Growing demand for AI-based chatbots and growing popularity of AI-based image recognition technology

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Global Artificial Intelligence in Retail Market

Global Artificial Intelligence in Retail Market

Global Artificial Intelligence in Retail Market

Dublin, 31 May 2022 (GLOBE NEWSWIRE) — “Artificial Intelligence in Retail Market Research Report: By Product, Technology – Global Industry Analysis and Growth Forecast to 2030” report added to’s supply.

E-commerce sales are expected to reach $7.3 trillion by 2025, which will drive the value of artificial intelligence in the retail market from an estimated $1,714.3 million in 2021 to $36,462.5 million in 2030

That’s because retailers are using artificial intelligence to personalize service and product recommendations and predict consumer behavior. E-commerce platforms also leverage AI for accurate demand forecasting, supply chain planning, and real-time customer intelligence gathering.

Of all the AI ​​solutions designed for retailers, recommendation engines are the most popular. Online retailers are using them to study customer activity on the Internet and recommend relevant products and services accordingly. Because selling all products to everyone (such as on TV and newspapers) doesn’t always bring good returns, retailers use recommendation engines only to promote products and services that customers are interested in.

The COVID-19 pandemic has accelerated such activities, thereby positively impacting artificial intelligence in the retail market. In 2020, lockdowns forced people to stay at home, which led to a dramatic increase in the number of online shoppers. According to the United Nations, sales of the top 13 online shopping platforms increased by more than 20% in 2020.

The fallout from the pandemic will drive the AI ​​in retail market to emerge at the highest rate in the Asia Pacific region (APAC) over the next few years. Most of the 13 companies with big sales increases in 2020 are based in the United States and China, according to the United Nations.

In addition, online sales in China, Australia and Singapore in 2020 increased by 24.9%, 9.4% and 11.7% respectively compared to 2019. This is also due to growth in smartphone sales and increased internet penetration.

Key Findings of Artificial Intelligence in Retail Market Report

  • In the coming years, the demand for related services will grow even faster for retailers that adopt AI solutions. Services provided by AI vendors include data management, software monitoring, training, and system maintenance and support.

  • Machine learning is the most widely used technology of artificial intelligence among end-users in the retail market, as it allows them to enhance their customers’ shopping experience with accurate purchasing recommendations.

  • Natural Language Processing (NLP) is another popular AI technology among retailers because it can understand and process human language, allowing users to provide a personalized shopping experience.

  • Additionally, AI is now being used for marketing across multiple channels, primarily for analyzing in-store consumer behavior as well as for email marketing and campaign management.

  • Seeing the huge benefits of artificial intelligence, major retailers are increasing their investments in related technologies. For example, IKEA acquired Geomagical Labs, which provides augmented reality and artificial intelligence solutions.

  • Likewise, in April 2019, Reliance Jio Digital Services Ltd. finalized plans to acquire an 87.0% stake in Haptik Inc., an AI-driven conversation platform.

Key topics covered:

Chapter 1 Research Background

Chapter 2 Research Methodology

Chapter 3 Executive Summary

Chapter 4 Introduction
4.1 Definition of market segments
4.1.1 By Offer Solutions Chatbot CRM Price Optimization Recommendation Engine Scm Visual Search Others Services Major Hosting
4.1.2 By Technology Machine Learning NLP Computer Vision Others
4.2 Value Chain Analysis
4.3 Market Dynamics
4.3.1 Trends Multi-channel marketing with artificial intelligence
4.3.2 Drivers Growing Electronic Retail Industry Retail companies increase investment in artificial intelligence
4.3.3 Constraints Lack of qualified AI professionals AI-based solutions are costly
4.3.4 Opportunities Rising demand for AI-based chatbots Increasing adoption of AI-based image recognition technology
4.4 Impact of Covid-19 on Artificial Intelligence in Retail Market
4.5 Porter’s Five Forces Analysis

Chapter 5 Global Market Size and Forecast
5.1 By Offer
5.1.1 Solutions Market, by Type
5.1.2 Services Market, by Type
5.2 By Technology
5.3 By Region

Chapter 6 North America Market Size and Forecast
6.1 By Offer
6.1.1 Solutions Market, by Type
6.1.2 Services Market, by Type
6.2 By Technology
6.3 By Country

Chapter 7 Europe Market Size and Forecast

Chapter 8 Asia Pacific Market Size and Forecast

Chapter 9 Latin America Market Size and Forecast

Chapter 10 MEA Market Size and Forecast

Chapter 11 Competitive Landscape
11.1 Ranking of Key Players
11.2 Competitive Benchmarks of Key Players
11.3 Key Players and Their Products
11.4 Strategic Development of Key Players
11.4.1 Partnerships and collaborations
11.4.2 Mergers and acquisitions
11.4.3 Others

Chapter 12 Company Profile
12.1 Business Overview
12.2 Products and service offerings
12.3 Key Financial Highlights

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