Artificial Intelligence in Retail Market Projected to Grow with a CAGR of 35.9% Over the Forecast Period, 2019-2025 -

The "Artificial Intelligence in Retail Market by Product (Chatbot, Customer Relationship Management), Application (Programmatic Advertising), Technology (Machine Learning, Natural Language Processing), Retail (E-commerce and Direct Retail)- Forecast to 2025" report has been added to's offering.

The artificial intelligence in retail market is expected to grow at a CAGR of 35.9% from 2019 to 2025 to reach $15.3 billion by 2025.

The growth in the artificial intelligence in retail market is driven by several factors such as the rising number of internet users, increasing adoption of smart devices, rapid adoption of advances in technology across retail chain, and increasing adoption of the multi-channel or omnichannel retailing strategy. Besides, the factors such as increasing awareness about AI and big data & analytics, consistent proliferation of Internet of Things, and enhanced end-user experience is also contributing to the market growth. However, high cost of transformation and lack of infrastructure are the major factors hindering the market growth during the forecast period.

The study offers a comprehensive analysis of the global artificial intelligence in retail market with respect to various types.

The global artificial intelligence in retail market is segmented on the basis of product (chatbot, customer relationship management, inventory management), application (programmatic advertising, market forecasting), technology (machine learning, natural language processing, computer vision), retail (e-commerce and direct retail), and geography

The predictive merchandising segment accounted for the largest share of the overall artificial intelligence in retail market in 2019, mainly due to growing demand for the customer behavior tracking solutions among the retailers. However, the in-store visual monitoring and surveillance segment is expected to witness rapid growth during the forecast period, as it helps in plummeting the issue of shoplifting in retail, which is one of the major reasons to incur financial loss in the stores.

An in-depth analysis of the geographical scenario of the market provides detailed qualitative and quantitative insights about the five regions including North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. In 2019, North America commanded the largest share of the global artificial intelligence in retail market, followed by Europe and Asia Pacific. The large share of this region is mainly attributed to its open-minded approach towards smart technologies and high technology adoption rate, presence of key players & start-ups, and increased internet access. However, the factors such as speedy growth in spending power, presence of young population, and government initiatives supporting digitalization is helping Asia Pacific to register the fastest growth in the global artificial intelligence in retail market.

Key Topics Covered:

1. Introduction

1.1. Market Definition

1.2. Market Ecosystem

1.3. Currency and Limitations

1.3.1. Currency

1.3.2. Limitations

1.4. Key Stakeholders

2. Research Methodology

2.1. Research Approach

2.2. Data Collection & Validation

2.2.1. Secondary Research

2.2.2. Primary Research

2.3. Market Assessment

2.3.1. Market Size Estimation

2.3.2. Bottom-Up Approach

2.3.3. Top-Down Approach

2.3.4. Growth Forecast

2.4. Assumptions for the Study

3. Executive Summary

3.1. Overview

3.2. Market Analysis, by Product Offering

3.3. Market Analysis, by Application

3.4. Market Analysis, by Learning Technology

3.5. Market Analysis, by Type

3.6. Market Analysis, by End-User

3.7. Market Analysis, by Deployment Type

3.8. Market Analysis, by Geography

3.9. Competitive Analysis

4. Market insights

4.1. Introduction

4.2. Market Dynamics

4.2.1. Drivers

4.2.2. Restraints

4.2.3. Opportunities

4.2.4. Challenges

4.2.5. Trends

5. Artificial Intelligence in Retail Market, by Product Type

5.1. Introduction

5.2. Solutions

5.2.1. Chatbot

5.2.2. Recommendation Engines

5.2.3. Customer Behaviour Tracking

5.2.4. Visual Search

5.2.5. Customer Relationship Management

5.2.6. Price Optimization

5.2.7. Supply Chain Management

5.2.8. inventory Management

5.3. Services

5.3.1. Managed Services

5.3.2. Professional Services

6. Artificial Intelligence in Retail Market, by Application

6.1. Introduction

6.2. Predictive Merchandising

6.3. Programmatic Advertising

6.4. In-Store Visual Monitoring & Surveillance

6.5. Market Forecasting

6.6. Location-Based Marketing

7. Artificial Intelligence in Retail Market, by Learning Technology

7.1. Introduction

7.2. Machine Learning

7.3. Natural Language Processing

7.4. Computer Vision

8. Artificial Intelligence in Retail Market, by Type

8.1. Introduction

8.2. Offline Retail

8.2.1. Brick & Mortar Stores

8.2.2. Supermarkets & Hypermarket

8.2.3. Specialty Stores

8.3. Online Retail

9. Artificial Intelligence in Retail Market, by End-User

9.1. Introduction

9.2. Food & Groceries

9.3. Health & Wellness

9.4. Automotive

9.5. Electronics & White Goods

9.6. Fashion & Clothing

9.7. Other

10. Artificial Intelligence in Retail Market, by Deployment Type

10.1. Introduction

10.2. Cloud

10.3. On-Premise

11. Global Artificial Intelligence in Retail Market, by Geography

11.1. Introduction

11.2. North America

11.3. Europe

11.4. Asia-Pacific

11.5. Latin America

11.6. Middle East & Africa

12. Competitive Landscape

12.1. Competitive Growth Strategies

12.1.1. New Product Launches

12.1.2. Mergers and Acquisitions

12.1.3. Partnerships, Agreements, & Collaborations

12.1.4. Expansions

12.2. Market Share Analysis

12.3. Competitive Benchmarking

13. Company Profiles (Business Overview, Financial Overview, Product Portfolio, and Strategic Developments)

13.1. Amazon

13.2. Google LLC

13.3. IBM Corporation

13.4. Intel Corporation

13.5. Microsoft Corporation

13.6. Nvidia Corporation

13.7. Oracle Corporation

13.8. Sap SE

13.9. Bloomreach, Inc.

13.10. Salesforce.Com, Inc.

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