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Report Overview

The North America big data analytics in refurbished retail market is expected to grow at a CAGR of 24.10%.

2025

Base Year

2019-2025

Historical Period

2026-2035

Forecast Period

Compound Annual Growth Rate

24.1%

2026-2035


*this image is indicative*

Key Trends in the Market

Big data analytics in retail helps companies to generate customer recommendations on the basis of their purchase history. This results in an improved ability to offer customised shopping experiences along with improved customer service. These data sets are available in massive volumes, and aid in forecasting trends as well as in making strategic decisions that are guided by data.

  • The growth of the North America big data analytics in refurbished retail market is driven by the rising usage of the IoT in retail processes, enhancing productivity as well as efficiency of retail and generating demand for retail analytics tools.
  • Big data analytics supports retailers in increasing insights, and understanding customer buying behaviour, enhancing customer experience and providing ractical insights to develop all in-store operations which are further generating massive demand for retail analytics tools. This is further expected to bolster the market growth for big data analytics in refurbished retail.
  • The increasing adoption of industry 4.0 across the retail sector, is one of the primary aspects encouraging market growth. Going further, in retail 4.0, several operations and processes in the retail industry like inventory management, customer service, customer accounts, supply chain management, and merchandising management activities became digitized and automated. This is further expected to bolster the growth of the North America big data analytics in refurbished retail market during the forecast period.
  • The advent of technologies like artificial intelligence (AI), augmented reality (AR), and machine learning (ML), among others, are likely to increase opportunities for players in the market.

north america big data analytics in refurbished retail

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Market Segmentation

The EMR’s report titled “North America Big Data Analytics in Refurbished Retail Market Report and Forecast 2026-2035” offers a detailed analysis of the market based on the following segments:

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 Region

  • United States
  • Canada

north america big data analytics in refurbished retail by segment

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Market Share by Components

The service segment is likely to hold significant growth in the North America big data analytics in refurbished retail market on account of the increasing demand for cloud services. Going further, the development of self-service analytics and data marketplaces are further expected to influence the market growth over the coming years.

Meanwhile, the software segment is likely to boost the market growth on account of the advantages of big data analytics in retail solutions. These include incorporating the delivery of business-critical insights and forecasting trends based on historical data, pricing analysis, customer behaviour insights, and supply chain management, among others.

Market Share by Region

Geographically, the United States is expected to witness significant growth in the North America big data analytics in refurbished retail market due to the presence of major market players in the country. The high spending on big data analytics tools coupled with early adoption of modern technologies like AI, and IoT, among others are driving the market growth.

Meanwhile, Canada is expected to propel the market growth during the forecast period due to the increase in launch of cloud-based big data platforms and increasing number of software platform providers in the country.

Competitive Landscape

The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the North America big data analytics in refurbished retail market, covering their competitive landscape and latest developments like mergers, acquisitions, investments and expansion plans.

Cisco System Inc.

Cisco System Inc. is an American-based multinational technology company headquartered in San Jose, California, with a strong position in the North America big data analytics in refurbished retail market. The company produces, develops, as well as sells networking software, hardware, and telecommunications equipment, among other high-technology services and products.

SAP SE

SAP SE is a German multinational software company based in Baden-Württemberg. The company creates software to operate business operations along with customer relations. It is the world's leading company resource planning software vendor.

IBM Corporation or International Business Machines Corporation

IBM Corporation or International Business Machines Corporation is a multinational technology company headquartered in New York. It specialises in the manufacture and sales of computer middleware, software, and hardware, and offers hosting as well as consulting services in areas ranging from mainframe computers to nanotechnology.

*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*

Other major players include eSite Analytics, Retail Next. Inc., Buxton, and Tango Analytics, among others.

*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*

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Key Questions Answered in the Report

The market in North America is assessed to grow at a CAGR of 24.10% between 2026 and 2035.

The major market drivers are the increasing usage of the IoT in retail and growing digitisation.

The key market trends include rapid growth in technology along with increasing disposable income and the growing e-commerce sector.

The major countries in the market are the United States and Canada.

The various components of big data analytics in refurbished retail market include software and service.

The different products of big data analytics in refurbished retail market include mobile phones and accessories, consumer durables/appliances, automotive, and computers and peripherals, among others.

The different types of big data analytics in refurbished retail market include descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.

The different distribution channels of big data analytics in refurbished retail market include offline stores and online.

The major players in the North America big data analytics in refurbished retail market are Cisco System Inc., SAP SE, IBM Corporation, eSite Analytics, Retail Next. Inc., Buxton, and Tango Analytics, among others.

Report Summary

Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.

Key Highlights of the Report

Please note that the figures mentioned in the description serve as estimates and may vary from the actual figures presented in the final report.

REPORT FEATURES DETAILS
Base Year 2025
Historical Period 2019-2025
Forecast Period 2026-2035
Scope of the Report

Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:

  • Component
  • Product
  • Type
  • Distribution Channel
  • Region
Breakup by Component
  • Software
  • Service
Breakup by Product
  • Mobile Phones and Accessories
  • Consumer Durables/Appliances
  • Automotive
  • Computers and Peripherals
  • Others
Breakup by Type
  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
Breakup by Distribution Channel
  • Offline Stores
  • Online
Breakup by Region
  • United States
  • Canada 
Market Dynamics
  • SWOT Analysis
  • Porter's Five Forces Analysis
  • Key Indicators for Demand
  • Key Indicators for Price
Competitive Landscape
  • Market Structure
  • Company Profiles
    • Company Overview
    • Product Portfolio
    • Demographic Reach and Achievements
    • Certifications
Companies Covered
  • Cisco System Inc.
  • SAP SE
  • IBM Corporation
  • eSite Analytics
  • Retail Next. Inc.
  • Buxton
  • Tango Analytics
  • Others

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