Artificial Intelligence In Retail Market In-depth Research covering sales outlook, demand forecast & up-to-date key trends
The global Artificial Intelligence In Retail market is expected to grow at a CAGR of 20.6% during the forecast period.
The global Artificial Intelligence In Retail market is estimated to be about 997.1 million US dollars in 2020.
The global Artificial Intelligence In Retail market is estimated to reach 2108.3 million USD by 2026.
The global Artificial Intelligence In Retail market is segmented by company, region (country), type and application. Participants, stakeholders, and other readers in the global Artificial Intelligence In Retail market will be able to gain an advantage as they use reports as a powerful resource.
The global Artificial Intelligence In Retail market is segmented by company, region (country), type and application. Participants, stakeholders, and other readers in the global Artificial Intelligence In Retail market will be able to gain an advantage as they use reports as a powerful resource.
Artificial Intelligence In Retail markets by category
Cloud
On-Premises
Artificial Intelligence In Retail Market by Application (Percentage of Demand)
Predictive Merchandising
Programmatic Advertising
Market Forecasting
In-Store Visual Monitoring and Surveillance
Location-Based Marketing
Others
Who are the leading companies in Artificial Intelligence In Retail market
IBM
Microsoft
Nvidia
Amazon Web Services
Oracle
SAP
Intel
Sentient Technologies
Salesforce
Visenze
Artificial Intelligence In Retail markets by region:
In North America
In Latin America
Europe
The Asia-pacific
Middle East and Africa (MEA)
What are the main countries covered
The United States
Canada
Germany
France
UK
Italy
Russia
China
Japan
Korea
Southeast Asia
India
Australia
Brazil
Mexico
Argentina
Chile
Colombia
Egypt
Saudi Arabia
United Arab Emirates
Nigeria
South Africa
Which is the most profitable market
Among regions, North America/Europe/Asia Pacific accounted for the largest share of global personalized beauty equipment as rising consumer incomes led to increased spending at Artificial Intelligence In Retail.
What methodology did you follow in your research
This study was conducted by our expert analysts through a combination of primary and secondary studies. The methodology we follow includes a demand-side assessment of the market and triangulation of this through supply-side analysis. The methodology is based on the use of standard market structures, methods, and definitions.
Who were the primary study respondents
We talk to stakeholders across the spectrum. Including C-level executives, distributors, product manufacturers, industry experts, etc.
What are the sources of secondary research
We conduct extensive secondary studies using proprietary databases, paid databases, and information available in the public domain. We refer to industry associations, company press releases, annual reports, investor presentations and research papers.
1. Introduction
1.1 Definition of the Market
1.2 Research Purpose
1.3 Scope of the Study
1.4 Stakeholders
1.5 Geography Coverage
1.6 Currency Under Consideration
1.7 Consumption Units
1.8 Review Cycle
2 Global Market Overview
2.1 Global Artificial Intelligence In Retail Market Size and Growth Forecast 2014-2026
2.2 Global Artificial Intelligence In Retail Market Size by Region 2014-2026
2.3 Artificial Intelligence In Retail Gross Margin in Different Region 2014-2021
2.4 Global Artificial Intelligence In Retail Market by Major Companies
2.1 Global Artificial Intelligence In Retail Revenue and Market Share by Vendors (2016-2021)
2.2 Global Artificial Intelligence In Retail Industry Concentration Ratio (CR5 and HHI)
2.3 Top 5 Artificial Intelligence In Retail Vendors Market Share
2.4 Top 10 Artificial Intelligence In Retail Vendors Market Share
3 Global Artificial Intelligence In Retail Market by Type
3.1 Global Artificial Intelligence In Retail Market Size and Growth Rate Segment by Types from 2014-2021
3.2 Brief Introduction of Different Types
3.2.1 Cloud
3.2.2 On-Premises
4 Global Artificial Intelligence In Retail Market by Application
4.1 Global Artificial Intelligence In Retail Market Size and Growth Rate Segment by Applications from 2014-2021
4.2 Brief Introduction of Different Applications
4.2.1 Predictive Merchandising
4.2.2 Programmatic Advertising
4.2.3 Market Forecasting
4.2.4 In-Store Visual Monitoring and Surveillance
4.2.5 Location-Based Marketing
4.2.6 Others
5 North America Artificial Intelligence In Retail Market Value and Segmentation (by Type, Application, Countries and Participants)
5.1 North America Artificial Intelligence In Retail Value ($) from 2014-2021
5.2 North America Artificial Intelligence In Retail Market Value ($) and Growth (%) by Type from 2014-2021
5.3 North America Artificial Intelligence In Retail Market Value ($) and Growth (%) by Application from 2014-2021
5.4 North America Artificial Intelligence In Retail Market Value ($) and Growth (%) by Countries from 2014-2021
5.4.1 The United States
5.4.2 Canada
5.5 Top North America Artificial Intelligence In Retail Participants Value ($) and Market Share (%) in 2020
6 Europe Artificial Intelligence In Retail Market Value and Segmentation (by Type, Application, Countries and Participants)
6.1 Europe Artificial Intelligence In Retail Value ($) from 2014-2021
6.2 Europe Artificial Intelligence In Retail Market Value ($) and Growth (%) by Type from 2014-2021
6.3 Europe Artificial Intelligence In Retail Market Value ($) and Growth (%) by Application from 2014-2021
6.4 Europe Artificial Intelligence In Retail Market Value ($) and Growth (%) by Countries from 2014-2021
6.4.1 Germany
6.4.2 France
6.4.3 UK
6.4.4 Italy
6.4.5 Russia
…
6.5 Top Europe Artificial Intelligence In Retail Participants Value ($) and Market Share (%) in 2020
7 Asia-Pacific Artificial Intelligence In Retail Market Value and Segmentation (by Type, Application, Countries and Participants)
7.1 Asia-Pacific Artificial Intelligence In Retail Value ($) from 2014-2021
7.2 Asia-Pacific Artificial Intelligence In Retail Market Value ($) and Growth (%) by Type from 2014-2021
7.3 Asia-Pacific Artificial Intelligence In Retail Market Value ($) and Growth (%) by Application from 2014-2021
7.4 Asia-Pacific Artificial Intelligence In Retail Market Value ($) and Growth (%) by Countries from 2014-2021
7.4.1 China
7.4.2 Japan
7.4.3 Korea
7.4.4 Southeast Asia
7.4.5 India
7.4.6 Australia
…
7.5 Top Asia-Pacific Artificial Intelligence In Retail Participants Value ($) and Market Share (%) in 2020
8 Latin America Artificial Intelligence In Retail Market Value and Segmentation (by Type, Application, Countries and Participants)
8.1 Latin America Artificial Intelligence In Retail Value ($) from 2014-2021
8.2 Latin America Artificial Intelligence In Retail Market Value ($) and Growth (%) by Type from 2014-2021
8.3 Latin America Artificial Intelligence In Retail Market Value ($) and Growth (%) by Application from 2014-2021
8.4 Latin America Artificial Intelligence In Retail Market Value ($) and Growth (%) by Countries from 2014-2021
8.4.1 Brazil
8.4.2 Mexico
8.4.3 Argentina
8.4.4 Chile
8.4.5 Colombia
…
8.5 Top Latin America Artificial Intelligence In Retail Participants Value ($) and Market Share (%) in 2020
9 Middle East & Africa Artificial Intelligence In Retail Market Value and Segmentation (by Type, Application, Countries and Participants)
9.1 Middle East & Africa Artificial Intelligence In Retail Value ($) from 2014-2021
9.2 Middle East & Africa Artificial Intelligence In Retail Market Value ($) and Growth (%) by Type from 2014-2021
9.3 Middle East & Africa Artificial Intelligence In Retail Market Value ($) and Growth (%) by Application from 2014-2021
9.4 Middle East & Africa Artificial Intelligence In Retail Market Value ($) and Growth (%) by Countries from 2014-2021
9.4.1 Egypt
9.4.2 Saudi Arabia
9.4.3 United Arab Emirates
9.4.4 Nigeria
9.4.5 South Africa
…
9.5 Top Middle East & Africa Artificial Intelligence In Retail Participants Value ($) and Market Share (%) in 2020
10. Global Level Competitive Intelligence – Company Profiles
10.1 IBM
10.1.1 IBM Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.1.2 IBM Value, Gross and Growth Rate from 2014-2021
10.2 Microsoft
10.2.1 Microsoft Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.2.2 Microsoft Value, Gross and Growth Rate from 2014-2021
10.3 Nvidia
10.3.1 Nvidia Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.3.2 Nvidia Value, Gross and Growth Rate from 2014-2021
10.4 Amazon Web Services
10.4.1 Amazon Web Services Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.4.2 Amazon Web Services Value, Gross and Growth Rate from 2014-2021
10.5 Oracle
10.5.1 Oracle Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.5.2 Oracle Value, Gross and Growth Rate from 2014-2021
10.6 SAP
10.6.1 SAP Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.6.2 SAP Value, Gross and Growth Rate from 2014-2021
10.7 Intel
10.7.1 Intel Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.7.2 Intel Value, Gross and Growth Rate from 2014-2021
10.8 Google
10.8.1 Google Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.8.2 Google Value, Gross and Growth Rate from 2014-2021
10.9 Sentient Technologies
10.9.1 Sentient Technologies Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.9.2 Sentient Technologies Value, Gross and Growth Rate from 2014-2021
10.10 Salesforce
10.10.1 Salesforce Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.10.2 Salesforce Value, Gross and Growth Rate from 2014-2021
10.11 Visenze
10.11.1 Visenze Company Profile (Major Business, Plants Distribution, Sales Region, Contact Information)
10.11.2 Visenze Value, Gross and Growth Rate from 2014-2021
11. Market Dynamics
11.1 Driving Factors
11.1.1 Rising Demand in one or More of the Following Regions: North America, Europe, Asia-Pacific, Latin America, Middle East & Africa
11.1.2 Increasing Use of Artificial Intelligence In Retail by Different End-User/Applications
11.2 Restraints and Challenges in the Market
11.3 Opportunities
12. Future Forecast of Global Artificial Intelligence In Retail Market from 2021-2026
12.1 Future Forecast of Global Artificial Intelligence In Retail Market from 2021-2026 Segment by Regions
12.2 Future Forecast of Global Artificial Intelligence In Retail Market from 2021-2026 Segment by Type
12.3 Future Forecast of Global Artificial Intelligence In Retail Market from 2021-2026 Segment by Application
13. Investment Analysis
13.1 Fundamental Analysis (Porter's Five Forces Analysis)
13.2 Technical Preparation Analysis
13.3 Risk Evaluating Analysis
13.4 Estimated Investment Pay-Back Period
14 Research Methodology
14.1 Research Data
14.1.1 Secondary Data
14.1.2 Primary Data
14.2 Market Size Estimation
14.2.1 Bottom-Up Approach
14.2.2 Top-Down Approach (Involves time, Space, and Persons)
14.3 Data Triangulation
14.4 Assumptions
14.5 Hypothesis of this Research, Clear, specific, and testable statement of this research
14.6 Limitations of Our Study
14.7 Scene Based Modeling
14.8 Covid-19 Impact/Evaluation
15 Disclaimer
Methodology/Research Approach
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.Research Programs/Design
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Market Size Estimation
Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).
The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.
Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.
All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report
The following figure shows an illustrative representation of the overall market size estimation process used for this study.
Market Breakdown and Data Triangulation
After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.
Data Source
Secondary Sources
Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.
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Primary Sources
In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.
The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.
Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.
Key Executives Interviewed
Key Data Information from Primary Sources
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