Artificial Intelligence in Retail Market By Technology and Key Players: AWS, Baidu, BloomReach., CognitiveScale., Google, Inbenta Technologies, Intel, Interactions, Lexalytics., Microsoft, NEXT IT., Nvidia, Oracle, RetailNext, Salesforce.com., SAP

Market Overview: -

Artificial Intelligence 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. AI in retail market is estimated to cross the USD 8 billion mark by the year 2024. The growth of the market is driven by the disruption of the technology in the retail sector. Enterprises are rapidly deploying new technologies to get an edge over competitors and provide a personalized shopping experience to the customers.

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Top Key Players: -

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.

Market share calculation in this report is not done based on companies covered in it. The calculation of artificial intelligence in retail market share is done based on a regional approach and countries covered. On request, additional companies can be covered as well as regional data for particular country / countries can be provided.

Regional Segmentations: -

North America accounts for over 35% share in the AI in Retail market. The increasing investments in the AI technology, the early adoption, and the presence of tech giants, such as AWS, Microsoft, Google and IBM, in the country also foster the market growth.

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.

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Partial Chapter of the Table of Content

Chapter 1. Methodology & Scope
1.1. Methodology
1.1.1. Initial data exploration
1.1.2. Statistical model and forecast
1.1.3. Industry insights and validation
1.1.4. Scope,
1.1.5. Definition
1.1.6. Methodology and research parameters
1.2. Data Sources
1.2.1. Primary
1.2.2. Secondary
Chapter 2. Executive Summary
2.1. AI in Retail industry 360º synopsis, 2013 - 2024
2.1.1. Business trends
2.1.2. Regional trends
2.1.3. Component trends
2.1.4. Solution trends
2.1.5. Service trends
2.1.6. Technology trends
2.1.7. Application trends
Chapter 3. AI in Retail Industry Insights
3.1. Introduction
3.2. Industry segmentation
3.3. Industry landscape, 2013-2024
3.4. Industry ecosystem analysis
3.5. Industry evolution
3.6. Market news
3.7. Technology & innovation landscape
3.7.1. Gesture recognition
3.7.2. Virtual mirrors
3.7.3. Chatbots
3.7.4. Video analytics
3.7.5. Robots
3.8. Regulatory landscape
3.8.1. Health Insurance Portability and Accountability Act (HIPAA)
3.8.2. Payment Card Industry Data Security Standard (PCI DSS)
3.8.3. North American Electric Reliability Corp. (NERC) Standards
3.8.4. Federal Information Security Management Act (FISMA)
3.8.5. The Gramma-Leach-Bliley Act (GLB) Act of 1999
3.8.6. Sarbanes-Oxley Act of 2002
3.8.7. General Data Protection Regulation (GDPR)
3.9. Use cases
3.9.1. Sales & CRM application
3.9.2. Customer recommendations
3.9.3. Logistics & delivery
3.9.4. Payment service
3.10. Industry impact forces
3.10.1. Growth drivers
3.10.1.1. Growing investment in AI
3.10.1.2. Increasingly empowered consumer
3.10.1.3. Disruptive technologies
3.10.1.4. Advent of new business models
3.10.1.5. Advancement in data science
3.10.2. Industry pitfalls & challenges
3.10.2.1. Limited public-private partnership to address social implications directly
3.10.2.2. Privacy issues associated with the use of AI Growth potential analysis
3.11. Growth potential analysis
3.12. Porter's analysis
3.13. PESTEL analysis

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The solutions market is estimated to lead the AI in Retail market with over 85% share in the revenue. The growing demand for the advanced analytics solutions among the retailers to extract the consumer data is propelling the growth. Services market is anticipated to grow at a CAGR of over 45% during the forecast timeline. The increasing demand among the retailers for the third-party services is the driving the growth.

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 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.

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