Artificial Intelligence in Retail Market to surpass $8bn by 2024

in #aiinretail6 years ago

​The technology research report “Artificial Intelligence (AI) in Retail Market Size By Component (Solution [Chatbot, Customer Behavior Tracking, Customer Relationship Management (CRM), Inventory Management, Price Optimization, Recommendation Engine, Supply Chain Management, Visual Search], Service [Professional Service, Managed Service]), By Technology (Machine Learning, Natural Language Processing (NLP), Computer Vision), By Application (Automated Merchandising, Programmatic Advertising, Market Forecasting, In-Store AI & Location Optimization, Data Science), Industry Analysis Report, Regional Outlook (U.S., Canada, UK, Germany, France, Spain, Sweden, Switzerland, Australia, China, India, Japan, South Korea, Singapore, Brazil, Mexico, UAE, Israel, South Africa), Growth Potential, Competitive Market Share & Forecast, 2018 - 2024” by Global Market Insights, Inc. says Artificial Intelligence (AI) in Retail Market to exceed USD 8 billion by 2024, driven by growing investment in AI.
The AI in retail market is driven by the increasing investments in it across the globe. The growing investment in the technology is attributed to the wide applications of the AI technology along with advanced analytics, machine learning. AI is set to unleash the next phase of the digital disruption and the market participants are preparing themselves for it. The investment in the technology is growing rapidly, dominated by the tech giants such as Google, Microsoft, IBM, AWS, and Baidu. In 2016, approximately USD 30 billion investment in the technology has been witnessed, with more than 90% on the R&D activities and remaining 10% on the merger & acquisition activities. Furthermore, private equity financing, seed investment, and venture capital investment also grew significantly amounting to a cumulative total of over USD 6 billion.

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The technological advancement and the development of the advanced machine learning & deep learning algorithms are also the major driving forces for the AI in retail market. Machine learning is estimated to grow prominently in AI in retail market at over 42% CAGR. The growth is driven by the increasing adoption of the technology by the retailers to provide enhanced customer experience and offer a personalized shopping experience to the customers.

The visual search solution segment in AI in retail market is assessed to grow at a CAGR of over 45% during the forecast timeline due to the increasing trend of online shopping and mobile commerce. The solution allows customers to search products using images instead of text or speech. It leverages the image recognition technology to analyze the image and recommend relevant products to improve the shopping experience of the customers. The demand for the solutions is estimated to grow significantly in the future due to the increasing popularity among the online retailers and shoppers.

Programmatic advertising is one of the most prominent applications of AI in retail market. As the competition among the retailers is increasing rapidly, companies are looking for new ways to gain customers by implementing advanced advertising strategies. The companies are focusing on “Precision Targeting” to deliver the right messages to the right audience to maximize the sales and reduce the advertising spend. Furthermore, the demand for the programmatic advertising is also driven by the increasing investments by the retailers on digital marketing.

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APAC AI in retail market is anticipated to grow at a CAGR of over 45% during the forecast period. The growth of the market is attributed to the growing investments in AI technology and increasing digitalization in the region. China is leading the investments and accounting for 17% of the global external investments in AI. Increasing investments by Chinese players also drive the AI in retail market growth in the region. For instance, Baidu has invested more than USD 1.5 billion in the AI research in the past two years, in addition to the USD 200 million investment by the company for the development of a new R&D facility.

Some of the prominent vendors of the AI in retail market are AWS, Baidu, BloomReach., CognitiveScale., Google, Inbenta Technologies, Intel, Interactions, Lexalytics., Microsoft, NEXT IT., Nvidia, Oracle, RetailNext, Salesforce.com., SAP, Sentient Technologies, and Visenze.

The global AI in retail market research report includes in-depth coverage of the industry with estimates & forecast revenue in USD from 2013 to 2024, for the following segments:

Artificial Intelligence in Retail Market, By Component

Solution
Chatbot
Customer Behavior Tracking
Customer Relationship Management
Inventory Management
Price Optimization
Recommendation Engine
Supply Chain Management
Visual Search
Others
Service
Professional Service
Managed Service
Artificial Intelligence in Retail Market, By Technology

Machine Learning & Deep Learning
Natural Language Processing
Computer Vision
Others
Artificial Intelligence in Retail Market, By Application

Automated Merchandising
Programmatic Advertising
Market Forecasting
In Store AI & location optimization
Data Science
Others
The above information has been provided for the following regions and countries:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Sweden
Switzerland
Asia Pacific
Australia
China
India
Japan
South Korea
Singapore
Latin America
Brazil
Mexico
MEA
UAE
Israel
South Africa
Browse key industry insights spread across 300 pages with 170 market data tables & 23 figures & charts from the report, Artificial Intelligence (AI) in Retail Market in detail along with the table of contents:

https://www.gminsights.com/industry-analysis/artificial-intelligence-ai-retail-market

About Global Market Insights

Global Market Insights, Inc., headquartered in Delaware, U.S., is a global market research and consulting service provider; offering syndicated and custom research reports along with growth consulting services. Our business intelligence and industry research reports offer clients with penetrative insights and actionable market data specially designed and presented to aid strategic decision making. These exhaustive reports are designed via a proprietary research methodology and are available for key industries such as chemicals, advanced materials, technology, renewable energy and biotechnology.

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