Artificial Intelligence in Retail Market Research Report by

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New York, April 22, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of “Retail Artificial Intelligence Research Report by Type, Technology, Service, Solution, Deployment Mode, Application , Region – Global Forecast to 2027 – Cumulative Impact of COVID-19” – https://www.reportlinker.com/p06261625/?utm_source=GNW

The global Artificial Intelligence in Retail market size was estimated at USD 2,949.69 million in 2021 and is projected to reach USD 3,439.58 million in 2022, and is projected to grow at a CAGR of 16.78% to reach USD 7,483.40 million by 2027.

Market statistics:
The report provides market size analysis and forecasts for five major currencies: USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organizational leaders make better decisions when currency data is readily available. In this report, the years 2019 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year and the years from 2023 to 2027 as the forecast period.

Segmentation and market coverage:
This research report categorizes Artificial Intelligence in Retail to forecast revenue and analyze trends in each of the following submarkets:

On the basis of type, the market has been studied through offline retail and online retail.

Based on the technology, the market has been studied through machine learning and deep learning and natural language processing. Machine learning and deep learning are further explored through emotion detection and facial recognition.

On the basis of service, the market has been studied across managed services and professional services.

Based on the solution, the market has been studied in customer relationship management, payment service management, price optimization, product recommendation and planning, supply chain management and demand planning, virtual assistant and visual search.

Based on deployment mode, the market has been studied on cloud and on-premises.

Based on the application, the market has been studied through visual in-store monitoring and surveillance, location-based marketing, market forecasting, predictive merchandising, and programmatic advertising.

Based on region, the market has been studied in Americas, Asia-Pacific, Europe, Middle East & Africa. The Americas are studied in more detail through Argentina, Brazil, Canada, Mexico and the United States. The United States is studied in more detail through California, Florida, Illinois, New York, Ohio, Pennsylvania and Texas. Asia-Pacific is studied in more detail across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan and Thailand. Europe, the Middle East and Africa are studied in more detail in France, Germany, Italy, the Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, the United Arab Emirates and the United Kingdom.

Cumulative impact of COVID-19:
COVID-19 is an unparalleled global public health emergency that has affected almost every industry, and the long-term effects are expected to impact industry growth over the forecast period. Our ongoing research amplifies our research framework to ensure inclusion of the underlying issues of COVID-19 and potential pathways forward. The report provides insights into COVID-19 considering shifts in consumer behavior and demand, shopping patterns, supply chain rerouting, current market force dynamics, and significant interventions governments. The updated study provides insights, analysis, estimates, and forecasts considering the impact of COVID-19 on the market.

Cumulative impact of the 2022 Russian-Ukrainian conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are widely predicted globally, particularly in Eastern Europe, the European Union, East and Central Asia, and the United States. This controversy has severely affected lives and livelihoods and represents profound disruptions to business dynamics. The potential effects of the ongoing war and uncertainty in Eastern Europe are expected to negatively impact the global economy, with particularly harsh long-term effects on Russia.

This report reveals the impact of demand and supply, pricing variants, strategic vendor adoption and recommendations for Artificial Intelligence on the Retail Market given the update on the conflict and its global response.

Competitive Strategy Window:
The strategic competitive window analyzes the competitive landscape in terms of markets, applications and geographies to help the vendor define an alignment or match between its capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for vendors to adopt successive strategies of merger and acquisition, geographic expansion, research and development, and new product introduction strategies to execute further business expansion and growth. during a forecast period.

FPNV positioning matrix:
The FPNV Positioning Matrix assesses and ranks vendors in the Artificial Intelligence in Retail Market based on business strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) which helps businesses make better decisions and understand the competitive landscape.

Market share analysis:
The market share analysis offers the analysis of the vendors considering their contribution to the overall market. It gives the idea of ​​its revenue generation in the overall market compared to other providers in the space. It provides information on the performance of vendors in terms of revenue generation and customer base compared to others. Knowing the market share gives an idea of ​​the size and competitiveness of suppliers for the reference year. It reveals the characteristics of the market in terms of accumulation, fragmentation, dominance and merger.

Competitive scenario:
The competitive scenario provides an analysis of the prospects of the various business growth strategies adopted by the vendors. The news covered in this section provides valuable insights at various stages while keeping abreast of business news and engaging stakeholders in the economic debate. The competitive scenario represents press releases or company news categorized into merger and acquisition, agreement, collaboration and partnership, new product launch and improvement, investment and funding, and awards, recognition and expansion. All the news collected helps the vendor to understand the gaps in the market and the strength and weakness of the competitors, thus providing insights to improve the product and service.

Enterprise Usability Profiles:
The report thoroughly explores recent significant developments by leading vendors and innovation profiles in the global Artificial Intelligence in Retail market including Amazon Web Services, Google, Intel, Microsoft, Nvidia, Oracle, Salesforce, SAP , Sentient Technologies and ViSenze.

The report provides information about the following pointers:
1. Market Penetration: Provides comprehensive information about the market offered by major players
2. Market Development: Provides detailed information on lucrative emerging markets and analyzes penetration in mature market segments
3. Market Diversification: Provides detailed information on new product launches, untapped geographies, recent developments and investments
4. Competitive Assessment and Intelligence: Provides a comprehensive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of key players
5. Product Development and Innovation: Provides smart insights into future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:
1. What is the market size and forecast of the global Artificial Intelligence in Retail market?
2. What are the inhibiting factors and impact of COVID-19 shaping the global Artificial Intelligence in Retail market during the forecast period?
3. What are the products/segments/applications/areas to invest in during the forecast period in the Global Artificial Intelligence in Retail Market?
4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence in Retail Market?
5. What are the technology trends and regulatory frameworks in the global Artificial Intelligence in Retail market?
6. What is the market share of the top vendors in the global Artificial Intelligence in Retail market?
7. What modes and strategic moves are considered suitable for entering the Global Artificial Intelligence in Retail Market?
Read the full report: https://www.reportlinker.com/p06261625/?utm_source=GNW

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