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Next Generation Peer-to-Peer (P2P) Wireless: Developing Market Opportunities for P2P Direct Applications and Services

Next Generation Peer-to-Peer (P2P) Wireless: Developing Market Opportunities for P2P Direct Applications and Services

Standardization is on the horizon for LTE to operate in a peer-to-peer mode known as LTE Direct (LTE-D) that involves discovery and a mode of operation involving the so-called “ambient awareness”. This is expected to be a novelty at first but quickly evolve into a new ecosystem that is at once complementary and competitive to the current cellular ecosystem.

There are a number of additional technologies that may also be deployed that all provide the ability for devices to “discover” one another, although over different distances ranging from centimeters (Near Field Communications), meters (Bluetooth), 10s of meters (Wi-Fi), and some that vary (beacon technologies).

This research addresses the technology, companies, solutions, and market opportunities involving discovery, presence/detection, peer-to-peer communications, and related applications. The report evaluates the ecosystem, anticipated impacts, and future of Person-to-Person, Device-to-Device, communications.

Target Audience:

  • Exporters, Importers and Traders
  • Regulatory and Policy Individuals
  • Associations and Technology Groups
  • Government and International Bodies
  • Business and Financial Institutions
  • Corporate and Institutional Investors
  • Lawyers, Bankers, Libraries, Embassies
  • Patent Offices and Technology Executives
  • Venture Capitalists, Consultants and more

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.

1. Executive Summary
2. Introduction
2.1. Direct Communications
2.1.1. WiFi Direct
2.1.2. LTE Direct
2.1.3. Others
2.2. Discovery
2.2.1. Discovery of People
2.2.2. Discovery of Machines
2.2.3. Discovery of Applications
2.3. Ambient Awareness
2.3.1. What is it?
2.3.2. How does it work?
2.4. Use Case Types
2.4.1. End-user Pull
2.4.2. Ambient Awareness and Network/Object Push
2.5. Use Case Scenarios
2.5.1. Person to Person P2P
2.5.2. Person to Machine Private
2.5.3. Machine to Person Private
2.5.4. Person to Machine Public
2.5.5. Machine to Person Public
3. WiFi Direct
3.1. WiFi Direct Technology
3.2. Key WiFi Direct Players
3.2.1. Wireless Semiconductor Manufacturers
3.2.2. Broadcom Corporation
3.2.3. Qualcomm Atheros
3.2.4. Intel Corporation
3.2.5. Wireless Peripherals Manufacturers
3.2.6. Hewlett-packard Company
3.2.7. Consumer Electronics Manufacturers
3.2.8. Jvc Kenwood Holdings
3.2.9. Lg Electronics
3.2.10. Smartphone Manufacturers
3.2.11. Fujitsu Ltd.
3.2.12. Htc Corporation
3.2.13. Motorola Mobility Llc
3.2.14. Samsung Electronics Co., Ltd.
3.3. Product Categories
3.3.1. Reference Design And Modules
3.3.2. Networking
3.3.3. Consumer Electronics
3.3.4. Computing And Peripherals
3.3.5. Handsets
3.3.6. Automotive And Transportation
3.3.7. Health And Fitness
3.3.8. Smart Energy
3.3.9. Other
3.4. Wifi Direct Applications
3.4.1. File Sharing Between Friends
3.4.2. User Connecting To A Personal Device
3.4.3. Personal Device Pushing Information To User
3.4.4. Requesting Information From A Public Kiosk
3.4.5. Public Machine Communicating With Private User
3.5. Future Applications
3.5.1. Intelligent Collision Warning
4. LTE Direct
4.1. LTE Direct Technology
4.2. Market Drivers for LTE Direct
4.2.1. Technology Leading Market: Cart before the Horse?
4.2.2. Carriers Need Value-added Services (VAS)
4.3. Key LTE Direct Players
4.4. LTE Direct Applications
4.5. Future Technology Integration
4.5.1. Intelligent Agents
4.5.2. Augmented Reality
4.6. Future Applications
5. P2P Ecosystem Analysis
5.1. Technology Providers
5.2. Wireless Service Providers
5.2.1. Mobile Network Operators
5.2.2. Other Wireless Service Providers
5.3. Application Developers
5.4. Social Networks
6. P2P Impact on Operational Support Systems (OSS)
6.1. Administration of Preferences
6.1.1. Discovery Who can Discover What can Discover
6.1.2. Communications Autonomous Com Offered Com
6.2. Managing Application Access and Usage
7. P2P Billing Support Systems (BSS)
7.1. New Billing Models for P2P Applications
7.1.1. Subscribed
7.1.2. On-demand
7.1.3. Advertising
7.2. Changes Required in BSS for P2P
8. P2P Business Models
8.1. Mobile Network Operators
8.1.1. Role of the Carrier in P2P
8.1.2. New Challenges and Impact of P2P
8.1.3. Future Opportunities
8.2. Social Networks
8.2.1. Traditional Role
8.2.2. New Role in P2P
8.2.3. Future Opportunities
8.3. Technology Providers
8.3.1. Existing Business Conflicts and Opportunities
8.3.2. Future of P2P Direct, Ambient Awareness, and Discovery
8.4. Application Developers
8.4.1. Awareness and Discovery
8.4.2. Penetration and Usage
8.5. Advertisers
8.5.1. Hyper-local and Hyper-focused
8.5.2. Actionable and Performance-based
8.5.3. Leveraging Next Generation Solutions
9. Market Forecasts
9.1. P2P Communications
9.2. P2P Applications
10. Summary and Recommendations

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