The AI-Powered Social Media Crisis Detection Market size was valued at USD 1.62 billion in 2024 and is expected to reach USD 8.39 billion by 2032, expanding at a CAGR of 22.82% over the forecast period of 2025-2032.
The AI-Powered Social Media Crisis Detection Market is related to the increased concentration of companies on real-time risk monitoring and brand protection. Using machine learning, natural language processing, and predictive analytics, such tools can help root out reputational threats and misinformation, and customer dissent on major platforms. Companies in sectors as diverse as media, government, and enterprise marketing are using AI systems to monitor whether an organization is experiencing a shift in sentiment and then act fast to cooperate or to defuse potential crises. The market is categorized based on the component, deployment mode, application, end user, and organization size. North America is the pacesetter in adoption, while Asia Pacific is expected to be the fastest-growing region due to digital uptake.
According to research, as of 2024, over 5.07 billion people globally use social media, driving demand for AI crisis detection tools. With 77% of enterprises increasing AI spending for risk management and 67% shifting critical workloads to the cloud, cloud-based deployments are surging.
The U.S AI-Powered Social Media Crisis Detection Market size reached USD 0.51 billion in 2024 and is expected to reach USD 2.45 billion in 2032 at a CAGR of 21.66% from 2025 to 2032.
The U.S. dominates the AI-Powered Social Media Crisis Detection Market due to leading technology firms and startups in the U.S. are pouring funds into AI-powered sentiment analysis, incident detection, and real-time monitoring tools. The key drivers are increasing worries about misinformation, increasing growth in demand for brand reputation management, and increasing demand for proactive crisis communication strategies. Moreover, the increasing prevalence of cyber threats and mounting regulatory pressures are key drivers fueling demand for intelligent monitoring solutions, positioning the United States as a leading innovator and major force in market adoption.
Drivers:
Rising Adoption of AI-Based Risk Management Tools Across Enterprises and Government Agencies Drives Market Growth.
The increasing need to monitor online reputational threats, detect early signs of crises, and manage digital backlash in real-time is driving the adoption of AI-based social media crisis detection tools. Enterprises and public organizations are deploying advanced AI algorithms to detect sentiment anomalies, misinformation, and viral content trends. A notable trend is the integration of real-time dashboards and AI-powered alerts into enterprise communication systems, enabling faster incident response. Recent developments include the rise of predictive analytics for crisis forecasting and the growing use of multilingual NLP to address global sentiment tracking.
Restraints:
High Implementation Costs and Data Privacy Concerns Hinder Broader Adoption Across Cost-Sensitive Organizations.
Despite the benefits of AI-powered crisis detection, high implementation costs, complex system integration, and growing concerns over data privacy restrict widespread adoption, particularly among small and medium enterprises. The need for skilled personnel to configure and manage AI models, coupled with evolving global data protection regulations such as GDPR and CCPA, poses compliance challenges. These factors limit access to sophisticated AI-driven platforms for organizations with constrained budgets and raise hesitations around handling sensitive or personally identifiable information across public digital platforms.
Opportunities:
Emergence of Customizable and Industry-Specific AI Models Creates New Opportunities for Targeted Deployment.
The growing availability of customizable AI solutions tailored for specific industries such as finance, healthcare, and retail presents a major opportunity. Organizations are increasingly seeking AI models that align with sector-specific lexicons, regulatory needs, and public engagement patterns. Recent developments show companies offering modular AI tools with customizable risk parameters and localization capabilities. This trend is enabling faster deployment, improved accuracy, and better user acceptance across sectors, particularly where speed of detection and response is mission-critical, such as in pharmaceuticals, banking, and crisis communications.
Challenges:
Shortage of Domain-Specific AI Talent and Increasing Complexity of Real-Time Sentiment Interpretation Present Major Challenges.
The deployment of AI-powered social media crisis tools faces challenges due to the lack of domain-specific AI professionals capable of training, fine-tuning, and maintaining contextual AI models. Understanding nuanced sentiment, sarcasm, and cultural context across multiple languages and platforms remains a technically complex task. While models have improved, limitations in handling ambiguity, slang, or coordinated disinformation campaigns persist. Additionally, as AI adoption expands, interpreting and acting on dynamic, real-time data without generating false positives requires significant operational oversight.
By Component
The software segment accounted for the largest share of the market in 2024, contributing approximately 67.27% of the total revenue. This dominance stems from the rising deployment of AI-driven platforms for real-time alerting, sentiment analysis, and automated incident tracking. Major players like Meltwater and Sprinklr have launched advanced modules such as SentimentAI and AI-driven crisis dashboards to enhance detection capabilities. These tools offer scalability and integration with enterprise systems, driving their adoption among media, retail, and financial organizations.
The services segment, growing at the fastest CAGR of 23.64% over the forecast period, plays a crucial role in enabling tailored deployments, system integration, and consulting. Companies like Signal AI and Accenture are expanding their service offerings to include real-time risk modeling, AI tuning, and multilingual support. As businesses increasingly rely on expert support to deploy complex AI monitoring tools, the services segment is witnessing rapid growth, acting as a key enabler in extending the market’s reach across varied verticals.
By Deployment Mode
In 2024, the cloud segment emerged as the market leader by deployment mode, capturing around 71.28% of the total revenue. This growth is attributed to the scalability, cost-effectiveness, and remote accessibility offered by cloud-based platforms. Providers such as Sprout Social and Brandwatch have launched cloud-native tools equipped with real-time sentiment dashboards and automatic incident flagging capabilities. Cloud enables fast deployment, seamless data integration, and real-time updates, making it ideal for agile crisis detection across industries.
The on-premises segment is expected to grow at the fastest CAGR of 23.76% during the forecast period. This growth is primarily driven by data-sensitive industries such as defense, banking, and government, where regulatory mandates and security concerns necessitate local data processing. The need for greater data sovereignty and control, coupled with growing cybersecurity concerns, is pushing organizations to invest in on-premises AI-powered crisis detection solutions.
By Application
In terms of application, incident management held the largest revenue share in 2024, contributing approximately 30.27% to the overall market. This is due to the increasing importance of early warning systems for brand protection and regulatory compliance. With rising online backlash, customer complaints, and disinformation risks, organizations are adopting incident management AI tools to minimize reputational damage and manage crises with agility.
Risk assessment is projected to expand at the fastest CAGR of 24.28% during the forecast period. This rapid growth is driven by organizations seeking proactive insights into potential reputational and operational threats. Tools like Digimind’s RiskAdvisor and NetBase Quid’s predictive analytics modules allow users to detect early signals from social media chatter and track escalating issues before they become crises.
By End-User
The enterprise segment accounted for the largest revenue share of approximately 40.27% in 2024. Large-scale organizations in consumer goods, media, and finance sectors rely on AI-powered social media monitoring platforms to safeguard brand equity and mitigate PR risks. These organizations value real-time visibility, cross-functional alerts, and AI-driven insights that help navigate volatile digital environments, driving strong adoption in this segment.
The government segment is poised to grow at the fastest CAGR of 23.98% during the forecast period. Governments across regions are deploying AI systems to monitor public sentiment, detect fake news, and manage emergency communications during events like natural disasters or political unrest. Mention’s AI-powered public sector suite and Signal AI’s expansion into municipal safety tools illustrate growing traction.
By Organization Size
In 2024, large enterprises led the market with a dominant revenue share of around 60.37%, owing to their ability to invest in enterprise-grade AI platforms and maintain large-scale monitoring operations. Providers such as Sprinklr and Brandwatch cater to this segment with advanced features like customizable alerts, multilingual analysis, and real-time reputation scoring. With higher risk exposure and stakeholder expectations, large organizations are integrating these platforms into their governance and communication strategies to ensure proactive crisis management.
Small and medium enterprises (SMEs) are projected to witness the fastest CAGR of 23.44% during the forecast period. This growth is driven by the availability of affordable, plug-and-play AI monitoring tools tailored for smaller teams. Solutions like Sprout Social’s SME-focused edition and Awario’s modular pricing structure enable easy adoption. As SMEs become more digitally active and customer engagement intensifies, the demand for real-time reputation monitoring and brand protection tools continues to rise.
North America dominated the AI-powered social media crisis detection market in 2024, accounting for approximately 42.37% of the total market share. This dominance is driven by early adoption of AI, a well-established digital infrastructure, and the presence of major players like Salesforce, Dataminr, and Sprinklr. The United States leads within North America due to its expansive tech ecosystem, heavy AI R&D investments, and wide usage of advanced AI tools for sentiment analysis and crisis management across media, enterprises, and government institutions.
Europe is witnessing steady market growth, supported by its regulatory-driven approach to digital content and the implementation of privacy frameworks like GDPR. Organizations in the region are increasingly adopting AI-based social media surveillance tools to meet compliance and risk management goals. Germany dominates the European market owing to its strong industrial sector, emphasis on digital sovereignty, and rising implementation of AI monitoring tools in political risk analysis, corporate communications, and crisis preparedness.
Asia Pacific is the fastest-growing region in the AI-powered social media crisis detection market, with a CAGR of 22.48% forecasted through 2032. The region is witnessing rapid digitization, a booming social media user base, and increasing adoption of AI-driven tools in sectors such as government, telecom, and entertainment. China leads the regional market due to its large-scale social media activity, aggressive AI policy rollouts, and high government demand for digital surveillance and crisis intelligence platforms to control public narratives and respond to incidents quickly.
The Middle East & Africa and Latin America are emerging markets for AI-powered social media crisis detection tools, driven by rising investments in smart governance, national security, and misinformation control. The UAE leads in MEA with smart city and digital threat management, while Brazil dominates Latin America due to growing adoption in public safety, media monitoring, and social analytics.
The major key players of the AI-Powered Social Media Crisis Detection Market are Meltwater, Hootsuite, Sprinklr, Dataminr, Signal AI, Linkfluence, NetBase Quid, Sprout Social, Digimind, and Mention, and others.
In May 2024, Sprinklr launched its Crisis Management Solution App at the CXUnifiers 2024 event, featuring AI models tailored for over 30 platforms, enabling rapid detection and response to emerging brand crises with minimal setup.
In April 2023, Dataminr launched Pulse for Cyber Risk, enhancing its Pulse platform with AI-augmented capabilities that deliver real-time alerts on cyber-physical threats like malware and ransomware. It cross-correlates text, images, and sensor data to support enterprise security and CISOs with actionable threat intelligence.
| Report Attributes | Details |
|---|---|
| Market Size in 2024 | USD 1.62 Billion |
| Market Size by 2032 | USD 8.39 Billion |
| CAGR | CAGR of 22.82% From 2025 to 2032 |
| Base Year | 2024 |
| Forecast Period | 2025-2032 |
| Historical Data | 2021-2023 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | •By Component, (Software, Services) •By Deployment Mode, (Cloud, On-Premises) •By Application, (Brand Monitoring, Incident Management, Sentiment Analysis, Risk Assessment, Others) •By End-User, (Enterprises, Government, Media & Entertainment, Others) •By Organization Size, (Large Enterprises, Small and Medium Enterprises) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, Poland, Turkey, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | Meltwater, Hootsuite, Sprinklr, Dataminr, Signal AI, Linkfluence, NetBase Quid, Sprout Social, Digimind, Mention |
Ans: The AI-Powered Social Media Crisis Detection Market is projected to expand at a CAGR of 22.82% during the forecast period from 2025 to 2032.
Ans: The AI-Powered Social Media Crisis Detection Market was valued at approximately USD 1.62 billion in 2024.
Ans: The major growth driver is the rising adoption of AI-based risk management tools across enterprises and government agencies.
Ans: The Software segment dominated the market in 2024, holding around 67.27% of the total revenue share.
Ans: North America dominated the AI-Powered Social Media Crisis Detection Market in 2024, accounting for approximately 42.37% of the total market share.
Table of Contents:
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Crisis Detection Accuracy Rate
5.2 Language and Region Diversity Coverage
5.3 First-Mover Advantage Stats
5.4 Cross-Platform Risk Volume
5.5 Human-AI Collaboration Ratios
5.7 Sentiment Shift Prediction Accuracy
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. AI-Powered Social Media Crisis Detection Market Segmentation, By Component
7.1 Chapter Overview
7.2 Software
7.2.1 Software Market Trends Analysis (2021-2032)
7.2.2 Software Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Services
7.3.1 Services Market Trends Analysis (2021-2032)
7.3.2 Services Market Size Estimates and Forecasts to 2032 (USD Billion)
8. AI-Powered Social Media Crisis Detection Market Segmentation, By Application
8.1 Chapter Overview
8.2 Brand Monitoring
8.2.1 Brand Monitoring Market Trends Analysis (2021-2032)
8.2.2 Brand Monitoring Market Size Estimates And Forecasts To 2032 (USD Billion)
8.3 Incident Management
8.3.1 Incident Management Market Trends Analysis (2021-2032)
8.3.2 Incident Management Market Size Estimates And Forecasts To 2032 (USD Billion)
8.4 Sentiment Analysis
8.4.1 Sentiment Analysis Market Trends Analysis (2021-2032)
8.4.2 Sentiment Analysis Market Size Estimates And Forecasts To 2032 (USD Billion)
8.5 Risk Assessment
8.5.1 Risk Assessment Market Trends Analysis (2021-2032)
8.5.2 Risk Assessment Market Size Estimates And Forecasts To 2032 (USD Billion)
8.6 Others
8.6.1 Others Market Trends Analysis (2021-2032)
8.6.2 Others Market Size Estimates And Forecasts To 2032 (USD Billion)
9. AI-Powered Social Media Crisis Detection Market Segmentation, By End-User
9.1 Chapter Overview
9.2 Enterprises
9.2.1 Enterprises Market Trends Analysis (2021-2032)
9.2.2 Enterprises Market Size Estimates And Forecasts To 2032 (USD Billion)
9.3 Government
9.3.1 Government Market Trends Analysis (2021-2032)
9.3.2 Government Market Size Estimates And Forecasts To 2032 (USD Billion)
9.4 Media & Entertainment
9.4.1 Media & Entertainment Market Trends Analysis (2021-2032)
9.4.2 Media & Entertainment Market Size Estimates And Forecasts To 2032 (USD Billion)
9.5 Others
9.5.1 Others Market Trends Analysis (2021-2032)
9.5.2 Others Market Size Estimates And Forecasts To 2032 (USD Billion)
10. AI-Powered Social Media Crisis Detection Market Segmentation, By Deployment Mode
10.1 Chapter Overview
10.2 Cloud
10.2.1 Cloud Market Trends Analysis (2021-2032)
10.2.2 Cloud Market Size Estimates And Forecasts To 2032 (USD Billion)
10.3 On-premises
10.3.1 On-premises Market Trends Analysis (2021-2032)
10.3.2 On-premises Market Size Estimates And Forecasts To 2032 (USD Billion)
11. AI-Powered Social Media Crisis Detection Market Segmentation, By Organization Size
11.1 Chapter Overview
11.2 Large Enterprises
11.2.1 Large Enterprises Market Trends Analysis (2021-2032)
11.2.2 Large Enterprises Market Size Estimates And Forecasts To 2032 (USD Billion)
11.3 Small and Medium Enterprises
11.3.1 Small and Medium Enterprises Market Trends Analysis (2021-2032)
11.3.2 Small and Medium Enterprises Market Size Estimates And Forecasts To 2032 (USD Billion)
12. Regional Analysis
12.1 Chapter Overview
12.2 North America
12.2.1 Trends Analysis
12.2.2 North America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Country (2021-2032) (USD Billion)
12.2.3 North America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.2.4 North America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.2.5 North America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.2.6 North America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.2.7 North America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.2.8 USA
12.2.8.1 USA AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.2.8.2 USA AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.2.8.3 USA AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.2.8.4 USA AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.2.8.5 USA AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.2.9 Canada
12.2.9.1 Canada AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.2.9.2 Canada AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.2.9.3 Canada AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.2.9.4 Canada AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.2.9.5 Canada AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.2.10 Mexico
12.2.10.1 Mexico AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.2.10.2 Mexico AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.2.10.3 Mexico AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.2.10.4 Mexico AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.2.10.5 Mexico AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.3 Europe
12.3.1 Trends Analysis
12.3.2 Europe AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Country (2021-2032) (USD Billion)
12.3.3 Europe AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.3.4 Europe AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.3.5 Europe AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.3.6 Europe AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.3.7 Europe AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.3.8 Poland
12.3.8.1 Poland AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.3.8.2 Poland AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.3.8.3 Poland AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.3.8.4 Poland AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.3.8.5 Poland AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.3.9 Turkey
12.3.9.1 Turkey AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.3.9.2 Turkey AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.3.9.3 Turkey AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.3.9.4 Turkey AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.3.9.5 Turkey AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.3.10 Germany
12.3.10.1 Germany AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.3.10.2 Germany AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.3.10.3 Germany AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.3.10.4 Germany AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.3.10.5 Germany AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.3.11 France
12.3.11.1 France AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.3.11.2 France AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.3.11.3 France AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.3.11.4 France AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.3.11.5 France AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.3.12 UK
12.3.12.1 UK AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.3.12.2 UK AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.3.12.3 UK AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.3.12.4 UK AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.3.12.5 UK AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.3.13 Italy
12.3.13.1 Italy AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.3.13.2 Italy AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.3.13.3 Italy AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.3.13.4 Italy AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.3.13.5 Italy AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.3.14 Spain
12.3.14.1 Spain AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.3.14.2 Spain AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.3.14.3 Spain AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.3.14.4 Spain AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.3.14.5 Spain AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.3.15 Rest Of Europe
12.3.15.1 Rest Of Western Europe AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.3.15.2 Rest Of Western Europe AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.3.15.3 Rest Of Western Europe AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.3.15.4 Rest Of Western Europe AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.3.15.5 Rest Of Western Europe AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.4 Asia Pacific
12.4.1 Trends Analysis
12.4.2 Asia Pacific AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Country (2021-2032) (USD Billion)
12.4.3 Asia Pacific AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.4.4 Asia Pacific AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.4.5 Asia Pacific AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.4.6 Asia Pacific AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.4.7 Asia Pacific AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.4.8 China
12.4.8.1 China AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.4.8.2 China AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.4.8.3 China AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.4.8.4 China AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.4.8.5 China AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.4.9 India
12.4.9.1 India AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.4.9.2 India AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.4.9.3 India AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.4.9.4 India AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.4.9.5 India AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.4.10 Japan
12.4.10.1 Japan AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.4.10.2 Japan AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.4.10.3 Japan AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.4.10.4 Japan AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.4.10.5 Japan AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.4.11 South Korea
12.4.11.1 South Korea AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.4.11.2 South Korea AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.4.11.3 South Korea AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.4.11.4 South Korea AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.4.11.5 South Korea AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.4.12 Singapore
12.4.12.1 Singapore AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.4.12.2 Singapore AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.4.12.3 Singapore AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.4.12.4 Singapore AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.4.12.5 Singapore AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.4.13 Australia
12.4.13.1 Australia AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.4.13.2 Australia AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.4.13.3 Australia AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.4.13.4 Australia AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.4.13.5 Australia AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.4.14 Rest Of Asia Pacific
12.4.14.1 Rest Of Asia Pacific AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.4.14.2 Rest Of Asia Pacific AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.4.14.3 Rest Of Asia Pacific AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.4.14.4 Rest Of Asia Pacific AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.4.14.5 Rest Of Asia Pacific AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.5 Middle East And Africa
12.5.1 Trends Analysis
12.5.2 Middle East And Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Country (2021-2032) (USD Billion)
12.5.3 Middle East And Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.5.4 Middle East And Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.5.5 Middle East And Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.5.6 Middle East And Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.5.7 Middle East And Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.5.8 UAE
12.5.8.1 UAE AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.5.8.2 UAE AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.5.8.3 UAE AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.5.8.4 UAE AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.5.8.5 UAE AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.5.9 Saudi Arabia
12.5.9.1 Saudi Arabia AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.5.9.2 Saudi Arabia AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.5.9.3 Saudi Arabia AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.5.9.4 Saudi Arabia AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.5.9.5 Saudi Arabia AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.5.10 Qatar
12.5.10.1 Qatar AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.5.10.2 Qatar AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.5.10.3 Qatar AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.5.10.4 Qatar AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.5.10.5 Qatar AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.5.11 South Africa
12.5.11.1 South Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.5.11.2 South Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.5.11.3 South Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.5.11.4 South Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.5.11.5 South Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.5.12 Rest Of Africa
12.5.12.1 Rest Of Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.5.12.2 Rest Of Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.5.12.3 Rest Of Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.5.12.4 Rest Of Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.5.12.5 Rest Of Africa AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.6 Latin America
12.6.1 Trends Analysis
12.6.2 Latin America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Country (2021-2032) (USD Billion)
12.6.3 Latin America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.6.4 Latin America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.6.5 Latin America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.6.6 Latin America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.6.7 Latin America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.6.8 Brazil
12.6.8.1 Brazil AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.6.8.2 Brazil AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.6.8.3 Brazil AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.6.8.4 Brazil AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.6.8.5 Brazil AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.6.9 Argentina
12.6.9.1 Argentina AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.6.9.2 Argentina AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.6.9.3 Argentina AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.6.9.4 Argentina AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.6.9.5 Argentina AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
12.6.10 Rest Of Latin America
12.6.10.1 Rest Of Latin America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Component (2021-2032) (USD Billion)
12.6.10.2 Rest Of Latin America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Application (2021-2032) (USD Billion)
12.6.10.3 Rest Of Latin America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By End-User (2021-2032) (USD Billion)
12.6.10.4 Rest Of Latin America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Deployment Mode (2021-2032) (USD Billion)
12.6.10.5 Rest Of Latin America AI-Powered Social Media Crisis Detection Market Estimates And Forecasts, By Organization Size (2021-2032) (USD Billion)
13. Company Profiles
13.1 Meltwater
13.1.1 Company Overview
13.1.2 Financial
13.1.3 Products/ Services Offered
13.1.4 SWOT Analysis
13.2 Hootsuite
13.2.1 Company Overview
13.2.2 Financial
13.2.3 Products/ Services Offered
13.2.4 SWOT Analysis
13.3 Sprinklr
13.3.1 Company Overview
13.3.2 Financial
13.3.3 Products/ Services Offered
13.3.4 SWOT Analysis
13.4 Dataminr
13.4.1 Company Overview
13.4.2 Financial
13.4.3 Products/ Services Offered
13.4.4 SWOT Analysis
13.5 Signal AI
13.5.1 Company Overview
13.5.2 Financial
13.5.3 Products/ Services Offered
13.5.4 SWOT Analysis
13.6 Linkfluence
13.6.1 Company Overview
13.6.2 Financial
13.6.3 Products/ Services Offered
13.6.4 SWOT Analysis
13.7 NetBase Quid
13.7.1 Company Overview
13.7.2 Financial
13.7.3 Products/ Services Offered
13.7.4 SWOT Analysis
13.8 Sprout Social
13.8.1 Company Overview
13.8.2 Financial
13.8.3 Products/ Services Offered
13.8.4 SWOT Analysis
13.9 Digimind
13.9.1 Company Overview
13.9.2 Financial
13.9.3 Products/ Services Offered
13.9.4 SWOT Analysis
13.10 Mention
13.10.1 Company Overview
13.10.2 Financial
13.10.3 Products/ Services Offered
13.10.4 SWOT Analysis
14. Use Cases and Best Practices
15. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Component
Software
Services
By Deployment Mode
Cloud
On-Premises
By Application
Brand Monitoring
Incident Management
Sentiment Analysis
Risk Assessment
Others
By End-User
Enterprises
Government
Media & Entertainment
Others
By Organization Size
Large Enterprises
Small and Medium Enterprises
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Germany
France
UK
Italy
Spain
Poland
Turkey
Rest of Europe
Asia Pacific
China
India
Japan
South Korea
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
UAE
Saudi Arabia
Qatar
South Africa
Rest of Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players