Artificial Intelligence in Retail Market is forecasted to value over USD 8.9 billion by 2028 end and register a CAGR of 37.3% from the forecast period 2021-2028.

As per the market analysis performed by research analysts at Future Market Analytics, the adoption of Artificial Intelligence and Machine Learning (ML) by organizations across the world has risen and it is predicted that this rate of adoption shall increase in future as well. This is due to the advantages AI and machine learning offer in risk assessment, business analytics, research, and development. Professionals are also pushing for a safer and transparent implementation of this technology which shall further propel its growth. The integration of AI and IoT can be beneficial for the industrial as well as home automation sector, thus accelerating the growth of the AI and ML industry. AI would soon help understand the functionalities of invasive bacteria and viruses and aid in curing terminal diseases like cancer thus having the potential of limiting the implementation of age-old remedies like chemotherapy.

The assessment of Artificial Intelligence in Retail Market is performed considering various factors, like for instance, the business expansion policies of key players, competitive analysis of the progress of new entrants and emerging players, the revenue, financial, and opportunity analysis of market players. The Artificial Intelligence in Retail Market is also analyzed based on the regional segmentation, product type or technique, end-user spectrum, etc. This research will be conducted with the implementation of the latest market research methodologies which shall help organizations comprehend the overall market scenario and strategize accordingly.

Major players included in the Artificial Intelligence in Retail Market:

IBM
Microsoft
Nvidia
Amazon Web Services
Oracle
SAP
Intel
Google
Sentient Technologies
Salesforce
ViSenze
Plexure Ltd
Conversica Inc.
BloomReach Inc.
Findmine Inc.

(Note: The list of the major players will be updated with the latest market scenario and trends)

Artificial Intelligence in Retail Market Segmentation:
By Type

Online Retail
Offline Retail

By Technology

Machine Learning and Deep Learning
- Facial Recognition
- Emotion Detection
Natural Language Processing
Others
- Analytics
- Process Automation

By Deployment Mode

Cloud
On-Premises

By Solution

Product Recommendation and Planning
Customer Relationship Management
Visual Search
Virtual Assistant
Price Optimization
Payment Services Management
Supply Chain Management and Demand Planning
Others

By Service

Professional Services
Managed Services

By Application

Predictive Merchandising
Programmatic Advertising
Market Forecasting
In-Store Visual Monitoring and Surveillance
Location-Based Marketing

By Region

North America
Europe
Asia-Pacific
Latin America
Middle East and Africa

Artificial Intelligence in Retail Market Competitive Analysis:

Tier-1 Players
Tier-2 Players
Emerging Players
New Entrants

Future Market Analytics Focus Points:

SWOT Analysis
Key Market Trends
Key Data -Points Affecting Market Growth
Revenue and Forecast Analysis
Growth Opportunities For New Entrants and Emerging Players
Key Player and Market Growth Matrix

Objectives of the Study:

To provide a comprehensive analysis on the Artificial Intelligence in Retail Market by type, by technology, by deployment mode, by solution, by service, by application and by region
To cater extensive insights on factors influencing the market growth (drivers, restraints, industry-specific restraints, business expansion opportunities)
To anticipate and analyse the market size expansion in key regions- North America, Europe, Asia Pacific, Latin America and Middle East and Africa
To record and evaluate competitive landscape mapping- strategic alliances and mergers, technological advancements and product launches, revenue and financial analysis of key market players

In case of any requirements or changes to the current table of content please contact us at:enquiry@futuremarketanalytics.com

Description

1. Market Introduction
    1.1. Objectives of the Study
    1.2. Market Definition
    1.3. Market Scope
         1.3.1 Years Considered for the Study
         1.3.2 Market Covered
    1.4. Currency
    1.5. Limitations
    1.6. Stakeholders

2. Research Methodology
    2.1. Research Data
         2.1.1. Secondary Data
                2.1.1.1. Key Data from Secondary Sources
         2.1.2. Primary Data
                2.1.2.1. Key Data from Primary Sources
    2.2. Market Size Estimation
    2.3. Market Breakdown and Data Triangulation
    2.4. Assumptions for the Study

3. Executive Summary
    3.1. Market Outlook
    3.2. Segment Outlook
    3.3. Competitive Insights

4. Market Variables, Trends & Scope
    4.1. Market Lineage Outlook
    4.2. Penetration and Growth Prospect Mapping
    4.3. Industry Value Chain Analysis
    4.4. Cost Analysis Breakdown
    4.5. Technology Overview
    4.6. Regulatory Framework on Country Level
         4.6.1. Reimbursement Framework
         4.6.2. Standards and Compliances

5. Market Overview
    5.1. Market Dynamics
         5.1.1. Market Driver Analysis
         5.1.2. Market Restraint Analysis
         5.1.3. Industry Challenges

6. Market Analysis Tools
    6.1. Industry Analysis – Porters
         6.1.1. Supplier Power
         6.1.2. Buyer Power
         6.1.3. Substitution Threat
         6.1.4. Threat from new entrants
         6.1.5. Competitive Rivalry
    6.2. Pestel Analysis
         6.2.1. Political Landscape
         6.2.2. Environmental Landscape
         6.2.3. Social landscape
         6.2.4. Technology landscape
         6.2.5. Legal Landscape

7. Artificial Intelligence in Retail Market, By Type Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
7.1. Online Retail
7.2. Offline Retail

8. Artificial Intelligence in Retail Market, By Technology Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    8.1. Machine Learning and Deep Learning
         8.1.1. Facial Recognition
         8.1.2. Emotion Detection
    8.2. Natural Language Processing
    8.3. Others
         8.3.1. Analytics
         8.3.2. Process Automation

9. Artificial Intelligence in Retail Market, By Deployment Mode Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
9.1. Cloud
9.2. On-Premises

10. Artificial Intelligence in Retail Market, By Solution Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    10.1. Product Recommendation and Planning
    10.2. Customer Relationship Management
    10.3. Visual Search
    10.4. Virtual Assistant
    10.5. Price Optimization
    10.6. Payment Services Management
    10.7. Supply Chain Management and Demand Planning
    10.8. Others

11. Artificial Intelligence in Retail Market, By Service Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
11.1. Professional Services
11.2. Managed Services

12. Artificial Intelligence in Retail Market, By Application Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    12.1. Predictive Merchandising
    12.2. Programmatic Advertising
    12.3. Market Forecasting
    12.4. In-Store Visual Monitoring and Surveillance
    12.5. Location-Based Marketing

13. North America Market Analysis 2016-2020 and Forecast 20212028 (USD Million)
    13.1. Introduction
    13.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         13.2.1. U.S.
         13.2.2. Canada
         13.2.3. Mexico
         13.2.4. Rest of North America
    13.3. Market Size (USD Mn) Forecast for North America 2021-2028

14. Latin America Market Analysis 2016-2020 and Forecast 20212028 (USD Million)
    14.1. Introduction
    14.2. Regional Market Trends
    14.3. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         14.3.1. Brazil
         14.3.2. Venezuela
         14.3.3. Argentina
         14.3.4. Rest of Latin America
    14.4 Market Size (USD Mn) Forecast for Latin America 2021-2028

15. Europe Market Analysis 2016-2020 and Forecast 20212028 (USD Million)
    15.1. Introduction
    15.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         15.2.1. Germany
         15.2.2. U.K
         15.2.3. France
         15.2.4. Italy
         15.2.5. Switzerland
         15.2.6. Spain
         15.2.7. Russia
         15.2.8. Poland
         15.2.9. Rest of Europe
    15.3. Market Size (USD Mn) Forecast for Europe 2021-2028

16. Asia Pacific Market Analysis 2016-2020 and Forecast 20212028 (USD Million)
    16.1. Introduction
    16.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         16.2.1. Japan
         16.2.2. China
         16.2.3. Singapore
         16.2.4. Korea
         16.2.5. India
         16.2.6. Australia and New Zealand
         16.2.7. ASEAN
         16.2.8. Rest of Asia Pacific
    16.3. Market Size (USD Mn) Forecast for Asia Pacific 2021-2028

17. Middle East and Africa Market Analysis 2016-2020 and Forecast 20212028 (USD Million)
    17.1. Introduction
    17.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         17.2.1. UAE
         17.2.2. South Africa
         17.2.3. Egypt
         17.2.4. Saudi Arabia
         17.2.5. Rest of MEA
    17.3. Market Size (USD Mn) Forecast for MEA 2021-2028

18. Company Profiles (Competition Dashboard, Competitors Deep Dive, Product Type and Technology Portfolio, Financial Layouts)
    18.1. IBM
         18.1.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.1.2. Product Portfolio
         18.1.3. SWOT Analysis
         18.1.4. Financial Overview
         18.1.5. Strategic Overview
    18.2. Microsoft
         18.2.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.2.2. Product Portfolio
         18.2.3. SWOT Analysis
         18.2.4. Financial Overview
         18.2.5. Strategic Overview
    18.3. Nvidia
         18.3.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.3.2. Product Portfolio
         18.3.3. SWOT Analysis
         18.3.4. Financial Overview
         18.3.5. Strategic Overview
    18.4. Amazon Web Services
         18.4.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.4.2. Product Portfolio
         18.4.3. SWOT Analysis
         18.4.4. Financial Overview
         18.4.5. Strategic Overview
    18.5. Oracle
         18.5.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.5.2. Product Portfolio
         18.5.3. SWOT Analysis
         18.5.4. Financial Overview
         18.5.5. Strategic Overview
    18.6. SAP
         18.6.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.6.2. Product Portfolio
         18.6.3. SWOT Analysis
         18.6.4. Financial Overview
         18.6.5. Strategic Overview
    18.7. Intel
         18.7.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.7.2. Product Portfolio
         18.7.3. SWOT Analysis
         18.7.4. Financial Overview
         18.7.5. Strategic Overview
    18.8. Google
         18.8.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.8.2. Product Portfolio
         18.8.3. SWOT Analysis
         18.8.4. Financial Overview
         18.8.5. Strategic Overview
    18.9. Sentient Technologies
         18.9.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.9.2. Product Portfolio
         18.9.3. SWOT Analysis
         18.9.4. Financial Overview
         18.9.5. Strategic Overview
    18.10. Salesforce
         18.10.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.10.2. Product Portfolio
         18.10.3. SWOT Analysis
         18.10.4. Financial Overview
         18.10.5. Strategic Overview
    18.11. ViSenze
         18.11.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.11.2. Product Portfolio
         18.11.3. SWOT Analysis
         18.11.4. Financial Overview
         18.11.5. Strategic Overview
    18.12. Plexure Ltd
         18.12.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.12.2. Product Portfolio
         18.12.3. SWOT Analysis
         18.12.4. Financial Overview
         18.12.5. Strategic Overview
    18.13. Conversica Inc.
         18.13.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.13.2. Product Portfolio
         18.13.3. SWOT Analysis
         18.13.4. Financial Overview
         18.13.5. Strategic Overview
    18.14. BloomReach Inc.
         18.14.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.14.2. Product Portfolio
         18.14.3. SWOT Analysis
         18.14.4. Financial Overview
         18.14.5. Strategic Overview
    18.15. Findmine Inc.
         18.15.1. Company Overview (HQ, Business Segments, Employee Strength)
         18.15.2. Product Portfolio
         18.15.3. SWOT Analysis
         18.15.4. Financial Overview
         18.15.5. Strategic Overview

19. Impact of COVID-19
    19.1. Positive influence on the industry
    19.2. The financial disruption of the sector
    19.3. Impact of COVID-19 on emerging companies
    19.4. Significant mandates in the industry regulations initiated by administrations
    19.5. The overall economic slowdown of the developing and developed nations

20. Competitive Intelligence and Competitive Matrix
20.1. Competitive Intelligence
20.2. Competitive Matrix

21. Major Deals and Strategic Alliances Analysis
    21.1. Joint ventures
    21.2. Mergers and acquisitions
    21.3. Licensing and partnerships
    21.4. Technology Collaborations
    21.5. Strategic Divestments
    21.6. Market Entry Strategies

22. Relevant Case Studies and Latest News Updates

23. Key Market Takeaway Points from the Market Analysts at Future Market Analytics

Artificial Intelligence in Retail Market By Type, By Technology, By Deployment Mode, By Solution, By Service, By Application and By Region: Industry Analysis, Market Share, Revenue Opportunity, Competitive Analysis and Forecast 2021-2028

Artificial Intelligence in Retail Market is forecasted to value over USD 8.9 billion by 2028 end and register a CAGR of 37.3% from the forecast period 2021-2028.

Description

Artificial Intelligence in Retail Market By Type, By Technology, By Deployment Mode, By Solution, By Service, By Application and By Region: Industry Analysis, Market Share, Revenue Opportunity, Competitive Analysis and Forecast 2021-2028

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