Artificial Intelligence (AI) in Retail Market: Analysis by Industry Growth, Size, Share, Demand, Trends & Research Report & Forecast: 2022-2031

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Japan, Japan, Thursday, March 10, 2022 9:56:56 PM / Comserve Inc. / — Artificial Intelligence (AI) in Retail Market Opportunities, Size, Share, Emerging Trends, Technological Innovation, Forecast and Regional Analysis (Latin America , North America) America, Asia-Pacific, Europe, Middle East)

“The global Artificial Intelligence (AI) in retail market is valued at around USD 3 billion in 2019 and is expected to grow with a healthy growth rate of over 29.7% over the forecast period 2020-2027. AI has become a key part of digitizing in-store retail through personalizing the consumer experience and creating a more engaged business-to-consumer interaction.For retail businesses, AI is creating a perspective to bridge the gap between physical and virtual sales channels.AI is also becoming an integral part for retailers due to the efficiency it brings to operations by replacing humans.As humans are error prone; however, the use of AI technology helps eliminate the inefficiencies that humans bring into operations.Therefore, the advent of AI is becoming increasingly popular in online retail, and even in traditional retail stores, which can contribute to the higher growth of the global market. Intelligence (AI) in the retail market is widely attributed to the fact that online retail businesses to improve customer experience are growing steadily across the globe. For example, PayPal uses AI to spot fraudulent charges, it uses an in-house developed AI engine, open source tools. Such an initiative will drive the adoption of AI in the retail market worldwide. Furthermore, increasing number of e-commerce transactions, along with growing demand for AI-based chatbots are the few factors responsible for the high CAGR of the market during the forecast period. According to the United Nations Conference on Trade and Development (UNCTAD), global e-commerce sales accounted for approximately $25.6 trillion in 2018, an increase of 8% from 2017. Similarly, according to the According to the Indian Brand Equity Foundation (IBEF), the e-commerce sector remained at USD 38.5 billion in 2017 and is expected to reach nearly USD 200 billion by 2024. This, in turn, is expected to bolster market growth in the whole world. However, lack of infrastructure coupled with higher implementation costs are the few major factors hampering the growth of the market during the forecast period 2020-2027.

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The regional analysis of the Global Artificial Intelligence (AI) in Retail Market is considered for the key regions such as Asia-Pacific, North America, Europe, Latin America and the Rest of the world. North America is the leading region in the world in terms of market share due to the early adoption of new and emerging technologies in retail stores, as well as the presence of a large number of market vendors in the region. While Asia-Pacific is expected to show the highest growth rate/CAGR during the forecast period 2020-2027. Factors such as increasing number of e-commerce sectors and increasing investment in artificial intelligence (AI) in developing countries such as China and India would create lucrative growth prospects for the artificial intelligence (AI) market in retail across Asia. -Pacific region.

For more information on this report, visit: Artificial intelligence (AI) in the retail market

The major market players included in this report are:

Amazon Web Series LLC
Google LLC
IBM Corp.
Intel Corp.
Microsoft Corp.
NVIDIA Corp.
Oracle Corp.
SAP SE
Conversica Inc.
Baidu inc.

The objective of the study is to define the market size of different segments and countries in recent years and to forecast the values ​​to the next eight years. The report is designed to incorporate qualitative and quantitative aspects of the industry in each of the regions and countries involved in the study. Furthermore, the report also provides detailed information about the crucial aspects such as driving factors and challenges which will define the future growth of the market. Additionally, the report should also incorporate the opportunities available in the micro markets for stakeholders to invest in, along with the detailed analysis of the competitive landscape and product offerings of key players.

The detailed segments and sub-segments of the market are explained below:

By offering:

Solution
Services

By function:
Operations Focused
Client orientation

By technology:

computer vision
machine learning
Natural Language Processing (NLP)
Others

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By region:

North America
we
Canada
Europe
UK
Germany
France
Spain
Italy
DEER

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the world

In addition, the years considered for the study are as follows:

Historical year – 2017, 2018
Reference year – 2019
Forecast Period – 2020 to 2027

Target Audience of Artificial Intelligence (AI) in Retail Market in Market Research:

Top Consulting Firms and Advisors
Large, medium and small businesses
Venture capitalist
Value Added Resellers (VAR)
Third-Party Knowledge Providers
Investment bankers
Investors””

Contents
Chapter 1. Executive Summary
1.1. Market overview
1.2. Global and Segmental Market Estimates and Forecasts, 2018-2027 (USD Billion)
1.2.1. Artificial intelligence (AI) in retail market, by region, 2018-2027 (USD billion)
1.2.2. Artificial intelligence (AI) in retail market, by offer, 2018-2027 (USD billion)
1.2.3. Artificial intelligence (AI) in retail market, by function, 2018-2027 (USD billion)
1.2.4. Artificial intelligence (AI) in retail market, by technology, 2018-2027 (USD billion)
1.3. Key trends
1.4. Estimation methodology
1.5. Research hypothesis
Chapter 2. Global Artificial Intelligence (AI) in Retail Market Definition and Scope
2.1. Goal of the study
2.2. Market definition and scope
2.2.1. Scope of the study
2.2.2. Industry evolution
2.3. Years Considered for Study
2.4. Currency conversion rate
Chapter 3. Global Artificial Intelligence (AI) in Retail Market Dynamics
3.1. Artificial Intelligence (AI) in Retail Market Impact Analysis (2018-2027)
3.1.1. Market factors
3.1.2. Market challenges
3.1.3. Market opportunities
Chapter 4. Global Artificial Intelligence (AI) in Retail Market Industry Analysis
4.1. Porter’s 5-force model
4.1.1. Bargaining power of suppliers
4.1.2. The bargaining power of buyers
4.1.3. The threat of new entrants
4.1.4. The threat of substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic approach to Porter’s 5 forces model (2017-2027)
4.2. PEST analysis
4.2.1. Politics
4.2.2. Economic
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst recommendation and conclusion
Chapter 5. Global Artificial Intelligence (AI) in Retail Market, By Supply
5.1. Market overview
5.2. Global Artificial Intelligence (AI) in Retail Market by Offer, Performance – Potential Analysis
5.3. Global Artificial Intelligence (AI) in Retail Market Estimates and Forecasts by Supply 2017-2027 (USD Billion)
5.4. Artificial Intelligence (AI) in Retail Market, Sub-segment Analysis
5.4.1. Solution
5.4.2. Services
Chapter 6. Global Artificial Intelligence (AI) in Retail Market, By Function
6.1. Market overview
6.2. Global Artificial Intelligence (AI) in Retail Market by Function, Performance – Potential Analysis
6.3. Global Artificial Intelligence (AI) in Retail Market Estimates & Forecasts by Function 2017-2027 (USD Billion)
6.4. Artificial Intelligence (AI) in Retail Market, Sub-segment Analysis
6.4.1. Operations Focused
6.4.2. Client orientation

The dynamic nature of the business environment in today’s global economy increases the need among business professionals to update themselves with current market situations. To meet these needs, Shibuya Data Count provides market research reports to various professionals in different verticals, such as healthcare and pharmaceuticals, IT and telecommunications, chemicals and advanced materials, goods consumption and food, energy and electricity, manufacturing and construction, industry. automation and equipment and agriculture and related activities, among others.

For more information please contact:

Hina Miyazu

Shibuya Data Count
Email: [email protected]
Tel: + 81 3 45720790

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