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市場調查報告書

零售人工智能 (AI):全球市場的分析與預測

Artificial Intelligence for Retail Applications: Global Market Analysis and Forecasts

出版商 Omdia | Tractica 商品編碼 929306
出版日期 內容資訊 英文 59 Pages; 20 Tables, Charts & Figures
商品交期: 最快1-2個工作天內
價格
零售人工智能 (AI):全球市場的分析與預測 Artificial Intelligence for Retail Applications: Global Market Analysis and Forecasts
出版日期: 2020年03月23日內容資訊: 英文 59 Pages; 20 Tables, Charts & Figures
簡介

零售產業,面臨Amazon,阿里巴巴及Walmart等破壞性企業和許多新興企業所創造的逆風。這些企業,以促進銷售額和削減運用成本為目標,透過供應鏈及庫存管理的效率化推動降低成本。

本報告提供零售產業的人工智能 (AI的)利用相關市場課題的相關調查,生態系統整體的主要企業的簡介,零售AI軟體市場現狀及今後5年的發展預測,大幅度促進全球零售AI軟體引進的利用案例,零售AI應用市場的成長推動因素與課題,主要企業,及全球零售AI軟體市場規模等相關分析。

目錄

圖表

摘要整理

市場課題

  • 概要
  • 市場成長的推動要素
  • 市場障礙

利用案例

  • 簡介
  • 供應鏈 & 存貨管理
  • 電子商務VDA
  • 影音監控
  • 影像識別:視覺搜尋,內容管理及廣告
  • 缺貨管理 & 推銷遵守
  • 個性化顧客歷程
  • 無人商店
  • 商品行銷
  • 購買者行為分析
  • 客戶服務VDA
  • 回本管理
  • 其他利用案例

主要企業

  • 簡介
  • Adobe
  • AiFi
  • Badger Technologies
  • Clarifai
  • Google Cloud
  • IBM
  • Inmar Intelligence
  • Intelligence Node
  • Microsoft
  • Nextail
  • Oracle
  • Pensa Systems
  • Salesforce
  • SAP
  • SAS
  • Secret Sauce Partners
  • Shelfie
  • Symphony AI
  • ViSenze
  • Vue.ai
  • 其他企業

市場預測

  • 預測手法
  • 零售利用案例AI軟體支出全體
  • AI軟體支出:利用案例
  • AI軟體支出:各地區
  • 結論、建議

附錄

目錄
Product Code: AIRET-20

Title:
Artificial Intelligence for Retail Applications
Supply Chain & Inventory Management, Virtual Digital Assistants, Video Surveillance, Image Recognition, Stockout Management & Promotion Compliance, Personalized Customer Journeys, Autonomous Stores, Merchandising, Shopper Behavior Analytics, Returns Management, and Other Use Cases: Global Market Analysis and Forecasts.

The retail industry has been facing major headwinds spawned by disruptors like Amazon, Alibaba, and Walmart, as well as hundreds of hungry startups, that have built lean, analytics-driven organizations based on scale and efficiency. The goal of these organizations is to drive top-line revenue and reduce operating costs. Overall, revenue and margins are under pressure as these more efficient and scalable disruptors draw more buyers and sales with sharper pricing, personalized customer journeys, and finely tuned assortments. Meanwhile, they are driving down costs through efficiencies in supply chain & inventory management.

The stakes are high. It is estimated that hundreds of billions of dollars are lost every year through missed opportunities and excess costs due to issues. Increasingly, a broad range of solutions providers and pioneering retailers are launching AI-driven solutions that are taking the following steps: leveraging contextual personal data and predictive analytics; improving search functionality through sharper meta-tagging and visual search; creating digital maps of in-store inventory; and applying predictive analytics and data science.

This Omdia - Tractica Focus Report examines the market issues surrounding AI use cases in the retail industry and presents profiles for key industry players throughout the ecosystem. It analyzes 11 major use cases: supply chain & inventory management; e-commerce VDAs; video surveillance; image recognition (visual search, content management, & advertising); stockout management & promotion compliance; personalized customer journeys; autonomous stores; merchandising; shopper behavior analytics; customer service & marketing VDAs; and returns management. Global market forecasts for retail AI software spending, segmented by region and use case, extend through 2025.

Key Questions Addressed:

  • What is the current state of the market for retail AI software and how will it develop over the next 5 years?
  • What use cases will drive greater adoption of retail AI software around the globe?
  • What are the key drivers of market growth and the major challenges faced by retail AI applications in each world region?
  • Which companies are the major players in the market, what is their competitive positioning, and which are poised for the greatest success in the years ahead?
  • What is the size of the global retail AI software market opportunity?

Who Needs This Report?

  • Retailers
  • Retail industry hardware and software solutions providers
  • AI hardware and software companies
  • Customer experience-focused solutions providers
  • Investor community

Table of Contents

Table of contents

Table of charts and figures

Executive Summary

  • Introduction
  • Market drivers
  • Market barriers
  • Key use cases
  • Market forecast highlights

Market Issues

  • Overview
  • Market drivers
    • AI: Reducing costs, increasing efficiencies
    • Brick-and-mortar slow drain
      • Physical retail: The rumors of its death have been greatly exaggerated
    • Omnichannel and harmonization
    • Inefficiencies in inventory management
    • Substandard search and product identification
    • Inefficiencies in product marketing management
    • Personalization
    • Lack of understanding physical shopper behavior
    • High cost of returns
  • Market barriers
    • Unrealistic expectations
    • Over-hyped and over-sold
    • Societal backlash and ethics
    • Need for accurate data
    • Lack of experienced talent
    • Change management issues

Use Cases

  • Introduction
  • Supply chain & inventory management
  • E-commerce VDAs
  • Video surveillance
  • Image recognition: Visual search, content management, & advertising
  • Stockout management & promotion compliance
  • Personalized customer journeys
  • Autonomous stores
  • Merchandising
    • Inmar Intelligence
  • Shopper behavior analytics
  • Customer service VDAs
    • Multiple signs of maturity
    • Channel wars: Voice, digital, or both?
    • Hybrid-live solutions
    • Agent-assist emerges
  • Returns management
    • Secret Sauce Partners
  • Other use cases
    • Freight breakdown & maintenance
    • Localization & mapping
    • Warehouse automation
    • Voice/speech recognition
    • Face recognition
    • Online product review analysis
    • Satellite imagery for geo-analytics
    • Human emotion analysis
    • Interactive window displays
    • Virtual fitting rooms
    • Real-time media & social intelligence
    • Workforce management & scheduling
    • Weather forecasting

Key Industry Players

  • Introduction
  • Adobe
  • AiFi
  • Badger Technologies
  • Clarifai
  • Google Cloud
  • IBM
  • Inmar Intelligence
  • Intelligence Node
  • Microsoft
  • Nextail
  • Oracle
  • Pensa Systems
  • Salesforce
  • SAP
  • SAS
  • Secret Sauce Partners
  • Shelfie
  • Symphony AI
  • ViSenze
  • Vue.ai
  • Other industry players

Market Forecasts

  • Forecast methodology
  • Total AI software spending for retail use cases
  • AI software spending by use case
  • AI software spending by region
  • Conclusions and recommendations

Appendix

  • Company directory
  • Acronym and abbreviation list
  • Scope of study
  • Sources and methodology
  • Notes

Tables

  • Total retail AI software spending by region, world markets: 2019-2025
  • Total retail AI software spending by use case, world markets: 2019-2025
  • Retail AI software spending by use case, North America: 2019-2025
  • Retail AI software spending by use case, Europe: 2019-2025
  • Retail AI software spending by use case, Asia Pacific: 2019-2025
  • Retail AI software spending by use case, Latin America: 2019-2025
  • Retail AI software spending by use case, Middle East & Africa: 2019-2025
  • Retail AI use cases, listed by spending
  • Other industry participants

Figures

  • Total retail AI software spending by region, world markets: 2019-2025
  • Retail AI software spending share by top 11 use cases, world markets: 2025
  • Retail AI software spending share by top 11 use cases, world markets: 2025
  • Computer vision-enabled tagging
  • Badger Technologies robot at work
  • Pensa Systems drone
  • Microsoft 2018 State of Global Customer Service Report - Channel preference
  • Online returns growing
  • Creative professionals estimate
  • Adobe vision for digital experience solutions
  • AiFi nano store concept