Artificial Intelligence in Retail Market Forecast; Top Share, Industry Trends to 2026
Artificial Intelligence in Retail Market Forecast Highlights
Straits Research has published a new report titled “Global Artificial Intelligence in Retail Market Forecast Report 2020-2026” into its vast database of research reports. The latest report is committed to delivering an in-depth analysis of the market. Straits Research offers a high degree of accuracy, comprehensive study, and systematic research methodology to readers that have been curated by the data collected from direct and indirect sources. Besides, the forecasting patterns have been considered across different geographies where the Global Artificial Intelligence in Retail Market Forecast is growing steadily. The report has studied the overall market in-depth and has extracted data from secondary sources.
The Artificial Intelligence in Retail Market Forecast is expected to grow at a CAGR of 38.5% during the forecast period, 2019–2026.
While studying the Artificial Intelligence in Retail Market Forecast growth report, we also thoroughly analyzed the driving factors, development trends, restraints, challenges, and lucrative challenges to showcase the current and future market scenario. Straits Research has provided a comprehensive report that consists of the key market strategies based on the latest technologies, applications, and different geographies around the world. The industry is expected to show significant growth over the forecast period due to the increasing Artificial Intelligence in Retail Market Forecast demand.
Competitive Analysis
Accenture, Amazon Web Services Inc., Google Inc., Infosys Limited, Intel Corporation, IBM Corporation, Microsoft Corporation, Numenta Inc., NVIDIA Corporation, Oracle Corporation, Salesforce.com Inc., SAP SE, Sentient Technologies, and ViSenze Pte Ltd.
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Market Segmentation:
By Type, Online, Offline,
By Component, Solution, Services,
By Technology, Machine Learning, Natural Language Processing (NLP), Analytics, Others,
By Application, Predictive Merchandising, Programmatic
Advertising, In-store visual Monitoring and Surveillance, Others,
This report forecasts revenue growth globally, at regional, and local levels. It analyzes the most recent industry trends from 2020 to 2026 in each of the segments and sub-segments. Some of the major geographies included in the market are given below:
• North America (U.S., Canada)
• Europe (U.K., Germany, France, Italy)
• Asia Pacific (China, India, Japan, Singapore, Malaysia)
• Latin America (Brazil, Mexico)
• Middle East & Africa
The report then employs market breakdown and data triangulation procedures to complete the overall market engineering process and arrive at the exact statistics for all segments and sub-segments. The report on the Global Artificial Intelligence in Retail Market Forecast has been curated by analyzing the top players functioning in the market to get in-depth analysis. The report carried out a SWOT analysis, Porter’s five forces analysis, and Pestle analysis.
Some of the key points that the report covers:
• A comprehensive overview of the Global Artificial Intelligence in Retail Market Forecast Analysis, along with the product description, summary, growth patterns, size, and share.
• Analyses of the global market trends, with historical and present data about the market and the projection of compound annual growth rates (CAGRs) throughout the forecast period.
• Lucrative growth opportunities and targeted promotional plans for the Global Artificial Intelligence in Retail Market Forecast.
• Investments in research and development (R&D) activities, mergers and acquisitions (M&A), and the demand for new products and applications in the Global Artificial Intelligence in Retail Market Forecast.
• In-depth analysis of the leading competitors functioning in the market.
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Other features of the report:
1. Gives a thorough analysis of the key strategies with a focus on the corporate structure, R&D methods, localization strategies, production capabilities, sales, and performance in various companies.
2. Provides valuable insights into the product portfolio, including product planning, development, and positioning.
3. Analyses the role of key market players and their partnerships, mergers, and acquisitions.
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