Reports
Global Big Data Analytics in Retail Market Size, Forecast: By Component: Software, Service; By Deployment: On-Premise, Cloud; By Organisation Size: Large Enterprises, SMES; Regional Analysis; Market Dynamics: SWOT Analysis, Porter’s Five Forces Analysis, Key Indicators for Demand, Key Indicators for Price; Competitive Landscape; 2024-2032
Global Big Data Analytics in Retail Market Outlook
The global big data analytics in retail market size attained a value of approximately USD 8.93 billion in 2023. The market is further expected to grow in the forecast period of 2024-2032 at a CAGR of 21.8%, reaching a value of around USD 52.94 billion by 2032.
Global Big Data Analytics in Retail Market Overview
Traditional brick-and-mortar businesses have been witnessing heightened competition by the expansion of e-commerce, which offers increased convenience to consumers, while online retailers face challenges due to multiple e-commerce sellers. The ability of big data analytics in retail to improve operational efficiencies, increase sales, streamline supply chains, and improve customer relations is driving the big data analytics in retail market growth. Big data analytics is at the centre of revolutionising the retail supply chain by tracking and tracing product movement and stock levels in real-time, utilising customer data to predict buying patterns, and aid in developing effective marketing strategies. Rising disposable incomes, global expansion of retail chains, and increasing consumerism culture are anticipated to further augment the growth of the market for big data analytics in the coming years.
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Increasing Adoption of Cloud-Based Big Data Analytics in the Retail Sector Fuelling Market Growth
The growing adoption of cloud-based big data analytics in the retail market 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, cloud-based big data analytics solutions do not require as much maintenance as compared to in-house big data analytics, due to which it is widely preferred by small and medium-sized enterprises (SMEs), thereby increasing the global big data analytics in retail market share.
Retail business owners are increasingly 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 market.
Big Data Analytics in Retail Market Segmentation
Big data analytics in retail refers to the usage of analytics solutions 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 and provides various meaningful insights to retailers and aids in the decision-making process.
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Based on component, the market is divided into:
- Software
- Service
On the basis of deployment, the market is categorised into:
- On-Premise
- Cloud
By organisation size, 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 Retail to Drive the Big Data Analytics in Retail Market
Rapid digitisation and the increasing amount of data generation in the retail sector are surging the deployment of big data analytics in retail, hence bolstering the market growth. Insights from big data analytics in retail are increasingly being deployed in marketing campaigns, which is a major trend contributing to the growth of the market. With evolving retail trends owing to the increasing access to information through the internet, big data analytics helps retailers analyse consumer behaviour to surge 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 of big data analytics in retail. Big data analytics solutions are utilised to track consumer purchases and behaviour to offer suitable recommendations to consumers, thereby augmenting the market growth. In addition, it helps to customise products and services in accordance with consumer requirements, which is predicted to propel the big data analytics in retail global market growth. As consumers are increasingly seeking personalised services, big data analytics is deployed to boost consumer experience. 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 Players in the 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
- Teradata Operations, Inc.
- Wipro Limited
- Sisense Inc.
- QlikTech International AB
- Zoho Corporation Pvt. Ltd.
- Others
The comprehensive report looks into the macro and micro aspects of the market. 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.
Key Highlights of the Report
| 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:
|
| Breakup by Component |
|
| Breakup by Deployment |
|
| Breakup by Organisation Size |
|
| Breakup by Region |
|
| Market Dynamics |
|
| Competitive Landscape |
|
| 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 Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Big Data Analytics in Retail Market Analysis
8.1 Key Industry Highlights
8.2 Global Big Data Analytics in Retail Historical Market (2018-2023)
8.3 Global Big Data Analytics in Retail Market Forecast (2024-2032)
8.4 Global Big Data Analytics in Retail Market by Component
8.4.1 Software
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.2 Service
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.5 Global Big Data Analytics in Retail Market by Deployment
8.5.1 On-Premise
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 Cloud
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.6 Global Big Data Analytics in Retail Market by Organisation Size
8.6.1 Large Enterprises
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 SMES
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.7 Global Big Data Analytics in Retail Market by Region
8.7.1 North America
8.7.1.1 Historical Trend (2018-2023)
8.7.1.2 Forecast Trend (2024-2032)
8.7.2 Europe
8.7.2.1 Historical Trend (2018-2023)
8.7.2.2 Forecast Trend (2024-2032)
8.7.3 Asia Pacific
8.7.3.1 Historical Trend (2018-2023)
8.7.3.2 Forecast Trend (2024-2032)
8.7.4 Latin America
8.7.4.1 Historical Trend (2018-2023)
8.7.4.2 Forecast Trend (2024-2032)
8.7.5 Middle East and Africa
8.7.5.1 Historical Trend (2018-2023)
8.7.5.2 Forecast Trend (2024-2032)
9 North America Big Data Analytics in Retail Market Analysis
9.1 United States of America
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 Europe Big Data Analytics in Retail Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Germany
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 France
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
10.4 Italy
10.4.1 Historical Trend (2018-2023)
10.4.2 Forecast Trend (2024-2032)
10.5 Others
11 Asia Pacific Big Data Analytics in Retail Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Japan
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 India
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 ASEAN
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
11.5 Australia
11.5.1 Historical Trend (2018-2023)
11.5.2 Forecast Trend (2024-2032)
11.6 Others
12 Latin America Big Data Analytics in Retail Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Argentina
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.3 Mexico
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Others
13 Middle East and Africa Big Data Analytics in Retail Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Nigeria
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 South Africa
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
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 Teradata Operations, Inc.
16.2.6.1 Company Overview
16.2.6.2 Product Portfolio
16.2.6.3 Demographic Reach and Achievements
16.2.6.4 Certifications
16.2.7 Wipro Limited
16.2.7.1 Company Overview
16.2.7.2 Product Portfolio
16.2.7.3 Demographic Reach and Achievements
16.2.7.4 Certifications
16.2.8 Sisense Inc.
16.2.8.1 Company Overview
16.2.8.2 Product Portfolio
16.2.8.3 Demographic Reach and Achievements
16.2.8.4 Certifications
16.2.9 QlikTech International AB
16.2.9.1 Company Overview
16.2.9.2 Product Portfolio
16.2.9.3 Demographic Reach and Achievements
16.2.9.4 Certifications
16.2.10 Zoho Corporation Pvt. Ltd.
16.2.10.1 Company Overview
16.2.10.2 Product Portfolio
16.2.10.3 Demographic Reach and Achievements
16.2.10.4 Certifications
16.2.11 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 2032
2. Global Big Data Analytics in Retail Historical Market: Breakup by Component (USD Million), 2018-2023
3. Global Big Data Analytics in Retail Market Forecast: Breakup by Component (USD Million), 2024-2032
4. Global Big Data Analytics in Retail Historical Market: Breakup by Deployment (USD Million), 2018-2023
5. Global Big Data Analytics in Retail Market Forecast: Breakup by Deployment (USD Million), 2024-2032
6. Global Big Data Analytics in Retail Historical Market: Breakup by Organization Size (USD Million), 2018-2023
7. Global Big Data Analytics in Retail Market Forecast: Breakup by Organization Size (USD Million), 2024-2032
8. Global Big Data Analytics in Retail Historical Market: Breakup by Region (USD Million), 2018-2023
9. Global Big Data Analytics in Retail Market Forecast: Breakup by Region (USD Million), 2024-2032
10. North America Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2018-2023
11. North America Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2024-2032
12. Europe Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2018-2023
13. Europe Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2024-2032
14. Asia Pacific Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2018-2023
15. Asia Pacific Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2024-2032
16. Latin America Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2018-2023
17. Latin America Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2024-2032
18. Middle East and Africa Big Data Analytics in Retail Historical Market: Breakup by Country (USD Million), 2018-2023
19. Middle East and Africa Big Data Analytics in Retail Market Forecast: Breakup by Country (USD Million), 2024-2032
20. Global Big Data Analytics in Retail Market Structure
Key Questions Answered in the Report
In 2023, the global market for big data analytics in retail attained a value of approximately USD 8.93 billion.
The market is projected to grow at a CAGR of 21.8% between 2024 and 2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach around USD 52.94 billion by 2032.
The market is being driven by the growing adoption of cloud-based big data analytics in the retail sector, the cost-effectiveness of big data analytics, and increasing deployment of cloud-based big data analytics by small and medium-sized enterprises (SMEs).
The key big data analytics in retail market trends include growing generation of data in the retail sector, increasing use of big data analytics in marketing campaigns, and rising deployment of big data analytics in the online retail sector.
The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
The primary components of big data analytics in retail in the market are software and service.
The significant deployments of big data analytics in retail 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 market are Cisco Systems Inc., Adobe Inc., IBM Corporation, Oracle Corporation, SAP SE, Teradata Operations, Inc., Wipro Limited, Sisense Inc., QlikTech International AB, and Zoho Corporation Pvt. Ltd., among others.
Analyst Review
The global big data analytics in retail market attained a value of approximately USD 8.93 billion in 2023, 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 online retail, the market is expected to witness a further growth in the forecast period of 2024-2032, growing at a CAGR of 21.8%. The market is projected to reach about USD 52.94 billion by 2032.
EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the market. Based on component, the market is segmented into software and service. On the basis of deployment, the market is divided into on-premise and cloud. By organisation size, 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, SAP SE, Teradata Operations, Inc., Wipro Limited, Sisense Inc., QlikTech International AB, and Zoho Corporation Pvt. Ltd., 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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