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市場調査レポート

コンテキスト・位置情報サービス (LBS)

Context & Location Based Services

発行 Juniper Research 商品コード 114500
出版日 ページ情報 英文
納期: 即日から翌営業日
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本日の銀行送金レート: 1GBP=148.54円で換算しております。
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コンテキスト・位置情報サービス (LBS) Context & Location Based Services
出版日: 2016年03月16日 ページ情報: 英文
概要

当レポートでは、コンテキスト・位置情報サービス (LBS) について調査分析し、市場動向と競合情勢、5ヶ年の市場規模と予測など、体系的な情報を提供しています。

市場動向と競合情勢

第1章 LBSの概要

  • イントロダクション
  • 調査範囲

第2章 消費者用LBS

  • イントロダクション
  • マッピング企業
  • 消費者用LBSの混乱
  • 消費者用LBSアプリ市場の動向
  • 部門全体の動向

第3章 屋内LBS

  • イントロダクション
  • マッピング企業
  • 屋内LBSの混乱
  • 屋内LBS市場の動向
  • 部門全体の動向

第4章 商用LBS

  • イントロダクション
  • 商用テレマティクス
  • 精密農業
  • 商用LBSの動向
  • 部門全体の動向

第5章 LBSステークホルダー分析

  • イントロダクション
  • ベンダーマトリクス
  • ポジショニングマトリクス結果
  • LBSの有力企業

市場規模と予測

第1章 LBSの概要

  • イントロダクション
  • 調査範囲

第2章 LBS市場の予測サマリー

  • イントロダクション
  • 予測サマリー

第3章 消費者用LBS市場の予測

  • イントロダクション
  • 市場影響・予測の変化
  • 調査手法・前提条件
  • 消費者用LBSの収益
  • 収益モデル分析
  • カテゴリー・デバイス分析

第4章 屋内LBS市場の予測

  • イントロダクション
  • 調査手法・前提条件
  • 小売デバイス
  • 小売支出

第5章 商用LBS市場の予測

  • イントロダクション
  • 商用テレマティクス
  • 精密農業

このページに掲載されている内容は最新版と異なる場合があります。詳細はお問い合わせください。

目次

Overview

Juniper's research into the Context & Location Services (LBS) market offers a comprehensive breakdown analysis and a wealth of insights across the ecosystem of this rapidly evolving sector.

Rapid mobile broadband uptake and the multitude of sensors and data produced by devices and connected units has opened up new opportunities for stakeholders. This research explores how the industry can leverage these assets in order to drive revenues, consumer engagement and maximise operational efficiency.

This research suite comprises:

  • Market Trends & Competitive Landscape (PDF)
  • 5 Year Market Sizing & Forecast (PDF & Excel)
  • Executive Summary & Core Findings (PDF)

Key Features

  • Multi-segment strategic assessment, examining key LBS verticals:
    • Consumer
    • Retail
    • Commercial Telematics
    • Precision Agriculture
  • Segment-by-segment analysis of key emerging market disruptors and trends.
  • Comprehensive analysis of mobile engagement strategies and developing LBS technologies.
  • Regional evaluation of market verticals' prospects and future outlook.
  • Benchmark industry forecasts for adoption and spend across all verticals.
  • Interviews with leading players across the value chain, including:
    • DecaWave
    • Gimbal
    • KORE
    • Ubimo

Key Questions

  • 1. Which LBS segment will generate the most revenue to 2020?
  • 2. How are stakeholders approaching the consumer, indoor and commercial LBS markets?
  • 3. How can contextual services be added to location data to offer improved services and increase traction and engagement?
  • 4. What are the key trends impacting the market?
  • 5. How can stakeholders take advantage of the LBS opportunity?

Companies Referenced

Interviewed: DecaWave, Gimbal, KORE, Ubimo.

Profiled: Alphabet, DecaWave, Facebook, Fiksu, Gimbal, John Deere, KORE, MiX Telematics, Monsanto, Pinterest, TomTom, Ubimo.

Case Studied: Amazon, Ars Technica, Foursquare, Google, Michelin, Monsanto, Pinterest, Strava, Swift Navigation, Ubimo.

Mentioned: 3GPP, 4C, 640 Labs, Activision, Adaptly, AdRoll, AEG, AEM (Association of Equipment Manufacturers), AEMP (Association of Equipment Management Professionals), AgraQuest, AMI, Ampush, AOL, Apple, AppNexus, Aruba Networks, Association for Psychological Science, AT&T, Atlas, ATrack, BASF, Bing, BlackBerry, Blogwatcher, Blu Flux, Brand Networks, Broadcom, Buddy Platform, Celtra, Cinterion, Cleveland Cavaliers, Coca-Cola, Condè Nast, Cornel Electronics, Continental, Couchbase, Criteo, Daimler, DeepMind Technologies, Disney, DN2K, Do It Outdoors Media, DoubleVerify, DT (Deutsche Telekom), Dunkin' Donuts, eBay, EE, EENA (European Emergency Number Association), Endeavour Partners, esri, European GNSS Agency, European Space Agency, FCC (Federal Communications Commission), Fiat Chrysler, Fitbit, Gamestop, Garmin, HERE, HYFN, Hyundai Motor Group, IEEE, IndoorAtlas, Instagram, Intel, ISO (International Standards Organisation), Jaguar Land Rover, Jawbone, Jazz Wireless Data, justAd, Kickstarter, Kinetic Social, KT Corporation, LabPixies, Lake Datacommunications, LiveRail, Localytics, MapBox, Mazda, MediaMath, Meraki Cisco, Micello, Microsoft, Millennial Media, Millward Brown Digital, MobileFuse, Mobileye, MoPub, Muxus wireless, Nanigans, NanoLumens, Netflix, Nexage, Nokia, NXP, OSM (OpenStreetMap), Parthus, Pebble, Pfizer, Pharmacia, Pixie, PubMatic, QSI Corporation, Qualcomm, RacoWireless, Red Hot Labs, Redpoint Positioning, Renault, Rogers Wireless, Route 66, Samsung, Scoutmob, Senesco, Sentera, SETI@Home, Sewio, Shazam, Shopify, Sierra Wireless, Sizmek, Skyhook Wireless, Smaato, SocialCode, SocialFlow, Sony, Starcom, Sygic, Syngenta, Tapioca Mobile, Target, Tele Atlas, Telefテウnica, Telenav, TellApart, The Climate Corporation, T-Mobile, Tourmaline Networks, Triggit, Tune, Turn, Twitter, Uber, Urban Airship, Verizon, Waze, Weblock, WhatsApp, Wipelot, Yahoo, Yelp, Zebra Technologies

Data & Interactive Forecast

Juniper's Context & Location Bases Services forecast suite includes:

  • Segment splits for:
    • Consumer Mobile Applications: Navigation, Social, Search & Discovery, Tracking & Other
    • Indoor LBS: Retail RFID & Bluetooth Beacons
    • Commercial Telematics
    • Precision Agriculture
  • Regional splits for 8 key regions, as well as country level data splits for:
    • Consumer:
      • Canada
      • Denmark
      • Germany
      • Japan
      • Mexico
      • Norway
      • Portugal
      • Spain
      • Sweden
      • South Korea
      • UK
      • US
    • Indoor:
      • Canada
      • China
      • Denmark
      • Germany
      • Japan
      • Mexico
      • Norway
      • Portugal
      • Spain
      • Sweden
      • South Korea
      • UK
      • US
    • Commercial Telematics:
      • Brazil
      • Canada
      • China
      • France
      • Germany
      • Mexico
      • UK
      • US
    • Precision Agriculture:
      • Canada
      • Germany
      • Japan
      • South Korea
      • UK
      • US
  • Interactive Scenario Tool allowing users to manipulate Juniper's data for 35 different metrics.
  • Access to the full set of forecast data of 289 tables and over 37,390 datapoints.

Juniper Research's highly granular interactive excels enable clients to manipulate Juniper's forecast data and charts to test their own assumptions using the Interactive Scenario Tool; and 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.

Table of Contents

Market Trends & Competitive Landscape

1. LBS Overview

  • 1.1. Introduction
    • Table 1.1: Selected User Contexts
  • 1.2. Research Scope
    • 1.2.1. Consumer LBS
      • Figure 1.2: Consumer LBS and Selected Contextual Inputs
    • 1.2.2. Indoor LBS
      • Figure 1.3: Indoor LBS and Selected Contextual Inputs
    • 1.2.3. Commercial LBS
      • Figure 1.4: Commercial LBS & Selected Contextual Inputs

2. Consumer LBS

  • 2.1. Introduction
  • 2.2. Mapping Players
    • 2.2.1. Google
      • i. App
      • ii. API (Application Programming Interface)
    • 2.2.2. HERE
    • 2.2.3. Open Street Map
  • 2.3. Disruption in Consumer LBS
    • Figure 2.1:iOS Web Page Load Times: No Ad Blocker vs Ad Blocker,
      • i. Case Study: Ars Technica
      • iii. Case Study: Amazon Underground
      • i. Case Study: Strava
        • Figure 2.2: Active 4G Subscribers (m), Split by 8 Key Regions 2015-2020
  • 2.4. Trends in the Consumer LBS App Market
    • 2.4.1. Navigation
    • 2.4.2. Local Search & Discovery
      • ii. Case Study: Foursquare - Context-Driven
    • 2.4.3. Social
      • iii. Case Study: Pinterest- Giving the User Control
        • Figure 2.3: Facebook Messenger UberIntegration
    • 2.4.4. Tracking
  • 2.5. Overall Sector Dynamics
    • Figure 2.4: Juniper Sector Dynamics - Consumer LBS Market Drivers, Trends & Constraints
    • 2.5.1. Technological
    • 2.5.2. Consumer
    • 2.5.3. Vendor

3. Indoor LBS

  • 3.1. Introduction
  • 3.2. Mapping Players
    • i. Mapping: Google
    • ii. Mapping: HERE
      • Figure 3.1: HERE Indoor Venue Maps by Region & Skew (% of total)
    • iii. Mapping: Micello
    • iv. Positioning: Gimbal
    • v. Positioning: Skyhook Wireless
    • vi. Positioning: Indoor Atlas
  • 3.3. Disruption in Indoor LBS
    • i. Case Study: Eddystone
  • 3.4. Trends in the Indoor LBS Market
    • 3.4.1. Consumer
      • ii. Case Study: ubimo
    • 3.4.2. Commercial
      • Figure 3.2: Connected loT Units (m) 2016-2020
      • Figure 3.3: RFID vs Barcode Asset Tracking
    • 3.4.3. Emergency Response
  • 3.5. Overall Sector Dynamics
    • Figure 3.4: Juniper Sector Dynamics -Indoor LBS Trends, Drivers & Constraints
    • 3.5.1. Technological
    • 3.5.2. Customer
    • 3.5.3. Service Providers

4. Commercial LBS

  • 4.1. Introduction
  • 4.2. Commercial Telematics
    • 4.2.1. Disruption in Commercial Telematics
      • iv. Case Study: Michelin - Vendors Become Service Providers
  • 4.3. Precision Agriculture
    • 4.3.1. Disruption in Precision Agriculture
      • i. Case Study: Monsanto - Prescriptive Analytics Gather Pace
        • Table 4.1: RTK Precision Farming Return on Investment
      • iii. Case Study: Piksi by Swift Navigation
  • 4.4. Trends in Commercial LBS
    • 4.4.1. Commercial Telematics
      • Figure 4.2: MiX Telematics Dashboard Assistant
    • 4.4.2. Precision Agriculture
  • 4.5. Overall Sector Dynamics
    • Figure 4.3: Juniper Sector Dynamics - Commercial LBS Trends, Drivers & Constraints
    • 4.5.1. Technological
    • 4.5.2. Customer
    • 4.5.3. Service Provider

5. LBSS take holder Analysis

  • 5.1. Introduction
  • 5.2. Vendor Matrix
    • Table 5.1: Vendor Capability Assessment Criteria
    • 5.2.1. Limitations &Interpretation
  • 5.3. Positioning Matrix Results
    • Table 5.2: LBS Stakeholder Positioning Matrix Table
      • Figure 5.3: LBS Positioning Matrix Results
    • 5.3.1. Stakeholder Groupings
      • i. Summary
      • ii. 0n Track Group
      • iii. Exceeding Expectations Group
      • iv. Further Potential Group
  • 5.4. LBS Movers & Shakers
    • 5.4.1. Alphabet
      • i. Corporate Profile
      • ii. Geographic Spread
        • Figure 5.4: Alphabet Financial Snapshot ($m) 2013-2015
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Vendor's Key Strengths & Strategic Development Opportunities
    • 5.4.2. DecaWave
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. Products & Services
      • v. Juniper's View: Vendor's Key Strengths & Strategic Development Opportunities
    • 5.4.3. Facebook
      • Table 5.5: Facebook Financial Snapshot ($m) 2013-2015
      • i. Geographic Spread
      • ii. Key Clients & Strategic Partnerships
      • iii. Products & Services
      • iv. Juniper's View: Vendor's Key Strengths & Strategic Development Opportunities
    • 5.4.4. Fiksu
      • i. Geographic Spread
      • ii. Key Clients & Strategic Partnerships
      • iii. Products & Services
      • iv. Juniper's View: Vendor's Key Strengths & Strategic Development Opportunities
    • 5.4.5. Gimbal
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Vendor's Key Strengths& Strategic Development Opportunities
    • 5.4.6. John Deere
      • i. Corporate Profile
        • Figure 5.6: John Deere Financial Snapshot ($m) 2013-2015
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Junipers View: Vendor's Key Strengths & Strategic Development Opportunities
    • 5.4.7. KORE
      • i. Corporate Profile
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Vendors Key Strengths & Strategic Development Opportunities
    • 5.4.8. Monsanto
      • i. Corporate Profile
        • Table 5.7: Monsanto Financial Snapshot ($m) 2013-2015
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Vendor's Key Strengths & Strategic Development Opportunities
    • 5.4.9. MiX Telematics
      • i. Corporate
        • Table 5.8: MiX Telematics Financial Snapshot ($m)2013-2015
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 5.4.10. Pinterest
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 5.4.11. TomTom
      • i. Corporate Profile
        • Table 5.9: TomTom Financial Snapshot (E000) 2012-2014
      • ii. Geographic Spread
      • iii. Key Clients & Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Development Opportunities
    • 5.4.12. Ubimo
      • i. Corporate Profile
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. Products & Services
      • v. Juniper's View: Key Strengths & Development Opportunities

Market Sizing & Forecasts

1. LBS Overview

  • 1.1. Introduction
    • Table 1.1: Selected User Contexts
  • 1.2. Research Scope
    • l.2.1. Consumer LBS
      • Figure 1.2: Consumer LBS and Selected Contextual Inputs
    • 1.2.2. Indoor LBS
      • Figure 1.3: Indoor LBS and Selected Contextual Inputs
    • 1.2.3. Commercial

2. LBS Market Forecast Summary

  • 2.1. Introduction
    • Figure 1.4: Commercial LBS & Selected Contextual Inputs
  • 2.2. Forecast Summary
    • Figure & Table 2.1: Combined Consumer, Indoor & Commercial LBS Spend ($m), Split by Segment 2015-2020

3. Consumer LBS Market Forecasts

  • 3.1. Introduction
  • 3.2. Market Impacts & Changes to the Forecast Since Last Edition
  • 3.3. Methodology & Assumptions
    • Figure 3.1: Consumer LBS Forecast Methodology
  • 3.4. Consumer LBS Revenue
    • Figure & Table 3.2: Total Consumer LBS App Revenue ($m), Split by 8 Key Regions 2015-2020
  • 3.5. Revenue Model Analysis
    • Figure & Table 3.3: Total Consumer LBS Revenue, Split by Revenue Model ($m), 2015-2020
  • 3.6. Category & Device Analysis
    • 3.6.1. Navigation
      • Figure & Table 3.4: Navigation App Revenue ($m), Split by Device Type, 2015-2020
    • 3.6.2. Social
      • Figure & Table 3.5: Social App Revenue ($m), Split by Device Type, 2015-2020
    • 3.6.3. Tracking
      • Figure & Table 3.6: Tracking App Revenue ($m), Split by Device Type, 2015-2020
    • 3.6.4. Search & Discovery
      • Figure & Table 3.7: Search & Discovery App Revenue ($m), Split by Device Type, 2015-2020
    • 3.6.5. Other
      • Figure & Table 3.8: Search & Discovery App Revenue ($m), Split by Device Type, 2015-2020

4. Indoor LBS Market Forecasts

  • 4.1. Introduction
  • 4.2. Methodology & Assumptions
    • Figure 4.1:Indoor LBS Forecast Methodology
  • 4.3. Retail Devices
    • Figure & Table 4.2: Combined RFID & Bluetooth Beacon Installed Base (m) Split by 8 Key Regions 2015-2020
  • 4.4. Retail Spend
    • Figure & Table 4.3: Combined Retail RFID & Bluetooth Beacon Hardware & Implementation Spend ($m) Split by 8 Key Regions 2015-2020

5. Commercial LBS Market Forecasts

  • 5.1. Introduction
  • 5.2. Commercial Telematics
    • 5.2.1. Methodology & Assumptions
      • Figure 5.1: Commercial Telematics Forecast Methodology
    • 5.2.2. Installed Base of Commercial Vehicles with Telematics
      • Figure & Table 5.2: Installed Base of Commercial Vehicles with Telematics ($m) Split by 8 Key Regions 2015-2020
    • 5.2.3. Number of Commercial Telematics Subscriptions that are 0EM installed
      • Figure & Table 5.3: Number of Commercial Telematics Subscriptions that are OEM installed ($) Split by 8 Key Regions 2015-2020
    • 5.2.4. Revenues from Commercial Telematics OEM Subscriptions
      • Figure & Table 5.4: Revenues from Commercial Telematics OEM Subscriptions ($m) Split by 8 Key Regions 2015-2020
    • 5.2.5. Number of After-market Installed Telematics Services
      • Figure & Table 5.5: Number of After-market Installed Telematics Services ($m) Split by 8 Key Regions 2015-2020
    • 5.2.6. Total Revenues from Commercial After-market Installed Telematics Services
      • Figure & Table 5.6: Total Revenues from After-market Installed Telematics Services ($m) Split by 8 Key Regions 2015-2020
  • 5.3. Precision Agriculture
    • 5.3.1. Methodology & Assumptions
      • Figure 5.7: Precision Agriculture Methodology
    • 5.3.2. Precision Farming Software Seats
      • Figure & Table 5.8: Total Employed Individuals in Farming That Use Precision Farming Software (m), Split by 8 Key Regions 2015-2020
    • 5.3.3. Precision Farming Software Revenue
      • Figure & Table 5.9: Annual Precision Farming Software Revenue ($m), Split by 8 Key Regions 2015-2020
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