The Worldwide AI In Retail Industry is Expected to Reach $24.1 Billion by 2028 at a 24.4% CAGR

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Dublin, Jan. 19, 2023 (GLOBE NEWSWIRE) — The “Global AI In Retail Market Size, Share & Industry Trends Analysis Report by Technology, Sales Channel, Component, Application, Regional Outlook and Forecast, 2022-2028” report has been added to ResearchAndMarkets.com’s offering.

The Global AI In Retail Market size is expected to reach $24.1 billion by 2028, rising at a market growth of 24.4% CAGR during the forecast period.

Physical stores are still the leader in retail, but they must operate in very competitive markets. Similar to physical stores, digital stores compete in a market where they can easily access their rivals. Retailers can utilize AI to enhance the shopping experience for customers and acquire the competitive edge they need to remain relevant.

For instance, AI-powered virtual personal assistants and chatbots on a website provide customers personalized recommendations or dynamic pricing depending on their usage of the site, past purchases, and other pertinent information. Retail AI application cases exist in actual stores as well, utilizing data sources including in-store customer interactions via mobile devices and through sensors.

Using an algorithm that has been trained with sales data and other pertinent information, retail store owners can even utilize AI to optimize the layout of their stores. This aids in forecasting outcomes, such as a person’s propensity to purchase two things simultaneously if they are exhibited near to one another.

The retail industry is changing as a result of artificial intelligence (AI). Retailers can use AI to engage with their consumers and run more effectively, from utilizing computer vision to tailor promotions in real time to leveraging machine learning for managing inventory.

COVID-19 Impact Analysis

Due to the WFH policy brought on by this pandemic, the COVID-19 outbreak is anticipated to accelerate the market growth of next-generation tech fields, including artificial intelligence. In order to increase availability across the globe, tech companies are also increasing the range of products and services they offer.

Therefore, the integration of AI significantly increased within the retail industry. Hence, the growth of the market was steadily hampered, however, the increased utilization of AI augmented the growth of AI in the retail industry.

Market Growth Factors

Higher Efficiency In Saving Cost And Optimizing The Experience

AI comprises the ability to drastically change retailing in coming years, impacting everything from cost structures to the shopping experience. E-commerce and AI go hand in hand, and the coronavirus pandemic’s acceleration of e-commerce growth rates makes AI adoption even more imperative. AI advantages will transform the industry. Retailers must therefore start making plans right away. And not just technology should be included in those plans, but also business strategy.

Higher Supply Chain Capabilities

As a whole, one of the main advantages of artificial intelligence is that it can assist people with repetitive, time-consuming jobs. A significant number of workers believe that the increased adoption of AI in the workplace has improved productivity. And when AI is used in retail, the same thing may occur. Drivers in the logistics industry can use AI to discover the best delivery routes. Additionally, robots can assist with choosing and packing orders, freeing up staff members to work on other crucial activities.

The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The below illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Partnerships & Collaborations.

Market Restraining Factors

High Costs As Well As Lack Of The Ability To Improve

It is an impressive achievement when a machine can imitate human intelligence. However, the initial cost of AI is very high in such operations. It can be very expensive and takes a lot of time and resources. AI is highly expensive because it requires the newest software and hardware to function in order to stay updated and meet criteria. Artificial intelligence is a technology that cannot be created by humans since it is pre-programmed with knowledge and experience.

Key Topics Covered:

Chapter 1. Market Scope & Methodology

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 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. Global AI In Retail Market by Technology
4.1 Global Machine Learning Market by Region
4.2 Global Natural Language Processing Market by Region
4.3 Global Chatbots Market by Region
4.4 Global Image & Video Analytics Market by Region
4.5 Global Swarm Intelligence Market by Region

Chapter 5. Global AI In Retail Market by Sales Channel
5.1 Global Omnichannel Market by Region
5.2 Global Brick & Mortar Market by Region
5.3 Global Pure-play Online Retailers Market by Region

Chapter 6. Global AI In Retail Market by Component
6.1 Global Solution Market by Region
6.2 Global Services Market by Region

Chapter 7. Global AI In Retail Market by Application
7.1 Global Customer Relationship Management (CRM) Market by Region
7.2 Global Supply Chain & Logistics Market by Region
7.3 Global Inventory Management Market by Region
7.4 Global Product Optimization Market by Region
7.5 Global In-Store Navigation Market by Region
7.6 Global Payment & Pricing Analytics Market by Region
7.7 Global Virtual Assistant Market by Region

Chapter 8. Global AI In Retail Market by Region

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:

For more information about this report visit https://www.researchandmarkets.com/r/mf06gx

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