North America AI In Retail Market Size, Share & Industry Trends Analysis Report By Technology, By Sales Channel (Omnichannel, Brick & Mortar, and Pure-play Online Retailers), By Component, By Application, By Country and Growth Forecast, 2022 – 2028
The North America AI In Retail Market would witness market growth of 23.6% CAGR during the forecast period (2022-2028).
Technology fuels AI in retail at every step of the journey, from the brick-and-mortar edge to the cloud. Retailers nowadays need to respond to their customers in a way that has never been conceivable while also reducing waste and inefficiencies in their business operations. Data is available, but making sense of the overwhelming amount of it requires real expertise.
More than just connecting things is what digital transformation in retail is all about. It involves turning data into insights that guide decisions and lead to improved business results. These insights are produced in large proportion by AI in retail, specifically machine learning and deep learning. For retailers, this results in amazing customer experiences, chances to increase revenue, quick innovation, and shrewd operations, all of which help set businesses apart from their rivals.
Numerous shops already incorporate AI into some aspects of their business. AI in CRM software can be used to automate marketing tasks, and predictive analytics can be used to determine which customers are most likely to purchase particular goods. The cloud makes it possible to store and process AI workloads that call for large amounts of data from numerous sources.
The North America AI in retail market is very large and it is also expanding rapidly owing to a number of factors. In order to improve customer service effectiveness, businesses in North America are focusing on gathering the available data on consumer preferences. Additionally, the United States was the first country to deploy artificial intelligence technology and is already reaping significant economic benefits.
The US market dominated the North America AI In Retail Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $6,406.5 million by 2028. The Canada market is poised to grow at a CAGR of 26.4% during (2022 - 2028). Additionally, The Mexico market would witness a CAGR of 25.3% during (2022 - 2028).
Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Chatbots, Image & Video Analytics, and Swarm Intelligence. Based on Sales Channel, the market is segmented into Omnichannel, Brick & Mortar, and Pure-play Online Retailers. Based on Component, the market is segmented into Solution and Services. Based on Application, the market is segmented into Customer Relationship Management (CRM), Supply Chain & Logistics, Inventory Management, Product Optimization, In-Store Navigation, Payment & Pricing Analytics, and Virtual Assistant. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Intel Corporation, Salesforce.com, Inc., NVIDIA Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, and ViSenze Pte Ltd.
Scope of the Study
Market Segments covered in the Report:
By Technology
- Machine Learning
- Natural Language Processing
- Chatbots
- Image & Video Analytics
- Swarm Intelligence
- Omnichannel
- Brick & Mortar
- Pure-play Online Retailers
- Solution
- Services
- Customer Relationship Management (CRM)
- Supply Chain & Logistics
- Inventory Management
- Product Optimization
- In-Store Navigation
- Payment & Pricing Analytics
- Virtual Assistant
- US
- Canada
- Mexico
- Rest of North America
- Intel Corporation
- Salesforce.com, Inc.
- NVIDIA Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Google LLC
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- ViSenze Pte Ltd
- Exhaustive coverage
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- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 North America AI In Retail Market, by Technology
- 1.4.2 North America AI In Retail Market, by Sales Channel
- 1.4.3 North America AI In Retail Market, by Component
- 1.4.4 North America AI In Retail Market, by Application
- 1.4.5 North America AI In Retail Market, by Country
- 1.5 Methodology for the research
- Chapter 2. Market Overview
- 2.1 Introduction
- 2.1.1 Overview
- 2.1.1.1 Market composition and scenario
- 2.2 Key Factors Impacting the Market
- 2.2.1 Market Drivers
- 2.2.2 Market Restraints
- Chapter 3. Competition Analysis - Global
- 3.1 KBV Cardinal Matrix
- 3.2 Recent Industry Wide Strategic Developments
- 3.2.1 Partnerships, Collaborations and Agreements
- 3.2.2 Product Launches and Product Expansions
- 3.2.3 Acquisition and Mergers
- 3.3 Market Share Analysis, 2021
- 3.4 Top Winning Strategies
- 3.4.1 Key Leading Strategies: Percentage Distribution (2018-2022)
- 3.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2018, May – 2022, Sep) Leading Players
- Chapter 4. North America AI In Retail Market by Technology
- 4.1 North America Machine Learning Market by Country
- 4.2 North America Natural Language Processing Market by Country
- 4.3 North America Chatbots Market by Country
- 4.4 North America Image & Video Analytics Market by Country
- 4.5 North America Swarm Intelligence Market by Country
- Chapter 5. North America AI In Retail Market by Sales Channel
- 5.1 North America Omnichannel Market by Country
- 5.2 North America Brick & Mortar Market by Country
- 5.3 North America Pure-play Online Retailers Market by Country
- Chapter 6. North America AI In Retail Market by Component
- 6.1 North America Solution Market by Country
- 6.2 North America Services Market by Country
- Chapter 7. North America AI In Retail Market by Application
- 7.1 North America Customer Relationship Management (CRM) Market by Country
- 7.2 North America Supply Chain & Logistics Market by Country
- 7.3 North America Inventory Management Market by Country
- 7.4 North America Product Optimization Market by Country
- 7.5 North America In-Store Navigation Market by Country
- 7.6 North America Payment & Pricing Analytics Market by Country
- 7.7 North America Virtual Assistant Market by Country
- Chapter 8. North America AI In Retail Market by Country
- 8.1 US AI In Retail Market
- 8.1.1 US AI In Retail Market by Technology
- 8.1.2 US AI In Retail Market by Sales Channel
- 8.1.3 US AI In Retail Market by Component
- 8.1.4 US AI In Retail Market by Application
- 8.2 Canada AI In Retail Market
- 8.2.1 Canada AI In Retail Market by Technology
- 8.2.2 Canada AI In Retail Market by Sales Channel
- 8.2.3 Canada AI In Retail Market by Component
- 8.2.4 Canada AI In Retail Market by Application
- 8.3 Mexico AI In Retail Market
- 8.3.1 Mexico AI In Retail Market by Technology
- 8.3.2 Mexico AI In Retail Market by Sales Channel
- 8.3.3 Mexico AI In Retail Market by Component
- 8.3.4 Mexico AI In Retail Market by Application
- 8.4 Rest of North America AI In Retail Market
- 8.4.1 Rest of North America AI In Retail Market by Technology
- 8.4.2 Rest of North America AI In Retail Market by Sales Channel
- 8.4.3 Rest of North America AI In Retail Market by Component
- 8.4.4 Rest of North America AI In Retail Market by Application
- Chapter 9. Company Profiles
- 9.1 Intel Corporation
- 9.1.1 Company Overview
- 9.1.2 Financial Analysis
- 9.1.3 Segmental and Regional Analysis
- 9.1.4 Research & Development Expenses
- 9.1.5 Recent strategies and developments:
- 9.1.5.1 Product Launches and Product Expansions:
- 9.1.5.2 Acquisition and Mergers:
- 9.1.6 SWOT Analysis
- 9.2 Salesforce.com, Inc.
- 9.2.1 Company Overview
- 9.2.2 Financial Analysis
- 9.2.3 Regional Analysis
- 9.2.4 Research & Development Expense
- 9.2.5 Recent strategies and developments:
- 9.2.5.1 Partnerships, Collaborations, and Agreements:
- 9.2.5.2 Product Launches and Product Expansions:
- 9.2.6 SWOT Analysis
- 9.3 NVIDIA Corporation
- 9.3.1 Company Overview
- 9.3.2 Financial Analysis
- 9.3.3 Segmental and Regional Analysis
- 9.3.4 Research & Development Expense
- 9.3.5 Recent strategies and developments:
- 9.3.5.1 Partnerships, Collaborations, and Agreements:
- 9.3.5.2 Product Launches and Product Expansions:
- 9.3.5.3 Acquisition and Mergers:
- 9.3.6 SWOT Analysis
- 9.4 Amazon Web Services, Inc. (Amazon.com, Inc.)
- 9.4.1 Company Overview
- 9.4.2 Financial Analysis
- 9.4.3 Segmental Analysis
- 9.4.4 Recent strategies and developments:
- 9.4.4.1 Partnerships, Collaborations, and Agreements:
- 9.4.5 SWOT Analysis
- 9.5 Google LLC
- 9.5.1 Company Overview
- 9.5.2 Financial Analysis
- 9.5.3 Segmental and Regional Analysis
- 9.5.4 Research & Development Expense
- 9.5.5 Recent strategies and developments:
- 9.5.5.1 Partnerships, Collaborations, and Agreements:
- 9.5.5.2 Product Launches and Product Expansions:
- 9.5.6 SWOT Analysis
- 9.6 IBM Corporation
- 9.6.1 Company Overview
- 9.6.2 Financial Analysis
- 9.6.3 Regional & Segmental Analysis
- 9.6.4 Research & Development Expenses
- 9.6.5 Recent strategies and developments:
- 9.6.5.1 Mergers & Acquisition:
- 9.6.5.2 Product Launches and Product Expansions:
- 9.6.6 SWOT Analysis
- 9.7 Microsoft Corporation
- 9.7.1 Company Overview
- 9.7.2 Financial Analysis
- 9.7.3 Segmental and Regional Analysis
- 9.7.4 Research & Development Expenses
- 9.7.5 Recent strategies and developments:
- 9.7.5.1 Partnerships, Collaborations, and Agreements:
- 9.7.5.2 Mergers & Acquisition:
- 9.7.6 SWOT Analysis
- 9.8 Oracle Corporation
- 9.8.1 Company Overview
- 9.8.2 Financial Analysis
- 9.8.3 Segmental and Regional Analysis
- 9.8.4 Research & Development Expense
- 9.8.5 Recent strategies and developments:
- 9.8.5.1 Partnerships, Collaborations & Agreements:
- 9.8.5.2 Acquisition and Mergers:
- 9.8.6 SWOT Analysis
- 9.9 SAP SE
- 9.9.1 Company Overview
- 9.9.2 Financial Analysis
- 9.9.3 Segmental and Regional Analysis
- 9.9.4 Research & Development Expense
- 9.9.5 Recent strategies and developments:
- 9.9.5.1 Partnerships, Collaborations, and Agreements:
- 9.9.5.2 Acquisition and Mergers:
- 9.10. ViSenze Pte Ltd
- 9.10.1 Company Overview
- 9.10.2 Recent strategies and developments:
- 9.10.2.1 Partnerships, Collaborations, and Agreements:
- 9.10.2.2 Product Launches and Product Expansions:
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