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North America Big Data Analytics in Refurbished Retail Market Size, Share, Growth, Trends: By Component: Software, Services; By Product: Mobile Phones and Accessories, Consumer Durables/Appliances, Others; By Type; By Distribution Channel; Regional Analysis; Competitive Landscape; Industry Events and Developments; 2022-2027

North America Big Data Analytics in Refurbished Retail Market Outlook

The North America big data analytics in refurbished retail market is expected to grow at a CAGR of 24.1%.

 

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.

 

Market Analysis

Based on component, the North America big data analytics in refurbished retail market can be segmented into software and service. According to the product, the market is segmented into mobile phones and accessories, consumer durables/appliances, automotive, and computers and peripherals, among others. On the basis of type, the market is categorised into descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. Based on the distribution channel, it can be segregated into offline stores and online. The regional markets for the big data analytics in refurbished retail market can be divided into the United States and Canada.

 

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.
  • SAP SE
  • IBM Corporation
  • eSite Analytics
  • Retail Next. Inc.
  • Buxton
  • Tango Analytics
  • Others

 

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

  • 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 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 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.

 

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

 

Key Highlights of the Report

REPORT FEATURES DETAILS
Base Year 2021
Historical Period 2017-2021
Forecast Period 2022-2027
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
  • Porter's Five Forces
  • 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

 

*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR 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 (2017-2021) 
    8.3    North America Big Data Analytics in Refurbished Retail Market Forecast (2022-2027)
    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 (2017-2021)
            8.4.1.3    Forecast Trend (2022-2027)
        8.4.2    Service
            8.4.2.1    Market Share
            8.4.2.2    Historical Trend (2017-2021)
            8.4.2.3    Forecast Trend (2022-2027)
    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 (2017-2021)
            8.5.1.3    Forecast Trend (2022-2027)
        8.5.2    Consumer Durables/Appliances
            8.5.2.1    Market Share
            8.5.2.2    Historical Trend (2017-2021)
            8.5.2.3    Forecast Trend (2022-2027)
        8.5.3    Automotive
            8.5.3.1    Market Share
            8.5.3.2    Historical Trend (2017-2021)
            8.5.3.3    Forecast Trend (2022-2027)
        8.5.4    Computers and Peripherals
            8.5.4.1    Market Share
            8.5.4.2    Historical Trend (2017-2021)
            8.5.4.3    Forecast Trend (2022-2027)
            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 (2017-2021)
            8.6.1.3    Forecast Trend (2022-2027)
        8.6.2    Diagnostic Analytics
            8.6.2.1    Market Share
            8.6.2.2    Historical Trend (2017-2021)
            8.6.2.3    Forecast Trend (2022-2027)
        8.6.3    Predictive Analytics
            8.6.3.1    Market Share
            8.6.3.2    Historical Trend (2017-2021)
            8.6.3.3    Forecast Trend (2022-2027)
        8.6.4    Prescriptive Analytics
            8.6.4.1    Market Share
            8.6.4.2    Historical Trend (2017-2021)
            8.6.4.3    Forecast Trend (2022-2027)
    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 (2017-2021)
            8.7.1.3    Forecast Trend (2022-2027)
        8.7.2    Online
            8.7.2.1    Market Share
            8.7.2.2    Historical Trend (2017-2021)
            8.7.2.3    Forecast Trend (2022-2027)
    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 (2017-2021)
        9.1.2    Forecast Trend (2022-2027)
    9.2    Canada
        9.2.1    Historical Trend (2017-2021)
        9.2.2    Forecast Trend (2022-2027)
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, 2017 and 2027
2.    North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Component (USD Million), 2017-2021
3.    North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Component (USD Million), 2022-2027
4.    North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Product (USD Million), 2017-2021
5.    North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Product (USD Million), 2022-2027
6.    North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Type (USD Million), 2017-2021
7.    North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Type (USD Million), 2022-2027
8.    North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Distribution Channel (USD Million), 2017-2021
9.    North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Distribution Channel (USD Million), 2022-2027
10.    North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Country (USD Million), 2017-2021
11.    North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Country (USD Million), 2022-2027
12.    North America Big Data Analytics in Refurbished Retail Market Structure

Key Questions Answered in the Report

The market in North America is assessed to grow at a CAGR of 24.1% between 2022 and 2027.

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.

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