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小売業向け人工知能(AI)の世界市場:ソリューション別、用途別2022年予測

Artificial Intelligence in Retail Market by Type (Online, Offline), Technology (Machine Learning and Deep Learning, NLP), Solution, Service (Professional, Managed), Deployment Mode (Cloud, On-Premises), Application, Region - Global Forecast to 2022

出版元:MarketsandMarketsLinkIcon出版元について
発行年:2017年10月
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【レポート紹介】
小売業向け人工知能(AI)の世界市場は今後大きな成長が期待されます。2017年の同市場規模は推定9億9360万ドル、今後2022年には50億3400万ドル市場に拡大すると予測されます。2017年から2022年までの市場規模の平均年成長率(CAGR)は38.3%とレポートでは分析しています。AI活用によるカスタマーエクスペリエンスの向上、在庫管理の精度・効率向上、生産性やROIの改善、などの様々な利点への認知は高まりつつあり、同市場の促進要因に挙げることができるでしょう。
当レポートでは、2022年に至る小売業向け人工知能(AI)市場の世界市場予測(市場規模US$)、オン/オフラインリテール別市場、技術別市場(機械学習/深層学習、自然言語処理)、ソリューション別市場(商品お勧め/プランニング、顧客関係管理、視覚探索、バーチャルアシスタント、価格最適化、支払いサービス管理、サプライチェーン管理/需要計画)、サービス別市場(専門サービス、マネージドサービス)、展開モード別市場(クラウド、オンプレミス)、用途別市場(予測マーチャンダイジング、プログラマティック広告、市場予測、インストア視覚監視、ロケーションベースマーケティング)、主要国地域別市場など、詳細な市場予測データと分析を掲載しています。また市場分析、競合状況、主要メーカー企業11社プロフィール動向などの情報も交えて、小売業向け人工知能(AI)市場の現在と今後展開を予測分析していきます。

【レポート構成概要】pic01_Semi.jpg
◆ 小売業向け人工知能(AI)の世界市場予測2015-2022年
・市場規模(US$)

◆ タイプ別、市場-2022年
・オンラインリテール
・オフラインリテール
※(市場規模US$) 

◆ 技術別、市場-2022年
・機械学習及び深層学習
・自然言語処理
・その他
※(市場規模US$)

◆ ソリューション別、市場-2022年
・商品お勧め及びプランニング
・顧客関係管理
・視覚探索
・バーチャルアシスタント
・価格最適化
・支払いサービス管理
・サプライチェーン管理及び需要計画
・その他
※(市場規模US$)

◆ サービス別、市場-2022年
・専門サービス
・マネージドサービス
※(市場規模US$)

◆ 展開モード別、市場-2022年
・クラウド
・オンプレミス
※(市場規模US$)

◆ 用途別、市場-2022年
・予測マーチャンダイジング
・プログラマティック広告
・市場予測
・インストア視覚監視
・ロケーションベースマーケティング
・その他
※(市場規模US$)

◆主要地域別市場-2022年
・北米
・欧州
・アジア太平洋
・中南米
・中東アフリカ
※ 各地域別に全てのセグメントにおける細分化データ掲載、詳細は目次参照

◆市場分析
・市場ダイナミクス(ドライバー、障壁、機会、課題)
・使用事例
・規制動向

◆ 小売業向け人工知能(AI)の主要企業プロフィール動向
・IBM
・MICROSOFT
・NVIDIA
・AMAZON WEB SERVICES
・ORACLE
・SAP
・INTEL
・GOOGLE
・SENTIENT TECHNOLOGIES
・SALESFORCE
・VISENZE

(全140頁)
【レポート詳細目次、データ項目一覧は当ページ下を参照ください】

英文詳細目次(table of contents)

【原文詳細目次】

Artificial Intelligence in Retail Market by Type (Online, Offline), Technology (Machine Learning and Deep Learning, NLP), Solution, Service (Professional, Managed), Deployment Mode (Cloud, On-Premises), Application, Region - Global Forecast to 2022

Table of Contents

1 INTRODUCTION 15

1.1 OBJECTIVES OF THE STUDY 15
1.2 MARKET DEFINITION 15
1.3 MARKET SCOPE 16
1.3.1 YEARS CONSIDERED FOR THE STUDY 17
1.3.2 CURRENCY 17
1.4 STAKEHOLDERS 18

2 RESEARCH METHODOLOGY 19

2.1 RESEARCH DATA 20
2.1.1 SECONDARY DATA 20
2.1.2 PRIMARY DATA 20
2.1.2.1 Key industry insights 21
2.2 MARKET SIZE ESTIMATION 21
2.2.1 BOTTOM-UP APPROACH 22
2.2.2 TOP-DOWN APPROACH 22
2.3 RESEARCH ASSUMPTIONS 24
2.4 LIMITATIONS 24

3 EXECUTIVE SUMMARY 25
4 PREMIUM INSIGHTS 28

4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET 28
4.2 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: TECHNOLOGIES 28
4.3 LIFECYCLE ANALYSIS, BY REGION, 2017–2022 29

5 MARKET OVERVIEW AND INDUSTRY TRENDS 30

5.1 INTRODUCTION 30
5.2 MARKET DYNAMICS 30
5.2.1 DRIVERS 31
5.2.1.1 Increasing necessity for superior surveillance and monitoring at physically present retail stores 31
5.2.1.2 Growing awareness and application of AI in the retail industry 31
5.2.1.3 To enhance end-user experience, improve productivity, and generate more revenue 31
5.2.1.4 To maintain inventory accuracy and supply chain optimization 32
5.2.2 RESTRAINTS 32
5.2.2.1 Incompatibility concerns 32
5.2.3 OPPORTUNITIES 33
5.2.3.1 Increase in AI-based data analysis application 33
5.2.3.2 Growing number of smartphones 33
5.2.3.3 Increase in adoption of cloud-based technology solutions 33
5.2.4 CHALLENGES 34
5.2.4.1 Issues with diverse development framework, models, and mechanism in AI 34
5.2.4.2 Concerns over privacy and identity of individuals 34
5.2.4.3 Lack of skilled staff 35
5.3 INDUSTRY TRENDS 35
5.3.1 INTRODUCTION 35
5.3.2 USE CASES 35
5.3.2.1 Scenario 1 35
5.3.2.2 Scenario 2 36
5.3.2.3 Scenario 3 36
5.3.2.4 Scenario 4 36
5.3.2.5 Scenario 5 36
5.3.2.6 Scenario 6 36
5.3.2.7 Scenario 7 37
5.3.2.8 Scenario 8 37
5.3.2.9 Scenario 9 37
5.3.2.10 Scenario 10 37
5.3.2.11 Scenario 11 38
5.3.2.12 Scenario 12 38
5.4 REGULATORY IMPLICATIONS 38
5.4.1 INTRODUCTION 38
5.4.2 SARBANES-OXLEY ACT OF 2002 38
5.4.3 GENERAL DATA PROTECTION REGULATION 39
5.4.4 BASEL 39

6 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS, BY TYPE 40

6.1 INTRODUCTION 41
6.2 ONLINE RETAIL 42
6.3 OFFLINE RETAIL 43

7 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS, BY TECHNOLOGY 44

7.1 INTRODUCTION 45
7.2 MACHINE LEARNING AND DEEP LEARNING 46
7.2.1 FACIAL RECOGNITION 47
7.2.2 EMOTION DETECTION 47
7.3 NATURAL LANGUAGE PROCESSING 48 
7.4 OTHERS 49
7.4.1 ANALYTICS 49
7.4.2 PROCESS AUTOMATION 49

8 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS, BY SOLUTION 50

8.1 INTRODUCTION 51
8.2 PRODUCT RECOMMENDATION AND PLANNING 52
8.3 CUSTOMER RELATIONSHIP MANAGEMENT 53
8.4 VISUAL SEARCH 54
8.5 VIRTUAL ASSISTANT 55
8.6 PRICE OPTIMIZATION 56
8.7 PAYMENT SERVICES MANAGEMENT 56
8.8 SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING 57
8.9 OTHERS 58

9 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS, BY SERVICE 60

9.1 INTRODUCTION 61
9.2 PROFESSIONAL SERVICES 62
9.3 MANAGED SERVICES 63

10 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS,

BY DEPLOYMENT MODE 64
10.1 INTRODUCTION 65
10.2 CLOUD 66
10.3 ON-PREMISES 67

11 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET ANALYSIS, BY APPLICATION 68

11.1 INTRODUCTION 69
11.2 PREDICTIVE MERCHANDISING 70
11.3 PROGRAMMATIC ADVERTISING 70
11.4 MARKET FORECASTING 71
11.5 IN-STORE VISUAL MONITORING AND SURVEILLANCE 72
11.6 LOCATION-BASED MARKETING 72
11.7 OTHERS 73
11.7.1 REAL-TIME PRICING AND INCENTIVES 73
11.7.2 REAL-TIME PRODUCT TARGETING 73

12 GEOGRAPHIC ANALYSIS 75

12.1 INTRODUCTION 76
12.2 NORTH AMERICA 77
12.2.1 NORTH AMERICA, BY TYPE 79
12.2.2 NORTH AMERICA, BY TECHNOLOGY 79
12.2.3 NORTH AMERICA, BY SOLUTION 80
12.2.4 NORTH AMERICA, BY SERVICE 80
12.2.5 NORTH AMERICA, BY DEPLOYMENT MODE 81
12.2.6 NORTH AMERICA, BY APPLICATION 81
12.3 EUROPE 82
12.3.1 EUROPE, BY TYPE 82
12.3.2 EUROPE, BY TECHNOLOGY 83
12.3.3 EUROPE, BY SOLUTION 83
12.3.4 EUROPE, BY SERVICE 84
12.3.5 EUROPE, BY DEPLOYMENT MODE 84
12.3.6 EUROPE, BY APPLICATION 85
12.4 ASIA PACIFIC 85
12.4.1 ASIA PACIFIC, BY TYPE 87
12.4.2 ASIA PACIFIC, BY TECHNOLOGY 87
12.4.3 ASIA PACIFIC, BY SOLUTION 88
12.4.4 ASIA PACIFIC, BY SERVICE 88
12.4.5 ASIA PACIFIC, BY DEPLOYMENT MODE 89
12.4.6 ASIA PACIFIC, BY APPLICATION 89
12.5 LATIN AMERICA 90
12.5.1 LATIN AMERICA, BY TYPE 90
12.5.2 LATIN AMERICA, BY TECHNOLOGY 90
12.5.3 LATIN AMERICA, BY SOLUTION 91
12.5.4 LATIN AMERICA, BY SERVICE 91
12.5.5 LATIN AMERICA, BY DEPLOYMENT MODE 92
12.5.6 LATIN AMERICA, BY APPLICATION 92
12.6 MIDDLE EAST AND AFRICA 93
12.6.1 MIDDLE EAST AND AFRICA, BY TYPE 93
12.6.2 MIDDLE EAST AND AFRICA, BY TECHNOLOGY 93
12.6.3 MIDDLE EAST AND AFRICA, BY SOLUTION 94
12.6.4 MIDDLE EAST AND AFRICA, BY SERVICE 94
12.6.5 MIDDLE EAST AND AFRICA, BY DEPLOYMENT MODE 95
12.6.6 MIDDLE EAST AND AFRICA, BY APPLICATION 95

13 COMPANY PROFILES 96

13.1 IBM 96
(Overview, Strength of Product Portfolio, Business Strategy Excellence, and Recent Developments)*
13.2 MICROSOFT 100
13.3 NVIDIA 103
13.4 AMAZON WEB SERVICES 107
13.5 ORACLE 110
13.6 SAP 113
13.7 INTEL 116
13.8 GOOGLE 119
13.9 SENTIENT TECHNOLOGIES 122
13.10 SALESFORCE 124
13.11 VISENZE 127
*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, and Recent Developments might not be captured in case of unlisted companies.
14 APPENDIX 129

LIST OF TABLES

TABLE 1 CURRENCY EXCHANGE RATE 17
TABLE 2 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE,
2015–2022 (USD MILLION) 41
TABLE 3 ONLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 42
TABLE 4 OFFLINE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 43
TABLE 5 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY,
2015–2022 (USD MILLION) 45
TABLE 6 MACHINE LEARNING AND DEEP LEARNING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 47
TABLE 7 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 48
TABLE 8 OTHERS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 49
TABLE 9 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION,
2015–2022 (USD MILLION) 51
TABLE 10 PRODUCT RECOMMENDATION AND PLANNING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 53
TABLE 11 CUSTOMER RELATIONSHIP MANAGEMENT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 54
TABLE 12 VISUAL SEARCH: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 54
TABLE 13 VIRTUAL ASSISTANT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 55
TABLE 14 PRICE OPTIMIZATION: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 56
TABLE 15 PAYMENT SERVICES MANAGEMENT: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 57
TABLE 16 SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 58
TABLE 17 OTHERS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 59
TABLE 18 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 61
TABLE 19 PROFESSIONAL SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 62
TABLE 20 MANAGED SERVICES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 63
TABLE 21 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 65
TABLE 22 CLOUD: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 66
TABLE 23 ON-PREMISES: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 67
TABLE 24 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION,
2015–2022 (USD MILLION) 69
TABLE 25 PREDICTIVE MERCHANDISING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 70
TABLE 26 PROGRAMMATIC ADVERTISING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 71
TABLE 27 MARKET FORECASTING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY REGION, 2015–2022 (USD MILLION) 71
TABLE 28 IN-STORE VISUAL MONITORING AND SURVEILLANCE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 72
TABLE 29 LOCATION-BASED MARKETING: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 73
TABLE 30 OTHERS: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 74
TABLE 31 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 77
TABLE 32 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION) 79
TABLE 33 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY TECHNOLOGY, 2015–2022 (USD MILLION) 79
TABLE 34 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY SOLUTION, 2015–2022 (USD MILLION) 80
TABLE 35 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 80
TABLE 36 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 81
TABLE 37 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY APPLICATION, 2015–2022 (USD MILLION) 81
TABLE 39 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE,
2015–2022 (USD MILLION) 82
TABLE 40 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TECHNOLOGY, 2015–2022 (USD MILLION) 83
TABLE 41 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION,
2015–2022 (USD MILLION) 83
TABLE 42 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 84
TABLE 43 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 84
TABLE 44 EUROPE: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION, 2015–2022 (USD MILLION) 85
TABLE 45 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE,
2015–2022 (USD MILLION) 87
TABLE 46 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY TECHNOLOGY, 2015–2022 (USD MILLION) 87
TABLE 47 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION, 2015–2022 (USD MILLION) 88
TABLE 48 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 88
TABLE 49 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 89
TABLE 50 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY APPLICATION, 2015–2022 (USD MILLION) 89
TABLE 51 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY TYPE, 2015–2022 (USD MILLION) 90
TABLE 52 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY TECHNOLOGY, 2015–2022 (USD MILLION) 90
TABLE 53 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SOLUTION, 2015–2022 (USD MILLION) 91
TABLE 54 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 91
TABLE 55 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 92
TABLE 56 LATIN AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY APPLICATION, 2015–2022 (USD MILLION) 92
TABLE 57 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY TYPE, 2015–2022 (USD MILLION) 93
TABLE 58 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY TECHNOLOGY, 2015–2022 (USD MILLION) 93
TABLE 59 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY SOLUTION, 2015–2022 (USD MILLION) 94
TABLE 60 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY SERVICE, 2015–2022 (USD MILLION) 94
TABLE 61 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY DEPLOYMENT MODE, 2015–2022 (USD MILLION) 95
TABLE 62 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SIZE,
BY APPLICATION, 2015–2022 (USD MILLION) 95

LIST OF FIGURES

FIGURE 1 MARKETS COVERED 16
FIGURE 2 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: RESEARCH DESIGN 19
FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION,
AND REGION 20
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 22
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 22
FIGURE 6 DATA TRIANGULATION 23
FIGURE 7 GLOBAL ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SNAPSHOT (2017–2022) 26
FIGURE 8 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SNAPSHOT,
BY SOLUTION AND SERVICE 27
FIGURE 9 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SNAPSHOT, BY REGION 27
FIGURE 10 DEMAND FOR PERSONALIZED PRODUCT RECOMMENDATION IS ONE OF THE MAJOR FACTORS DRIVING THE OVERALL GROWTH OF THE AI IN RETAIL MARKET DURING THE FORECAST PERIOD 28
FIGURE 11 NATURAL LANGUAGE PROCESSING TECHNOLOGY IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 28
FIGURE 12 ASIA PACIFIC IS EXPECTED TO EXHIBIT THE HIGHEST GROWTH POTENTIAL DURING THE FORECAST PERIOD 29
FIGURE 13 NORTH AMERICA, AND PRODUCT RECOMMENDATION AND PLANNING ARE EXPECTED TO HAVE THE HIGHEST MARKET SHARES DURING THE FORECAST PERIOD 29
FIGURE 14 ARTIFICIAL INTELLIGENCE IN RETAIL MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 30
FIGURE 15 OFFLINE TYPE IS EXPECTED TO GROW WITH A HIGHER GROWTH RATE IN THE AI IN RETAIL MARKET DURING THE FORECAST PERIOD 41
FIGURE 16 NATURAL LANGUAGE PROCESSING SEGMENT IS EXPECTED TO BE THE FASTEST GROWING TECHNOLOGY IN THE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET 46
FIGURE 17 VISUAL SEARCH SEGMENT IS EXPECTED TO BE THE FASTEST GROWING SOLUTION DURING THE FORECAST PERIOD 52
FIGURE 18 MANAGED SERVICES SEGMENT IS EXPECTED TO BE THE FASTER GROWING SEGMENT DURING THE FORECAST PERIOD 61
FIGURE 19 ON-PREMISES DEPLOYMENT MODE IS EXPECTED TO HAVE THE HIGHER GROWTH RATE IN THE ARTIFICIAL INTELLIGENCE IN RETAIL MARKET DURING THE FORECAST PERIOD 65
FIGURE 20 IN-STORE VISUAL MONITORING AND SURVEILLANCE SEGMENT IS EXPECTED TO BE THE FASTEST GROWING APPLICATION DURING THE FORECAST PERIOD 69
FIGURE 21 ASIA PACIFIC IS EXPECTED TO BE THE MOST ATTRACTIVE MARKET FOR RETAILERS DURING THE FORECAST PERIOD 76
FIGURE 22 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SNAPSHOT 78
FIGURE 23 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN RETAIL MARKET SNAPSHOT 86
FIGURE 24 IBM: COMPANY SNAPSHOT 96
FIGURE 25 MICROSOFT: COMPANY SNAPSHOT 100
FIGURE 26 NVIDIA: COMPANY SNAPSHOT 103
FIGURE 27 AMAZON WEB SERVICES: COMPANY SNAPSHOT 107
FIGURE 28 ORACLE: COMPANY SNAPSHOT 110
FIGURE 29 SAP: COMPANY SNAPSHOT 113
FIGURE 30 INTEL: COMPANY SNAPSHOT 116
FIGURE 31 GOOGLE: COMPANY SNAPSHOT 119
FIGURE 32 SALESFORCE: COMPANY SNAPSHOT 124

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