Social Intelligence Market Size was valued at USD 2.2 Billion in 2022. The Social Intelligence market industry is projected to grow from USD 2.69 Billion in 2023 to USD 13.76 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 22.60% during the forecast period (2023 - 2032).Increased demand and adoption of data analytics and increased usage for maintaining data effectively are the key market drivers incorporating market growth.
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Market CAGR for social intelligence is driven by the rising integration of social intelligence with customer relationship management systems. Traditionally, CRM systems have focused on capturing customer data from direct interactions and sales transactions. However, with the rise of social media, customer interactions, and brand conversations are increasingly happening online. By integrating social intelligence with CRM systems, businesses can capture and analyze social media interactions alongside other customer data. This integration allows for a holistic view of customer behavior, preferences, and sentiment across multiple touch points. Consequently, businesses can better understand their customers, deliver personalized experiences, and target their marketing efforts more effectively. Moreover, integrating social intelligence and CRM systems enables enterprises to identify and prioritize influential customers or brand advocates. These customers can be leveraged for word-of-mouth marketing, brand ambassador programs, or targeted promotional campaigns, increasing brand reach and credibility.
Artificial Intelligence and Machine Learning technologies are changing the social intelligence landscape. AI-powered tools can analyze vast amounts of social media data in real time, enabling businesses to gain actionable insights quickly. ML algorithms can detect patterns, sentiments, and trends, facilitating identifying emerging opportunities and potential risks. One of the significant applications of A.I. and ML in social intelligence is sentiment analysis. By automatically analyzing social media posts and comments, sentiment analysis tools can determine customer opinions and emotions toward a brand or product. This information helps businesses gauge customer satisfaction, identify areas for improvement, and develop effective marketing strategies. Furthermore, AI-driven chatbots are increasingly used to engage with customers on social media platforms. These chatbots can provide personalized responses, answer queries, and even initiate proactive customer interactions. AI-powered solutions enhance customer experience, increase brand engagement, and drive customer loyalty.
Social intelligence tools are increasingly used to monitor brand mentions, customer conversations, and real-time online sentiment. Real-time monitoring helps businesses identify potential issues and react promptly, mitigating the risks of negative brand sentiment and reputation damage. Social intelligence tools can send automated alerts when predefined keywords or sentiment thresholds are met, enabling businesses to take immediate action. Furthermore, crisis management has become an integral part of social intelligence strategies. Companies can gauge public sentiment by analyzing social media data during crises or sensitive situations, identifying the most impacted demographics, and tailoring their responses accordingly. This proactive approach allows businesses to address concerns promptly, rebuild trust, and manage reputational crises effectively.
The global social intelligence market is evolving rapidly, driven by the growing adoption of A.I. and ML technologies, integration with CRM systems, and the emphasis on real-time monitoring and crisis management. These trends enable businesses to gain valuable insights from social media platforms, understand customer sentiment, and make data-driven decisions. As social media continues to shape consumer behavior and brand perceptions, organizations embracing social intelligence will be better established to meet customer expectations, driving the revenue of the Social Intelligence market.
The global Social Intelligence market segmentation, based on components, includes software and services. The software segment dominated the market. It provides software platforms and tools that enable data collection, monitoring, analysis, and visualization. These solutions offer sentiment analysis, trend identification, social listening, and competitive analysis.
The global Social Intelligence market segmentation, based on deployment, includes cloud and on-premise. The cloud category generated the most income. It involves hosting social intelligence solutions on remote servers and accessing them online. It offers scalability, flexibility, and cost-effectiveness as organizations pay for the resources they use. Cloud-based solutions also enable remote collaboration and real-time data access.
The global Social Intelligence market segmentation, based on application, includes recruitment, marketing & sales analysis, social media research, product development, customer service, campaign analysis, and others. The recruitment segment dominated the market. Companies use social media platforms to identify and evaluate potential candidates. By analyzing their social media profiles, recruiters can gain insights into candidates' interests, skills, and overall suitability for the job. This approach provides a more comprehensive view of candidates beyond their resumes, enabling organizations to make better hiring decisions.
Figure 1: Global Social Intelligence Market, by Application, 2022 & 2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
By region, the study provides market insights into North America, Europe, Asia-Pacific, and the Rest of the World. The North American Social Intelligence market will dominate this market, due to the well-established social media landscape, with a high level of digital adoption among businesses and consumers. Many regional companies are investing heavily in social media monitoring and analytics tools to understand consumer preferences, track competitors, and manage their online reputation. The presence of major social media platforms and technology giants also contributes to the market growth in North America.
Further, the major countries studied in the market report are The US, Canada, German, France, the U.K., Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 2: GLOBAL SOCIAL INTELLIGENCE MARKET SHARE BY REGION 2022 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
Europe's Social Intelligence market accounts for the second-largest market share. A high level of social media engagement and a growing awareness of the importance of social intelligence for businesses characterizes the European market. The region has stringent data protection regulations, such as the General Data Protection Regulation, which influence the market dynamics. Companies in Europe are increasingly adopting social intelligence solutions to comply with data privacy laws while leveraging social media insights for marketing campaigns, customer service, and brand management. Further, the German Social Intelligence market held the largest market share, and the U.K. Social Intelligence market was the fastest-growing market in the European region.
The Asia-Pacific Social Intelligence Market is expected to grow fastest from 2023 to 2032. It is due to the large population and a rising middle class with increasing disposable incomes, which has led to a surge in social media usage and e-commerce activities. Companies in the region are using social intelligence to understand consumer behavior, localize their marketing strategies, and gain a different edge in the business environment. Moreover, China’s Social Intelligence market held the largest market share, and the Indian Social Intelligence market was the rapidly growing Asian-Pacific market.
Leading market players are investing heavily in research and development to expand their product lines, which will help the Social Intelligence market grow even more. Market participants are also undertaking several strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, the Social Intelligence industry must offer cost-effective items.
Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the global Social Intelligence industry to benefit clients and increase the market sector. In recent years, the Social Intelligence industry has offered some of the most significant advantages to medicine. Major players in the Social Intelligence market, including IBM Corporation (U.S.), Germin8 (India), Brandwatch (U.K.), Sysomos Inc. (Canada), Synthesio (U.S.), ARBA Holdings (Hong Kong), Frrole Inc. (U.S.), Talkwalker (U.S.), Adobe Systems Software Ireland Ltd (Ireland), Oracle Corporation (U.S.), SAP SE (Germany), and others, are attempting to increase market demand by investing in research and development operations.
Giles Palmer's, Brandwatch, founded in 2007, and located in Brighton, United Kingdom, is a social media software company owned by Cision. It sells consumer intelligence and social media management. It comprises consumer research, visit, reviews, publishing, advertising, measuring, benchmarking, influencing, engaging, audience, and listening. In May 2022, Falcon.io was acquired by Cision in January 2019 and merged with Brandwatch.
Dietmar Hopp, Hans-Werner Hector, Hasso Plattner, Klaus Tschira, and Claus Wellenreuther's SAP SE, founded in 1972, located in Walldorf, Baden-Wuttemberg, Germany, is a German international software company that develops enterprise software to manage business operations and customer relations. It is one of the world's leading enterprise resource planning software vendors. Its products include SAP HANA, SAP Success Factors, SAP Business By Design, SAP Converged Cloud, SAP CRM, SAP PLM, SAP Net Weaver, SAP ERP, and many more.
IBM Corporation (U.S.)
Germin8 (India)
Brandwatch (U.K.)
Sysomos Inc. (Canada)
Synthesio (U.S.)
ARBA Holdings (Hong Kong)
Frrole Inc. (U.S.)
Talkwalker (U.S.)
Adobe Systems Software Ireland Ltd (Ireland)
Oracle Corporation (U.S.)
SAP SE (Germany)
April 2018: Facebook introduced the controversial Al, which advertisers can use to predict users' future and guide customers based on their behavior.
May 2018: Using machine learning technology, Google upgraded its powerful Google News Al application.
Software
Services
Cloud
On-Premise
Recruitment
Marketing & Sales Analysis
Social Media Research
Product Development
Customer Service
Campaign Analysis
Others
North America
US
Canada
Europe
Germany
France
UK
Italy
Spain
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Australia
Rest of Asia-Pacific
Rest of the World
Middle East
Africa
Latin America
| Report Attribute/Metric | Details |
| Market Size 2022 | USD 2.2 Billion |
| Market Size 2023 | USD 2.69 Billion |
| Market Size 2032 | USD 13.76 Billion |
| Compound Annual Growth Rate (CAGR) | 22.60% (2023-2032) |
| Base Year | 2022 |
| Market Forecast Period | 2023-2032 |
| Historical Data | 2018- 2022 |
| Market Forecast Units | Value (USD Billion) |
| Report Coverage | Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | Component, Deployment, Application, and Region |
| Geographies Covered | North America, Europe, Asia Pacific, and the Rest of the World |
| Countries Covered | The US, Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil |
| Key Companies Profiled | IBM Corporation (U.S.), Germin8 (India), Brandwatch (U.K.), Sysomos Inc. (Canada), Synthesio (U.S.), ARBA Holdings (Hong Kong), Frrole Inc. (U.S.), Talkwalker (U.S.), Adobe Systems Software Ireland Ltd (Ireland), Oracle Corporation (U.S.), SAP SE (Germany). |
| Key Market Opportunities | Increasing adoption in banking, finance, and human resource sectors owing to the growing popularity of social media networking |
| Key Market Dynamics | Increased technological advancements combined with the mounting demand for social intelligence across various industry verticals. |
Social Intelligence Market Highlights:
Frequently Asked Questions (FAQ) :
The global Social Intelligence market was valued at USD 2.2 Billion in 2022.
The global market is projected to grow at a CAGR of 22.60% during the forecast period, 2023-2032.
North America had the largest share of the global market.
The key players in the market are IBM Corporation (U.S.), Germin8 (India), Brandwatch (U.K.), Sysomos Inc. (Canada), Synthesio (U.S.), ARBA Holdings (Hong Kong), Frrole Inc. (U.S.), Talkwalker (U.S.), Adobe Systems Software Ireland Ltd (Ireland), Oracle Corporation (U.S.), SAP SE (Germany).
The software category dominated the market in 2022.
The cloud-based had the largest share in the global market.
Recruitment had the largest share of the global market.
Research Analyst Level II With a technical background in information technology & semiconductors, shubham has 4.5+ years of experience in market research and analytics with the tasks of data mining, analysis, and project execution. he is the poc for our clients, for their consulting projects running under the ict/semiconductor domain. shubham holds a bachelor’s in information and technology and a master of business administration (mba). shubham has executed over 150 research projects for our clients under the brand name market research future in the last 2 years. his core skill is building the research respondent relation for gathering the primary information from industry and market estimation for niche markets. he is having expertise in conducting secondary & primary research, market estimations, market projections, competitive analysis, analysing current market trends and market dynamics, deep-dive analysis on market scenarios, consumer behaviour, technological impact analysis, consulting, analytics, etc. he has worked on fortune 500 companies' syndicate and consulting projects along with several government projects. he has worked on the projects of top tech brands such as ibm, google, microsoft, aws, meta, oracle, cisco systems, samsung, accenture, vmware, schneider electric, dell, hp, ericsson, and so many others. he has worked on metaverse, web 3.0, zero-trust security, cyber-security, blockchain, quantum computing, robotics, 5g technology, high-performance computing, data centers, ai, automation, it equipment, sensors, semiconductors, consumer electronics and so many tech domain projects.
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