Artificial Intelligence in Retail Market Dynamics 2021-2031
[Research Report] The Artificial Intelligence in Retail Market size is expected to grow from US$ 6.59 billion in 2022 to US$ 52.45 billion by 2031; it is estimated to grow at a CAGR of 29.6% from 2022 to 2031.
Analyst Perspective:
The retail industry is changing as a result of artificial intelligence (AI). Retailers may use artificial intelligence (AI) to engage with their customers and run their businesses more effectively, from utilizing computer vision to modify promotions in real time to utilizing machine learning for inventory management. Profit and productivity must be given top priority in retail enterprises if they want to compete in the current global market. To secure success and maintain an edge over rivals, rapid and effective action is required. Artificial intelligence (AI) can enhance retail operations by boosting revenue and streamlining administrative procedures. AI paves the way for companies to adopt "smart" staffing and replenishment choices that save labor and supply costs, assist avoid out-of-stock situations, and boost sales. Retail positions will change as a result of AI, improving corporate efficiency. Retail firms are more interested in learning how artificial intelligence is changing the sector as technology develops.
For instance, according to a 2023 report by National Retail Federation, recently, Levi Strauss & Co. declared that it would use models created by customized AI. Puma and American Eagle both claimed to be employing AI for inventory tracking and customized consumer styling, respectively. To offer more different body shapes, Levi's intends to use AI to assist with its models. The business informed NRF that it will explore with a "limited, regulated" project on Levi.com later this year using AI-generated models in order to "learn more and see if we can improve the entire consumer experience. Also, the federation states that, about 60-70% of the retailers are unaware about where the things are located in their supply chain, they are unable to follow items as they move between stores. even the most technologically proficient organizations still have a ton of enormous, enormous challenges. This signifies the potential in the application of artificial intelligence in retail market.
Artificial Intelligence in Retail Market Overview:
The retail sector is constantly changing in response to consumer demand and technological advancements. Artificial intelligence assists retailers in improving their operations in a number of ways, including demand forecasting and recommendations, as the retail industry transitions from brick-and-mortar to e-commerce to omnichannel. The major example across the retail industry where AI is used extensively are demand forecasting, recommendations, cashier less technology, inventory management, and customer sentiment analysis, among others. Retailers are increasingly looking to AI to get an edge through cost control and understanding how customers interact with their products. Demand forecasting is one of the most often used uses of AI in the retail industry. To manage the supply chain, optimize inventory levels, and prevent markdowns, retailers must first understand which customers want particular products and where they want them. For instance, Nike spent US$ 110 million for an AI startup named Celect in 2021 to help it better analyze consumer demand in real-time and position necessary supplies.
Brands now have the ability to make every purchasing transaction relevant and enjoyable through customization. In reality, in today's retail environment, individualized shopping experiences are crucial to customer engagement, retention, and loyalty. As AI provides frictionless experiences that leave customers satisfied that they have made the right buy, repeatedly, personalization is also tied to greater conversion rates and product sales. For instance, according to Salesforce 2016 report, In the event that a business does not personalize its communications with them, 52% of customers are likely to transfer brands. Customers that are connected today anticipate faster retail updates. In fact, 69% of consumers say they anticipate finding new products whether they shop in-person or online. Every time a customer visits an online business, artificial intelligence can analyze their browsing history to automatically offer them with fresh product options. This prevents consumers from growing weary of viewing the same products and aids in igniting impulse purchases, especially on mobile devices.
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Artificial Intelligence in Retail Market: Strategic Insights
Market Size Value in US$ 6.59 billion in 2022 Market Size Value by US$ 52.45 billion by 2030 Growth rate CAGR of 29.6% from 2022 to 2030 Forecast Period 2022-2030 Base Year 2022
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Artificial Intelligence in Retail Market: Strategic Insights
| Market Size Value in | US$ 6.59 billion in 2022 |
| Market Size Value by | US$ 52.45 billion by 2030 |
| Growth rate | CAGR of 29.6% from 2022 to 2030 |
| Forecast Period | 2022-2030 |
| Base Year | 2022 |
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Artificial Intelligence in Retail Market Driver:
Increasing Preference Towards Personalized Shopping to Drive Growth of Artificial Intelligence in Retail Market
Consumers profit from AI. Chatbots can assist shoppers in swiftly navigating the store and receiving tailored product recommendations. Retailers now have new and creative methods to interact with customers, streamline operations, and boost sales thanks to the growing prevalence of AI technology in the sector. To estimate demand and manage inventory levels, algorithms might examine elements including past sales data, weather patterns, and social media trends. As a whole, this study can assist merchants in cutting waste, avoiding stock problems, and boosting their profits. Retailers may send targeted and customized marketing messages by using AI to evaluate client data, such as purchase history and browsing habits. This not only makes marketing communications more pertinent, but it can also enhance the whole client experience. One of the most important uses of artificial intelligence in retail market for consumers is its capacity for tailored marketing. In the retail sector, personalization has emerged as a critical success factor. For instance, Retailers are being assisted in overcoming this difficulty and staying on the cutting edge by Stylitics, a top provider of AI-powered digital merchandising and styling solutions. The Stylitics platform uses consumer data and machine learning algorithms to give highly customized suggestions to customers. In more than 50 billion shopping sessions each year, its system makes outfit and bundle recommendations, and by 2022, it will have increased consumer income by more than US$ 4 billion and sold an additional 200 million products.
Artificial Intelligence in Retail Market Segmental Analysis:
Based on application, the Artificial Intelligence in Retail Market is segmented into predictive analysis, in-store visual monitoring & surveillance, customer relationship management, market forecasting, inventory management, and others. The inventory management hold the major market share in the market and is also growing with the highest growth rate. Artificial intelligence can automate inventory tracking and management process, this assists the retailer to maintain optimal stock. This is primarily driving the growth of the segment. AI tools are also capable of analyzing every internal and external factor that affects how successfully inventory is planned, stocked, and delivered. The end result is a decrease in inventory management errors, which helps a business cut expenses and improve customer satisfaction. Due to their ability to evaluate data and anticipate demand trends, robots are also more effective from an operational aspect. They also offer more efficiency in terms of time spent on each action and remove the chance of human error. Robots driven by AI demand lower operational costs than human labor from a financial perspective. Unlike human employees who demand monthly salary and benefits, these machines just need a one-time acquisition charge and routine maintenance fees. For instance, according to a MIT Technological Review article in 2021, Knapp has deployed about 2,000 AI-powered robots for storage operations. Also in 2023, Walmart has launched its second Market Fulfillment Center (MFC), which is run on a custom storage and retrieval system utilizing Alphabot, which employs autonomous carts to fetch items purchased for online grocery delivery.
Artificial Intelligence in Retail Market Regional Analysis:
In the North America region, the US is investing heavily in the developing artificial intelligence in retail technology for business applications across various sector. The region is home to major retail businesses in the world including Walmart and Amazon. These top retail businesses are on the front line in adoption of innovative artificial intelligence in retail technology in order to make their business seamless. For instance, in November 2022, Sparrow, Amazon's newest intelligent robotic device, has been unveiled. According to Amazon, Sparrow speeds up the fulfillment process by moving individual products before they are wrapped. According to Amazon, Sparrow is the first robot in its warehouses that can recognize, pick, and handle specific items from its inventory. Sparrow, according to the manufacturer, is a significant improvement in industrial robotics' cutting-edge technology, utilizing computer vision and artificial intelligence (AI) to recognize and manage millions of products.
Artificial Intelligence in Retail Market Report Scope
Artificial Intelligence in Retail Market Key Player Analysis:
The Artificial Intelligence in Retail Market analysis consists of the players such as DataRobot, Inc.; IBM; OpenAI; Microsoft; Amazon; Google; Dataiku; Salesforce; Baidu; SAP are among the key Artificial Intelligence in Retail Market players profiled in the report.
Artificial Intelligence in Retail Market Recent Developments:
Inorganic and organic strategies such as mergers and acquisitions are highly adopted by companies in the Artificial Intelligence in Retail Market. A few recent key market developments are listed below:
- In September 2023, Amazon has introduced generative artificial intelligence in retail market to assist vendors in creating product descriptions. Amazon sellers will find it easier to write more detailed and interesting product descriptions, names, and listing features thanks to a new set of generative AI capabilities. With the addition of these new features, vendors will be able to list new products more quickly and easily and enhance their current listings, giving buyers more assurance when making purchases.
- In June 2023, Carrefour is implementing three cutting-edge technological solutions based on ChatGPT technology: a shopping assistant robot for carrefour.fr, product description sheets for Carrefour brand products on its website, and assistance for purchasing processes. The technology behind OpenAI, in particular GPT-4, constitute the foundation of these solutions.
- In June 2023, Microsoft has unveiled new Bing and Edge shopping capabilities powered by artificial intelligence (AI) that will enable customers to shop and save money "with confidence." Utilizing the power of AI, the new features assist users in finding information, conducting research, and completing purchases all in one convenient location.
- In Jan 2023, in order to give customers a more seamless online shopping experience and help merchants manage their in-store inventories, Google Cloud is releasing four new and upgraded AI capabilities.
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Offering, Function, Type, and Application
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Table of Contents
1 Table of Contents 2
1.1 List of Tables 9
1.2 List of Figures 10
2 Introduction 14
2.1 Scope of the Study 14
2.2 The Insight Partners Research Report Guidance 14
3 Key Takeaways 16
4 Artificial Intelligence in Retail Market Landscape 18
4.1 Market Overview 18
4.2 Market Segmentation 19
4.2.1 Global Artificial Intelligence in Retail Market - By Retail Format 21
4.2.2 Global Artificial Intelligence in Retail Market - By Technology 21
4.2.3 Global Artificial Intelligence in Retail Market - By Application 21
4.2.4 Global Artificial Intelligence in Retail Market - By Geography 21
4.3 PEST Analysis 23
4.3.1 North America PEST Analysis 23
4.3.2 Europe PEST Analysis 26
4.3.3 Asia Pacific PEST Analysis 29
4.3.4 Middle East & Africa PEST Analysis 31
4.3.5 South America PEST Analysis 34
5 Global Artificial Intelligence in Retail Market - Key Industry Dynamics 36
5.1 Key Market Drivers 36
5.1.1 Startups are at the forefront, driving the adoption of AI in retail industry 36
5.1.2 Rapid adoption of game-changing technologies across the retail - value chain 37
5.1.3 Tremendous growth in mobile market is expected to encourage the widespread adoption of AI in retail 37
5.2 Key Market Restraints 38
5.2.1 Lack of in-house knowledge and cultural readiness hold back AI adoption 38
5.2.2 High cost and difficulty of implementing new technologies 38
5.3 Key Market Opporunities 39
5.3.1 Rising investments in speech analytics technology 39
5.4 Future Trends 39
5.4.1 Artificial intelligence to bridge the gap between online and offline retailing 39
5.4.2 Artificial intelligence enabled virtual mirrors to be major traction in fashion retail industry 40
5.5 Impact Analysis of Drivers and Restraints 41
6 Artificial Intelligence in Retail Market - Global 42
6.1 Global Artificial Intelligence Market Overview 42
6.2 Global Artificial Intelligence in Retail Market Forecast and Analysis 42
7 Global Artificial Intelligence in Retail Market Analysis - By Retail Format 44
7.1 Overview 44
7.2 E-commerce 45
7.2.1 Overview 45
7.2.2 Global Ecommerce Market Revenue and Forecasts to 2025 (US$ Mn) 45
7.3 Brick ‘n’ Mortar 47
7.3.1 Overview 47
7.3.2 Global Brick ‘n’ Mortar Market Revenue and Forecasts to 2025 (US$ Mn) 47
8 Global Artificial Intelligence in Retail Market Analysis - By Technology 49
8.1 Overview 49
8.2 Chatbots 50
8.2.1 Overview 50
8.2.2 Global Chatbots Market Revenue and Forecasts to 2025 (US$ Mn) 50
8.3 Recommendation Engines 52
8.3.1 Overview 52
8.3.2 Global Recommendation Engine Market Revenue and Forecasts to 2025 (US$ Mn) 52
8.4 Audio Visual Analytics 53
8.4.1 Overview 53
8.4.2 Global Audio Video Analytics Market Revenue and Forecasts to 2025 (US$ Mn) 54
8.5 Others 55
8.5.1 Overview 55
8.5.2 Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 55
9 Global Artificial Intelligence in Retail Market Analysis - By Application 56
9.1 Overview 56
9.2 Sales & Marketing 57
9.2.1 Overview 57
9.2.2 Global Sales & Marketing Market Revenue and Forecasts to 2025 (US$ Mn) 57
9.3 Supply Chain & logistics 58
9.3.1 Overview 58
9.3.2 Global Supply Chain & Logistics Market Revenue and Forecasts to 2025 (US$ Mn) 59
9.4 Customer Experience & Management 60
9.4.1 Overview 60
9.4.2 Global Customer Experience & Management Market Revenue and Forecasts to 2025 (US$ Mn) 60
9.5 Shelf Analytics 61
9.5.1 Overview 61
9.5.2 Global Shelf Analytics Market Revenue and Forecasts to 2025 (US$ Mn) 61
9.6 Pricing 62
9.6.1 Overview 62
9.6.2 Global Pricing Market Revenue and Forecasts to 2025 (US$ Mn) 63
9.7 In-Store Navigation 63
9.7.1 Overview 64
9.7.2 Global In-Store Navigation Market Revenue and Forecasts to 2025 (US$ Mn) 64
9.8 Auto-checkouts 64
9.8.1 Overview 65
9.8.2 Global Auto Checkout Market Revenue and Forecasts to 2025 (US$ Mn) 65
9.9 Others 66
9.9.1 Overview 66
9.9.2 Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 66
10 Global Artificial Intelligence in Retail Market - Geographical Analysis 67
10.1 Overview 67
10.2 North America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 68
10.2.1 Overview 68
10.2.2 North America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 68
10.2.3 North America Artificial Intelligence in Retail Market Breakdown by Key Countries 69
10.2.3.1 US Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 70
10.2.3.2 Canada Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 71
10.2.3.3 Mexico Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 72
10.2.4 North America Artificial Intelligence in Retail Market Breakdown by Retail Format 73
10.2.5 North America Artificial Intelligence in Retail Market Breakdown by Technology 74
10.2.6 North America Artificial Intelligence in Retail Market Breakdown by Application 75
10.3 Europe Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 77
10.3.1 Overview 77
10.3.2 Europe Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 77
10.3.3 Europe Artificial Intelligence in Retail Market Breakdown by Key Countries 78
10.3.3.1 France Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 79
10.3.3.2 Germany Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 80
10.3.3.3 Italy Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 81
10.3.3.4 Spain Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 82
10.3.3.5 UK Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 83
10.3.4 Europe Artificial Intelligence in Retail Market Breakdown by Retail Format 84
10.3.5 Europe Artificial Intelligence in Retail Market Breakdown by Technology 85
10.3.6 Europe Artificial Intelligence in Retail Market Breakdown by Application 86
10.4 Asia Pacific (APAC) Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 88
10.4.1 Overview 88
10.4.2 Asia Pacific Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 89
10.4.3 Asia Pacific Artificial Intelligence in Retail Market Breakdown by Countries 90
10.4.3.1 China Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 90
10.4.3.2 India Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 91
10.4.3.3 Japan Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 92
10.4.3.4 Australia Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 93
10.4.4 Asia Pacific Artificial Intelligence in Retail Market Breakdown by Retail Format 94
10.4.5 Asia Pacific Artificial Intelligence in Retail Market Breakdown by Technology 95
10.4.6 Asia Pacific Artificial Intelligence in Retail Market Breakdown by Application 96
10.5 Middle East & Africa (MEA) Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 98
10.5.1 Overview 98
10.5.2 Middle East & Africa Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 98
10.5.3 Middle East & Africa Artificial Intelligence in Retail Market Breakdown by Key Countries 99
10.5.3.1 Saudi Arabia Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 100
10.5.3.2 UAE Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 101
10.5.3.3 South Africa Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 102
10.5.4 Middle East & Africa Artificial Intelligence in Retail Market Breakdown by Retail Format 103
10.5.5 Middle East & Africa Artificial Intelligence in Retail Market Breakdown by Technology 104
10.5.6 Middle East & Africa Artificial Intelligence in Retail Market Breakdown by Application 105
10.6 South America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 107
10.6.1 Overview 107
10.6.2 South America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 107
10.6.3 South America Artificial Intelligence in Retail Market Breakdown by Key Countries 108
10.6.3.1 Brazil Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 109
10.6.4 South America Artificial Intelligence in Retail Market Breakdown by Retail Format 110
10.6.5 South America Artificial Intelligence in Retail Market Breakdown by Technology 111
10.6.6 South America Artificial Intelligence in Retail Market Breakdown by Application 112
11 Industry Landscape 114
11.1 Market Initative 114
11.2 Merger and Acquisition 115
12 Competitive Landscape 117
12.1 Competitive Product Mapping 117
12.2 Market Positioning - Global Top 5 Players Ranking 118
13 Global Artificial Intelligence in Retail Market - Key Company Profiles 119
13.1 Sentient Technologies Holdings Limited 119
13.1.1 Key Facts 119
13.1.2 Business Description 119
13.1.3 Financial Overview 120
13.1.4 SWOT Analysis 120
13.1.5 Key Developments 122
13.2 Manthan Software Services Pvt. Ltd. 123
13.2.1 Key Facts 123
13.2.2 Business Description 123
13.2.3 Financial Overview 123
13.2.4 SWOT Analysis 124
13.2.5 Key Developments 126
13.3 Focal Systems Inc. 127
13.3.1 Key Facts 127
13.3.2 Business Description 127
13.3.3 Financial Overview 128
13.3.4 SWOT Analysis 128
13.3.5 Key Developments 129
13.4 Microsoft Corporation 131
13.4.1 Key Facts 131
13.4.2 Business Description 131
13.4.3 Financial Overview 132
13.4.4 SWOT Analysis 133
13.4.5 Key Developments 135
13.5 ViSenze 136
13.5.1 Key Facts 136
13.5.2 Business Description 136
13.5.3 Financial Overview 137
13.5.4 SWOT Analysis 137
13.5.5 Key Developments 139
13.6 Tata Consultancy Services Limited 140
13.6.1 Key Facts 140
13.6.2 Business Description 140
13.6.3 Financial Overview 141
13.6.4 SWOT Analysis 142
13.6.5 Key Developments 144
13.7 Salesforce.com, Inc. 145
13.7.1 Key Facts 145
13.7.2 Business Description 145
13.7.3 Financial Overview 146
13.7.4 SWOT Analysis 147
13.7.5 Key Developments 149
13.8 Plexure Ltd. 150
13.8.1 Key Facts 150
13.8.2 Business Description 150
13.8.3 Financial Overview 151
13.8.4 SWOT Analysis 152
13.8.5 Key Developments 153
13.9 Google,Inc. 154
13.9.1 Key Facts 154
13.9.2 Business Description 154
13.9.3 Financial Overview 155
13.9.4 SWOT Analysis 156
13.9.5 Key Developments 158
13.10 IBM Watson Group 159
13.10.1 Key Facts 159
13.10.2 Business Description 159
13.10.3 Financial Overview 160
13.10.4 SWOT Analysis 160
13.10.5 Key Developments 163
14 Appendix 164
14.1 About The Insight Partners 164
14.2 Glossary of Terms 165
14.3 Methodology 167
14.3.1 Coverage 167
14.3.2 Secondary Research 167
14.3.3 Primary Research 168
14.4 Contact Us 169
14.5 Disclaimer 169
List of Tables
Table 1: Global Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 43
Table 2: North America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Retail Format (US$ Mn) 73
Table 3: North America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Technology (US$ Mn) 74
Table 4: North America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Application (US$ Mn) 75
Table 5: Europe Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Retail Format (US$ Mn) 84
Table 6: Europe Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Technology (US$ Mn) 85
Table 7: Europe Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Application (US$ Mn) 86
Table 8: Asia Pacific Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Retail Format (US$ Mn) 94
Table 9: Asia Pacific Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Technology (US$ Mn) 95
Table 10: Asia Pacific Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Application (US$ Mn) 96
Table 11: Middle East and Africa Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Retail Format (US$ Mn) 103
Table 12: Middle East and Africa Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Technology (US$ Mn) 104
Table 13: Middle East and Africa Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Application (US$ Mn) 105
Table 14: South America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Retail Format (US$ Mn) 110
Table 15: South America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Technology (US$ Mn) 111
Table 16: South America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 - By Application (US$ Mn) 112
Table 17: Glossary of Terms, Artificial Intelligence in Retail Market 165
List of Figures
Figure 1: Global Artificial Intelligence in Retail Market, 2016 & 2025 16
Figure 2: Artificial Intelligence in Retail Market Segmentation 19
Figure 3: Artificial Intelligence in Retail Market Segmentation 20
Figure 4: North America PEST Analysis 23
Figure 5: Europe PEST Analysis 26
Figure 6: APAC PEST Analysis 29
Figure 7: MEA PEST Analysis 31
Figure 8: SAM PEST Analysis 34
Figure 9: Global Artificial Intelligence Start-Ups in Retail 36
Figure 10: Adoption of IoT in retail 37
Figure 11: Global Smart Phone Subscription Growth 38
Figure 12: Artificial Intelligence in Retail Market Impact Analysis of Driver and Restraints 41
Figure 13: Global Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 43
Figure 14: Global Artificial Intelligence in Retail Market Breakdown By Retail Format, 2016 & 2025 (%) 44
Figure 15: Ecommerce Market Revenue and Forecasts to 2025 (US$ Mn) 46
Figure 16: Brick ‘n’ Mortar Market Revenue and Forecasts to 2025 (US$ Mn) 48
Figure 17: Global Artificial Intelligence in Retail Market Breakdown By Technology, 2016 & 2025 (%) 49
Figure 18: Global Chatbots Market Revenue and Forecasts to 2025 (US$ Mn) 51
Figure 19: Global Recommendation Engine Market Revenue and Forecasts to 2025 (US$ Mn) 53
Figure 20: Global Audio Video Analytics Market Revenue and Forecasts to 2025 (US$ Mn) 55
Figure 21: Global Funds Market Revenue and Forecasts to 2025 (US$ Mn) 56
Figure 22: Global Artificial Intelligence in Retail Market Breakdown By Application, 2016 & 2025 (%) 57
Figure 23: Global Sales & Marketing Market Revenue and Forecasts to 2025 (US$ Mn) 59
Figure 24: Global Supply Chain & Logistics Market Revenue and Forecasts to 2025 (US$ Mn) 60
Figure 25: Global Customer Experience & Management Market Revenue and Forecasts to 2025 (US$ Mn) 62
Figure 26: Global Shelf Analytics Market Revenue and Forecasts to 2025 (US$ Mn) 63
Figure 27: Global Pricing Market Revenue and Forecasts to 2025 (US$ Mn) 64
Figure 28: Global In-Store Navigation Market Revenue and Forecasts to 2025 (US$ Mn) 65
Figure 29: Global Auto Checkout Market Revenue and Forecasts to 2025 (US$ Mn) 67
Figure 30: Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 68
Figure 31: Artificial Intelligence in Retail Market, Global Breakdown by Regions, 2016 & 2025 (%) 69
Figure 32: North America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 70
Figure 33: North America Artificial Intelligence in Retail Market Breakdown by Key Countries, 2016 & 2025 (%) 71
Figure 34: US Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 72
Figure 35: Canada Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 73
Figure 36: Mexico Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 74
Figure 37: North America Artificial Intelligence in Retail Market Breakdown by Function, 2016 & 2025 (%) 75
Figure 38: North America Artificial Intelligence in Retail Market Breakdown by Technology, 2016 & 2025 (%) 76
Figure 39: North America Artificial Intelligence in Retail Market Breakdown by Application, 2016 & 2025 (%) 77
Figure 40: Europe Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 80
Figure 41: Europe Artificial Intelligence in Retail Market Breakdown by Key Countries, 2016 & 2025 (%) 81
Figure 42: France Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 81
Figure 43: Germany Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 82
Figure 44: Italy Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 83
Figure 45: Spain Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 84
Figure 46: UK Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 85
Figure 47: Europe Artificial Intelligence in Retail Market Breakdown by Retail Format, 2016 & 2025 (%) 86
Figure 48: Europe Artificial Intelligence in Retail Market Breakdown by Technology, 2016 & 2025 (%) 87
Figure 49: Europe Artificial Intelligence in Retail Market Breakdown by Application, 2016 & 2025 (%) 88
Figure 50: Asia Pacific Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 91
Figure 51: Asia Pacific Artificial Intelligence in Retail Market Breakdown by Key Countries, 2016 & 2025 (%) 92
Figure 52: China Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 92
Figure 53: India Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 93
Figure 54: Japan Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 94
Figure 55: Australia Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 95
Figure 56: Asia Pacific Artificial Intelligence in Retail Market Breakdown by Function, 2016 & 2025 (%) 96
Figure 57: Asia Pacific Artificial Intelligence in Retail Market Breakdown by Technology, 2016 & 2025 (%) 97
Figure 58: Asia Pacific Artificial Intelligence in Retail Market Breakdown by Application, 2016 & 2025 (%) 98
Figure 59: Middle East & Africa Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 100
Figure 60: Middle East & Africa Artificial Intelligence in Retail Market Breakdown by Key Countries, 2016 & 2025 (%) 101
Figure 61: Saudi Arabia Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 102
Figure 62: UAE Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 103
Figure 63: South Africa Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 104
Figure 64: Middle East & Africa Artificial Intelligence in Retail Market Breakdown by Retail Format, 2016 & 2025 (%) 105
Figure 65: Middle East & Africa Artificial Intelligence in Retail Market Breakdown by Technology, 2016 & 2025 (%) 106
Figure 66: Middle East & Africa Artificial Intelligence in Retail Market Breakdown by Application, 2016 & 2025 (%) 107
Figure 67: South America Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 109
Figure 68: South America Artificial Intelligence in Retail Market Breakdown by Key Countries, 2016 & 2025 (%) 110
Figure 69: Brazil Artificial Intelligence in Retail Market Revenue and Forecasts to 2025 (US$ Mn) 111
Figure 70: South America Artificial Intelligence in Retail Market Breakdown by Retail Format, 2016 & 2025 (%) 112
Figure 71: South America Artificial Intelligence in Retail Market Breakdown by Technology, 2016 & 2025 (%) 113
Figure 72: South America Artificial Intelligence in Retail Market Breakdown by Application, 2016 & 2025 (%) 114
Figure 73: Artificial Intelligence in Retail Market Competitive Product Mapping 119
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.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients 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 organizations 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 the 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/Sales 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.
- 3.1 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.
- 3.2 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.
- 3.3 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.
- 3.4 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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