Artificial Intelligence in Retail Market Overview

Artificial intelligence (AI) is playing an increasingly important role in the retail industry. AI retail market refers to the solutions and applications leveraging AI, machine learning and other cognitive technologies to provide enhanced capabilities and deliver transformative customer experiences in shopping. Artificial Intelligence in the Retail market growth is anticipated to expand  from USD 6.44 Billion in 2023 to USD 41.7 billion by 2032, accounting for a compound annual growth rate (CAGR) of 26.3% during the forecast period (2023 - 2032)

The global AI in retail market has witnessed robust growth recently. AI is helping retailers optimize business processes, garner customer insights, and provide personalized recommendations and promotions. Chatbots, recommendation engines, inventory management, price optimization and fraud detection are some common retail AI applications.

Key AI in Retail Market Segments

The AI retail market can be segmented based on solution, application, technology, deployment model and region.

Based on solution, key segments are Chatbots, Customer Relationship Management, Price Optimization, Recommendation Engine, Supply Chain Management, and Visual Search. Chatbots and recommendation engines account for significant market share currently.

Key application segments are Inventory Management, Order & Delivery Management, Payment & Finance Management, Product Recommendation, Customer Relationship Management, and Advertising & Campaign Management.

On the basis of technologies used, important segments are Machine Learning, Natural Language Processing, Computer Vision, and Speech Recognition. Machine learning powers most AI retail use cases.

Based on deployment mode, on-premise and cloud-based AI retail solutions exist in the market. The cloud segment is seeing higher adoption in recent years.

Key Companies Offering Retail AI Solutions

Some of the major companies operating in AI retail market include:

  • IBM
  • Microsoft
  • Amazon Web Services
  • Oracle
  • SAP
  • Intel
  • Nvidia
  • Google
  • Salesforce
  • Visenze

These companies provide a range of AI software and platforms to enable various retail-specific use cases powered by machine learning and deep learning algorithms.

Market Drivers for AI Adoption in Retail

The key factors driving increased adoption of AI in the retail sector are:

  • Need to improve customer experience and loyalty in an omnichannel environment.
  • Requirement to optimize supply chain efficiencies as retail operations become more complex.
  • Leveraging data insights to drive hyper-personalization of promotions and recommendations.
  • Demand for AI capabilities like visual search, speech recognition, etc in retail mobile apps.
  • Investing in AI and ML to reduce costs and drive automation in retail workflows.

Regional Insights on AI in Retail Market

North America leads the AI retail market globally followed by Europe and Asia Pacific regions. Rapid technology adoption and strong retail infrastructure are driving North American retail AI spends. China, Japan, India, South Korea, Australia, and Singapore are major Asia Pacific countries with significant AI retail investments.

Browse In-depth Market Research Report (100 Pages, Charts, Tables, Figures) on Artificial Intelligence in Retail Market

Industry Latest News

Some recent developments in AI retail market include:

  • Retailers enhancing smart assistants and chatbots to handle increased customer queries.
  • Launch of computer vision solutions to enable cashier-less stores, smart checkouts.
  • Partnerships between retailers and technology firms to test AI/ML innovations.
  • Acquisitions of AI startups by leading retailers to accelerate technology transformation.
  • Investments in AI and ML experts by retailers to expand in-house capabilities.

In summary, AI is transforming the retail industry in profound ways. Retailers are prioritizing AI adoption to increase competitiveness, drive cost optimization and deliver superior customer engagement through hyper-personalization and product recommendations. The AI retail market outlook remains very promising in coming years.

 
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