Market Overview:
Artificial intelligence is a process of making a computer system “smart”. The global artificial intelligence in stadium market is expected to grow at a CAGR of XX% during the forecast period 2018-2030. The market growth can be attributed to the increasing demand for AI-enabled stadiums and public security systems, building automation, event management, and network management systems across the globe. The global artificial intelligence in stadium market by type is segmented into digital content management, stadium & public security, building automation, event management, network management and crowd management. Digital content management held the largest share of the global AI in stadium market by type in 2017 owing to its ability to manage large volumes of data with high accuracy. Stadium & public security was the second-largest segment in 2017 due to rising concerns over safety and security at stadiums across different regions. Building automation held third position due its ability manage various functions such as lighting control temperature control among others within buildings automatically . Event Management was fourth largest segment due growing popularity of mega events such as Olympics , FIFA world cup etc . Network Management was fifth largest owing increase use if networking technologies for managing stadiums efficiently .
Product Definition:
Artificial intelligence is the process of making a computer system "smart" – that is, able to understand complex tasks and carry out complex commands.
- Tracking player movements.
Digital Content Management:
Digital content management (DCCM) is a set of tools and technologies used to store, manage, create, distribute and preserve digital assets. It helps in providing access to information in an organized manner. DCCM solutions are widely used by the sports industry for various applications such as live streaming events on various online platforms or organizing press conferences.
Stadium & Public Security:
Stadium and public security is a field that deals with the safety of spectators at sports events. The application of artificial intelligence in this market space can be used for various purposes such as enhancing the fan experience, increasing stadium efficiency, and improving public safety.
The global sports industry has witnessed significant growth over the past few years owing to rising consumer spending on sporting activities across different parts of world.
Application Insights:
The application segment is segregated into government, school, and others. Government was the largest segment in 2017 and accounted for over 40% of the overall revenue share. The use of digital technologies in governments to provide services such as e-voting, e-government initiatives are expected to drive the market growth over the forecast period.
The other applications include sports events and concerts where artificial intelligence can be effectively used to enhance entertainment experience by providing a personalized touch at live shows or sporting events respectively. For instance, AI platform called Livenation that provides fans with interactive experiences during live shows is gaining traction among music festival organizers globally which is expected to drive demand for such platforms at music festivals over next few years.
Regional Analysis:
North America accounted for the largest market share in 2017. The region is expected to maintain its lead over the forecast period owing to increasing investments by governments and sports organizations in developing smart stadiums. For instance, In January 2018, Major League Baseball (MLB) announced a partnership with IBM Corporation to develop a cognitive stadium experience using artificial intelligence technology. The company planned to test new technologies such as predictive analytics, digital content management, and machine learning across MLB stadiums during the upcoming season.
Asia Pacific is anticipated to be one of the fastest-growing regions over the forecast period owing to increasing adoption of AI technology by companies operating sports facilities including football (soccer), cricket stadium etc., Furthermore, rising disposable income coupled with growing popularity of various sports including baseball and American football among youth population will drive regional growth further.
Growth Factors:
- Increasing demand for AI-enabled stadium management systems for enhancing the overall fan experience.
- Growing popularity of AI-powered chatbots among sports fans for real-time information and support.
- Proliferation of big data and analytics in the stadium industry to drive better decision making.
- Development of innovative technologies such as virtual reality and augmented reality to create a more immersive fan experience.
- Increased focus on security and safety by stadiums using AI-based surveillance systems
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Intelligence in Stadium Market Research Report
By Type
Digital Content Management, Stadium & Public Security, Building Automation, Event Management, Network Management, Crowd Management
By Application
Government, School, Other
By Companies
Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab, Fujitsu, Gp Smart Stadium, Hawk-Eye, Huawei Enterprise, Ibm Corporation, Inspur Technologies, Intechnology Wifi, Intel Corporation, Locbee, Nec Corporation, Ntt Corporation, Nxp Semiconductors Nv, Schneider Electric Sa, Tech Mahindra, Ucopia, Vix Technology, Volteo
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
227
Number of Tables & Figures
159
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Intelligence in Stadium Market Report Segments:
The global Artificial Intelligence in Stadium market is segmented on the basis of:
Types
Digital Content Management, Stadium & Public Security, Building Automation, Event Management, Network Management, Crowd Management
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Government, School, Other
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Allgovision Technologies Pvt.
- Byrom Plc
- Centurylink
- Cisco Systems
- Dignia Systems
- Ericsson Ab
- Fujitsu
- Gp Smart Stadium
- Hawk-Eye
- Huawei Enterprise
- Ibm Corporation
- Inspur Technologies
- Intechnology Wifi
- Intel Corporation
- Locbee
- Nec Corporation
- Ntt Corporation
- Nxp Semiconductors Nv
- Schneider Electric Sa
- Tech Mahindra
- Ucopia
- Vix Technology
- Volteo
Highlights of The Artificial Intelligence in Stadium Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Digital Content Management
- Stadium & Public Security
- Building Automation
- Event Management
- Network Management
- Crowd Management
- By Application:
- Government
- School
- Other
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Intelligence in Stadium Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial intelligence is a computer program that can be used to make decisions on its own. It can help stadium operators manage events, keep track of attendance data, and more.
Some of the key players operating in the artificial intelligence in stadium market are Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab, Fujitsu, Gp Smart Stadium, Hawk-Eye, Huawei Enterprise, Ibm Corporation, Inspur Technologies, Intechnology Wifi, Intel Corporation, Locbee, Nec Corporation, Ntt Corporation, Nxp Semiconductors Nv, Schneider Electric Sa, Tech Mahindra, Ucopia, Vix Technology, Volteo.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence in Stadium Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Artificial Intelligence in Stadium Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Artificial Intelligence in Stadium Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Artificial Intelligence in Stadium Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Artificial Intelligence in Stadium Market Size & Forecast, 2018-2028
4.5.1 Artificial Intelligence in Stadium Market Size and Y-o-Y Growth
4.5.2 Artificial Intelligence in Stadium Market Absolute $ Opportunity
Chapter 5 Global Artificial Intelligence in Stadium Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Artificial Intelligence in Stadium Market Size Forecast by Type
5.2.1 Digital Content Management
5.2.2 Stadium & Public Security
5.2.3 Building Automation
5.2.4 Event Management
5.2.5 Network Management
5.2.6 Crowd Management
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Artificial Intelligence in Stadium Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Artificial Intelligence in Stadium Market Size Forecast by Applications
6.2.1 Government
6.2.2 School
6.2.3 Other
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Artificial Intelligence in Stadium Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Artificial Intelligence in Stadium Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Artificial Intelligence in Stadium Analysis and Forecast
9.1 Introduction
9.2 North America Artificial Intelligence in Stadium Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Artificial Intelligence in Stadium Market Size Forecast by Type
9.6.1 Digital Content Management
9.6.2 Stadium & Public Security
9.6.3 Building Automation
9.6.4 Event Management
9.6.5 Network Management
9.6.6 Crowd Management
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Artificial Intelligence in Stadium Market Size Forecast by Applications
9.10.1 Government
9.10.2 School
9.10.3 Other
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Artificial Intelligence in Stadium Analysis and Forecast
10.1 Introduction
10.2 Europe Artificial Intelligence in Stadium Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Artificial Intelligence in Stadium Market Size Forecast by Type
10.6.1 Digital Content Management
10.6.2 Stadium & Public Security
10.6.3 Building Automation
10.6.4 Event Management
10.6.5 Network Management
10.6.6 Crowd Management
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Artificial Intelligence in Stadium Market Size Forecast by Applications
10.10.1 Government
10.10.2 School
10.10.3 Other
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Artificial Intelligence in Stadium Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Artificial Intelligence in Stadium Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Artificial Intelligence in Stadium Market Size Forecast by Type
11.6.1 Digital Content Management
11.6.2 Stadium & Public Security
11.6.3 Building Automation
11.6.4 Event Management
11.6.5 Network Management
11.6.6 Crowd Management
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Artificial Intelligence in Stadium Market Size Forecast by Applications
11.10.1 Government
11.10.2 School
11.10.3 Other
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Artificial Intelligence in Stadium Analysis and Forecast
12.1 Introduction
12.2 Latin America Artificial Intelligence in Stadium Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Artificial Intelligence in Stadium Market Size Forecast by Type
12.6.1 Digital Content Management
12.6.2 Stadium & Public Security
12.6.3 Building Automation
12.6.4 Event Management
12.6.5 Network Management
12.6.6 Crowd Management
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Artificial Intelligence in Stadium Market Size Forecast by Applications
12.10.1 Government
12.10.2 School
12.10.3 Other
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Artificial Intelligence in Stadium Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Artificial Intelligence in Stadium Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Artificial Intelligence in Stadium Market Size Forecast by Type
13.6.1 Digital Content Management
13.6.2 Stadium & Public Security
13.6.3 Building Automation
13.6.4 Event Management
13.6.5 Network Management
13.6.6 Crowd Management
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Artificial Intelligence in Stadium Market Size Forecast by Applications
13.10.1 Government
13.10.2 School
13.10.3 Other
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Artificial Intelligence in Stadium Market: Competitive Dashboard
14.2 Global Artificial Intelligence in Stadium Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Allgovision Technologies Pvt.
14.3.2 Byrom Plc
14.3.3 Centurylink
14.3.4 Cisco Systems
14.3.5 Dignia Systems
14.3.6 Ericsson Ab
14.3.7 Fujitsu
14.3.8 Gp Smart Stadium
14.3.9 Hawk-Eye
14.3.10 Huawei Enterprise
14.3.11 Ibm Corporation
14.3.12 Inspur Technologies
14.3.13 Intechnology Wifi
14.3.14 Intel Corporation
14.3.15 Locbee
14.3.16 Nec Corporation
14.3.17 Ntt Corporation
14.3.18 Nxp Semiconductors Nv
14.3.19 Schneider Electric Sa
14.3.20 Tech Mahindra
14.3.21 Ucopia
14.3.22 Vix Technology
14.3.23 Volteo
