2025年零售技术市场报告_44页_4mb

Drake Star Retail Technology Market Report Summary (Full Year 2025)

Core Content

Drake Star is a leading global boutique investment bank specializing in mid-market technology, with a strong focus on retail technology M&A and growth financing advisory. The firm has completed over 500 transactions in 2025 and is recognized for its expertise in the retail tech space, with a 100% tech-focused team and a presence in 8 offices across 5 countries.

Main Points

• Market Growth: The global retail technology market is projected to grow at a ~6% CAGR to reach ~$500B by 2035, driven by automation, AI, and the need for integrated platforms that manage data and workflows effectively.
• Market Size: In 2025, global retail technology spend reached $282B, with $31.3T in total retail sales. Ecommerce accounts for ~6.4T, or ~20.5%, of global retail spend.
• AI Integration: AI is becoming a central component of retail operations, enabling personalization, predictive analytics, and real-time decision-making. It is transforming the retail landscape from rule-based automation to agentic AI.
• Omnichannel Adoption: Retailers are increasingly adopting omnichannel models that blend physical and digital touchpoints for seamless shopping experiences.
• Data Importance: The control of clean, first-party data is becoming a key differentiator in retail technology, especially as third-party cookies become less reliable.
• Retail Media Networks (RMNs): RMNs are growing rapidly, with the global market expected to reach $57B by 2030, driven by the rise of ecommerce and online shopping. Top RMNs like Amazon and Walmart are offering tools for incrementality testing and standardized reporting.
• Cross-Border Transactions: Over 70% of retail technology transactions are cross-border, indicating a strong global demand for integrated solutions.
• Strategic Consolidation: The market is moving toward a structural consolidation phase, with M&A accelerating the integration of fragmented point solutions into broader systems of record, action, engagement, and intelligence.

Key Information

Market Trends

• Consumer Behavior: Despite economic uncertainties, retail spending has remained resilient. Consumers are showing increased price sensitivity and a preference for value-driven purchases, while still maintaining positive sentiment toward AI.
• AI in Retail: AI adoption is accelerating across all retail sectors, with ~69% of consumers approving AI suggestions and ~47% of US retailers reporting AI-driven loyalty gains.
• Personalization: Personalization is a key growth lever, with ~80% of consumers preferring brands that offer it. AI enables ~40% more revenue through personalized experiences.
• Technology Stack: Retail technology is being re-architected around AI-powered platforms, which are becoming the new operating system for commerce. These platforms integrate data, AI, and commerce to deliver measurable and scalable advertising.

Key Players

• Drake Star: A top global boutique investment bank with a 100% tech-focused team, over 60 awards, and a strong presence in North America, Europe, and Asia.
• Retailers: Major players such as H&M, Amazon, Walmart, and Zara are leveraging AI for inventory management, pricing, and customer engagement.
• Technology Solutions: The adoption of smart shelf technology, AI-driven planning, in-store analytics, and self-checkout systems is increasing, improving operational efficiency and customer experience.

Emerging Technologies

• Universal Commerce Protocol: An open standard enabling AI agents to interact seamlessly with retailers across discovery, checkout, and fulfillment.
• Commerce Media Networks (CMNs): These networks have become extensive advertising ecosystems, using first-party data for targeted ads across digital and physical channels.
• Smart Tools: Retail planning is being transformed by AI-driven tools that automate forecasting, pricing, and shrinkage reduction, improving efficiency and agility.

Challenges and Opportunities

• Fragmentation: Retail technology remains highly fragmented, leading to vendor sprawl and integration debt. This is driving a shift toward fewer, broader platforms.
• Supply Chain: Retailers are increasingly using predictive analytics, AI, and automation to improve supply chain resilience, with 77% of leaders investing in quality data analysis.
• Collaboration: Platforms that enable collaborative product lifecycle management (PLM) and supplier compliance are helping retailers and suppliers reduce costs and disruptions.

Summary

Drake Star is a leader in retail technology investment banking, offering a tech-focused team with 16 partner-level bankers and 8 offices in 5 countries. The firm has a strong transaction track record, with over 500 transactions completed in 2025, and is positioned at the forefront of AI-driven retail transformation.

The global retail technology market is growing rapidly, driven by AI adoption, omnichannel strategies, and the need for integrated systems. Retailers are increasingly focused on seamless customer experiences, data-driven decision-making, and personalization to enhance revenue and margins.

As third-party cookies become less reliable, first-party data is becoming a key asset for retailers. The rise of retail media networks and commerce media is reshaping how brands connect with consumers, with a growing emphasis on transparency, ROI, and AI integration.

With the emergence of agentic AI, the retail technology stack is being redefined to support intelligent commerce, real-time analytics, and seamless customer journeys. This shift is creating powerful centers of gravity around core platforms, which will shape the next generation of value creation in the $31T global retail market.

The market is moving toward consolidation, with M&A and private placements regaining momentum. This is driven by the increasing strategic value of integrated platforms that offer unified data, AI capabilities, and operational efficiency.

Overall, retail technology is becoming a non-negotiable component of the retail landscape, enabling resilient profitability, personalized experiences, and data-led growth.