1.3 Japan
6.2.1.4 South Korea
6.2.1.5 Rest of Asia-Pacific
6.2.2 North America
6.2.2.1 United States
6.2.2.2 Canada
6.2.2.3 Mexico
6.2.2.4 Rest of North America
6.2.3 Europe
6.2.3.1 Germany
6.2.3.2 United Kingdom
6.2.3.3 France
6.2.3.4 Italy
6.2.3.5 Austria
6.2.3.6 Rest of Europe
6.2.4 South America
6.2.4.1 Brazil
6.2.4.2 Argentina
6.2.4.3 Rest of South America
6.2.5 Middle East and Africa
6.2.5.1 UAE
6.2.5.2 South Africa
6.2.5.3 Rest of Middle East and Africa
7. Future of the Market
8. Competitive Landscape
8.1 Mergers and Acquisitions, Joint Ventures, Collaborations and Agreements
8.2 Market Share Analysis**
8.3 Strategies Adopted by Leading Players
9. Company Profiles (Overview, Financials**, Products and Services, and Recent Developments)
10. Disclaimer
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