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Video Content Analytics Market Analysis

ID: MRFR//0441-CR | 100 Pages | Author: Ankit Gupta| February 2020

Video Content Analytics Market Deep Dive – PESTLE, Porter, SWOT

The Video Content Analytics market is undergoing a transformational phase, with the proliferation of content across multiple platforms and the growing need to gain actionable insights from this data. Increasingly, the need to optimize content strategies and enhance viewer engagement is driving the demand for sophisticated analytics tools to monitor the performance of content, audience behavior, and the effectiveness of the content. The market for Video Content Analytics covers a wide range of solutions and services, including real-time analytics, advanced visualization tools, and machine learning algorithms. Artificial intelligence and big data are reshaping the way companies approach their content strategies, enabling them to make data-driven decisions that enhance the customer experience and drive revenue. The market is also evolving rapidly, and the players must navigate the complexities of data privacy, monetization, and the changing preferences of their audiences to stay ahead in this highly competitive market.

PESTLE Analysis

  • Political:
    The political environment of 2023 is dominated by the government's regulations on data privacy and security. The European Union's General Data Protection Regulation (GDPR) imposes a fine of up to 20 million euros or 4 percent of turnover for non-compliance. This has led to a great deal of investment in compliance measures. Moreover, the US Federal Trade Commission has proposed new regulations that could affect the collection and use of customer data by video analytic companies, with fines of up to 5 million dollars for non-compliance.
  • Economic:
    The economic environment for the video content analysis is characterized by increasing investment in digital advertising, which is expected to reach $500 billion in 2023. This influx of money into digital advertising is driving the demand for tools that can track viewer engagement and content performance. In addition, the unemployment rate in the technology industry has stabilized at about 3.5%, indicating a booming job market that is conducive to innovation and development of new tools for content analysis.
  • Social:
    In 2023, the social trends show a growing demand for a personal content. Seventy percent of the consumers prefer a personal content. This trend is driving the companies to make use of the video content analytics to better understand the preferences and the behavior of the consumers. Furthermore, the social media have become the main distribution channels for the content, which leads to an increase of the use of the video content analytics by the marketeers to optimize their strategies.
  • Technological:
    A. Recent developments in the field of artificial intelligence and machine learning have revolutionized the market for the analysis of visual content. In 2023, approximately 60% of the video analysis solutions will include machine learning features that enable real-time data processing and the generation of insights. B. With an estimated total investment of more than $500 billion in AI and related technologies by 2022, the capabilities of the analysis tools will increase even further.
  • Legal:
    Legal considerations in the market for video content analysis are increasingly focused on issues of intellectual property rights and copyright. In 2023, the U.S. government is expected to pass a law allowing the use of this type of analysis to protect copyright. The U.S. Copyright Office has reported a 25 per cent increase in the number of copyright infringement cases involving video content, and companies are seeking more effective legal frameworks to protect their content. Moreover, the implementation of stricter data protection laws in many countries is putting pressure on the companies offering this type of analysis to ensure compliance with local regulations, which could involve costs of up to $1 million for compliance audits.
  • Environmental:
    The environment is becoming a focus of attention as companies seek to reduce their carbon footprint. The average data centre will consume 100 megawatts of electricity by 2023, a considerable amount of energy. In response, many data centres are investing in green technology, with around a third of companies in the sector already committing to using green energy to power their operations. Not only is this a response to the environment, it also reflects the expectations of consumers when it comes to sustainable business practices.

Porters Five Forces

  • Threat of New Entrants:
    The barriers to entry into the Video Content Analytics market are moderate due to the need for advanced technology and data analysis skills. There are opportunities for new players, but there are also strong competitors with strong brand awareness and customer loyalty. Also, the high investment required for development and marketing could deter new entrants.
  • Bargaining Power of Suppliers:
    The bargaining power of suppliers in the Video Content Analytics market is low. The market is characterised by a large number of technology and software companies, which means that companies can easily switch suppliers if necessary. In addition, the availability of open-source tools and platforms reduces the dependence of companies on suppliers, which makes it easier for them to negotiate.
  • Bargaining Power of Buyers:
    High – The buyer’s power in the Video Content Analytics market is strong due to the growing number of solutions and the low switching costs. Customers can take advantage of the competition between vendors to negotiate better prices and service. The growing importance of data-driven decision-making also gives customers the power to demand more tailored and effective solutions.
  • Threat of Substitutes:
    The threat of substitutes in the market for the digitisation of the film industry is moderate. There are some other ways to analyse film material, such as manual coding and basic analysis tools, but they often lack the depth and efficiency of a specialised analytic solution. However, the development of artificial intelligence and machine learning could lead to the development of new substitute products that might challenge existing offerings in the future.
  • Competitive Rivalry:
    The level of competition in the market for content analysis of video data is high, driven by the presence of many established and new players competing for market share. In the process of attempting to differentiate their products, companies are constantly innovating and improving their offerings, which leads to aggressive marketing and price wars. And with the rapid pace of technological change, the competition intensifies as the companies race to deliver the most advanced solutions.

SWOT Analysis

  • Strengths:
    • Growing demand for video content across various platforms.
    • Advanced technologies enabling real-time analytics and insights.
    • Ability to enhance user engagement and content personalization.
  • Weaknesses:
    • High initial investment costs for advanced analytics tools.
    • Complexity in integrating analytics with existing video platforms.
    • Dependence on data privacy regulations which may limit data usage.
  • Opportunities:
    • Expansion of OTT platforms and streaming services increasing analytics needs.
    • Rising interest in AI and machine learning for predictive analytics.
    • Potential for partnerships with content creators and marketers for enhanced insights.
  • Threats:
    • Intense competition from established analytics firms and new entrants.
    • Rapid technological changes requiring constant adaptation.
    • Potential regulatory changes impacting data collection and usage.

In 2023, the global market for video content analysis is characterized by a strong demand, a proliferation of video content and the development of advanced analysis technology. But high costs and regulatory uncertainties are also considerable barriers. Opportunities arise from the growing OTT market and the development of artificial intelligence, but competition and the fast technological development are a constant threat. The companies have to take advantage of their strengths and seize the opportunities to be able to successfully operate in this dynamic market.

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