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Artificial Intelligence in Retail Market by Technology (Machine Learning & Deep Learning, Natural Language Processing), Type (Offline Retail, Online Retail), Service, Solution, Deployment Mode, Application - Global Forecast 2024-2030

Publisher 360iResearch
Published Jan 15, 2024
Length 180 Pages
SKU # IRE18418555

Description

Artificial Intelligence in Retail Market by Technology (Machine Learning & Deep Learning, Natural Language Processing), Type (Offline Retail, Online Retail), Service, Solution, Deployment Mode, Application - Global Forecast 2024-2030


The Artificial Intelligence in Retail Market size was estimated at USD 4.01 billion in 2023 and expected to reach USD 4.68 billion in 2024, at a CAGR 16.88% to reach USD 11.97 billion by 2030.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Retail Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Retail Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Retail Market, highlighting leading vendors and their innovative profiles. These include Algolia, Inc., Amazon.com, Inc., BloomReach, Inc., Bolt Financial, Inc., Forter, Ltd., Google LLC by Alphabet Inc., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Salesforce, Inc., SAP SE, Talkdesk, Inc., and ViSenze Pte. Ltd.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Retail Market to forecast the revenues and analyze trends in each of the following sub-markets:

Technology

Machine Learning & Deep Learning

Emotion Detection
  • Facial Recognition
  • Natural Language Processing
  • Type

    Offline Retail
  • Online Retail
  • Service

    Managed Services
  • Professional Services
  • Solution

    Customer Relationship Management
  • Payment Services Management
  • Price Optimization
  • Product Recommendation & Planning
  • Supply Chain Management & Demand Planning
  • Virtual Assistant
  • Visual Search
  • Deployment Mode

    On-Cloud
  • On-Premises
  • Application

    In-Store Visual Monitoring & Surveillance
  • Location-Based Marketing
  • Market Forecasting
  • Predictive Merchandising
  • Programmatic Advertising
  • Region

    Americas

    Argentina
  • Brazil
  • Canada
  • Mexico
  • United States

    California
  • Florida
  • Illinois
  • New York
  • Ohio
  • Pennsylvania
  • Texas
  • Asia-Pacific

    Australia
  • China
  • India
  • Indonesia
  • Japan
  • Malaysia
  • Philippines
  • Singapore
  • South Korea
  • Taiwan
  • Thailand
  • Vietnam
  • Europe, Middle East & Africa

    Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom
    The report offers valuable insights on the following aspects:

    1. Market Penetration: It presents comprehensive information on the market provided by key players.
    2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
    3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
    4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
    5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
    The report addresses key questions such as:

    1. What is the market size and forecast of the Artificial Intelligence in Retail Market?
    2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Retail Market?
    3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Retail Market?
    4. What is the market share of the leading vendors in the Artificial Intelligence in Retail Market?
    5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Retail Market?


    Note: PDF & Excel + Online Access - 1 Year

    • Table of Contents

    180 Pages
    1. Preface
    1.1. Objectives of the Study
    1.2. Market Segmentation & Coverage
    1.3. Years Considered for the Study
    1.4. Currency & Pricing
    1.5. Language
    1.6. Limitations
    1.7. Assumptions
    1.8. Stakeholders
    2. Research Methodology
    2.1. Define: Research Objective
    2.2. Determine: Research Design
    2.3. Prepare: Research Instrument
    2.4. Collect: Data Source
    2.5. Analyze: Data Interpretation
    2.6. Formulate: Data Verification
    2.7. Publish: Research Report
    2.8. Repeat: Report Update
    3. Executive Summary
    4. Market Overview
    4.1. Introduction
    4.2. Artificial Intelligence in Retail Market, by Region
    5. Market Insights
    5.1. Market Dynamics
    5.1.1. Drivers
    5.1.1.1. Rising requirements for superior surveillance and monitoring in organized retails
    5.1.1.2. Increasing adoption for data analytics and business decision
    5.1.1.3. Improve productivity, reduce waste, and enhance customer experience
    5.1.2. Restraints
    5.1.2.1. Compatibility issues with existing structure
    5.1.3. Opportunities
    5.1.3.1. Smart mirror and smart displays with gesture recognition
    5.1.3.2. Growing organized retail sector in developing countries
    5.1.4. Challenges
    5.1.4.1. Data privacy and security concern
    5.2. Market Segmentation Analysis
    5.3. Market Trend Analysis
    5.4. Cumulative Impact of High Inflation
    5.5. Porter’s Five Forces Analysis
    5.5.1. Threat of New Entrants
    5.5.2. Threat of Substitutes
    5.5.3. Bargaining Power of Customers
    5.5.4. Bargaining Power of Suppliers
    5.5.5. Industry Rivalry
    5.6. Value Chain & Critical Path Analysis
    5.7. Regulatory Framework
    6. Artificial Intelligence in Retail Market, by Technology
    6.1. Introduction
    6.2. Machine Learning & Deep Learning
    6.3.1. Emotion Detection
    6.3.2. Facial Recognition
    6.3. Natural Language Processing
    7. Artificial Intelligence in Retail Market, by Type
    7.1. Introduction
    7.2. Offline Retail
    7.3. Online Retail
    8. Artificial Intelligence in Retail Market, by Service
    8.1. Introduction
    8.2. Managed Services
    8.3. Professional Services
    9. Artificial Intelligence in Retail Market, by Solution
    9.1. Introduction
    9.2. Customer Relationship Management
    9.3. Payment Services Management
    9.4. Price Optimization
    9.5. Product Recommendation & Planning
    9.6. Supply Chain Management & Demand Planning
    9.7. Virtual Assistant
    9.8. Visual Search
    10. Artificial Intelligence in Retail Market, by Deployment Mode
    10.1. Introduction
    10.2. On-Cloud
    10.3. On-Premises
    11. Artificial Intelligence in Retail Market, by Application
    11.1. Introduction
    11.2. In-Store Visual Monitoring & Surveillance
    11.3. Location-Based Marketing
    11.4. Market Forecasting
    11.5. Predictive Merchandising
    11.6. Programmatic Advertising
    12. Americas Artificial Intelligence in Retail Market
    12.1. Introduction
    12.2. Argentina
    12.3. Brazil
    12.4. Canada
    12.5. Mexico
    12.6. United States
    13. Asia-Pacific Artificial Intelligence in Retail Market
    13.1. Introduction
    13.2. Australia
    13.3. China
    13.4. India
    13.5. Indonesia
    13.6. Japan
    13.7. Malaysia
    13.8. Philippines
    13.9. Singapore
    13.10. South Korea
    13.11. Taiwan
    13.12. Thailand
    13.13. Vietnam
    14. Europe, Middle East & Africa Artificial Intelligence in Retail Market
    14.1. Introduction
    14.2. Denmark
    14.3. Egypt
    14.4. Finland
    14.5. France
    14.6. Germany
    14.7. Israel
    14.8. Italy
    14.9. Netherlands
    14.10. Nigeria
    14.11. Norway
    14.12. Poland
    14.13. Qatar
    14.14. Russia
    14.15. Saudi Arabia
    14.16. South Africa
    14.17. Spain
    14.18. Sweden
    14.19. Switzerland
    14.20. Turkey
    14.21. United Arab Emirates
    14.22. United Kingdom
    15. Competitive Landscape
    15.1. FPNV Positioning Matrix
    15.2. Market Share Analysis, By Key Player
    15.3. Competitive Scenario Analysis, By Key Player
    16. Competitive Portfolio
    16.1. Key Company Profiles
    16.1.1. Algolia, Inc.
    16.1.2. Amazon.com, Inc.
    16.1.3. BloomReach, Inc.
    16.1.4. Bolt Financial, Inc.
    16.1.5. Forter, Ltd.
    16.1.6. Google LLC by Alphabet Inc.
    16.1.7. Intel Corporation
    16.1.8. International Business Machines Corporation
    16.1.9. Microsoft Corporation
    16.1.10. NVIDIA Corporation
    16.1.11. Oracle Corporation
    16.1.12. Salesforce, Inc.
    16.1.13. SAP SE
    16.1.14. Talkdesk, Inc.
    16.1.15. ViSenze Pte. Ltd
    16.2. Key Product Portfolio
    17. Appendix
    17.1. Discussion Guide
    17.2. License & Pricing
    FIGURE 1. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET RESEARCH PROCESS
    FIGURE 2. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, 2023 VS 2030
    FIGURE 3. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, 2018-2030 (USD MILLION)
    FIGURE 4. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2023 VS 2030 (%)
    FIGURE 5. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 6. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET DYNAMICS
    FIGURE 7. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
    FIGURE 8. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 9. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE, 2023 VS 2030 (%)
    FIGURE 10. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 11. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE, 2023 VS 2030 (%)
    FIGURE 12. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 13. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION, 2023 VS 2030 (%)
    FIGURE 14. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 15. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEPLOYMENT MODE, 2023 VS 2030 (%)
    FIGURE 16. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEPLOYMENT MODE, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 17. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
    FIGURE 18. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 19. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 20. AMERICAS ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 21. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STATE, 2023 VS 2030 (%)
    FIGURE 22. UNITED STATES ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 23. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 24. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 25. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 26. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 27. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET, FPNV POSITIONING MATRIX, 2023
    FIGURE 28. ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SHARE, BY KEY PLAYER, 2023

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