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The North America big data analytics in refurbished retail market is expected to grow at a CAGR of 24.1%.
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.
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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.
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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.
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.
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.
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Other major players include eSite Analytics, Retail Next. Inc., Buxton, and Tango Analytics, among others.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Component |
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Breakup by Product |
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Breakup by Type |
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Breakup by Distribution Channel |
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Breakup by Region |
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Market Dynamics |
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Competitive Landscape |
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Companies Covered |
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*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 (2018-2023)
8.3 North America Big Data Analytics in Refurbished Retail Market Forecast (2024-2032)
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 (2018-2023)
8.4.1.3 Forecast Trend (2024-2032)
8.4.2 Service
8.4.2.1 Market Share
8.4.2.2 Historical Trend (2018-2023)
8.4.2.3 Forecast Trend (2024-2032)
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 (2018-2023)
8.5.1.3 Forecast Trend (2024-2032)
8.5.2 Consumer Durables/Appliances
8.5.2.1 Market Share
8.5.2.2 Historical Trend (2018-2023)
8.5.2.3 Forecast Trend (2024-2032)
8.5.3 Automotive
8.5.3.1 Market Share
8.5.3.2 Historical Trend (2018-2023)
8.5.3.3 Forecast Trend (2024-2032)
8.5.4 Computers and Peripherals
8.5.4.1 Market Share
8.5.4.2 Historical Trend (2018-2023)
8.5.4.3 Forecast Trend (2024-2032)
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 (2018-2023)
8.6.1.3 Forecast Trend (2024-2032)
8.6.2 Diagnostic Analytics
8.6.2.1 Market Share
8.6.2.2 Historical Trend (2018-2023)
8.6.2.3 Forecast Trend (2024-2032)
8.6.3 Predictive Analytics
8.6.3.1 Market Share
8.6.3.2 Historical Trend (2018-2023)
8.6.3.3 Forecast Trend (2024-2032)
8.6.4 Prescriptive Analytics
8.6.4.1 Market Share
8.6.4.2 Historical Trend (2018-2023)
8.6.4.3 Forecast Trend (2024-2032)
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 (2018-2023)
8.7.1.3 Forecast Trend (2024-2032)
8.7.2 Online
8.7.2.1 Market Share
8.7.2.2 Historical Trend (2018-2023)
8.7.2.3 Forecast Trend (2024-2032)
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 (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.2 Canada
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
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 2032
2. North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Component (USD Million), 2018-2023
3. North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Component (USD Million), 2024-2032
4. North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Product (USD Million), 2018-2023
5. North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Product (USD Million), 2024-2032
6. North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Type (USD Million), 2018-2023
7. North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Type (USD Million), 2024-2032
8. North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Distribution Channel (USD Million), 2018-2023
9. North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Distribution Channel (USD Million), 2024-2032
10. North America Big Data Analytics in Refurbished Retail Historical Market: Breakup by Country (USD Million), 2018-2023
11. North America Big Data Analytics in Refurbished Retail Market Forecast: Breakup by Country (USD Million), 2024-2032
12. North America Big Data Analytics in Refurbished Retail Market Structure
The market in North America is assessed to grow at a CAGR of 24.1% between 2024 and 2032.
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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