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As per Intent Market Research, the Artificial Intelligence (AI) Video Market was valued at USD 6.4 billion in 2023 and will surpass USD 16.9 billion by 2030; growing at a CAGR of 14.8% during 2024 - 2030.
The Artificial Intelligence (AI) Video Market is a rapidly evolving sector driven by the increasing demand for enhanced video analytics, content creation, and personalization. As organizations across various industries seek to leverage AI technologies for improving operational efficiencies and customer engagement, the market is projected to witness substantial growth.This growth is fueled by the convergence of advancements in AI algorithms, machine learning, and big data analytics, enabling businesses to extract valuable insights from video content in real-time.
Within the AI video market, the video analytics segment is the largest, driven by the increasing need for actionable insights in various sectors, including retail, transportation, and security. Video analytics employs advanced AI algorithms to analyze video footage, detect patterns, and provide critical insights that can enhance decision-making processes. For instance, retailers are leveraging AI-driven video analytics to monitor customer behavior, optimize store layouts, and manage inventory effectively. The ability to process vast amounts of video data and deliver real-time insights is becoming an indispensable tool for businesses aiming to stay competitive in today's fast-paced environment.
Furthermore, the adoption of AI-powered video analytics solutions is growing in security applications, where organizations utilize surveillance systems to enhance safety and operational efficiency. The ability to automatically detect suspicious activities and alert security personnel in real-time significantly reduces response times and improves overall security measures. As businesses increasingly recognize the potential of video analytics to transform their operations and enhance customer experiences, this segment is poised to maintain its leadership in the AI video market.
The content creation segment within the AI video market is the fastest-growing, propelled by the rising demand for video marketing and personalized content across digital platforms. AI-powered tools are enabling marketers and content creators to produce high-quality videos with minimal effort, automating various aspects of the video production process, including editing, scene selection, and even scriptwriting. The proliferation of social media platforms and the increasing consumer preference for video content are further driving this trend, as businesses seek innovative ways to engage their audiences.
Additionally, the emergence of user-generated content and the rise of platforms such as TikTok and Instagram have heightened the demand for quick, engaging video content. AI tools are now being integrated into these platforms, allowing users to create compelling videos in seconds, leading to a surge in content creation. This growth is expected to continue as businesses increasingly adopt AI technologies to enhance their marketing strategies and capture audience attention in a crowded digital landscape. As a result, the content creation segment is anticipated to experience significant growth in the coming years, contributing substantially to the overall expansion of the AI video market.
In the realm of AI video applications, the video surveillance segment stands out as the largest due to escalating security needs across various sectors. Organizations are increasingly implementing AI-driven surveillance systems to bolster security measures, detect threats, and ensure safety. The integration of AI in video surveillance allows for the automatic recognition of faces, behaviors, and anomalies in real time, significantly improving threat detection capabilities. This technology is being widely adopted in public spaces, transportation hubs, and commercial establishments to mitigate risks and enhance security protocols.
Moreover, advancements in edge computing and cloud technologies are further facilitating the deployment of AI-based video surveillance systems. These systems not only enhance security but also provide valuable data analytics that can inform strategic decisions regarding resource allocation and emergency response. As businesses and governments prioritize safety and security, the video surveillance segment is set to maintain its dominance in the AI video market, driven by continuous technological advancements and growing investments in security infrastructure.
The sports and entertainment segment of the AI video market is the fastest-growing, fueled by the increasing demand for enhanced viewer engagement and experience. AI technologies are transforming how content is created and consumed, offering innovative solutions such as automated highlights, real-time statistics, and personalized viewing experiences. Sports organizations are leveraging AI to analyze player performance, enhance coaching strategies, and deliver captivating content to fans, thereby boosting engagement and loyalty.
Additionally, the rise of streaming platforms and digital media consumption has amplified the need for AI-driven content personalization. Viewers now expect tailored experiences that cater to their preferences, and AI tools are enabling media companies to deliver content that resonates with individual audiences. As this segment continues to evolve, the integration of AI technologies is anticipated to drive significant growth in the sports and entertainment sector, making it a key player in the broader AI video market.
The e-learning segment within the AI video market is experiencing rapid growth, primarily due to the ongoing digital transformation in education. The shift towards online learning platforms has created a significant demand for engaging and interactive video content, which AI technologies can facilitate. AI-driven video tools enable educators to create personalized learning experiences, automate grading, and provide real-time feedback to students, enhancing the overall learning process.
Furthermore, the integration of AI in e-learning platforms allows for the analysis of student performance data, helping educators tailor content to meet individual learning needs. As educational institutions increasingly adopt digital tools and platforms to enhance their teaching methods, the e-learning segment is expected to witness substantial growth in the coming years. This trend will significantly contribute to the overall expansion of the AI video market as educational institutions seek innovative solutions to enhance student engagement and learning outcomes.
In the AI video market, the healthcare segment is the largest, driven by the growing demand for telehealth services and remote patient monitoring. AI technologies are being employed to analyze video consultations, ensuring high-quality interactions between healthcare providers and patients. These solutions facilitate real-time monitoring of patient conditions, enabling timely interventions and improving overall healthcare outcomes.
Moreover, AI-driven video analytics are also being utilized in surgical procedures and patient management, providing surgeons with critical insights during operations and enhancing post-operative care. The ongoing digital transformation in healthcare, combined with the need for efficient and effective patient monitoring solutions, positions the healthcare segment as a dominant force in the AI video market. As healthcare organizations continue to adopt innovative technologies, this segment is expected to maintain its leadership role, contributing significantly to market growth.
North America is the largest region in the AI video market, driven by significant technological advancements and a robust digital infrastructure. The region is home to leading technology companies that are continuously innovating and developing AI solutions for video applications. The high adoption of AI technologies across various industries, including retail, healthcare, and entertainment, is further propelling the growth of the AI video market in North America.
Additionally, the presence of major players in the region, coupled with substantial investments in research and development, enhances the competitive landscape. Organizations in North America are increasingly integrating AI video solutions to improve operational efficiencies, enhance customer experiences, and drive business growth. As a result, North America is expected to maintain its dominance in the AI video market, setting trends that influence global developments in the industry.
The competitive landscape of the AI video market is characterized by the presence of several leading companies that are continuously innovating and expanding their product offerings. Key players in the market include NVIDIA Corporation, IBM Corporation, Microsoft Corporation, Google LLC, and Amazon Web Services, among others. These companies are leveraging advanced AI algorithms and machine learning technologies to enhance video analytics, content creation, and personalized viewing experiences.
Additionally, the market is witnessing the emergence of startups and smaller companies that are focusing on niche applications and innovative solutions within the AI video sector. Collaborations, partnerships, and acquisitions are common strategies employed by these companies to strengthen their market position and expand their customer base. As the demand for AI video solutions continues to grow, the competitive landscape is expected to evolve, with companies striving to differentiate themselves through advanced technologies and superior customer experiences.
The report will help you answer some of the most critical questions in the Artificial Intelligence (AI) Video Market. A few of them are as follows:
Report Features |
Description |
Market Size (2023) |
USD 6.4 billion |
Forecasted Value (2030) |
USD 16.9 billion |
CAGR (2024 – 2030) |
14.8% |
Base Year for Estimation |
2023 |
Historic Year |
2022 |
Forecast Period |
2024 – 2030 |
Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered |
Artificial Intelligence (AI) Video Market By Component (Hardware, Software & Services), By Deployment Mode (On-premise, Cloud), By Application (Surveillance & Security, Media & Entertainment, Marketing & Advertising, Healthcare, Retail, Automotive, Sports & Events) |
Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa) |
Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
1. Introduction |
1.1. Market Definition |
1.2. Scope of the Study |
1.3. Research Assumptions |
1.4. Study Limitations |
2. Research Methodology |
2.1. Research Approach |
2.1.1. Top-Down Method |
2.1.2. Bottom-Up Method |
2.1.3. Factor Impact Analysis |
2.2. Insights & Data Collection Process |
2.2.1. Secondary Research |
2.2.2. Primary Research |
2.3. Data Mining Process |
2.3.1. Data Analysis |
2.3.2. Data Validation and Revalidation |
2.3.3. Data Triangulation |
3. Executive Summary |
3.1. Major Markets & Segments |
3.2. Highest Growing Regions and Respective Countries |
3.3. Impact of Growth Drivers & Inhibitors |
3.4. Regulatory Overview by Country |
4. Artificial Intelligence (AI) Video Market, by Component (Market Size & Forecast: USD Million, 2022 – 2030) |
4.1. Hardware |
4.1.1. AI Chips |
4.1.2. Servers |
4.1.3. Storage Devices |
4.1.4. Others |
4.2. Software & Services |
4.2.1. Video Processing Software |
4.2.2. Video Analytics Software |
4.2.3. Video Management Systems |
4.2.4. Others |
5. Artificial Intelligence (AI) Video Market, by Deployment Mode (Market Size & Forecast: USD Million, 2022 – 2030) |
5.1. On-premise |
5.2. Cloud |
6. Artificial Intelligence (AI) Video Market, by Application (Market Size & Forecast: USD Million, 2022 – 2030) |
6.1. Surveillance & Security |
6.1.1. Facial Recognition |
6.1.2. Object Detection |
6.1.3. Motion Tracking |
6.1.4. Others |
6.2. Media & Entertainment |
6.2.1. AI Video Generator |
6.2.2. Automated Video Editing |
6.2.3. Content Recommendation Systems |
6.3. Marketing & Advertising |
6.4. Healthcare |
6.5. Retail |
6.6. Automotive |
6.7. Sports & Events |
6.8. Others |
7. Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030) |
7.1. Regional Overview |
7.2. North America |
7.2.1. Regional Trends & Growth Drivers |
7.2.2. Barriers & Challenges |
7.2.3. Opportunities |
7.2.4. Factor Impact Analysis |
7.2.5. Technology Trends |
7.2.6. North America Artificial Intelligence (AI) Video Market, by Component |
7.2.7. North America Artificial Intelligence (AI) Video Market, by Deployment Mode |
7.2.8. North America Artificial Intelligence (AI) Video Market, by Application |
7.2.9. By Country |
7.2.9.1. US |
7.2.9.1.1. US Artificial Intelligence (AI) Video Market, by Component |
7.2.9.1.2. US Artificial Intelligence (AI) Video Market, by Deployment Mode |
7.2.9.1.3. US Artificial Intelligence (AI) Video Market, by Application |
7.2.9.2. Canada |
7.2.9.3. Mexico |
*Similar segmentation will be provided for each region and country |
7.3. Europe |
7.4. Asia-Pacific |
7.5. Latin America |
7.6. Middle East & Africa |
8. Competitive Landscape |
8.1. Overview of the Key Players |
8.2. Competitive Ecosystem |
8.2.1. Level of Fragmentation |
8.2.2. Market Consolidation |
8.2.3. Product Innovation |
8.3. Company Share Analysis |
8.4. Company Benchmarking Matrix |
8.4.1. Strategic Overview |
8.4.2. Product Innovations |
8.5. Start-up Ecosystem |
8.6. Strategic Competitive Insights/ Customer Imperatives |
8.7. ESG Matrix/ Sustainability Matrix |
8.8. Manufacturing Network |
8.8.1. Locations |
8.8.2. Supply Chain and Logistics |
8.8.3. Product Flexibility/Customization |
8.8.4. Digital Transformation and Connectivity |
8.8.5. Environmental and Regulatory Compliance |
8.9. Technology Readiness Level Matrix |
8.10. Technology Maturity Curve |
8.11. Buying Criteria |
9. Company Profiles |
9.1. Adobe |
9.1.1. Company Overview |
9.1.2. Company Financials |
9.1.3. Product/Service Portfolio |
9.1.4. Recent Developments |
9.1.5. IMR Analysis |
*Similar information will be provided for other companies |
9.2. Alphabet |
9.3. Amazon |
9.4. Cognex |
9.5. Huawei |
9.6. IBM |
9.7. Intel |
9.8. Microsoft |
9.9. NVIDIA |
9.10. Veritone |
10. Appendix |
A comprehensive market research approach was employed to gather and analyze data on the Artificial Intelligence (AI) Video Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Artificial Intelligence (AI) Video Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the Artificial Intelligence (AI) Video ecosystem. The primary research objectives included:
A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Artificial Intelligence (AI) Video Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:
To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.