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2024 sports industry outlook

A scouting report of five major industry trends

As the global sports industry continues to navigate a period of massive transformation, our 2024 outlook explores five trends sports organisations are expected to face in the coming year. This includes the changing economics of sports, use cases for generative artificial intelligence (AI), the future of mega-events, investments in fan Data and the potential for a “new normal” in college athletics.


A new era of sports
 

Looking back one day, the five years after the coronavirus pandemic will be seen as a transformative period in the global sports industry. This period will be marked by significant changes in technological capabilities, as well as shifts in business and commercial models for sports leagues and teams.

Over the past few years, individual athletes have had unique impacts on the sports landscape—with many reaching “influencer” status, speaking openly about social issues and changing the way fans can connect directly with their favourite sports stars. We’ve also seen sports fans themselves having a notable influence on how sports are consumed and monetised—and how sports are woven into the broader media and entertainment ecosystem.

As the global sports industry continues to navigate this period of massive transformation, our 2024 outlook will explore five trends sports organisations are expected to face in the coming year and the corresponding impacts.

Our 2024 outlook in brief:

  • The overall economics of the sports industry is expected to continue to be strong in 2024. However, the commercial model, which has been undergoing significant shifts in recent years, will likely continue to transform across both traditional and emerging revenue streams.
  • Moving forward, we expect to see many sports organisations and leagues put significant effort—and investment—into aggregating and managing their own extensive fan Data programmes and building proprietary fan databases.
  • Like Data analytics and machine learning before it, generative AI will likely quickly permeate many aspects of sports. Over the course of the next 12-18 months, we expect to see a groundswell of innovative applications involving content generation and management, live sports coverage, player evaluation, sports betting, fan engagement and back-office operations.
  • The Paris Games may be a proof point for the International Olympic Committee’s “New Norm” and may illustrate a new model for the future—and potential host countries and organising committees around the world will be watching.
  • From the announcement of countless conference changes to several record-breaking name, image and likeness (NIL) deals, the past few years in college athletics have been jam-packed with change. Will 2024 be the year we start to see a “new normal” set in? Or is more disruption on the way?

Download the full report to learn more about the impacts of these sports industry trends, key actions to take and critical questions to ask.

A closer look at this year’s trends

The overall economics of the sports industry is expected to continue to be strong in 2024. However, the commercial model, which has been undergoing significant shifts in recent years, will likely continue to transform across both traditional and emerging revenue streams. Traditional areas like sponsorships, ticketing, licensing and merchandise will likely continue to evolve based on better collection, analysis and use of fan Data. Emerging trends—like a greater variety of investors and media rights holders, globalisation, the growth of women’s sports and new Real Estate ventures—could unlock new possibilities.

Evidence of the industry’s strength is supported by the fact that team valuations continue to climb—for both men’s and women’s sports. The value of many teams and leagues is anchored by lucrative media rights deals. In 2024, we’ll see how this competitive market is maturing with official negotiations starting for the NBA and new deals for some of Europe’s major football leagues.

What about emerging sports business areas? This year, we expect to see more interest and activity from opportunities related to globalisation, women’s sports and sports venues with multi-use districts.

Strategic questions to consider:


  • As globalisation expands, how can teams, leagues and media companies keep the focus on supporting local fans?
  • How can teams, leagues and media companies improve discoverability and reduce barriers to entry to strengthen the next generation of fans?
  • Is the growth in media rights sustainable? Will streaming’s recent woes rub off on their sports aspirations? And if a breaking point is reached, what would the ramifications be?
  • How can teams, leagues and associations continue to diversify their revenue streams and create a more balanced portfolio not so reliant on media rights?

But gathering fan insights may not be enough. Collecting and aggregating fan behavioural and interaction Data—with relevant second- and third-party Data—to build out a database with a single, comprehensive record for each fan is step one. Using the Data and monetising it is step two.

For starters, sports organisations can use this Data to better target and reach fans, with personalised marketing messages, promotions and fan experiences—all in the hopes of driving engagement, loyalty and purchasing. In addition to driving fan engagement and spending, these proprietary fan databases can also support emerging revenue streams for leagues and teams by securing stronger sponsorships, naming rights and media rights deals.

Strategic questions to consider:


  • What partners should sports organisations collaborate with in order to advance their fan Data programme to meet the needs of the evolving sports landscape?
  • What is the monetisation strategy for fan Data and what capabilities need to be built up to drive that strategy forward?
  • How can leagues and teams responsibly work with second- and third-party vendors (and implement Data-sharing agreements) to build databases that create a full profile of their fans?
  • In what ways can leagues, organisations and sports ownership groups use fan databases to connect, interact and engage with their fans—and how can loyal and casual fans alike be part of their outreach strategy?

Artificial intelligence (AI) has been used in a variety of sports-specific use cases for several years now. In venues, it’s been used to improve security and provide fans contactless checkout. For athletes, coaches, trainers and referees, it’s been used to help improve performance, enhance scouting, prevent injury and make officiating more objective. For fans, AI is personalising the fan experience and creating a better product to watch. And for front-office operations, artificial intelligence is providing deeper insights into fan behaviour, driving tickets sales through better marketing and simplifying contracting.

Like Data analytics and machine learning before it, generative AI will likely quickly permeate many aspects of sports. Over the course of the next 12-18 months, we expect to see a groundswell of innovative applications involving content generation and management, live sports coverage, player evaluation, sports betting, fan engagement and back-office operations. For fans, generative AI tools and applications can be used to create customised videos and highlights of their favourite teams and players, provide them with promotions based on their behaviours and interests and power chatbots and digital avatars to help them to engage with game content in new ways.

Although there’s a lot of internal and market pressure to quickly adopt generative AI tools and applications, rushing the adoption journey may create issues. Teams, leagues and organisations should look at ways to address both their shorter- and longer-term needs—not only across strategy and technology infrastructure, but also around risk management, governance and talent.

Strategic questions to consider:


  • With the technology and adoption moving so quickly, how can sports organisations stay on top of changes, quickly experiment and scale?
  • How can generative AI capabilities build upon existing AI and Data capabilities for teams, leagues and organisations? How will they need to improve their computing infrastructure and Data platforms to effectively use generative AI?
  • How can organisations best leverage their proprietary Data in combination with increasingly commoditised large language models to enhance and create new revenue streams?
  • What risk mitigation strategies will organisations need to build to handle uncertainties and unanticipated consequences around generative AI—like trusting results, intellectual property issues and multiple regulations?

Mega-events, such as the ICC Cricket World Cup, the Olympic Games, the Rugby World Cup and the FIFA World Cup, seem to be at a crossroads. On one hand, the world should have events that bring people together in global solidarity and fair play. On the other, the complexity and cost of these events may be reaching a breaking point.

For mega-events to remain viable into the future, organisers and host countries should find ways to balance the cost and complexity involved in putting on such events with elements of lasting legacy, community, delivering memorable experiences and increasing fan engagement for spectators in attendance, as well as those watching from home. Though these goals appear to be at odds, technology integration and digitalisation may be key to achieving both objectives concurrently.

The 2024 Paris Olympic Games look to deliver on quality, while managing costs and balancing complexity. If successful, the Paris Games may be a proof point for the International Olympic Committee’s “New Norm” and may illustrate a new model for the future—and potential host countries and organising committees around the world will be watching.

Strategic questions to consider:


  • How can mega-event organisers continue to provide memorable, energetic and unifying experiences while operating at lower costs? What trade-offs can be made between cost and experience?
  • What technology can be utilised by mega-event organisers to make the games more accessible, inclusive, sustainable, safe and exciting for athletes, attendees and viewers at home? How can AI be used to maximise these effects?
  • How can Data be collected and reuse to shorten the mega-event learning curve for the host cities and their teams and how can pre-designed and built solutions be leveraged to deliver an "event in a box"?
  • With more Data, more fans and more immersive experiences comes the mandate to protect this Data and defend the covenant of trust. How can both event hosts and cities infuse and elevate cybersecurity without driving up cost and inhibiting the frictionless experience?
  • How can deliberate strategies be developed around the “legacy” of mega-events in order to support civic infrastructure, community development and the building of more inclusive communities?

From the announcement of countless conference changes to several record-breaking name, image and likeness (NIL) deals, the past few years in college athletics have been full of change. Will 2024 be the year we start to see a “new normal” set in for the schools, the athletes and the National Collegiate Athletic Association (NCAA)? Or is more disruption on the way?

For starters, some big conference moves take effect in 2024. Many of these conference moves were aimed at securing better media deals, maximising programme revenues or locking in competitive advantages—largely for schools’ football and sometimes basketball, teams. These new conference structures may make good business sense for some programmes, but there are growing concerns about student-athlete well-being under the new structure and the perceived “professionalisation” of college athletics.

Another critical issue in college sports is the NIL policy, which allows student-athletes participating at the collegiate level to benefit from their name, image and likeness. The policy has been in effect since 2021, but both the NCAA and Congress have addressed the possibility of adding more guardrails to the current policies.

The old ways of doing business and operating athletic departments were already often strained and while the new set of rules and regulations can create some stability, they could also stretch these organisations even further. Institutions will likely have to reevaluate everything from operating models to commercial models to ensure that they thrive in the “new normal” and take advantage of emerging opportunities.

Strategic questions to consider:


  • How can governing bodies create and successfully implement rules and regulations that strike a healthy balance between profits in college athletics and student-athlete well-being?
  • What protections can be put in place—by the NCAA, Congress or institutions of higher education—that benefit student-athletes in the long term and maintain the integrity and longevity of college athletics well into the future?
  • How will the changes in college athletics have an impact on the professional sports industry—from the pipeline of athletes to their expectations around compensation and sponsorships?
  • How can regulatory bodies balance the tradition of college athletics with the financial interests of power-conference programmes and the well-being of student-athletes?

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From AR and NFT (non-fungible token) to sports betting and shifting dynamics in college athletics, hear from leaders in Deloitte's sports practise—straight from their homes and offices—on the trends they're scouting for the year ahead and beyond. Fill in this form to receive access to the videos which dive deeper into insights for sports organisations, leagues, teams and fans alike.

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