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Artificial Intelligence in Retail Market

Artificial Intelligence in Retail Market

Artificial Intelligence in Retail Market - Global Industry Assessment & Forecast

Number Of Pages # Pages:

138

Base Year:

2022

Date

Mar - 2022

Format:

PDF XLS PPT

Report Code:

VMR-1362

Segments Covered
  • By Type By Type Online, Offline
  • By Technology By Technology Machine Learning and Deep Learning, Natural Language Processing, Others (Analytics and Process Automation)
  • By Solution 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 By Service Professional Services, Managed Services
  • By Deployment Model By Deployment Model Cloud, On-Premises
  • By Application 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 YearBase Year: 2022
Forecast YearsForecast Years: 2023 - 2030
Historical YearsHistorical Years: 2017 - 2021
Revenue 2022Revenue 2022: USD 3931.04 Million
Revenue 2030Revenue 2030: USD 40379.07 Million
Revenue CAGRRevenue CAGR (2023 - 2030): 33.80%
Fastest Growing Region Fastest Growing Region (2023 - 2030) Asia Pacific
Largest Region Largest Region (2022): North America
Customization Offered
  • Cross-segment Market Size and Analysis for Mentioned Segments Cross-segment Market Size and Analysis for Mentioned Segments
  • Additional Company Profiles (Upto 5 With No Cost) Additional Company Profiles (Upto 5 With No Cost)
  • Additional Countries (Apart From Mentioned Countries) Additional Countries (Apart From Mentioned Countries)
  • Country/Region-specific Report Country/Region-specific Report
  • Go To Market Strategy Go To Market Strategy
  • Region Specific Market Dynamics Region Specific Market Dynamics
  • Region Level Market Share Region Level Market Share
  • Import Export Analysis Import Export Analysis
  • Production Analysis Production Analysis
  • Other 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
  • 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%.

  • 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)".

  • The market is project to grow at a CAGR of 33.80% between 2023 and 2030.

  • 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

  • North America was the leading regional segment of the Artificial Intelligence in Retail in 2022.