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商品編碼

1621986

運動場的人工智能的全球市場規模:各產品，各用途，各地區，範圍及預測

Global Artificial Intelligence In Stadium Market Size By Product, By Application, By Geographic Scope And Forecast

出版日期: 2024年11月03日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

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簡介目錄

體育場館人工智慧的市場規模與預測

近年來，體育場館人工智慧的市場規模一直以溫和的速度成長，成長率顯著，預計在市場估計和預測期內，即2021年至2028年，該市場將顯著成長。

投資回報率的提高、技術的進步和體育賽事數量的增加正在推動體育場館市場人工智慧的成長。該報告對全球體育場館市場人工智慧進行了全面評估。它對關鍵細分市場、趨勢、市場推動因素、競爭格局以及在市場中發揮關鍵作用的因素進行了全面分析。

定義全球體育場館人工智慧市場

統計和數據分析一直被用於體育行業。一切可以量化的東西都已經在體育領域得到了測量，這為人工智慧的應用提供了沃土。人工智慧每天都在影響美國，對運動的影響也相對穩定。以下是人工智慧正在影響電競產業的一些領域。感測器技術與人工智慧的結合有助於提高球員技術。運動訓練人工智慧被運動員用來提供即時回饋，創建個人化訓練計劃，並提高每次訓練的效果。

人工智慧預測分析可用於體育運動，以改善健康和健身。穿戴式應用程式還可以提供有關球員撕裂和緊張的信息，這有助於防止球員受傷。人工智慧可以識別整場比賽的戰術、策略和弱點模式。 NBA 推出了 Connexion 資訊亭，使用人工智慧來分析球員的健康數據並更新球隊的傷病和其他挫折。以人工智慧為基礎的平台是玩家的虛擬球童，輸入風向（撞擊方向）和其他重要資訊。

全球體育場館人工智慧市場概況

推動市場成長的主要因素是投資報酬率的提高、技術進步和體育賽事數量的增加。越來越多的體育場遊客期望獲得更直觀的體驗，主辦國也在尋找新的方法來提高其綜合設施的投資回報。因此，體育場館和競技場不僅僅是進行精彩體育表演、比賽和聚集大量人群的場所。這也是展示技術進步的地方。科技日益先進的消費者更喜歡在行動裝置上進行更新和統計。體育場館也在尋找新的獲利方式，讓球場擠滿人，迫使球迷花更多的錢。

人們可以透過雲端從體育場觀看自己的視頻，或直接將競技場直播到社交媒體。技術先進的消費者更喜歡在行動裝置上獲取最新資訊和統計數據，體育場館也在尋找新的盈利方式、讓體育場館充滿活力並讓球迷花更多錢。您還可以透過雲端觀看體育場的影片或將體育場直接傳輸到社交媒體。隨著世界各地體育賽事數量的增加，人們傾向於先觀看現場比賽，然後再透過電視觀看比賽，這是推動體育場館人工智慧市場成長的因素。體育場館人工智慧市場面臨的最大課題是升級改造初期投資較高以及投資回報的不確定性。

Increasing the return on investment, growing advancements in technology, and increasing the number of sports events are driving the market growth of Artificial Intelligence In Stadium Market. The Global Artificial Intelligence In Stadium Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Artificial Intelligence In Stadium Market Definition

The sports industry has always used statistics and data analysis. Everything that can be quantified has already been measured in sports, making it a fertile land for applying artificial intelligence. Artificial intelligence affects us every day, and its impact on sports is relatively stable. Here are some of the places where AI is impacting the esports industry. The combination of sensor technology and AI helps improve player technology. Sports training AI is used to provide real-time feedback and create personalized training programs for players to enhance the effectiveness of each exercise for each individual.

AI predictive analytics can be used in sports to improve health and fitness. The wearable app can also provide information about the player's tears and tensions, thus preventing athletes from being injured. The AI can recognize patterns of tactics, strategies, and weaknesses throughout the game. The NBA has introduced a Connexion kiosk that uses AI to analyze player health data and update teams for injuries and other setbacks. An artificial intelligence-based platform is a player's virtual caddy that provides input for wind direction-the direction of impact and additional important information.

Global Artificial Intelligence In Stadium Market Overview

The primary factor driving the market growth is the increasing return on investment, growing advancements in technology, and the rising number of sports events. The growing number of people visiting the stadium expect a more intuitive experience, and the host country is also looking for new ways to increase the complex's return on investment. Thus, stadiums and arenas are not just places for the best sports performances, competitions, and large spectators. They are a way to showcase technological advances. Increasingly technologically advanced consumers prefer mobile device updates and statistics. Also, stadiums find new ways to monetize, filling the stadium and forcing fans to spend more.

People can watch the video themselves from the cloud from the stadium and broadcast the arena directly to social media. Consumers with technological advancements prefer updates and stats on their mobile devices, leading stadiums to find newer ways to monetize, fill the stadium, and compel the fans to increase expenditure. They can watch the video from the cloud itself from the stadium and broadcast the arena directly to social media. As the number of sporting events around the globe grows, people tend to watch games live and then on TV, which is the factor driving the market growth of Artificial Intelligence In Stadium Market. The biggest challenges in Artificial Intelligence In Stadium Market are the high initial investment for upgrades and uncertainties in return on investment.

Global Artificial Intelligence In Stadium Market: Segmentation Analysis

The Global Artificial Intelligence In Stadium Market is Segmented on the basis of Product, Application, And Geography.

Artificial Intelligence In Stadium Market, By Product

Digital Content Management
Stadium & Public Security
Building Automation
Event Management
Network Management
Crowd Management

Based on Product, The market is segmented into Digital Content Management, Stadium & Public Security, Building Automation, Event Management, Network Management, and Crowd Management.

Artificial Intelligence In Stadium Market, By Application

Government
School
Others

Based on Application, The market is segmented into Government, School, and Others.

Artificial Intelligence In Stadium Market, By Geography

North America
Europe
Asia Pacific
Rest of the world
On the basis of Geography, The Artificial Intelligence In Stadium Market is classified into North America, Europe, Asia Pacific, and the Rest of the world.

Key Players

The "Global Artificial Intelligence In Stadium Market" study report will provide a valuable insight with an emphasis on the global market including some of the major players such as
Allgovision Technologies Pvt., Byrom Plc, Centurylink, Cisco Systems, Dignia Systems, Ericsson Ab, Fujitsu, Gp Smart Stadium, Hawk-Eye, and Huawei Enterprise.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

1 INTRODUCTION OF GLOBAL ARTIFICIAL INTELLIGENCE IN STADIUM MARKET

1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL ARTIFICIAL INTELLIGENCE IN STADIUM MARKET OUTLOOK

4.1 Overview
4.2 Market Dynamics
- 4.2.1 Drivers
- 4.2.2 Restraints
- 4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis

5 GLOBAL ARTIFICIAL INTELLIGENCE IN STADIUM MARKET, BY PRODUCT

5.1 Overview
5.2 Digital Content Management
5.3 Stadium & Public Security
5.4 Building Automation
5.5 Event Management
5.6 Network Management
5.7 Crowd Management

6 GLOBAL ARTIFICIAL INTELLIGENCE IN STADIUM MARKET, BY APPLICATION

6.1 Overview
6.2 Government
6.3 School
6.4 Others

7 GLOBAL ARTIFICIAL INTELLIGENCE IN STADIUM MARKET, BY GEOGRAPHY

7.1 Overview
7.2 North America
- 7.2.1 U.S.
- 7.2.2 Canada
- 7.2.3 Mexico
7.3 Europe
- 7.3.1 Germany
- 7.3.2 U.K.
- 7.3.3 France
- 7.3.4 Rest of Europe
7.4 Asia Pacific
- 7.4.1 China
- 7.4.2 Japan
- 7.4.3 India
- 7.4.4 Rest of Asia Pacific
7.5 Rest of the World
- 7.5.1 Latin America
- 7.5.2 Middle East and Africa

8 GLOBAL ARTIFICIAL INTELLIGENCE IN STADIUM MARKET COMPETITIVE LANDSCAPE

8.1 Overview
8.2 Company Market Ranking
8.3 Key Development Strategies

9 COMPANY PROFILES

9.1 Allgovision Technologies Pvt.
- 9.1.1 Overview
- 9.1.2 Financial Performance
- 9.1.3 Product Outlook
- 9.1.4 Key Developments
9.2 Byrom Plc
- 9.2.1 Overview
- 9.2.2 Financial Performance
- 9.2.3 Product Outlook
- 9.2.4 Key Developments
9.3 Centurylink
- 9.3.1 Overview
- 9.3.2 Financial Performance
- 9.3.3 Product Outlook
- 9.3.4 Key Developments
9.4 Cisco Systems
- 9.4.1 Overview
- 9.4.2 Financial Performance
- 9.4.3 Product Outlook
- 9.4.4 Key Developments
9.5 Dignia Systems
- 9.5.1 Overview
- 9.5.2 Financial Performance
- 9.5.3 Product Outlook
- 9.5.4 Key Developments
9.6 Ericsson Ab
- 9.6.1 Overview
- 9.6.2 Financial Performance
- 9.6.3 Product Outlook
- 9.6.4 Key Developments
9.7 Fujitsu
- 9.7.1 Overview
- 9.7.2 Financial Performance
- 9.7.3 Product Outlook
- 9.7.4 Key Developments
9.8 Gp Smart Stadium
- 9.8.1 Overview
- 9.8.2 Financial Performance
- 9.8.3 Product Outlook
- 9.8.4 Key Developments
9.9 Hawk-Eye
- 9.9.1 Overview
- 9.9.2 Financial Performance
- 9.9.3 Product Outlook
- 9.9.4 Key Developments
9.10 Huawei Enterprise
- 9.10.1 Overview
- 9.10.2 Financial Performance
- 9.10.3 Product Outlook
- 9.10.4 Key Developments