Retail-Tech Landscape: Generative AI Infrastructure

Published – April 2024

The ability of GenAI (generative artificial intelligence) and AI/ML (machine learning) to create content and find relationships among data is enabled by multiple layers of infrastructure. Various tools and services are available for companies to maximize the potential of GenAI to gain a competitive advantage, including by providing ways to optimize and improve training data and to develop customized, context-relevant GenAI models.

In this Retail-Tech Landscape, we discuss key trends in GenAI infrastructure and present selected technology providers globally, with innovative solutions spanning model development, cloud services, AI chips and more.

Introduction

Market Scale and Opportunity

Retail-Tech Landscape—Generative AI Infrastructure: Coresight Research Analysis

• GenAI Infrastructure Trends for Retail
• Retail-Tech Landscape: Generative AI Infrastructure Solution Providers, by Category

Notes and Methodology

10-page PDF report

Adept, Adobe, Aleph Alpha, Alibaba, AMD, Anthropic, AWS, Cohere, Databricks, Digi International, Google Cloud, IBM, Intel, Lightning AI, McFadyen Digital, Microsoft, Mistral AI, Nvidia, OpenAI, Qualcomm, Salesforce, SAP, Scale AI, Shopify, Snowflake, Stability AI

1. Estimated Global GenAI Software Market Size (Left Axis; USD Bil.) and YoY Growth (Right Axis; %)
2. The GenAI Value Chain
3. The Coresight Research CORE Framework for Generative AI in Retail
4. Infographic