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AI & Machine Learning – Retail
OverviewThe 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, AI & Machine Learning - Retail, 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:
  • Deep Dive Strategy & Competition (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 allowis 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.
Juniper Research’s highly granular IFxls (interactive excels) enable clients to manipulate Juniper’s forecast data and charts to test their own assumptions using the Interactive Scenario Tool. They also allow clients to compare select markets side by side in customised charts and tables. IFxls greatly increase clients’ ability to both understand a particular market and to integrate their own views into the model.

Research Options

All research reports now come with an enterprise-wide licence

AI & Machine Learning – Retail: Dynamics, Disruption & Future Opportunities 2016-2021

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Research
Juniper Research’s Retail AI research delivers a must-read assessment of the market landscape. Readers will learn how the industry is being disrupted, gain an understanding of where key investment is being channelled, as well as see where the future lies for AI in this market.

The research suite includes:
  1. Key market trends and forecasts, allied to an analysis of the near- and long-term outlook for the market.
  2. Highlighted vendor activity, with insight into strengths and opportunities.
  3. Key market opportunity analysis for stakeholders.
  4. 5 year forecasts covering AI in Retail, including:
    1. Retailers with access to Internet services
    2. Total retailers using machine learning technology
    3. Retailer adoption of machine learning for demand forecasting
    4. Retailer adoption of machine learning for customer service and sentiment analytics
    5. Average annual spend per machine learning retail customer
    6. Annual retail machine learning spend
  5. Interactive Forecast Excel – highly granular dataset comprising more than 2,200 datapoints, allied to an Interactive Scenario Tool giving users the ability to manipulate Juniper’s data (Interactive XL).
Download a summary of the table of contents and forecasts above, or request a detailed list of every table and chart via info@juniperresearch.com.

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Receive free email support for the research purchased by emailing your queries to info@juniperresearch.com.

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Research Details

Publisher:
Juniper
Published:
02/08/2016
Author(s):
Steffen Sorrell
Category:
Fintech & Payments
Regions:
8 Key Regions - includes North America, Latin America, West Europe, Central & East Europe, Far East & China, Indian Subcontinent, Rest of Asia Pacific and Africa & Middle East
Countries:
Canada, Denmark, Germany, Japan, South Korea, Portugal, Spain, Sweden, UK, USA

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