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Artificial Intelligence (AI) in Retail Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032

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from $4,850 150 Pages Fortune Business Insights Pvt. Ltd. April, 2024 FOB18772851
Best Price Guarantee
Price from $4,850
Length 150 Pages
Publisher Fortune Business Insights Pvt. Ltd.
Published Date April, 2024
SKU FOB18772851

Artificial Intelligence (AI) in Retail Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032



Growth Factors of Artificial Intelligence in Retail Market Article


The Artificial Intelligence in Retail Market Article size was valued at USD 7.14 billion in 2023, and the market is now projected to grow from USD 9.36 billion in 2024 to USD 85.07 billion by 2032, exhibiting a CAGR of 31.8% during the forecast period of 2024-2032.

Artificial Intelligence in retail defines the usage of automation, technologies and data known as machine learning (ML) algorithms that deliver high and personalized experiences to consumers.

The COVID-19 pandemic created positive impact on the retailers chain due to high demand and customers of dynamic purchasing pattern and behavior of tailored choices, that helped the implementation of AI to boost the Artificial Intelligence in Retail Market growth and efficiency.

Due to the involvement of E-commerce industry and the integration of voice, image and video searches the AI has revolutionized theprocessing data and inquires, mining the meta data. The features of Ai search to analyze track and show predictions for various user experiences such as shopping and increasing engagement.

Additionally, due to improved technological advancements policies, AI powered chatbot is gaininghuge popularity in the retail industry due to highly efficient customer services due to which there is a surge in demand of Artificial Intelligence in Retail Market share.

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The Artificial Intelligence (AI) in Retail Market is rising at an exponential rate due to its market segmentation. This market expansion effectively provides a detailed regional assessments considering the dominant supply and demand forces that impact the information and communication technology . These segmentations are methodically segregated By Offerings, by function, by type, by application and by technology. The By Offerings include, Solutions and Services. The functions include Operation-Focused and Customer-Facing. By types include, online and offline. By Application include, Predictive Analytics, In-Store Visual Monitoring & Surveillance, Customer Relationship Management, Market Forecasting, Inventory Management, and Others. By Technology include Computer Vision, Machine Learning, Natural Language Processing, and Others.

The North America region lead the Artificial Intelligence (AI) in Retail Market by benefitting a market size of USD 2.79 billion in 2023 due to adoption of advanced technologies such as Chabot, cloud computing and improved customer experience.

The top players in the market play a crucial role in the information and communication technology pertaining to growth and set high market standards. These players include, List of the Key Companies Profiled: Amazon.com, Inc. (U.S.) Google LLC (U.S.) IBM Corporation (U.S.) Intel Corporation (U.S.) Microsoft Corporation (U.S.) Nvidia Corporation (U.S.) Oracle Corporation (U.S.) SAP SE (Germany) Salesforce.com, Inc. (U.S.) Talkdesk, Inc. (U.S.)these market players provide a level-playing competitive landscape.

In April 2023, Siam Makro Public Company Limited that is a leading retailer recently collaborated with Oracle and it revolutionized the digitalization making it a digital transformation. It presented a new developmental breakthrough, by implementing Oracle Cloud Infrastructure that drives efficiency in Makro Retail management.

Segmentation Table

Attribute Details

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

Growth RateCAGR of 31.8% from 2024 to 2032

Unit Value (USD billion)

Segmentation By Offering

Solution

Services

By Function

Operations-Focused

Customer-Facing

By Type

Online

Offline

By Application

Predictive Analytics

In-Store Visual Monitoring and Surveillance

Customer Relationship Management (CRM)

Market Forecasting

Inventory Management

Others (Payment and Pricing Analytics, Real-Time Product Targeting, etc.)

By Technology

Computer Vision

Machine Learning

Natural Language Processing

Others (Speech Recognition, Deep Learning, and Robotics

By Region

North America (By Offering, By Function, By Type, By Application, By Technology, and By Country)

-U.S. (By Technology)

-Canada (By Technology)

Europe (By Offering, By Function, By Type, By Application, By Technology, and By Country)

-U.K. (By Technology)

-Germany (By Technology)

-France (By Technology)

-Scandinavia (By Technology)

-Rest of Europe

Asia Pacific (By Offering, By Function, By Type, By Application, By Technology, and By Country)

-China (By Technology)

-Japan (By Technology)

-India (By Technology)

-Southeast Asia (By Technology)

-Rest of Asia Pacific

Middle East & Africa (By Offering, By Function, By Type, By Application, By Technology, and By Country)

-GCC (By Technology)

-South Africa (By Technology)

-Rest of the Middle East & Africa

Latin America (By Offering, By Function, By Type, By Application, By Technology, and By Country)

-Brazil (By Technology)

-Mexico (By Technology)

-Rest of Latin America


1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Artificial Intelligence in Retail Key Players Market Share/Ranking, 2023
5. Global Artificial Intelligence in Retail Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Offering (USD)
5.2.1. Solution
5.2.2. Services
5.3. By Function (USD)
5.3.1. Operations-Focused
5.3.2. Customer-Facing
5.4. By Type (USD)
5.4.1. Online
5.4.2. Offline
5.5. By Application (USD)
5.5.1. Predictive Analytics
5.5.2. In-Store Visual Monitoring and Surveillance
5.5.3. Customer Relationship Management (CRM)
5.5.4. Market Forecasting
5.5.5. Inventory Management
5.5.6. Others (Payment and Pricing Analytics, Real-Time Product Targeting, etc.)
5.6. By Technology (USD)
5.6.1. Computer Vision
5.6.2. Machine Learning
5.6.3. Natural Language Processing
5.6.4. Others (Analytics and Process Automation)
5.7. By Region (USD)
5.7.1. North America
5.7.2. Europe
5.7.3. Asia Pacific
5.7.4. Middle East & Africa
5.7.5. Latin America
6. North America Artificial Intelligence in Retail Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Offering (USD)
6.2.1. Solution
6.2.2. Services
6.3. By Function (USD)
6.3.1. Operations-Focused
6.3.2. Customer-Facing
6.4. By Type (USD)
6.4.1. Online
6.4.2. Offline
6.5. By Application (USD)
6.5.1. Predictive Analytics
6.5.2. In-Store Visual Monitoring and Surveillance
6.5.3. Customer Relationship Management (CRM)
6.5.4. Market Forecasting
6.5.5. Inventory Management
6.5.6. Others (Payment and Pricing Analytics, Real-Time Product Targeting, etc.)
6.6. By Technology (USD)
6.6.1. Computer Vision
6.6.2. Machine Learning
6.6.3. Natural Language Processing
6.6.4. Others (Analytics and Process Automation)
6.7. By Country (USD)
6.7.1. United States
6.7.1.1. By Technology
6.7.2. Canada
6.7.2.1. By Technology
7. Europe Artificial Intelligence in Retail Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Offering (USD)
7.2.1. Solution
7.2.2. Services
7.3. By Function (USD)
7.3.1. Operations-Focused
7.3.2. Customer-Facing
7.4. By Type (USD)
7.4.1. Online
7.4.2. Offline
7.5. By Application (USD)
7.5.1. Predictive Analytics
7.5.2. In-Store Visual Monitoring and Surveillance
7.5.3. Customer Relationship Management (CRM)
7.5.4. Market Forecasting
7.5.5. Inventory Management
7.5.6. Others (Payment and Pricing Analytics, Real-Time Product Targeting, etc.)
7.6. By Technology (USD)
7.6.1. Computer Vision
7.6.2. Machine Learning
7.6.3. Natural Language Processing
7.6.4. Others (Analytics and Process Automation)
7.7. By Country (USD)
7.7.1. U.K.
7.7.1.1. By Technology
7.7.2. Germany
7.7.2.1. By Technology
7.7.3. France
7.7.3.1. By Technology
7.7.4. Scandinavia
7.7.4.1. By Technology
7.7.5. Rest of Europe
8. Asia Pacific Artificial Intelligence in Retail Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Offering (USD)
8.2.1. Solution
8.2.2. Services
8.3. By Function (USD)
8.3.1. Operations-Focused
8.3.2. Customer-Facing
8.4. By Type (USD)
8.4.1. Online
8.4.2. Offline
8.5. By Application (USD)
8.5.1. Predictive Analytics
8.5.2. In-Store Visual Monitoring and Surveillance
8.5.3. Customer Relationship Management (CRM)
8.5.4. Market Forecasting
8.5.5. Inventory Management
8.5.6. Others (Payment and Pricing Analytics, Real-Time Product Targeting, etc.)
8.6. By Technology (USD)
8.6.1. Computer Vision
8.6.2. Machine Learning
8.6.3. Natural Language Processing
8.6.4. Others (Analytics and Process Automation)
8.7. By Country (USD)
8.7.1. China
8.7.1.1. By Technology
8.7.2. Japan
8.7.2.1. By Technology
8.7.3. India
8.7.3.1. By Technology
8.7.4. Southeast Asia
8.7.4.1. By Technology
8.7.5. Rest of Asia Pacific
9. Middle East & Africa Artificial Intelligence in Retail Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Offering (USD)
9.2.1. Solution
9.2.2. Services
9.3. By Function (USD)
9.3.1. Operations-Focused
9.3.2. Customer-Facing
9.4. By Type (USD)
9.4.1. Online
9.4.2. Offline
9.5. By Application (USD)
9.5.1. Predictive Analytics
9.5.2. In-Store Visual Monitoring and Surveillance
9.5.3. Customer Relationship Management (CRM)
9.5.4. Market Forecasting
9.5.5. Inventory Management
9.5.6. Others (Payment and Pricing Analytics, Real-Time Product Targeting, etc.)
9.6. By Technology (USD)
9.6.1. Computer Vision
9.6.2. Machine Learning
9.6.3. Natural Language Processing
9.6.4. Others (Analytics and Process Automation)
9.7. By Country (USD)
9.7.1. GCC
9.7.1.1. By Technology
9.7.2. South Africa
9.7.2.1. By Technology
9.7.3. Rest of MEA
10. Latin America Artificial Intelligence in Retail Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Offering (USD)
10.2.1. Solution
10.2.2. Services
10.3. By Function (USD)
10.3.1. Operations-Focused
10.3.2. Customer-Facing
10.4. By Type (USD)
10.4.1. Online
10.4.2. Offline
10.5. By Application (USD)
10.5.1. Predictive Analytics
10.5.2. In-Store Visual Monitoring and Surveillance
10.5.3. Customer Relationship Management (CRM)
10.5.4. Market Forecasting
10.5.5. Inventory Management
10.5.6. Others (Payment and Pricing Analytics, Real-Time Product Targeting, etc.)
10.6. By Technology (USD)
10.6.1. Computer Vision
10.6.2. Machine Learning
10.6.3. Natural Language Processing
10.6.4. Others (Analytics and Process Automation)
10.7. By Country (USD)
10.7.1. Brazil
10.7.1.1. By Technology
10.7.2. Mexico
10.7.2.1. By Technology
10.7.3. Rest of Latin America
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Amazon.com, Inc.
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. Google LLC
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. IBM Corporation
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Intel Corporation
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Microsoft Corporation
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Nvidia Corporation
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Oracle Corporation
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. SAP SE
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Salesforce.com, Inc.
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Talkdesk, Inc.
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments

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