Report ID : AMR1004382 | Industries : ICT | Published On :December 2023 | Page Count : 226
Global Artificial Intelligence (AI) in Retail Market Size, Trends and Growth Opportunity, By Technology, By Deployment, By Application, By Region, Cumulative Impact Analysis, and Forecast Till 2030.
The Global Artificial Intelligence (AI) in Retail Market was valued at USD 5.11 billion in 2022 and it is expected to reach USD 36.11 billion in 2030 at a CAGR of 26.52% during the forecast period 2023-2030.
The Russia-Ukraine Conflict, High Inflation, and Cumulative Impact of COVID-19 are anticipated to have a significant long-term impact on the global AI in Retail market. The ongoing research takes into consideration how the pandemic has affected consumer behavior, supply chain disruptions, and governmental initiatives. The research report focuses on the ongoing economic and political upheaval in Eastern Europe led by the Russia-Ukraine Conflict, as well as the potential impacts it may have on the demand-supply balances, pressure on pricing variations, and import-export and trading. The research report additionally addresses the impacts of high inflation on the world economy and provides an overview of the fiscal measures taken to monitor and minimize the effects of high inflation on demand, supply, cash flow, and currency exchange.
Market Segmentation & Coverage:
The global AI in Retail market can be classified into the following segments in order to forecast sales and examine trends:
• Based on Technology, the AI in Retail market is classified into Machine Learning, Natural Language Processing (NLP), Computer Vision, Deep Learning, Predictive Analytics, and Robotic Process Automation (RPA).
• Based on Deployment, the market is classified into On-Premises and Cloud.
• Based on Application, the market is classified into Chatbots and Virtual Assistants, Recommendation Engines, Demand Forecasting, Inventory Management, Price Optimization, Fraud Detection and Prevention, Customer Segmentation, Supply Chain Optimization, Autonomous Checkout, and Others.
• Based on Region, the market is studied across North America, Latin America, Europe, Asia-Pacific, and Middle East & Africa. The North America Americas is further divided into the United States, Canada, and Mexico. Europe is further bifurcated into Germany, UK, France, Russia, Italy, Spain and Rest of Europe. The Asia-Pacific region is further segmented into China, India, Japan, South Korea, Australia, Malaysia, Singapore, New Zealand, and Rest of Asia-Pacific. The countries in the Latin American region include Brazil, Argentina, Peru, Chile, Colombia, Venezuela and Rest of Latin America. The Middle East and African region is classified into Saudi Arabia, UAE, Kuwait, Egypt, Kuwait and Rest of Middle East and Africa.
Competitive Landscape:
The competitive landscape analysis in the AI in Retail market involves a comprehensive assessment of key market players, their market share, product offerings, recent developments, strategies, partnerships, and mergers/acquisitions. This analysis provides valuable insights into the competitive dynamics and helps stakeholders understand the position of each player in the market. A SWOT analysis (Strengths, Weaknesses, Opportunities, and Threats) is conducted for each major player to assess their internal capabilities, vulnerabilities, and external market factors that impact their competitiveness. This analysis helps to identify the competitive advantages and areas for improvement for each player.
Overall, the competitive landscape analysis provides a holistic view of the AI in Retail market, highlighting the key players, their market share, product offerings, recent developments, strategies, and SWOT analysis. This information assists stakeholders in making informed decisions, formulating effective strategies, and identifying potential partnerships or investment opportunities.
Key Players:
The research report thoroughly analyses the most significant recent advancements by the top players and innovation profiles in the global AI in Retail market, comprising: Amazon Web Services, Inc, Microsoft Corporation, Google LLC, IBM Corporation, Oracle Corporation, Salesforce.com, Inc, Sentient Technologies Holdings Limited, Intel Corporation, NVIDIA Corporation, SAP SE, etc.
Regional Analysis:
The analysis includes important geographic areas like North America, Europe, Asia Pacific, and the rest of the world. For important markets within each area, it might also contain analysis at the country level. This analysis throws light on the market dynamics, trends, and opportunities unique to various geographical areas. With the aid of the regional analysis, stakeholders can better understand the regional variations in the market for AI in Retail, allowing them to modify their plans and investments in accordance with the unique market dynamics and opportunities in each region.
The report offers insights on the following guidelines:
1. Market Penetration: Major players offer detailed information on the market.
2. Market Development: Examines market penetration in mature market sectors and provides in-depth information regarding potential new markets.
3. Market Diversification: Contains comprehensive information on newly released products, undeveloped regions, current events, and investments.
4. Market Trends: Provides an in-depth analysis of the impact of COVID-19 cumulatively, Cumulative Impact due to Nearing Economic Downturn, the conflict in Russia and Ukraine, and the high inflation rate.
5. Competitive Assessment & Intelligence: Offers a thorough analysis of the market shares, business plans, goods, certifications, legal permits, patent landscape, and manufacturing prowess of the major companies.
6. Product Development & Innovation: Offers analytical perspectives on emerging technologies, R&D initiatives, and ground-breaking product developments.
The report answers questions such as:
What is the market size and forecast of the Global Artificial Intelligence (AI) in Retail Market?
What are the limiting factors and impact of COVID-19 shaping the Global Artificial Intelligence (AI) in Retail Market during the forecast period?
Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence (AI) in Retail Market?
What is the competitive strategic window for opportunities in the Global Artificial Intelligence (AI) in Retail Market?
What are the technology trends and regulatory frameworks in the Global Artificial Intelligence (AI) in Retail Market?
What is the market share of the leading vendors in the Global Artificial Intelligence (AI) in Retail Market?
What entry strategies and modalities are deemed appropriate for the Global Artificial Intelligence (AI) in Retail Market?
Frequently Asked Questions (FAQ) regarding the Global Artificial Intelligence (AI) in Retail Market:
What is the anticipated size of the global market for Artificial Intelligence (AI) in Retail?
What is the market size for Artificial Intelligence (AI) in Retail globally?
What is the projected size of the global market for Artificial Intelligence (AI) in Retail?
Who are the most prominent companies in the global market for Artificial Intelligence (AI) in Retail?
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Global Artificial Intelligence (AI) in Retail Market
1 Introduction
1.1 Objective of the Study
1.2 Market Definition
1.3 Market Scope
2 Research Methodology
2.1 Data Mining
2.2 Validation
2.3 Primary Interviews
2.4 List of Data Sources
3 Executive Summary
4 Global Artificial Intelligence (AI) in Retail Market Outlook
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.2.4 Cumulative Impact due to Recent Energy Crisis
4.2.5 Cumulative Impact due to Nearing Economic Downturn
4.2.6 Post Covid-19 World Supply & Demand Conditions
4.2.7 Cumulative Impact of Russia-Ukraine Conflict
4.3 Porters Five Force Model
4.4 Value Chain Analysis
5 Global Artificial Intelligence (AI) in Retail Market, By Technology
5.1 Y-o-Y Growth Comparison, By Technology
5.2 Global Artificial Intelligence (AI) in Retail Market Share Analysis, By Technology
5.3 Global Artificial Intelligence (AI) in Retail Market Size and Forecast, By Technology
5.3.1 Machine Learning
5.3.2 Natural Language Processing (NLP)
5.3.3 Computer Vision
5.3.4 Deep Learning
5.3.5 Predictive Analytics
5.3.6 Robotic Process Automation (RPA)
6 Global Artificial Intelligence (AI) in Retail Market, By Deployment
6.1 Y-o-Y Growth Comparison, By Deployment
6.2 Global Artificial Intelligence (AI) in Retail Market Share Analysis, By Deployment
6.3 Global Artificial Intelligence (AI) in Retail Market Size and Forecast, By Deployment
6.3.1 On-Premises
6.3.2 Cloud
7 Global Artificial Intelligence (AI) in Retail Market, By Application
7.1 Y-o-Y Growth Comparison, By Application
7.2 Global Artificial Intelligence (AI) in Retail Market Share Analysis, By Application
7.3 Global Artificial Intelligence (AI) in Retail Market Size and Forecast, By Application
7.3.1 Chatbots and Virtual Assistants
7.3.2 Recommendation Engines
7.3.3 Demand Forecasting
7.3.4 Inventory Management
7.3.5 Price Optimization
7.3.6 Fraud Detection and Prevention
7.3.7 Customer Segmentation
7.3.8 Supply Chain Optimization
7.3.9 Autonomous Checkout
7.3.10 Others
8 Global Artificial Intelligence (AI) in Retail Market, By Region
8.1 Global Artificial Intelligence (AI) in Retail Market Share Analysis, By Region
8.2 Global Artificial Intelligence (AI) in Retail Market Size and Forecast, By Region
8.3 Global Artificial Intelligence (AI) in Retail Market Trends and Forecast, By Region
9 North America Artificial Intelligence (AI) in Retail Market Analysis and Forecast (2023-2030)
9.1 Introduction
9.2 North America Artificial Intelligence (AI) in Retail Market Size and Forecast, By Technology
9.3 North America Artificial Intelligence (AI) in Retail Market Size and Forecast, By Deployment
9.4 North America Artificial Intelligence (AI) in Retail Market Size and Forecast, By Application
9.5 North America Artificial Intelligence (AI) in Retail Market Size and Forecast, By Country
9.5.1 U.S.
9.5.1.1 Market Size and Forecast, By Technology
9.5.1.2 Market Size and Forecast, By Deployment
9.5.1.3 Market Size and Forecast, By Application
9.5.2 Canada
9.5.2.1 Market Size and Forecast, By Technology
9.5.2.2 Market Size and Forecast, By Deployment
9.5.2.3 Market Size and Forecast, By Application
9.5.3 Mexico
9.5.3.1 Market Size and Forecast, By Technology
9.5.3.2 Market Size and Forecast, By Deployment
9.5.3.3 Market Size and Forecast, By Application
10 Europe Artificial Intelligence (AI) in Retail Market Analysis and Forecast (2023-2030)
10.1 Introduction
10.2 Europe Artificial Intelligence (AI) in Retail Market Size and Forecast, By Technology
10.3 Europe Artificial Intelligence (AI) in Retail Market Size and Forecast, By Deployment
10.4 Europe Artificial Intelligence (AI) in Retail Market Size and Forecast, By Application
10.5 Europe Artificial Intelligence (AI) in Retail Market Size and Forecast, By Country
10.5.1 Germany
10.5.1.1 Market Size and Forecast, By Technology
10.5.1.2 Market Size and Forecast, By Deployment
10.5.1.3 Market Size and Forecast, By Application
10.5.2 France
10.5.2.1 Market Size and Forecast, By Technology
10.5.2.2 Market Size and Forecast, By Deployment
10.5.2.3 Market Size and Forecast, By Application
10.5.3 UK
10.5.3.1 Market Size and Forecast, By Technology
10.5.3.2 Market Size and Forecast, By Deployment
10.5.3.3 Market Size and Forecast, By Application
10.5.4 Russia
10.5.4.1 Market Size and Forecast, By Technology
10.5.4.2 Market Size and Forecast, By Deployment
10.5.4.3 Market Size and Forecast, By Application
10.5.5 Italy
10.5.5.1 Market Size and Forecast, By Technology
10.5.5.2 Market Size and Forecast, By Deployment
10.5.5.3 Market Size and Forecast, By Application
10.5.6 Spain
10.5.6.1 Market Size and Forecast, By Technology
10.5.6.2 Market Size and Forecast, By Deployment
10.5.6.3 Market Size and Forecast, By Application
10.5.7 Rest of Europe
10.5.7.1 Market Size and Forecast, By Technology
10.5.7.2 Market Size and Forecast, By Deployment
10.5.7.3 Market Size and Forecast, By Application
11 Asia Pacific Artificial Intelligence (AI) in Retail Market Analysis and Forecast (2023-2030)
11.1 Introduction
11.2 Asia Pacific Artificial Intelligence (AI) in Retail Market Size and Forecast, By Technology
11.3 Asia Pacific Artificial Intelligence (AI) in Retail Market Size and Forecast, By Deployment
11.4 Asia Pacific Artificial Intelligence (AI) in Retail Market Size and Forecast, By Application
11.5 Asia Pacific Artificial Intelligence (AI) in Retail Market Size and Forecast, By Country
11.5.1 China
11.5.1.1 Market Size and Forecast, By Technology
11.5.1.2 Market Size and Forecast, By Deployment
11.5.1.3 Market Size and Forecast, By Application
11.5.2 Japan
11.5.2.1 Market Size and Forecast, By Technology
11.5.2.2 Market Size and Forecast, By Deployment
11.5.2.3 Market Size and Forecast, By Application
11.5.3 India
11.5.3.1 Market Size and Forecast, By Technology
11.5.3.2 Market Size and Forecast, By Deployment
11.5.3.3 Market Size and Forecast, By Application
11.5.4 South Korea
11.5.4.1 Market Size and Forecast, By Technology
11.5.4.2 Market Size and Forecast, By Deployment
11.5.4.3 Market Size and Forecast, By Application
11.5.5 Australia
11.5.5.1 Market Size and Forecast, By Technology
11.5.5.2 Market Size and Forecast, By Deployment
11.5.5.3 Market Size and Forecast, By Application
11.5.6 New Zealand
11.5.6.1 Market Size and Forecast, By Technology
11.5.6.2 Market Size and Forecast, By Deployment
11.5.6.3 Market Size and Forecast, By Application
11.5.7 Singapore
11.5.7.1 Market Size and Forecast, By Technology
11.5.7.2 Market Size and Forecast, By Deployment
11.5.7.3 Market Size and Forecast, By Application
11.5.8 Malaysia
11.5.8.1 Market Size and Forecast, By Technology
11.5.8.2 Market Size and Forecast, By Deployment
11.5.8.3 Market Size and Forecast, By Application
11.5.9 Rest of Asia
11.5.9.1 Market Size and Forecast, By Technology
11.5.9.2 Market Size and Forecast, By Deployment
11.5.9.3 Market Size and Forecast, By Application
12 Latin America Artificial Intelligence (AI) in Retail Market Analysis and Forecast (2023-2030)
12.1 Introduction
12.2 Latin America Artificial Intelligence (AI) in Retail Market Size and Forecast, By Technology
12.3 Latin America Artificial Intelligence (AI) in Retail Market Size and Forecast, By Deployment
12.4 Latin America Artificial Intelligence (AI) in Retail Market Size and Forecast, By Application
12.5 Latin America Artificial Intelligence (AI) in Retail Market Size and Forecast, By Country
12.5.1 Brazil
12.5.1.1 Market Size and Forecast, By Technology
12.5.1.2 Market Size and Forecast, By Deployment
12.5.1.3 Market Size and Forecast, By Application
12.5.2 Argentina
12.5.2.1 Market Size and Forecast, By Technology
12.5.2.2 Market Size and Forecast, By Deployment
12.5.2.3 Market Size and Forecast, By Application
12.5.3 Colombia
12.5.3.1 Market Size and Forecast, By Technology
12.5.3.2 Market Size and Forecast, By Deployment
12.5.3.3 Market Size and Forecast, By Application
12.5.4 Peru
12.5.4.1 Market Size and Forecast, By Technology
12.5.4.2 Market Size and Forecast, By Deployment
12.5.4.3 Market Size and Forecast, By Application
12.5.5 Chile
12.5.5.1 Market Size and Forecast, By Technology
12.5.5.2 Market Size and Forecast, By Deployment
12.5.5.3 Market Size and Forecast, By Application
12.5.6 Venezuela
12.5.6.1 Market Size and Forecast, By Technology
12.5.6.2 Market Size and Forecast, By Deployment
12.5.6.3 Market Size and Forecast, By Application
12.5.7 Rest of Latin America
12.5.7.1 Market Size and Forecast, By Technology
12.5.7.2 Market Size and Forecast, By Deployment
12.5.7.3 Market Size and Forecast, By Application
13 Middle East Artificial Intelligence (AI) in Retail Market Analysis and Forecast (2023-2030)
13.1 Introduction
13.2 Middle East Artificial Intelligence (AI) in Retail Market Size and Forecast, By Technology
13.3 Middle East Artificial Intelligence (AI) in Retail Market Size and Forecast, By Deployment
13.4 Middle East Artificial Intelligence (AI) in Retail Market Size and Forecast, By Application
13.5 Middle East Artificial Intelligence (AI) in Retail Market Size and Forecast, By Country
13.5.1 Saudi Arabia
13.5.1.1 Market Size and Forecast, By Technology
13.5.1.2 Market Size and Forecast, By Deployment
13.5.1.3 Market Size and Forecast, By Application
13.5.2 UAE
13.5.2.1 Market Size and Forecast, By Technology
13.5.2.2 Market Size and Forecast, By Deployment
13.5.2.3 Market Size and Forecast, By Application
13.5.3 Egypt
13.5.3.1 Market Size and Forecast, By Technology
13.5.3.2 Market Size and Forecast, By Deployment
13.5.3.3 Market Size and Forecast, By Application
13.5.4 Kuwait
13.5.4.1 Market Size and Forecast, By Technology
13.5.4.2 Market Size and Forecast, By Deployment
13.5.4.3 Market Size and Forecast, By Application
13.5.5 South Africa
13.5.5.1 Market Size and Forecast, By Technology
13.5.5.2 Market Size and Forecast, By Deployment
13.5.5.3 Market Size and Forecast, By Application
13.5.6 Rest of Middle East & Africa
13.5.6.1 Market Size and Forecast, By Technology
13.5.6.2 Market Size and Forecast, By Deployment
13.5.6.3 Market Size and Forecast, By Application
14 Competitive Analysis
14.1 Competition Dashboard
14.2 Market share Analysis of Top Vendors
14.3 Key Development Strategies
15 Company Profiles
15.1 Amazon Web Services Inc
15.1.2 Offerings
15.1.3 Key Financials
15.1.4 Business Segment & Geographic Overview
15.1.5 Key Market Developments
15.1.6 Key Strategies
15.2 Microsoft Corporation
15.2.1 Overview
15.2.2 Offerings
15.2.3 Key Financials
15.2.4 Business Segment & Geographic Overview
15.2.5 Key Market Developments
15.2.6 Key Strategies
15.3 Google LLC
15.3.1 Overview
15.3.2 Offerings
15.3.3 Key Financials
15.3.4 Business Segment & Geographic Overview
15.3.5 Key Market Developments
15.3.6 Key Strategies
15.4 IBM Corporation
15.4.1 Overview
15.4.1 Overview
15.4.2 Offerings
15.4.3 Key Financials
15.4.4 Business Segment & Geographic Overview
15.4.5 Key Market Developments
15.4.6 Key Strategies
15.5 Oracle Corporation
15.5.1 Overview
15.5.2 Offerings
15.5.3 Key Financials
15.5.4 Business Segment & Geographic Overview
15.5.5 Key Market Developments
15.5.6 Key Strategies
15.6 Salesforce.com, Inc
15.6.1 Overview
15.6.2 Offerings
15.6.3 Key Financials
15.6.4 Business Segment & Geographic Overview
15.6.5 Key Market Developments
15.6.6 Key Strategies
15.7 Sentient Technologies Holdings Limited
15.7.1 Overview
15.7.2 Offerings
15.7.3 Key Financials
15.7.4 Business Segment & Geographic Overview
15.7.5 Key Market Developments
15.7.6 Key Strategies
15.8 Intel Corporation
15.8.1 Overview
15.8.2 Offerings
15.8.3 Key Financials
15.8.4 Business Segment & Geographic Overview
15.8.5 Key Market Developments
15.8.6 Key Strategies
15.9 NVIDIA Corporation
15.9.1 Overview
15.9.2 Offerings
15.9.3 Key Financials
15.9.4 Business Segment & Geographic Overview
15.9.5 Key Market Developments
15.9.6 Key Strategies
15.10 SAP SE
15.10.1 Overview
15.10.2 Offerings
15.10.3 Key Financials
15.10.4 Business Segment & Geographic Overview
15.10.5 Key Market Developments
15.10.6 Key Strategies
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