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Retail Analytics Market 2024: Trends, Share, Growth, Innovation and Forecast 2029

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Retail Analytics Market 2024: Trends, Share, Growth, Innovation and Forecast 2029

The Retail Analytics Market Size is predicted to grow from USD 8.5 billion in 2024 to USD 25.0 billion by 2029, with a projected CAGR of 24.0%, as per MarketsandMarkets™.

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The retail analytics market is expected to grow significantly during the forecast period, owing to various business drivers like the increasing increasing adoption of omni-channel retail strategies, exponential growth of e-commerce platforms, and proliferation of data generated through diverse channels is also responsible for driving the market’s growth.

By software by analytics type, the predictive analytics segment is expected to register the largest market size during the forecast period. Predictive analytics software can help forecast sales volumes, identify demand fluctuations, and predict customer preferences, enabling retailers to optimize pricing strategies, allocate resources efficiently, and tailor marketing campaigns to target specific customer segments. Recent advancements in predictive analytics technology, including the integration of AI and machine learning algorithms, have further enhanced the capabilities of predictive analytics software, enabling retailers to gain deeper insights, make more accurate predictions, and drive greater business value.

Regional Analysis

Asia Pacific is witnessing significant growth in the retail analytics market. The surging popularity of e-commerce, with regions like China and India leading the charge, is a major growth driver. Retailers are increasingly reliant on data to understand online consumer behaviour, optimize pricing and promotions, and personalize marketing efforts. Additionally, the growing adoption of the Internet of Things (IoT) in stores is generating vast amounts of data on customer traffic, product interaction, and inventory levels.

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Top Companies in the market

Some major players in the retail analytics market include Microsoft (US), IBM (US), SAP (Germany), Oracle (US), Salesforce (US), MicroStrategy (US), SAS Institute (US), AWS (US), Qlik (US), Teradata (US), WNS (India), HCL (India), Lightspeed Commerce (Canada), RetailNext (US), Manthan Systems (India), Fit Analytics (Germany), Trax (Singapore), ThoughtSpot (US), RELEX Solutions (Finland), Tredence (US), Creatio (US), Solvoyo (US), datapine (Germany), Sisense (US), EDITED (UK), Retail Zipline (US), ThinkINside (Italy), Dor Technologies (US), Triple Whale (Israel), Flame Analytics (Spain), Alloy.ai Technologies (US), Conjura (UK), Kyvos Insights (US), Pygmalios (Slovakia), and SymphonyAI (US).

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