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Artificial Intelligence in Retail Market Trends and Forecast

 
The future of artificial intelligence in the global retail market looks promising with opportunities in the predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring and surveillance, and location-based marketing applications. The global retail market in terms of artificial intelligence usage is expected to reach an estimated $3.2 billion by 2028 with a CAGR of 22.7% from 2023 to 2028. The major drivers for this market are the increasing use of AI in the retail industry to take the benefits of potential business opportunities along with growing retailer's efforts to keep customers engaged and increasing requirement for monitoring and surveillance at physical stores.
 
Artificial Intelligence in Retail Market
A more than 150-page report is developed to help in your business decisions. A sample figure with some insights is shown below. 
 
 

Artificial Intelligence in Retail Market by Segment

The study includes trends and forecast for artificial intelligence in the global retail market by component, technology, sales channel, application, and region, as follows:

Artificial Intelligence in Retail Market by Component [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Solution
  • Service

Artificial Intelligence in Retail Market by Technology [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Image and Video Analytics
  • Machine Learning
  • Natural Language Processing
  • Swarm Intelligence
  • Chatbots

Artificial Intelligence in Retail Market by Sales Channel [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Brick and Motor
  • Omnichannel
  • Pure-play Online Retailers

Artificial Intelligence in Retail Market by Application [Value ($B) Shipment Analysis from 2017 to 2028]:

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

Artificial Intelligence in Retail Market by Region [Value ($B) Shipment Analysis from 2017 to 2028]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Artificial Intelligence Companies in Retail Market

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies, artificial intelligence companies in the global retail market cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the artificial intelligence companies in the retail market profiled in this report include- 

Artificial Intelligence in Retail Market Insights

  • Lucintel forecasts that solution will remain the larger component segment over the forecast period due to the increasing use of automated technology in response to management issues in the retail industry.
  • Predictive merchandising is expected to remain the largest application segment due to increasing use of this technology to evaluate customer buying behavior and motivation factor.
  • North America will remain the largest region due to the growing concern among local retailers about learning about customer preferences and growing adoption and investment in AI-based technologies by start-ups and SMEs in the region.

Features of the Artificial Intelligence in Retail Market

  • Market Size Estimates: Artificial intelligence in retail market size estimation in terms of value ($B)
  • Trend And Forecast Analysis: Market trends (2017-2022) and forecast (2023-2028) by various segments and regions.
  • Segmentation Analysis: Artificial intelligence in retail market size by various segments, such as by component, technology, sales channel, application, and region
  • Regional Analysis: Artificial intelligence in retail market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
  • Growth Opportunities: Analysis on growth opportunities in different components, technology, sales channels, applications, and regions for the artificial intelligence in retail market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape for artificial intelligence in retail market.
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the retail market size in terms of artificial intelligence usage?
Answer: The global retail market in terms of artificial intelligence usage is expected to reach an estimated $3.2 billion by 2028.
Q2. What is the growth forecast for artificial intelligence in retail market?
Answer: The global artificial intelligence in retail market is expected to grow with a CAGR of 22.7% from 2023 to 2028.
Q3. What are the major drivers influencing the growth of artificial intelligence in the retail market?
Answer: The major drivers for this market are the increasing use of AI in the retail industry to take the benefits of potential business opportunities along with growing retailer's efforts to keep customers engaged and increasing requirement for monitoring and surveillance at physical stores.
Q4. What are the major segments for artificial intelligence in retail market?
Answer: The future of artificial intelligence in the retail market looks promising with opportunities in the predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring and surveillance, and location-based marketing applications.
Q5. Who are the key artificial intelligence companies in retail market?
Answer: Some of the key artificial intelligence companies in the retail market are as follows:
  • IBM
  • Microsoft
  • SAP SE
  • Amazon Web Services
  • Oracle
Q6. Which retail segment in terms of artificial intelligence usage will be the largest in the future?
Answer: Lucintel forecasts that solution will remain the larger component segment over the forecast period due to the increasing use of automated technology in response to management issues in the retail industry.
Q7. In artificial intelligence in retail market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region due to the growing concern among local retailers about learning about customer preferences and growing adoption and investment in AI-based technologies by start-ups and SMEs in the region.
Q8. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% Customization Without any Additional Cost.
 
 

This report answers following 11 key questions

Q.1. What are some of the most promising, high-growth opportunities for the artificial intelligence in retail market by component (solution and service), technology (image and video analytics, machine learning, natural language processing, swarm intelligence, and chatbots), sales channel (brick and motor, omnichannel, and pure-play online retailers), application (predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring and surveillance, location-based marketing, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

For any questions related to artificial intelligence in the global retail market or related to artificial intelligence in the global retail companies, artificial intelligence in the global retail market size, artificial intelligence in the global retail market share, artificial intelligence in the global retail analysis, artificial intelligence in the global retail market growth, artificial intelligence in the global retail market research, write Lucintel analyst at email: helpdesk@lucintel.com we will be glad to get back to you soon.
Table of Contents
 
1. Executive Summary

2. Artificial Intelligence in the Global Retail Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2017 to 2028
3.1: Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
3.2: Artificial Intelligence in the Global Retail Market Trends (2017-2022) and Forecast (2023-2028)
3.3: Artificial Intelligence in the Global Retail Market by Component
3.3.1: Solution 
3.3.2: Service
3.4: Artificial Intelligence in the Global Retail Market by Technology
3.4.1: Image and Video Analytics
3.4.2: Machine Learning
3.4.3: Natural Language Processing
3.4.4: Swarm Intelligence 
3.4.5: Chatbots
3.5: Artificial Intelligence in the Global Retail Market by Sales Channel
3.5.1: Bricks and Motors
3.5.2: Omnichannels 
3.5.3: Pure-Play Online Retailers
3.6: Artificial Intelligence in the Global Retail Market by Application
3.6.1: Predictive Merchandising
3.6.2: Programmatic Advertising
3.6.3: Market Forecasting
3.6.4: In-Store Visual Monitoring and Surveillance
3.6.5: Location-Based Marketing 
3.6.6: Others

4. Market Trends and Forecast Analysis by Region from 2017 to 2028
4.1: Artificial Intelligence in the Global Retail Market by Region
4.2: Artificial Intelligence in the North American Retail Market
4.2.1: Artificial Intelligence in the North American Retail Market by Component: Solution and Service
4.2.2: Artificial Intelligence in the North American Retail Market by Application:  Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others
4.3: Artificial Intelligence in the European Retail Market
4.3.1: Artificial Intelligence in the European Retail Market by Component: Solution and Service
4.3.2: Artificial Intelligence in the European Retail Market by Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others
4.4: Artificial Intelligence in the APAC Retail Market 
4.4.1: Artificial Intelligence in the APAC Retail Market by Component: Solution and Service
4.4.2: Artificial Intelligence in the APAC Retail Market by Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others
4.5: Artificial Intelligence in the ROW Retail Market 
4.5.1: Artificial Intelligence in the ROW Retail Market by Component: Solution and Service
4.5.2: Artificial Intelligence in the ROW Retail Market by Application: Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others

5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis

6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Component
6.1.2: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Technology
6.1.3: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Sales Channel
6.1.4: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Application
6.1.5: Growth Opportunities for Artificial Intelligence in the Global Retail Market by Region
6.2: Emerging Trends in Artificial Intelligence in the Global Retail Market 
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Retail Market in terms of Artificial Intelligence Usage
6.3.3: Mergers, Acquisitions, and Joint Ventures in Artificial Intelligence in the Global Retail Market 
6.3.4: Certification and Licensing

7. Company Profiles of Leading Players
7.1: IBM
7.2: Microsoft
7.3: SAP SE
7.4: Amazon Web Services 
7:5: Oracle
 
.

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150-page report
Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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