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Market Snapshot

CAGR:7.05

2023

2032

Source: Market Expertz

Study Period	2019-2032
Base Year	2023
Forcast Year	2023-2032
CAGR	7.05

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Report Overview

America AI in the Retail Market Analysis Report 2023-2032

The AI in the Retail Market in America is poised for substantial growth, with an anticipated Compound Annual Growth Rate (CAGR) of 18.21% from 2022 to 2032. This growth is projected to lead to an expansion of the market size by USD 12.85 billion. The AI in the Retail market's growth is driven by factors such as increasing demand for personalized customer experiences, data-driven decision-making, and the need for efficient inventory management.

AI in the Retail Market Overview

Drivers

The growth of the AI in the Retail market is fueled by the rising customer expectations for personalized shopping experiences. AI-powered recommendation systems analyze customer preferences and behaviors to provide tailored product suggestions, leading to increased customer satisfaction and loyalty.

Furthermore, retailers are leveraging AI to enhance their decision-making processes. AI algorithms process vast amounts of data to generate insights, helping retailers optimize pricing, inventory levels, and marketing strategies.

Trends

Voice commerce and visual search are key trends in the AI in the Retail market. Voice assistants enable customers to shop hands-free and interact with brands using natural language, facilitating a seamless shopping experience.

Moreover, visual search technology allows customers to search for products using images. This trend enhances the customer journey by enabling users to find products that match their preferences visually.

Restraints

Data privacy concerns, implementation challenges, and the cost of AI adoption pose obstacles in the AI in the Retail market. Retailers must navigate the fine line between personalization and privacy, ensuring that customer data is used ethically and transparently.

Additionally, integrating AI solutions into existing retail systems can be complex, requiring careful integration and training. Smaller retailers might face challenges in terms of initial investment and expertise required for AI implementation.

AI in the Retail Market Segmentation By Application

Among the AI in the Retail applications, the Customer Experience Enhancement segment is anticipated to experience significant growth during the forecast period. AI-powered chatbots, virtual assistants, and personalized recommendations enhance the shopping journey, providing customers with seamless assistance and product suggestions.

Moreover, the Inventory Management & Supply Chain Optimization segment is also relevant. AI algorithms analyze historical data and real-time demand to optimize inventory levels, reducing costs and minimizing stockouts.

AI in the Retail Market Segmentation By Technology

Within the AI in the Retail technology segment, the Machine Learning & Deep Learning segment is expected to play a substantial role in market growth. Machine learning algorithms process data and learn patterns, enabling retailers to predict customer behaviors, optimize pricing, and automate repetitive tasks.

Additionally, the Computer Vision segment remains relevant. Computer vision technology powers visual search, enabling customers to find products based on images, as well as facilitating cashierless checkout in physical stores.

Regional Overview:

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North America is projected to be a significant contributor to the AI in the Retail market growth in the Americas, accounting for approximately 60% of the market share during the forecast period. The region's leadership is attributed to its advanced retail infrastructure, tech-savvy consumers, and the presence of major retail giants.

The Latin America region is also witnessing growth, driven by the increasing adoption of digital technologies and e-commerce platforms in emerging economies.

The AI in the Retail market transforms the retail landscape by offering advanced solutions that enhance customer experiences and optimize operational processes.

AI in the Retail Market Customer Landscape

The AI in the Retail market report encompasses an analysis of the customer landscape, from large retail chains and e-commerce platforms to small retailers and direct-to-consumer brands. It delves into adoption rates across retail segments and user preferences, providing insights into customer behaviors and trends. Additionally, the report identifies key factors influencing AI in the Retail adoption, aiding businesses in devising effective growth strategies.

Major AI in the Retail Market Companies

Companies in the AI in the Retail market are implementing various strategies to enhance their market presence, including partnerships with technology providers, customization of AI solutions, and innovative customer engagement strategies.

Amazon.com, Inc.: Amazon is a pioneer in AI-driven retail, using AI to power recommendation systems, customer engagement, and supply chain optimization. The company focuses on enhancing the shopping experience through AI-powered features such as Amazon Go cashierless stores and Alexa voice shopping.
IBM Corporation: IBM offers AI solutions for retail that encompass customer engagement, inventory optimization, and supply chain management. The company's Watson AI platform assists retailers in making data-driven decisions to improve operational efficiency.
Salesforce.com, Inc.: Salesforce provides AI-powered customer relationship management (CRM) solutions for retailers, enabling personalized customer interactions and targeted marketing campaigns. The company focuses on integrating AI with CRM to enhance customer engagement and loyalty.

The competitive landscape analysis in the report offers comprehensive insights into market players, assessing their strengths, weaknesses, and positioning. The qualitative and quantitative data aids in categorizing companies based on their focus and dominance in the market.

Segment Overview

The AI in the Retail market report forecasts revenue growth at the Americas and regional levels and provides a comprehensive analysis of trends and growth opportunities from 2019 to 2032.

Application Outlook (USD Billion, 2019 - 2032)

Customer Experience Enhancement
Inventory Management & Supply Chain Optimization
Pricing Optimization
Fraud Detection & Prevention
Others

Technology Outlook (USD Billion, 2019 - 2032)

Machine Learning & Deep Learning
Natural Language Processing
Computer Vision
Others

Geography Outlook (USD Billion, 2019 - 2032)

North America

United States
Canada

Latin America

Brazil
Mexico
Rest of Latin America

TABLE OF CONTENTS: GLOBAL America’s AI in the Retail MARKET

Chapter 1. MARKET SYNOPSIS

1.1. Market Definition `

1.2. Research Scope & Premise

1.3. Methodology

1.4. Market Estimation Technique

Chapter 2. EXECUTIVE SUMMARY

2.1. Summary Snapshot, 2016 – 2027

Chapter 3. INDICATIVE METRICS

3.1. Macro Indicators

Chapter 4. America’s AI in the Retail MARKET SEGMENTATION & IMPACT ANALYSIS

4.1. America’s AI in the Retail Segmentation Analysis

4.2. Industrial Outlook

4.3. Price Trend Analysis

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

4.5.1. Power Of Suppliers

4.5.2. Power Of Buyers

4.5.3. Threat Of Substitutes

4.5.4. Threat Of New Entrants

4.5.5. Competitive Rivalry

Chapter 5. America’s AI in the Retail MARKET BY channel landscape

SIGHTS & TRENDS

5.1. Segment 1 Dynamics & Market Share, 2019 & 2027

5.2 Omnichannel

5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.3 Brick and Mortar

5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.4 Pure-play Online Retailers

5.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 6. America’s AI in the Retail MARKET BY solution INSIGHTS & TRENDS

6.1. Segment 2 Dynamics & Market Share, 2019 & 2027

6.2 Software

6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.3 Service

6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 7. America’s AI in the Retail MARKET REGIONAL OUTLOOK

7.1. America’s AI in the Retail Market Share By Region, 2019 & 2027

7.2. NORTH AMERICA

7.2.1. North America America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.2. North America America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.3. North America America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.4. North America America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.5. U.S.

7.2.5.1. U.S. America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.5.2. U.S. America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.5.3. U.S. America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.5.4. U.S. America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.6. CANADA

7.2.6.1. Canada America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.6.2. Canada America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.6.3. Canada America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.6.4. Canada America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3. EUROPE

7.3.1. Europe America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.2. Europe America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.3. Europe America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.4. Europe America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.5. GERMANY

7.3.5.1. Germany America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.5.2. Germany America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.5.3. Germany America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.5.4. Germany America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.6. FRANCE

7.3.6.1. France America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.6.2. France America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.6.3. France America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.6.4. France America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.7. U.K.

7.3.7.1. U.K. America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.7.2. U.K. America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.7.3. U.K. America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.7.4. U.K. America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4. ASIA-PACIFIC

7.4.1. Asia Pacific America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.2. Asia Pacific America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.3. Asia Pacific America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.4. Asia Pacific America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.5. CHINA

7.4.5.1. China America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.5.2. China America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.5.3. China America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.5.4. China America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.6. INDIA

7.4.6.1. India America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.6.2. India America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.6.3. India America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.6.4. India America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.7. JAPAN

7.4.7.1. Japan America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.7.2. Japan America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.7.3. Japan America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.7.4. Japan America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.8. AUSTRALIA

7.4.8.1. Australia America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.8.2. Australia America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.8.3. Australia America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.8.4. Australia America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.5. MIDDLE EAST AND AFRICA (MEA)

7.5.1. Mea America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.5.2. Mea America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.5.3. Mea America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.5.4. Mea America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.6. LATIN AMERICA

7.6.1. Latin America America’s AI in the Retail Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.6.2. Latin America America’s AI in the Retail Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.6.3. Latin America America’s AI in the Retail Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.6.4. Latin America America’s AI in the Retail Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)

7.6.5. Latin America America’s AI in the Retail Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

Chapter 8. COMPETITIVE LANDSCAPE

8.1. Market Share By Manufacturers

8.2. Strategic Benchmarking

8.2.1. New Product Launches

8.2.2. Investment & Expansion

8.2.3. Acquisitions

8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures

8.3. Vendor Landscape

8.3.1. North American Suppliers

8.3.2. European Suppliers

8.3.3. Asia-Pacific Suppliers

8.3.4. Rest Of The World Suppliers

Chapter 9. COMPANY PROFILES

9.1 Amazon Web Services

9.1.1. Company Overview

9.1.2. Financial Performance

9.1.3. Product Insights

9.1.4. Strategic Initiatives

9.2 Microsoft

9.2.1. Company Overview

9.2.2. Financial Performance

9.2.3. Product Insights

9.2.4. Strategic Initiatives

9.3 SAP SE

9.3.1. Company Overview

9.3.2. Financial Performance

9.3.3. Product Insights

9.3.4. Strategic Initiatives

9.4 Salesforce.com

9.4.1. Company Overview

9.4.2. Financial Performance

9.4.3. Product Insights

9.4.4. Strategic Initiatives

9.5 Oracle Corporation

9.5.1. Company Overview

9.5.2. Financial Performance

9.5.3. Product Insights

9.5.4. Strategic Initiatives

9.6 Company 6

9.6.1. Company Overview

9.6.2. Financial Performance

9.6.3. Product Insights

9.6.4. Strategic Initiatives

9.7 Company 7

9.7.1. Company Overview

9.7.2. Financial Performance

9.7.3. Product Insights

9.7.4. Strategic Initiatives

9.8 Company 8

9.8.1. Company Overview

9.8.2. Financial Performance

9.8.3. Product Insights

9.8.4. Strategic Initiatives

9.9 Company 9

9.9.1. Company Overview

9.9.2. Financial Performance

9.9.3. Product Insights

9.9.4. Strategic Initiatives

9.10 Company 10

9.10.1. Company Overview

9.10.2. Financial Performance

9.10.3. Product Insights

9.10.4. Strategic Initiatives

RESEARCH METHODOLOGY

A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.

Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.

Now let’s take a closer look at the research methods here.

Secondary Research Model

Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.

Primary Insights

Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.

However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.

Market Estimation

The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.

Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.

Final Presentation

The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.

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Ai In The Retail Market Size, Type Analysis, Application Analysis, End-Use, Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2023-2032