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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Artificial Intelligence in Retail Market Dynamics 2021-2031

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【研究报告】人工智能零售市场规模预计将从2022年的65.9亿美元增长到2030年的524.5亿美元;预计 2022 年至 2030 年复合年增长率为 29.6%。

分析师观点:

由于人工智能 (AI),零售业正在发生变化。零售商可以使用人工智能 (AI) 与客户互动并更有效地运营业务,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。零售企业要想在当今的全球市场上竞争,就必须把利润和生产力放在第一位。为了确保成功并保持相对于竞争对手的优势,需要采取快速有效的行动。人工智能 (AI) 可以通过增加收入和简化管理程序来增强零售业务。人工智能为公司采用“智能”人员配置和补货选择铺平了道路,从而节省劳动力和供应成本,帮助避免缺货情况并促进销售。人工智能将改变零售业的地位,提高企业效率。零售公司更感兴趣的是,随着技术的发展,人工智能如何改变该行业。

例如,根据国家零售联合会 2023 年的一份报告,最近,Levi Strauss & ;公司宣布将使用定制人工智能创建的模型。 Puma 和 American Eagle 都声称分别利用人工智能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,李维斯打算使用人工智能来辅助其模型。该企业告知 NRF,它将在今年晚些时候在 Levi.com 上探索一个使用人工智能生成模型的“有限的、受监管的”项目,以便“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,该联盟指出,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移动的情况。即使是技术最精通的组织仍然有大量巨大的物品挑战。这预示着人工智能在零售市场应用的潜力。

人工智能在零售市场概述:

零售业随着消费者需求和技术进步而不断变化。随着零售业从实体零售业转型,人工智能通过多种方式帮助零售商改善运营,包括需求预测和建议-and-mortar 到电子商务到全渠道。零售行业广泛使用人工智能的主要例子是需求预测、推荐、无收银技术、库存管理和客户情绪分析等。零售商越来越多地寻求人工智能来通过成本控制和了解客户如何与其产品互动来获得优势。需求预测是人工智能在零售行业最常用的用途之一。为了管理供应链、优化库存水平并防止降价,零售商必须首先了解哪些客户需要特定产品以及他们在哪里需要这些产品。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,帮助其更好地实时分析消费者需求并定位必要的供应。

品牌现在拥有通过定制使每笔购买交易相关且令人愉快。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、保留率和忠诚度至关重要。由于人工智能提供了无摩擦的体验,让客户对自己做出了正确的购买感到满意,因此个性化也与更高的转化率和产品销量息息相关。例如,根据 Salesforce 2016 年的报告,如果企业不与其进行个性化沟通,52% 的客户可能会转移品牌。今天联网的客户期望更快的零售更新。事实上,69% 的消费者表示,无论是亲自购物还是网上购物,他们都希望找到新产品。每次客户访问在线企业时,人工智能都可以分析他们的浏览历史记录,自动为他们提供新的产品选择。这可以防止消费者对查看相同的产品感到厌倦,并有助于激发冲动购买,尤其是在移动设备上。

战略见解

零售市场驱动力中的人工智能:

对个性化购物的偏好不断增加,以推动零售市场的增长零售市场中的人工智能

消费者从人工智能中获利。聊天机器人可以帮助购物者快速浏览商店并接收量身定制的产品推荐。由于人工智能技术在该行业的日益普及,零售商现在有了新的创意方法来与客户互动、简化运营并提高销售额。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元素。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。零售商可以通过使用人工智能评估客户数据(例如购买历史记录和浏览习惯)来发送有针对性的定制营销信息。这不仅使营销传播更具针对性,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的能力。在零售领域,个性化已成为关键的成功因素。例如,人工智能驱动的数字营销和造型解决方案的顶级供应商 Stylitics 正在帮助零售商克服这一困难并保持领先地位。 Stylitics 平台使用消费者数据和机器学习算法为客户提供高度定制的建议。其系统在每年超过 500 亿次的购物会话中提供服装和套装推荐,到 2022 年,它将为消费者增加超过 40 亿美元的收入,并额外销售 2 亿件产品。

 

 

 

零售市场细分中的人工智能分析:

基于应用,零售市场人工智能分为预测分析、店内视觉监控和零售市场人工智能。监控、客户关系管理、市场预测、库存管理等。库存管理在市场上占有主要市场份额,并且也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。这主要推动了该领域的增长。人工智能工具还能够分析影响库存计划、库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的减少,这有助于企业削减开支并提高客户满意度。由于机器人具有评估数据和预测需求趋势的能力,因此在操作方面也更加有效。它们还提高了每个操作所花费的时间的效率,并消除了人为错误的可能性。从财务角度来看,人工智能驱动的机器人比人力需要更低的运营成本。与人类员工要求月薪和福利不同,这些机器只需要一次性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 个人工智能驱动的机器人用于存储操作。同样在 2023 年,沃尔玛推出了第二个市场履行中心 (MFC),该中心在利用 Alphabot 的定制存储和检索系统上运行,该系统使用自动购物车来获取在线杂货配送购买的商品。

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人工智能零售技术的智能,适用于各个行业的业务应用。该地区是沃尔玛和亚马逊等世界主要零售企业的所在地。这些顶级零售企业处于在零售技术中采用创新人工智能的前沿,以使其业务无缝衔接。例如,2022 年 11 月,亚马逊最新智能机器人设备 Sparrow 亮相。据亚马逊称,Sparrow 通过在包装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。

 

 

 

零售市场人工智能关键参与者分析:

零售市场分析中的人工智能由 DataRobot, Inc. 等参与者组成; IBM;开放人工智能;微软;亚马逊;谷歌;达泰库;销售队伍;百度; SAP 是报告中介绍的零售市场人工智能主要参与者之一。

零售市场人工智能最新发展: 

零售市场人工智能企业高度采用并购等无机和有机策略。下面列出了最近的一些关键市场动态:

  • 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,亚马逊卖家将发现可以更轻松地编写更详细、更有趣的产品描述、名称和列表功能。通过添加这些新功能,供应商将能够更快速、更轻松地列出新产品,并增强其当前的列表,让买家在购买时更有信心。
  • 2023 年 6 月,家乐福将基于ChatGPT技术实施三项前沿技术解决方案:carrefour.fr的购物助理机器人、家乐福网站上的品牌产品的产品说明表以及采购流程协助。 OpenAI 背后的技术,特别是 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) 驱动的新 Bing 和 Edge 购物功能,该功能将让客户“放心”地购物并省钱。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、进行研究并完成购买。
  • 2023 年 1 月,为了给客户提供更加无缝的在线购物体验并帮助商家管理店内库存,Google Cloud 将发布四项全新升级的 AI 功能。
Report Coverage
Report Coverage

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

Segment Covered
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Regional Scope
Regional Scope

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

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

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.

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  • 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.

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