Artificial Intelligence in Retail Market By Type (Online, Offline); By Technology (Natural Language Processing, Machine Learning, and Deep Learning, Others (Analytics and Process Automation)); By Solution (Product Recommendation and Planning, Price Optimization, Payment Services management, Customer Relationship Management, Visual Search, Virtual Assistant, Supply chain management and Demand Planning); By Services (Professional Services, Managed Services); By Deployment Mode (Cloud, On-Premises); By Application (Predictive Merchandising, In-Store Visual Monitoring, and Surveillance, Location-Based Marketing, Programmatic Advertising, Market Forecasting)- Prospective Landscape, Size, Share, Growth, Opportunities and Industry Forecast 2020-2028

Market Insights:

Artificial intelligence (AI), also known as machine intelligence. It is the recreation of human intelligence demonstrated by machines, particularly computers. This process involves reasoning, learning, and self-correction. In the retail industry, Artificial intelligence is used to improve guaranteeing authenticity, smoothing logistics & delivery, customer experience, and reduce human error. The utilization of artificial intelligence consciousness in retail traverses each part of the business. The objective is to enhance the supply chain, utilize existing information to build change, or customize shopping experiences with predictive modeling and micro-targeting or pricing, AI can help address these difficulties in the retail space. Artificial intelligence in the retail market is divided. The developing selection of IoT, Big Data examination, and web-based business promoting give worthwhile occasions to Artificial intelligence in the retail market. Generally, the competitive rivalry among existing competitors is high. Pushing ahead, acquisitions and coordinated efforts of enormous organizations with new businesses are normal, which are focused on development. The AI-equipped retailers with sharper forecasting tools will help in settling on smarter business choices. The utilization of algorithms builds visibility into ROI implications, meaning outcomes like lower costs and higher deals. Computer-based intelligence has carried genuine interruption to the retail area by improving productivity, as well as prediction. Initiation of advanced technologies, for example, robotics, sensors, and artificial intelligence in the retail business have empowered the retailers to improve their connections with customers and changed the way retail tasks were performed.

Latest Trends:

The following are the trending factors encouraging the global Artificial Intelligence In Retail market over the forecast period:

• Favorable government initiatives and investments in Artificial Intelligence In Retail projects
• Increasing research and development activities by leading global companies
• Increasing developments and upgrades across the industrial sector
• Effect of artificial intelligence in the retail solutions market with a high development rate.
• Predictive merchandising expected to register high growth.
• Increased awareness about Artificial Intelligence among global consumers
• Increasing penetration of internet and expansive adoption of smart devices.

Driving Factors:

• Increasing awareness about AI and big data & analytics is fuelling the development of AI in the retail market.
• Artificial intelligence in the retail market is growing because of increased usage of internet users and smart devices, government takes initiatives towards digitization. Furthermore, the increased need to enhance end-user experience and to take advantage of market dynamics are contributing to the growth of global artificial intelligence in the retail market.
• The in-store visual observing and surveillance application is required to have the highest development rate during the estimated time period.
• The cloud deployment model is required to show a higher piece of the overall industry, because of the rising interest for 24*7 accessibility of open data and ease support administrations.
• Expanding need for superior surveillance and observing at an actual store, increasing awareness and use of AI in the retail business, improved efficiency, upgraded client experience, mainlining stock precision, Return on Investment (RoI), and flexibly chain enhancement is a portion of the key components fueling the growth of this market.

Restraining Factors:

• The cost of making Artificial Intelligence product is very high, this factor hampers the growth of the market.
• Corporate executive Cyber Threats Increasing Quickly is the major restrain of the Artificial Intelligence market.

Segmentations:

The global Artificial Intelligence In Retail market has been bifurcated into different global market segments by examining various perspectives such as type, technology, solution, services, deployment mode, application, and global geographies.

Type Perspective (Revenue in USD Million):

• Online
• Offline

Technology Perspective (Revenue in USD Million):

• Natural Language Processing
• Machine Learning and Deep Learning
• Others (Analytics and Process Automation)

Solution Perspective (Revenue in USD Million):

• Product Recommendation and Planning
• Price Optimization
• Payment Services management
• Customer Relationship Management
• Visual Search
• Virtual Assistant
• Supply chain management and Demand Planning

Services Perspective (Revenue in USD Million):

• Professional Services
• Managed Services

Deployment Mode Perspective (Revenue in USD Million):

• Cloud
• On-Premises

Application Perspective (Revenue in USD Million):

• Predictive Merchandising
• In-Store Visual Monitoring and Surveillance
• Location-Based Marketing
• Programmatic Advertising
• Market Forecasting
• Others

Regional Perspective (Revenue in USD Million):

North America

• U.S.A
• Canada

Europe

• Italy
• Germany
• France
• UK
• Spain
• Rest of Europe

Asia-Pacific

• China
• India
• Japan
• Rest of Asia-Pacific

Latin America

• Brazil
• Mexico

Middle East & Africa

• UAE
• Saudi Arabia
• Turkey
• Rest of Middle East & Africa

Regional Insights:

• The global Artificial Intelligence In the Retail market has been scrutinized into various global market regions including North America, Asia-Pacific, Africa, and Europe, Latin America, and the Middle East based on several global market perspectives.
• Early adoption of new advanced technologies and the presence of significant business players are boosting the market in North America.
• North America is one of the noticeable areas in artificial intelligence in the retail market which will contribute most elevated income worldwide inferable from the monstrous change of district affected by web and availability to different devices, for example, tablets, PCs, and smartphones.
• The APAC region is expected to grow at the highest CAGR during the forecast period because of the increasing adoption of AI-based solutions and services among retailers.
• The government has taken initiatives to develop AI in the APAC region as well as the growth of e-commerce in countries including China and India, and increased investments in AI technology for improved productivity. Furthermore, the factors such as like growing adoption of AI-based solutions, services among retailers, developing the internet, and increasing digitalization are also helping the market growth in this region.

Key Industry Players:

Top-level companies in the global Artificial Intelligence In Retail market have been examined and presented to get informative data on various global market perspectives along with the effective business strategies carried out by them. Furthermore, this innovative report sheds light on several factors such as company profiling, financial overview, and leading manufacturers in the global market. A professional and dedicated team of Alchemy Market Research is examining the global market data through proven research methodologies.

The following global companies have been profiled to get better insights about effective business strategies carried out by global companies:

• IBM (US)
• Microsoft (US)
• SAP (Germany)
• Intel (US)
• NVIDIA (US)
• Amazon Web Services (US)
• Oracle (US)
• Google (US)
• Sentient technologies (US)
• Salesforce (US)
• ViSenze (Singapore)

Key Industry Developments:

• In May 2018, PayPal acquired Jetlore for an undisclosed revenue. Jetlore develops the AI prediction platform for various retailers, such as JCPenney, Nordstrom Rack, and Uniqlo, to customize their customer experiences.

This report answers the following key questions:

• What is global Artificial Intelligence In the Retail market?
• Which factors are encouraging and driving the global Artificial Intelligence In the Retail market?
• What were the global market size and market shares in historical years?
• What will be the global market growth opportunities in Artificial Intelligence In the Retail market?
• What are the technological advancements and recent trends in Artificial Intelligence In the Retail market?
• What are the major challenges faced by global manufacturers in Artificial Intelligence In the Retail market?
• What are the global manufacturers functioning in the global Artificial Intelligence In the Retail market?
• What is the impact of Covid-19 on the global Artificial Intelligence In the Retail market?
• What is the contribution from the government sector for enhancing the global Artificial Intelligence In Retail market growth?
• Which are the major segments accounted for holding the massive share in the global Artificial Intelligence In the Retail market?

Synopsis:

Alchemy Market Research has newly published a fully-fledged analysis of the global Artificial Intelligence In Retail market to its widespread database. The global Artificial Intelligence In Retail market size is valued at USD 902 million in 2019 and is expected to register a CAGR of 33.5 % over the forecast period. The informative data of the global artificial intelligence in the retail market has been collected from different reliable sources such as websites, press releases, and media publications which will help to shape the future of businesses. Different infographics have been incorporated into the analytical report for presenting the essential facts of the global artificial intelligence in the retail market. An expert team of researchers highlights different global market aspects such as global market shares, market size, global market scope, innovative and recent trends, types, solutions, services, technologies, and applications.

Chapter 1.        Executive Summary

 

Chapter 2.        Market Introduction

 

Chapter 3.        Global Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028 – Key Industry Dynamics

3.1.   Key Market Drivers

3.2.   Key Market Restraints

3.3.   Market Opportunities

3.4.   Future Trends

3.5.   Impact Analysis of Drivers and Restraints

Chapter 4.        Global Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028

 

Chapter 5.        Global Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028 – By Type

5.1.   Online

5.2.   Offline

Chapter 6.        Global Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028 – By Technology

6.1.   Natural Language Processing

6.2.   Machine Learning and Deep Learning

6.3.   Others (Analytics and Process Automation)

Chapter 7.        Global Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028 – By Solution

7.1.   Product Recommendation and Planning

7.2.   Price Optimization

7.3.   Payment Services management

7.4.   Customer Relationship Management

7.5.   Visual Search

7.6.   Virtual Assistant

7.7.   Supply chain management and Demand Planning

Chapter 8.        Global Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028 – By Services

8.1.   Professional Services

8.2.   Managed Services

Chapter 9.        Global Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028 – By Deployment Mode

9.1.   Cloud

9.2.   On-Premises

Chapter 10.    Global Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028 – By Application

10.1.                     Predictive Merchandising

10.2.                     In-Store Visual Monitoring and Surveillance

10.3.                     Location-Based Marketing

10.4.                     Programmatic Advertising

10.5.                     Market Forecasting

10.6.                     Others

Chapter 11.    Global Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028 – By Region

11.1.            North America

11.2.            Europe

11.3.            Asia-Pacific

11.4.            Latin America

11.5.            Middle East & Africa

Chapter 12.    North America Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028

12.1.            North America Artificial Intelligence in Retail Market Market– By Type

12.1.1.    Online

12.1.2.    Offline

12.2.            North America Artificial Intelligence in Retail Market Market– By Technology

12.2.1.    Natural Language Processing

12.2.2.    Machine Learning and Deep Learning

12.2.3.    Others (Analytics and Process Automation)

12.3.            North America Artificial Intelligence in Retail Market Market– By Solution

12.3.1.    Product Recommendation and Planning

12.3.2.    Price Optimization

12.3.3.    Payment Services management

12.3.4.    Customer Relationship Management

12.3.5.    Visual Search

12.3.6.    Virtual Assistant

12.3.7.    Supply chain management and Demand Planning

12.4.            North America Artificial Intelligence in Retail Market Market– By Services

12.4.1.    Professional Services

12.4.2.    Managed Services

12.5.            North America Artificial Intelligence in Retail Market Market– By Deployment Mode

12.5.1.    Cloud

12.5.2.    On-Premises

12.6.            North America Artificial Intelligence in Retail Market Market– By Application

12.6.1.    Predictive Merchandising

12.6.2.    In-Store Visual Monitoring and Surveillance

12.6.3.    Location-Based Marketing

12.6.4.    Programmatic Advertising

12.6.5.    Market Forecasting

12.6.6.    Others

12.7.            North America Artificial Intelligence in Retail Market Market– By Country

12.7.1. U.S.

12.7.2. Canada

Chapter 13.    Europe Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028

13.1.            Europe Artificial Intelligence in Retail Market Market– By Type

13.1.1.    Online

13.1.2.    Offline

13.2.            Europe Artificial Intelligence in Retail Market Market– By Technology

13.2.1.    Natural Language Processing

13.2.2.    Machine Learning and Deep Learning

13.2.3.    Others (Analytics and Process Automation)

13.3.            Europe Artificial Intelligence in Retail Market Market– By Solution

13.3.1.    Product Recommendation and Planning

13.3.2.    Price Optimization

13.3.3.    Payment Services management

13.3.4.    Customer Relationship Management

13.3.5.    Visual Search

13.3.6.    Virtual Assistant

13.3.7.    Supply chain management and Demand Planning

13.4.            Europe Artificial Intelligence in Retail Market Market– By Services

13.4.1.    Professional Services

13.4.2.    Managed Services

13.5.            Europe Artificial Intelligence in Retail Market Market– By Deployment Mode

13.5.1.    Cloud

13.5.2.    On-Premises

13.6.            Europe Artificial Intelligence in Retail Market Market– By Application

13.6.1.    Predictive Merchandising

13.6.2.    In-Store Visual Monitoring and Surveillance

13.6.3.    Location-Based Marketing

13.6.4.    Programmatic Advertising

13.6.5.    Market Forecasting

13.6.6.    Others

13.7.            Europe Artificial Intelligence in Retail Market Market– By Country

13.7.1.    Germany

13.7.2.    France

13.7.3.    UK

13.7.4.    Spain

13.7.5.    Italy

13.7.6.    Rest of Europe

Chapter 14.    Asia Pacific Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028

14.1.            Asia Pacific Artificial Intelligence in Retail Market Market– By Type

14.1.1.    Online

14.1.2.    Offline

14.2.            Asia Pacific Artificial Intelligence in Retail Market Market– By Technology

14.2.1.    Natural Language Processing

14.2.2.    Machine Learning and Deep Learning

14.2.3.    Others (Analytics and Process Automation)

14.3.            Asia Pacific Artificial Intelligence in Retail Market Market– By Solution

14.3.1.    Product Recommendation and Planning

14.3.2.    Price Optimization

14.3.3.    Payment Services management

14.3.4.    Customer Relationship Management

14.3.5.    Visual Search

14.3.6.    Virtual Assistant

14.3.7.    Supply chain management and Demand Planning

14.4.            Asia Pacific Artificial Intelligence in Retail Market Market– By Services

14.4.1.    Professional Services

14.4.2.    Managed Services

14.5.            Asia Pacific Artificial Intelligence in Retail Market Market– By Deployment Mode

14.5.1.    Cloud

14.5.2.    On-Premises

14.6.            Asia Pacific Artificial Intelligence in Retail Market Market– By Application

14.6.1.    Predictive Merchandising

14.6.2.    In-Store Visual Monitoring and Surveillance

14.6.3.    Location-Based Marketing

14.6.4.    Programmatic Advertising

14.6.5.    Market Forecasting

14.6.6.    Others

14.7.            Asia-Pacific Artificial Intelligence in Retail Market Market– By Country

14.7.1. China

14.7.2. India

14.7.3. Japan

14.7.4. South Korea

14.7.5. Rest of Asia-Pacific

Chapter 15.    Latin America Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028

15.1.            Latin America Artificial Intelligence in Retail Market Market– By Type

15.1.1.    Online

15.1.2.    Offline

15.2.            Latin America Artificial Intelligence in Retail Market Market– By Technology

15.2.1.    Natural Language Processing

15.2.2.    Machine Learning and Deep Learning

15.2.3.    Others (Analytics and Process Automation)

15.3.            Latin America Artificial Intelligence in Retail Market Market– By Solution

15.3.1.    Product Recommendation and Planning

15.3.2.    Price Optimization

15.3.3.    Payment Services management

15.3.4.    Customer Relationship Management

15.3.5.    Visual Search

15.3.6.    Virtual Assistant

15.3.7.    Supply chain management and Demand Planning

15.4.            Latin America Artificial Intelligence in Retail Market Market– By Services

15.4.1.    Professional Services

15.4.2.    Managed Services

15.5.            Latin America Artificial Intelligence in Retail Market Market– By Deployment Mode

15.5.1.    Cloud

15.5.2.    On-Premises

15.6.            Latin America Artificial Intelligence in Retail Market Market– By Application

15.6.1.    Predictive Merchandising

15.6.2.    In-Store Visual Monitoring and Surveillance

15.6.3.    Location-Based Marketing

15.6.4.    Programmatic Advertising

15.6.5.    Market Forecasting

15.6.6.    Others

15.7.            Latin America Artificial Intelligence in Retail Market Market– By Country

15.7.1. Brazil

15.7.2. Mexico

15.7.3. Rest of Latin America

Chapter 16.    Middle East & Africa Artificial Intelligence in Retail Market Market– Analysis and Revenue Forecast 2019-2028

16.1.            Middle East & Africa Artificial Intelligence in Retail Market Market– By Type

16.1.1.    Online

16.1.2.    Offline

16.2.            Middle East & Africa Artificial Intelligence in Retail Market Market– By Technology

16.2.1.    Natural Language Processing

16.2.2.    Machine Learning and Deep Learning

16.2.3.    Others (Analytics and Process Automation)

16.3.            Middle East & Africa Artificial Intelligence in Retail Market Market– By Solution

16.3.1.    Product Recommendation and Planning

16.3.2.    Price Optimization

16.3.3.    Payment Services management

16.3.4.    Customer Relationship Management

16.3.5.    Visual Search

16.3.6.    Virtual Assistant

16.3.7.    Supply chain management and Demand Planning

16.4.            Middle East & Africa Artificial Intelligence in Retail Market Market– By Services

16.4.1.    Professional Services

16.4.2.    Managed Services

16.5.            Middle East & Africa Artificial Intelligence in Retail Market Market– By Deployment Mode

16.5.1.    Cloud

16.5.2.    On-Premises

16.6.            Middle East & Africa Artificial Intelligence in Retail Market Market– By Application

16.6.1.    Predictive Merchandising

16.6.2.    In-Store Visual Monitoring and Surveillance

16.6.3.    Location-Based Marketing

16.6.4.    Programmatic Advertising

16.6.5.    Market Forecasting

16.6.6.    Others

16.7.            Middle East & Africa Artificial Intelligence in Retail Market Market– By Country

16.7.1. UAE

16.7.2. Saudi Arabia

16.7.3. Turkey

16.7.4. Rest of Middle East & Africa

Chapter 17.    Competitive Analysis

17.1.1. Competition Dashboard

17.1.2. Company Profiles

17.1.2.1.          IBM (US)

17.1.2.2.          Microsoft (US)

17.1.2.3.          SAP (Germany)

17.1.2.4.          Intel (US)

17.1.2.5.          NVIDIA (US)

17.1.2.6.          Amazon Web Services (US)

17.1.2.7.          Oracle (US)

17.1.2.8.          Google (US)

17.1.2.9.          Sentient technologies (US)

17.1.2.10.      Salesforce (US)

17.1.2.11.      ViSenze (Singapore)