Artificial Intelligence (AI)-Powered Social Media Crisis Detection Market Report 2025

The artificial intelligence (AI)-powered social media crisis detection market size has grown exponentially in recent years. It will grow from $1.75 billion in 2024 to $2.24 billion in 2025 at a compound annual growth rate (CAGR) of 28.3%. The growth during the historic period can be attributed to the rise in social media usage, the spread of misinformation and fake news, heightened concerns over brand reputation, increased demand for real-time monitoring, the implementation of government regulations on online content, and a significant boost in digital marketing efforts.

The artificial intelligence (AI)-powered social media crisis detection market size is expected to see exponential growth in the next few years. It will grow to $6.02 billion in 2029 at a compound annual growth rate (CAGR) of 28%. The anticipated growth in the forecast period is driven by the increasing occurrence of social media crises, a rising demand for real-time sentiment analysis, the continued expansion of digital and social media platforms, a growing need for automated reputation management, and a stronger focus on proactive crisis response strategies. Key trends expected during this time include the integration of deep learning models, advancements in natural language processing, real-time analysis of sentiment and emotion, wider adoption of cloud-based AI platforms, the use of social network graph analysis, and the development of more advanced AI-driven content moderation tools.

The increasing engagement on social media is anticipated to drive the growth of the artificial intelligence (AI)-powered social media crisis detection market. Social media platforms allow users to create, share, and interact with content while connecting with others in real time. This rising engagement is largely attributed to the widespread use of smartphones and mobile internet, which enable users to access social platforms anytime and anywhere. As engagement grows, it generates vast volumes of real-time user interactions, which enhances AI-powered crisis detection by making it easier to identify emerging reputational risks. These AI systems help reduce the need for manual monitoring by automatically analyzing conversations, identifying negative trends, and offering actionable insights for proactive crisis management. For example, in February 2024, Meta Platforms Inc. reported that Facebook’s average daily active users (DAUs) reached 2.11 billion in December 2023, reflecting a 6% increase from the previous year. This surge in engagement is contributing to the expansion of the AI-powered social media crisis detection market.

Companies operating in the AI-powered social media market are increasingly focusing on developing advanced tools such as AI-powered insight generation software to improve efficiency, support strategic decision-making, and minimize manual analysis. These tools use natural language processing to automatically analyze large amounts of unstructured data from social media, instantly surfacing key trends, sentiments, and actionable intelligence. For instance, in June 2023, Ukraine-based social media company YouScan introduced Insights Copilot, an AI-driven feature powered by ChatGPT. This tool acts as an automated assistant, offering concise summaries and detailed analyses of social media data. It delivers ready-to-use insights, highlights trends, and provides illustrative post examples, enabling marketers and analysts to better understand public sentiment without extensive manual investigation. Features include built-in analytical shortcuts, custom question capability, fast response generation, deeper result exploration, influencer opinion summaries, identification of customer pain points, and the detection of emerging trends across various languages.

In April 2024, Hootsuite Inc., a social media management company based in Canada, acquired Talkwalker Inc. to strengthen its AI-driven social media capabilities. Through this acquisition, Hootsuite plans to integrate Talkwalker’s AI-powered social listening and analytics tools into its platform, enhancing its ability to monitor conversations, gain insights, and assess business impact. Talkwalker Inc., based in Luxembourg, is a consumer intelligence company that uses AI to monitor social media and identify potential crises and reputational risks in real time.

Major players in the artificial intelligence (ai)-powered social media crisis detection market are Sprinklr Inc., Meltwater Group, Sprout Social Inc., Onclusive Inc., Dataminr Inc., Emplifi Inc., Signal AI Limited, Critical Mention Inc., Synthesio, YouScan Inc., IndaHash S.A., Juvare LLC, Awario Inc., Zignal Labs Inc., Brand24 Sp. z o.o., BuzzSumo Ltd., Truescope Inc., BrandMentions Inc., Samdesk Inc., Determ d.o.

North America was the largest region in the artificial intelligence (AI)-powered social media crisis detection market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-powered social media crisis detection report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (AI)-powered social media crisis detection market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

AI-powered social media crisis detection involves the use of artificial intelligence technologies to monitor, identify, and forecast potential crises, harmful trends, or reputational risks on social media platforms. This approach utilizes machine learning, natural language processing, sentiment analysis, and pattern recognition to spot early indicators of trouble, allowing organizations to take proactive measures and protect their reputation and public trust.

The key components of AI-powered social media crisis detection include software and services. The software consists of programs and applications designed to carry out specific tasks and functions on digital devices. It can be implemented via cloud-based or on-premises deployment models and is suitable for organizations of all sizes, from small and medium-sized businesses to large enterprises. This technology is applied in areas such as brand monitoring, incident response, sentiment evaluation, and risk analysis. It serves a range of industries, including corporate enterprises, government bodies, media and entertainment, banking, financial services and insurance (BFSI), retail, and others.

The artificial intelligence (AI)-powered social media crisis detection market research report is one of a series of new reports that provides artificial intelligence (AI)-powered social media crisis detection market statistics, including the artificial intelligence (AI)-powered social media crisis detection industry global market size, regional shares, competitors with the artificial intelligence (AI)-powered social media crisis detection market share, detailed artificial intelligence (AI)-powered social media crisis detection market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-powered social media crisis detection industry. This artificial intelligence (AI)-powered social media crisis detection market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial intelligence (AI)-powered social media crisis detection market includes revenues earned by entities through real-time monitoring and analysis, image and video content analysis, trend and hashtag forecasting services, and reputation management and advisory services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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