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小売業における人工知能&機械学習:ダイナミクス、破壊&将来の機会 2016-2021年

AI & Machine Learning ? Retail

Dynamics, Disruption & Future Opportunities 2016-2021

 

出版社 出版年月電子版価格
Juniper Research
ジュニパーリサーチ社
2016年8月GBP2,250
企業ライセンス

サマリー

このレポートは小売業におけるAI (人工知能)と機械学習 (マシンラーニング)の世界市場を調査し、8地域主要10か国の分析や、企業情報などを掲載しています。

可用性と値ごろ感のある、ほぼ無制限のコンピューティングリソースはビッグデータとコネクティビティと同様にAIの技術である機械学習への関心にブームを引き起こしまし た。ジュニパーリサーチはいかに、なぜ、AIが小売業で採用されているか、産業にどんな影響を与えるかを独特の視点から分析します。

レポート概要

  • 影響を受けた産業エリアの査定
  • 投資環境分析
  • ジュニパーの段階的な開発分析による小売業向けAIの概要
  • 企業活動と戦略の事例研究
  • AIの動向、促進要因と制約
  • AIの明日:短期、長期の分析
  • AIの破壊者(ディスラプター)&挑戦者の四分割表
  • AIリーダボード分析
  • 採用と機械学習支出のベンチマーク予測

Overview
The availability and affordability of near-unlimited computing resources alongside Big Data and connectivity has led to a boom in interest in machine learning, a subset of AI (artificial intelligence).

Juniper’s incisive research provides unique insights into how, and why AI is being integrated into the Retail space, and what it means for the industry.
This research suite comprises:

  • Market Trends & Competitive Landscape (PDF)
  • 5 Year Market Sizing & Forecast (PDF & Excel)

Key Features

  • Assessment of impacted industry areas
  • Outlook for AI in Retail via Juniper’s Phased Evolution analysis
  • Case studies highlighting player activity and strategy
  • AI trends, drivers and constraints
  • AI tomorrow: near- and long-term analysis
  • AI Disruptors & Challengers Quadrant
  • AI Leaderboard Analysis
  • Benchmark forecasts for adoption and machine learning spend

Key Questions

  1. At what pace are retailers expected to adopt machine learning services?
  2. What are the applications for AI in Retail, and what will be their impact?
  3. Who are the key disruptors in this space, and what strategies are vendors employing?
  4. What are the key market forces acting on the AI industry?
  5. How is the industry expected to develop towards 2021 and beyond?

Companies Referenced

Interviewed: Kabbage, Nvidia, Rocket Fuel, Sentient Technologies, Sentrian, Zephyr Health.
 
Profiled: Alphabet, Amazon, Apple, Baidu, Facebook, Intel, Microsoft, Nvidia, Salesforce.com, Samsung, Twitter.

Case Studied: Facebook, Google, Granarolo, IBM, Nvidia, The North Face, Viv Labs, Welltok.
 
Mentioned:
 
AdRoll, Aging Analytics, AICure, Aidya, Akamai Technologies, AlchemyAPI, Alibaba, Altera, Amobee, Aorato, API.ai, AppNexus, Associated Press, AT&T, Audi, Automated Insights, Ayasdi, Banjo, Behold.ai, Betterment, BioBeats, BlackRock, BMW, Bosch, Boston Dynamics, Capitol Health, Charles Schwab, Cisco, Civil Maps, Clear Channel UK, ClevAPI, Cognea, Comma, Cortex, Coursera, Criteo, Cypress, Daimler, Dark Blue Labs, Datacratic, Deep 6, Deep Genomics, Demandware, DFKI, DNNresearch, DriveAI, D-Wave, Elixir Studios, Emotient, Emu, Enlitic, Equivio, Esri, Explorys, FitBit, FiveAI, FlexIC, Ford, Forensiq, Gauss Surgical, Gemalto, Ginger.io, GM, Granata Decision Systems, Healint, Hewlett Packard, Hound, Hughes Research Lab, Hyundai, Idibon, IEEE, Implisit, Indisys, Inria, IPSoft, IRIS Analytics, Itseez, Jaguar Land Rover, Jetpac, Jvion, Kasisto, Kiva Systems, Kosei, Kreditech, LendingClub, LinkedIn, Lockheed Martin, Lumiata, Lunit, Madbits, Magic Pony Technology, Maluuba, MasterCard, MediaMath, MedWhat, Mercedes, Merge Healthcare, MetaMind, MindMeld, MinHash, Mobileye, Moodstocks, Movidius, Nanigans, Narrative Science, NASA, Nauto, NHS (National Health Service), NHSTA (National Highway Safety Transport Administration), Numerai, NVCA (National Venture Capital Association), Nvidia, Onfido, Orbeus, Palantir Technologies, Pebble, Pebbles, Perceptio, Persado, Phytel, Pitney Bowes, Pizza Hut, Posterscope, PredictionIO, Profitero, Publicis Groupe, Quanergy, RBS, Reactor Labs, Real Life Analytics, RelateIQ, Revolution Analytics, Safaba Translation Solutions, Saffron AI, SAP, Scalable Capital, Softbank, Su, SupplyChainBrain, Surreal Vision, SwiftKey, Synapsify, Synthace, Telegram, TellApart, Tempo AI, Tesla, The Weather Company, Timeful, ToolsGroup, Touchkin, Toyota, Triggit, Truven Health Analytics, TSMC, Turn, Vanguard, Vicarious, Vision Factory, VisualGraph, VitreosHealth, Vivendi Universal, Vivint, VocalIQ, VoiceBox, Volvo, W3C (World Wide Web Consortium), WaferTech, Wand Labs, Wealthfront, Whetlab, Wink, Wit.ai, Wonga, X.ai, Xerox, YouTube, ZestFinance, Zoox.

Data & Interactive Forecast

Juniper’s Retail AI forecast suite includes:

  • Machine learning spend:
    • Retailers with Access to Internet Services
    • Retailers Using Machine Learning Technology
    • Retailers Using Machine Learning for Demand Forecasting
    • Retailers Using Machine Learning for Customer Service and Sentiment Analytics
    • Annual Machine Learning Spend
  • Regional splits for 8 key regions, as well as country level data splits for:
    • Canada
    • Denmark
    • Germany
    • Japan
    • Portugal
    • South Korea
    • Spain
    • Sweden
    • UK
    • US
  • Interactive Scenario Tool allowing users to manipulate Juniper’s data for 4 different metrics.
  • Access to the full set of forecast data of 17 tables and over 2,200 datapoints.


 

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