Global Artificial Intelligence in Retail Market, Application (advertising, merchandizing, market forecast, surveillance), Technology (Deep Learning, Neural networks, Natural language processing) Component (Solution, Services), Deployment - Forecast 2027
ID: MRFR/ICT/3574-HCR | February 2021 | Region: Global | 100 pages
Artificial Intelligence in Retail Market Overview:
Artificial Intelligence in Retail Market is projected to grow at 35% CAGR during the forecast period. Machine learning and the deeper learning technological elements are significantly expected to share during the forecast period. The companies involved in the retail industry are using the technology to offer the best customer experience and bring growth to their business.
The use of artificial intelligence in the retail industry mainly focuses on optimizing the supply chain, customizing the shopping experience for the clients, and micro-targeting on pricing. However, there are many challenges in the retail sector that artificial intelligence takes care of.
COVID-19 Analysis:
Almost every business across the globe has experienced a severe setback since the onset of this deadly pandemic. While every organization is looking for ways to combat loss, they also want guidance to ensure that they can work efficiently and smoothly in the coming future. In contrast, no one is still sure about the end of the pandemic. Some things need to be changed in the working pattern to ensure a perfect working environment, and Artificial Intelligence in Retail Market Analysis is done perfectly by the experts.
The industry experts have been taking care of every organization's needs through the most beautiful Artificial Intelligence in Retail Market Research Report. The focus is laid on guiding them in a way that they can perform the best. Comparing the Global Artificial Intelligence in Retail Market pre and post covid times and suggesting the proper steps has been the report's goal.
Artificial Intelligence in Retail Market Dynamics:
Growth:
Artificial intelligence in the retail stores market has not only gained popularity but is also witnessing tremendous growth in AI Market value. Also, the expected CAGR of the market during the upcoming forecast period is 35% which is considerably high for a market. Growth has been depending on various factors and has been working efficiently under given circumstances.
Drivers:
Two main factors have been bringing growth in Artificial Intelligence in Retail Market. One of them is the increase in the popularity of the virtual fitting rooms, enabling the shoppers to have an outstanding shopping experience, especially during the COVID times, because it does not involve any physical contact with the products. The second factor is the growth in the demand for all-driven chatbots. While the companies have focused on providing a personalized customer service experience, the al-driven chatbots save time and cost and are user-friendly.
Restraints:
The primary factor hampering Artificial Intelligence in Retail Market Growth is the lack of infrastructure and the higher implementation costs associated with its implementation. As a result, small-scale organizations with a limited budget find it expensive and burdening to implement the system in their business.
Regulatory Implications:
The regulatory implications on Artificial Intelligence in Retail Market might not affect the market on a larger scale but affects its growth for sure. The primary concern in the market has always stayed to be security. While the market comes with numerous benefits, one of those things that have been a concern is the safety part. Some regulations tend to maintain this aspect and cause a minor hindrance in the growth. However, it is required too but tends to harm the working efficiency without a doubt. The governments and the regulatory bodies have been ensuring the security of the companies and most of all the customers; the laws mainly focus on bringing out the technology that is not only beneficial but also safe to use.
Global Artificial Intelligence in Retail Market, USD Billion: 
Artificial Intelligence in Retail Market Segmentation Overview:
The Artificial Intelligence in Retail Market Segments can be classified based on the following:
- Based on the application
- Based on the technology
- Based on the component
- Based on the deployment
- Based on the application
Based on the application, the Artificial Intelligence in Retail Business can further be divided into the following sections:
- Advertizing
- Market forecast
- Merchandizing
- Surveillance and analytics
- Based on the technology
Based on the technology, Artificial Intelligence in Retail Market Segments are as follows:
- Neural networks
- Deep learning
- Facial recognition
- Natural language processing
- Voice assistance
- Based on the components
Based on the components, the market can be subdivided into the following:
- Solutions
- Services
The solutions segment is further divided into customer relationship management, product planning, visual search, supply chain management, and virtual assistant.
Services are further bifurcated into Managed, professional, installation, and maintenance services.
Based on the Deployment:
Based on the deployment, the market is further segmented into the following
- Premise
- Cloud
Regional Analysis:
The artificial intelligence in the retail stores market is divided into the following based on the regions.
- North America
- Europe
- Asia pacific
- Rest of the world
The region dominates the Artificial Intelligence in Retail Market Trends in North America due to an increase in the demand for artificial intelligence in major countries like the U.S. and Canada. The part tends to have the largest share in the AI Market.
The region that follows North America is Europe, with technologically advanced countries like the U.K., Netherlands, France, Germany, and many more. Moreover, the area also has many progressive companies situated in the region, bringing growth.
The Asia Pacific is expecting the highest growth in the market due to increased demand in countries like India, China, and Japan.
Artificial Intelligence in Retail Market Competitive Landscape:
The major players in the Global Artificial Intelligence in Retail Market are NVIDIA Corporation (U.S.), SAP SE (Germany), Intel Corporation (U.S.), Oracle Corporation (U.S.), Salesforce (U.S.), Amazon Web Services (U.S.), Sentient Technologies (U.S.), Google Inc (U.S.), IBM Corporation (U.S.) and Microsoft Corporation (U.S.)
All the major players in the market have been working hard to bring the desired growth in the market. Collaborations, acquisitions, and mergers have been getting tremendous growth in the market. The plans and the strategies they have been implanting are well planned and have also been helping the newcomers to understand the depth of the need to a great extent.
Recent Developments:
- SAP SE announced a series of innovations in May 2019 that aimed to make the adding of robotics and artificial intelligence easier and enable easy customization of apps.
- Amazon web services allowed its developers to make applications that speak Arabic and make speech-enabled products and services in April 2019.
- Warby Parker started the practice of innovating the ways in April 2019. This technology enables the users to try the virtual frames through augmented reality and overlay the computer-generated images into eth real-world photos.
- Microsoft Corporation launched Al-powered dynamic 365 solutions in July 2020, which uses cameras and IoT sensors and provides customized recommendations to eth customers.
- Retailnext and YOOBIC partnered in February 2020 to enhance the customers' in-store shopping experience.
Report Overview:
The report has been prepared exclusively for artificial intelligence in the retail stores market. The industry experts have worked thoroughly to get the most recent and up-to-date information about the market. The report has an overview of the market, the Artificial Intelligence in Retail Market Analysis of the Artificial Intelligence in Retail Market Trends based on the COVID-19 analysis, and the market dynamics, including growth, the driving factors, and the restraints in the market. The regulatory implications have also been discussed in detail in the Artificial Intelligence in Retail Market Research Report.
The segmentation of the market based on the various factors, including the regions, has also been part of the report. The significant players in the market and the strategies they have been implementing for the growth are also a part of the information. The recent advancements in Artificial Intelligence in Retail Business that the companies can use for the benefits in their work systems have also been included in the report.
Report Scope:
| Report Attribute/Metric | Details |
|---|---|
| Market Size | USD 7 Billion (2023) |
| CAGR | 34% (2020-2027) |
| Base Year | 2019 |
| Forecast Period | 2020-2027 |
| Historical Data | 2018 |
| Forecast Units | Value (USD Billion) |
| Report Coverage | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | Application, Technology |
| Geographies Covered | North America, Europe, Asia-Pacific, and Rest of the World (RoW) |
| Key Vendors | NVIDIA Corporation (U.S.), Intel Corporation (U.S.), Salesforce (U.S.), Sentient Technologies (U.S.), Microsoft Corporation (U.S.), Google Inc (U.S.), IBM Corporation (U.S.), Amazon Web Services (U.S.), Oracle corporation (U.S.), SAP SE (Germany) |
| Key Market Opportunities | The emergence of machine learning, deep learning, and Natural Language Processing (NLP) technology are expected to develop the AI-based solution for retail, creating opportunities for the growth of this market. |
| Key Market Drivers | the major factors that drive the growth of artificial intelligence market in retail is the advancement in big data, and adoption of artificial intelligence enabled devices and services across various different domains. |
Frequently Asked Questions (FAQ) :
Global artificial intelligence in retail market is projected to grow at approximately 34% CAGR during the assessment period (2020-2027).
The valuation of the global artificial intelligence in retail market is estimated to increase to USD 07 BN by the end of 2023.
Growing applications of AI solutions to meet the need for surveillance and monitoring in stores is a major tailwind pushing the growth of the artificial intelligence in the retail market.
North America holds the largest share in the global artificial intelligence in the retail market, followed by Europe and the Asia Pacific, respectively.
Intel Corporation (U.S.), NVIDIA Corporation (U.S.), Salesforce (U.S.), Microsoft Corporation (U.S.), Sentient Technologies (U.S.), Google Inc (U.S.), Amazon Web Services (U.S.), IBM Corporation (U.S.), Oracle corporation (U.S.), and SAP SE (Germany) are some of the top players operating in the global artificial intelligence in the retail market.
The industry experts have worked thoroughly to get the most recent and up-to-date information about the market. The report has an overview of the market, the Artificial Intelligence in Retail Market Analysis of the Artificial Intelligence in Retail.
TABLE OF CONTENTS
1 Executive Summary
2 Scope of the Report
2.1 Market Definition
2.2 Scope of the Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
4 Market Landscape
4.1 Porter’s Five Forces Analysis
4.1.1 Threat of New Entrants
4.1.2 Bargaining power of buyers
4.1.3 Threat of substitutes
4.1.4 Segment rivalry
4.2 Value Chain/Supply Chain of Global Artificial Intelligence in Retail Market
5 Application Overview of Global Artificial Intelligence in Retail Market
5.1 Introduction
5.2 Growth Drivers
5.3 Impact analysis
5.4 Market Challenges
6 Market Trends
6.1 Introduction
6.2 Growth Trends
6.3 Impact analysis
7. Global Artificial Intelligence in Retail Market by Component
7.1 Introduction
7.2 Solution
7.2.1 Market Estimates & Forecast, 2020-2027
7.2.2 Market Estimates & Forecast by Region, 2020-2027
7.3 Services
7.3.1 Market Estimates & Forecast, 2020-2027
7.3.2 Market Estimates & Forecast by Region, 2020-2027
8. Global Artificial Intelligence in Retail Market by Technology
8.1 Introduction
8.2 Neural Networks
8.2.1 Market Estimates & Forecast, 2020-2027
8.2.2 Market Estimates & Forecast by Region, 2020-2027
8.3 Natural Language Processing
8.3.1 Market Estimates & Forecast, 2020-2027
8.3.2 Market Estimates & Forecast by Region, 2020-2027
8.4 Deep learning
8.4.1 Market Estimates & Forecast, 2020-2027
8.4.2 Market Estimates & Forecast by Region, 2020-2027
8.5 Facial recognition
8.5.1 Market Estimates & Forecast, 2020-2027
8.5.2 Market Estimates & Forecast by Region, 2020-2027
8.6 Digital Voice Assistant
8.6.1 Market Estimates & Forecast, 2020-2027
8.6.2 Market Estimates & Forecast by Region, 2020-2027
9. Global Artificial Intelligence in Retail Market by Application
9.1 Introduction
9.2 Advertising
9.2.1 Market Estimates & Forecast, 2020-2027
9.2.2 Market Estimates & Forecast by Region, 2020-2027
9.3 Merchandizing
9.3.1 Market Estimates & Forecast, 2020-2027
9.3.2 Market Estimates & Forecast by Region, 2020-2027
9.4 Market Forecast
9.4.1 Market Estimates & Forecast, 2020-2027
9.4.2 Market Estimates & Forecast by Region, 2020-2027
9.5 Surveillance
9.5.1 Market Estimates & Forecast, 2020-2027
9.5.2 Market Estimates & Forecast by Region, 2020-2027
9.5.3 Market Estimates & Forecast by Region, 2020-2027
9.6 Analytics
9.6.1 Market Estimates & Forecast, 2020-2027
9.6.2 Market Estimates & Forecast by Region, 2020-2027
9.6.3 Market Estimates & Forecast by Region, 2020-2027
10. Global Artificial Intelligence in Retail Market by Deployment
10.1 Introduction
10.2 On Premise
10.2.1 Market Estimates & Forecast, 2020-2027
10.2.2 Market Estimates & Forecast by Region, 2020-2027
10.3 On Cloud
10.3.1 Market Estimates & Forecast, 2020-2027
10.3.2 Market Estimates & Forecast by Region, 2020-2027
11. Global Artificial Intelligence in Retail Market by Region
11.1 Introduction
11.2 North America
11.2.1 Market Estimates & Forecast, 2020-2027
11.2.2 Market Estimates & Forecast by Component, 2020-2027
11.2.3 Market Estimates & Forecast by Technology, 2020-2027
11.2.4 Market Estimates & Forecast by Application, 2020-2027
11.2.5 U.S.
11.2.5.1 Market Estimates & Forecast, 2020-2027
11.2.5.2 Market Estimates & Forecast by Component, 2020-2027
11.2.5.3 Market Estimates & Forecast by Technology, 2020-2027
11.2.5.4 Market Estimates & Forecast by Application, 2020-2027
11.2.6 Mexico
11.2.6.1 Market Estimates & Forecast, 2020-2027
11.2.6.2 Market Estimates & Forecast by Component, 2020-2027
11.2.6.3 Market Estimates & Forecast by Technology, 2020-2027
11.2.6.4 Market Estimates & Forecast by Application, 2020-2027
11.2.7 Canada
11.2.7.1 Market Estimates & Forecast, 2020-2027
11.2.7.2 Market Estimates & Forecast by Component, 2020-2027
11.2.7.3 Market Estimates & Forecast by Technology, 2020-2027
11.2.7.4 Market Estimates & Forecast by Application, 2020-2027
11.3 Europe
11.3.1 Market Estimates & Forecast, 2020-2027
11.3.2 Market Estimates & Forecast by Component, 2020-2027
11.3.3 Market Estimates & Forecast by Technology, 2020-2027
11.3.4 Market Estimates & Forecast by Application, 2020-2027
11.3.5 Germany
11.3.5.1 Market Estimates & Forecast, 2020-2027
11.3.5.2 Market Estimates & Forecast by Component, 2020-2027
11.3.5.3 Market Estimates & Forecast by Technology, 2020-2027
11.3.5.4 Market Estimates & Forecast by Application, 2020-2027
11.3.6. France
11.3.6.1 Market Estimates & Forecast, 2020-2027
11.3.6.2 Market Estimates & Forecast by Component, 2020-2027
11.3.6.3 Market Estimates & Forecast by Technology, 2020-2027
11.3.6.4 Market Estimates & Forecast by Application, 2020-2027
11.3.7 U.K
11.3.7.1 Market Estimates & Forecast, 2020-2027
11.3.7.2 Market Estimates & Forecast by Component, 2020-2027
11.3.7.3 Market Estimates & Forecast by Technology, 2020-2027
11.3.7.4 Market Estimates & Forecast by Application, 2020-2027
11.4 Asia Pacific
11.4.1 Market Estimates & Forecast, 2020-2027
11.4.2 Market Estimates & Forecast by Component, 2020-2027
11.4.3 Market Estimates & Forecast by Technology, 2020-2027
11.4.4 Market Estimates & Forecast by Application, 2020-2027
11.4.5 China
11.4.5.1 Market Estimates & Forecast, 2020-2027
11.4.5.2 Market Estimates & Forecast by Component, 2020-2027
11.4.5.3 Market Estimates & Forecast by Technology, 2020-2027
11.4.5.4 Market Estimates & Forecast by Application, 2020-2027
11.4.6 India
11.4.6.1 Market Estimates & Forecast, 2020-2027
11.4.6.2 Market Estimates & Forecast by Component, 2020-2027
11.4.6.3 Market Estimates & Forecast by Technology, 2020-2027
11.4.6.3 Market Estimates & Forecast by Application, 2020-2027
11.4.7 Japan
11.4.7.1 Market Estimates & Forecast, 2020-2027
11.4.7.2 Market Estimates & Forecast by Component, 2020-2027
11.4.7.3 Market Estimates & Forecast by Technology, 2020-2027
11.4.7.4 Market Estimates & Forecast by Application, 2020-2027
11.4.8 Rest of Asia Pacific
11.4.8.1 Market Estimates & Forecast, 2020-2027
11.4.8.2 Market Estimates & Forecast by Component, 2020-2027
11.4.8.3 Market Estimates & Forecast by Technology, 2020-2027
11.4.8.4 Market Estimates & Forecast by Application, 2020-2027
11.5 Rest of the World
11.5.1 Market Estimates & Forecast, 2020-2027
11.5.2 Market Estimates & Forecast by Component, 2020-2027
11.5.3 Market Estimates & Forecast by Technology, 2020-2027
11.5.4 Market Estimates & Forecast by Application, 2020-2027
11.5.5 The Middle East & Africa
11.5.5.1 Market Estimates & Forecast, 2020-2027
11.5.5.2 Market Estimates & Forecast by Component, 2020-2027
11.5.5.3 Market Estimates & Forecast by Technology, 2020-2027
11.5.5.4 Market Estimates & Forecast by Application, 2020-2027
11.5.6 Latin Countries
11.5.6.1 Market Estimates & Forecast, 2020-2027
11.5.6.2 Market Estimates & Forecast by Component, 2020-2027
11.5.6.3 Market Estimates & Forecast by Technology, 2020-2027
11.5.6.4 Market Estimates & Forecast by Application, 2020-2027
12. Company Landscape
13. Company Profiles
13.1 Salesforce (U.S.)
13.1.1 Company Overview
13.1.2 Product/Business Segment Overview
13.1.3 Financial Updates
13.1.4 Key Developments
13.2 Microsoft Corporation (U.S.)
13.2.1 Company Overview
13.2.2 Product/Business Segment Overview
13.2.3 Financial Updates
13.2.4 Key Developments
13.3 Google Inc. (U.S.)
13.3.1 Company Overview
13.3.2 Product/Business Segment Overview
13.3.3 Financial Updates
13.3.4 Key Developments
13.4 IBM Corporation (U.S.)
13.4.1 Company Overview
13.4.2 Product/Business Segment Overview
13.4.3 Financial Updates
13.4.4 Key Developments
13.5 SAP SE (Germany)
13.5.1 Company Overview
13.5.2 Product/Business Segment Overview
13.5.3 Financial Updates
13.5.4 Key Developments
13.6 Oracle Corporation (U.S.)
13.6.1 Company Overview
13.6.2 Product/Business Segment Overview
13.6.3 Financial Updates
13.6.4 Key Developments
13.7 Amazon Web Services (U.S.)
13.7.1 Company Overview
13.7.2 Product/Business Segment Overview
13.7.3 Financial Updates
13.7.4 Key Developments
13.8 Sentient Technologies (U.S.)
13.8.1 Company Overview
13.8.2 Product/Business Segment Overview
13.8.3 Financial Updates
13.8.4 Key Developments
13.9 NVIDIA Corporation (U.S.)
13.9.1 Company Overview
13.9.2 Product/Business Segment Overview
13.9.3 Financial Updates
13.9.4 Key Developments
13.10 Intel Corporation (U.S.)
13.10.1 Company Overview
13.10.2 Product/Business Segment Overview
13.10.3 Financial Updates
13.10.4 Key Developments
14 Conclusion
LIST OF TABLES
Table1 World Population by Major Regions (2020 To 2030)
Table2 Global Artificial Intelligence In Retail Market: By Region, 2020-2027
Table3 North America Artificial Intelligence In Retail Market: By Country, 2020-2027
Table4 Europe Artificial Intelligence In Retail Market: By Country, 2020-2027
Table5 Asia-Pacific Artificial Intelligence In Retail Market: By Country, 2020-2027
Table6 Middle East & Africa Artificial Intelligence In Retail Market: By Country, 2020-2027
Table7 Latin America Artificial Intelligence In Retail Market: By Country, 2020-2027
Table8 Global Artificial Intelligence In Retail by Component Market: By Regions, 2020-2027
Table9 North America Artificial Intelligence In Retail by Component Market: By Country, 2020-2027
Table10 Europe Artificial Intelligence In Retail by Component Market: By Country, 2020-2027
Table11 Asia-Pacific Artificial Intelligence In Retail by Component Market: By Country, 2020-2027
Table12 Middle East & Africa Artificial Intelligence In Retail by Component Market: By Country, 2020-2027
Table13 Latin America Artificial Intelligence In Retail by Component Market: By Country, 2020-2027
Table14 Global Artificial Intelligence In Retail by Application Market: By Regions, 2020-2027
Table15 North America Artificial Intelligence In Retail by Application Market: By Country, 2020-2027
Table16 Europe Artificial Intelligence In Retail by Application Market: By Country, 2020-2027
Table17 Asia-Pacific Artificial Intelligence In Retail by Application Market: By Country, 2020-2027
Table18 Middle East & Africa Artificial Intelligence In Retail by Application Market: By Country, 2020-2027
Table19 Latin America Artificial Intelligence In Retail by Application Market: By Country, 2020-2027
Table20 North America Artificial Intelligence In Retail for Application Market: By Country, 2020-2027
Table21 Europe Artificial Intelligence In Retail for Application Market: By Country, 2020-2027
Table22 Asia-Pacific Artificial Intelligence In Retail for Application Market: By Country, 2020-2027
Table23 Middle East & Africa Artificial Intelligence In Retail for Application Market: By Country, 2020-2027
Table24 Global Component Market: By Region, 2020-2027
Table25 Global Application Market: By Region, 2020-2027
Table26 Global Application Market: By Region, 2020-2027
Table27 North America Artificial Intelligence In Retail Market, By Country
Table28 North America Artificial Intelligence In Retail Market, By Component
Table29 North America Artificial Intelligence In Retail Market, By Technology
Table30 Europe: Artificial Intelligence In Retail Market, By Technology
Table31 Europe: Artificial Intelligence In Retail Market, By Component
Table32 Asia-Pacific: Artificial Intelligence In Retail Market, By Country
Table33 Asia-Pacific: Artificial Intelligence In Retail Market, By Component
Table34 Asia-Pacific: Artificial Intelligence In Retail Market, By Technology
Table35 Middle East & Africa: Artificial Intelligence In Retail Market, By Country
Table36 Middle East & Africa Artificial Intelligence In Retail Market, By Component
Table37 Middle East & Africa Artificial Intelligence In Retail Market, By Technology
Table38 Latin America: Artificial Intelligence In Retail Market, By Country
Table39 Latin America Artificial Intelligence In Retail Market, By Component
Table40 Latin America Artificial Intelligence In Retail Market, By Technology
Table41 Latin America: Artificial Intelligence In Retail Market, By Application
LIST OF FIGURES
FIGURE 1 Global Artificial Intelligence In Retail market segmentation
FIGURE 2 Forecast Methodology
FIGURE 3 Five Forces Analysis of Global Artificial Intelligence In Retail Market
FIGURE 4 Value Chain of Global Artificial Intelligence In Retail Market
FIGURE 5 Share of Global Artificial Intelligence In Retail Market in 2020, by country (in %)
FIGURE 6 Global Artificial Intelligence In Retail Market, 2020-2027,
FIGURE 7 Sub segments of Component
FIGURE 8 Global Artificial Intelligence In Retail Market size by Component, 2020
FIGURE 9 Share of Global Artificial Intelligence In Retail Market by Component, 2020 TO 2027
FIGURE 10 Global Artificial Intelligence In Retail Market size by Technology, 2020
FIGURE 11 Share of Global Artificial Intelligence In Retail Market by Technology, 2020 TO 2027
FIGURE 12 Global Artificial Intelligence In Retail Market size by Application, 2020
FIGURE 13 Share of Global Artificial Intelligence In Retail Market by Application, 2020 TO 2027