世界各国のリアルタイムなデータ・インテリジェンスで皆様をお手伝い

医療における人工知能と機械学習:ダイナミクス、破壊&将来の市場機会 2016-2021年

AI & Machine Learning ? Healthcare

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

このレポートは医療における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が医療の場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
  • 投資環境の分析
  • ジュニパーの段階的な開発分析による医療の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
  • 採用とプラットフォーム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 Healthcare 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
  • Investment landscape analysis
  • Outlook for AI in Healthcare 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 platform spend

Key Questions

  1. At what pace are software revenues for AI driven medical imaging to rise?
  2. What are the applications for AI in Healthcare, 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, IBM, Nvidia, SemanticMD, Sentrian, 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 Healthcare AI forecast suite includes:

  • Machine learning spend:
    • Annual CT, PET, MRI and Ultrasound Scans Used for Chronic Disease Detection
    • Annual Scans Analysed by Second Line CADe Software
    • Annual Scans Analysed by First Line CADx Software
    • Average Cost per Scan
    • Annual CADe and CADx Software 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 13 tables and over 1,700 datapoints.


 

ページTOPに戻る

あなたが最近チェックしたレポート一覧

  • 最近チェックしたレポートはありません。

お問合は、お電話またはWEBから承ります。お見積もりの作成もお気軽にご相談ください。

webからのお問合せはこちらのフォームから承ります

このレポートへのお問合せ

03-3582-2531

電話お問合せもお気軽に

<無料>メルマガに登録する

 

 

ページTOPに戻る