Applied AI in Retail & E-commerce Market Overview
Applied AI in Retail & E-commerce Market Size was valued at USD 22.1 billion in 2022. The Applied AI in Retail & E-commerce Market is projected to grow from USD 34.2 billion in 2023 to USD 325.5 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 30.86% during the forecast period (2023 - 2032). Growing demand due to capability of Applied AI offering tailored product recommendations, pricing, and content, enhancing customer satisfaction & conversion rates and ability of Applied AI of demand forecasting, inventory management, and logistics optimization leading to cost savings, reduced stockouts, and improved order fulfillment. These are just few of the market drivers that are driving the market.
FIGURE 1: APPLIED AI IN RETAIL & E-COMMERCE MARKET SIZE, 2019-2032 (USD BILLION)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Applied AI in Retail & E-commerce Market Drivers
Growing demand due to capability of Applied AI offering tailored product recommendations, pricing, and content, enhancing customer satisfaction & conversion rates is propelling the market growth
The growing demand for Applied AI-driven tailored product recommendations, pricing, and content in the retail and e-commerce market is a significant driver for the adoption of Applied AI. AI algorithms analyze a customer's past behavior, preferences, and purchase history to recommend products that are highly relevant to them. This level of personalization creates a more satisfying shopping experience. Tailored recommendations and pricing make customers feel valued and understood, which can lead to increased loyalty and repeat purchases. AI recommendations ensure that customers see products that match their interests and needs, reducing the time and effort required to find suitable items. This convenience contributes to higher customer satisfaction. This can result in fewer returns and exchanges, leading to greater customer satisfaction. Personalized content and recommendations typically lead to higher CTRs in marketing campaigns. Retail Industry AI Applications are helping retailers create more personalized shopping experiences, optimize operations, reduce costs, and stay competitive in the evolving retail landscape. This growing recognition of the impact of AI-driven personalization is a driving force behind the expanding adoption of Applied AI in the retail and e-commerce market and the market CAGR.
The ability of Applied AI to excel in demand forecasting, inventory management, and logistics optimization plays a pivotal role in driving the adoption of Applied AI in the retail and e-commerce market. AI utilizes historical sales data, market trends, seasonality, and other relevant factors to generate highly accurate demand forecasts. This precision enables retailers to align their inventory levels with actual customer demand. AI-driven systems can monitor inventory levels in real-time and trigger automatic replenishment orders when stock reaches predefined thresholds. With improved demand forecasting, inventory management, and logistics optimization, retailers and e-commerce companies can lower their overall operating costs, including reduced labor costs and transportation expenses. Due to this, the ability to achieve cost savings, reduce stockouts, and enhance order fulfillment efficiency is a compelling driver for the adoption of Applied AI in the retail and e-commerce market. E-commerce AI enhancements are continuously evolving, driven by advancements in AI technology and the increasing demand for personalized and efficient online shopping experiences. Thus, it is anticipated that this aspect will accelerate the Applied AI in Retail & E-commerce Market revenue globally.
Applied AI in Retail & E-commerce Market Segment Insights
Applied AI in Retail & E-commerce Market- Technology Insights
The Applied AI in Retail & E-commerce Market segmentation, based on Technology, includes Machine Learning, Natural Language Processing (NLP), Computer Vision, Speech Recognition, and Predictive Analytics. The Machine Learning segment held the majority share in 2022 in the Applied AI in Retail & E-commerce Market data and is projected to be the fast-growing segment in the forecast period. Machine learning is a critical segment within the field of Applied AI in the retail and e-commerce market. It plays a central role in driving personalization, optimizing operations, and enhancing decision-making processes. Machine learning algorithms analyze customer data, such as browsing history, purchase behavior, and preferences, to provide personalized product recommendations. These recommendations increase the likelihood of customers finding and purchasing products that align with their interests.
Applied AI in Retail & E-commerce Market- Application Insights
The Applied AI in Retail & E-commerce Market segmentation, based on Application, includes Customer Service & Support, Sales & Marketing, Supply Chain Management, Price Optimization, Payment Processing, and Product Search & Discovery. The Customer Service & Support segment dominated the market growth in 2022 and is projected to be the faster-growing segment during the forecast period, 2023-2032. The Customer Service & Support segment is a crucial area of Applied AI in the retail and e-commerce market, as it enables businesses to provide efficient, personalized, and 24/7 customer assistance. AI-powered chatbots and virtual assistants handle routine customer inquiries, such as order tracking, product information, and return requests, freeing up human agents to focus on more complex issues. AI can route customer queries to the most appropriate human agents or departments, ensuring that customers receive prompt and accurate responses.
FIGURE 2: APPLIED AI IN RETAIL & E-COMMERCE MARKET, BY APPLICATION, 2022 & 2032 (USD BILLION)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Applied AI in Retail & E-commerce Market – Deployment Mode Insights
The Applied AI in Retail & E-commerce Market segmentation, based on Deployment Mode, includes on-premise, and cloud based. The on-premise segment held the majority share in 2022 in the Applied AI in Retail & E-commerce Market data and is projected to be the fast-growing segment in the forecast period. The On-Premise segment in the Applied AI in Retail & E-commerce Market refers to the deployment mode where AI solutions and systems are hosted and operated within the physical infrastructure of the retailer or e-commerce company, rather than being hosted on cloud-based servers or third-party data centers. In this deployment model, AI applications, servers, storage, and other necessary hardware and software components are located within the retailer's or e-commerce company's own data centers or facilities.
Applied AI in Retail & E-commerce Market – End User Insights
The Applied AI in Retail & E-commerce Market segmentation, based on End User, includes Retailers, E-commerce Platforms, Consumer Goods Manufacturers, Logistics & Supply Chain Companies, and Others. The Retailers segment held the majority share in 2022 in the Applied AI in Retail & E-commerce Market data and is projected to be the fast-growing segment in the forecast period. Retailers use Applied AI to analyze customer data and behavior, enabling personalized product recommendations and content to improve the AI-powered shopping experience. AI optimizes supply chain operations, reducing costs and enhancing the efficiency of inventory movement and logistics. Retailers analyze customer behavior through AI to gain insights into shopping patterns, preferences, and trends.
Applied AI in Retail & E-commerce Market- Regional Insights
By region, the study provides the market insights into North America, Europe, Asia-Pacific, Middle East & Africa, and South America. North America Applied AI in Retail & E-commerce Market accounted for USD 7.65 billion in 2022 with a share of around 34.61% and is expected to exhibit a significant CAGR growth during the study period. The growth of Applied AI in the Retail & E-commerce Market in North America is driven by several key factors that reflect the region's strong technology infrastructure, consumer demand for personalized experiences, and the competitive nature of the retail industry. North America, particularly the United States, boasts a mature and robust technology ecosystem with a concentration of AI research, development, and innovation centers. This fosters a conducive environment for the growth of Applied AI applications in retail and e-commerce. Consumers in the region value convenience and expect seamless shopping experiences, which Applied AI can deliver through features like chatbots, virtual assistants, and smooth checkout processes.
Further, the major countries studied in the market report are: The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: APPLIED AI IN RETAIL & E-COMMERCE MARKET SHARE BY REGION, 2022 & 2032 (USD BILLION)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe Applied AI in Retail & E-commerce Market accounts for the second-largest market share. The e-commerce sector in Europe has experienced significant growth, and it continues to expand rapidly. This growth has incentivized retailers and e-commerce platforms to invest in Applied AI technologies to stay competitive and improve operational efficiency. Moreover, Germany Applied AI in Retail & E-commerce Market held the largest market share, and the UK Applied AI in Retail & E-commerce Market was the fastest growing market in the European region.
Asia-Pacific Applied AI in Retail & E-commerce Market accounts for the third-largest market share and is projected to continue increasing due to rapid digital transformation. Asia-Pacific is experiencing rapid digital transformation, with more consumers and businesses going online. Retailers and e-commerce platforms are leveraging Applied AI to enhance their digital offerings and customer experiences. Further, the China Applied AI in Retail & E-commerce Market held the largest market share, and the India Applied AI in Retail & E-commerce Market was the fastest growing market in the region.
The Middle East & Africa Applied AI in Retail & E-commerce Market is rapidly growing due to increasing cross border trade. Cross-border e-commerce is growing in Middle East & Africa, and Applied AI helps retailers manage international operations, currency conversions, and localization to cater to a diverse customer base. The region's e-commerce market is competitive, with both local and international players. AI is used to gain a competitive edge through improved customer experiences, personalized recommendations, and efficient supply chain management.
Also, The South America Applied AI in Retail & E-commerce Market is growing due to increase in Tech-Savvy Consumers. South America has a growing population of tech-savvy consumers who are increasingly comfortable with digital technologies. AI-driven features such as personalized recommendations and mobile commerce are well-received by this demographic.
Applied AI in Retail & E-commerce Key Market Players & Competitive Insights
Major market players are spending a lot of money on R&D to increase their product lines, which will help the Applied AI in Retail & E-commerce Market grow even more. Market participants are also taking a range of strategic initiatives to grow their worldwide footprint, with key market developments such as new product launches, mergers and acquisitions, contractual agreements, increased investments, and collaboration with other organizations. Competitors in the Applied AI in Retail & E-commerce industry must offer cost-effective items to expand and survive in an increasingly competitive and rising market environment.
One of the primary business strategies adopted by manufacturers in the global Applied AI in Retail & E-commerce industry to benefit clients and expand the market sector is to manufacture locally to reduce operating costs. In recent years, Applied AI in Retail & E-commerce industry has provided Technology segment with some of the most significant benefits. The Applied AI in Retail & E-commerce Market major player such as Quantifind, OpenAI, Accenture, DataRobot, SAS, IBM, Microsoft, Adobe, NVIDIA, Intel, Google, Amazon, and other market players.
Brain Corp, San Diego, is a technology-based company specializing in the development of intelligent, autonomous navigation systems for everyday machines. In March 2023, Brain Corp has rolled out its autonomous floor scrubber ‘Auto-C’ that cleans the aisle of a Walmart’s store and captures in real-time, images of every single item in the store.
Key Companies in the Applied AI in Retail & E-commerce Market include
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Quantifind
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OpenAI
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Accenture
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DataRobot
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SAS
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IBM
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Microsoft
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Adobe
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NVIDIA
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Intel
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Google
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Amazon
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Others
Applied AI in Retail & E-commerce Industry Developments
August 2023:The Singapore MIT-Alliance for Research and Technology (SMART), a research enterprise in Singapore, has launched a new interdisciplinary research group working on rise of artificial intelligence and other new technologies.Â
September 2023:Zomato, a leading online meal delivery service, has introduced ‘Zomato AI’, an interactive chatbot to make food ordering process more convenient & personalized.
Applied AI in Retail & E-commerce Market Segmentation
Applied AI in Retail & E-commerce Technology Outlook (USD Billion, 2019-2032)
Applied AI in Retail & E-commerce Application Outlook (USD Billion, 2019-2032)
Applied AI in Retail & E-commerce Deployment Mode Outlook (USD Billion, 2019-2032)
Applied AI in Retail & E-commerce End-User Outlook (USD Billion, 2019-2032)
Applied AI in Retail & E-commerce Regional Outlook (USD Billion, 2019-2032)
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North America
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Europe
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Germany
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France
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UK
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Italy
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Spain
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Rest of Europe
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Asia-Pacific
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Australia
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South Korea
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Rest of Asia-Pacific
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Middle East & Africa
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South America
| Report Attribute/Metric |
Details |
| Market Size 2022 |
USD 22.1 billion |
| Market Size 2023 |
USD 34.2 billion |
| Market Size 2032 |
USD 325.5 billion |
| Compound Annual Growth Rate (CAGR) |
30.86% (2023-2032) |
| Base Year |
2022 |
| Market Forecast Period |
2023-2032 |
| Historical Data |
2019 - 2021 |
| Market Forecast Units |
Value (USD Billion) |
| Report Coverage |
Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
| Segments Covered |
Technology, Application, Deployment Mode, End-User, and Region |
| Geographies Covered |
North America, Europe, Asia-Pacific Pacific, Middle East & Africa, and South America |
| Countries Covered |
The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil |
| Key Companies Profiled |
Quantifind, OpenAI, Accenture, DataRobot, SAS, IBM, Microsoft, Adobe, NVIDIA, Intel, Google, Amazon, and other market players. |
| Key Market Opportunities |
AI can facilitate international expansion by automating translation, currency conversion, and localization efforts for e-commerce businesses |
| Key Market Dynamics |
Growing demand due to capability of Applied AI offering tailored product recommendations, pricing, and content, enhancing customer satisfaction & conversion rates Ability of Applied AI of demand forecasting, inventory management, and logistics optimization leading to cost savings, reduced stockouts, and improved order fulfillment |
Applied AI in Retail & E-commerce Market Highlights:
Frequently Asked Questions (FAQ) :
The Applied AI in Retail & E-commerce Market size was valued at USD 22.1 billion in 2022.
The global market is projected to grow at a CAGR of 30.86% during the forecast period, 2023-2032.
North America had the largest share in the Applied AI in Retail & E-commerce Market.
The key players in the market are Quantifind, OpenAI, Accenture, DataRobot, SAS, IBM, Microsoft, Adobe, NVIDIA, Intel, Google, Amazon, and other market players.
Machine Learning dominated the market in 2022.
The Customer Service & Support application had the largest share in the global market.
