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The global big data analytics in retail market size reached USD 8.93 billion in 2023. The market is expected to grow at a CAGR of 21.8% between 2024 and 2032, reaching almost USD 52.94 billion by 2032.
Big data analytics revolutionizes the retail sector, offering in-depth insights into consumer behaviour, preferences, and trends. Retailers utilize this abundance of data to enhance customer experiences, streamline inventory management, and personalise marketing strategies.
As per the global big data analytics in retail market report, by analysing vast datasets in real-time, companies can make informed decisions, accurately forecast demand, and customize their offerings to nurture customer loyalty. This data-driven approach not only improves sales and profitability but also enables retailers to stay adaptable in a dynamic market, swiftly adapting to changing consumer demands and maintaining a competitive advantage.
As per Statistics Canada, Canadian retail sales for 2023 reached $794.4 billion, marking a 2.2% increase from the previous year. This uptick in sales contributes to the overall expansion of global big data analytics in retail market.
The expansion of the global big data analytics in retail market is driven by the integration of IoT, optimization of supply chains, predictive maintenance, and ethical data utilization.
February 2024
Circana™, a top consumer behaviour advisor, unveiled Liquid Data Engage™ globally, simplifying retail challenges by integrating market, category, loyalty, and supply chain data for growth.
January 2024
Microsoft introduced GenAI and industry-specific features in data fabric, including GenAI Copilots, to enhance retail personalization and support frontline workers.
November 2023
Industry leaders observed that technologies such as generative AI, machine learning, and big data analytics transformed India's e-commerce and retail, enhancing consumer experiences.
March 2023
KPMG aimed to provide retail clients with a competitive edge with Dash, a digital tool merging business data and AI for improved decisions.
IoT Integration
The use of IoT devices in stores provides instant insights into customer behaviour, foot traffic, and product interactions. This helps retailers enhance store layouts, placements, and customer experiences, thereby fuelling the expansion of the global big data analytics market in retail market.
Supply Chain Optimization
The global big data analytics in retail market growth is driven by the utilization of big data analytics improves inventory management, driving supply chain efficiency, cost reduction, and stockout minimization via predictive analytics and demand forecasting.
Predictive Maintenance
By implementing big data analytics for equipment monitoring and maintenance scheduling, retail businesses minimize downtime, enhance operational efficiency, and ensure uninterrupted customer service, thereby contributing to the global retail big data analytics market growth.
Ethical Data Use
Retailers give top priority to data privacy and security, following regulations and adopting transparent data practices to establish customer trust. This safeguards sensitive information while leveraging the potential of big data for business expansion.
As per the global big data analytics in retail market report, retailers are frequently employing AI algorithms to examine customer data, providing customized shopping experiences via personalized recommendations and focused marketing. Analysing customer sentiments enables retailers to tailor marketing, product creation, and customer service to evolving preferences.
Swift data processing enables retailers to promptly react to customer behaviour, refining pricing, promotions, and inventory in real-time.
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Global Big Data Analytics in Retail Market Report and Forecast 2024-2032 offers a detailed analysis of the market based on the following segments:
Market Breakup by Component
Market Breakup by Deployment
Market Breakup by Organisation Size
Market Breakup by Region
The global big data analytics in retail market is experiencing growth due to the adoption of cloud-based solutions which offer scalability to meet changing data requirements
Cloud-based solutions offer cost efficiency via pay-as-you-go models, accessible data for collaboration and quick decision-making, rapid tool deployment for adapting to trends, and advanced analytics without in-house development.
On-premises solutions ensure data control for compliance, customized analytics, fast processing for real-time insights, and compliance with data sovereignty laws through geographic restrictions.
Based on organisation size, global big data analytics in retail market share is led by large enterprises
For large retailers, big data analytics facilitates personalized customer experiences, streamlined inventory management, and operational efficiency, resulting in enhanced productivity and cost reduction.
For SMEs, big data analytics provides customer insights for tailored products, cost-effective marketing strategies, optimized inventory management, and improved customer service, fostering customer engagement and loyalty.
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Market players are enhancing global big data analytics in retail market by providing a variety of technology services.
Cisco Systems Inc., established in 1984 and headquartered in San Jose, California, stands at the forefront of the global networking technology industry. It delivers networking, security, collaboration, and cloud services to organizations on a global scale.
Adobe Inc., founded in 1982 and located in San Jose, California, is widely recognized for its innovative creative and digital experience software such as Photoshop, Illustrator, and Acrobat. Adobe's solutions empower creativity, facilitate marketing efforts, and streamline document management.
IBM Corporation, with its origins dating back to 1911 and its headquarters in Armonk, New York, has been a trailblazer in computing technologies. IBM offers an array of technology services spanning from mainframes and servers to cutting-edge cloud computing and artificial intelligence solutions.
Oracle Corporation, established in 1977 and headquartered in Redwood City, California, leads the way in database software and enterprise cloud solutions globally. Oracle provides a comprehensive suite of applications, platforms, and tools to businesses of all sizes.
Other key players in the global big data analytics in retail market are SAP SE, Teradata Corporation, Wipro Limited, Sisense Ltd., QlikTech International AB, and Zoho Corporation Pvt. Ltd., among others.
Based on geography, the global big data analytics in retail market share is led by North America. Rapid digitalization and the increasing volume of data generated in the retail industry are fuelling the adoption of big data analytics, leading to market growth. Insights derived from retail big data analytics are increasingly utilized in marketing campaigns, a significant trend boosting the market.
In the Asia Pacific region, the rising adoption of big data analytics to analyse consumer behaviour in the online retail sector is propelling market growth. Retailers use big data analytics solutions to monitor consumer purchases and behaviour, providing tailored recommendations, thus driving market expansion.
As per the National Investment, Promotion, and Facilitation Agency, India secured the second position in the Global Retail Development Index (GRDI) for 2021. The retail industry contributes more than 10% to India's GDP and employs approximately 8% of its workforce, totalling over 35 million people. Projections suggest the sector will generate 25 million new jobs by 2030.
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 Deployment |
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Breakup by Organisation Size |
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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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*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
Get in touch with us today for customized, data-driven solutions tailored to your unique requirements!
The market was valued at USD 8.93 billion in 2023.
The market is projected to grow at a CAGR of 21.8% between 2024 and 2032.
The revenue generated from big data analytics in retail market is expected to reach USD 52.94 billion in 2032.
The expansion of big data analytics in retail market is driven by the integration of IoT, optimization of supply chains, predictive maintenance, and ethical data utilization.
Big data analytics in retail market is categorised according to its component, which includes software and service.
The major players in the market are Cisco Systems Inc., Adobe Inc., IBM Corporation, Oracle Corporation, SAP SE, Teradata Corporation, Wipro Limited, Sisense Ltd., QlikTech International AB, and Zoho Corporation Pvt. Ltd., among others.
Based on the deployment, big data analytics in retail market is divided into on-premises and cloud.
The major areas include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
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