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市场调查报告书
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1867096

体育领域人工智慧市场:按产品、技术类型、应用和最终用户划分-2025-2032年全球预测

Artificial Intelligence in Sports Market by Offering, Technology Type, Application, End-user - Global Forecast 2025-2032

出版日期: | 出版商: 360iResearch | 英文 186 Pages | 商品交期: 最快1-2个工作天内

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预计到 2032 年,体育领域的人工智慧市场规模将达到 424.3 亿美元,复合年增长率为 27.85%。

主要市场统计数据
基准年 2024 59.4亿美元
预计年份:2025年 75亿美元
预测年份:2032年 424.3亿美元
复合年增长率 (%) 27.85%

本文简要概述了先进的感测技术、演算法建模和营运要务如何重新定义现代体育生态系统中的竞争优势。

人工智慧正迅速从体育生态系统中的实验性优势转变为营运必需品。本文旨在为寻求清晰方向的相关人员提供精准的背景资讯。先进感测技术、演算法建模和可扩展云端基础设施的整合,正在拓展球队、联赛、广播公司和商业伙伴可采取的干预措施范围,这使得领导者更加需要优先考虑能力投资和组织转型。

电脑视觉、机器学习和自然语言处理技术的进步如何推动团队、广播公司和联盟的营运结构重组和组织管治变革?

随着技术成熟和市场需求的共同作用,体育界正在经历变革时期,重塑各组织在球场内外的竞争方式。电脑视觉技术的进步使得大规模的自动事件侦测和战术分析成为可能,而机器学习技术则简化了伤害预测和个人化训练。自然语言处理也加速了内容生成和粉丝互动,从而创造了新的获利和参与管道。

评估2025年美国关税将如何改变体育人工智慧供应链中的硬体采购、部署计画和策略采购方式

美国关税将于2025年生效,其累积影响正造成供应链摩擦,波及硬体采购、云端基础设施成本以及体育人工智慧领域的国际合作。关税导致专用处理器和感测器硬体成本上涨,迫使各机构重新评估筹资策略,优先考虑对现有资产维修,并探索本地製造和替代零件供应商。这些调整会影响任何部署项目的进度,从体育场馆规模的系统到运动员穿戴式设备,而资本支出是其中的关键考量。

详细的細項分析解释了产品、技术、应用和最终用户方面的差异如何驱动不同的采用通路和商业化策略。

关键的市场细分洞察始于产品解决方案的交付,并揭示了不同的市场区隔如何需要量身定制的技术服务回应。从交付角度来看,软体解决方案往往侧重于模型开发、分析平台和整合框架,而服务则涵盖了託管服务(负责运行和维护已部署的系统)以及专业服务(提供策略和实施咨询)。这种区分至关重要,因为缺乏内部资料工程能力的组织往往依赖託管服务来维持日常运营,而寻求客製化分析能力的组织则利用专业服务来加速能力转移。

区域比较趋势:美洲、欧洲、中东和非洲以及亚太地区对体育人工智慧应用、监管和商业化的影响

区域趋势正在影响人工智慧驱动的体育解决方案的采用速度和形式,地理差异会影响法规环境、商业性伙伴关係和人才供应。在美洲,投资往往集中在职业联赛、广播技术创新和特许经营主导的商业化方面,从而促进了技术供应商和媒体版权拥有者之间的深度合作。这种环境推动了球迷互动工具和高级分析技术的快速试验,并透过现有的赞助和媒体管道加速了专有绩效平台的商业化。

对体育人工智慧生态系统中推动竞争定位和应用的公司原型、伙伴关係动态和差异化能力进行分析性回顾

主要企业洞察凸显了不同组织模式如何在整个生态系统中产生市场讯号和竞争压力。技术平台提供者透过模型可解释性、整合能力以及针对特定运动工作流程的垂直整合功能集来脱颖而出。同时,系统整合商和託管服务供应商透过提供端到端交付来提升价值,从而减轻缺乏内部工程能力的团队和联合会的负担。技术供应商与广播公司/版权持有机构之间的策略联盟通常能够透过独家内容和资料存取权限来加速分发并创造可防御的网路效应。

为经营团队提供切实可行的、优先的步骤,以将人工智慧倡议转变为可扩展、管治且与商业性相符的业务和媒体能力。

针对行业领导者的具体建议着重于协调策略、能力和管治,以将人工智慧的潜力转化为可持续的竞争优势。领导者应优先建构模组化架构,以实现迭代式部署。首先,应确定具有高影响力、低门槛的应用案例,这些案例能够展现可衡量的业务收益,并可在团队和广播工作流程中扩展应用。这种务实的方法可以降低部署风险,并为进一步投资和获得经营团队支援创造可信赖的内部理由。

采用透明、多维度的研究方法,结合相关人员访谈、个案研究和政策分析,为决策者提供实际可行的见解。

本调查方法结合了定性和定量方法,旨在揭示技术的严谨性和商业性适用性。主要工作包括与来自俱乐部、联合会、广播合作伙伴和技术供应商的相关人员进行结构化访谈,以了解其采用驱动因素、采购流程和营运限制。此外,还对实施案例研究和公开技术文件进行了系统性审查,以检验模型架构和部署模式在实际应用中的有效性。

这份总结报告结合了技术能力、组织实践和管治要务,提出了在体育领域实现永续人工智慧驱动竞争优势的蓝图。

总之,人工智慧正在改变运动的各个层面——从竞技、转播到商业——这不仅为寻求竞争和发展的组织带来了机会,也带来了实际挑战。从电脑视觉到强化学习再到自然语言处理,人工智慧技术堆迭提供了广泛的功能,可以显着提升运动员的竞技水平,增强球迷的观赛体验,并简化媒体製作流程。然而,要实现这些优势,需要严谨的实施、完善的管治以及能够适应不断变化的贸易和监管趋势的灵活筹资策略。

目录

第一章:序言

第二章调查方法

第三章执行摘要

第四章 市场概览

第五章 市场洞察

  • 将穿戴式感测器数据与人工智慧结合,进行即时分析,以优化运动员表现。
  • 利用人工智慧进行智慧体育场基础设施​​管理,优化观众人潮和能源效率
  • 利用自然语言科技追踪社群媒体平台上粉丝的情绪与互动状况
  • 利用人工智慧技术,透过对运动员表现和影像进行自动化分析来发现人才
  • 利用深度神经网路实现精准比赛判罚的自动裁判辅助系统
  • 基于动态和负荷分析的运动伤害预测深度学习模型
  • 即时人工智慧预测模型将影响赛中投注赔率,并改变体育博彩市场。
  • 利用人工智慧增强的虚拟实境训练,透过个人化训练方案生成,提升运动员技能。
  • 利用机器学习驱动的策略战术选择和对手分析来获得竞争优势
  • 电脑视觉分析助力体育赛事直播中的球迷互动分析

第六章美国关税的累积影响,2025年

第七章 人工智慧的累积影响,2025年

第八章:人工智慧在体育市场的应用

  • 服务
    • 託管服务
    • 专业服务
  • 软体解决方案

第九章 体育领域人工智慧市场(依技术类型划分)

  • 电脑视觉
  • 机器学习
    • 强化学习
    • 监督式学习
    • 无监督学习
  • 自然语言处理

第十章 按应用领域分類的体育人工智慧市场

  • 粉丝体验
  • 媒体广播
  • 绩效改进
  • 体育行销

第十一章 体育领域人工智慧市场(按最终用户划分)

  • 运动员
  • 教练和培训师
  • 体育协会/联合会
  • 运动队伍/俱乐部

第十二章 各地区运动人工智慧市场

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 欧洲、中东和非洲
    • 欧洲
    • 中东
    • 非洲
  • 亚太地区

第十三章 体育领域人工智慧市场(按群体划分)

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

第十四章 各国运动人工智慧市场

  • 美国
  • 加拿大
  • 墨西哥
  • 巴西
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 义大利
  • 西班牙
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国

第十五章 竞争格局

  • 2024年市占率分析
  • FPNV定位矩阵,2024
  • 竞争分析
    • Amazon Web Services, Inc.
    • Arccos Golf LLC
    • BetGenius Ltd
    • DICK'S Sporting Goods Company
    • Facebook, Inc. by Meta Platforms, Inc.
    • Fujitsu Limited
    • Google LLC by Alphabet Inc.
    • Hysport Sports Technologies, Inc.
    • Intel Corporation
    • International Business Machines Corporation
    • iSportConnect Ltd
    • Kitman Labs Ltd
    • Microsoft Corporation
    • NTT DATA Corporation
    • PlaySight Interactive Ltd.
    • Qualcomm Technologies, Inc.
    • Salesforce, Inc.
    • SAP SE
    • SAS Institute, Inc.
    • Sony Group Corporation
    • Sportlogiq Inc.
    • Sportradar AG
    • Stats Perform
    • WSC Sports Technologies Ltd
    • Zebra Technologies Corporation
Product Code: MRR-5D693B46C020

The Artificial Intelligence in Sports Market is projected to grow by USD 42.43 billion at a CAGR of 27.85% by 2032.

KEY MARKET STATISTICS
Base Year [2024] USD 5.94 billion
Estimated Year [2025] USD 7.50 billion
Forecast Year [2032] USD 42.43 billion
CAGR (%) 27.85%

Concise contextual framing of how advanced sensing, algorithmic modeling, and operational imperatives are redefining competitive advantage across modern sports ecosystems

Artificial intelligence is rapidly transitioning from an experimental advantage to an operational imperative across sports ecosystems, and this introduction sets a precise context for stakeholders seeking clarity and direction. The convergence of advanced sensing, algorithmic modeling, and scalable cloud infrastructure has expanded the palette of interventions available to teams, leagues, broadcasters, and commercial partners, thereby elevating the stakes for leaders who must prioritize capability investments and organizational change.

In the pages that follow, readers will find a structured analysis that balances technological depth with commercial relevance. The narrative situates emerging AI modalities-such as computer vision and reinforcement learning-within practical use cases spanning performance enhancement, fan experience, and media operations. By foregrounding contemporary adoption patterns and implementation constraints, this introduction prepares executives to evaluate opportunities against governance, data management, and talent implications, fostering informed decisions that align technical possibilities with strategic objectives.

How advances in computer vision, machine learning, and NLP are driving operational rewiring and organizational governance changes across teams, broadcasters, and federations

The landscape of sports has entered a period of transformative shifts driven by a combination of technological maturity and market demand, reshaping how organizations compete on and off the field. Advances in computer vision have enabled automated event detection and tactical analytics at scale, while machine learning techniques streamline injury prediction and training personalization. Natural language processing has also accelerated content generation and fan interaction, creating new channels for monetization and engagement.

These shifts are not purely technical; they are organizational as well. Clubs and federations are redesigning workflows to integrate data science into coaching and operations, while broadcasters are embedding AI into production pipelines to deliver richer, more personalized viewing experiences. As a result, competitive differentiation increasingly depends on the ability to convert algorithmic outputs into operational decisions, manage ethical and privacy considerations, and cultivate interdisciplinary teams that bridge technical and domain expertise. Consequently, governance frameworks and procurement strategies must evolve in parallel to ensure sustainable and responsible deployment of AI capabilities.

Assessment of how the 2025 United States tariff measures are reshaping hardware sourcing, deployment timelines, and strategic procurement approaches across the sports AI supply chain

The cumulative impact of the United States tariffs introduced in 2025 introduces discrete supply chain frictions that ripple across hardware procurement, cloud infrastructure costs, and international collaboration in the AI-for-sports domain. Tariff-driven uplifts in the cost of specialized processing units and sensor hardware compel organizations to reassess sourcing strategies, prioritize retrofitting existing assets, and explore local manufacturing or alternative component suppliers. These adjustments influence deployment timelines for stadium-scale systems and athlete-level wearables alike, where capital outlays become a central consideration.

In response, stakeholders are increasingly evaluating hybrid architectures that decouple latency-sensitive inference from large-scale model training, thereby optimizing where compute is performed to manage total cost of ownership. At the same time, procurement teams are negotiating longer lead times and pursuing strategic partnerships with regional suppliers to mitigate tariff exposure. From a regulatory and commercial standpoint, tariffs also catalyze conversations about data sovereignty and cross-border collaboration, as organizations weigh the trade-offs between cost, performance, and the need to maintain continuous innovation pipelines. As a result, adaptive sourcing and modular system design emerge as practical approaches to preserve agility under altered trade dynamics.

In-depth segmentation analysis explaining how offering, technology, application, and end-user distinctions drive divergent adoption pathways and commercialization strategies

Key segmentation insights reveal how different market layers demand tailored technological and service responses, beginning with product and solution offerings. When viewed through the lens of offering, software solutions tend to focus on model development, analytics platforms, and integration frameworks, while services encompass managed services that operate and maintain deployed systems and professional services that consult on strategy and deployment. This distinction matters because organizations that lack in-house data engineering capacity frequently rely on managed services for continuous operations, whereas those seeking bespoke analytics capabilities engage professional services to accelerate capability transfer.

Examining technology type clarifies why investment patterns differ across initiatives: computer vision delivers tangible event and spatial analytics, machine learning underpins predictive and prescriptive models, and natural language processing enhances media workflows and fan engagement. Within machine learning, subtypes such as reinforcement learning enable decision optimization in dynamic environments, supervised learning supports outcome and classification tasks, and unsupervised learning uncovers latent patterns in high-dimensional performance data. These technical modalities pair with application areas-fan experience, media and broadcasting, performance enhancement, and sports marketing-to create distinct value chains that each require specific data inputs, validation regimes, and user experience design considerations.

Finally, end-user segmentation-athletes, coaches and trainers, sports associations and federations, and sports teams and clubs-shapes adoption pathways and procurement preferences. Athletes and coaching staff typically prioritize real-time, low-latency insights that directly influence training and competition, whereas federations and leagues emphasize governance, standardization, and scalable content distribution. Teams and clubs balance competitive needs with commercial objectives, often seeking integrated solutions that support both performance outcomes and fan monetization strategies. Taken together, these segmentation layers underscore the necessity of aligning product design, deployment models, and commercial terms with the unique operational priorities of each stakeholder group.

Comparative regional dynamics highlighting how the Americas, Europe Middle East & Africa, and Asia-Pacific regions shape adoption, regulation, and commercialization of sports AI

Regional dynamics shape both the pace of adoption and the forms that AI-enabled sports solutions take, with geographic nuance influencing regulatory environments, commercial partnerships, and talent availability. In the Americas, investment tends to concentrate on professional leagues, broadcast innovation, and franchise-driven commercialization, prompting deep collaboration between technology vendors and media rights holders. This environment fosters rapid experimentation in fan engagement tools and advanced analytics, and it accelerates the commercialization of proprietary performance platforms through established sponsorship and media channels.

In contrast, the Europe, Middle East & Africa region presents a heterogeneous landscape where strong club systems, national federations, and varied regulatory regimes create opportunities for standardized frameworks as well as bespoke solutions. Here, cross-border competitions and diverse stakeholder structures incentivize shared standards for data governance and competitive fairness, and federations frequently act as conveners for technology pilots. Transitioning eastward, the Asia-Pacific region exhibits a fast-growing appetite for both consumer-facing experiences and high-performance solutions, driven by significant investments in stadium infrastructure, mobile-first consumption habits, and the rapid deployment of edge computing. Collectively, these regional contours inform go-to-market strategies, partnership models, and the localization of user experiences, requiring vendors and rights holders to adapt product roadmaps to regional priorities and operational realities.

Analytical review of company archetypes, partnership dynamics, and differentiating capabilities that drive competitive positioning and adoption across the sports AI ecosystem

Key company insights emphasize how different organizational archetypes create market signals and competitive pressure across the ecosystem. Technology platform providers are increasingly differentiating on model explainability, integration capabilities, and verticalized feature sets that address sports-specific workflows. At the same time, systems integrators and managed service providers consolidate value by offering end-to-end delivery, reducing the burden on teams and federations that lack in-house engineering scale. Strategic partnerships between technology vendors and broadcast or rights-holding organizations frequently accelerate distribution and create defensible network effects through exclusive content and data access.

Moreover, companies that invest in interdisciplinary teams-combining data scientists, domain experts, and product designers-tend to produce solutions that are both technically robust and operationally adoptable. Intellectual property around specialized models, annotation tools for domain-specific datasets, and validated injury-risk algorithms become differentiators that drive customer preference. At the same time, commercial success depends on transparent governance and ethical practices, where verifiable performance, data provenance, and privacy safeguards reduce adoption friction among risk-averse stakeholders. Ultimately, businesses that balance technical innovation with pragmatic deployment models and clear value articulation are positioned to capture long-term strategic relationships across the sports sector.

Practical and prioritized steps for executives to translate AI initiatives into scalable, governed, and commercially aligned capabilities across operations and media

Actionable recommendations for industry leaders focus on aligning strategy, capability, and governance to translate AI potential into sustained competitive outcomes. Leaders should prioritize building modular architectures that allow iterative deployment; begin by identifying high-impact, low-friction use cases that demonstrate measurable operational benefits and can be scaled across teams or broadcast workflows. This pragmatic approach reduces adoption risk and creates credible internal case studies to secure further investment and executive buy-in.

Furthermore, invest in organizational capabilities that bridge the gap between data science and domain expertise. Cross-functional squads combining coaching staff, performance scientists, and engineers accelerate model refinement and ensure outputs are actionable in live environments. Concurrently, establish clear governance practices that define data ownership, consent mechanisms, and model validation procedures, thereby reducing legal and reputational risk. From a commercial perspective, pursue partnership models that align incentives across rights holders, technology vendors, and service providers to unlock shared value, and consider hybrid sourcing strategies to mitigate supply chain exposure and tariff impacts. By prioritizing modularity, talent integration, governance, and aligned commercial arrangements, leaders can convert experimental pilots into durable operational capabilities.

Transparent, multi-method research approach combining stakeholder interviews, case study review, and policy analysis to ensure robust, actionable insights for decision-makers

The research methodology underpinning these insights integrates qualitative and quantitative approaches designed to surface both technical fidelity and commercial applicability. Primary engagement included structured interviews with stakeholders across clubs, federations, broadcast partners, and technology vendors to understand adoption drivers, procurement processes, and operational constraints. These conversations were complemented by a systematic review of implementation case studies and publicly available technical documentation to validate model architectures and deployment patterns against real-world applications.

Analysts also evaluated regulatory frameworks and trade policy developments that influence sourcing and cross-border data flows, triangulating implications with procurement and engineering teams to assess practical mitigation strategies. Throughout, emphasis remained on reproducible methods: interview protocols, evidence trails, and cross-validation steps ensured findings are grounded in multiple perspectives. Finally, insights were synthesized with attention to applicability, highlighting use cases that bridge technical viability and operational impact to inform strategic decision-making across stakeholder groups.

Concluding synthesis that connects technological capabilities, organizational practices, and governance imperatives to chart a roadmap for sustainable AI-driven competitive advantage in sports

In conclusion, artificial intelligence is reshaping sports across performance, broadcasting, and commercial dimensions, creating both opportunities and practical challenges for organizations seeking to compete and grow. The technology stack-from computer vision to reinforcement learning and NLP-offers a spectrum of capabilities that can materially enhance athlete outcomes, augment fan experiences, and streamline media production. Yet realizing these benefits depends on disciplined implementation, sound governance, and adaptive sourcing strategies that account for evolving trade and regulatory dynamics.

Looking ahead, sustainable advantage will accrue to organizations that integrate technical excellence with operational pragmatism: those that adopt modular deployment architectures, cultivate interdisciplinary talent, and establish transparent governance frameworks will capture more value from AI investments. By aligning strategic priorities with measured pilots and partnership models that share incentives, leaders can move beyond experimentation to institutionalize AI as a core competency that supports competitive differentiation and long-term resilience in an increasingly data-driven sports landscape.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Integration of wearable sensor data with AI for real-time athlete performance optimization
  • 5.2. Intelligent stadium infrastructure management leveraging AI for crowd flow and energy efficiency
  • 5.3. Natural language processing tracking fan sentiment and engagement across social media platforms
  • 5.4. AI powered talent identification through automated analysis of athlete performance and video footage
  • 5.5. Automated officiating decision support using deep neural networks for accurate game rulings
  • 5.6. Deep learning models predicting sports injuries through biomechanical and workload analysis
  • 5.7. Real-time AI predictive modeling transforming in-play betting odds and sports wagering markets
  • 5.8. AI enhanced virtual reality training with personalized drill generation for athlete skill development
  • 5.9. Machine learning driven strategic play calling and opponent analysis for competitive advantage
  • 5.10. Computer vision analytics powering fan engagement insights during live sports broadcasts

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Artificial Intelligence in Sports Market, by Offering

  • 8.1. Services
    • 8.1.1. Managed Services
    • 8.1.2. Professional Services
  • 8.2. Software Solutions

9. Artificial Intelligence in Sports Market, by Technology Type

  • 9.1. Computer Vision
  • 9.2. Machine Learning
    • 9.2.1. Reinforcement Learning
    • 9.2.2. Supervised Learning
    • 9.2.3. Unsupervised Learning
  • 9.3. Natural Language Processing

10. Artificial Intelligence in Sports Market, by Application

  • 10.1. Fan Experience
  • 10.2. Media and Broadcasting
  • 10.3. Performance Enhancement
  • 10.4. Sports Marketing

11. Artificial Intelligence in Sports Market, by End-user

  • 11.1. Athletes
  • 11.2. Coaches & Trainers
  • 11.3. Sports Associations/Federations
  • 11.4. Sports Teams/Clubs

12. Artificial Intelligence in Sports Market, by Region

  • 12.1. Americas
    • 12.1.1. North America
    • 12.1.2. Latin America
  • 12.2. Europe, Middle East & Africa
    • 12.2.1. Europe
    • 12.2.2. Middle East
    • 12.2.3. Africa
  • 12.3. Asia-Pacific

13. Artificial Intelligence in Sports Market, by Group

  • 13.1. ASEAN
  • 13.2. GCC
  • 13.3. European Union
  • 13.4. BRICS
  • 13.5. G7
  • 13.6. NATO

14. Artificial Intelligence in Sports Market, by Country

  • 14.1. United States
  • 14.2. Canada
  • 14.3. Mexico
  • 14.4. Brazil
  • 14.5. United Kingdom
  • 14.6. Germany
  • 14.7. France
  • 14.8. Russia
  • 14.9. Italy
  • 14.10. Spain
  • 14.11. China
  • 14.12. India
  • 14.13. Japan
  • 14.14. Australia
  • 14.15. South Korea

15. Competitive Landscape

  • 15.1. Market Share Analysis, 2024
  • 15.2. FPNV Positioning Matrix, 2024
  • 15.3. Competitive Analysis
    • 15.3.1. Amazon Web Services, Inc.
    • 15.3.2. Arccos Golf LLC
    • 15.3.3. BetGenius Ltd
    • 15.3.4. DICK'S Sporting Goods Company
    • 15.3.5. Facebook, Inc. by Meta Platforms, Inc.
    • 15.3.6. Fujitsu Limited
    • 15.3.7. Google LLC by Alphabet Inc.
    • 15.3.8. Hysport Sports Technologies, Inc.
    • 15.3.9. Intel Corporation
    • 15.3.10. International Business Machines Corporation
    • 15.3.11. iSportConnect Ltd
    • 15.3.12. Kitman Labs Ltd
    • 15.3.13. Microsoft Corporation
    • 15.3.14. NTT DATA Corporation
    • 15.3.15. PlaySight Interactive Ltd.
    • 15.3.16. Qualcomm Technologies, Inc.
    • 15.3.17. Salesforce, Inc.
    • 15.3.18. SAP SE
    • 15.3.19. SAS Institute, Inc.
    • 15.3.20. Sony Group Corporation
    • 15.3.21. Sportlogiq Inc.
    • 15.3.22. Sportradar AG
    • 15.3.23. Stats Perform
    • 15.3.24. WSC Sports Technologies Ltd
    • 15.3.25. Zebra Technologies Corporation

LIST OF FIGURES

  • FIGURE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2024 VS 2032 (%)
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2024 VS 2032 (%)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2024 VS 2032 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 11. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 12. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 13. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 14. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 15. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 16. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 17. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 20. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 21. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 22. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 23. BRICS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 24. G7 ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 25. NATO ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
  • FIGURE 27. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 28. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, 2025-2032 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MANAGED SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MANAGED SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MANAGED SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MANAGED SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MANAGED SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MANAGED SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PROFESSIONAL SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PROFESSIONAL SERVICES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PROFESSIONAL SERVICES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PROFESSIONAL SERVICES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PROFESSIONAL SERVICES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PROFESSIONAL SERVICES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SOFTWARE SOLUTIONS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SOFTWARE SOLUTIONS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SOFTWARE SOLUTIONS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SOFTWARE SOLUTIONS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SOFTWARE SOLUTIONS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SOFTWARE SOLUTIONS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COMPUTER VISION, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COMPUTER VISION, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COMPUTER VISION, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COMPUTER VISION, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COMPUTER VISION, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY REINFORCEMENT LEARNING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY REINFORCEMENT LEARNING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY REINFORCEMENT LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY REINFORCEMENT LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUPERVISED LEARNING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUPERVISED LEARNING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUPERVISED LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUPERVISED LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY UNSUPERVISED LEARNING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY UNSUPERVISED LEARNING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY UNSUPERVISED LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY UNSUPERVISED LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY FAN EXPERIENCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY FAN EXPERIENCE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY FAN EXPERIENCE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY FAN EXPERIENCE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY FAN EXPERIENCE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY FAN EXPERIENCE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MEDIA AND BROADCASTING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MEDIA AND BROADCASTING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MEDIA AND BROADCASTING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MEDIA AND BROADCASTING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MEDIA AND BROADCASTING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MEDIA AND BROADCASTING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PERFORMANCE ENHANCEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PERFORMANCE ENHANCEMENT, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PERFORMANCE ENHANCEMENT, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PERFORMANCE ENHANCEMENT, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PERFORMANCE ENHANCEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY PERFORMANCE ENHANCEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS MARKETING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS MARKETING, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 95. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS MARKETING, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 96. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS MARKETING, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 97. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS MARKETING, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 98. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS MARKETING, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 99. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 100. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 101. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY ATHLETES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 102. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY ATHLETES, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 103. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY ATHLETES, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 104. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY ATHLETES, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 105. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY ATHLETES, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 106. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY ATHLETES, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 107. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COACHES & TRAINERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 108. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COACHES & TRAINERS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 109. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COACHES & TRAINERS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 110. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COACHES & TRAINERS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 111. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COACHES & TRAINERS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 112. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COACHES & TRAINERS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 113. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS ASSOCIATIONS/FEDERATIONS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 114. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS ASSOCIATIONS/FEDERATIONS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 115. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS ASSOCIATIONS/FEDERATIONS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 116. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS ASSOCIATIONS/FEDERATIONS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 117. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS ASSOCIATIONS/FEDERATIONS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 118. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS ASSOCIATIONS/FEDERATIONS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 119. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS TEAMS/CLUBS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 120. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS TEAMS/CLUBS, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 121. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS TEAMS/CLUBS, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 122. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS TEAMS/CLUBS, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 123. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS TEAMS/CLUBS, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 124. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SPORTS TEAMS/CLUBS, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 125. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 126. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY REGION, 2025-2032 (USD MILLION)
  • TABLE 127. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUBREGION, 2018-2024 (USD MILLION)
  • TABLE 128. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUBREGION, 2025-2032 (USD MILLION)
  • TABLE 129. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 130. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 131. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 132. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 133. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 134. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 135. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 136. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 137. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 138. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 139. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 140. AMERICAS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 141. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 142. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 143. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 144. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 145. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 146. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 147. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 148. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 149. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 150. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 151. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 152. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 153. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 154. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 155. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 156. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 157. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 158. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 159. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 160. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 161. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 162. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 163. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 164. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 165. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 166. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 167. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 168. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 169. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUBREGION, 2018-2024 (USD MILLION)
  • TABLE 170. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SUBREGION, 2025-2032 (USD MILLION)
  • TABLE 171. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 172. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 173. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 174. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 175. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 176. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 177. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 178. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 179. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 180. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 181. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 182. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 183. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 184. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 185. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 186. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 187. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 188. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 189. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 190. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 191. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 192. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 193. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 194. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 195. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 196. EUROPE ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 197. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 198. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 199. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 200. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 201. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 202. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 203. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 204. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 205. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 206. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 207. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 208. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 209. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 210. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 211. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 212. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 213. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 214. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 215. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 216. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 217. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 218. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 219. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 220. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 221. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 222. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 223. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 224. AFRICA ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 225. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 226. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 227. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 228. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 229. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 230. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 231. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 232. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 233. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 234. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 235. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 236. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 237. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 238. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 239. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY GROUP, 2018-2024 (USD MILLION)
  • TABLE 240. GLOBAL ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY GROUP, 2025-2032 (USD MILLION)
  • TABLE 241. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 242. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 243. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 244. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 245. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 246. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 247. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 248. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 249. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 250. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 251. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 252. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 253. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 254. ASEAN ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 255. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 256. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 257. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 258. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 259. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 260. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 261. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 262. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 263. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 264. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 265. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 266. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 267. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 268. GCC ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 269. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 270. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 271. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 272. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 273. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 274. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 275. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 276. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2025-2032 (USD MILLION)
  • TABLE 277. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
  • TABLE 278. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
  • TABLE 279. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 280. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
  • TABLE 281. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2018-2024 (USD MILLION)
  • TABLE 282. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY END-USER, 2025-2032 (USD MILLION)
  • TABLE 283. BRICS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 284. BRICS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY COUNTRY, 2025-2032 (USD MILLION)
  • TABLE 285. BRICS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
  • TABLE 286. BRICS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY OFFERING, 2025-2032 (USD MILLION)
  • TABLE 287. BRICS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 288. BRICS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY SERVICES, 2025-2032 (USD MILLION)
  • TABLE 289. BRICS ARTIFICIAL INTELLIGENCE IN SPORTS MARKET SIZE, BY TECHNOLOGY TYPE, 2018-2024 (USD MILLION)
  • TABLE 290. BRICS ARTIF