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Internet of Things (IoT) and Wireless Networks: Technologies, Business Drivers, and Market Outlook

Internet of Things (IoT) and Wireless Networks: Technologies, Business Drivers, and Market Outlook

The world is moving beyond standalone devices into a new era where everything is connected. The Internet of Things (IoT) refers to uniquely identifiable objects (things) and their virtual representations in an Internet-like structure. Stated differently, the concept involves the notion that there are many things (assets, objects, etc.) in the world that may be addressed/labeled/cataloged for various purposes. The Internet is associated with and mapped to the real world by attaching object tags with URLs as meta-objects to tangible objects or locations.

In addition to the wireless technologies that make connecting different things possible, there are wide number of technologies that gain benefit from the IoT or support it. Since the technology of IoT will have an unlimited number of devices there will many of technologies evolved whether to deploy, manage or even identify things.

This research addresses the business drivers, technologies and future outlook for the Internet of Things (IoT) with an emphasis on business opportunities, industry sectors, and leading applications. The report includes analysis of leading sectors to adopt IoT: Connected Homes, Connected Vehicles, and Industrial Internet. The report also includes analysis of key issues and success factors for the long-term success of IoT.

Report Benefits:

  • Identify business drivers for IoT
  • Identify leading IoT applications
  • Understand IoT supporting technologies
  • Identify key issues for the long term success of IoT
  • Understand the dynamics of IoT in leading industry verticals
  • Obtain reports on IoT leaders: Intel, Oracle, Cisco, and Qualcomm
Target Audience:
  • Semiconductor companies
  • Embedded systems companies
  • Application developers and aggregators
  • Managed service and middleware companies
  • Wireless network operators and service providers
  • Data management and predictive analysis companies
  • Sensor, presence, location, and detection solution providers
  • Internet identity management, privacy, and security companies
  • M2M, Internet of Things (IoT), and general telecommunications companies
  • Wireless infrastructure (cellular, WiMAX, WiFi, RFID/NFC, and Beacon) providers

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.

Executive Summary
1 Introduction
1.1 Defining IoT
1.2 Embedded Systems and IoT
1.3 Ubiquitous Computing
1.4 Teleoperation and IoT
1.5 IoT Industry Groups
1.6 IoT Communication Protocols and Standards
1.6.1 Many Organizations and Many Standards Efforts
1.6.2 Overlapping Standards, Protocols and Technical Approaches
1.7 IoT Solutions and Applications
2 Underlying Technologies Supporting IoT
2.1 Connected Devices
2.2 Macro Area Wireless: Cellular
2.2.1 Most Prevalent Digital Cellular Systems: 2G and 3G
2.2.2 4th Generation (4G) Cellular LTE Direct (LTE-D) LTE Advanced
2.2.3 Heterogeneous Networks (HetNet)
2.3 Macro Area Wireless: Non-cellular
2.3.1 WiMAX
2.3.2 Satellite
2.4 Short Range Wireless
2.4.1 WiFi
2.4.2 LiFi
2.4.3 RF Identification (RFID)
2.4.4 Bluetooth
2.4.5 ZigBee
2.4.6 Ultra Wide Band (UWB)
2.4.7 Dedicated Short-range Communications
2.4.8 Beacon Technologies
2.5 Internet Protocol version Six (IPv6)
2.6 Sensors and Detection Technologies
2.7 Data Storage/Management
2.8 APIs and Data Integration
2.9 Machine-to-Machine (M2M)
2.10 Wearable Wireless and Computing
2.11 Augmented Reality and Media
2.12 Big Data, Predictive Analysis, and Business Intelligence
2.13 IoT and Cloud Technologies/Solutions
2.14 IoT Mediation and Orchestration
3 IoT in Industry Verticals
3.1 Retail
3.2 Smart Cities
3.3 Healthcare
3.4 Transportation
3.5 Supply Chain Management
3.6 Environmental Control
3.7 Power Management
4 IoT and Connected Homes
4.1 Opportunities and Obstacles
4.2 Residential Applications
4.2.1 Security Systems
4.2.2 Smart Grid Applications
4.2.3 Home Infotainment
4.2.4 Elderly Monitoring
4.2.5 Smart Appliances
5 IoT and Connected Cars
5.1 Connected Devices in Vehicles
5.2 Connected Automotive Apps
5.2.1 A Mixture of Safety Features and Concerns
5.2.2 Connected Car Challenges
5.3 Online-Connected Automobiles
5.3.1 Connected Commercial Vehicles
5.3.2 Connected Cars: AT&T
5.3.3 Connected Cars: BMW
6 IoT and the Industrial Internet
6.1 Energy Control
6.2 Facilities Control
6.3 Teleoperation and Telerobotics
6.4 Smart Manufacturing
7 Key Evolutionary Trends Driving IoT
7.1 Anytime, Anywhere, Any Device Access
7.2 Increased Emphasis on Non-human Communications
7.3 Convergence and Integration of Many Things
7.4 Open Networks and Interfaces
7.5 Ubiquitous Wireless Access and Connectivity
7.6 Ambient Intelligence: Self-aware Networks and Devices
8 Key Issues to the Long-term Success of IoT
8.1 Device and Interface Interoperability
8.2 Openness: Interfaces, Standards, and More
8.3 Ease of Configuration and Administration
9 Appendix
9.1 Security and Privacy in IoT
9.1.1 Illustrative IoT Concern Area: Connected Homes
9.1.2 Illustrative IoT Concern Area: Wearable Technology
9.1.3 Identity, Personal Data, and Preference Management
9.2 Leading Companies Driving IoT
9.2.1 Cisco Cisco’s Vision for Internet of Everything Cisco’s IoT Related Predictions
9.2.2 Intel Intel’s Vision for IoT Three Pillars of IoT Real-world IoT-driven Applications Intel Positioning Itself for Success in IoT
9.2.3 Oracle Oracle and IoT Oracle’s Vision for IoT
9.2.4 Qualcomm Qualcomm and IoT Qualcomm’s Vision for IoT
9.3 IoT and Unstructured (Big) Data
9.3.1 IoT and System Generated Data
9.3.2 IoT and Machine Generated Data
9.4 IoT and the Cloud
9.5 IoT, DaaS, and APIs (Telecom and Enterprise)
List of Figures
Figure 1: Everything becomes Connected
Figure 2: The Evolution of IoT
Figure 3: IoT Industry Roadmap 2000-2020
Figure 4: Growth of Connected Devices
Figure 5: Market Share by Wireless Technology
Figure 6: Evolution of LTE in time
Figure 7: HetNet Topology
Figure 8: WiMAX Communications
Figure 9: RFID Chip Compared to a Grain of Rice
Figure 10: Embedded Thermal Sensors
Figure 11: Sensors in Macro Environment for IoT
Figure 12: Automated Retail
Figure 13: Hybrid System Architecture for Healthcare - WAITER
Figure 14: Connected Home
Figure 15: Sensors in the Connected Home
Figure 16: Energy Smart Home Lab
Figure 17: Smart and Connected TV
Figure 18: Global TV: Smart vs. Traditional 2013 - 2017
Figure 19: Elderly Tracking
Figure 20: Connected Vehicle Console
Figure 21: Connect Vehicles by Application Type 2014 - 2019
Figure 22: IoT in Industrial Automation
Figure 23: IoT in Facilities Control
Figure 24: IoT and Telecom API Topology

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