Artificial Intelligence (AI) in Retail and Apparel - Thematic Intelligence

The global AI market will be worth $909 billion by 2030. This report explores the applications of AI for the Retail and Apparel industries.

Artificial intelligence (AI) refers to software-based systems that use data inputs to make decisions on their own. Recent progress in machine-learning (ML) algorithms (e.g., OpenAI's GPT-4) and increasing computing power have enabled AI to solve problems in real-time. The publisher estimates the total AI market will be worth $909 billion in 2030, having grown at a compound annual growth rate (CAGR) of 35% between 2022 and 2030.

Retailers have been using AI for several decades, but its widespread adoption and significant impact on the industry have been more noticeable in recent years. The use of AI in retail started gaining momentum in the early 2000s, with the development of more advanced machine learning algorithms and the availability of large amounts of data.

Who should buy

Our thematic investment research product, supported by our thematic engine, is aimed at senior (C-Suite) executives in the corporate world as well as institutional investors.

Scope

• This report is part of our ecosystem of thematic investment research reports, supported by our “thematic engine”.

Reasons to Buy

• This report will help you to understand AI and its potential impact on the retail and apparel industries.
• Benchmark your company against your competitors, by comparing how prepared retailers are for AI disruption.
• Identify and differentiate between the leading AI vendors and formulate an adoption plan for your company.
• Position yourself for future success by investing in the right AI technologies. Cut through the noise with the publisher's priority ratings for each AI technology for each segment of the industry.
• Develop relevant and credible sales and marketing messages for automotive companies by understanding key industry challenges and where AI use cases are most useful.
• Identify attractive investment targets by understanding which companies are most advanced in the themes that will determine future success in the automotive industry.