Global Smart Retail Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2023 –2029 |
 Market Size (Base Year) |
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 Market Size (Forecast Year) |
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 CAGR |
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>全球智能零售市场，按系统（数字标牌解决方案、智能标签、智能支付系统、智能自动售货机、增强现实解决方案、虚拟现实解决方案、POS 解决方案、智能购物车、机器人、分析）、应用（人流量监控、库存管理、智能试衣间、品牌保护、预测性设备维护和忠诚度管理、支付）、零售产品（服装和配饰、快速消费品、耐用品和休闲用品等）、技术（视觉识别、区块链、人工智能、移动设备）、国家（美国、加拿大、墨西哥、巴西、阿根廷、南美洲其他地区、德国、意大利、英国、法国、西班牙、荷兰、比利时、瑞士、土耳其、俄罗斯、欧洲其他地区、日本、中国、印度、韩国、澳大利亚、新加坡、马来西亚、泰国、印度尼西亚、菲律宾、亚太其他地区、沙特阿拉伯、阿联酋、南非、埃及、以色列、中东和非洲其他地区）行业趋势和预测到 2029 年
市场分析与洞察 全球智能零售市场
预计在 2022 年至 2029 年的预测期内，智能零售市场将以 23.12% 的速度增长。Data Bridge 市场研究关于智能零售市场的报告提供了有关预测期内预计会盛行的各种因素的分析和见解，同时提供了它们对市场增长的影响。全球终端用户垂直行业的增长正在加速智能零售市场的增长。
智能零售被定义为物联网 (IoT) 和大数据分析用于零售目的的结合。这使得各种流程变得简单，例如售票和计费等。数据分析有助于以方便的方式跟踪所有过去的记录。云计算解决方案有助于远程访问数据。
全球零售业的扩张是推动智能零售市场增长的主要因素之一。机器人和自动化的使用增加，为顾客提供购物便利，零售商由于顾客期望的变化而增加对智能技术的使用，这些都加速了市场的增长。零售商采用大数据分析、区块链、机器学习和人工智能技术进一步影响了市场。此外，物联网的采用率上升、电子商务行业的增长、可支配收入的激增以及对提供更好购物体验的高度关注，都对智能零售市场产生了积极影响。此外，智能商店数量的增加导致自助送货车的采用率上升，这将在 2022 年至 2029 年的预测期内为市场参与者带来盈利机会。
On the other hand, high maintenance costs of advanced high-end computing systems and high risks of customer data thefts are expected to obstruct the market growth. Increase in instances of shoplifting is projected to challenge the smart retail market in the forecast period of 2022-2029.
This smart retail market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on smart retail market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Smart Retail Market Scope and Market Size
The smart retail market is segmented on the basis of system, application, retail offering and technologies. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- On the basis of system, the smart retail market is segmented into system, smart retail market is segmented into digital signage solutions, smart labels, smart payment system, intelligent vending machines, augmented reality solutions, virtual reality solutions, POS solutions, smart carts, robotics and analytics. Digital signage solution is sub-segmented into displays, media players, PCs and set-top boxes, mounts and cables. Smart labels are sub-segmented into smart beacons, and electronic shelf labels. Smart payment system is sub-segmented into NFC-ready POS terminals, and NFC-ready MPOs terminals.
- On the basis of application, the smart retail market is segmented into foot traffic monitoring, inventory management, smart fitting rooms, brand protection, predictive equipment maintenance and loyalty management and payments.
- On the basis of retail offering, the smart retail market is segmented into apparel and accessories, fast moving consumer goods, hardlines and leisure goods and others.
- On the basis of technologies, the smart retail market is segmented into visual recognition, blockchain, artificial intelligence and mobiles.
Smart Retail Market Country Level Analysis
The smart retail market is analyzed and market size, volume information is provided by country, system, application, retail offering and technologies as referenced above.
智能零售市场报告涵盖的国家包括北美洲的美国、加拿大和墨西哥，南美洲的巴西、阿根廷和南美洲其他地区，欧洲的德国、意大利、英国、法国、西班牙、荷兰、比利时、瑞士、土耳其、俄罗斯，欧洲其他地区，亚太地区 (APAC) 的日本、中国、印度、韩国、澳大利亚、新加坡、马来西亚、泰国、印度尼西亚、菲律宾，亚太地区 (APAC) 的其他地区，沙特阿拉伯、阿联酋、南非、埃及、以色列，中东和非洲 (MEA) 的其他地区。
由于部署了大数据分析、接待机器人和智能试衣镜等智能零售解决方案，北美在智能零售市场占据主导地位。由于该地区零售业的扩张，预计亚太地区将在 2022 年至 2029 年的预测期内实现最高增长。
报告的国家部分还提供了影响单个市场因素和国内市场监管变化，这些因素和变化影响了市场的当前和未来趋势。下游和上游价值链分析、技术趋势和波特五力分析、案例研究等数据点是用于预测单个国家市场情景的一些指标。此外，在提供国家数据的预测分析时，还考虑了全球品牌的存在和可用性以及它们因来自本地和国内品牌的大量或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。
竞争格局及智能零售市场份额分析
智能零售市场竞争格局按竞争对手提供详细信息。详细信息包括公司概况、公司财务状况、收入、市场潜力、研发投资、新市场计划、区域业务、公司优势和劣势、产品发布、产品宽度和广度、应用主导地位。以上提供的数据点仅与公司对智能零售市场的关注有关。
智能零售市场报告中的一些主要参与者包括英特尔、IBM、Nvidia、三星电子、微软、谷歌、PTC、亚马逊、恩智浦半导体、思科系统、LG Display、华为投资控股、Par Technology、德州仪器、霍尼韦尔、博世集团、软银机器人控股、博通有限公司、Ingenico 和 Verifone 等。
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研究方法
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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