Global Artificial Intelligence (AI) in Retail Market Will Reach USD 20.05 Billion by 2026: Facts & Factors
Facts and Factors have published a new research report titled “Artificial Intelligence in Retail Market By Type (Offline, and Online), By Technology (Natural Language Processing, Machine Learning and Deep Learning, and Others), By Solution (Customer Relationship Management, Payment Services management, Price Optimization, Product Recommendation, and Planning, Supply chain management and Demand Planning, Virtual Assistant, Visual Search, Others ) By Service (Managed Services, and Professional Services), By Deployment Model (On-Premises, and Cloud), and By Application (In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Market Forecasting, Predictive Merchandising, Programmatic Advertising, and Others): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026” in its research database
“According to Facts and Factors, the global Artificial Intelligence Retail Market was estimated at USD 2.7 Billion in 2019 and is expected to hit USD 20.05 Billion by the end of 2026, expanding at CAGR by 39% between 2020 and 2026.”
Global Artificial Intelligence in Retail Market: Overview
Digitalization in retail is much more than just linking objects. It’s about turning data into observations that guide decisions that produce better market results. Retail AI—including machine learning and deep learning—is crucial to developing these insights. This offers retailers incredible consumer interactions, revenue growth prospects, accelerated innovation, and insightful companies, all allowing them to separate themselves from their rivals. In some parts of its operations, several retailers are now using AI. They may automate marketing practices with AI in CRM applications, or predictive analytics to determine which consumers are likely to purchase those goods. The cloud helps AI workloads store and process data volumes from a wide range of sources. For eg, demand prediction and online product reviews are demands for retail cloud workloads.
But operating AI provides benefits in the store itself. The edge retail computing serves as a mechanism for insight, aggregation, or transformation into useful, operational knowledge of vast quantities of raw data. Imagine inventory robotics restoring shelves; digital signs adjusting to the audience; and customer monitoring sensors to alert cross-selling and upselling opportunities. The traction on brick and mortar is a special kind of AI in detail, known as computer vision. And it opens the way for new instances of market usage by consumer engagement, predicting demand, product control, and more.
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- Key segments, industry drivers, challenges & opportunities in the global & regional market
- Research methodology
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Industry Major Market Players
- Amazon Web Services Inc.
- BloomReach Inc.
- Conversica Inc.
- Daisy Intelligence
- Findmine Inc.
- Focal Systems Inc.
- Google LLC
- IBM Corporation
- Microsoft Corporation
- Plexure Ltd
- Salesforce.com Inc.
- SAP SE
- Sentient Technologies Holdings Limited
- Versium Analytics Inc.
- ViSenze Pte Ltd
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Key questions answered in this report:
- What is the projected size & share of Artificial Intelligence in the Retail Market?
- What are the key driving factors for the growth of Artificial Intelligence in the Retail Market?
- Who are the top market players in Artificial Intelligence in the Retail Market?
- How many segments are analyzed in Artificial Intelligence in the Retail Market?
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Global Artificial Intelligence in Retail Market: Growth Factors
Over the years the idea of virtual test rooms has become more common, allowing shoppers to play with their equipment through a tactile GUI. The combination of artificial intelligence and digital mirrors allows shoppers to test and wear diverse dresses, accessories, goggles, and other beauty items. The real-time simulation for computer dressing solutions is delivered in conjunction with other advanced technology, such as virtual realities, artificial intelligence, or visual computing. The technology strengthens both online and offline Shopping’s user engagement and loyalty. The need for a digital trial room is expected to increase because of its secure shopping experience since the global COVID-19 pandemic.
Each retail corporation tries to consolidate its loyal client base to remain on the market today in the retained sector. Providing each consumer with improved customized service is a prime tactic for leading brands. Chabot’s operated by AI is one of the innovations that can effectively promote consumer interaction. Popularity is also likely to increase in all markets for both online and in-store catboats. The framework lets retailers handle consumer shopping requests with AI-configured chatbots without including humans. Al-Driven Chatbots’ fast, customized and on-demand support and feedback add to the consumer experience while favoring the retail sector as a whole.
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Global Artificial Intelligence in Retail Market: Report Scope
|Market Size 2019 Value||USD 2.7 Billion|
|Market Forecast for 2026||USD 20.05 Billion|
|Expected CAGR Growth||CAGR 39% from 2020-2026|
|Forecast Year||2020-2026 [Updated]|
|Top Market Players||Amazon Web Services Inc., BloomReach Inc., Conversica Inc., Daisy Intelligence, Findmine Inc., Focal Systems Inc., Google LLC, IBM Corporation, and Others|
|Segments Covered||Types, Technology, Solutions, Services, Deployment Mode, Applications, and Regions|
|Geographies Covered||North America, Europe, Asia Pacific, Latin America, and Middle East & Africa|
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Global Artificial Intelligence in Retail Market: Segmentation
Global Artificial Intelligence in Retail market is segmented into four notable segments which are type, solution, technology, deployment model, service, and application.
Based on type the market is classified into offline, and online. Based on technology the market is classified as machine learning & deep learning, natural language processing, and others. Based on Solution the market is further classified as Visual Search, Payment Services management, Customer Relationship Management, Product Recommendation & Planning, Price Optimization, Virtual Assistant, Supply chain management & Demand Planning, and Others. Based on service the market is further classified as managed services, and professional services. Based on the deployment model the market is further classified as on-premises and cloud. Based on Application the market is further classified as Location-Based Marketing, In-Store Visual Monitoring & Surveillance, Market Forecasting, Programmatic Advertising, Predictive Merchandising, and Others.
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Global Artificial Intelligence in Retail Market: Regional Analysis
Asia Pacific Region Projected To Be Fastest Growing in Artificial Intelligence in Retail Market Growth
The Asia Pacific is expected to dominate the market with the largest market share mainly because of the presence of several developed economies, such as China and Canada, focusing on enhancing the existing solutions in the retail space. North America hosts the primary AI solution providers and is an early adopter of AI technology.
Many retailers in this region have deployed AI-based solutions to optimize their supply chain operations and inventory. AI is helping retailers in managing and maintain their customers and understand the buying patterns of the consumers. To engage customers and improve sales turnover, AI technologies are being adopted by both online and offline retail businesses
Browse the full “Artificial Intelligence in Retail Market By Type (Offline, and Online), By Technology (Natural Language Processing, Machine Learning and Deep Learning, and Others), By Solution (Customer Relationship Management, Payment Services management, Price Optimization, Product Recommendation, and Planning, Supply chain management and Demand Planning, Virtual Assistant, Visual Search, Others ) By Service (Managed Services, and Professional Services), By Deployment Model (On-Premises, and Cloud), and By Application (In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Market Forecasting, Predictive Merchandising, Programmatic Advertising, and Others): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026” report at https://www.fnfresearch.com/artificial-intelligence-in-retail-market
The global Artificial Intelligence in Retail market is segmented as follows:
- Natural Language Processing
- Machine Learning and Deep Learning
- Customer Relationship Management
- Payment Services management
- Price Optimization
- Product Recommendation and Planning
- Supply chain management and Demand Planning
- Virtual Assistant
- Visual Search
- Managed Services
- Professional Services
By Deployment Model:
- In-Store Visual Monitoring and Surveillance
- Location-Based Marketing
- Market Forecasting
- Predictive Merchandising
- Programmatic Advertising