Asia/Pacific Mobile Context Services and the Impact on Mobile Network Infrastructure

Jan 23, 2014, 09:04 ET from ReportBuyer

LONDON, Jan. 23, 2014 /PRNewswire/ -- just published a new market research report:

Asia/Pacific Mobile Context Services and the Impact on Mobile Network Infrastructure

Context-aware applications and services will become mainstream in the next five years, as major IT, content, and technology companies are actively developing context-aware enabling software and semiconductor technologies. Virtually every vertical -- form healthcare to telematics to insurance to education -- will find ways to exploit context awareness.

"Just as relational databases became a de facto component in application design in the 1980s, so too will context awareness, as server, mobile device, and desktop application developers start to work with new toolkits and frameworks, transforming legacy applications into context-aware applications," says Bill Rojas, director of Telecom Research, IDC Asia/Pacific.

Table of Contents

IDC Opinion

In This Study

Situation Overview

The Mobile Ecosystem and Key Enablers of Context Services

The Mobile Ecosystem

MNOs and the Issue of Sustainability

Location-Based Services and Technologies

How Does LBS Work?

The LBS Ecosystem

Location Deterministic Technologies

Outdoor Solutions

Indoor Solutions

Spatial 3D LBS for In-Building Location Determination

Early LBS Players

Big Data Analytics

Adoption -- Key Questions

Competitive Landscape of Big Data Suppliers and Integrators

Some of the Strengths of the Existing Players Mentioned Earlier

A Look at Hadoop and Why It Is Important

The Importance of Low-Latency Connectivity in Big Data for CaC

Challenges in Data Management in Location-Dependent Information Services

Big Data Use Cases Gaining Attention Now

Real-Time and Behavioral Analytics

Behavioral Analytics

Mobile Real-Time Analytics

Wearable Computing -- Augmented Reality Sooner than You Think

Paradigm Shift -- New Types of Human Interfaces Are Needed

Human Interfaces for the 4G Era

Contextualization and Data Models

Types of Sensors

Key Context Structures

M2M Device Attributes for Context Processing

Different Types of Data Structures to Represent Context

Context-Aware Computing Methodologies

Examples of Commercial Context-Aware Solutions and Frameworks

Thoughtweb (Australia)

Apple Inc.

Google Inc.

Qualcomm Technologies

Future Outlook

Road Map for Development of Context Awareness and Services

Privacy and Security Policy

Notice and Openness

Choice and Consent


Data Integrity and Security

Enforcement and Redress

Data Storage Residency

Impact on Mobile Network Infrastructure

Modeling Context Awareness and Mobile Data Usage via Traffic Classes

Enablers of Adoption and Relationship with IoT

Essential Guidance

For the Vendor and IT Community

For the Telecom Service Provider Community

Learn More

Related Research


Table: Examples of Future Context Services

Figure: The Internet of Things

Figure: The Mobile Ecosystem

Figure: Over-the-Top Providers

Figure: The Rise of Smartphones and Tablets in APEJ

Figure: Mobile Data Average Monthly Consumption, 2012 and 2013

Figure: Average Postpaid Mobile Data Usage in Developed AP Markets, MB/User/Month

Figure: The Current LBS Ecosystem

Figure: Location Deterministic Technologies

Figure: Potential Uses of Big Data Analytics

Figure: Evolution of User Interface Paradigms

Figure: Augmented Reality and Wearable Computing

Figure: Context-Aware Computing Will Utilize All Available Networks and Devices

Figure: Types of Physical Sensors Relevant to Context Awareness

Figure: Examples of Context Engines

Figure: Commercial Example of Context Engine from Thoughtweb, Australia

Figure: Context Services Will Utilize Many Advanced Technologies

Figure: Modeling Context Awareness in Mobile Applications

Read the full report:
Asia/Pacific Mobile Context Services and the Impact on Mobile Network Infrastructure

For more information:
Sarah Smith
Research Advisor at  
Tel: +44 208 816 85 48

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