Home > Media & Technology > Next Generation Technologies > Analytics and Business Intelligence > Retail Analytics Market
Retail Analytics Market size surpassed USD 10 billion in 2022 and is anticipated to expand at over 24% CAGR between 2023 and 2032. Rapid urbanization and expanding e-commerce sector in developing countries will drive the industry demand. Innovation, digitization, and the development of next-generation analytics tools in developed economies will further accelerate the use of big data analytics in retail.
Companies are leveraging retail analytics to offer personalized shopping experiences via customer recommendations based on prior purchases to provide better customer services. Big data analytics allows e-commerce firms to understand buying patterns of customers to interpret and act on decisive data insights. Tech giants are launching advanced retail analytical tools to address the growing need for digital solutions.
Data privacy concerns may impede the adoption of retail analytics. The advent of big data analytics has resulted in a rise in sophisticated privacy breaches. However, several companies are using data masking to tackle privacy issues and customer data safe. Large IT firms are focusing on the development of resources and guidance pertaining to retail analytics solutions for the improvement of data privacy.
Report Attribute | Details |
---|---|
Base Year: | 2022 |
Retail Analytics Market Size in 2022: | 10 Billion (USD) |
Forecast Period: | 2023 to 2032 |
Forecast Period 2023 to 2032 CAGR: | 24% |
2032 Value Projection: | 90 Billion (USD) |
Historical Data for: | 2018 to 2022 |
No. of Pages: | 250 |
Tables, Charts & Figures: | 377 |
Segments covered: | Function, Solution, Deployment Model, Enterprise Size, Field Crowdsourcing, and Region |
Growth Drivers: |
|
Pitfalls & Challenges: |
|
The COVID-19 pandemic has led to the onset of the digitization of retail businesses across the globe. The pandemic compelled a paradigm shift from traditional retail to modern e-commerce models based on advanced digital tools such as AI and analytics.
Owing to quarantine measures and strict lockdowns, retail customers rapidly switched to online shopping. The increasing prevalence of online consumption patterns further accelerated the need for innovation and digital disruption. Increasing use of AI to personalize shopping experiences, boost customer retention, and enhance sales efficiency will impel the market revenue.
The customer management segment is projected to exhibit around 25% growth rate through 2032. Customer management using analytics helps retailers to gain actionable insights from customer data and devise new strategies to improve customer loyalty via customized and buyer-centric offers. For instance, in August 2022, Monday.com, a cloud-based management software platform launched a fully customizable Monday Sales CRM to support teams working across project management, marketing, software development, and sales.
Integration and deployment service segment accounted for more than 40% share of the retail analytics market in 2022. Embedded analytics has penetrated the retail sector and has accelerated the integration and deployment of analytical solutions and data visualization capabilities into software.|
The advent of next-generation technologies such as AI and deep learning has allowed analytics service providers to correlate, assess, and evaluate retail business activities more effectively. Embedded retail analytics offers several advantages including improved decision-making, efficient analysis & data integration, and improved sales strategy. It also allows companies to predict future sales to boost profit.
On-shelf availability segment held more than 30% market share in 2022, due to their ability to effectively place re-orders and warn in case of critical stock shortages. Stockouts are a major concern for retailers worldwide. Approximately 50% of stockouts occur due to unproductive store practices such as store inventory, replenishment, ordering, and projecting. The COVID-19 pandemic dramatically fueled stockouts by 250%, accelerating the need for OSA solutions.
The cloud deployment mode segment is expected to witness growth of 25.5% from 2023 to 2032. Cloud-based data analytics is empowering the retail landscape with improved scope for the optimization of operations. It offers several advantages including business agility and better collaboration and communication with partner firms and customers. High preference for cloud platforms among retailers can be attributed to the on-demand computing power which allows them to deal with large volumes of data and deliver actionable insights in a limited period.
Europe retail analytics market is poised to grow at a CAGR of 23% during the forecast period, owing to changing customer preferences and rapid digitization. A sustainable rise in investments into AI-based digital tools to overcome inconsistencies in the supply chain and address retail shrinkage will offer lucrative opportunities for the providers of retail analytics. Europe also has a vast landscape of leading retail brands and companies boosting online presence.
Some of the key players in the market are
These companies are focusing on the development of novel analytics solutions. For instance, in June 2022, Amazon Inc. unveiled the Store Analytics service for brands offering anonymized and compiled insights on performance, ad campaigns, and promotions.
Click here to Buy Section of this Report
Market, By Function
Market, By Solution
Market, By Enterprise Size
Market, By Deployment Mode
Market, By Crowdsourcing
The above information has been provided for the following regions and countries: