市场调查报告书
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1149933
零售业 AI 的全球市场规模、份额和行业趋势分析报告:按技术、销售渠道(全渠道、实体店、在线专业零售商)、组件、应用程序、地区展望和预测,2022 年-2028年Global AI In Retail Market Size, Share & Industry Trends Analysis Report By Technology, By Sales Channel (Omnichannel, Brick & Mortar, and Pure-play Online Retailers), By Component, By Application, By Regional Outlook and Forecast, 2022 - 2028 |
在预测期内,全球零售业人工智能市场规模预计将以 24.4% 的复合年增长率增长,到 2028 年将达到 241 亿美元。
例如,在网站上,基于 AI 的虚拟助手和聊天机器人会根据客户网站使用情况和过去的购买历史记录等相关信息提供个性化的产品推荐和动态定价。在实体店中,也有使用零售人工智能的例子,这些人工智能利用数据源,例如通过移动设备和传感器与店内顾客互动。
还可以使用基于销售数据训练的算法来优化商店布局。例如,如果两种产品并排陈列,人们往往会同时购买。人工智能 (AI) 正在改变零售业。零售商可以利用人工智能与消费者互动并更有效地运营,无论是利用计算机视觉来实时协调促销活动,还是利用机器学习来管理库存。
COVID-19 影响分析
由于此次大流行带来的居家办公政策,COVID-19 的爆发有望加速包括人工智能在内的下一代技术领域的市场增长。科技公司也在扩大他们提供的产品和服务的范围,以增加他们在世界范围内的可用性。因此,人工智能在零售行业的整合显着增加。因此,虽然市场增长稳步受阻,但人工智能的日益普及促进了人工智能在零售业的增长。
市场增长因素
降本高效,优化体验
人工智能有能力在未来几年显着改变零售业,影响从成本结构到购物体验的方方面面。电子商务和人工智能齐头并进,随着冠状病毒大流行加速电子商务的增长速度,人工智能的采用变得更加势在必行。人工智能的好处将改变行业。所以零售商应该现在就开始计划。该计划不仅应包括技术,还应包括业务战略。
更高的供应链能力
总的来说,人工智能的主要好处之一是它可以帮助人们完成重复、耗时的任务。相当多的工人认为,由于在工作场所越来越多地引入人工智能,他们的工作效率得到了提高。同样的事情也可能发生在人工智能用于零售业时。物流行业的加速器可以使用人工智能来发现最佳送货路线。此外,机器人帮助选择和打包订单,让员工腾出时间从事其他重要活动。
市场製约因素
成本高,缺乏改进能力
机器模仿人类智能真是太好了。然而,在引入这样的人工智能时,初始成本非常高。它可能非常昂贵,需要大量时间和资源。 AI 非常昂贵,因为它需要与最新的软件和硬件配合使用以保持最新状态。人工智能是一种人类无法创造的技术,因为它是用知识和经验预先编程的。
组件视角
基于组件,零售业的人工智能市场分为解决方案和服务。 2021 年,解决方案部门占据了零售市场 AI 的最大收入份额。许多零售商面临的运营挑战正在推动新的自动化技术的发展。人工智能驱动的解决方案帮助零售商管理仓库管理、供应链运营和物流,以改善客户体验。
技术展望
零售业的 AI 市场根据技术细分为机器学习、自然语言处理、聊天机器人、图像和视频分析以及群体智能。到 2021 年,机器学习细分市场将获得零售业 AI 市场的最高收入份额。由于该技术的高精度和灵活性,这一领域的增长正在上升。机器学习快速而深入地提供数据,使其非常适合为您的客户创造个性化体验。
销售渠道展望
按销售渠道划分,零售业的 AI 市场分为全渠道、实体和纯在线零售商。 2021 年,Pureplay 细分市场在零售 AI 市场中占据了很大的收入份额。在线和虚拟购物的日益普及有望加速纯互联网商家的发展。人工智能、物联网和社交媒体的普及有望导致零售业人工智能市场的扩张。
应用展望
零售业的 AI 市场按应用细分为客户关係管理 (CRM)、供应炼和物流、库存管理、商品优化、店内导航、支付和价格分析以及虚拟助理。 2021 年,零售人工智能市场在客户关係管理 (CRM) 领域的收入份额最大。改善客户服务和保留率的强烈需求将引领 CRM 行业走向繁荣。在人工智能虚拟助手、搜索引擎、聊天机器人和其他技术的帮助下,零售供应商可以培养消费者忠诚度和强大的客户联繫。
区域展望
按地区划分,对北美、欧洲、亚太地区和 LAMEA 的零售市场 AI 进行了分析。到 2021 年,北美将占据人工智能零售市场最大的收入份额。对人工智能项目以及相关研发工作进行了大量投资,具有产业扩张的潜力。区域零售商还专注于提取有关消费者偏好的可用数据,以提高客户服务的有效性。市场领导者正在使用有机和无机方法来实现增长。
合作伙伴关係是市场进入者采取的主要策略。根据基数矩阵中的分析,Amazon Web Services, Inc.(Amazon.com, Inc.)、Intel Corporation、NVIDIA Corporation等公司是零售业人工智能市场的一些领先创新者。
The Global AI In Retail Market size is expected to reach $24.1 billion by 2028, rising at a market growth of 24.4% CAGR during the forecast period.
Automation, data, and technology, like machine learning algorithms, are used in retail AI to give customers highly customized shopping experiences. Consumer experiences within both physical and online retailers can benefit from AI. By employing AI-driven sales and demand forecast accuracy to optimize inventory, for example, merchants may maintain agility while enabling personalization.
Physical stores are still the leader in retail, but they must operate in very competitive markets. Similar to physical stores, digital stores compete in a market where they can easily access their rivals. Retailers can utilize AI to enhance the shopping experience for customers and acquire the competitive edge they need to remain relevant.
For instance, AI-powered virtual personal assistants and chatbots on a website provide customers personalized recommendations or dynamic pricing depending on their usage of the site, past purchases, and other pertinent information. Retail AI application cases exist in actual stores as well, utilizing data sources including in-store customer interactions via mobile devices and through sensors.
Using an algorithm that has been trained with sales data and other pertinent information, retail store owners can even utilize AI to optimize the layout of their stores. This aids in forecasting outcomes, such as a person's propensity to purchase two things simultaneously if they are exhibited near to one another. The retail industry is changing as a result of artificial intelligence (AI). Retailers can use AI to engage with their consumers and run more effectively, from utilizing computer vision to tailor promotions in real time to leveraging machine learning for managing inventory.
COVID-19 Impact Analysis
Due to the WFH policy brought on by this pandemic, the COVID-19 outbreak is anticipated to accelerate the market growth of next-generation tech fields, including artificial intelligence. In order to increase availability across the globe, tech companies are also increasing the range of products and services they offer. Therefore, the integration of AI significantly increased within the retail industry. Hence, the growth of the market was steadily hampered, however, the increased utilization of AI augmented the growth of AI in the retail industry.
Market Growth Factors
Higher Efficiency In Saving Cost And Optimizing The Experience
AI comprises the ability to drastically change retailing in coming years, impacting everything from cost structures to the shopping experience. E-commerce and AI go hand in hand, and the coronavirus pandemic's acceleration of e-commerce growth rates makes AI adoption even more imperative. AI advantages will transform the industry. Retailers must therefore start making plans right away. And not just technology should be included in those plans, but also business strategy.
Higher Supply Chain Capabilities
As a whole, one of the main advantages of artificial intelligence is that it can assist people with repetitive, time-consuming jobs. A significant number of workers believe that the increased adoption of AI in the workplace has improved productivity. And when AI is used in retail, the same thing may occur. Drivers in the logistics industry can use AI to discover the best delivery routes. Additionally, robots can assist with choosing and packing orders, freeing up staff members to work on other crucial activities.
Market Restraining Factors
High Costs As Well As Lack Of The Ability To Improve
It is an impressive achievement when a machine can imitate human intelligence. However, the initial cost of AI is very high in such operations. It can be very expensive and takes a lot of time and resources. AI is highly expensive because it requires the newest software and hardware to function in order to stay updated and meet criteria. Artificial intelligence is a technology that cannot be created by humans since it is pre-programmed with knowledge and experience.
Component Outlook
On the basis of Component, the AI in Retail Market is bifurcated into Solutions and Services. In 2021, the solution segment acquired the largest revenue share of The AI in retail market. The management issues facing a number of retail operations are encouraging the development of new automated technology. Retailers can manage warehouse management, supply chain operations, and logistics, and enhance the customer experience with the use of AI-powered solutions.
Technology Outlook
Based on the Technology, the AI in Retail Market is segregated into Machine Learning, Natural Language Processing, Chatbots, Image and Video Analytics, and Swarm Intelligence. In 2021, the machine learning segment procured the highest revenue share of the AI in retail market. The growth of the segment is rising due to the higher precision and flexibility of this technology. Machine learning is appropriate for providing customers with individualized experiences because it serves data quickly and deeply.
Sales Channel Outlook
By Sales Channel, the AI in Retail Market is segmented into Omnichannel, Brick and Mortar, and Pure-play Online Retailers. In 2021, the pure-play segment acquired a significant revenue share of the AI in retail market. The growing popularity of online and virtual shopping is expected to accelerate the development of pure-play internet merchants. AI, IoT, and social media would proliferate, which would lead to an expansion of the AI in retail market.
Application Outlook
On the basis of Application, the AI in Retail Market is classified into Customer Relationship Management (CRM), Supply Chain and Logistics, Inventory Management, Product Optimization, In-Store Navigation, Payment and Pricing Analytics, and Virtual Assistant. In 2021, the customer relationship management (CRM) segment witnessed the largest revenue share of the Ai in retail market. A strong need to improve customer service and retention would propel the CRM industry to prominence. Retail suppliers may foster consumer loyalty and solid customer connections with the help of AI-powered virtual assistance, search engines, chatbots, and other technologies.
Regional Outlook
Region-Wise, the AI in Retail Market is analyzed across North America, Europe, Asia-Pacific, and LAMEA. In 2021, North America accounted for the largest revenue share of the Ai in retail market. As considerable investments are made in AI projects along with related research and development initiatives, there is potential for industrial expansion. Regional retail suppliers are also focusing on extracting the available data on consumer preferences to increase the effectiveness of their customer care. The market leaders use both organic and inorganic techniques in order to grow.
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the AI In Retail Market. Companies such as Amazon Web Services, Inc. (Amazon.com, Inc.), Intel Corporation and NVIDIA Corporation are some of the key innovators in AI In Retail Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Intel Corporation, Salesforce.com, Inc., NVIDIA Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, and ViSenze Pte Ltd.
Recent strategies deployed in AI In Retail Market
Partnerships, Collaborations & Agreements:
Sep-2022: Microsoft partnered with Infosys, an Indian multinational information technology company. Through this partnership, the companies aimed to enable businesses to swiftly redefine customer experiences, amplify systems with cloud and data, and renew processes.
Jun-2022: NVIDIA came into a partnership with Siemens, a German multinational conglomerate. Through this partnership, the companies aimed to integrate Siemens Xcelerator and NVIDIA Omniverse in order to offer an industrial metaverse along with physics-based digital models.
Jun-2022: Google entered into a partnership with the H&M Group, a global fashion retailer. Through this partnership, the companies aimed to design and develop an enterprise data backbone encompassing a core data platform, advanced AI and ML capabilities, and data products.
Jun-2022: Oracle joined hands with Komax, a retail group. Following this collaboration, Oracle would offer its Retail suite of services over its cloud infrastructure to Komax in order to help the business in introducing the latest clothing, accessories, and shoes from a range of popular brands to customers across Latin America.
Apr-2022: SAP entered into a partnership with Kyndryl, a leading IT infrastructure services provider. With this partnership, the companies aimed to focus on bringing novel solutions to address the most complex digital business transformation challenges of customers.
Mar-2022: NVIDIA teamed up with Kroger, an American retail company. With this collaboration, the companies aimed to improve the shopping experience for customers through AI-enabled services and applications.
Mar-2022: Microsoft came into an agreement with ASOS, a British fashion retailer. With this agreement, the companies aimed to jointly work on a new project intending to expedite their strategic growth plans of Microsoft. Moreover, this partnership would also allow companies to meet the rising demand for better product availability along with personalized and seamless digital experiences.
Feb-2022: AWS partnered with Kyndryl, an American multinational information technology infrastructure services provider. Following this partnership, the companies aimed to establish a Cloud Center of Excellence in order to develop joint solutions, including mission-critical infrastructure services, mainframe services, and network and edge computing services.
Jan-2022: Microsoft joined hands with Tata Consultancy Services, an Indian multinational information technology services and consulting company. This collaboration aimed to develop and commercialize the newly launched Microsoft Cloud. furthermore, the new solution aimed to aid customers in expediting their transformation and growth journey.
Jan-2022: Google came into a partnership with NCR Corporation, an American software, consulting, and technology company. Following this partnership, the companies aimed to develop an additional platform along with new capabilities, such as AI and ML. This partnership aimed to offer access to best-in-class tools along with seamless flexibility to retailers in order to provide enhanced in-store experiences for consumers.
Sep-2021: Microsoft expanded its partnership with Honor, a smartphone brand. Under this expanded partnership, Honor would leverage AI translation as well as AI speech built or on Microsoft Azure. In addition, these services would support Honor's YOYO Smart Assistant.
Jul-2021: Google expanded its partnership with Home Depot, an American multinational home improvement retail corporation. Through this expanded partnership, the companies aimed to advance digital transformation among retailers while also providing enhanced shopping experiences to customers.
Jun-2021: Salesforce came into a partnership with AWS, a subsidiary of Amazon. This partnership aimed to streamline it for customers to leverage the complete range of the capabilities of AWS and Salesforce in order to build and deploy robust new business applications quickly.
Apr-2021: NVIDIA collaborated with Cloudera, an American software company. Following this collaboration, the companies aimed to expedite AI and Data Analytics in the Cloud with a new software that allows businesses to accelerate data pipelines and also expand the performance boundaries of data and machine learning.
Dec-2020: Salesforce teamed up with Yes Bank, an Indian bank. Under this collaboration, Yes Bank would offer personalized and smart customer experiences by leveraging the Salesforce platform to engage customers with a unified experience.
Mar-2020: ViSenze collaborated with Pixibo, a fashion tech company. Under this acquisition, ViSenze would integrate its AI-powered visual commerce capabilities into Pixibo's fit and size recommendation platform in order to offer suitable goods on the basis of the preferences of the customer.
Product Launches and Product Expansions:
Aug-2022: ViSenze launched ViSenze's Session-Based Recommendations, a new personalized e-commerce product recommendations solution. The new solution aimed to offer a more customized experience to customers without the requirement for gathering personal data.
Jul-2022: Intel released a set of reference kits. The new solution aimed to allow data developers and data scientists to learn the faster and more convenient deployment of AI within manufacturing, retail, healthcare, and other environments.
Jun-2022: Salesforce rolled out the Sales Cloud Unlimited, a unified platform. With this launch, the company aimed to propel its growth and also turn sales reps into reliable advisors.
Jun-2021: NVIDIA rolled out the NVIDIA AI LaunchPad, a hybrid-cloud providers-delivered comprehensive program. The new solution aimed to offer immediate access to enterprises to NVIDIA-powered software and infrastructure with the aim to facilitate the entire AI lifecycle.
Apr-2021: IBM introduced new capabilities for IBM Watson. With this product expansion, the companies aimed to integrate Time Series capabilities within IBM Watson Studio in beta to address challenges in automating, forecasting, and analyzing time series data.
Apr-2021: Intel launched the new third Gen Intel Xeon Scalable processor, its most advanced artificial intelligence-based data center platform. The new solution aimed to offer a substantial spike in performance in contrast to the older generation.
Jan-2021: Google unveiled a new range of retail AI products. Through this launch, the company aimed to increase its focus on reaching new industry verticals. The new product range is developed for large as well as small businesses in order to allow retailers to offer highly personalized product recommendations to their customers.
Mergers & Acquisitions:
Jul-2022: SAP took over Askdata, a search-driven analytics startup. Following this acquisition, the company aimed to expand its ability to aid businesses in making well-informed decisions through AI-driven natural language searches.
Mar-2022: Microsoft took over Nuance Communications, an American multinational computer software technology corporation. Following this acquisition, the company aimed to integrate the best-in-class conversational AI and ambient intelligence of Nuance into its trusted and secure industry cloud offerings.
Feb-2022: IBM completed its acquisition of Neudesic, a leader in cloud services. Following this acquisition, the company aimed to expand its hybrid multi-cloud services offerings along with accelerating its AI and hybrid cloud strategy.
Jan-2022: Oracle acquired Federos, an IT Services and IT Consulting company. This acquisition aimed to empower service providers through AI-optimized service as well as network analytics, assurance, and automated orchestration.
Apr-2020: NVIDIA acquired Mellanox Technologies, an Israeli-American multinational supplier of computer networking products. With this acquisition, the company aimed to allow customers to experience higher performance, lower operating costs, and increased utilization of computing resources.
Market Segments covered in the Report:
By Technology
By Sales Channel
By Component
By Application
By Geography
Companies Profiled
Unique Offerings from KBV Research
List of Figures