特集: 調査項目の変更・追加が可能なセミカスタムオーダー型の調査レポート(Lucintel社)はこちら

特集 : 国別の市場調査レポートをお探しの方はこちら

株式会社グローバルインフォメーション
TEL: 044-952-0102
市場調査レポート

小売向けAIの世界市場:産業分析・成長予測

AI in Retail Market Research Report: By Offering, Technology, Regional Insight and Global Industry Analysis and Growth Forecast to 2024

発行 Prescient & Strategic Intelligence Private Limited 商品コード 911262
出版日 ページ情報 英文 154 Pages
納期: 2-3営業日
価格
本日の銀行送金レート: 1USD=108.13円で換算しております。
小売向けAIの世界市場:産業分析・成長予測 AI in Retail Market Research Report: By Offering, Technology, Regional Insight and Global Industry Analysis and Growth Forecast to 2024
出版日: 2019年07月01日 ページ情報: 英文 154 Pages
概要

当レポートでは、世界の小売向けAI市場について調査分析し、市場概要、地域別の市場分析と予測、競合情勢、主要企業などについて、体系的な情報を提供しています。

第1章 調査の背景

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

第5章 世界の市場規模・予測

  • 提供別
  • 技術別
  • 地域別

第6章 北米の市場規模・予測

  • 提供別
  • 技術別
  • 国別

第7章 欧州の市場規模・予測

  • 提供別
  • 技術別
  • 国別

第8章 アジア太平洋地域の市場規模・予測

  • 提供別
  • 技術別
  • 国別

第9章 ラテンアメリカの市場規模・予測

  • 提供別
  • 技術別
  • 国別

第10章 中東・アフリカの市場規模・予測

  • 提供別
  • 技術別
  • 国別

第11章 競合情勢

  • 主要企業のランキング
  • 主要企業の競合ベンチマーキング
  • 主要企業と提供
  • 主要企業の最近の活動
  • 主要企業の戦略的発展

第12章 企業プロファイル

  • International Business Machines Corporation
  • Microsoft Corporation
  • Google LLC
  • salesforce.com inc.
  • Oracle Corporation
  • SAP SE
  • Accenture PLC
  • Infosys Limited
  • Intel Corporation
  • Amazon Web Services Inc.
  • ViSenze Pte. Ltd.
  • Evolv Technologies Inc.
  • Numenta Inc.

第13章 付録

図表

List of Tables

  • TABLEE 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 (2014-2018)
  • TABLE 5 GLOBAL AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
  • TABLE 6 GLOBAL AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 7 GLOBAL AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 8 GLOBAL AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 9 GLOBAL AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 10 GLOBAL AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 11 GLOBAL AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 12 GLOBAL AI IN RETAIL MARKET, BY REGION, $M (2014-2018)
  • TABLE 13 GLOBAL AI IN RETAIL MARKET, BY REGION, $M (2019-2024)
  • TABLE 14 NORTH AMERICA AI IN RETAIL MARKET, BY OFFERING, $M (2014-2018)
  • TABLE 15 NORTH AMERICA AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
  • TABLE 16 NORTH AMERICA AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 17 NORTH AMERICA AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 18 NORTH AMERICA AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 19 NORTH AMERICA AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 20 NORTH AMERICA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 21 NORTH AMERICA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 22 NORTH AMERICA AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 23 NORTH AMERICA AI IN RETAIL MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 24 EUROPE AI IN RETAIL MARKET, BY OFFERING, $M (2014-2018)
  • TABLE 25 EUROPE AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
  • TABLE 26 EUROPE AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 27 EUROPE AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 28 EUROPE AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 29 EUROPE AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 30 EUROPE AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 31 EUROPE AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 32 EUROPE AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 33 EUROPE AI IN RETAIL MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 34 APAC AI IN RETAIL MARKET, BY OFFERING, $M (2014-2018)
  • TABLE 35 APAC AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
  • TABLE 36 APAC AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 37 APAC AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 38 APAC AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 39 APAC AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 40 APAC AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 41 APAC AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 42 APAC AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 43 APAC AI IN RETAIL MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 44 LATAM AI IN RETAIL MARKET, BY OFFERING, $M (2014-2018)
  • TABLE 45 LATAM AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
  • TABLE 46 LATAM AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 47 LATAM AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 48 LATAM AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 49 LATAM AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 50 LATAM AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 51 LATAM AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 52 LATAM AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 53 LATAM AI IN RETAIL MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 54 MEA AI IN RETAIL MARKET, BY OFFERING, $M (2014-2018)
  • TABLE 55 MEA AI IN RETAIL MARKET, BY OFFERING, $M (2019-2024)
  • TABLE 56 MEA AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 57 MEA AI IN RETAIL MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 58 MEA AI IN RETAIL MARKET, BY SERVICE, $M (2014-2018)
  • TABLE 59 MEA AI IN RETAIL MARKET, BY SERVICE, $M (2019-2024)
  • TABLE 60 MEA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 61 MEA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 62 MEA AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 63 MEA AI IN RETAIL MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 64 KEY MARKET PLAYERS AND THEIR OFFERINGS
  • TABLE 65 INTERNATIONAL BUSINESS MACHINES CORPORATION - AT A GLANCE
  • TABLE 66 INTERNATIONAL BUSINESS MACHINES CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 67 MICROSOFT CORPORATION - AT A GLANCE
  • TABLE 68 MICROSOFT CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 69 GOOGLE LLC - AT A GLANCE
  • TABLE 70 SALESFORCE.COM INC. - AT A GLANCE
  • TABLE 71 SALESFORCE.COM INC. - KEY FINANCIAL SUMMARY
  • TABLE 72 ORACLE CORPORATION - AT A GLANCE
  • TABLE 73 ORACLE CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 74 SAP SE - AT A GLANCE
  • TABLE 75 SAP SE - KEY FINANCIAL SUMMARY
  • TABLE 76 ACCENTURE PLC - AT A GLANCE
  • TABLE 77 ACCENTURE PLC - KEY FINANCIAL SUMMARY
  • TABLE 78 INFOSYS LIMITED - AT A GLANCE
  • TABLE 79 INFOSYS LIMITED - KEY FINANCIAL SUMMARY
  • TABLE 80 INTEL CORPORATION - AT A GLANCE
  • TABLE 81 INTEL CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 82 AMAZON WEB SERVICES INC. - AT A GLANCE
  • TABLE 83 VISENZE PTE. LTD. - AT A GLANCE
  • TABLE 84 EVOLV TECHNOLOGIES INC. - AT A GLANCE
  • TABLE 85 NUMENTA INC. - AT A GLANCE

List of Figures

  • FIG 1 RESEARCH SCOPE
  • FIG 2 RESEARCH METHODOLOGY
  • FIG 3 REGIONAL SPLIT OF PRIMARY AND SECONDARY RESEARCH
  • FIG 4 BREAKDOWN OF PRIMARY RESEARCH BY REGION
  • FIG 5 BREAKDOWN OF PRIMARY RESEARCH BY INDUSTRY PARTICIPANT
  • FIG 6 BREAKDOWN OF PRIMARY RESEARCH BY COMPANY TYPE
  • FIG 7 DATA TRIANGULATION APPROACH
  • FIG 8 AI IN RETAIL MARKET SUMMARY
  • FIG 9 VALUE CHAIN ANALYSIS
  • FIG 10 BARGAINING POWER OF BUYERS
  • FIG 11 BARGAINING POWER OF SUPPLIERS
  • FIG 12 THREAT OF NEW ENTRANTS
  • FIG 13 INTENSITY OF RIVALRY
  • FIG 14 THREAT OF SUBSTITUTES
  • FIG 15 GLOBAL AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
  • FIG 16 GLOBAL AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 17 GLOBAL AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
  • FIG 18 GLOBAL AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 19 WORLDWIDE MAJOR MARKETS FOR AI IN RETAIL
  • FIG 20 GLOBAL AI IN RETAIL MARKET, BY REGION, $M (2014-2024)
  • FIG 21 NORTH AMERICA AI IN RETAIL MARKET SNAPSHOT
  • FIG 22 NORTH AMERICA AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
  • FIG 23 NORTH AMERICA AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 24 NORTH AMERICA AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
  • FIG 25 NORTH AMERICA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 26 NORTH AMERICA AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 27 EUROPE AI IN RETAIL MARKET SNAPSHOT
  • FIG 28 EUROPE AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
  • FIG 29 EUROPE AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 30 EUROPE AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
  • FIG 31 EUROPE AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 32 EUROPE AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 33 APAC AI IN RETAIL MARKET SNAPSHOT
  • FIG 34 APAC AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
  • FIG 35 APAC AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 36 APAC AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
  • FIG 37 APAC AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 38 APAC AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 39 LATAM AI IN RETAIL MARKET SNAPSHOT
  • FIG 40 LATAM AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
  • FIG 41 LATAM AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 42 LATAM AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
  • FIG 43 LATAM AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 44 LATAM AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 45 MEA AI IN RETAIL MARKET SNAPSHOT
  • FIG 46 MEA AI IN RETAIL MARKET, BY OFFERING, $M (2014-2024)
  • FIG 47 MEA AI IN RETAIL MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 48 MEA AI IN RETAIL MARKET, BY SERVICE, $M (2014-2024)
  • FIG 49 MEA AI IN RETAIL MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 50 MEA AI IN RETAIL MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 51 RANKING OF MAJOR PLAYERS IN AI IN RETAIL MARKET (2018)
  • FIG 52 RECENT ACTIVITIES OF MAJOR PLAYERS
目次

The global artificial intelligence (AI) in retail market attained $720.0 million in 2018 and is predicted to witness a CAGR of 35.4% during 2019-2024 (forecast period). The factors contributing to the growth of the market include the increasing investments in AI by retail companies and expanding e-retail industry. With AI, retailers have been able to automate their work processes, study consumer behavior, and capture relevant data through the adoption of numerous advanced technologies, such as machine learning, natural language processing (NLP), and computer vision.

When technology is considered, the AI in retail market is divided into computer vision, NLP, machine learning, and others (which include gesture recognition and analytics). Machine learning generated the highest revenue during the historical period (2014-2018) and is expected to dominate the market during the forecast period as well. The reason for this is the rising use of this technology by online retailers to enhance the customer experience by offering personalized services. The highest CAGR is also projected to be registered by the machine learning technology during the forecast period.

On the basis of offering, the AI in retail market is bifurcated into solution and service. The category of solutions is projected to contribute higher revenue to the market during the forecast period due to their growing adoption by e-commerce enterprises in North America for providing better shopping experience to customers. This category is further divided into supply chain management, visual search, price optimization, customer relationship management, recommendation engine, chatbot, and others. Among these, the recommendation engine division is expected to register the highest CAGR during the forecast period.

Market Segmentation by Offering

  • Solution
  • Chatbot
  • Customer Behavior Tracking
  • Customer Relationship Management (CRM)
  • Data Analytics & Visualization
  • Fraud Detection
  • Others
  • Service
  • Professional
  • Managed

Market Segmentation by Technology

  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Others

Market Segmentation by End-Use

  • Banking
  • Insurance
  • Wealth Management

Market Segmentation by Geography

  • North America AI in BFSI Market
    • By offering
    • By technology
    • By end-use
    • By country (U.S., Canada)
  • Europe AI in BFSI Market
    • By offering
    • By technology
    • By end-use
    • By country (UK, Germany, France, Russia, Italy, Rest of Europe)
  • Asia-Pacific (APAC) AI in BFSI Market
    • By offering
    • By technology
    • By end-use
    • By country (China, India, Japan, South Korea, Australia, Rest of APAC)
  • Latin America (LATAM) AI in BFSI Market
    • By offering
    • By technology
    • By end-use
    • By country (Mexico, Brazil, Rest of LATAM)
  • Middle East and Africa (MEA) AI in BFSI Market
    • By offering
    • By technology
    • By end-use
    • By country (U.A.E, Saudi Arabia, Turkey, South Africa, Rest of MEA)

Table of Contents

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 Geography
    • 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 Recommendation engine
        • 4.1.1.1.2 SCM
        • 4.1.1.1.3 CRM
        • 4.1.1.1.4 Chatbot
        • 4.1.1.1.5 Price optimization
        • 4.1.1.1.6 Visual search
        • 4.1.1.1.7 Others
      • 4.1.1.2 Service
        • 4.1.1.2.1 Managed
        • 4.1.1.2.2 Professional
    • 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 Increasing 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 Demand for AI-based chatbots
      • 4.3.4.2 Growing adoption of AI-based image recognition technology
  • 4.4 Porter's Five Forces Analysis
    • 4.4.1 Bargaining Power of Buyers
    • 4.4.2 Bargaining Power of Suppliers
    • 4.4.3 Threat of New Entrants
    • 4.4.4 Intensity of Rivalry
    • 4.4.5 Threat of Substitutes

Chapter 5. Global Market Size and Forecast

  • 5.1 By Offering
    • 5.1.1 AI in Retail Market, by Solution
    • 5.1.2 AI in Retail Market, by Service
  • 5.2 By Technology
  • 5.3 By Region

Chapter 6. North America Market Size and Forecast

  • 6.1 By Offering
    • 6.1.1 AI in Retail Market, by Solution
    • 6.1.2 AI in Retail Market, by Service
  • 6.2 By Technology
  • 6.3 By Country

Chapter 7. Europe Market Size and Forecast

  • 7.1 By Offering
    • 7.1.1 AI in Retail Market, by Solution
    • 7.1.2 AI in Retail Market, by Service
  • 7.2 By Technology
  • 7.3 By Country

Chapter 8. APAC Market Size and Forecast

  • 8.1 By Offering
    • 8.1.1 AI in Retail Market, by Solution
    • 8.1.2 AI in Retail Market, by Service
  • 8.2 By Technology
  • 8.3 By Country

Chapter 9. LATAM Market Size and Forecast

  • 9.1 By Offering
    • 9.1.1 AI in Retail Market, by Solution
    • 9.1.2 AI in Retail Market, by Service
  • 9.2 By Technology
  • 9.3 By Country

Chapter 10. MEA Market Size and Forecast

  • 10.1 By Offering
    • 10.1.1 AI in Retail Market, by Solution
    • 10.1.2 AI in Retail Market, by Service
  • 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 Recent Activities of Major Players
  • 11.5 Strategic Developments of Key Players
    • 11.5.1 Mergers and Acquisitions
    • 11.5.2 Partnerships
    • 11.5.3 Product Launches
    • 11.5.4 Other Developments

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
    • 12.1.4 SWOT Analysis
  • 12.2 Microsoft Corporation
    • 12.2.1 Business Overview
    • 12.2.2 Product and Service Offerings
    • 12.2.3 Key Financial Summary
    • 12.2.4 SWOT Analysis
  • 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
    • 12.4.4 SWOT Analysis
  • 12.5 Oracle Corporation
    • 12.5.1 Business Overview
    • 12.5.2 Product and Service Offerings
    • 12.5.3 SWOT Analysis
  • 12.6 SAP SE
    • 12.6.1 Business Overview
    • 12.6.2 Product and Service Offerings
    • 12.6.3 Key Financial Summary
    • 12.6.4 SWOT Analysis
  • 12.7 Accenture PLC
    • 12.7.1 Business Overview
    • 12.7.2 Product and Service Offerings
    • 12.7.3 Key Financial Summary
    • 12.7.4 SWOT Analysis
  • 12.8 Infosys Limited
    • 12.8.1 Business Overview
    • 12.8.2 Product and Service Offerings
    • 12.8.3 Key Financial Summary
    • 12.8.4 SWOT Analysis
  • 12.9 Intel Corporation
    • 12.9.1 Business Overview
    • 12.9.2 Product and Service Offerings
    • 12.9.3 Key Financial Summary
    • 12.9.4 SWOT Analysis
  • 12.10 Amazon Web Services Inc.
    • 12.10.1 Business Overview
    • 12.10.2 Product and Service Offerings
  • 12.11 ViSenze Pte. Ltd.
    • 12.11.1 Business Overview
    • 12.11.2 Product and Service Offerings
  • 12.12 Evolv Technologies Inc.
    • 12.12.1 Business Overview
    • 12.12.2 Product and Service Offerings
  • 12.13 Numenta Inc.
    • 12.13.1 Business Overview
    • 12.13.2 Product and Service Offerings

Chapter 13. Appendix

  • 13.1 Abbreviations
  • 13.2 Sources and References
  • 13.3 Related Reports