Massive MIMO (also known as Large-Scale Antenna Systems, Very Large MIMO, Hyper MIMO, Full-Dimension MIMO and ARGOS) makes a clean break with current practice through the use of a very large number of service antennas (e.g., hundreds or thousands) that are operated fully coherently and adaptively. Extra antennas help by focusing the transmission and reception of signal energy into ever-smaller regions of space. This brings huge improvements in throughput and energy efficiency, in particularly when combined with simultaneous scheduling of a large number of user terminals (e.g., tens or hundreds). Massive MIMO was originally envisioned for time division duplex (TDD) operation but can potentially be applied also in frequency division duplex (FDD) operation.
The Global Massive MIMO Market Estimated to Grow at a Compound Annual Growth Rate (CAGR) of +40% during forecast period
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The 5G segment is expected to witness the fastest growth from 2018-2025. With future 5G deployments, massive MIMO is expected to enable new high-frequency bands that suffer high propagation path losses to deliver similar coverage as low frequencies.
5G is expected to offer significant gains to accommodate more users at higher data rates with better reliability while consuming less power.
Top Players Profiled in this Report includes, Nokia, Ericsson, Huawei, Verizon Communications, ZTE, Sprint, China Mobile, Samsung, Airtel, Deutsche Telekom, T-Mobile, China Unicom, Reliance Jio, Idea, Vodafone, Telefonica, Singtel, Smartfren, Telstra, Commscope, Kathrein, Comba
Massive MIMO market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information.
The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail.
Well explained SWOT analysis, revenue share and contact information are shared in this report analysis.
The massive MIMO market in APAC is expected to grow at the highest CAGR during the forecast period. The presence of leading massive MIMO vendors such as Huawei, ZTE, China Mobile, Samsung, and China Unicom is a key factor driving the massive MIMO market in Asia Pacific.
Furthermore, Japan, China, and India play a significant role in the massive MIMO market and have the maximum 4G LTE penetration rate.
Various factors supporting the growth trend of the market have been studied in the report for a long time. The report also lists constraints that threaten global Massive MIMO market.
It also measures vendor and buyer barriers, threats to new entrants and product alternatives, and competition in the marketplace. The impact of the latest government guidelines is also analyzed in the report.
Study market trajectories between forecast periods.
This report is presented in a clear and concise way to help you better understand market structure and dynamics. Recent trends and developments in global Massive MIMO market have been analyzed.
Opportunities leading to market growth have been analyzed and described. The report focuses on the global market and provides answers to the most important questions that stakeholders are facing today.
Market size information (by the end of the forecast year) raises the issue of expanding competitiveness and hindering market-driven sectors and market growth.
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Table of Contents
Global Massive MIMO Market Research Report
Chapter 1 Massive MIMO Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Market Forecast
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