Artificial Intelligence (AI) in Retail Market
Artificial Intelligence (AI) in Retail Market by Solutions and Services for Machine Learning, Natural Language Processing, and Others from 2023 to 2033
Analysis of Artificial Intelligence (AI) in Retail Market Covering 30+ Countries Including Analysis of US, Canada, UK, Germany, France, Nordics, GCC countries, Japan, Korea and many more
Artificial Intelligence (AI) in Retail Market Outlook (2023 to 2033)
The global artificial intelligence (AI) in retail market is predicted to advance at a stupendous CAGR of 30.3% and reach a valuation of US$ 85 billion by 2033, up from US$ 6 billion in 2023.
The concept of digital transformation has permeated nearly every industry. However, if there is one industry that has undergone substantial transformation due to the continual expansion of technology, it is the retail sector.
Artificial intelligence in retail allows for faster business decisions based on findings from cognitive technologies while also saving time and money by automating and streamlining routine procedures and operations. Large corporations are seeking ways to strengthen their position and are integrating AI to enhance standards, customer experience, revenue, and processing speed.
The outbreak of COVID-19 had a significant influence on the retail industry globally. The pandemic and lockdown regulations substantially altered purchase patterns, product demand, consumer behavior, and in-store operations.
- According to Tata Communication research, American spending dropped by 7.5% in March 2020.
As a result of this significant drop, retailers began employing artificial intelligence technology to boost their customer experiences and online sales. Artificial intelligence is assisting retailers in realigning supply networks, recognizing demand, understanding new market trends, and more.
- Zara's parent company, Inditex, switched to automation to handle order management and purchasing during the outbreak.
Artificial intelligence and big data analytics are critical to digital business; they have the ability to change everything from operational processes to the customer experience. Due to the increasing penetration of smart devices and applications, the proliferation of IoT, the acceptance of cloud services, and technological breakthroughs, the basic understanding and acceptance of AI and big data analytics in retail have increased.
Moreover, demand for AI-enabled visual and voice search is boosting the market growth. E-commerce websites and virtual shops are fast expanding. Consumers can now look for new products using innovative approaches such as product photos, videos, and voice. Artificial intelligence in visual search improves its functionality by analyzing inquiries and mining metadata. The visual search engine employs artificial intelligence elements to evaluate, follow, and predict rising buying patterns, hence improving shopper engagement and experience.
- According to the Syte Visual Conception Ltd. 2020 research, nearly 80% of shoppers began their shopping experience with a visual search.
As a result, retailers must employ AI-based search engines to improve customer experience and increase revenue growth. Furthermore, AI-powered searching abilities assist retailers in gaining vital insights into customer patterns and making sound business decisions. AI-powered search engines are projected to provide a vast data pool as well as possible growth prospects to retailers in the coming years.
As per Fact.MR, a market research and competitive intelligence provider, such factors are expected to spur the global demand for artificial intelligence to be used in the retail industry over the coming years.
Report Attributes |
Details |
|
AI in Retail Market Size in 2023 |
US$ 6 Billion |
|
Projected Market Value (2033) |
US$ 85 Billion |
|
Global Market Growth Rate (2023 to 2033) |
30.3% CAGR |
|
North America Market Share (2022) |
38.5% |
|
Machine learning Segment Market Share (2022) |
30% |
|
Key Companies Profiled |
|
Why is AI Becoming More Important in the Retail Industry?
“Chatbots Driven by AI Help Improve Customer Experience”
Artificial intelligence-driven chatbot assistance is rapidly gaining acceptance in the retail industry due to its highly effective customer service. To improve the customer experience, the chatbot provides dedicated and personalized responses.
- As per Accenture research, 90% of customers were more interested in purchasing from brands that provided personalized suggestions and services in 2019.
Machine learning and natural language processing (NLP) technologies are used to power the AI chatbots. These technologies provide real-time information on customer preferences and assist the chatbot in understanding the consumers' sentiments and behavioral patterns, which aids in answering customer queries and creating relationships.
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Which Factor Poses a Major Challenge to AI in Retail?
“Dearth of Technical Skills and Infrastructure”
Prominent retail brands are constantly investing in innovative technologies to improve customer interaction; nevertheless, certain constraints are likely to impede the adoption of artificial intelligence technology in the retail market.
Major firms and global retailers like Walmart have already adopted artificial intelligence technology for in-store operations and online portal management. However, due to a dearth of technical skills and infrastructure, small and medium-sized organizations encounter difficulties adopting the technology. Moreover, the high installation cost of the intelligent retail solution is also a significant hurdle for small merchants, limiting implementation.
Country-wise Insights
Why is the United States the Dominant Power in North American Market?
“Increasing Investments in AI Technology”
- North America accounted for 38.5% of the AI in retail industry in 2022.
North America is the leading provider of AI solutions and an early adopter of AI technologies. Numerous retailers in this region have implemented AI-based solutions to improve inventory management and supply chain operations. AI is assisting retailers in managing and retaining customers and comprehending consumer purchasing trends. AI technologies are being used by both online and offline retail businesses to engage customers and increase total revenue.
The United States is a dominant market in North America due to increasing investments in AI technology. The country's leading market players are striving to develop AI-enabled digital platforms for a variety of end-user industries.
- According to a report by the National Venture Capital Association in April 2020, 285 AI-based businesses in the United States raised US$ 6.9 billion in the first half of 2020.
How is the United Kingdom Supporting European Market Growth?
“Growing R&D Activities and Heavy Investments”
The European market is developing at a tremendous pace. The region's current big retailers in the fashion, apparel, and cosmetics sectors, among others, are increasingly investing in innovative technologies to improve customer experience.
- The European technology industry saw more than 25% increase in the artificial intelligence area in the first half of 2020 itself.
The United Kingdom is a major market in Europe due to a thriving ecosystem of investors, clients, and experienced professionals. Moreover, growing research and development activities and increasing commercial investments by leading players in the country are driving market expansion. Germany is following the United Kingdom in terms of growth.
Which Aspect is Boosting Market Growth in Japan and South Korea?
“Thriving e-Commerce Industry in These Countries”
The market in Asia Pacific is benefitting from a significant expansion in all areas, including economic growth, internet infrastructure, spending capability, and consumer goods demand. Moreover, strong government initiatives, the booming e-Commerce industry in countries like Japan and South Korea, and increasing investments in AI technology for enhanced efficiency and real-time inventory management are all contributing to the regional market expansion.
Furthermore, factors such as rising internet and communication infrastructure, increased retailer acceptance of AI-based solutions and services, and growing digitization are all aiding regional market growth.
Japan and South Korea are witnessing considerable growth owing to the expanding e-Commerce and retail industries. To strengthen their portfolios, leading organizations in these countries are emphasizing collaborations.
- Fujitsu struck a partnership deal with Zippin, a provider of AI-based checkout-free technology for shops, in December 2020. The company intends to expand collaboration and offer AI-powered checkout-free solutions in Japan.
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Category-wise Insights
Why is Machine Learning Gaining Attention in This Space?
“Ability of ML to Improve Supply Chain Systems and Demand Projections”
- Machine learning held 30% share of the global market in 2021.
Machine learning technology learns quickly and thoroughly from data and is well suited to providing personalized experiences to its customers. The technology assists retailers in improving supply chain systems and demand projections to increase inventory efficiency.
- Amazon Inc.'s Amazon SageMaker is a fully organized service that uses machine learning methods for applications ranging from predictive analytics to the consumer experience.
Moreover, natural language processing (NLP) is expected to grow rapidly over the projected period. An increase in data analysis and the move toward AI-driven chatbots will boost developments in NLP. Furthermore, NLP can aid in sentiment analysis to evaluate customer messages, call center interactions, online reviews, and social media posts.
How is AI Improving Customer Relationship Management?
“Better Understanding of Customers through Artificial Intelligence”
Several advancements in customer relationship management (CRM) software, such as voice and face recognition, have occurred.
- Zoho CRMs, Zia and Salesforce Einstein, are AI-powered CRMs that employ voice commands to access information.
Existing customers account for 65% of the company's revenue, and it costs five times more to acquire a new customer than to keep an existing, pleased one. As a result, CRM is critical. The incorporation of AI tools in CRM will allow companies to better comprehend their customers by analyzing more data. AI technology can assist in automating most operations and ultimately giving more pertinent information to sales personnel
Competitive Landscape
Key providers of artificial intelligence for retail are constantly investing in innovative solutions. Furthermore, key players are using partnership, merger, and acquisition tactics to increase market share. Moreover, many start-ups are focusing on new developments to provide novel AI-driven solutions.
- Niflr, an Indian start-up, is creating an automated platform for cashier-less checkout in retail businesses. The start-up's software tracks customers and detects their interactions with shop merchandise using computer vision and AI. For example, when a customer selects an item off a shelf, the platform immediately scans and adds that information to the store bill. Customers save time by not having to line at checkout points, which improves in-store experiences.
- Tiliter, an Australian start-up, is creating AI-powered product recognition software for retail grocery stores. The system integrates with existing POS systems and store cameras to allow accurate recognition of organic product marks. It also allows customers to check whether perishable items such as vegetables, fruits, and sandwiches are still fresh. Tiliter's simple integration and capabilities, such as shopping bag identification and fraud prevention, enable shops to enhance their customers' experiences.
- Microsoft partnered with Infosys in September 2022. Under this partnership, the organizations hoped to enable enterprises to swiftly reinvent customer experiences, boost systems with cloud and data, and modernize processes.
Know thy Competitors
Competitive landscape highlights only certain players
Complete list available upon request
Key Segments of AI in Retail Industry Research
-
By Offering :
- Solutions
- Services
-
By Type :
- Offline
- Online
-
By Technology :
- Machine Learning
- Natural Language Processing
- Computer Vision
- Other Technologies
-
By Deployment :
- Cloud
- On-premise
-
By Application :
- Customer Relationship Management (CRM)
- Supply Chain and Logistics
- Inventory Management
- Product Optimizations
- In-Store Navigation
- Payment and Pricing Analytics
- Virtual Assistants
-
By Region :
- North America
- Latin America
- Europe
- Asia Pacific & China
- Middle East & Africa
Table of Content
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand Side Trends 1.3. Supply Side Trends 1.4. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Key Market Trends 3.1. Key Trends Impacting the Market 3.2. Product Innovation / Development Trends 4. Market Background 4.1. Macro-Economic Factors 4.1.1. Rise in Expenditure 4.1.2. Increased Per Capita Expenditure 4.2. Forecast Factors - Relevance & Impact 4.2.1. Product in Pipeline 4.2.2. Regulatory Scenario 4.2.3. Mergers and Acquisitions 4.2.4. Collaborative Agreements 4.2.5. Value Chain 4.3. Market Dynamics 4.3.1. Drivers 4.3.2. Restraints 4.3.3. Opportunity Analysis 4.4. COVID19 Crisis Analysis 4.4.1. Current COVID19 Statistics and Probable Future Impact 4.4.2. Current GDP Projection and Probable Impact 4.4.3. Current Economic Projection as Compared to 2008 Economic analysis 4.4.4. COVID19 and Impact Analysis 4.4.4.1. Revenue By Offering 4.4.4.2. Revenue By Technology 4.4.4.3. Revenue By Type 4.4.4.4. Revenue By Deployment 4.4.4.5. Revenue By Application 4.4.4.6. Revenue By Country 4.4.5. 2020 Market Scenario 4.4.6. Quarter by Quarter Forecast 4.4.7. Projected Recovery Quarter 4.4.8. Recovery Scenario – Short term, Midterm and Long Term Impact 5. Market Context 5.1. Adoption and Usage Analysis 5.2. Market Evolution 5.3. Product Vs Technology Matrix 5.4. Regulatory Scenario 5.5. Parent Market Analysis 5.6. Key Promotional Strategies by Market Players 6. Global Market - Pricing Analysis 6.1. Regional Pricing Analysis By Offering 6.2. Pricing Break-up 6.2.1. Manufacturer Level Pricing 6.2.2. Distributor Level Pricing 6.3. Global Average Pricing Analysis Benchmark 7. Global Market Value Analysis 2018 to 2022 and Forecast, 2023 to 2033 7.1. Historical Market Value (US$ Mn) Analysis, 2018 to 2022 7.2. Current and Future Market Value (US$ Mn) Projections, 2023 to 2033 7.2.1. Y-o-Y Growth Trend Analysis 7.2.2. Absolute $ Opportunity Analysis 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Offering 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Mn) Analysis By Offering, 2018 to 2022 8.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Offering, 2023 to 2033 8.3.1. Solutions 8.3.2. Services 8.4. Market Attractiveness Analysis By Offering 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Type 9.1. Introduction / Key Findings Type, 2018 to 2022 9.2. Current and Future Market Size (US$ Mn) Analysis and Forecast By Type, 2023 to 2033 9.2.1. Offline 9.2.2. Online 9.3. Market Attractiveness Analysis By Type 10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Technology 10.1. Introduction / Key Findings Technology Deployment, 2018 to 2022 10.2. Current and Future Market Size (US$ Mn) Analysis and Forecast By Technology, 2023 to 2033 10.2.1. Machine Learning 10.2.2. Natural Language Processing 10.2.3. Computer Vision 10.2.4. Other Technologies 10.3. Market Attractiveness Analysis By Technology 11. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Deployment 11.1. Introduction / Key Findings Deployment, 2018 to 2022 11.2. Current and Future Market Size (US$ Mn) Analysis and Forecast By Deployment, 2023 to 2033 11.2.1. Cloud 11.2.2. On-premise 11.3. Market Attractiveness Analysis By Deployment 12. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Application 12.1. Introduction / Key Findings 12.2. Historical Market Size (US$ Mn) Analysis By Application, 2018 to 2022 12.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Application, 2023 to 2033 12.3.1. Customer Relationship Management (CRM) 12.3.2. Supply Chain and Logistics 12.3.3. Inventory Management 12.3.4. Product Optimizations 12.3.5. In-Store Navigation 12.3.6. Payment and Pricing Analytics 12.3.7. Virtual Assistants 12.4. Market Attractiveness Analysis By Application 13. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Region 13.1. Introduction 13.2. Historical Market Size (US$ Mn) Analysis By Region, 2018 to 2022 13.3. Current Market Size (US$ Mn) Analysis and Forecast By Region, 2023 to 2033 13.3.1. North America 13.3.2. Latin America 13.3.3. Europe 13.3.4. East Asia 13.3.5. South Asia 13.3.6. Oceania 13.3.7. Middle East and Africa (MEA) 13.4. Market Attractiveness Analysis By Region 14. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033 14.1. Introduction 14.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2018 to 2022 14.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2023 to 2033 14.3.1. By Country 14.3.1.1. United States 14.3.1.2. Canada 14.3.2. By Offering 14.3.3. By Type 14.3.4. By Technology 14.3.5. By Deployment 14.3.6. By Application 14.4. Market Attractiveness Analysis 14.5. Market Trends 14.6. Key Market Participants - Intensity Mapping 14.7. Drivers and Restraints - Impact Analysis 15. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033 15.1. Introduction 15.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2018 to 2022 15.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2023 to 2033 15.3.1. By Country 15.3.1.1. Germany 15.3.1.2. Italy 15.3.1.3. France 15.3.1.4. United Kingdom 15.3.1.5. Spain 15.3.1.6. Rest of Europe 15.3.2. By Offering 15.3.3. By Type 15.3.4. By Technology 15.3.5. By Deployment 15.3.6. By Application 15.4. Market Attractiveness Analysis 15.5. Market Trends 15.6. Key Market Participants - Intensity Mapping 15.7. Drivers and Restraints - Impact Analysis 16. Middle East and Market Analysis 2018 to 2022 and Forecast 2023 to 2033 16.1. Introduction 16.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2018 to 2022 16.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2023 to 2033 16.3.1. By Country 16.3.1.1. GCC Countries 16.3.1.2. South Africa 16.3.1.3. Rest of Middle East and Africa 16.3.2. By Offering 16.3.3. By Type 16.3.4. By Technology 16.3.5. By Deployment 16.3.6. By Application 16.4. Market Attractiveness Analysis 16.5. Market Trends 16.6. Key Market Participants - Intensity Mapping 16.7. Drivers and Restraints - Impact Analysis 17. Rest of the World Market Analysis 2018 to 2022 and Forecast 2023 to 2033 17.1. Introduction 17.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2018 to 2022 17.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2023 to 2033 17.3.1. By Offering 17.3.2. By Type 17.3.3. By Technology 17.3.4. By Deployment 17.3.5. By Application 17.4. Market Attractiveness Analysis 17.5. Market Trends 17.6. Key Market Participants - Intensity Mapping 17.7. Drivers and Restraints - Impact Analysis 18. Key and Emerging Countries Market Analysis 2018 to 2022 and Forecast 2023 to 2033 18.1. Introduction 18.1.1. Market Value Proportion Analysis, By Key Countries 18.1.2. Global Vs. Country Growth Comparison 18.2. United States Market Analysis 18.2.1. By Offering 18.2.2. By Type 18.2.3. By Technology 18.2.4. By Deployment 18.2.5. By Application 18.3. Canada Market Analysis 18.3.1. By Offering 18.3.2. By Type 18.3.3. By Technology 18.3.4. By Deployment 18.3.5. By Application 18.4. United Kingdom Market Analysis 18.4.1. By Offering 18.4.2. By Type 18.4.3. By Technology 18.4.4. By Deployment 18.4.5. By Application 18.5. Germany Market Analysis 18.5.1. By Offering 18.5.2. By Type 18.5.3. By Technology 18.5.4. By Deployment 18.5.5. By Application 18.6. France Market Analysis 18.6.1. By Offering 18.6.2. By Type 18.6.3. By Technology 18.6.4. By Deployment 18.6.5. By Application 18.7. Italy Market Analysis 18.7.1. By Offering 18.7.2. By Type 18.7.3. By Technology 18.7.4. By Deployment 18.7.5. By Application 18.8. Spain Market Analysis 18.8.1. By Offering 18.8.2. By Type 18.8.3. By Technology 18.8.4. By Deployment 18.8.5. By Application 18.8.6. By Application 18.9. GCC Countries Market Analysis 18.9.1. By Offering 18.9.2. By Type 18.9.3. By Technology 18.9.4. By Deployment 18.9.5. By Application 18.10. South Market Analysis 18.10.1. By Offering 18.10.2. By Type 18.10.3. By Technology 18.10.4. By Deployment 18.10.5. By Application 19. Market Structure Analysis 19.1. Market Analysis by Tier of Companies 19.2. Market Concentration 19.3. Market Share Analysis of Top Players 19.4. Market Presence Analysis 19.4.1. By Regional footprint of Players 19.4.2. Product foot print by Players 19.4.3. Channel Foot Print by Players 20. Competition Analysis 20.1. Competition Dashboard 20.2. Competition Benchmarking 20.3. Competition Deep Dive 20.3.1. Amazon Web Services 20.3.1.1. Overview 20.3.1.2. Product Portfolio 20.3.1.3. Analyst Commentary 20.3.1.4. Key Financials 20.3.1.5. Recent Developments 20.3.1.6. Sales Footprint 20.3.1.7. Strategy Overview 20.3.1.7.1. Marketing Strategy 20.3.1.7.2. Product Strategy 20.3.1.7.3. Channel Strategy 20.3.2. Salesforce.Com, Inc 20.3.2.1. Overview 20.3.2.2. Product Portfolio 20.3.2.3. Analyst Commentary 20.3.2.4. Key Financials 20.3.2.5. Recent Developments 20.3.2.6. Sales Footprint 20.3.2.7. Strategy Overview 20.3.2.7.1. Marketing Strategy 20.3.2.7.2. Product Strategy 20.3.2.7.3. Channel Strategy 20.3.3. Bloomreach, Inc 20.3.3.1. Overview 20.3.3.2. Product Portfolio 20.3.3.3. Analyst Commentary 20.3.3.4. Key Financials 20.3.3.5. Recent Developments 20.3.3.6. Sales Footprint 20.3.3.7. Strategy Overview 20.3.3.7.1. Marketing Strategy 20.3.3.7.2. Product Strategy 20.3.3.7.3. Channel Strategy 20.3.4. Google LLC 20.3.4.1. Overview 20.3.4.2. Product Portfolio 20.3.4.3. Analyst Commentary 20.3.4.4. Key Financials 20.3.4.5. Recent Developments 20.3.4.6. Sales Footprint 20.3.4.7. Strategy Overview 20.3.4.7.1. Marketing Strategy 20.3.4.7.2. Product Strategy 20.3.4.7.3. Channel Strategy 20.3.5. Intel Corporation 20.3.5.1. Overview 20.3.5.2. Product Portfolio 20.3.5.3. Analyst Commentary 20.3.5.4. Key Financials 20.3.5.5. Recent Developments 20.3.5.6. Sales Footprint 20.3.5.7. Strategy Overview 20.3.5.7.1. Marketing Strategy 20.3.5.7.2. Product Strategy 20.3.5.7.3. Channel Strategy 20.3.6. Microsoft Corporation 20.3.6.1. Overview 20.3.6.2. Product Portfolio 20.3.6.3. Analyst Commentary 20.3.6.4. Key Financials 20.3.6.5. Recent Developments 20.3.6.6. Sales Footprint 20.3.6.7. Strategy Overview 20.3.6.7.1. Marketing Strategy 20.3.6.7.2. Product Strategy 20.3.6.7.3. Channel Strategy 20.3.7. IBM Corporation 20.3.7.1. Overview 20.3.7.2. Product Portfolio 20.3.7.3. Analyst Commentary 20.3.7.4. Key Financials 20.3.7.5. Recent Developments 20.3.7.6. Sales Footprint 20.3.7.7. Strategy Overview 20.3.7.7.1. Marketing Strategy 20.3.7.7.2. Product Strategy 20.3.7.7.3. Channel Strategy 20.3.8. Oracle Corporation 20.3.8.1. Overview 20.3.8.2. Product Portfolio 20.3.8.3. Analyst Commentary 20.3.8.4. Key Financials 20.3.8.5. Recent Developments 20.3.8.6. Sales Footprint 20.3.8.7. Strategy Overview 20.3.8.7.1. Marketing Strategy 20.3.8.7.2. Product Strategy 20.3.8.7.3. Channel Strategy 21. Assumptions and Acronyms Used 22. Research Methodology
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List Of Table
Table 01: Global Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Offering
Table 02: Global Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type
Table 03: Global Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology
Table 04: Global Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
Table 05: Global Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
Table 06: Global Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Age Group
Table 07: Global Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
Table 08: North America Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
Table 09: North America Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Offering
Table 10: North America Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology
Table 11: North America Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type
Table 12: North America Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
Table 13: North America Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
Table 14: Europe Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
Table 15: Europe Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Offering
Table 16: Europe Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology
Table 17: Europe Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type
Table 18: Europe Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
Table 19: Europe Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
Table 20: Middle East and Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
Table 21: Middle East and Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Offering
Table 22: Middle East and Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology
Table 23: Middle East and Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type
Table 24: Middle East and Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
Table 25: Middle East and Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
Table 26: Rest of the World Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Offering
Table 27: Rest of the World Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology
Table 28: Rest of the World Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type
Table 29: Rest of the World Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
Table 30: Rest of the World Market Size (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
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List Of Figures
Figure 01: Global Market Value (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033
Figure 02: Global Market Absolute $ Opportunity, 2023 to 2033
Figure 03: Global Market Share Analysis (%), By Offering, 2023 & 2033
Figure 04: Global Market Y-o-Y Analysis (%), By Offering, 2023 to 2033
Figure 05: Global Market Attractiveness Analysis By Offering, 2023 to 2033
Figure 06: Global Market Share Analysis (%), By Type, 2023 & 2033
Figure 07: Global Market Y-o-Y Analysis (%), By Type, 2023 to 2033
Figure 08: Global Market Attractiveness Analysis By Type, 2023 to 2033
Figure 09: Global Market Share Analysis (%), By Technology, 2023 & 2033
Figure 10: Global Market Y-o-Y Analysis (%), By Technology, 2023 to 2033
Figure 11: Global Market Attractiveness Analysis By Technology, 2023 to 2033
Figure 12: Global Market Share Analysis (%), By Deployment, 2023 & 2033
Figure 13: Global Market Y-o-Y Analysis (%), By Deployment, 2023 to 2033
Figure 14: Global Market Attractiveness Analysis By Deployment, 2023 to 2033
Figure 15: Global Market Share Analysis (%), By Application, 2023 & 2033
Figure 16: Global Market Y-o-Y Analysis (%), By Application , 2023 to 2033
Figure 17: Global Market Attractiveness Analysis, By Application, 2023 to 2033
Figure 18: Global Market Share Analysis (%), By Deployment Age Group, 2023 & 2033
Figure 19: Global Market Y-o-Y Analysis (%), By Deployment Age Group, 2023 to 2033
Figure 20: Global Market Attractiveness Analysis By Deployment Age Group, 2023 to 2033
Figure 21: Global Market Share Analysis (%), By Region, 2023 & 2033
Figure 22: Global Market Y-o-Y Analysis (%), By Region, 2023 to 2033
Figure 23: Global Market Attractiveness Analysis, By Region, 2023 to 2033
Figure 24: North America Market Value Share, By Offering, 2023 (E)
Figure 25: North America Market Value Share, By Technologys 2023 (E)
Figure 26: North America Market Value Share, By Type, 2023 (E)
Figure 27: North America Market Value Share, By Deployment, 2023 (E)
Figure 28: North America Market Value Share, By Application, 2023 (E)
Figure 29: North America Market Value Share, By Country, 2023 (E)
Figure 30: North America Market Value (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033
Figure 31: North America Market Attractiveness Analysis By Offering, 2023 to 2033
Figure 32: North America Market Attractiveness Analysis By Technology, 2023 to 2033
Figure 33: North America Market Attractiveness Analysis By Type, 2023 to 2033
Figure 34: North America Market Attractiveness Analysis By Deployment, 2023 to 2033
Figure 35: North America Market Attractiveness Analysis By Application, 2023 to 2033
Figure 36: North America Market Attractiveness Analysis By Country, 2023 to 2033
Figure 37: Europe Market Value Share, By Offering, 2023 (E)
Figure 38: Europe Market Value Share, By Technologys 2023 (E)
Figure 39: Europe Market Value Share, By Type, 2023 (E)
Figure 40: Europe Market Value Share, By Deployment, 2023 (E)
Figure 41: Europe Market Value Share, By Application, 2023 (E)
Figure 42: Europe Market Value Share, By Country, 2023 (E)
Figure 43: Europe Market Value (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033
Figure 44: Europe Market Attractiveness Analysis By Offering, 2023 to 2033
Figure 45: Europe Market Attractiveness Analysis By Technology, 2023 to 2033
Figure 46: Europe Market Attractiveness Analysis By Type, 2023 to 2033
Figure 47: Europe Market Attractiveness Analysis By Deployment, 2023 to 2033
Figure 48: Europe Market Attractiveness Analysis By Type, 2023 to 2033
Figure 49: Europe Market Attractiveness Analysis By Country, 2023 to 2033
Figure 50: Middle East and Market Value Share, By Offering, 2023 (E)
Figure 51: Middle East and Market Value Share, By Technology, 2023 (E)
Figure 52: Middle East and Market Value Share, By Type, 2023 (E)
Figure 53: Middle East and Market Value Share, By Deployment, 2023 (E)
Figure 54: Middle East and Market Value Share, By Application, 2023 (E)
Figure 55: Middle East and Market Value Share, By Country, 2023 (E)
Figure 56: Middle East and Market Value (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033
Figure 57: Middle East and Market Attractiveness Analysis By Offering, 2023 to 2033
Figure 58: Middle East and Market Attractiveness Analysis By Technology, 2023 to 2033
Figure 59: Middle East and Market Attractiveness Analysis By Type, 2023 to 2033
Figure 60: Middle East and Market Attractiveness Analysis By Deployment, 2023 to 2033
Figure 61: Middle East and Market Attractiveness Analysis By Application, 2023 to 2033
Figure 62: Middle East and Market Attractiveness Analysis By Country, 2023 to 2033
Figure 63: Rest of the World Market Value Share, By Offering, 2023 (E)
Figure 64: Rest of the World Market Value Share, By Technologys 2023 (E)
Figure 65: Rest of the World Market Value Share, By Type, 2023 (E)
Figure 66: Rest of the World Market Value Share, By Deployment, 2023 (E)
Figure 67: Rest of the World Market Value Share, By Application, 2023 (E)
Figure 68: Rest of the World Market Value (US$ Mn) Analysis 2018 to 2022 and Forecast 2023 to 2033
Figure 69: Rest of the World Market Attractiveness Analysis By Offering, 2023 to 2033
Figure 70: Rest of the World Market Attractiveness Analysis By Technology, 2023 to 2033
Figure 71: Rest of the World Market Attractiveness Analysis By Type, 2023 to 2033
Figure 72: Rest of the World Market Attractiveness Analysis By Deployment, 2023 to 2033
Figure 73: Rest of the World Market Attractiveness Analysis By Application, 2023 to 2033
Figure 74: United States Market Value Share, By Offering, 2023 & 2033
Figure 75: United States Market Value Share, By Technology, 2023 & 2033
Figure 76: United States Market Value Share, By Type, 2020 &2030
Figure 77: United States Market Value Share, By Deployment Age Group, 2023 & 2033
Figure 78: United States Market Value Share, By Application, 2023 & 2033
Figure 79: United States Market Value Analysis (US$ Mn), 2023 & 2033
Figure 80: Canada Market Value Share, By Offering, 2023 & 2033
Figure 81: Canada Market Value Share, By Technology, 2023 & 2033
Figure 82: Canada Market Value Share, By Type, 2023 & 2033
Figure 83: Canada Market Value Share, By Deployment Age Group, 2023 & 2033
Figure 84: Canada Market Value Share, By Application, 2023 & 2033
Figure 85: Canada Market Value Analysis (US$ Mn), 2023 & 2033
Figure 86: United Kingdom Market Value Share, By Offering, 2023 & 2033
Figure 87: United Kingdom Market Value Share, By Technology, 2023 & 2033
Figure 88: United Kingdom Market Value Share, By Type, 2023 & 2033
Figure 89: United Kingdom Market Value Share, By Deployment Age Group, 2023 & 2033
Figure 90: United Kingdom Market Value Share, By Application, 2023 & 2033
Figure 91: United Kingdom Market Value Analysis (US$ Mn), 2023 & 2033
Figure 92: Germany Market Value Share, By Offering, 2023 & 2033
Figure 93: Germany Market Value Share, By Technology, 2023 & 2033
Figure 94: Germany Market Value Share, By Type, 2023 & 2033
Figure 95: Germany Market Value Share, By Deployment Age Group, 2023 & 2033
Figure 96: Germany Market Value Share, By Application, 2023 & 2033
Figure 97: Germany Market Value Analysis (US$ Mn), 2023 & 2033
Figure 98: France Market Value Share, By Offering, 2023 & 2033
Figure 99: France Market Value Share, By Technology, 2023 & 2033
Figure 100: France Market Value Share, By Type, 2023 & 2033
Figure 101: France. Market Value Share, By Deployment Age Group, 2023 & 2033
Figure 102: France Market Value Share, By Application, 2023 & 2033
Figure 103: France Market Value Analysis (US$ Mn), 2023 & 2033
Figure 104: Italy Market Value Share, By Offering, 2023 & 2033
Figure 105: Italy Market Value Share, By Technology, 2023 & 2033
Figure 106: Italy Market Value Share, By Type, 2023 & 2033
Figure 107: Italy Market Value Share, By Deployment Age Group, 2023 & 2033
Figure 108: Italy Market Value Share, By Application, 2023 & 2033
Figure 109: Italy Market Value Analysis (US$ Mn), 2023 & 2033
Figure 110: Spain Market Value Share, By Offering, 2023 & 2033
Figure 111: Spain Market Value Share, By Technology, 2023 & 2033
Figure 112: Spain Market Value Share, By Type, 2023 & 2033
Figure 113: Spain Market Value Share, By Deployment Age Group, 2023 & 2033
Figure 114: Spain Market Value Share, By Application, 2023 & 2033
Figure 115: Spain Market Value Analysis (US$ Mn), 2023 & 2033
Figure 116: GCC Countries. Market Value Share, By Offering, 2023 & 2033
Figure 117: GCC Countries Market Value Share, By Technology, 2023 & 2033
Figure 118: GCC Countries Market Value Share, By Type, 2023 & 2033
Figure 119: GCC Countries Market Value Share, By Deployment, 2023 & 2033
Figure 120: GCC Countries Market Value Share, By Application, 2023 & 2033
Figure 121: GCC Countries Market Value Analysis (US$ Mn), 2023 & 2033
Figure 122: South Market Value Share, By Offering, 2023 & 2033
Figure 123: South Market Value Share, By Technology, 2023 & 2033
Figure 124: South Market Value Share, By Type, 2023 & 2033
Figure 125: South Market Value Share, By Deployment Age Group, 2023 & 2033
Figure 126: South Africa Market Value Share, By Application, 2023 & 2033
Figure 127: South Africa Market Value Analysis (US$ Mn), 2023 & 2033
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- FAQs -
What is the value of the artificial intelligence (AI) in retail market in 2023?
The global artificial intelligence in retail market is valued at US$ 6 billion in 2023.
What is the estimated CAGR for the AI in retail market?
Global demand for AI technology in retail is predicted to surge at a CAGR of 30.3% from 2023 to 2033.
What is the value predicted for the artificial intelligence in retail market for 2033?
The market for artificial intelligence in retail is anticipated to hit US$ 85 billion by 2033.
What percentage of the global market did North America enjoy in 2022?
North America accounted for 38.5% share of the global market in 2022.
Who are the major providers of artificial intelligence for the retail market?
Amazon Web Services, Salesforce.Com, Inc, Bloomreach, Inc, Google LLC, Intel Corporation, Microsoft Corporation, IBM Corporation, and Oracle Corporation are major players operating in the global market.
Artificial Intelligence (AI) in Retail Market