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Global Big Data Analytics in Retail Market: By Component: Software, Service; By Deployment: On-Premise, Cloud; By Organisation Size: Large Enterprises, SMES; Regional Analysis; Historical Market and Forecast (2017-2027); Market Dynamics; Value Chain Analysis; Competitive Landscape; Industry Events and Developments

Global Big Data Analytics in Retail Market Outlook

The global big data analytics in retail market attained a value of about USD 5,898.3 million in 2021. The market is further expected to grow in the forecast period of 2022-2027 at a CAGR of 23.40% to reach nearly USD 20,826.6 million by 2027.

 

Global Big Data Analytics in Retail Market

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Increasing Adoption of Cloud-Based Big Data Analytics in the Retail Sector Fuelling the Market Growth

The growing adoption of cloud-based big data analytics in the retail industry is augmenting the market growth. As cloud-based big data analytics offer enhanced flexibility and cost-effectiveness, it is increasingly used by organisations to gain valuable insights from structured and unstructured data, hence driving the market growth.

Moreover, the cloud-based big data analytics do not require maintenance as compared to in-house big data analytics, due to which it is widely preferred by medium and small-sized enterprises (MSMEs), thereby aiding the growth of the market.

As the surge of the COVID-19 pandemic led to rapid business transformation, business owners are leveraging cloud-based big data analytics to manage a plethora of data, which is significantly contributing to the market for big data analytics in retail. The increasing use of big data analytics to enhance the visibility and transparency of supply chains while optimising inventory levels is further fuelling the growth of the industry.

 

Big Data Analytics in Retail: Market Segmentation

Big data analytics in retail refers to a solution that deploys various analytical techniques to capture, process, and manage diverse and large data sets in the retail sector. It optimises supply chain management and prices to enhance consumer loyalty.  It provides various meaningful insights to retailers and aids in the decision-making process.

 

Global Big Data Analytics in Retail Market by Segment

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The major components of big data analytics in retail are:

  • Software
  • Service

The market can be broadly categorised on the basis of its deployment into:

  • On-Premise
  • Cloud

By organisation sizes, the market is bifurcated into:

  • Large Enterprises
  • SMES

The EMR report looks into the regional markets of big data analytics in retail like North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.

 

Global Big Data Analytics in Retail Market by Region

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Increasing Data Generation in the Retail Industry to Drive the Market for Big Data Analytics

The rapid digitisation and the increasing amount of data in the retail sector are surging the deployment of big data analytics, hence bolstering the market growth. In addition, data collected from big data analytics is increasingly deployed in marketing campaigns, which is significantly contributing to the growth of the industry. With the evolving retail trends owing to the increasing access to information through the internet, big data analytics aids retailers analyse consumer behaviour to surge their profitability, which is anticipated to augment the market growth in the forecast period.

The growing deployment of big data analytics to assess consumer behaviour in the online retail sector is driving the market growth. The solution is utilised to track consumer purchases and behaviour to offer suitable recommendations to consumers, thereby augmenting the industry growth. In addition, it customises products and services in accordance with consumer requirements, which is predicted to propel the industry growth. As consumers are increasingly seeking personalised services, big data analytics is deployed to boost consumer experience. The rising investments in big data analytics by leading online retail platforms to enhance their services are expected to provide further impetus to the growth of the market.

 

Key Industry Players in the Global Big Data Analytics in Retail Market

The report presents a detailed analysis of the following key players in the global big data analytics in retail market, looking into their capacity, market shares, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:

  • Cisco Systems Inc. 
  • Adobe Inc.
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Others

The comprehensive report looks into the macro and micro aspects of the industry. The EMR report gives an in-depth insight into the market by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.

 

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, Deployment, Organisation Size, Region
Breakup by Component Software, Service
Breakup by Deployment On-Premise, Cloud
Breakup by Organisation Size Large Enterprises, SMES
Breakup by Region North America, Europe, Asia Pacific, Latin America, Middle East and Africa
Market Dynamics SWOT, Porter's Five Forces, Key Indicators for Price and Demand
Competitive Landscape Market Structure, Company Profiles- Company Overview, Product Portfolio, Demographic Reach and Achievements, Certifications
Companies Covered Cisco Systems Inc., Adobe Inc., IBM Corporation, Oracle Corporation, SAP SE, Others
Report Price and Purchase Option Explore our purchase options that are best suited to your resources and industry needs.
Delivery Format Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option.

 

*We at Expert Market Research always thrive to give you 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    Snapshot
    6.1    Global
    6.2    Regional
7    Industry Opportunities and Challenges
8    Global Big Data Analytics in Retail Market Analysis

    8.1    Key Industry Highlights
    8.2    Global Big Data Analytics in Retail Historical Market (2017-2021) 
    8.3    Global Big Data Analytics in Retail Market Forecast (2022-2027)
    8.4    Global Big Data Analytics in 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    Global Big Data Analytics in Retail Market by Deployment
        8.5.1    On-Premise
            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    Cloud
            8.5.2.1    Market Share
            8.5.2.2    Historical Trend (2017-2021)
            8.5.2.3    Forecast Trend (2022-2027)
    8.6    Global Big Data Analytics in Retail Market by Organisation Size
        8.6.1    Large Enterprises
            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    SMES
            8.6.2.1    Market Share
            8.6.2.2    Historical Trend (2017-2021)
            8.6.2.3    Forecast Trend (2022-2027)
    8.7    Global Big Data Analytics in Retail Market by Region
        8.7.1    Market Share
            8.7.1.1    North America
            8.7.1.2    Europe
            8.7.1.3    Asia Pacific
            8.7.1.4    Latin America
            8.7.1.5    Middle East and Africa
9    Regional Analysis
    9.1    North America
        9.1.1    Historical Trend (2017-2021)
        9.1.2    Forecast Trend (2022-2027)
        9.1.3    Breakup by Country
            9.1.3.1    United States of America 
            9.1.3.2    Canada
    9.2    Europe
        9.2.1    Historical Trend (2017-2021)
        9.2.2    Forecast Trend (2022-2027)
        9.2.3    Breakup by Country 
            9.2.3.1    United Kingdom
            9.2.3.2    Germany
            9.2.3.3    France
            9.2.3.4    Italy
            9.2.3.5    Others
    9.3    Asia Pacific
        9.3.1    Historical Trend (2017-2021)
        9.3.2    Forecast Trend (2022-2027)
        9.3.3    Breakup by Country
            9.3.3.1    China
            9.3.3.2    Japan
            9.3.3.3    India
            9.3.3.4    ASEAN
            9.3.3.5    Australia
            9.3.3.6    Others
    9.4    Latin America
        9.4.1    Historical Trend (2017-2021)
        9.4.2    Forecast Trend (2022-2027)
        9.4.3    Breakup by Country
            9.4.3.1    Brazil
            9.4.3.2    Argentina
            9.4.3.3    Mexico
            9.4.3.4    Others
    9.5    Middle East and Africa
        9.5.1    Historical Trend (2017-2021)
        9.5.2    Forecast Trend (2022-2027)
        9.5.3    Breakup by Country
            9.5.3.1    Saudi Arabia
            9.5.3.2    United Arab Emirates
            9.5.3.3    Nigeria
            9.5.3.4    South Africa
            9.5.3.5    Others
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
    10.3    Key Indicators for Demand
    10.4    Key Indicators for Price
11    Value Chain Analysis
12    Competitive Landscape

    12.1    Market Structure
    12.2    Company Profiles
        12.2.1    Cisco Systems Inc. 
            12.2.1.1    Company Overview
            12.2.1.2    Product Portfolio
            12.2.1.3    Demographic Reach and Achievements
            12.2.1.4    Certifications
        12.2.2    Adobe Inc.
            12.2.2.1    Company Overview
            12.2.2.2    Product Portfolio
            12.2.2.3    Demographic Reach and Achievements
            12.2.2.4    Certifications
        12.2.3     IBM Corporation
            12.2.3.1    Company Overview
            12.2.3.2    Product Portfolio
            12.2.3.3    Demographic Reach and Achievements
            12.2.3.4    Certifications
        12.2.4    Oracle Corporation
            12.2.4.1    Company Overview
            12.2.4.2    Product Portfolio
            12.2.4.3    Demographic Reach and Achievements
            12.2.4.4    Certifications
        12.2.5    SAP SE
            12.2.5.1    Company Overview
            12.2.5.2    Product Portfolio
            12.2.5.3    Demographic Reach and Achievements
            12.2.5.4    Certifications
        12.2.6    Others
13    Industry Events and Developments


List of Key Figures and Tables

1.    Global Big Data Analytics in Retail Market: Key Industry Highlights, 2017 and 2027
2.    Global Big Data Analytics in Retail Historical Market: Breakup by Component (USD Million), 2017-2021
3.    Global Big Data Analytics in Retail Market Forecast: Breakup by Component (USD Million), 2022-2027
4.    Global Big Data Analytics in Retail Historical Market: Breakup by Deployment (USD Million), 2017-2021
5.    Global Big Data Analytics in Retail Market Forecast: Breakup by Deployment (USD Million), 2022-2027
6.    Global Big Data Analytics in Retail Historical Market: Breakup by Organization Size (USD Million), 2017-2021
7.    Global Big Data Analytics in Retail Market Forecast: Breakup by Organization Size (USD Million), 2022-2027
8.    Global Big Data Analytics in Retail Historical Market: Breakup by Region (USD Million), 2017-2021
9.    Global Big Data Analytics in Retail Market Forecast: Breakup by Region (USD Million), 2022-2027
10.    North America Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2017-2021
11.    North America Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2022-2027
12.    Europe Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2017-2021
13.    Europe Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2022-2027
14.    Asia Pacific Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2017-2021
15.    Asia Pacific Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2022-2027
16.    Latin America Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2017-2021
17.    Latin America Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2022-2027
18.    Middle East and Africa Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2017-2021
19.    Middle East and Africa Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2022-2027
20.    Global Big Data Analytics in Retail Market Structure

Key Questions Answered in the Report

In 2021, the global big data analytics in retail market attained a value of nearly USD 5,898.3 million.

The market is projected to grow at a CAGR of 23.40% between 2022 and 2027.

The market is estimated to witness a healthy growth in the forecast period of 2022-2027 to reach about USD 20,826.6 million by 2027.

The market is being aided by the growing adoption of cloud-based big data analytics in the retail sector, the cost-effectiveness of big data analytics, and the increasing deployment of cloud-based big data analytics by medium and small-sized enterprises (MSMEs).

The industry is expected to be driven by the growing generation of data in the retail sector, the increasing use of big data analytics in marketing campaigns, and the rising deployment of big data analytics in the online retail sector.

The major regions in the industry are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.

The major components of big data analytics in retail are software and service.

The significant deployments in the market are on-premise and cloud.

The various organisation sizes of data analytics in retail are large enterprises and SMES.

The major players in the industry are Cisco Systems Inc., Adobe Inc., IBM Corporation, Oracle Corporation, and SAP SE, among others.

Analyst Review

The global big data analytics in retail market attained a value of nearly USD 5,898.3 million in 2021, driven by the growing adoption of cloud-based big data analytics in the retail sector. Aided by the rising deployment of big data analytics in the online retail sector, the market is expected to witness a further growth in the forecast period of 2022-2027, growing at a CAGR of 23.40%. The market is projected to reach about USD 20,826.6 million by 2027.

EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. Based on its components, the big data analytics in retail industry can be segmented into software and service. On the basis of deployments, the industry is divided into on-premise and cloud. By organisation sizes, the market is bifurcated into large enterprises and SMES. The major regional markets for big data analytics in retail are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. The key players in the above market include Cisco Systems Inc., Adobe Inc., IBM Corporation, Oracle Corporation, and SAP SE, among others.

EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.

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