IT Intelligence Markets

21 % CAGR Value Achieved by Smart Stadium Market: Growth, Opportunities, and Market Forecast to 2023

Global smart stadium market size is estimated to be USD +4 Billion in 2018 and is expected to reach USD +11 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of +21 % during the forecast period.

 

Pune, India -- (SBWIRE) -- 06/22/2018 -- The expanding demand for an advanced communication system is relied upon to drive the worldwide market for cloud business email. A report added to the vast data repository Global Smart Stadium Market Size, Status and Forecast 2023", offers a 360-degree review of the overall market technological advancements in media and entertainment along with its integration with smart phones and tablets has led to a declining demand for experiencing sports sitting in a live stadium. This is leading to the need for developing smart stadiums to give a more captivating experience to the fans along with higher returns from the events. The global market for smart stadiums is expected to witness robust growth during the forecast period.

smart stadiums provide a host of information ranging from parking availability, seat upgrades, ongoing offers and concession lines among others to the fans and viewers. There are several factors aiding to the demand for smart stadiums during the forecast period. In a smart stadium, a fan gets a personalized experience along with shorter waiting lines. Furthermore, the fans can also navigate faster through the crowd with the help of GPS navigation available in the stadium. Moreover, the concept of internet of things (IoT) is also being applied to these stadiums where in the fans and the viewers can connect their smart phones with the stadium network to receive important information. In addition, the governments of various countries are taking initiatives towards automation of industries and smart building projects in order increase the efficiency of operations and participate in the green revolution

Global smart stadium market size is estimated to be USD +4 Billion in 2018 and is expected to reach USD +11 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of +21 % during the forecast period.

Ask for Sample PDF of Smart Stadium Market research report @: https://www.itintelligencemarkets.com/request_sample.php?id=1256

Some of the leading vendors: IBM (US), Tech Mahindra (India), NEC (Japan), Cisco (US), Huawei (China), Intel (US), Fujitsu (Japan), Johnson Controls (Ireland), NTT (Japan), Ericsson (Sweden), GP Smart Stadium (Netherlands), Centurlink (US), NXP Semiconductors (Netherlands), Vix Technology (Australia), Intechnology (UK), Hawk-Eye Innovations (UK), Locbee (Hungary), Insprid (UK), Byrom (UK), Volteo (US), Dignia (Israel), Atos (France), Honeywell (US), UCOPIA (France), Schneider Electric (France ), and AllGoVision (India).

For this report, the general market for cloud business email is segmented for different classifications to give a 360-degree review of the market. For example, on the basis of types, the market has been bifurcated into Mainframe, UNIX, Linux, Windows, and others. On the basis of application, the market has been split into consumer goods and retail, car, energy and power, IT and telecom, media and entertainment, social insurance, BFSI, and others

Early Buyers will get up to 30% discount on this report @: https://www.itintelligencemarkets.com/ask_for_discount.php?id=1256

Table of Content:

Chapter 1 Smart Stadium Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Smart Stadium 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 Smart Stadium 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 Smart Stadium Market Effect Factors Analysis