市场调查报告书
商品编码
1576472
零售人工智慧市场规模、占有率、预测、趋势:按产品(解决方案、服务)、技术、类型、部署方法、最终用户、地区划分 - 2031 年之前的全球趋势Artificial Intelligence in Retail Market Size, Share, Forecast, & Trends by Offering (Solutions, Services), Technology, Type, Deployment Mode, End User, Geography- Global Forecasts to 2031 |
本研究报告涵盖 "零售人工智慧(AI) 市场:产品(解决方案(供应链管理、预测行销等)、服务)、技术、类型(线上零售、线下零售)、部署方法、最终用户《到2031年的全球预测》详细分析了五个主要地区的零售人工智慧市场,包括当前的市场趋势、市场规模、市场占有率和近期趋势,重点是2031年的预测。
到 2031 年,零售人工智慧市场预计将达到 927 亿美元,2024 年至 2031 年的复合年增长率为 38.6%。
智慧商店数量的不断增加、对改善最终用户体验和生产力的需求不断增长,以及人工智慧在零售库存管理中的使用不断增加,都是推动零售人工智慧市场成长的因素。然而,无组织零售业缺乏技术采用和缺乏熟练劳动力正在限制市场成长。此外,人工智慧语音设备的日益普及以及对人工智慧个人购物服务的需求不断增长预计将为市场参与者提供成长机会。然而,课题依然存在,包括法律问题、资料隐私问题以及人工智慧系统与现有基础设施的整合。
(註:将发布前 5 名公司的 SWOT 分析)
Artificial Intelligence (AI) in Retail Market by Offering (Solutions (Supply Chain Management, Predictive Merchandising, Others), Services), Technology, Type (Online Retail, Offline Retail), Deployment Mode, End User, Geography-Global Forecast to 2031
The research report titled, 'Artificial Intelligence (AI) in Retail Market by Offering (Solutions (Supply Chain Management, Predictive Merchandising, Others), Services), Technology, Type (Online Retail, Offline Retail), Deployment Mode, End User, Geography-Global Forecast to 2031, provides an in-depth analysis of the artificial intelligence in retail market across five major geographies and emphasizes on the current market trends, market sizes, market shares, recent developments, and forecasts till 2031.
The artificial intelligence in retail market is projected to reach $92.7 billion by 2031, at a CAGR of 38.6% from 2024 to 2031.
The increasing number of smart stores, the growing need to enhance end-user experience and improve productivity, and the rising use of AI in retail for inventory management are factors driving the growth of artificial intelligence in the retail market. However, the market growth is restrained by a lack of technology adoption in the unorganized retail sector and a lack of skilled workforce. In addition, the increasing adoption of AI-powered voice-enabled devices and the rising demand for AI-powered personal shopping services are expected to create growth opportunities for market players. However, legal concerns, data privacy issues, and integration of AI systems with existing infrastructure.
The global artificial intelligence in retail market is segmented by offering (solutions (supply chain management, predictive merchandising, customer experience management, sentiment analysis, payment processing, price optimization, and other solutions and services (managed services, professional services)); technology (machine learning, natural language processing, computer vision, and other technologies); type (offline retail (supermarkets, hypermarkets, specialty stores, department stores, other offline retailers), online retail); deployment mode (cloud-based deployments, on-premise deployments); and end user (food & groceries, health & wellness, automotive, fashion & clothing, electronics & white goods, general utility products, cosmetics & personal care and other end users). This study also evaluates industry competitors and analyses the regional and country-level markets.
Based on offering, the artificial intelligence in retail market is segmented into solutions and services. In 2024, the solutions segment is expected to account for the larger share of over 72.0% of the global artificial intelligence in retail market. The increased importance of AI in the retail sector, increased adoption of AI in retail solutions to improve retail operations for personalized shopping experiences, and increased focus of key market players on product launches and enhancements are factors contributing to the segment's dominant position in the artificial intelligence in the retail market. However, the services segment is expected to grow at the highest CAGR during the forecast period.
Based on technology, the artificial intelligence in retail market is segmented into machine learning, natural language processing, computer vision, and other technologies. In 2024, the machine learning segment is expected to account for the largest share of over 36.0% of the artificial intelligence in retail market. The increasing adoption of machine learning by retailers to enhance operational efficiency, improve customer experiences, and drive strategic decision-making are factors contributing to the segment's dominant position in the artificial intelligence in the retail market. Moreover, the machine learning segment is anticipated to register the highest CAGR during the forecast period.
Based on type, the artificial intelligence in retail market is segmented into online retail and offline retail. In 2024, the online retail segment is expected to account for a larger share of the artificial intelligence in retail market. This segment's large market share is primarily attributed to the growing use of AI-powered solutions by online retailers to improve efficiency, enhance customer satisfaction, and maintain a competitive edge in a rapidly evolving marketplace. Moreover, the online retail segment is expected to record a higher CAGR during the forecast period.
Based on deployment mode, the artificial intelligence in retail market is segmented into on-premise deployments and cloud-based deployments. In 2024, the on-premise deployments segment is expected to account for a larger share of the artificial intelligence in retail market. The higher preference for on-premise deployments among large enterprises due to the availability of trained IT professionals & infrastructure and to ensure data security and compliance are factors contributing to the segment's dominant position in the artificial intelligence in retail market. Moreover, the cloud-based Deployments segment is expected to record a higher CAGR during the forecast period.
Based on end user, the artificial intelligence in retail market is segmented into food & groceries, health & wellness, automotive, fashion & clothing, electronics & white goods, general utility products, cosmetics & personal care, and other end users. In 2024, the food & groceries segment is expected to account for the largest share of over 22.0% of the artificial intelligence in retail market. The rising adoption of AI by food & grocery retailers to enhance inventory management, to provide personalized shopping experiences to customers and ensure quality control throughout the supply chain are factors contributing to the segment's dominant position in the artificial intelligence in retail market. However, the fashion & clothing segment is expected to grow at the highest CAGR during the forecast period.
Based on geography, the artificial intelligence in retail market is majorly segmented into five regions: North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2024, North America is expected to account for the largest share of over 32.0% of the artificial intelligence in retail market, followed by Asia-Pacific and Europe. The high adoption of emerging technologies, the presence of the key market players, increasing investments in AI technology, and the rising focus of retail enterprises for providing better shopping experiences to customers are factors contributing to the region's dominant position in the artificial intelligence in the retail market. However, Asia-Pacific is expected to record the highest CAGR of 40.6% during the forecast period.
The artificial intelligence in retail market is characterized by a moderately competitive scenario due to the presence of many large- and small-sized global, regional, and local players. The key players operating in the artificial intelligence in retail market are Amazon.com, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), BloomReach, Inc. (U.S.), Salesforce.com, Inc. (U.S.), ViSenze (Singapore), SymphonyAI LLC (U.S.), Daisy Intelligence Corporation (Canada), Conversica (U.S.), and RetailNext Inc. (U.S.).
Artificial Intelligence in Retail Market Assessment-by Offering
Artificial Intelligence in Retail Market Assessment-by Technology
Artificial Intelligence in Retail Market Assessment-by Type
Artificial Intelligence in Retail Market Assessment-by Deployment Mode
Artificial Intelligence in Retail Market Assessment-by End User
Artificial Intelligence in Retail Market Assessment-by Geography
(Note: SWOT analysis of the top 5 companies will be provided)