Artificial Intelligence in Retail Market
Artificial Intelligence in Retail Market - Global Industry Assessment & Forecast
Segments Covered
- By Type Online, Offline
- By Technology Machine Learning and Deep Learning, Natural Language Processing, Others (Analytics and Process Automation)
- 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 (Website and Content Optimization, Space Planning, Fraud Detection, and Franchise Management)
- By Service Professional Services, Managed Services
- By Deployment Model Cloud, On-Premises
- By Application Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Other (Real-Time Pricing and Incentives, and Real-Time Product Targeting)
Snapshot
Base Year: | 2022 |
Forecast Years: | 2023 - 2030 |
Historical Years: | 2017 - 2021 |
Revenue 2022: | USD 3931.04 Million |
Revenue 2030: | USD 40379.07 Million |
Revenue CAGR (2023 - 2030): | 33.80% |
Fastest Growing Region (2023 - 2030) | Asia Pacific |
Largest Region (2022): | North America |
Customization Offered
- Cross-segment Market Size and Analysis for Mentioned Segments
- Additional Company Profiles (Upto 5 With No Cost)
- Additional Countries (Apart From Mentioned Countries)
- Country/Region-specific Report
- Go To Market Strategy
- Region Specific Market Dynamics
- Region Level Market Share
- Import Export Analysis
- Production Analysis
- Others Request Customization Speak To Analyst
Research Methodology: Artificial Intelligence in Retail Market by Type by Technology by Solution by Service by Deployment Model by Application - Global Market Assessment, 2021 - 2028
Secondary Research
Primary Research:
The next stage involves the primary research conducted to gather further information and revalidate the data collected from the secondary research. Moreover, primary research is also conducted to identify key players in the market and to gather their market-specific financial information. A typical primary interview fulfills the following data requirements:
- First-hand information global market size, regional and segmental trends, competitive landscape
- Validate and authorization of secondary research outcomes and findings
- Further data collection and expertise development & market understandings
Data Triangulation and Market Size Estimations
After the determination of the overall market size through secondary and primary research, the market is divided into various segments and sub-segments. Moreover, top-down and bottom-up approaches were used to derive and estimate market numbers for mentioned segments/sub-segments in the market. During the data triangulation process, the data was analyzed by employing various data models and statistical techniques to arrive at exact statistics and market size for each segment/sub-segment of the market. The data is analyzed and triangulated by considering all the key market impacting factors from both supply and demand side of Artificial Intelligence in Retail market.
FAQ
Frequently Asked Question
What is the global demand for Artificial Intelligence in Retail in terms of revenue?
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The global Artificial Intelligence in Retail valued at USD 3931.04 Million in 2022 and is expected to reach USD 40379.07 Million in 2030 growing at a CAGR of 33.80%.
Which are the prominent players in the market?
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The prominent players in the market are IBM (US), Microsoft (US), Amazon Web Services (US), Oracle (US), SAP (Germany), Intel (US), NVIDIA (US), Google (US), Sentient technologies (US), Salesforce (US), and ViSenze (Singapore)".
At what CAGR is the market projected to grow within the forecast period?
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The market is project to grow at a CAGR of 33.80% between 2023 and 2030.
What are the driving factors fueling the growth of the market.
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The driving factors of the Artificial Intelligence in Retail include
- rising adoption of multichannel retailing strategy, the demand of enterprises for streamlining business process, and increasing requirement to enhance customers experience in order to take the advantage of market dynamics
Which region accounted for the largest share in the market?
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North America was the leading regional segment of the Artificial Intelligence in Retail in 2022.