Reasons to Read

Unlock the future of retail media with insights into the global market, projected to grow at a 14.0% year-over-year pace through 2026. Dive into 10 game-changing trends that are shaping the future of advertising.

  • How are RMNs expanding beyond sales incrementality to support brand-building with AI-driven campaigns?
  • Why is in-store media becoming a game-changer for marketing strategies?
  • How is CTV transforming retail media with shoppable features and closed-loop measurement?
  • How is AI optimizing ad formats, targeting and workflow automation?
  • How are retailers using first-party data to gain a competitive edge in a privacy-first environment?
  • How can retailers and brands improve performance by integrating marketing, sales and technology teams?

Companies mentioned in this report include: Amazon, Best Buy, Frasers Group, Kroger, Rockbot, Ulta Beauty and Walmart.

This report is sponsored by Rockbot, a leader in in-store media solutions that empowers businesses with audio, digital signage, retail promotions and more.

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Reasons to Read

Ready to drive sales and profitability with smarter, more agile retail planning? This report unveils how Merchandise Financial Planning (MFP) software can optimize inventory, enhance customer-centric assortments, and improve financial performance. Learn why it’s a must-have tool for modern retail businesses navigating economic uncertainty and rapidly shifting consumer behaviors.

Discover how AI-powered MFP solutions can elevate your planning strategy with cutting-edge machine learning algorithms, boosting forecast accuracy, streamlining workflow, and even enhancing personalization—but are you tapping into its full potential?

Below are the key reasons to read this research:

  1. Unlock Financial Benefits: 65% of retailers cite improved financial performance with MFP software, yielding an average 6% increase in gross sales and 1.1 percentage points in margin expansion. This solution is proven to create immediate ROI—up to 300%-400% within just one year.
  2. Tackle MFP Execution Challenges: 49% of retailers struggle with lack of real-time data, which leads to inventory mismatches and poor decision-making. This report highlights the critical role of data centralization in overcoming these obstacles and driving faster, more informed decisions.
  3. Enhance Forecast Accuracy with AI: Learn how AI and machine learning can transform your merchandise planning. From predictive analytics to scenario planning, AI can unlock advanced capabilities and enhance your supply chain resilience.
  4. Learn Practical Strategies to Optimize MFP: Find out how to build agile data architectures, improve collaboration across functions, and leverage AI for dynamic adjustments, keeping your business relevant and responsive to market shifts.
  5. Seize the Market Opportunity: The global MFP software market is growing fast, expected to reach $5.8 billion by 2030 with a CAGR of 9.1%. Stay ahead of the curve by adopting the right tools that optimize your financial and merchandising plans.

This report is made available to non-subscribers of Coresight Research through its sponsorship by Board, an enterprise retail planning platform.

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Reasons to Read

Discover five pillars shaping China’s retail landscape in 2026—from policy-driven consumption and AI innovation to instant retail, experiential formats and RaaS-fueled revenue diversification. This report is part of our global 2026 Retail Predictions series.

Read this report to discover answers to these and other questions:

  • How will policy-backed trade-in and subsidy programs support moderate but resilient retail sales growth in 2026 and beyond?
  • How will GenAI and agentic AI, including Alibaba’s Qwen and AI shopping assistants, transform customer journeys, personalization and operational efficiency across Chinese retail ecosystems?
  • How are experiential, service-led formats like Pangdonglai’s high-service supermarkets reshaping the role of physical stores amid rising vacancy rates and new space in cities such as Guangzhou, Chengdu and Hangzhou?
  • How will intensified competition in instant retail, last-mile delivery and logistics automation—including the deployment of humanoid robots like UBTech’s Walker S2—impact margins, speed and consumer convenience?
  • How are AI-driven advertising, retail media and RaaS creating high-margin revenue pools as China’s ad market grows and instant retail expands from about ¥1 trillion to more than ¥2 trillion by 2030?

Data in this research report include: China total retail sales forecasts through 2029; outcomes from the 2025 national trade-in program; usage and adoption metrics for Alibaba’s Qwen and AI shopping assistants; retail property vacancy and new supply indicators; robotics deployment and order data; and projections for China’s ad market and instant retail market size through 2030.

Companies mentioned in this report include: Alibaba Group, JD.com, Meituan, Pangdonglai, UBTech and Walmart China/Sam’s Club.

Other relevant research:

  • Visit the Coresight Research Retail Technology Hub to explore reports, data and competitive landscapes on retail technology, AI and automation.
  • The China Retail Sales Databank brings together retail sales data to help you understand the trajectory of retail in China and is updated monthly.
  • The Market Sizes Databank offers an overview of key retail markets and sectors, including forward projections for China’s retail and e-commerce segments.
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Reasons to Read

The Coresight Research monthly China Consumer Survey Insights series takes a regular temperature check on Chinese consumers’ behaviors and sentiment, based on exclusive proprietary survey data.

In this research report, we present findings from our latest weekly surveys, with the most recent undertaken on December 29, 2025. We spotlight developments in consumer sentiment on the economic and financial outlooks.

Read this report to discover answers to these key questions:

  • How has consumer sentiment in China evolved in December, and what do recent peaks in optimism indicate about consumer expectations for the upcoming retail season?
  • What role did Singles’ Day play in shaping short-term optimism, and how do the post-event dips reflect evolving consumer confidence?
  • What are the key consumer behaviors and purchase trends observed in the weeks leading up to and after Singles’ Day?

Data in this research report includes:

  • Consumers’ expectations for economic conditions and personal finances over the next 12 months, showing how optimism has evolved.
  • Changes in personal financial situations compared to 12 months ago, shedding light on shifts in consumer wealth perceptions.
  • Consumer activities over the past two weeks, highlighting engagement levels and emerging trends.
  • Purchasing behaviors, with insights into what consumers are buying in-store and online during the survey period.

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Reasons to Read

Unlock the future of retail with the latest insights into how advanced network connectivity is revolutionizing store operations. AI-driven, connected, and autonomous retail environments are no longer just a vision—they’re a reality, and this report will show you how to stay ahead. Discover how weak or outdated networks are holding back your sales, profitability, and customer experience, and why upgrading to cutting-edge technologies like 5G SA can unlock the next level of performance.

Below are the key reasons to read this research:

  1. Uncover the Real Impact: See how network connectivity challenges (like high latency and insufficient bandwidth) are directly impacting your core business functions—inventory management, retail media, and even customer management—costing retailers an average 5.8% of sales.
  2. Learn How 5G Can Power Your Future: Get the scoop on why 5G SA (Standalone), though still underutilized, is the key to scalable AI applications, unified shopper experiences, and boosted staff productivity—a game-changer for modern retail.
  3. Maximize ROI on Your Tech Investments: Retailers are pouring money into AI, IoT, and store intelligence technologies. This report shows you why investing in strong network connectivity is the foundation for ensuring these technologies perform at peak efficiency and drive fast return on investment.
  4. Overcome the Connectivity Crisis: With 87% of retailers facing interruptions in real-time data collection due to network outages, this report highlights how a modernized network will strengthen your ability to gather critical insights, streamline inventory, dynamic pricing, and enhance the customer journey.

This report is made available to non-subscribers of Coresight Research through its sponsorship by T-Mobile.

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Reasons to Read

Discover the five forces set to redefine Indian retail in 2026—from quick commerce to expanding non-metro consumption and AI-led transformation. This report is part of our global 2026 Retail Predictions series.

Read this report to discover answers to these and other questions:

  • How are India’s quick commerce leaders shifting focus from growth at all costs to profitability through higher AOV and tighter cost control?
  • Why are Tier-3 and 4 cities becoming the next frontier for retail expansion, and how are major players localizing formats and assortments?
  • In what ways will improved macroeconomic conditions, such as lower inflation and better credit access, lift consumer spending across India?
  • How is the rise of agentic AI changing the game in retail, enabling end-to-end automation in discovery, checkout and service?
  • Why is the supply chain emerging as the key competitive advantage in Indian retail—and how are leaders investing to stay ahead?

Companies mentioned in this report include: Blinkit, Swiggy Instamart, Trent (Zudio), Reliance Retail (Yousta, Reliance Digital), ABFRL (Style Up), DMart (Avenue Supermarts), Flipkart, Amazon India

Data in this report include:
India’s projected total retail sales and YoY growth; quick commerce profitability and dark store expansion; retail footprint growth in Tier-3/4 cities; macroeconomic indicators including GDP, inflation, and liquidity; retailer adoption and deployment of agentic AI solutions.

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Reasons to Read

Our report from the pre-conference sessions at CES 2026 includes:

  • Tech markets to decelerate slightly but remain solid
  • AI everywhere remains a persistent and growing theme
  • Longevity means quality of life as much as long life
  • Industrial technology is a growing focus at CES
  • CES unveiled showcases compelling emerging consumer electronics products

Data in this research report are: The market forecast for the US consumer electronics industry in 2026.

Companies mentioned in this report include: NVIDIA, Qualcomm.

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Reasons to Read

Discover how US consumers are reacting to shifting economic conditions, inflation pressures and tariffs in the holiday season.

Read this report to discover answers to these and other questions:

  • How is consumer sentiment diverging across income groups—and what does this mean for premium versus value retail performance.

Data in this research report include: Consumer sentiment by income and time; and retailer and category-level shopping data.

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Reasons to Read

Discover how Europe’s retail landscape is evolving in 2026 amidst geopolitical uncertainty, economic pressures, and technological advances. This report is part of our global 2026 Retail Predictions series.

Read this report to discover answers to these and other questions:

  • What are the geopolitical risks and economic challenges shaping European retail in 2026?
  • How will agentic AI transform the consumer shopping experience and retailer operations across Europe?
  • What does the future of physical retail stores look like in an era of expanding digital commerce?
  • What strategies are European retailers adopting to mitigate cybersecurity risks amplified by automation?
  • How will retail-as-a-service (RaaS) and retail media generate new revenue opportunities for Europe’s top retailers?

Companies mentioned in this report include: Adidas, Frasers Group, Harrods, Honeywell, Ingenuity, Inditex, Kering, LVMH, Marks & Spencer, Next, Ocado, Sainsbury’s, Tesco, The Co-op, TikTok, Zalando, H&M.

Data in this report include: Retail sales projections; GDP growth estimates; Retailer adoption of AI technologies; Cybersecurity risk assessments; Retail media revenue growth estimates.

Other relevant research:

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Uncover how agentic commerce is reshaping the retail media landscape and why retailers must adapt to AI-driven shopping experiences.

This report will provide answers to the following questions:

  • How is the rise of agentic commerce transforming the traditional retail media model, and what are the key disruptions?
  • What strategies can retailers adopt to balance human-targeted advertising with AI-driven agentic commerce?
  • How are major players like Amazon and Walmart positioning themselves with their own AI shopping agents, and what impact does this have on data ownership?
  • What are the new ad formats emerging in AI shopping environments, and how can retailers leverage them for more dynamic consumer engagement?
  • How will partnerships with third-party AI engines affect the future of retail media networks, and what new business models will emerge?

Data in this research report include: Growth trends in AI shopping, consumer adoption of AI shopping agents, Amazon’s AI initiatives.

Companies mentioned in this report include: Amazon, Walmart, Etsy, Shopify, OpenAI, Microsoft, Salesforce.

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Reasons to Read

Discover five predictions poised to reshape the US retail landscape in 2026—driving growth, boosting efficiency and unlocking new revenue models in a rapidly evolving market. This report is part of our global 2026 Retail Predictions series.

Read this report to discover answers to these and other questions:

  • How will stabilizing economic conditions impact consumer demand, and which retail segments stand to benefit most?
  • How is Agentic Commerce boosting conversion, speed and spending across retailers?
  • How are tech-powered, experiential stores driving significant revenue and operational gains beyond traditional formats?
  • Why is supply chain agility becoming a critical competitive edge—and how are top retailers building smarter, faster networks?
  • How are retail media, data monetization and RaaS unlocking high-margin growth, reshaping retailer economics from the inside out?

Companies mentioned in this report include: Amazon, Coupang, DoorDash, Estée Lauder, GrubMarket, Instacart, Kroger, Target, Walmart and Wesco.

Data in this report include: US retail sales forecasts; AI adoption in retail and store intelligence; consumer use of generative AI; supply chain impact data; retail media market size and profit margin analysis.

Other relevant research:

  • Visit the Coresight Research Retail Technology Hub to explore reports, data and competitive landscapes on technology.
  • The US Retail Sales Databank features retail sales values and year-over-year growth, in total and by sector, by year and by month. This Databank is updated monthly.
  • The Market Sizes Databank offers an overview of key retail market or sector sizes, including Coresight Research projections for future years.
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Reasons to Read

Understand the key themes shaping retail and technology at CES 2026.

Read this week’s Analyst Corner to discover answers to these and other questions:

  • What are the major retail technology topics featured in CES 2026’s dedicated retail track?
  • How are global startups—including from Israel—bringing innovation to CES, and where can they be found?
  • Which keynote speakers and companies are leading the conversation on industrial, tech and media innovation in 2026?
  • What exclusive product showcases will the Coresight Research team cover, and what kinds of technologies will be on display?

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Reasons to Read

Our 2026 Sector Outlooks Ebook provides forward-looking data, insights and conclusions for US retail sectors.

This ebook includes data graphics covering 10 retail sectors or categories: US retail (overall); apparel and footwear; beauty; consumer packaged goods (CPG); department stores; drugstores; grocery; home and home improvement; luxury; and mass merchandisers, warehouse clubs and discount stores. For each sector, we include sector scale and growth estimates, headwinds and tailwinds, major sector themes, notable data and our forward-looking perspective.

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Uncover how generative AI is rapidly transforming the shopping journey and reshaping the future of agentic commerce.

Read this report to discover answers to these and other questions:

  • How quickly are shoppers adopting GenAI for their shopping journeys—and how satisfied are they with the experience?
  • What percentage of US consumers are currently using, planning to use, or interested in using GenAI for shopping?
  • How has retail’s GenAI adoption rate compared to other industries in 2025?
  • What does the explosive growth in weekly ChatGPT usage signal about readiness for AI-driven commerce?

Data in this research report include/are: weekly active ChatGPT users; GenAI retail adoption rates; consumer usage trends and satisfaction levels with GenAI in shopping.

Companies mentioned in this report include/are: OpenAI

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Reasons to Read

Keep updated on the latest trends in the UK retail sector, where the number of new store openings is still outpacing closures in 2025, along with new data for 2026.

Read this report to discover answers to these and other questions:

  • Which retailers have been responsible for the rise in openings and closures this week, and what factors are influencing these decisions?
  • How do the store openings and closures in 2025 compare to 2024, and what are the key trends driving the year‑on‑year changes?
  • Which retailers lead UK store opening and closure in 2026?

Companies mentioned in this report include: Byredo, Dreams, Neom.

Data in this report include: weekly totals of UK store closures and openings for 2025 and 2024; retailer-level breakdowns of announced versus confirmed closures/openings.

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