世界の小売における人工知能(AI)市場(~2030年):提供別(ソリューション、サービス)、技術別(機械学習、自然言語処理、コンピュータービジョン)

◆英語タイトル:Artificial Intelligence (AI) in Retail Market Research Report: By Offering (Solution, Service), Technology (Machine Learning, Natural Language Processing, Computer Vision) - Global Industry Analysis and Growth Forecast to 2030

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❖ レポートの概要 ❖

By 2025, e-commerce sales are expected to reach $7.3 trillion, which will drive the AI in retail market value to $36,462.5 million by 2030 from an estimated $1,714.3 million in 2021, according to the market research report published by P&S Intelligence. This is because retailers are using AI to offer personalized services and product recommendations and predict consumer behavior. AI is also being leveraged by e-commerce platforms for accurate demand forecasting, supply chain planning, and real-time customer intelligence gathering.
Among all the AI solutions designed for retailers, recommendation engines are the most popular. Online retailers are using them to study customers’ activity on the internet and recommend related products and services based on it. Since marketing everything to everyone, like in TVs and newspapers, doesn’t always give the desired returns, retailers are marketing only the products and services that customers are interested in, using recommendation engines.

Key Findings of AI in Retail Market Report
• In the coming years, the demand for related services will rise faster among retailers adopting AI solutions. Services offered by AI vendors include data management, software monitoring, training, and system maintenance and support.
• Machine learning is the most-widely used technology among AI in retail market end users as it allows them to enhance customers’ shopping experience by making accurate purchase recommendations.
• Natural language processing (NLP) is another popular AI technology among retailers because it understands and processes human language, thereby allowing users to offer personalized shopping experiences.
• Moreover, AI is now being utilized for marketing via multiple channels, primarily to analyze in-store consumer behavior and for e-mail marketing and campaign management.
• Seeing the vast benefit AI offers, major retailers are increasing their investments in allied technologies. For instance, IKEA has acquired Geomagical Labs, which offers augmented reality and AI solutions.
• Similarly, in April 2019, Reliance Jio Digital Services Ltd. finalized plans for the acquisition of an 87.0% stake in AI-driven conversational platform Haptik Inc.

The COVID-19 pandemic has accelerated such activities, thus affecting the AI in retail market positively. In 2020, lockdowns forced people inside their homes, which led to a sharp surge in the number of online shoppers. As per the United Nations, the top 13 online shopping platforms witnessed an over 20% increase in sales in 2020.

In the coming years, the aftereffects of the pandemic will drive the AI in retail market at the highest rate in Asia-Pacific (APAC). As per the UN, most of the 13 companies that witnessed the massive jump in sales in 2020 were based in the U.S. and China. Moreover, online sales in China, Australia, and Singapore in 2020 grew by 24.9%, 9.4%, and 11.7%, respectively, faster than in 2019. This is also credited to the increasing sale of smartphones and rising penetration of the internet here.

❖ レポートの目次 ❖

Chapter 1. Research Background

1.1 Research Objectives

1.2 Market Definition

1.3 Research Scope

1.3.1 Market Segmentation by Offering

1.3.2 Market Segmentation by Technology

1.3.3 Market Segmentation by Region

1.3.4 Analysis Period

1.3.5 Market Data Reporting Unit

1.4 Key Stakeholders

Chapter 2. Research Methodology

2.1 Secondary Research

2.2 Primary Research

2.2.1 Breakdown of Primary Research Respondents

2.2.1.1 By region

2.2.1.2 By industry participant

2.2.1.3 By company type

2.3 Market Size Estimation

2.4 Data Triangulation

2.5 Assumptions for the Study

Chapter 3. Executive Summary

Chapter 4. Introduction

4.1 Definition of Market Segments

4.1.1 By Offering

4.1.1.1 Solution

4.1.1.1.1 Chatbot

4.1.1.1.2 CRM

4.1.1.1.3 Price optimization

4.1.1.1.4 Recommendation engine

4.1.1.1.5 SCM

4.1.1.1.6 Visual search

4.1.1.1.7 Others

4.1.1.2 Service

4.1.1.2.1 Professional

4.1.1.2.2 Managed

4.1.2 By Technology

4.1.2.1 Machine learning

4.1.2.2 NLP

4.1.2.3 Computer vision

4.1.2.4 Others

4.2 Value Chain Analysis

4.3 Market Dynamics

4.3.1 Trends

4.3.1.1 Adoption of AI for multi-channel marketing

4.3.2 Drivers

4.3.2.1 Growing e-retail industry

4.3.2.2 Increasing investments in AI by retail companies

4.3.3 Restraints

4.3.3.1 Lack of qualified AI professionals

4.3.3.2 High cost of AI-based solutions

4.3.4 Opportunities

4.3.4.1 Rising demand for AI-based chatbots

4.3.4.2 Growing adoption of AI-based image recognition technology

4.4 Impact of COVID-19 on AI in Retail Market

4.5 Porter’s Five Forces Analysis

4.5.1 Bargaining Power of Buyers

4.5.2 Bargaining Power of Suppliers

4.5.3 Threat of New Entrants

4.5.4 Intensity of Rivalry

4.5.5 Threat of Substitutes

Chapter 5. Global Market Size and Forecast

5.1 By Offering

5.1.1 Solution Market, by Type

5.1.2 Service Market, by Type

5.2 By Technology

5.3 By Region

Chapter 6. North America Market Size and Forecast

6.1 By Offering

6.1.1 Solution Market, by Type

6.1.2 Service Market, by Type

6.2 By Technology

6.3 By Country

Chapter 7. Europe Market Size and Forecast

7.1 By Offering

7.1.1 Solution Market, by Type

7.1.2 Service Market, by Type

7.2 By Technology

7.3 By Country

Chapter 8. APAC Market Size and Forecast

8.1 By Offering

8.1.1 Solution Market, by Type

8.1.2 Service Market, by Type

8.2 By Technology

8.3 By Country

Chapter 9. LATAM Market Size and Forecast

9.1 By Offering

9.1.1 Solution Market, by Type

9.1.2 Service Market, by Type

9.2 By Technology

9.3 By Country

Chapter 10. MEA Market Size and Forecast

10.1 By Offering

10.1.1 Solution Market, by Type

10.1.2 Service Market, by Type

10.2 By Technology

10.3 By Country

Chapter 11. Competitive Landscape

11.1 Ranking of Key Players

11.2 Competitive Benchmarking of Key Players

11.3 Key Players and Their Offerings

11.4 Strategic Developments of Key Players

11.4.1 Partnerships and Collaborations

11.4.2 Mergers and Acquisitions

11.4.3 Others

Chapter 12. Company Profiles

12.1 International Business Machines Corporation

12.1.1 Business Overview

12.1.2 Product and Service Offerings

12.1.3 Key Financial Summary

12.2 Microsoft Corporation

12.2.1 Business Overview

12.2.2 Product and Service offerings

12.2.3 Key Financial Summary

12.3 Google LLC

12.3.1 Business Overview

12.3.2 Product and Service Offerings

12.4 Salesforce.com Inc.

12.4.1 Business Overview

12.4.2 Product and Service Offerings

12.4.3 Key Financial Summary

12.5 Oracle Corporation

12.5.1 Business Overview

12.5.2 Product and Service Offerings

12.6 SAP SE

12.6.1 Business Overview

12.6.2 Product and Service Offerings

12.6.3 Key Financial Summary

12.7 Accenture PLC

12.7.1 Business Overview

12.7.2 Product and Service Offerings

12.7.3 Key Financial Summary

12.8 Infosys Limited

12.8.1 Business Overview

12.8.2 Product and Service Offerings

12.8.3 Key Financial Summary

12.9 Intel Corporation

12.9.1 Business Overview

12.9.2 Product and Service Offerings

12.9.3 Key Financial Summary

12.10 Amazon.com Inc.

12.10.1 Business Overview

12.10.2 Product and Service Offerings

12.10.3 Key Financial Summary

12.11 ViSenze Pte. Ltd.

12.11.1 Business Overview

12.11.2 Product and Service Offerings

12.12 Evolv Technology Solutions Inc.

12.12.1 Business Overview

12.12.2 Product and Service Offerings

Chapter 13. Appendix

13.1 Abbreviations

13.2 Sources and References

13.3 Related Reports

LIST OF TABLES

 

TABLE 1 ANALYSIS PERIOD OF THE STUDY

TABLE 2 DRIVERS FOR THE MARKET: IMPACT ANALYSIS

TABLE 3 RESTRAINTS FOR THE MARKET: IMPACT ANALYSIS

TABLE 4 GLOBAL AI IN RETAIL MARKET, BY OFFERING, $M (2015–2021)

TABLE 5 GLOBAL AI IN RETAIL MARKET, BY OFFERING, $M (2022–2026)

TABLE 6 GLOBAL AI IN RETAIL MARKET, BY OFFERING, $M (2027–2030)

TABLE 7 GLOBAL AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2021)

TABLE 8 GLOBAL AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2022–2026)

TABLE 9 GLOBAL AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2027–2030)

TABLE 10 GLOBAL AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2021)

TABLE 11 GLOBAL AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2022–2026)

TABLE 12 GLOBAL AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2027–2030)

TABLE 13 GLOBAL AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2021)

TABLE 14 GLOBAL AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2022–2026)

TABLE 15 GLOBAL AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2027–2030)

TABLE 16 GLOBAL AI IN RETAIL MARKET, BY REGION, $M (2015–2021)

TABLE 17 GLOBAL AI IN RETAIL MARKET, BY REGION, $M (2022–2026)

TABLE 18 GLOBAL AI IN RETAIL MARKET, BY REGION, $M (2027–2030)

TABLE 19 NORTH AMERICA AI IN RETAIL MARKET, BY OFFERING, $M (2015–2021)

TABLE 20 NORTH AMERICA AI IN RETAIL MARKET, BY OFFERING, $M (2022–2026)

TABLE 21 NORTH AMERICA AI IN RETAIL MARKET, BY OFFERING, $M (2027–2030)

TABLE 22 NORTH AMERICA AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2021)

TABLE 23 NORTH AMERICA AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2022–2026)

TABLE 24 NORTH AMERICA AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2027–2030)

TABLE 25 NORTH AMERICA AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2021)

TABLE 26 NORTH AMERICA AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2022–2026)

TABLE 27 NORTH AMERICA AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2027–2030)

TABLE 28 NORTH AMERICA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2021)

TABLE 29 NORTH AMERICA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2022–2026)

TABLE 30 NORTH AMERICA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2027–2030)

TABLE 31 NORTH AMERICA AI IN RETAIL MARKET, BY COUNTRY, $M (2015–2021)

TABLE 32 NORTH AMERICA AI IN RETAIL MARKET, BY COUNTRY, $M (2022–2026)

TABLE 33 NORTH AMERICA AI IN RETAIL MARKET, BY COUNTRY, $M (2027–2030)

TABLE 34 EUROPE AI IN RETAIL MARKET, BY OFFERING, $M (2015–2021)

TABLE 35 EUROPE AI IN RETAIL MARKET, BY OFFERING, $M (2022–2026)

TABLE 36 EUROPE AI IN RETAIL MARKET, BY OFFERING, $M (2027–2030)

TABLE 37 EUROPE AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2021)

TABLE 38 EUROPE AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2022–2026)

TABLE 39 EUROPE AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2027–2030)

TABLE 40 EUROPE AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2021)

TABLE 41 EUROPE AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2022–2026)

TABLE 42 EUROPE AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2027–2030)

TABLE 43 EUROPE AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2021)

TABLE 44 EUROPE AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2022–2026)

TABLE 45 EUROPE AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2027–2030)

TABLE 46 EUROPE AI IN RETAIL MARKET, BY COUNTRY, $M (2015–2021)

TABLE 47 EUROPE AI IN RETAIL MARKET, BY COUNTRY, $M (2022–2026)

TABLE 48 EUROPE AI IN RETAIL MARKET, BY COUNTRY, $M (2027–2030)

TABLE 49 APAC AI IN RETAIL MARKET, BY OFFERING, $M (2015–2021)

TABLE 50 APAC AI IN RETAIL MARKET, BY OFFERING, $M (2022–2026)

TABLE 51 APAC AI IN RETAIL MARKET, BY OFFERING, $M (2027–2030)

TABLE 52 APAC AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2021)

TABLE 53 APAC AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2022–2026)

TABLE 54 APAC AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2027–2030)

TABLE 55 APAC AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2021)

TABLE 56 APAC AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2022–2026)

TABLE 57 APAC AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2027–2030)

TABLE 58 APAC AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2021)

TABLE 59 APAC AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2022–2026)

TABLE 60 APAC AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2027–2030)

TABLE 61 APAC AI IN RETAIL MARKET, BY COUNTRY, $M (2015–2021)

TABLE 62 APAC AI IN RETAIL MARKET, BY COUNTRY, $M (2022–2026)

TABLE 63 APAC AI IN RETAIL MARKET, BY COUNTRY, $M (2027–2030)

TABLE 64 LATAM AI IN RETAIL MARKET, BY OFFERING, $M (2015–2021)

TABLE 65 LATAM AI IN RETAIL MARKET, BY OFFERING, $M (2022–2026)

TABLE 66 LATAM AI IN RETAIL MARKET, BY OFFERING, $M (2027–2030)

TABLE 67 LATAM AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2021)

TABLE 68 LATAM AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2022–2026)

TABLE 69 LATAM AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2027–2030)

TABLE 70 LATAM AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2021)

TABLE 71 LATAM AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2022–2026)

TABLE 72 LATAM AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2027–2030)

TABLE 73 LATAM AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2021)

TABLE 74 LATAM AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2022–2026)

TABLE 75 LATAM AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2027–2030)

TABLE 76 LATAM AI IN RETAIL MARKET, BY COUNTRY, $M (2015–2021)

TABLE 77 LATAM AI IN RETAIL MARKET, BY COUNTRY, $M (2022–2026)

TABLE 78 LATAM AI IN RETAIL MARKET, BY COUNTRY, $M (2027–2030)

TABLE 79 MEA AI IN RETAIL MARKET, BY OFFERING, $M (2015–2021)

TABLE 80 MEA AI IN RETAIL MARKET, BY OFFERING, $M (2022–2026)

TABLE 81 MEA AI IN RETAIL MARKET, BY OFFERING, $M (2027–2030)

TABLE 82 MEA AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2021)

TABLE 83 MEA AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2022–2026)

TABLE 84 MEA AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2027–2030)

TABLE 85 MEA AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2021)

TABLE 86 MEA AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2022–2026)

TABLE 87 MEA AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2027–2030)

TABLE 88 MEA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2021)

TABLE 89 MEA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2022–2026)

TABLE 90 MEA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2027–2030)

TABLE 91 MEA AI IN RETAIL MARKET, BY COUNTRY, $M (2015–2021)

TABLE 92 MEA AI IN RETAIL MARKET, BY COUNTRY, $M (2022–2026)

TABLE 93 MEA AI IN RETAIL MARKET, BY COUNTRY, $M (2027–2030)

TABLE 94 COMPETITIVE BENCHMARKING OF KEY PLAYERS

TABLE 95 KEY MARKET PLAYERS AND THEIR OFFERINGS

TABLE 96 INTERNATIONAL BUSINESS MACHINES CORPORATION – AT A GLANCE

TABLE 97 INTERNATIONAL BUSINESS MACHINES CORPORATION – KEY FINANCIAL SUMMARY

TABLE 98 MICROSOFT CORPORATION – AT A GLANCE

TABLE 99 MICROSOFT CORPORATION – KEY FINANCIAL SUMMARY

TABLE 100 GOOGLE LLC – AT A GLANCE

TABLE 101 SALESFORCE.COM INC. – AT A GLANCE

TABLE 102 SALESFORCE.COM INC. – KEY FINANCIAL SUMMARY

TABLE 103 ORACLE CORPORATION – AT A GLANCE

TABLE 104 ORACLE CORPORATION – KEY FINANCIAL SUMMARY

TABLE 105 SAP SE – AT A GLANCE

TABLE 106 SAP SE – KEY FINANCIAL SUMMARY

TABLE 107 ACCENTURE PLC – AT A GLANCE

TABLE 108 ACCENTURE PLC – KEY FINANCIAL SUMMARY

TABLE 109 INFOSYS LIMITED – AT A GLANCE

TABLE 110 INFOSYS LIMITED – KEY FINANCIAL SUMMARY

TABLE 111 INTEL CORPORATION – AT A GLANCE

TABLE 112 INTEL CORPORATION – KEY FINANCIAL SUMMARY

TABLE 113 AMAZON.COM INC. – AT A GLANCE

TABLE 114 AMAZON.COM INC. – KEY FINANCIAL SUMMARY

TABLE 115 VISENZE PTE. LTD. – AT A GLANCE

TABLE 116 EVOLV TECHNOLOGY SOLUTIONS INC. – AT A GLANCE

 

LIST OF FIGURES

FIG 1 RESEARCH SCOPE

FIG 2 RESEARCH METHODOLOGY

FIG 3 BREAKDOWN OF PRIMARY RESEARCH BY REGION

FIG 4 BREAKDOWN OF PRIMARY RESEARCH BY INDUSTRY PARTICIPANT

FIG 5 BREAKDOWN OF PRIMARY RESEARCH BY COMPANY TYPE

FIG 6 DATA TRIANGULATION APPROACH

FIG 7 AI IN RETAIL MARKET SUMMARY

FIG 8 VALUE CHAIN ANALYSIS

FIG 9 BARGAINING POWER OF BUYERS

FIG 10 BARGAINING POWER OF SUPPLIERS

FIG 11 THREAT OF NEW ENTRANTS

FIG 12 INTENSITY OF RIVALRY

FIG 13 THREAT OF SUBSTITUTES

FIG 14 GLOBAL AI IN RETAIL MARKET SNAPSHOT

FIG 15 GLOBAL AI IN RETAIL MARKET, BY OFFERING, $M (2015–2030)

FIG 16 GLOBAL AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2030)

FIG 17 GLOBAL AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2030)

FIG 18 GLOBAL AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2030)

FIG 19 MAJOR WORLDWIDE MARKETS FOR AI-BASED RETAIL SOLUTIONS

FIG 20 GLOBAL AI IN RETAIL MARKET, BY REGION, $M (2015–2030)

FIG 21 NORTH AMERICA AI IN RETAIL MARKET SNAPSHOT

FIG 22 NORTH AMERICA AI IN RETAIL MARKET, BY OFFERING, $M (2015–2030)

FIG 23 NORTH AMERICA AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2030)

FIG 24 NORTH AMERICA AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2030)

FIG 25 NORTH AMERICA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2030)

FIG 26 NORTH AMERICA AI IN RETAIL MARKET, BY COUNTRY, $M (2015–2030)

FIG 27 EUROPE AI IN RETAIL MARKET SNAPSHOT

FIG 28 EUROPE AI IN RETAIL MARKET, BY OFFERING, $M (2015–2030)

FIG 29 EUROPE AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2030)

FIG 30 EUROPE AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2030)

FIG 31 EUROPE AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2030)

FIG 32 EUROPE AI IN RETAIL MARKET, BY COUNTRY, $M (2015–2030)

FIG 33 APAC AI IN RETAIL MARKET SNAPSHOT

FIG 34 APAC AI IN RETAIL MARKET, BY OFFERING, $M (2015–2030)

FIG 35 APAC AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2030)

FIG 36 APAC AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2030)

FIG 37 APAC AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2030)

FIG 38 APAC AI IN RETAIL MARKET, BY COUNTRY, $M (2015–2030)

FIG 39 LATAM AI IN RETAIL MARKET SNAPSHOT

FIG 40 LATAM AI IN RETAIL MARKET, BY OFFERING, $M (2015–2030)

FIG 41 LATAM AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2030)

FIG 42 LATAM AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2030)

FIG 43 LATAM AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2030)

FIG 44 LATAM AI IN RETAIL MARKET, BY COUNTRY, $M (2015–2030)

FIG 45 MEA AI IN RETAIL MARKET SNAPSHOT

FIG 46 MEA AI IN RETAIL MARKET, BY OFFERING, $M (2015–2030)

FIG 47 MEA AI IN RETAIL SOLUTION MARKET, BY TYPE, $M (2015–2030)

FIG 48 MEA AI IN RETAIL SERVICE MARKET, BY TYPE, $M (2015–2030)

FIG 49 MEA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2015–2030)

FIG 50 MEA AI IN RETAIL MARKET, BY COUNTRY, $M (2015–2030)

FIG 51 RANKING OF MAJOR PLAYERS IN AI IN RETAIL MARKET (2021)

FIG 52 INTERNATIONAL BUSINESS MACHINES CORPORATION – REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2020)

FIG 53 MICROSOFT CORPORATION – REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2020)

FIG 54 SALESFORCE.COM INC. – REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2020)

FIG 55 ORACLE CORPORATION – REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2020)

FIG 56 SAP SE – REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2020)

FIG 57 ACCENTURE PLC – REVENUE SPLIT BY GEOGRAPHY (2020)

FIG 58 INFOSYS LIMITED – REVENUE SPLIT BY SEGMENT AND BY GEOGRAPHY (2020)

FIG 59 INTEL CORPORATION – REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2020)

FIG 60 AMAZON.COM INC. – REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2020)



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