The Business Research Company’s report on the Artificial Intelligence (AI) In Media Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
Which emerging drivers are set to accelerate the growth of the artificial intelligence (ai) in media market further?
The rise in the number of social media users is expected to propel the growth of the artificial intelligence (AI) in media market going forward. Social media refers to online platforms that allow users to create, share, and interact with content, and networking purposes. The rise in social media users is due to its ability to connect people across distances, and provide instant access to news and entertainment while also enabling businesses to reach wider audiences. Artificial intelligence (AI) in media enhances social media by personalizing content recommendations, moderating harmful posts, and improving user interactions through chatbots and automation. For instance, in February 2025, according to Sprout Social, a US-based software company, the number of social media users reached 5.42 billion, with each user engaging with an average of 6.83 different social networks monthly. Therefore, the rise in the number of social media users is driving the growth of the artificial intelligence (AI) in the media market.
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What are the key factors influencing the forecasted market size of the artificial intelligence (ai) in media industry?
The artificial intelligence (AI) in media market size has grown exponentially in recent years. It will grow from $10.14 billion in 2024 to $13.72 billion in 2025 at a compound annual growth rate (CAGR) of 35.3%. The growth in the historic period can be attributed to increasing demand for content personalization, a rise in the integration of AI in social media applications, growing demand for personalized content, the rise of social media and video-sharing platforms, and a surge in demand for video content creation.
The artificial intelligence (AI) in media market size is expected to see exponential growth in the next few years. It will grow to $45.60 billion in 2029 at a compound annual growth rate (CAGR) of 35.0%. The growth in the forecast period can be attributed to increasing investment and the demand for immersive technologies, a rise in awareness regarding artificial intelligence (AI), increasing demand for personalized and dynamic video content, growing demand for automation, and growing use of AI in advertising. Major trends in the forecast period include advancements in natural language processing (NLP), innovation and advancements in technology, real-time content adaptation, personalization & recommendation, and expanding applications in e-learning.
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Who are the leading competitors in the artificial intelligence (ai) in media market?
Major companies operating in the artificial intelligence (AI) in media market are Google LLC, Microsoft Corporation, Alibaba Group Holding Limited, Amazon Web Services Inc., Intel Corporation, Accenture plc, International Business Machines Corporation, Oracle Corporation, NVIDIA Corporation, Cognizant Technology Solutions Corporation, Gracenote Inc., Red Bee Media Limited, Vimeo.com Inc., Avid Technology Inc., Appen Limited, Hootsuite Inc., Gravity Media Group Limited, Brightcove Inc., LoopMe Limited, Vizrt Group AS
Which emerging trends are set to transform the artificial intelligence (ai) in media market landscape?
Major companies operating in the artificial intelligence (AI) in media market are focusing on developing technologically innovative solutions, such as AI-powered media scoring tools, to evaluate and optimize the effectiveness of media campaigns. AI-powered media scoring tools are advanced analytics solutions that assess the quality, relevance, and impact of media content using artificial intelligence. For instance, in October 2024, LoopMe, a UK-based media company, launched Brand Outcome Scores (BOS), an AI-powered media scoring tools. These are designed to optimize ad performance by predicting key brand metrics such as awareness, consideration, and purchase intent. This also provides predictive scoring at the bid request and impression levels, enabling advertisers to make data-driven decisions across mobile video, connected TV (CTV), and display ads. Notably, it operates without relying on cookies or user identifiers, ensuring privacy compliance.
How do different geographies compare in terms of market share and growth potential in the artificial intelligence (ai) in media market?
North America was the largest region in the artificial intelligence (AI) in media market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in media market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Which major segments of the artificial intelligence (ai) in media market are experiencing the fastest growth?
The artificial intelligence (AI) in media market covered in this report is segmented –
1) By Solution: Hardware Or Equipment, Services
2) By Software Type: Content Distribution, Workflow Automation, Audience Analysis
3) By Application: Gaming, Fake Story Detection, Plagiarism Detection, Personalization, Production Planning And Management, Sales And Marketing, Talent Identification, Content Capture, Sports Automatic Productions
Subsegments:
1) By Hardware or Equipment: AI-Optimized Processors (GPUs, TPUs, FPGAs), Edge AI Devices, AI-Powered Cameras & Sensors, AI Workstations & Servers
2) By Services: AI Consulting And Integration Services, AI-Powered Content Creation Services, AI-Driven Media Analytics Services, AI-Based Personalization And Recommendation Services
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How is the artificial intelligence (ai) in media market defined, and what are its core characteristics?
Artificial intelligence (AI) in media refers to the application of AI technologies, such as machine learning, natural language processing, and computer vision, to enhance content creation, distribution, and personalization in the media and entertainment industry. It helps media companies streamline workflows, optimize content for different platforms, and improve user engagement through personalized experiences.
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