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市場調查報告書

全球零售業的人工智能市場:成長,趨勢,預測(2018年∼2023年)

Artificial Intelligence in Retail Market - Growth, Trends and Forecast (2019 - 2024)

出版商 Mordor Intelligence LLP 商品編碼 669968
出版日期 內容資訊 英文 120 Pages
商品交期: 2-3個工作天內
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全球零售業的人工智能市場:成長,趨勢,預測(2018年∼2023年) Artificial Intelligence in Retail Market - Growth, Trends and Forecast (2019 - 2024)
出版日期: 2019年05月01日內容資訊: 英文 120 Pages
簡介

全球零售業的人工智能市場在2018年到2023年間,預測將以超越35%的年複合成長率增長。

本報告提供全球零售業的人工智能市場調查,提供市場概要,各產品類型·服務·引進類型·用途·各地區市場規模的變化與預測,市場趨勢,市場規模的變化與預測,成長要素及阻礙因素分析,競爭情形,主要企業的簡介等全面性資訊。

目錄

第1章 簡介

  • 調查成果
  • 市場定義
  • 調查的前提條件

第2章 調查方法

第3章 摘要整理

第4章 市場洞察

  • 市場概況
  • 波特的五力分析
    • 買方議價能力
    • 供給企業談判力
    • 新加入廠商業者的威脅
    • 替代品的威脅
    • 競爭企業間的敵對關係
  • 產業價值鏈分析
  • 產業政策
  • 技術概要
    • 機器學習
    • Deep學習
    • 神經語言編程(NLP)

第5章 市場動態

  • 成長要素
    • 零售業的先進技術的引進
    • 零售空間初創企業的新興趨勢
    • 多通路及全通路策略的引進增加
  • 阻礙因素
    • 採用技術基礎設施的巨額投資
  • 市場機會
    • 人工智能彌合在線和離線零售之間的差距
    • 零售業的合併·收購的成長機會

第6章 市場區隔

  • 各產品類型
    • 硬體設備
    • 軟體
  • 各類服務
    • 專業服務
    • 管理服務
  • 引進類別
    • 雲端
    • 內部部署
  • 各用途
    • 供應鏈·物流
    • 產品最佳化
    • 店內嚮導
    • 付款·價格分析
    • 庫存管理
    • 顧客關係管理(CRM)
  • 各地區
    • 北美
    • 歐洲
    • 亞太地區
    • 南美
    • 中東·非洲

第7章 競爭情形 - 企業簡介

  • Amazon Web Services, Inc.
  • NVIDIA Corporation
  • Google LLC
  • Walmart Inc.
  • IBM Watson Group
  • Microsoft Corporation
  • Plexure Ltd.
  • Intel Corporation
  • Qualcomm Inc.
  • SAP SE
  • Salesforce.com Inc
  • Oracle Corporation
  • Manthan Software Services Pvt. Ltd
  • Sentient Technologies Holdings Limited
  • Focal Systems Inc.
  • ViSenze Pte Ltd

第8章 投資分析

第9章 市場未來展望

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目錄
Product Code: 62327

Market Overview

The artificial intelligence in retail market is expected to grow at a CAGR of over 35%, during the forecast period (2019 - 2024). AI will drive faster business decisions in marketing, e-commerce, product management and other areas of the business by decreasing the gap from insights to action.

  • The machine learning and deep learning technologies are expected to have the most significant market share during the forecast period. Organizations in the retail industry are using machine learning and deep learning technology to offer a more personalized experience to the end users as well as to provide an interactive environment to them. Moreover, the growing trend of rising technology adoption can be associated with the need for streamlining retail operations, minimizing efforts, and increasing revenue mostly for e-commerce retailers.
  • The use of artificial intelligence in retail spans every aspect of the industry. Whether the goal is to optimize the supply chain, use existing data to increase conversion, or customize shopping experiences with predictive modeling and micro-targeting or pricing, AI can help meet these challenge in the retail space.
  • The AI equipped retailers with sharper forecasting tools will help in making smarter business decisions. The use of algorithms increases visibility into ROI implications, translating to results like lower costs and higher sales. AI has brought real disruption to the retail sector by improving efficiency, as well as prediction.

Scope of the Report

The application of artificial intelligence (AI), big data and analytics will push the business access towards a data-driven model by expanding the types of data that can be analyzed, and raise the level of sophistication of the resulting insight. The Artificial Intelligence in retail market is being divided as software, services with different applications like supply chain & logistics, product optimization, in-store navigation, payment & pricing analytics, inventory management, customer relationship management. All these applications are being deployed either in the cloud or on-premise.

Key Market Trends

Product Optimization Segment is Expected to Hold Significant Share

  • Product recommendation and planning will be the growing area for AI in the retail sector. The advancement in big data analytics will drive the growing adoption of artificial enabled devices and services across different industrial domains and verticals.
  • There is a range of different technologies involved in AI and Big Data including Machine Learning, Natural Language Processing, Deep Learning, and more for the automated machine-driven decisions.
  • According to Consumer Technology Association, AI has different benefits in the retail industry like cost saving, increased productivity, faster resolution of business problems, faster delivery of new products and services, increase in innovation which is rapidly making its way into many advanced solutions including autonomous vehicles, smart bots, advanced predictive analytics, in the retail space. This factor is expected to improve customer analytics and behavior experience raising significance of product optimization.

North America Accounts for the Largest Share

  • North America is expected to dominate the market with the largest market share mainly because of the presence of several developed economies, such as the United States and Canada, focusing on enhancing the existing solutions in the retail space. North America hosts the primary AI solution providers and is an early adopter of AI technology.
  • Many retailers in this region have deployed AI-based solutions to optimize their supply chain operations and inventory. AI is helping the retailers in managing and maintaining their customers, and understanding the buying patterns of the consumers. To engage customers and improve sales turnover, AI technologies are being adopted by both online and offline retail businesses.
  • Many US-based companies like NVIDIA Corporation, Intel Corporation, Salesforce, Sentient Technologies, Microsoft Corporation, Google Inc., IBM Corporation, Amazon Web Services, are extensively involving themselves in the product innovation and optimization.
  • For instance, in April 2019, Warby Parker, an US-based company practices an innovative way. By the use of Artificial intelligence, it's providing its customer to try the virtual Try-On that allows them to try on virtual frames through augmented reality, a technology that overlays computer-generated images (frames) onto real-world images (your face).

Competitive Landscape

The artificial intelligence in retail market is fragmented. The growing adoption of IoT, big data analytics, e-commerce marketing, provide lucrative opportunities in artificial intelligence in retail market. Overall, the competitive rivalry among existing competitors is high. Moving forward, acquisitions and collaboration of large companies with startups are expected, which are focused toward innovation. Some of the key developments in the area are:

  • May 2019 - SAP SE announced a series of innovations to SAP S/4HANA to make it easier to add artificial intelligence (AI) and robotics, and to customize apps. This will help companies improve business results, automate business processes and make accurate predictions for better decisions.
  • April 2019 - Amazon Web Services, Inc. allows developers to create applications that speak in Arabic and build speech-enabled products and services, including cars, internet of things devices, appliances, automated contact centers, language learning platforms, translation apps, and newsreaders. The artificial intelligence-powered Polly uses deep-learning technologies to synthesize speech that sounds like a human voice.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
  • Report customization as per the client's requirements
  • 3 months of analyst support

Table of Contents

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHT

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Force Analysis
    • 4.2.1 Threat of New Entrants
    • 4.2.2 Bargaining Power of Buyers/Consumers
    • 4.2.3 Bargaining Power of Suppliers
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Value Chain / Supply Chain Analysis
  • 4.4 Industry Policies
  • 4.5 Technology Snapshot
    • 4.5.1 Machine Learning
    • 4.5.2 Deep Learning
    • 4.5.3 Neuro-Linguistic Programming

5 MARKET DYNAMICS

  • 5.1 Introduction to Market Drivers and Restraints
  • 5.2 Market Drivers
    • 5.2.1 Rapid Adoption of Advances in Technology Across Retail Chain
    • 5.2.2 Emerging Trend of Startups in the Retail Space
  • 5.3 Market Restraints
    • 5.3.1 Lack of Professionals as well as In-House Knowledge for Cultural Readiness

6 MARKET SEGMENTATION

  • 6.1 By Product
    • 6.1.1 Software
    • 6.1.2 Service
      • 6.1.2.1 Managed
      • 6.1.2.2 Professional
  • 6.2 By Deployment
    • 6.2.1 Cloud
    • 6.2.2 On-Premise
  • 6.3 By Application
    • 6.3.1 Supply Chain & Logistics
    • 6.3.2 Product Optimization
    • 6.3.3 In-Store Navigation
    • 6.3.4 Payment & Pricing Analytics
    • 6.3.5 Inventory Management
    • 6.3.6 Customer Relationship Management (CRM)
  • 6.4 Geography
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia-Pacific
    • 6.4.4 Latin America
    • 6.4.5 Middle East & Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Amazon Web Services, Inc.
    • 7.1.2 Google LLC
    • 7.1.3 Daisy Intelligence
    • 7.1.4 IBM Corporation
    • 7.1.5 Microsoft Corporation
    • 7.1.6 Plexure Ltd.
    • 7.1.7 Versium Analytics Inc.
    • 7.1.8 Findmine Inc.
    • 7.1.9 SAP SE
    • 7.1.10 Salesforce.com Inc
    • 7.1.11 Conversica Inc.
    • 7.1.12 BloomReach Inc.
    • 7.1.13 Sentient Technologies Holdings Limited
    • 7.1.14 Focal Systems Inc.
    • 7.1.15 ViSenze Pte Ltd

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS

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