PUBLISHER: QYResearch | PRODUCT CODE: 1867556
PUBLISHER: QYResearch | PRODUCT CODE: 1867556
The global market for Social Business Intelligence was estimated to be worth US$ 20812 million in 2024 and is forecast to a readjusted size of US$ 44415 million by 2031 with a CAGR of 12.2% during the forecast period 2025-2031.
Social Business Intelligence (SBI) refers to an integrated analytical system that merges social media data with traditional business intelligence tools. By collecting, analyzing, and visualizing vast amounts of social data, SBI enables companies to gain accurate insights into market trends, consumer behavior, and brand sentiment. It consolidates unstructured data from platforms such as social media, forums, and reviews, while leveraging natural language processing (NLP), sentiment analysis, and real-time monitoring technologies. As businesses increasingly prioritize customer experience and brand reputation, SBI is emerging as a core capability for intelligent marketing strategies and agile decision-making.
With the continued expansion of the global digital ecosystem, social platforms have become crucial arenas for consumers to express opinions and behaviors, prompting businesses to shift from traditional research to real-time social data insights. Large enterprises, financial institutions, FMCG, retail, and tech companies are rapidly deploying SBI systems to better understand market dynamics and customer sentiments. Integration with CRM, DMP, and marketing automation platforms enhances data utilization and strategic decision-making. Furthermore, advances in AI algorithms have significantly improved semantic analysis, sentiment classification, and trend forecasting, expanding the real-world application of SBI across industries.
Despite its promising outlook, the SBI market faces challenges including data compliance, privacy protection, and data quality assurance. Stringent regulations in the EU and US, such as GDPR and CCPA, restrict how companies collect and utilize social data. Additionally, the ability to extract meaningful insights from noisy social streams tests a platform's proficiency in data cleansing, model training, and multilingual semantic analysis. Internal awareness gaps also hinder SBI adoption among SMEs, limiting broader market penetration.
SBI is seeing surging demand in scenarios such as brand management, product development, marketing, and customer support. Brands increasingly rely on social data to perform competitor benchmarking and uncover consumer resonance points to enhance communication efficiency. In an era where consumers shape public discourse, businesses are moving beyond static reports toward real-time, multi-dimensional, interactive SBI solutions for fast decision-making and public sentiment control. In the future, integration with visual BI dashboards and multimodal AI will make SBI an even more critical enabler of data-driven innovation.
This report aims to provide a comprehensive presentation of the global market for Social Business Intelligence, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Social Business Intelligence by region & country, by Type, and by Application.
The Social Business Intelligence market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Social Business Intelligence.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Social Business Intelligence company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Social Business Intelligence in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Social Business Intelligence in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.