零售市场增长报告中的人工智能| 2031 年股价分析与预测

  • Report Code : TIPTE100000703
  • Category : Technology, Media and Telecommunications
  • No. of Pages : 170
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[研究报告] 零售业人工智能市场规模预计将从 2022 年的 65.9 亿美元增长到 2031 年的 524.5 亿美元;预计 2022 年至 2031 年的复合年增长率为 29.6%。

 

分析师观点:

零售业正在因人工智能 (AI) 而发生变化。零售商可以使用人工智能 (AI) 与客户互动并更有效地经营业务,从利用计算机视觉实时修改促销活动到利用机器学习进行库存管理。如果零售企业想在当前的全球市场中竞争,就必须将利润和生产力放在首位。为了确保成功并保持对竞争对手的优势,需要采取快速有效的行动。 人工智能 (AI)可以通过提高收入和简化行政程序来增强零售业务。人工智能为公司采用“智能”人员配备和补货选择铺平了道路,这些选择可以节省劳动力和供应成本,帮助避免缺货情况并促进销售。零售职位将因人工智能而发生变化,从而提高企业效率。随着技术的发展,零售公司更有兴趣了解人工智能如何改变该行业。

例如,根据美国零售联合会 (NRF) 2023 年的一份报告,最近,Levi Strauss & Co. 宣布将使用定制 AI 创建的模型。Puma 和 American Eagle 都声称分别使用 AI 进行库存跟踪和定制消费者造型。为了提供更多不同的体型,Levi's 打算使用 AI 来协助其模型。该公司告诉 NRF,它将在今年晚些时候在 Levi.com 上探索一个“有限、受监管”的项目,使用 AI 生成的模型来“了解更多信息,看看我们是否可以改善整个消费者体验”。此外,该联合会表示,大约 60-70% 的零售商不知道物品在其供应链中的位置,他们无法跟踪物品在商店之间的移动。即使是技术最精湛的公司也面临着大量巨大的挑战。这表明人工智能在零售市场的应用潜力巨大。

 

零售市场人工智能概览:

零售业随着消费者需求和技术进步而不断变化。随着零售业从实体店向电子商务再到全渠道转型,人工智能以多种方式帮助零售商改善运营,包括需求预测和建议。零售业广泛使用人工智能的主要例子是需求预测、建议、无收银员技术、库存管理和客户情绪分析等。零售商越来越多地希望通过人工智能来控制成本并了解客户如何与其产品互动,从而获得优势。需求预测是零售业最常用的人工智能用途之一。为了管理供应链、优化库存水平和防止降价,零售商必须首先了解哪些客户想要特定的产品以及他们在哪里想要这些产品。例如,耐克在 2021 年斥资 1.1 亿美元收购了一家名为 Celect 的人工智能初创公司,以帮助其更好地实时分析消费者需求并定位必要的供应。

品牌现在能够通过定制让每笔购买交易都变得有意义和令人愉快。事实上,在当今的零售环境中,个性化的购物体验对于客户参与度、留存率和忠诚度至关重要。由于人工智能提供无摩擦的体验,让客户满意,认为他们做出了正确的购买,个性化也与更高的转化率和产品销售量息息相关。例如,根据 Salesforce 2016 年的报告,如果企业没有个性化与他们的沟通,52% 的客户可能会转移品牌。如今联网的客户期待更快的零售更新。事实上,69% 的消费者表示,他们期待找到新产品,无论是亲自购物还是在线购物。每次客户访问在线业务时,人工智能都可以分析他们的浏览历史记录,自动为他们提供新鲜的产品选项。这可以防止消费者厌倦查看相同的产品,并有助于激发冲动购买,尤其是在移动设备上。

 

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零售市场中的人工智能:战略洞察

Artificial Intelligence in Retail Market
  • 获取此报告的关键市场趋势。
    这个免费样品将包括数据分析,从市场趋势到估计和预测。

 

零售市场人工智能驱动因素:

 

个性化购物偏好日益增长,推动零售市场人工智能增长

消费者从人工智能中获益。 聊天机器人可以帮助购物者快速浏览商店并获得量身定制的产品推荐。由于人工智能技术在该领域的日益普及,零售商现在拥有了新的和创造性的方法来与客户互动、简化运营并促进销售。为了估计需求和管理库存水平,算法可能会检查包括过去销售数据、天气模式和社交媒体趋势在内的要素。总的来说,这项研究可以帮助商家减少浪费、避免库存问题并提高利润。零售商可以使用人工智能评估客户数据(例如购买历史和浏览习惯),发送有针对性的定制营销信息。这不仅使营销传播更加切题,而且还可以增强整个客户体验。人工智能在零售市场对消费者最重要的用途之一是其定制营销能力。在零售领域,个性化已成为一个关键的成功因素。例如,Stylitics 是一家顶级的人工智能数字营销和造型解决方案提供商,它正在帮助零售商克服这一困难并保持领先地位。 Stylitics 平台利用消费者数据和机器学习算法为客户提供高度定制化的建议。在每年超过 500 亿次购物中,该系统会提供服装和套装推荐,到 2022 年,它将使消费者收入增加 40 多亿美元,并额外销售 2 亿件产品。

 

零售市场人工智能细分分析:

根据应用,零售市场中的人工智能细分为预测分析、店内视觉监控和监视、客户关系管理、市场预测、库存管理等。库存管理在市场中占有主要份额,并且以最高的增长率增长。人工智能可以自动化库存跟踪和管理流程,这有助于零售商保持最佳库存。这主要推动了该细分市场的增长。人工智能工具还能够分析影响库存计划、储存和交付成功程度的每个内部和外部因素。最终结果是库存管理错误减少,这有助于企业削减开支并提高客户满意度。由于机器人能够评估数据并预测需求趋势,因此从操作方面来看也更有效。它们还提供了更高的效率,可以节省每个操作所花费的时间,并消除了人为错误的可能性。从财务角度来看,由人工智能驱动的机器人比人工需要更低的运营成本。与需要月薪和福利的人类员工不同,这些机器只需要一次性的购置费和日常维护费。例如,根据 2021 年《麻省理工学院技术评论》的一篇文章,Knapp 已部署了约 2,000 台人工智能机器人用于仓储操作。同样在 2023 年,沃尔玛推出了第二个市场配送中心 (MFC),该中心采用 Alphabot 定制的存储和检索系统运行,该系统使用自动推车来取回购买的用于在线杂货配送的商品。

 

零售市场人工智能区域分析:

在北美地区,美国正在大力投资开发零售技术的人工智能,以供各个行业的商业应用。该地区是沃尔玛和亚马逊等全球主要零售企业的所在地。这些顶级零售企业在采用创新的零售技术人工智能方面处于领先地位,以使他们的业务无缝衔接。例如,2022 年 11 月,亚马逊最新的智能机器人设备 Sparrow 亮相。据亚马逊称,Sparrow 通过在包装之前移动单个产品来加快履行流程。据亚马逊称,Sparrow 是其仓库中第一个能够识别、挑选和处理库存中特定物品的机器人。据制造商称,Sparrow 是工业机器人尖端技术的重大改进,利用计算机视觉和人工智能 (AI) 来识别和管理数百万种产品。

 

 

零售市场人工智能区域洞察

Insight Partners 的分析师已详细解释了预测期内影响零售市场人工智能的区域趋势和因素。本节还讨论了零售市场人工智能的各个细分市场和地理位置,包括北美、欧洲、亚太地区、中东和非洲以及南美和中美洲。

Artificial Intelligence in Retail Market
  • 获取零售市场人工智能的区域特定数据

零售市场人工智能报告范围

报告属性细节
2023 年的市场规模85.4 亿美元
2031 年市场规模679.7亿美元
全球复合年增长率(2023 - 2031)29.60%
史料2021-2022
预测期2024-2031
涵盖的领域通过奉献
  • 解决方案与服务
按功能
  • 以运营为中心,面向客户
按类型
  • 线上线下
按应用
  • 预测分析
  • 店内视觉监控和监视
  • 客户关系管理
  • 市场预测
  • 库存管理
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  •  
  • Sentient 科技控股有限公司
  • 曼森软件服务列兵。有限公司
  • Focal 系统公司
  • 微软公司
  • 维森泽
  • 塔塔咨询服务有限公司
  • Salesforce.com公司
  • Plexure 有限公司
  • 谷歌公司

市场参与者密度:了解其对商业动态的影响

零售市场中的人工智能市场正在快速增长,这得益于终端用户需求的不断增长,这些需求源于消费者偏好的不断变化、技术进步以及对产品优势的认识不断提高等因素。随着需求的增加,企业正在扩大其产品范围,进行创新以满足消费者的需求,并利用新兴趋势,从而进一步推动市场增长。

市场参与者密度是指在特定市场或行业内运营的企业或公司的分布情况。它表明在给定市场空间中,相对于其规模或总市场价值,有多少竞争对手(市场参与者)存在。

在零售市场人工智能运营的主要公司有:

  1. Sentient 科技控股有限公司
  2. 曼森软件服务列兵。有限公司
  3. Focal 系统公司
  4. 微软公司
  5. 维森泽

免责声明上面列出的公司没有按照任何特定顺序排列。


Artificial Intelligence in Retail Market

 

  • 了解零售市场人工智能顶级关键参与者概况

 

零售市场人工智能关键参与者分析:

零售市场人工智能分析包括 DataRobot, Inc.、IBM、OpenAI、微软、亚马逊、谷歌、Dataiku、Salesforce、百度、SAP 等参与者,它们是报告中介绍的零售市场人工智能主要参与者。

 

零售市场人工智能的最新发展:

 

零售市场中的人工智能公司高度采用并购等无机和有机战略。以下列出了一些近期的关键市场发展:

  • 2023 年 9 月,亚马逊在零售市场引入了生成式人工智能,以协助供应商创建产品描述。借助一套新的生成式人工智能功能,亚马逊卖家将更容易编写更详细、更有趣的产品描述、名称和列表功能。随着这些新功能的加入,供应商将能够更快、更轻松地列出新产品并增强其现有列表,让买家在购买时更加放心。
  • 2023 年 6 月,家乐福将基于 ChatGPT 技术实施三项尖端技术解决方案:carrefour.fr 的购物助理机器人、家乐福网站上的品牌产品产品描述表以及购买流程协助。OpenAI 背后的技术,尤其是 GPT-4,构成了这些解决方案的基础。
  • 2023 年 6 月,微软推出了由人工智能 (AI) 驱动的全新 Bing 和 Edge 购物功能,让客户能够“放心”购物和省钱。利用人工智能的力量,新功能可帮助用户在一个方便的位置查找信息、进行研究和完成购买。
  • 2023年1月,为了让顾客获得更加无缝的在线购物体验并帮助商家管理店内库存,Google Cloud 发布了四项全新升级的 AI 功能。
  • Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
  • PEST and SWOT Analysis
  • Market Size Value / Volume - Global, Regional, Country
  • Industry and Competitive Landscape
  • Excel Dataset
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

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The List of companies

1. Sentient Technologies Holdings Limited
2. Manthan Software Services Pvt. Ltd
3. Focal Systems Inc
4. Microsoft Corporation
5. ViSenze
6. Tata Consultancy Services Limited
7. Salesforce.com, Inc
8. Plexure Ltd.
9. Google,Inc
10. IBM Watson Group


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The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.