من المتوقع أن يسجل سوق السوبر ماركت معدل نمو سنوي مركب بنسبة 16.5٪ من عام 2023 إلى عام 2031، مع توسع حجم السوق من XX مليون دولار أمريكي في عام 2023 إلى XX مليون دولار أمريكي بحلول عام 2031.
يقدم البحث في سوق الدفع بالذكاء الاصطناعي في السوبر ماركت نظرة عامة على الديناميكيات السائدة حاليًا في السوق، إلى جانب اتجاهات النمو التي من المرجح أن يتم ملاحظتها في المستقبل القريب. يسلط التقرير الضوء على المحركات الرئيسية للابتكار، بما في ذلك تحسين تجربة العملاء والكفاءة التشغيلية، وارتفاع المدفوعات غير التلامسية، من بين محركات أخرى، والتحديات التي يواجهها القطاع، مثل الخصوصية وتكاليف التنفيذ.
يتم تقسيم السوق العالمية بناءً على المكونات وحجم المنظمة. يوفر التقسيم نظرة ثاقبة رائعة للوظائف والتفضيلات المحددة التي تدفع كل شريحة.
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يهدف تقرير SuperMarket الصادر عن The Insight Partners إلى وصف المشهد الحالي والنمو المستقبلي، وأهم العوامل المحركة، والتحديات، والفرص. وسيوفر هذا رؤى لمختلف أصحاب المصلحة في الأعمال التجارية، مثل:
- مزودي/مصنعي التكنولوجيا: لفهم ديناميكيات السوق المتطورة ومعرفة فرص النمو المحتملة، وتمكينهم من اتخاذ قرارات استراتيجية مستنيرة.
- المستثمرون: إجراء تحليل شامل للاتجاهات فيما يتعلق بمعدل نمو السوق، وتوقعات السوق المالية، والفرص المتاحة عبر سلسلة القيمة.
- الهيئات التنظيمية: لتنظيم السياسات ومراقبة الأنشطة في السوق بهدف تقليل الانتهاكات والحفاظ على ثقة المستثمرين ودعم سلامة السوق واستقرارها.
تجزئة السوبر ماركت
عنصر
- حل
- خدمة
حجم المنظمة
- صغير
- واسطة
- كبير
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سوق الدفع بالذكاء الاصطناعي في السوبر ماركت: رؤى استراتيجية
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محركات نمو السوبر ماركت
- Improved operational efficiency and enhanced customer experience: Improved customer experience, being one of the major reasons, is probably why AI checkout systems are being largely adopted. Traditional checkout systems make customers wait for long periods of time, which tends to irritate them. As indicated by a study conducted in 2022 by IHL Group, self-checkout systems can reduce wait times up to 40%. With this checkout streamlining, queues will definitely lessen, since customers can do the transaction at their own pace, which is what most consumers who are tech-savvy like.
- Cost efficiency: Automating checkouts helps supermarkets save labor costs by a huge margin. A McKinsey report says that automated solutions can help retailers save up to 25% in operational costs. An AI-driven system has the capability to analyze real-time data of customer flow and optimize staffing to ensure that no resource is underdeployed or overutilized without affecting service quality.
- AI-powered checkout systems: These systems enable supermarkets to gain valuable insights through data analytics of customer behaviors. This system will not only provide information on purchase patterns but also help the retailer in devising specific marketing strategies as well as manage product inventory. According to a Deloitte study, data-driven decisions increase the productivity and profitability of retail by approximately 5-6%. Knowing customers' likes, the supermarket would make informed decisions on promotions and stock levels, thus boosting sales and enhancing customer satisfaction. According to one study conducted by JDA and Centiro, 62% of consumers prefer stores which have self-service checkout options. The reason behind this change in attitude in consumer behavior signals a change that needs to occur in the supermarket business to meet the expectations set forth by their consumers.
SuperMarket Future Trends
- High-tech AI technologies: The supermarket AI-powered checkout market is a source of significant transformation, moving from several key trends reflecting both advances in technology and changing consumer preferences. After all, today's consumer would like to shop more quickly and conveniently. Because of that, one of the major trends that is finding a hold in the retail sector is an increase in self-checkout systems. Many supermarkets already deploy AI-based self-checkout systems to enable customers to scan items for purchase and independently make a payment. With this, it reduces waiting in line, thus improving customer overall satisfaction. The other critical trend involves the incorporation of high-tech AI technologies like machine learning and computer vision into checkout systems. This sets processes running smooth and automated for item scanning and processing of payments with minimal human error, hence high levels of accuracy. It has been shown from research that a considerable proportion of consumers do not mind adopting this technology if it will add some value to their shopping experience.
- Personalization in the AI-powered checkout: supermarkets exploit data analytics to offer relevant and personalized one-to-one promotions and product recommendations upon checkout. Supported by the analysis of customers' buying behavior, AI can make personalized offers that appeal directly to every unique taste, thus fostering loyalty and encouraging repeat business.
- Real time Transaction Monitoring: While the technology of automation rises, security has become a major concern for AI-powered checkout systems. These can monitor transactions in real time and flag those which may be suspicious or fraudulent activities. As retail theft is an extremely costly one for supermarkets, the use of AI with enhanced security features to contribute to lesser shrinkage protects the profitability of a supermarket business.
SuperMarket Opportunities
- Improve the experience of customers: Attacting better CX by reducing waiting time through features such as automatic checkout and smart carts. Customers can scan their items as they shop; this will give them an efficient and smooth checkout. Supermarkets will have a greater chance of improving customer satisfaction and loyalty from these systems, further foreseen to improve supermarket AI-powered checkout market share in coming.
- Cater Personalized shopping experience: AI can analyze customers' purchase histories and preferences. That gives recommendations and promotions at the point of checkout. This will be a pleasant shopping experience and will also encourage incremental sales since customers are likely to purchase something that comes up as their recommendation and is of interest to them.
- Inventory Management: AI-integrated checkout systems will provide real-time views of inventory. By observing the constant purchasing of certain products together, or trending customer behaviour, supermarkets will be able to keep the appropriate levels of stock and optimize the supply chain by reducing waste and further improving profitability.
Supermarket AI-powered Checkout Market Regional Insights
The regional trends and factors influencing the Supermarket AI-powered Checkout Market throughout the forecast period have been thoroughly explained by the analysts at Insight Partners. This section also discusses Supermarket AI-powered Checkout Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.
- Get the Regional Specific Data for Supermarket AI-powered Checkout Market
Supermarket AI-powered Checkout Market Report Scope
| Report Attribute | Details |
|---|---|
| Market size in 2023 | US$ XX million |
| Market Size by 2031 | US$ XX Million |
| Global CAGR (2023 - 2031) | 16.5% |
| Historical Data | 2021-2022 |
| Forecast period | 2024-2031 |
| Segments Covered | By component
|
| Regions and Countries Covered | North America
|
| Market leaders and key company profiles |
|
Supermarket AI-powered Checkout Market Players Density: Understanding Its Impact on Business Dynamics
The Supermarket AI-powered Checkout Market market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.
Market players density refers to the distribution of firms or companies operating within a particular market or industry. It indicates how many competitors (market players) are present in a given market space relative to its size or total market value.
Major Companies operating in the Supermarket AI-powered Checkout Market are:
- Mashgin, Inc.
- AiFi Inc.
- FOCAL SYSTEMS INC.
- Accel Robotics Corporation
- Toshiba Corporation
Disclaimer: The companies listed above are not ranked in any particular order.
- Get the Supermarket AI-powered Checkout Market top key players overview
Key Selling Points
- Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the SuperMarket, providing a holistic landscape.
- Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
- معلومات محدثة: يضمن التقرير أهمية الأعمال التجارية بسبب تغطيته للمعلومات الحديثة واتجاهات البيانات.
- خيارات التخصيص: يمكن تخصيص هذا التقرير لتلبية متطلبات العملاء المحددة وبما يتناسب مع استراتيجيات العمل بشكل مناسب.
وبالتالي، فإن تقرير البحث عن السوبر ماركت يمكن أن يساعد في تمهيد الطريق لفك شفرة وفهم سيناريو الصناعة وآفاق النمو. ورغم أن هناك بعض المخاوف المشروعة، فإن الفوائد الإجمالية لهذا التقرير تميل إلى التفوق على العيوب.
- التحليل التاريخي (سنتان)، السنة الأساسية، التوقعات (7 سنوات) مع معدل النمو السنوي المركب
- تحليل PEST و SWOT
- حجم السوق والقيمة / الحجم - عالميًا وإقليميًا وقطريًا
- الصناعة والمنافسة
- مجموعة بيانات Excel
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Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
الأسئلة الشائعة
Some of the customization options available based on request are additional 3-5 company profiles and country-specific analysis of 3-5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation, as our team would review the same and check the feasibility.
The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request.
Leading market players in this market are -Mashgin, Inc., AiFi Inc., FOCAL SYSTEMS INC., Accel Robotics Corporation, Toshiba Corporation, Fujitsu Limited, NCR Corporation, Standard Cognition, Trigo, Zippin
The market is expected to register a CAGR of 16.5% during 2021-2031
The supermarket AI-powered checkout market is driven by the need for enhanced customer experience, cost efficiency, real-time analytics, and the integration of advanced technologies.
the future of the supermarket AI-powered checkout market is characterized by advancements in technology, personalization, and sustainability.
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The List of Companies
1. Mashgin, Inc.
2. AiFi Inc.
3. FOCAL SYSTEMS INC.
4. Accel Robotics Corporation
5. Toshiba Corporation
6. Fujitsu Limited
7. NCR Corporation
8. Standard Cognition
9. Trigo
10. Zippin
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- 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.
- 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:
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.
- 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.
- 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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