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Artificial Intelligence In Stadium Market Analysis With Key Players, Trends And Forecast To 2033
Artificial Intelligence In Stadium Market
Artificial Intelligence In Stadium Global Market Report 2024 by The Business Research Company offers comprehensive market insights, empowering businesses with a competitive edge. It includes detailed estimates for numerous segments and sub-segments, providing valuable strategic guidance.
The Market Size Is Expected To Reach $17.61 billion In 2028 At A CAGR Of 51.6%.
The artificial intelligence in stadium market size has grown exponentially in recent years. It will grow from $2.14 billion in 2023 to $3.33 billion in 2024 at a compound annual growth rate (CAGR) of 56.0%. The growth in the historic period can be attributed to fan engagement enhancement, security and surveillance, operational efficiency, data analytics in sports, technology adoption in sports venues, cost reduction.
The artificial intelligence in stadium market size is expected to see exponential growth in the next few years. It will grow to $17.61 billion in 2028 at a compound annual growth rate (CAGR) of 51.6%. The growth in the forecast period can be attributed to smart stadium infrastructure, health and safety measures, energy efficiency initiatives, enhanced in-stadium services, smart seating arrangements, social media integration, voice-activated stadium controls. Major trends in the forecast period include ticketing innovations, advancements in 5g connectivity, integration with augmented reality (ar) and virtual reality (vr), ai-powered sustainability practices, robotics for fan assistance.
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Artificial Intelligence In Stadium Market Major Segments
The artificial intelligence in stadium market covered in this report is segmented -
1) By Product: Digital Content Management, Stadium And Public Security, Building Automation, Event Management, Network Management And Crowd Management
2) By Component: Software, Service
3) By Application: Government, School, Other Applications
Key Driver - AI Revolutionizing Stadium Experiences Enhancing Fan Engagement And Operations
The increase in the number of participants in sporting events is expected to propel the growth of artificial intelligence in the stadium market going forward. Sports events refer to organized competitions or gatherings where athletes or teams compete against each other in various sports disciplines. The application of artificial intelligence in stadiums implements AI technologies and systems to enhance performance analysis, improve the fan experience, assist referees, enable predictive analytics, and optimize stadium operations. For instance, in May 2022, according to Tourism Economics, a Philadelphia-based information services organization, there were 96 million travelers attending sporting events in the United States 2020. That number increased to 175 million travelers in 2021. Further, in February 2023, according to the Sports & Fitness Industry Association (SFIA), a US-based promoter of sports and fitness participation, around 77.6% of all Americans, or 236.9 million people, participated in at least one activity in 2022 across 124 different sports, fitness, and outdoor pursuits. Therefore, the increase in the number of participants in sporting events is driving the growth of artificial intelligence in the stadium market.
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Prominent Trend - Transforming Stadium Security Ai-Powered Advancements For Safer And Efficient Event Experiences
Advancements in technology are a key trend gaining popularity in artificial intelligence in the stadium market. Major companies operating in artificial intelligence in the stadium market are adopting new technological advancements to sustain their position in the market. For instance, in November 2022, SoFi Stadium, a US-based sports and entertainment venue, and YouTube Theater, a US-based indoor entertainment venue, launched AI-Based security screening by Evolv Technology. Evolv Technology is a US-based company that provides advanced security screening solutions using artificial intelligence (AI) and machine learning technologies. This new AI-based security screening is launched to make the entrances to the events safer and more effective in detecting threats. Evolv's Express technology is used in SoFi Stadium and YouTube Theatre to enable danger detection at an unprecedented volume and speed. It combines sophisticated sensor technology with AI. Fans can bypass long queues, go straight through each venue's entrances, and pass past the sensors without always stopping.
Artificial Intelligence In Stadium Market Players
Major companies operating in the artificial intelligence in stadium market report are Inspur Technologies Co Ltd., Alphabet Inc., Microsoft Corporation, Siemens AG, General Electric Company, Intel Corporation, IBM Corporation, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., Fujitsu Ltd., Nvidia Corporation, Ericsson Ab, Johnson Controls International plc, Tyco International Ltd., NEC Corporation, Huawei Enterprise Business Group, Centurylink Inc., Telefonaktiebolaget LM Ericsson, Dahua Technology Co. Ltd., NTT Data Corporation, Axis Communications AB, Bosch Security Systems, Verint Systems Inc., Avigilon Corporation, Byrom Plc, Pelco Inc., Genetec Inc., Hawk-Eye Innovations Ltd., Hanwha Techwin Co. Ltd., Dignia Systems Ltd.
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Largest And Fastest Growing Region In The Market
North America was the largest region in the artificial intelligence in stadium market in 2023. The regions covered in the artificial intelligence in stadium market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
The Table Of Content For The Market Report Include:
1. Executive Summary
2. Artificial Intelligence In Stadium Market Report Structure
3. Artificial Intelligence In Stadium Market Trends And Strategies
4. Artificial Intelligence In Stadium Market - Macro Economic Scenario
5. Artificial Intelligence In Stadium Market Size And Growth
…..
27. Artificial Intelligence In Stadium Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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