Global Mission Critical Communications Market 2018-2023: Focus on Voice, Data, and M2M for Public Safety and Critical Infrastructure

Dublin, May 01, 2018 -- The "Mission Critical Communications: Voice, Data, and M2M for Public Safety and Critical Infrastructure Market Outlook and Forecasts 2018 - 2023" report has been added to ResearchAndMarkets.com's offering.

The Market for mission critical communications is rapidly developing as developing technologies supply solutions necessary to meet emerging demand for improved voice, data, and machine-oriented communications. The public safety community increasingly rely upon IP-based solutions for first responder (ambulance, police, fire) and dispatch communications as well as overall coordination in the event of a disaster.

Industry verticals that manage critical infrastructure (such as utilities, ports, and transportation) also demand enhanced communications to safeguard assets and optimize operations. We see a few technologies playing a key role including 5G, Artificial Intelligence, and Internet of Things (IoT) solutions. In addition, there is a strong opportunity for network and system integration as otherwise disparate solutions are converge in a manner in which operations management does not become onerous.

This research assesses core public safety technology and solutions as well as emerging key areas for critical communications including 5G, AI, and IoT. The report analyzes the ecosystem for each technology. The report also identifies market opportunities and the market outlook for critical communications with forecasts for 2018 to 2023.

Target Audience:

• AI and IoT vendors
• System integrators
• Public safety companies
• Device and network providers
• Government and policy makers
• Infrastructure and essential services

Key Topics Covered:

1 Executive Summary

2 Introduction

3 Public Safety Technologies and Solutions
3.1 Public Safety in Perspective
3.2 Public Safety Expectations
3.2.1 Real Time Access to Information
3.2.2 Anytime, Anywhere Connectivity
3.2.3 Increased Situational Awareness
3.3 Public Safety Objectives
3.3.1 Prevention
3.3.2 Detection
3.3.3 Mitigation
3.3.4 Investigation
3.4 Emergency Response and Control
3.4.1 Emergency Medical Services
3.4.2 Fire/Rescue
3.4.3 Law Enforcement
3.4.4 Responder Coordination
3.5 Current Technologies Supporting Public Safety
3.5.1 Public Safety Answer Points
3.5.2 Geographic Information Systems
3.5.3 Enhanced Wireless 9-1-1
3.5.4 Indoor Location Systems
3.5.5 LMR for Public Safety Communications
3.5.6 LTE for Public Safety Communications
3.5.7 Lawful Intercept/CALEA

4 5G Technology and Solutions
4.1 5G Equipment and Network Operation
4.1.1 LTE Foundation, Device Ecosystem, LAA, and 5G Readiness
4.1.2 Spectrum Sharing and Utilization
4.1.3 Narrowband 5G for Massive IoT
4.1.4 Multi Connectivity Architecture with Small Cell Deployment
4.1.5 Relevance of Mobile IoT Technology: NB-IoT and eMTC
4.1.6 OSS/BSS Architecture for 5G Service Operation
4.1.7 Multi-Antenna and Beamforming Impact
4.1.8 End to End Network Slicing with NFV and SDN
4.1.9 LTE Continuation in 5G Era
4.1.10 Service Design, ROI and 5G Network
4.2 5G Technology and Network Impacts
4.2.1 Network Coverage and Efficiency
4.2.2 Network Spectrum Efficiency
4.2.3 Data Throughput
4.2.4 Connection Density
4.2.5 UR-LLC (Ultra-Reliable Low Latency Communication)
4.2.6 Network Energy Usage
4.2.7 Improved Battery Life
4.2.8 Improved Flexibility in Air Interface and Versatility
4.2.9 Massive MIMO
4.2.10 mmWave Technology
4.2.11 Integration of Access and Backhaul
4.2.12 D2D Communication
4.2.13 Flexible Duplex: FDD and TDD
4.2.14 Multi-Antenna Transmission Scenario
4.2.15 Decoupling User Data from Control System
4.3 5G Technology and Network Architecture
4.3.1 Massive MIMO and Beamforming
4.3.2 Cloud RAN
4.3.3 Broadband Spectrum and Satellite
4.3.4 5G New Radio (NR)
4.3.5 Software Defined Air Interface
4.3.6 Network Function Virtualization (NFV)
4.3.7 Self Organizing Network (SON) and Self-Healing Network (SHN)
4.3.8 HetNet and H-CRAN
4.3.9 Large-Scale Cooperative Spatial Signal Processing (LS-CSSP)
4.3.10 Software Defined Radio (SDR)
4.3.11 Visible Light Communications (VLCs)
4.3.12 Cross Layer Controller
4.3.13 Cognitive Radios (CRs) and Transmission Technologies
4.3.14 Scalable OFDM and Subcarrier Spacing
4.4 5G Network Implementation
4.4.1 Base Stations
4.4.2 Small Cells
4.4.3 Macro Cells
4.4.4 Baseband Units and RF Units
4.4.5 Mobile Core
4.4.6 Remote Radio Heads
4.4.7 Front-haul and Backhaul Networks
4.5 4.5G, 4.5G Pro, and 4.9G Supported Solutions
4.5.1 Mobile IoT and M2M Communication
4.5.2 Broadcast Services and Immersive Entertainment
4.5.3 Vehicular Communication
4.5.4 Public Safety Network
4.5.5 Smart City Applications
4.5.6 Private Enterprise Network

5 AI Technology and Ecosystem Analysis
5.1 AI Technology Matrix
5.1.1 Machine Learning
5.1.2 Natural Language Processing
5.1.3 Computer Vision
5.1.4 Speech Recognition
5.1.5 Context Aware Processing
5.1.6 Artificial Neural Network
5.1.7 Predictive APIs
5.1.8 Autonomous Robotics
5.2 AI Technology Readiness
5.3 Machine Learning APIs
5.3.1 IBM Watson API
5.3.2 Microsoft Azure Machine Learning API
5.3.3 Google Prediction API
5.3.4 Amazon Machine Learning API
5.3.5 BigML
5.3.6 AT&T Speech API
5.3.7 Wit.ai
5.3.8 AlchemyAPI
5.3.9 Diffbot
5.3.10 PredictionIO
5.3.11 General Application Environment
5.4 AI Technology Goals
5.5 AI Tools and Approaches
5.6 Emotion AI
5.6.1 Facial Detection APIs
5.6.2 Text Recognition APIs
5.6.3 Speech Recognition APIs
5.7 IoT Application and Big Data Analytics
5.8 Data Science and Predictive Analytics
5.9 Edge Computing and 5G Network
5.10 Cloud Computing and Machine Learning
5.11 Smart Machine and Virtual Twinning
5.12 Factory Automation and Industry 4.0
5.13 Building Automation and Smart Workplace
5.14 Cloud Robotics and Public Security
5.15 Self Driven Network and Domain Specific Network
5.16 Predictive 3D Design

6 IoT Technology and Value Chain Analysis
6.1 IoT Semiconductor Building Blocks
6.1.1 Wireless Sensors
6.1.2 IoT Processors
6.1.3 Gateway
6.1.4 Application
6.2 IoT Chipsets
6.3 Network Technology and Protocol
6.4 Real Time Operating System (RTOS)
6.4.1 Open Source RTOS
6.4.2 Commercial RTOS
6.4.3 Distributed Stream Computing Platforms (DSCPs)
6.5 IoT Software and Platform
6.5.1 IoT Analytics
6.5.2 IoT Security
6.5.3 IoT Device Management
6.5.4 IoT Standard and API Interoperability
6.6 IoT Industry Applications
6.7 Value Chain Analysis
6.7.1 IoT Hardware Device Provider
6.7.2 IoT Component Provider
6.7.3 IoT Platform Provider
6.7.4 IoT Software and Service Provider
6.8 IoT Investment and Market Alliances
6.9 Role of Mobile Network Operators
6.10 IoT and Next Generation Public Safety
6.10.1 IoT and Public Safety Opportunity Areas
6.10.2 Integrating IoT with Public Safety Communications
6.10.3 Integrating IoT and Direction Communications

7 Critical Communication Market Analysis and Forecasts
7.1 Global Critical Communication Market 2018 - 2023
7.1.1 Total Telecom Managed Service Market
7.1.2 Critical Communication Market by Segment
7.1.3 Critical Communication Market by Public Safety Industry Vertical
7.1.4 AI Powered IoT Critical Communication Market in Public Safety
7.2 Regional Critical Communication Market 2018 - 2023
7.2.1 Critical Communication Market by Region
7.2.2 APAC Critical Communication Market by IoT Critical Infrastructure, Public Safety Communication, Professional Service, AI Technology, and Country
7.2.3 North America Critical Communication Market by IoT Critical Infrastructure, Public Safety Communication, Professional Service, AI Technology, and Country
7.2.4 Europe Critical Communication Market by IoT Critical Infrastructure, Public Safety Communication, Professional Service, AI Technology, and Country
7.2.5 Latin America Critical Communication Market by IoT Critical Infrastructure, Public Safety Communication, Professional Service, AI Technology, and Country
7.2.6 Middle East and Africa Critical Communication Market by IoT Critical Infrastructure, Public Safety Communication, Professional Service, AI Technology, and Country

8 Conclusions and Recommendations

Companies Mentioned

• Amazon
• AT&T
• BigML
• Diffbot
• Google
• IBM Watson Group
• Microsoft
• PredictionIO
• Wit.ai

For more information about this report visit https://www.researchandmarkets.com/research/6cn8xq/global_mission?w=12

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