North America Big Data Analytics in Refurbished Retail Market Report and Forecast 2023-2028

North America Big Data Analytics in Refurbished Retail Market Report and Forecast 2023-2028


Market Outlook

According to the report by Expert Market Research (EMR), the North America big data analytics in refurbished retail market is projected to grow at a CAGR of 24.1% between 2023 and 2028. Aided by the increasing need for insights into consumer behaviour and the expanding applications of big data analytics in numerous sectors, the market is expected to grow significantly by 2028.

Big data analytics is the process of collecting, organising, and analysing large datasets to discover patterns and other useful information. It is extensively used in the refurbished retail sector to understand customer preferences, streamline operations, and drive growth. In addition to its analytic capabilities, big data also enables predictive modelling, allowing businesses to anticipate future trends and make proactive decisions.

The increasing need for insights into consumer behaviour is a significant driver of the North America big data analytics in refurbished retail market growth. With the rising volume of data generated through online and offline sales, retailers are turning to big data analytics to understand consumer preferences, optimise pricing, and personalise marketing efforts. This shift towards data-driven decision-making is propelling the growth of the market.

Furthermore, the rise of e-commerce platforms selling refurbished goods has substantially contributed to the North America big data analytics in refurbished retail market expansion. As these platforms aim to provide superior customer experiences and competitive pricing, they rely heavily on big data analytics for inventory management, price optimisation, and demand forecasting.

The growing applications of big data analytics across various areas in the refurbished retail sector also play a significant role in driving market growth. In supply chain management, for instance, big data analytics can provide insights into supplier performance, identify bottlenecks, and suggest improvements. In customer service, it can be used to understand customer needs, predict behaviour, and improve overall service quality.

The increasing adoption of artificial intelligence (AI) and machine learning technologies in big data analysis is another key factor bolstering the North America big data analytics in refurbished retail market demand. These technologies enable more sophisticated analysis, predictive modelling, and automated decision-making, thereby enhancing the value of big data analytics for refurbished retailers.

Finally, the increasing demand for sustainable shopping options has put the spotlight on refurbished goods, giving a further boost to the North America big data analytics in refurbished retail market. As consumers seek to reduce their environmental impact, the demand for refurbished products is growing, leading to an increased need for big data analytics to manage this expanding market segment.

Market Segmentation

The market can be divided based on component, product, type, distribution channel, and country.

Market Breakup by Component
  • Software
  • Service
Market Breakup by Product
  • Mobile Phones and Accessories
  • Consumer Durables/Appliances
  • Automotive
  • Computers and Peripherals
  • Others
Market Breakup by Type
  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
Market Breakup by Distribution Channel
  • Offline Stores
  • Online
Market Breakup by Country
  • United States
  • Canada
Competitive Landscape

The EMR report looks into the market shares, plant turnarounds, capacities, investments, and acquisitions and mergers, among other major developments, of the North America big data analytics in refurbished retail companies. Some of the major key players explored in the report by Expert Market Research are as follows:
  • Cisco System Inc.
  • SAP SE
  • IBM Corporation
  • eSite Analytics
  • Retail Next. Inc.
  • Buxton
  • Tango Analytics
  • Others
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*We at Expert Market Research always strive to provide you with the latest information. The numbers in the article are only indicative and may be different from the actual report.


1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
7 Opportunities and Challenges in the Market
8 North America Big Data Analytics in Refurbished Retail Market Analysis
8.1 Key Industry Highlights
8.2 North America Big Data Analytics in Refurbished Retail Historical Market (2018-2022)
8.3 North America Big Data Analytics in Refurbished Retail Market Forecast (2023-2028)
8.4 North America Big Data Analytics in Refurbished Retail Market by Component
8.4.1 Software
8.4.1.1 Market Share
8.4.1.2 Historical Trend (2018-2022)
8.4.1.3 Forecast Trend (2023-2028)
8.4.2 Service
8.4.2.1 Market Share
8.4.2.2 Historical Trend (2018-2022)
8.4.2.3 Forecast Trend (2023-2028)
8.5 North America Big Data Analytics in Refurbished Retail Market by Product
8.5.1 Mobile Phones and Accessories
8.5.1.1 Market Share
8.5.1.2 Historical Trend (2018-2022)
8.5.1.3 Forecast Trend (2023-2028)
8.5.2 Consumer Durables/Appliances
8.5.2.1 Market Share
8.5.2.2 Historical Trend (2018-2022)
8.5.2.3 Forecast Trend (2023-2028)
8.5.3 Automotive
8.5.3.1 Market Share
8.5.3.2 Historical Trend (2018-2022)
8.5.3.3 Forecast Trend (2023-2028)
8.5.4 Computers and Peripherals
8.5.4.1 Market Share
8.5.4.2 Historical Trend (2018-2022)
8.5.4.3 Forecast Trend (2023-2028)
8.5.5 Others
8.6 North America Big Data Analytics in Refurbished Retail Market by Type
8.6.1 Descriptive Analytics
8.6.1.1 Market Share
8.6.1.2 Historical Trend (2018-2022)
8.6.1.3 Forecast Trend (2023-2028)
8.6.2 Diagnostic Analytics
8.6.2.1 Market Share
8.6.2.2 Historical Trend (2018-2022)
8.6.2.3 Forecast Trend (2023-2028)
8.6.3 Predictive Analytics
8.6.3.1 Market Share
8.6.3.2 Historical Trend (2018-2022)
8.6.3.3 Forecast Trend (2023-2028)
8.6.4 Prescriptive Analytics
8.6.4.1 Market Share
8.6.4.2 Historical Trend (2018-2022)
8.6.4.3 Forecast Trend (2023-2028)
8.7 North America Big Data Analytics in Refurbished Retail Market by Distribution Channel
8.7.1 Offline Stores
8.7.1.1 Market Share
8.7.1.2 Historical Trend (2018-2022)
8.7.1.3 Forecast Trend (2023-2028)
8.7.2 Online
8.7.2.1 Market Share
8.7.2.2 Historical Trend (2018-2022)
8.7.2.3 Forecast Trend (2023-2028)
8.8 North America Big Data Analytics in Refurbished Retail Market by Country
8.8.1 Market Share
8.8.1.1 United States
8.8.1.2 Canada
9 Regional Analysis
9.1 United States
9.1.1 Historical Trend (2018-2022)
9.1.2 Forecast Trend (2023-2028)
9.2 Canada
9.2.1 Historical Trend (2018-2022)
9.2.2 Forecast Trend (2023-2028)
10 Market Dynamics
10.1 SWOT Analysis
10.1.1 Strengths
10.1.2 Weaknesses
10.1.3 Opportunities
10.1.4 Threats
10.2 Porter’s Five Forces Analysis
10.2.1 Supplier’s Power
10.2.2 Buyer’s Power
10.2.3 Threat of New Entrants
10.2.4 Degree of Rivalry
10.2.5 Threat of Substitutes
11 Competitive Landscape
11.1 Market Structure
11.2 Company Profiles
11.2.1 Cisco System Inc.
11.2.1.1 Company Overview
11.2.1.2 Solution Portfolio
11.2.1.3 Demographic Reach and Achievements
11.2.1.4 Certifications
11.2.2 SAP SE
11.2.2.1 Company Overview
11.2.2.2 Solution Portfolio
11.2.2.3 Demographic Reach and Achievements
11.2.2.4 Certifications
11.2.3 IBM Corporation
11.2.3.1 Company Overview
11.2.3.2 Solution Portfolio
11.2.3.3 Demographic Reach and Achievements
11.2.3.4 Certifications
11.2.4 eSite Analytics
11.2.4.1 Company Overview
11.2.4.2 Solution Portfolio
11.2.4.3 Demographic Reach and Achievements
11.2.4.4 Certifications
11.2.5 Retail Next. Inc.
11.2.5.1 Company Overview
11.2.5.2 Solution Portfolio
11.2.5.3 Demographic Reach and Achievements
11.2.5.4 Certifications
11.2.6 Buxton
11.2.6.1 Company Overview
11.2.6.2 Solution Portfolio
11.2.6.3 Demographic Reach and Achievements
11.2.6.4 Certifications
11.2.7 Tango Analytics
11.2.7.1 Company Overview
11.2.7.2 Solution Portfolio
11.2.7.3 Demographic Reach and Achievements
11.2.7.4 Certifications
11.2.8 Others
12 Key Trends and Developments in the Market
List of Key Figures and Tables
1. North America Big Data Analytics in Refurbished Retail Market: Key Industry Highlights, 2018 and 2028
2. North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Component (USD Million), 2018-2022
3. North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Component (USD Million), 2023-2028
4. North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Product (USD Million), 2018-2022
5. North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Product (USD Million), 2023-2028
6. North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Type (USD Million), 2018-2022
7. North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Type (USD Million), 2023-2028
8. North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Distribution Channel (USD Million), 2018-2022
9. North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Distribution Channel (USD Million), 2023-2028
10. North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Country (USD Million), 2018-2022
11. North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Country (USD Million), 2023-2028
12. North America Big Data Analytics in Refurbished Retail Market Structure

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