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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 (2018-2028); 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 2023-2028 at a CAGR of 23.40% to reach nearly USD 20,826.6 million by 2027.
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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.
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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.
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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 | 2022 |
| Historical Period | 2018-2022 |
| Forecast Period | 2023-2028 |
| 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. |
*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 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 (2018-2022)
8.3 Global Big Data Analytics in Retail Market Forecast (2023-2028)
8.4 Global Big Data Analytics in Retail Market by Component
8.4.1 Software
8.4.1.1 Historical Trend (2018-2022)
8.4.1.2 Forecast Trend (2023-2028)
8.4.2 Service
8.4.2.1 Historical Trend (2018-2022)
8.4.2.2 Forecast Trend (2023-2028)
8.5 Global Big Data Analytics in Retail Market by Deployment
8.5.1 On-Premise
8.5.1.1 Historical Trend (2018-2022)
8.5.1.2 Forecast Trend (2023-2028)
8.5.2 Cloud
8.5.2.1 Historical Trend (2018-2022)
8.5.2.2 Forecast Trend (2023-2028)
8.6 Global Big Data Analytics in Retail Market by Organisation Size
8.6.1 Large Enterprises
8.6.1.1 Historical Trend (2018-2022)
8.6.1.2 Forecast Trend (2023-2028)
8.6.2 SMES
8.6.2.1 Historical Trend (2018-2022)
8.6.2.2 Forecast Trend (2023-2028)
8.7 Global Big Data Analytics in Retail Market by Region
8.7.1 North America
8.7.1.1 Historical Trend (2018-2022)
8.7.1.2 Forecast Trend (2023-2028)
8.7.2 Europe
8.7.2.1 Historical Trend (2018-2022)
8.7.2.2 Forecast Trend (2023-2028)
8.7.3 Asia Pacific
8.7.3.1 Historical Trend (2018-2022)
8.7.3.2 Forecast Trend (2023-2028)
8.7.4 Latin America
8.7.4.1 Historical Trend (2018-2022)
8.7.4.2 Forecast Trend (2023-2028)
8.7.5 Middle East and Africa
8.7.5.1 Historical Trend (2018-2022)
8.7.5.2 Forecast Trend (2023-2028)
9 North America Big Data Analytics in Retail Market Analysis
9.1 United States of America
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 Europe Big Data Analytics in Retail Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2022)
10.1.2 Forecast Trend (2023-2028)
10.2 Germany
10.2.1 Historical Trend (2018-2022)
10.2.2 Forecast Trend (2023-2028)
10.3 France
10.3.1 Historical Trend (2018-2022)
10.3.2 Forecast Trend (2023-2028)
10.4 Italy
10.4.1 Historical Trend (2018-2022)
10.4.2 Forecast Trend (2023-2028)
10.5 Others
11 Asia Pacific Big Data Analytics in Retail Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2022)
11.1.2 Forecast Trend (2023-2028)
11.2 Japan
11.2.1 Historical Trend (2018-2022)
11.2.2 Forecast Trend (2023-2028)
11.3 India
11.3.1 Historical Trend (2018-2022)
11.3.2 Forecast Trend (2023-2028)
11.4 ASEAN
11.4.1 Historical Trend (2018-2022)
11.4.2 Forecast Trend (2023-2028)
11.5 Australia
11.5.1 Historical Trend (2018-2022)
11.5.2 Forecast Trend (2023-2028)
11.6 Others
12 Latin America Big Data Analytics in Retail Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2022)
12.1.2 Forecast Trend (2023-2028)
12.2 Argentina
12.2.1 Historical Trend (2018-2022)
12.2.2 Forecast Trend (2023-2028)
12.3 Mexico
12.3.1 Historical Trend (2018-2022)
12.3.2 Forecast Trend (2023-2028)
12.4 Others
13 Middle East and Africa Big Data Analytics in Retail Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2022)
13.1.2 Forecast Trend (2023-2028)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2022)
13.2.2 Forecast Trend (2023-2028)
13.3 Nigeria
13.3.1 Historical Trend (2018-2022)
13.3.2 Forecast Trend (2023-2028)
13.4 South Africa
13.4.1 Historical Trend (2018-2022)
13.4.2 Forecast Trend (2023-2028)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Value Chain Analysis
16 Competitive Landscape
16.1 Market Structure
16.2 Company Profiles
16.2.1 Cisco Systems Inc.
16.2.1.1 Company Overview
16.2.1.2 Product Portfolio
16.2.1.3 Demographic Reach and Achievements
16.2.1.4 Certifications
16.2.2 Adobe Inc.
16.2.2.1 Company Overview
16.2.2.2 Product Portfolio
16.2.2.3 Demographic Reach and Achievements
16.2.2.4 Certifications
16.2.3 IBM Corporation
16.2.3.1 Company Overview
16.2.3.2 Product Portfolio
16.2.3.3 Demographic Reach and Achievements
16.2.3.4 Certifications
16.2.4 Oracle Corporation
16.2.4.1 Company Overview
16.2.4.2 Product Portfolio
16.2.4.3 Demographic Reach and Achievements
16.2.4.4 Certifications
16.2.5 SAP SE
16.2.5.1 Company Overview
16.2.5.2 Product Portfolio
16.2.5.3 Demographic Reach and Achievements
16.2.5.4 Certifications
16.2.6 Others
17 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Big Data Analytics in Retail Market: Key Industry Highlights, 2018 and 2028
2. Global Big Data Analytics in Retail Historical Market: Breakup by Component (USD Million), 2018-2022
3. Global Big Data Analytics in Retail Market Forecast: Breakup by Component (USD Million), 2023-2028
4. Global Big Data Analytics in Retail Historical Market: Breakup by Deployment (USD Million), 2018-2022
5. Global Big Data Analytics in Retail Market Forecast: Breakup by Deployment (USD Million), 2023-2028
6. Global Big Data Analytics in Retail Historical Market: Breakup by Organization Size (USD Million), 2018-2022
7. Global Big Data Analytics in Retail Market Forecast: Breakup by Organization Size (USD Million), 2023-2028
8. Global Big Data Analytics in Retail Historical Market: Breakup by Region (USD Million), 2018-2022
9. Global Big Data Analytics in Retail Market Forecast: Breakup by Region (USD Million), 2023-2028
10. North America Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2018-2022
11. North America Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2023-2028
12. Europe Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2018-2022
13. Europe Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2023-2028
14. Asia Pacific Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2018-2022
15. Asia Pacific Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2023-2028
16. Latin America Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2018-2022
17. Latin America Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2023-2028
18. Middle East and Africa Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2018-2022
19. Middle East and Africa Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2023-2028
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 2023 and 2028.
The market is estimated to witness a healthy growth in the forecast period of 2023-2028 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 2023-2028, 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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