Maximize Impact: Media & Entertainment Trends this year
  • According to the report, the entertainment industry is on the verge of rebounding
  • Online data consumption spiked by 30% during the pandemic.
  • The culture will be influenced by a variety of habits and consumption patterns that were learned during the epidemic.
  • Expect a rebound in live music and cinema.

The positive side effect of a difficult year for the global entertainment and media industry, which is worth approximately $2 trillion annually, was the popularity of online television and film material (sometimes known as "over the top" or OTT) (also known as "over the top" or OTT).


The Impact on the Media and Entertainment Industry

The Impact on the Media and Entertainment Industry

COVID-19 has radically changed the demand patterns and operating practices within media entertainment and communication, creating many challenges and obstacles for industry leaders. Due to COVID-19, businesses in the entertainment and media industries are facing significant headwinds. Companies that rely on physical space for revenue, such as theaters, cinemas, hotels, cruise ships, and theaters, have been negatively affected by lockdowns and stay-at-home requests.

The declining revenue from advertising is also affecting companies that don't rely on physical space. Marketing reports suggest that digital advertising spending is down by 33%, and traditional media has dropped by 39%. The ad revenues associated with live sports are also gone.

Video conferencing, distance learning, cloud-based services, and video streaming are vital components to ensure society and the economy are moving forward. Technology businesses have suffered from challenges in supply chains, particularly those that are dependent on China. However, technology devices like tablets, phones, and computers have been in high demand at a moment when most people are home.


Trends in the Media and Entertainment Sectors

Trends in the Media and Entertainment Sectors

The entertainment and media industries are constantly changing. They adapt and reinvent their structures with the most recent technological advances. Entertainment and media consumption has increased due to the Covid-19 crisis. This is due to a variety of reasons. This is possible thanks to technology.

What's the future for entertainment and media technology in a world that is always closer than our fingertips? Software for entertainment and multimedia enterprise management is perfect for managing and creating digital media. It will also increase efficiency, reduce costs, and make business operations more efficient.


D2C Streaming

Gen Y and Gen Z viewers are spoiled for choice when it comes to streaming content. Users can stream high-quality videos from their homes thanks to the high bandwidth available on the Internet and connectivity to smartphones.

OTT platforms, offer consumers an incredible range of entertainment and cross-platform compatibility, unlike anything viewers have ever experienced. The COVID pandemic boosted the number of OTT platform subscribers by almost 60%. This trend is expected to continue into the post-pandemic era, D2C (Direct-to-Consumer) streaming of videos is likely to be the biggest entertainment and media industry trend.


Esports Broadcasting

While competitive gaming has been around, has gained popularity over the last few years. Online gaming has become a billion-dollar industry thanks to the advancement of powerful gaming consoles as well as wireless high-speed Internet, is now more than just a virtualization of sports. It has evolved into professional leagues and tournaments with millions of dollars in prize money. Big tech companies are entering the market to provide new ideas and massive investments. Broadcasters, sports federations, game publishing companies, and other entities are hosting international tournaments in an effort to replace live events on various social media platforms. This trend is expected to grow over the next few decades.

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Smarter Personalization

According to reports, users are willing to pay more for custom content. They want more interaction with OTT platforms. Media companies and entertainment companies need to identify their specializations and target audiences. Many people could find a lot of personalized and specific content. Companies can use technologies such as Artificial Intelligence & Machine Learning to help them analyze data more effectively.


Nfts Are Now Part Of The Media Chat

NFTs are a way that media and entertainment solutions companies can increase their reach and IP. There is a lot of excitement about them. As the market grows, it could be monetizable. Early adopters are purchasing NFTs that are linked to artwork, sports collectibles, and collectibles. They also acquire unique digital assets that are tradeable and whose ownership is documented using blockchain technology.

The entertainment and media industries will be able to take on many NFT innovations and experimentation. These initiatives have limited financial value. NFT projects in entertainment are primarily marketing-related investments. They aim to increase engagement and reach fans, particularly those who are involved in crypto and want to strengthen their connections with the most prominent media. Media companies could soon earn royalties through secondary sales of NFTs, possibly via transactions related to events in the virtual world.


Cloud Gaming Goes Mainstream

Around 3.2 billion gamers are worldwide. Few people have the hardware required to play the most difficult and innovative games. Cloud gaming solves this problem by streaming video directly to your device. Your computer, smartphone, or smart television is not doing all the work. Gaming on the cloud is likely to hit a rough patch in the near future. But everyone with an Internet connection will soon be able to play the most popular games. The same applies to all new technologies.


Podcast Trends

If you had predicted that podcasts would be a top entertainment option two years ago, we wouldn't have believed you, and podcasts are still riding high on this momentum.

This is evident in the information about podcast consumption.

  • A weekly meeting with podcasts was planned for 35% of the UK
  • 28% of Americans listen to the news
  • The most notable year-on-year growth in podcast listeners was

This number is representative of the world after the pandemic that shook everything. Imagine if you ever felt like you were listening to more podcasts during the pandemic. This study shows that you are not the only one feeling this way.


Bundled Content Services

Entertainment and media industries are constantly changing, and boundaries are blurring between different sectors. However, Amazon Music was originally considered an e-commerce site, which allowed them to house all their content under one roof last year. Previously, they would have given permission for different platforms to host its vast selection of television shows and films.

This not only strengthens brand but also assures an ongoing, predictable income. We can expect to see media business strategies and technologies evolve in the near future to allow for the creation of platforms that offer everything, including movies and series, as well as Augmented or Virtual Reality media, might introduce new features to areas it doesn't currently have a large market share with its adaptable subscription plans.

Read More: Media & Entertainment Software Solutions Great deal of Success Due to the Technology


Virtual Escapism

To escape the stress of living with an epidemic that has spread around the globe, many people are turning to entertainment and media. Virtual technology is being used by musicians, artists, and public figures to help fill the gaps created by the epidemic which has struck them and their followers. Many public appearances have been canceled for safety reasons.

Although the future may not be certain, it is possible to expect this trend is continuing and growing in popularity. Technology has enabled celebrities to have a deeper connection with their fans than ever before. This is just one aspect of virtual performances and social media. This is a new benchmark.

According to research, the most popular non-gaming activity among gamers in the past 12 months was live concerts in-game. 40% of gamers prefer them over other games-related activities and events like TV and movie reviews and sports-related content, as well as virtual simulations of life events and social events such as birthdays, will bring more innovative and creative approaches to the fan experience and virtual abstinence.


AI-Driven Entertainment

AI has the potential to transform the entertainment and media sectors. Intelligent AI and machine learning algorithms suggest the majority of what we watch on streaming services. These algorithms analyze our viewing habits to determine which type of content we enjoy. Similar trends can be seen on music-related apps. You'll constantly get recommendations for music and artists to listen to that you'll eventually become obsessed with.

As Big Data grows and algorithms become more complex, we can expect content recommendations to be more precise. Streaming platforms that know their audience is at the forefront are always in control. AI is a great tool to help with this. AI can also be used in the background. Companies use the technology to automate editing content. This reduces the need for human intervention and thus lowers costs. Major media companies and content producers will need to use artificial emotional Intelligence to understand the impact of their content on emotions.

This is a benefit for strategists and marketers in advertising and marketing as it prevents potentially harmful media campaigns from being released to the public.


Five Emerging Segments in the Media and Entertainment Industry

Five Emerging Segments in the Media and Entertainment Industry

Like other industries, the entertainment and media industry is experiencing rapid expansion and change. In an environment affected by the global pandemic, customers are beginning to expect more from their suppliers.

Good internal communication is essential for long-term growth. This is not an exception for media and entertainment solutions. Businesses in this industry need to be able to connect with other teams and collaborate on large-scale communication in order to stay ahead of the competition.


Video & Traditional TV

Advertising agencies have a wealth of opportunities in OTT, where they can broadcast their brand messages to maximize their reach. Most viewers don't watch more than two hours per day. This is when you can see the shift in viewership from traditional sources to internet-connected devices.


OTT Video

Millions of people love video-sharing. Video sharing is a great way to share content. It doesn't have to be restricted to one platform or device. You can easily access or consume OTT content through the platform's adaptive compatibility.


Internet Advertising

The OTT model uses advertising that is centered around consumers. People will watch their favorite streaming service if they can. People are more inclined to view an online advertisement before they set up the main feature. Your message can reflect your ideal target of satisfying users' needs.


Cinema

Entertainment has seen a shift in its revenue stream model. This indicates that there is an increase in OTT in the film industry. The Internet has made it possible for millions to enjoy movies and television shows via streaming video services.


Video Games & Esports

Video games perform exceptionally well, providing an exciting live-action experience. Online games, such as candy crush, have transformed live-action games into web-based ones that are more popular and attract more players. Esports is a way for several video game companies to make regular income streams in the competitive gaming sector.


How AI is Improving the Media and Entertainment Industry

How AI is Improving the Media and Entertainment Industry

Four primary categories can be used to classify the majority of Artificial Intelligence cases that are encountered in media and entertainment:

  • Advertising and Marketing: Artificial Intelligence is used to create and distribute trailers and design promotional and advertising literature.
  • Personalization of customer experience: Entertainment providers can offer customized content based on information collected from customers' websites and activities using artificial Intelligence apps.
  • Artificial Intelligence (AI) is used to improve the speed and effectiveness of search and classification processes.
  • AR/VR immersive experiences

Advertising and Marketing

Artificial Intelligence is a benefit to marketing in many areas, including film promotion and design. Predictive analytics is the best way to market and advertise. With the help of AI-driven marketing techniques, you can create campaign plans, target customers, and offer custom solutions.


Personalization for the Customer Experience

It is not possible to provide a personal experience. For a company's success, this is crucial, which they may enjoy again. It was also used to identify which sequences were the most popular and to include them in program visuals, a platform that matches consumers to the right material based on previous viewing patterns.


Search Friendliness

When searching for information on media or entertainment platforms, it is possible to get very complicated. AI can greatly simplify functionality. To simplify the search process for their next show, some platforms allow users to upload pictures or voice inputs.


Ar/Vr Is More Widely Used

VR has already revolutionized the entertainment industry. VR headsets can be used by gamers to immerse themselves in an immersive environment that makes it seem like they are actually playing the game. VR is already very popular, but AI makes it even more attractive. Artificial Intelligence (AI) can make background characters smarter and enable them to perform in real-world situations. This technology combination will be a huge benefit to the entertainment industry, particularly the gaming industry.

Read More: 25 Most Promising Media and Entertainment Solution Providers 2023

Media & Entertainment solution companies, as well as industries, could potentially benefit from artificial Intelligence:

  • Targeted Ad: Clients can receive unique, hyper-targeted offers from businesses by combining data from multiple sources. This commercial uses artificial Intelligence for addressability.
  • Scheduling to Media Optimization: AI and data-based algorithms use multiple sources of data to make precise predictions about users' actions. This information can be used by businesses to determine who is most likely to view what, when, and on which device. This data allows the creation of a timetable specific to an audience.
  • AI integration These are only a few benefits that entertainment AI integration has to offer. After seeing these benefits, we are certain that you will be able to see how powerful this combination can make a difference in the industry.

Continuing Content Security

Media and entertainment companies cannot afford to slow down if they want customers to be satisfied. Businesses cannot afford to lose customer trust if they are serious about security.

Remember that a solid defense is better than an inept offense. An attacker is less likely to find a weakness in your defenses if security features are included from the beginning in your cloud infrastructure processes. Security of customer data, intellectual property, and other media investments is dependent on quickly identifying and fixing security issues.


Six Ways AI Will Change Media & Entertainment

Six Ways AI Will Change Media & Entertainment

Entertainment and media companies must adapt to changing content consumption habits. They are able to lower operating costs and increase income through content delivery. Businesses are making changes to their business models and offerings to meet customer needs. By using data and usage trends, they promote their products to billions rather than just billions. Media and data have been closely linked for many years.

Data is a new era. You can make continuous adjustments to your company using real-time data from different data sources. Machine learning and AI are used by modern media and entertainment companies to scale these areas.


Hyper-Targeted Advertisement

Companies can combine information from multiple sources to create specialized offers that are hyper-targeted and take into consideration all client bases. This is also known as advertising and TV. It allows businesses to communicate with customers in accordance with their interests and preferences. AI and ML allow media and entertainment companies to accurately predict attrition rates, place ads at the right times and places, and create more targeted offers to increase conversion.


Optimized Media Scheduling

Both AI and data-driven solutions rely on the fusion of data from multiple sources. The user can then decide their course of action and make accurate predictions. Schedule optimization can be made easier by using unexpected data sources. A company can adjust its media schedule based on weather information or other information like rain. Companies can adjust their scheduling streams immediately to take into account weather conditions (e.g., captive audiences are more likely than others to be present on a stormy or rainy day). It doesn't end there. To maximize views, you can use predictions to predict who and what devices will be most likely to view it.


Programmatic Ad Buying

Conventional ad slots are purchased based on audience data (age and gender, region, etc.). However, they don't take into consideration the high degree of viewing fluidity. Advertising buying is a manual, laborious task. Automated advertising buying was born. This system combines real-time analytics with automation to purchase advertisements across multiple media channels, including cable and satellite TV. This new method of buying advertising space uses systems that monitor audience dynamics across multiple channels and can respond to purchases as soon as they become available.


Predictive Modeling for Targeted Content Generation

This allowed them to predict the success of the series. This suggests that they heavily rely upon predictive modeling and data right from the beginning. Instead of gathering people together to brainstorm ideas, then creating pilots, and finally using data for judging how they perform.

Predictive modeling can be used by media and entertainment companies to predict their audience's behavior, as well as to respond to it in real time. This could have a negative impact on long-term investments. For example, which movies will be most popular in the next two years? Businesses can also predict which clients will be watching a particular type of content and what devices they will use.


Churn Prevention

This is important for the entertainment and media industries. It is important to identify which customers are most likely to churn so that you can target them with targeted marketing and offers. We've written extensively on how data science and machine learning can be used to predict churners.


Smart Recommendations and Personalized Content Experiences

Recommendation systems are used by media outlets to predict what information and content readers will be most interested in. Machine learning and structured data can be combined to match users with content. This reduces costs and improves the relevancy of content recommendations. The major internet media companies, are placing more emphasis on interactive, intelligent content powered by AI. It is possible that we will see a shift away from content recommendation algorithms in favor of a personalized experience powered by AI.

Technology is driving the entertainment and media sectors. Technology is driving everything, including streaming media and virtual reality gaming. Examples of this include cutting-edge special effects created for movies that are then used in other industries.

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The Key Takeaway

Given the growing number of players in the OTT market, I believe it is vital that every streamed content be accompanied by complete information. This will allow viewers to choose their favorite content. Streaming content could be categorized with full disclosures to clarify what kind of content is being watched. Creators of original content have an increasing opportunity to use automated technology to showcase their work across different platforms.

You can profit from the streaming trend by meeting users' needs via a secure platform that is OTT-certified. It was specifically designed to meet content needs. You can choose from a variety of video monetization platforms that offer white-label technology and a smooth, fast playback experience.

The entertainment software company and other related sectors are experiencing significant changes. Technology companies in media and entertainment need to understand their clients better in order to remain relevant and competent. They must also create digital experiences that meet their needs. These technological breakthroughs could help them achieve this goal.