In 2021, the market for artificial intelligence (AI) in marketing was estimated at ***** billion U.S. dollars. The source projected that the value would increase to more than ***** billion by 2028. What is AI and who uses it? Artificial intelligence (AI) has become one of the most impactful digital innovations of the past few decades. The term refers to the ability of a computer or machine to mimic the competencies of the human mind, with the current ecosystem consisting of machine learning, robotics, artificial neural networks, and natural language processing. All of these features and algorithms are highly versatile and adaptable to the specific requirements of the user, explaining why they have become embedded into many different industries, ranging from telecommunications and financial services to healthcare and pharma. Overall, the global artificial intelligence market was valued at around *** billion U.S. dollars in 2021. AI at the marketing wheel AI is deeply embedded into the digital marketing landscape, and based on the latest reports, more than ** percent of industry experts integrate some form of AI technology into their online marketing activities. This vast adaptation of artificial intelligence for marketing purposes is no surprise considering that its benefits include task automation, campaign personalization, and data analysis, to name but a few. When asked about marketers' main application areas of AI in a recent survey, roughly ** percent of respondents from the U.S., Canada, the UK, and India mentioned ad targeting. Other popular activities they trusted AI with included personalizing content, optimizing e-mail send times, and calculating conversion probability.

According to a 2022 study conducted with marketers worldwide, ** percent of respondents reported using artificial intelligence as a part of their digital marketing strategy. Two years earlier, in 2020, the reported usage rate stood at ** percent which was a big growth from the ** percent rate in 2018.

A global survey in 2022 found out that ** percent of marketing professionals across 35 countries were using artificial intelligence (AI) tools in order to automate customer interactions, compared to ** percent in 2021. Another ** percent of marketers working with AI shared that it helped them personalize the customer journey across channels - a share that remained the same as the year before.

The AI In Social Media Market report segments the industry into Technology (Machine Learning and Deep Learning, Natural Language Processing (NLP)), Application (Customer Experience Management, and more), Service (Managed Service, Professional Service), Organization Size (Small and Medium Enterprises, Large Enterprises), End-User Industry (Retail, and more), and Geography (North America, and more).

The AI in Accounting Market Report is Segmented by Component (Software and Services), Deployment (On-Premises and Cloud), Organization Size (Small To Medium-Sized Enterprises (SMEs) and Large Enterprises), and Geography (North America, Europe, Asia-Pacific, and Rest of the World). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

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Artificial Intelligence (AI) In Games Market Size 2025-2029

The artificial intelligence (ai) in games market size is forecast to increase by USD 27.47 billion, at a CAGR of 42.3% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of Augmented Reality (AR) and Virtual Reality (VR) games. These immersive technologies are revolutionizing the gaming industry by providing more realistic and interactive experiences, thereby fueling the demand for advanced AI capabilities. AI algorithms enable more intelligent and responsive non-player characters, dynamic game environments, and personalized user experiences. However, the market faces challenges, primarily due to the latency issues in between games. As AI-driven games become more complex and data-intensive, ensuring seamless and low-latency interactions between players and the game environment becomes crucial. Addressing these latency issues will require continuous advancements in AI technologies, network infrastructure, and cloud gaming solutions.
Companies seeking to capitalize on the market opportunities must focus on developing AI solutions that deliver high-performance, low-latency experiences while ensuring data security and privacy. Effective collaboration between game developers, technology providers, and network infrastructure companies will be essential to address these challenges and drive the growth of the AI in Games market.

What will be the Size of the Artificial Intelligence (AI) In Games Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, integrating advanced technologies such as e-sports integration, player behavior analysis, game analytics, game engine optimization, computer vision, UI, QA, game balance, game AI, character AI, social features, gameplay mechanics, cloud gaming, game physics engines, in-app purchases, game localization, multiplayer networking, performance benchmarking, streaming integration, pathfinding algorithms, procedural generation, UX, subscription models, competitive gaming, machine learning models, neural networks, advertising integration, and audio design. These technologies are not static entities but rather dynamic components that unfold and intertwine, shaping the market's intricate landscape. E-sports integration and player behavior analysis enable game developers to create more engaging experiences, while game analytics offers valuable insights into player preferences and trends.

Game engine optimization and computer vision enhance game performance and visual quality, respectively. UI and QA ensure seamless user experiences and bug-free gameplay, respectively. Game balance and character AI add depth and complexity to game mechanics. Machine learning models and neural networks facilitate intelligent decision-making, while social features and gameplay mechanics foster community engagement. Cloud gaming and streaming integration expand accessibility, and game physics engines and in-app purchases generate revenue. Game localization and multiplayer networking cater to diverse player bases, and performance benchmarking ensures optimal game performance. The ongoing interplay of these technologies shapes the market's dynamics, with new applications and innovations continually emerging.

How is this Artificial Intelligence (AI) In Games Industry segmented?

The artificial intelligence (ai) in games industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  AI enabled platforms
  AI enabled games


Technology

  Machine learning
  Natural language processing
  Computer vision
  Robotics


Game

  Action
  Adventure
  Casual
  Racing
  Simulation
  Sports
  Strategy


Application

  Gameplay Optimization
  Character Behavior Generation
  Level Design
  Player Engagement


End-User

  Developers
  Publishers
  Players


Platform Type

  Console
  PC
  Mobile
  Cloud


Geography

  North America

    US
    Mexico


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    Australia
    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The ai enabled platforms segment is estimated to witness significant growth during the forecast period.

In the dynamic gaming industry, Artificial Intelligence (AI) is revolutionizing game development and player experience. AI technologies, including deep learning, reinforcement learning, and machine learning models, are integrated into various aspects of game creation. These tools enhance

Global AI In Real Estate market size is expected to reach $988.59 billion by 2029 at 34.4%, iot surge fuels the expansion of ai in real estate

Generative AI is already employed at Amazon. In 2024, a bit more than one-third of Amazon’s sellers and brands created and optimized product listings with AI tools. Another 14 percent of them shifted from manual to AI-based production of marketing and social media content.

A work-in-progress situation

AI use at Amazon aligns with the general trend observed in the United States. In 2023, only one-third of B2C e-commerce companies fully implemented AI in their operations, while nearly half of them are still in the experimental phase. In comparison, B2B organizations were lagging, as the full implementation rate stood at 25 percent.

What holds companies back?

Implementing AI-based solutions is easier said than done, as companies face numerous challenges ranging from data security to significant business costs – the main factors retail CEOs mentioned in a survey from 2023. In the same survey, over four in ten managers and employees believed AI innovations were hindered by a lack of understanding and expertise in AI use.

Global AI in Fashion market size is expected to reach $6.99 billion by 2029 at 41%, segmented as by category, apparels, accessories, footwear, beauty and cosmetics, jewelry

According to the survey conducted in the United States in June 2023, ** percent of small businesses (SMBs) owners and marketing decision-makers did not use artificial intelligence and/or automation, but would like to start adopting the technology. Around *********** of SMBs reported they already use AI.

According to a survey conducted in 2022 worldwide among marketing leaders, ** percent of respondents stated that the most popular reason for using artificial intelligence (AI) to improve customer experience is to predict customer behavior and needs. Another ** percent of them said that they use AI in their marketing company in order to uncover frequent customer journeys. In comparison, only ** percent of marketing leaders shared that they use AI to improve MQLs (e.g. chatbots).

The global number of AI tools users in the 'AI Tool Users' segment of the artificial intelligence market was forecast to continuously increase between 2025 and 2031 by in total ***** million (+****** percent). After the tenth consecutive increasing year, the number of AI tools users is estimated to reach *** billion and therefore a new peak in 2031. Notably, the number of AI tools users of the 'AI Tool Users' segment of the artificial intelligence market was continuously increasing over the past years.Find more key insights for the number of AI tools users in countries and regions like the market size in the 'Generative AI' segment of the artificial intelligence market in Australia and the market size change in the 'Generative AI' segment of the artificial intelligence market in Europe.The Statista Market Insights cover a broad range of additional markets.

The market for artificial intelligence grew beyond *** billion U.S. dollars in 2025, a considerable jump of nearly ** billion compared to 2023. This staggering growth is expected to continue, with the market racing past the trillion U.S. dollar mark in 2031. AI demands data Data management remains the most difficult task of AI-related infrastructure. This challenge takes many forms for AI companies. Some require more specific data, while others have difficulty maintaining and organizing the data their enterprise already possesses. Large international bodies like the EU, the US, and China all have limitations on how much data can be stored outside their borders. Together, these bodies pose significant challenges to data-hungry AI companies. AI could boost productivity growth Both in productivity and labor changes, the U.S. is likely to be heavily impacted by the adoption of AI. This impact need not be purely negative. Labor rotation, if handled correctly, can swiftly move workers to more productive and value-added industries rather than simple manual labor ones. In turn, these industry shifts will lead to a more productive economy. Indeed, AI could boost U.S. labor productivity growth over a 10-year period. This, of course, depends on various factors, such as how powerful the next generation of AI is, the difficulty of tasks it will be able to perform, and the number of workers displaced.

During an August to October 2024 survey, around **** of responding global fashion industry professional stated that they used generative artificial intelligence (AI) for the discovery of new products and customer searches, in particular. Another ** percent of the same professionals used this technology for marketing purposes.

A worldwide survey carried out in 2024 showed that Boomers are the most concerned about the use of personal data when shopping online. 60 percent of them avoided sharing personal details because they did not trust data privacy with AI technologies.

According to a study conducted in late 2024, consumer goods and retail executives said they were planning to increase their AI budget in 2025. Spending outside of the IT department would add up to 2.28 percent of the annual revenue and was expected to increase by 52 percent compared to the previous year.

The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.

What is Big data?

Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.

Big data analytics

Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

Retailers using artificial intelligence (AI) and machine learning (ML) technologies performed better than their competitors. Both in 2023 and 2024, retail companies using this kind of technologies saw a ********* growth of their sales compared to the respective previous years. Similarly, their annual profit grew by roughly ***** percent, outperforming retailers who did not use AI or ML solutions.

During a 2024 survey among marketers worldwide, approximately 83 percent selected increased exposure as a benefit of social media marketing. Increased traffic followed, mentioned by 73 percent of the respondents, while 65 percent cited generated leads. The multibillion-dollar social media ad industry Between 2019 – the last year before the pandemic – and 2024, global social media advertising spending skyrocketed by 140 percent, surpassing an estimated 230 billion U.S. dollars in the latter year. That figure was forecast to increase by nearly 50 percent by the end of the decade, exceeding 345 billion dollars in 2029. As of 2024, the social media networks with the most monthly active users were Facebook, with over three billion, and YouTube, with more than 2.5 billion. Pros and cons of GenAI for social media marketing According to another 2024 survey, generative artificial intelligence's (GenAI) leading benefits for social media marketing according to professionals worldwide included increased efficiency and easier idea generation. The third place was a tie between increased content production and enhanced creativity. All those advantages were cited by between 33 and 38 percent of the interviewees. As for GenAI's top challenges for global social media marketing, maintaining authenticity and the value of human creativity ranked first, mentioned by 43 and 40 percent of the respondents, respectively. Another 35 percent deemed ensuring the content resonates as an obstacle.

Data analytics maintained its position as the leading AI application among financial services firms in 2024. A 2024 industry survey indicated that ** percent of companies leveraged AI for data analytics, showing modest growth from the previous year. Generative AI experienced the strongest year-over-year adoption increase, becoming the second most widely used AI technology, with more than half of firms either implementing or evaluating the technology. Reflecting this growing embrace of AI solutions, the financial sector's investment in AI technologies continues to surge, with spending projected to reach over ** billion U.S. dollars in 2025 and more than double to *** billion U.S. dollars by 2028. The main benefits of AI in the financial services sector Financial services firms reported that AI delivered the greatest value through operational efficiencies, according to a 2024 industry survey. The technology also provided significant competitive advantages, cited by ** percent of respondents as a key benefit. Enhanced customer experience emerged as the third most important advantage of AI adoption in the sector. Adoption across business segments The integration of AI varies across different areas of financial services. In 2023, operations lead the way with a ** percent adoption rate, closely followed by risk and compliance at ** percent. In customer experience and marketing, voice assistants, chatbots, and conversational AI are the most common AI applications. Meanwhile, financial reporting and accounting dominate AI use in operations and finance.