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市場調查報告書

情境、定位服務 (LBS)

Context & Location Based Services

出版商 Juniper Research 商品編碼 114500
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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情境、定位服務 (LBS) Context & Location Based Services
出版日期: 2016年03月16日 內容資訊: 英文
簡介

本報告提供情境、定位服務 (LBS) 調查分析,市場趨勢與競爭情形,5年的市場規模與預測等系統性資訊。

市場趨勢和競爭情形

第1章 LBS概要

  • 簡介
  • 調查範圍

第2章 消費者用LBS

  • 簡介
  • 製圖企業
  • 消費者用LBS的混亂
  • 消費者用LBS應用程式市場趨勢
  • 部門整體趨勢

第3章 室內LBS

  • 簡介
  • 製圖企業
  • 室內LBS的混亂
  • 室內LBS市場趨勢
  • 部門整體趨勢

第4章 商用LBS

  • 簡介
  • 商用車載資通系統
  • 精密農業
  • 商用LBS趨勢
  • 部門整體趨勢

第5章 LBS相關利益者分析

  • 簡介
  • 供應商矩陣
  • 定位矩陣結果
  • LBS的主要企業

市場規模與預測

第1章 LBS概要

  • 簡介
  • 調查範圍

第2章 LBS市場預測摘要

  • 簡介
  • 預測摘要

第3章 消費者用LBS市場預測

  • 簡介
  • 市場影響、預測的變化
  • 調查手法、前提條件
  • 消費者用LBS的收益
  • 收益模式分析
  • 類別、設備分析

第4章 室內LBS市場預測

  • 簡介
  • 調查手法、前提條件
  • 零售設備
  • 零售支出

第5章 商用LBS市場預測

  • 簡介
  • 商用車載資通系統
  • 精密農業

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目錄

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嚝嚚軟ica, 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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