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社交智慧市场 - 全球产业规模、份额、趋势、机会和预测，按组织规模、类型、应用、地区和竞争细分，2019-2029F

Social Intelligence Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented, By Organization Size, By Type, By Application, By Region & Competition, 2019-2029F

出版日期: 2024年12月13日 | 出版商:

TechSci Research | 英文 182 Pages | 商品交期: 2-3个工作天内

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简介目录

2023年全球社交智慧市场价值为39.6亿美元，预计2029年将达到163.7亿美元，预测期内复合年增长率为26.49%。社交智慧市场是指专注于利用先进技术收集、分析和解释来自各种社交媒体平台、线上社群和其他数位来源的资料，以即时了解人类行为、趋势和情绪的行业。社交智慧解决方案结合了自然语言处理 (NLP)、机器学习 (ML)、人工智慧 (AI) 和巨量资料分析，为企业、政府和组织提供洞察，从而增强决策、改善客户体验并培养有针对性的目标行销策略。该市场涵盖广泛的应用，包括社交媒体监控、情绪分析、品牌声誉管理、客户参与和竞争情报。透过分析社交讯号和线上互动，社交智慧工具使企业能够追踪公众舆论、识别新兴趋势、评估市场动态并优化行销活动，从而实现更个人化的客户互动和产品。

市场概况
预测期	2025-2029
2023 年市场规模	39.6亿美元
2029 年市场规模	163.7亿美元
2024-2029 年复合年增长率	26.49%
成长最快的细分市场	中小企业
最大的市场	北美洲

主要市场驱动因素

对数据驱动决策的需求不断增加

社群媒体平台和用户生成内容的激增

人工智慧和机器学习的进步

主要市场挑战

资料隐私和道德问题

数据品质和整合问题

主要市场趋势

人工智慧与机器学习的融合

社群媒体分析与监控的兴起

细分市场洞察

组织规模洞察

区域洞察

Global Social Intelligence Market was valued at USD 3.96 billion in 2023 and is expected to reach USD 16.37 billion by 2029 with a CAGR of 26.49% during the forecast period. The Social Intelligence Market refers to the sector focused on leveraging advanced technologies to gather, analyze, and interpret data from various social media platforms, online communities, and other digital sources to understand human behavior, trends, and sentiments in real time. Social intelligence solutions combine natural language processing (NLP), machine learning (ML), artificial intelligence (AI), and big data analytics to provide businesses, governments, and organizations with insights that enhance decision-making, improve customer experience, and foster targeted marketing strategies. This market encompasses a wide range of applications, including social media monitoring, sentiment analysis, brand reputation management, customer engagement, and competitive intelligence. By analyzing social signals and online interactions, social intelligence tools enable businesses to track public opinion, identify emerging trends, assess market dynamics, and optimize marketing campaigns, leading to more personalized customer interactions and product offerings.

Market Overview
Forecast Period	2025-2029
Market Size 2023	USD 3.96 Billion
Market Size 2029	USD 16.37 Billion
CAGR 2024-2029	26.49%
Fastest Growing Segment	SMEs
Largest Market	North America

Key Market Drivers

Increasing Demand for Data-Driven Decision Making

The growing need for data-driven decision-making is one of the primary drivers fueling the expansion of the Social Intelligence Market. In today's business landscape, organizations are under pressure to remain competitive, and leveraging social intelligence tools allows them to extract actionable insights from vast amounts of unstructured data generated on social media platforms. Businesses are increasingly recognizing the value of understanding consumer sentiments, preferences, and behaviors through social media interactions, which enables them to refine their marketing strategies, enhance customer engagement, and optimize product development. Social intelligence platforms help businesses monitor real-time conversations across social channels, identify trends, and gauge public perception, offering an advantage in making informed, timely decisions. For example, by analyzing Twitter posts, Facebook comments, or LinkedIn discussions, companies can better understand emerging market trends or detect potential risks, allowing for proactive responses to consumer needs. Moreover, the rise of social media analytics tools has made it easier for even small and medium-sized enterprises (SMEs) to tap into the power of big data, helping them gain a competitive edge. As the global business environment becomes more dynamic, the ability to make rapid, data-driven decisions is no longer optional, and the Social Intelligence Market continues to expand as businesses seek to integrate these tools into their operations. Additionally, the demand for personalized customer experiences is prompting organizations to turn to social intelligence, as it enables businesses to segment audiences more effectively, tailor marketing campaigns, and predict future consumer trends. The continuous evolution of social media platforms and the integration of artificial intelligence (AI) and machine learning (ML) technologies further enhance the capabilities of social intelligence tools, making them an essential component of modern business strategies.

Proliferation of Social Media Platforms and User-Generated Content

The rapid proliferation of social media platforms and the explosion of user-generated content (UGC) are significant market drivers for the Social Intelligence Market. With billions of people engaging on platforms like Facebook, Instagram, Twitter, YouTube, TikTok, and LinkedIn, the volume of conversations and content generated daily offers businesses an unprecedented opportunity to tap into vast sources of consumer insights. User-generated content, such as posts, reviews, videos, comments, and ratings, is increasingly being seen as a valuable asset for brands seeking to understand consumer sentiment, gauge market demand, and track competitor activity. Social intelligence tools enable businesses to aggregate, analyze, and extract meaning from this flood of content, delivering real-time insights into public opinion and emerging trends. These tools empower organizations to monitor social conversations, identify influencers, and track the effectiveness of marketing campaigns. As more people engage online and share personal opinions, product reviews, and brand experiences, businesses that are able to leverage these insights gain a competitive advantage in improving customer satisfaction, enhancing brand loyalty, and driving sales. Additionally, the shift in consumer behavior, where individuals now expect brands to be responsive and engaged on social media, has made social listening an essential practice. Companies that ignore social intelligence risk losing touch with their audience or missing out on critical feedback that could inform product development or crisis management. The growing importance of social media as a marketing and communication channel further fuels the demand for sophisticated social intelligence solutions, with companies across industries investing heavily in technologies that can help them process and understand this rich source of data. As of 2024, approximately 5.2 billion people worldwide are active social media users, representing around 66% of the global population.

Advancements in Artificial Intelligence and Machine Learning

Advancements in artificial intelligence (AI) and machine learning (ML) technologies are transforming the Social Intelligence Market, enabling businesses to derive deeper insights and automate complex social media analysis tasks. These technological innovations are enhancing the capabilities of social intelligence platforms, making them more powerful, accurate, and scalable. AI-powered algorithms can process massive amounts of unstructured data, such as social media posts, comments, and videos, at a speed and accuracy far beyond human capabilities. By using sentiment analysis, topic modeling, and predictive analytics, AI can help businesses track consumer sentiment, detect emerging trends, and anticipate market shifts. Machine learning further enhances the precision of social intelligence tools by enabling them to learn from past data and refine their predictions over time, creating a feedback loop that continually improves the system's ability to understand social dynamics. This empowers organizations to not only monitor brand mentions and customer feedback in real time but also predict potential issues before they escalate, allowing for more proactive decision-making. Additionally, AI and ML technologies enable more accurate segmentation of audiences, which helps businesses tailor their content, messaging, and outreach efforts for different customer groups. As a result, businesses can engage with consumers more effectively and create personalized experiences that resonate with their target audiences. The integration of AI and ML into social intelligence platforms has also lowered the barriers to entry for organizations, allowing even smaller companies to harness the power of social intelligence tools without needing extensive data science expertise. As AI and ML continue to evolve, the Social Intelligence Market is expected to grow rapidly, with new capabilities emerging to further enhance the value of social data for businesses across all sectors.

Key Market Challenges

Data Privacy and Ethical Concerns

One of the primary challenges in the Social Intelligence Market is the growing concern over data privacy and ethical implications. As businesses increasingly rely on social intelligence tools to analyze vast amounts of data from social media platforms, online communities, and other public domains, they must navigate a complex regulatory landscape. The collection, processing, and utilization of personal data raise significant privacy concerns, especially with stringent data protection laws such as the General Data Protection Regulation (GDPR) in the European Union and the California Consumer Privacy Act (CCPA) in the United States. These regulations demand businesses to ensure transparency, consent, and accountability when handling consumer data. Failure to comply with these laws could result in heavy fines, damage to brand reputation, and loss of consumer trust. Additionally, ethical concerns regarding the use of social intelligence tools for surveillance or manipulating public opinion can further complicate market adoption. There is a fine line between gathering data for legitimate business purposes, such as improving customer experience or targeting marketing efforts, and using it in ways that could violate consumer trust or ethical standards. As social intelligence tools become more sophisticated, there is a heightened risk of overreach, where companies may inadvertently infringe upon individual privacy or use data for purposes not explicitly consented to by users. This creates a delicate balance between harnessing the power of social data and respecting privacy rights. Furthermore, the potential for misuse in sensitive areas, such as election manipulation or public opinion shaping, poses additional risks to businesses involved in the social intelligence sector. To mitigate these challenges, companies must implement robust data governance frameworks, ensure transparency in data usage, and adopt ethical guidelines for utilizing social intelligence technologies. These efforts not only safeguard compliance with data protection laws but also help maintain consumer trust and loyalty, which are essential for long-term success in the market.

Data Quality and Integration Issues

Another significant challenge in the Social Intelligence Market is the issue of data quality and integration. Social intelligence relies heavily on large volumes of data from diverse sources, including social media, blogs, forums, and other online platforms. However, the sheer volume and variety of data can present difficulties in ensuring its accuracy, relevance, and completeness. Social media data, for instance, is often unstructured, noisy, and inconsistent, which can make it difficult for social intelligence platforms to extract meaningful insights. The presence of fake accounts, bots, or misleading content further complicates the data analysis process, leading to the risk of inaccurate conclusions. Poor data quality can ultimately undermine the effectiveness of social intelligence tools, rendering them unreliable for decision-making. Additionally, the integration of data from multiple platforms and sources poses another challenge. Each platform may have its own format, structure, and access protocols, making it challenging for businesses to aggregate and synthesize data efficiently. Without seamless integration, companies may struggle to obtain a holistic view of customer sentiment, brand performance, or market trends. Moreover, integrating data across different internal systems, such as customer relationship management (CRM) tools, marketing automation platforms, and analytics dashboards, can be cumbersome and time-consuming. If the integration process is not executed properly, it can lead to data silos, inconsistent insights, and a fragmented understanding of consumer behavior. To address these issues, businesses must invest in advanced data cleaning, normalization, and integration tools that can streamline data processing and ensure its quality. Additionally, machine learning and natural language processing (NLP) technologies can play a crucial role in improving the accuracy of data analysis by filtering out noise, identifying patterns, and deriving actionable insights from unstructured data. However, these solutions require continuous refinement to ensure their effectiveness. Furthermore, organizations need to adopt a strategic approach to data management, ensuring that data is collected from credible sources, validated, and integrated in a manner that provides a unified view across all touchpoints. Only by overcoming these data quality and integration challenges can businesses fully leverage the potential of social intelligence tools to drive better decision-making and gain a competitive edge in the market.

Key Market Trends

Integration of Artificial Intelligence and Machine Learning

The Social Intelligence Market is witnessing a significant trend toward the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies, which are revolutionizing how social media data is analyzed and interpreted. AI and ML algorithms enable companies to process vast amounts of unstructured data from social media platforms, blogs, forums, and other digital channels to uncover meaningful insights. These technologies empower organizations to predict consumer behavior, identify emerging trends, and enhance customer engagement strategies. AI-based sentiment analysis and natural language processing (NLP) tools are being increasingly adopted to gauge public sentiment, track brand reputation, and monitor real-time social interactions. Additionally, machine learning models are evolving to better understand complex social dynamics, ensuring that businesses can obtain deeper, more accurate insights for decision-making. The combination of AI and ML also helps automate many aspects of social intelligence, such as identifying relevant conversations, categorizing content, and even generating automated reports, which streamlines processes for businesses and improves overall efficiency. As organizations strive to gain a competitive edge, the integration of AI and ML within social intelligence platforms is expected to accelerate, driving growth in the market. Furthermore, these advancements are enabling personalized marketing campaigns, content recommendations, and tailored customer experiences, which are increasingly important in today's data-driven and consumer-centric business landscape.

Rise of Social Media Analytics and Monitoring

Social media analytics and monitoring have become critical components of the Social Intelligence Market as organizations look to optimize their marketing strategies, enhance customer engagement, and measure brand performance. With billions of active users across social media platforms such as Facebook, Twitter, Instagram, LinkedIn, and TikTok, companies are increasingly leveraging these platforms to gather real-time data and insights. The trend toward social media analytics is driven by the increasing importance of online presence and digital reputation for businesses. Advanced social listening tools allow organizations to track brand mentions, customer feedback, competitor activities, and industry trends across social channels, providing a 360-degree view of the social media landscape. Social media monitoring also plays a pivotal role in crisis management by helping businesses identify potential PR issues early and take proactive measures to address them. Additionally, these tools are enabling organizations to measure the success of their campaigns through key performance indicators (KPIs) such as engagement rates, sentiment analysis, and influencer impact. As businesses increasingly rely on social media to connect with consumers, the need for accurate and actionable insights through analytics and monitoring continues to grow. This trend is further amplified by the rise of data visualization tools and dashboards, which allow companies to easily interpret complex social data and make data-driven decisions. The growing emphasis on customer-centric strategies, brand advocacy, and personalized marketing campaigns is fueling the demand for social media analytics platforms, leading to continued growth in the social intelligence market.

Segmental Insights

Organization Size Insights

The Large Enterprises segment held the largest Market share in 2023. The Social Intelligence Market in the Large Enterprises segment is driven by the increasing need for organizations to harness data from social media platforms and other digital channels to enhance customer insights, improve decision-making, and drive competitive advantage. As large enterprises face growing pressure to stay ahead of market trends and understand consumer behavior, social intelligence solutions enable them to analyze vast amounts of social data, extracting actionable insights that inform marketing strategies, product development, and customer engagement. The proliferation of social media usage, coupled with the rise of user-generated content, has amplified the volume of unstructured data available for analysis, providing businesses with valuable opportunities to understand sentiment, track brand reputation, and identify emerging market trends. Additionally, the adoption of advanced technologies such as artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) is enhancing the accuracy and efficiency of social intelligence tools, enabling large enterprises to process and analyze data in real-time. This real-time capability is crucial for organizations seeking to respond quickly to market changes, address customer concerns, or capitalize on emerging opportunities.

The integration of social intelligence tools with other business systems, such as customer relationship management (CRM) and enterprise resource planning (ERP), allows large enterprises to gain a holistic view of customer interactions and sentiments across multiple touchpoints, streamlining decision-making and improving customer experience. As large enterprises increasingly focus on data-driven strategies to stay competitive, the ability to leverage social intelligence for personalized marketing, crisis management, and brand building becomes a critical asset. Furthermore, the growing importance of reputation management and the need for companies to maintain a positive public image in the digital age is driving the adoption of social intelligence tools to monitor and manage brand sentiment. The demand for actionable insights derived from social media data is also being fueled by the rise of influencer marketing, as businesses seek to identify key opinion leaders and track their impact on consumer behavior. Additionally, large enterprises are recognizing the potential of social intelligence in improving employee engagement and understanding internal sentiment, thus enabling better organizational management and fostering a positive work culture. The increasing reliance on social media as a key communication and marketing channel, combined with the growing complexity of digital ecosystems, further strengthens the need for sophisticated social intelligence solutions in large enterprises. As a result, the market for social intelligence tools continues to expand, providing large enterprises with the necessary tools to adapt to changing consumer preferences, enhance operational efficiency, and drive long-term business success.

Regional Insights

North America region held the largest market share in 2023. The Social Intelligence Market in North America is experiencing robust growth driven by several key factors that are reshaping the way organizations collect, analyze, and leverage social data for strategic decision-making. One of the primary drivers is the increasing reliance on social media as a critical channel for consumer engagement, brand management, and market research. With the proliferation of platforms such as Facebook, Twitter, Instagram, and LinkedIn, businesses are gaining unprecedented access to vast amounts of real-time data on consumer behavior, sentiment, and preferences. This enables organizations to develop targeted marketing strategies, enhance customer experiences, and identify emerging trends more effectively. The growing importance of data-driven decision-making is propelling investments in social intelligence solutions. These solutions harness advanced technologies such as artificial intelligence (AI), machine learning, and natural language processing (NLP) to extract actionable insights from unstructured social media content, providing companies with a competitive edge in market analysis and product development. The rise of big data analytics further enhances the potential of social intelligence, enabling organizations to process large volumes of social media data and derive meaningful patterns and correlations that inform strategic planning. Another significant driver is the increasing emphasis on customer-centricity across industries. Businesses are increasingly turning to social intelligence tools to improve customer engagement by monitoring and responding to customer feedback and complaints in real-time, which helps in building brand loyalty and trust. Social intelligence also plays a pivotal role in crisis management by providing organizations with early warning signals on public sentiment and potential issues, allowing them to respond proactively and mitigate reputational damage.

The North American market is benefiting from a favorable regulatory environment that supports the adoption of data analytics and AI technologies. Government initiatives aimed at promoting technological innovation and digital transformation, combined with the region's strong infrastructure and investment in research and development, foster an environment conducive to the growth of the social intelligence sector. Moreover, the rising trend of influencer marketing is contributing to the expansion of social intelligence tools, as companies seek to track the effectiveness of influencer campaigns and their impact on brand perception. Companies are also leveraging social intelligence to identify potential brand ambassadors and evaluate social media influencer credibility, optimizing their marketing strategies. The integration of social intelligence with other enterprise tools such as Customer Relationship Management (CRM) systems, marketing automation platforms, and business intelligence solutions is another significant driver. This integration enables businesses to gain a 360-degree view of customer interactions, leading to more personalized and efficient marketing efforts. Additionally, North American companies are increasingly adopting social intelligence in their product development processes, using social media data to uncover unmet customer needs and to test new product ideas before launch. As businesses continue to recognize the value of social media data in shaping business strategies, the demand for social intelligence solutions in North America is expected to grow exponentially, driving market expansion and innovation in the coming years.

Key Market Players

IBM Corporation
NVIDIA Corporation
Microsoft Corporation
SAP SE
Oracle Corporation
Adobe Inc.
Germin8
Brandwatch

Report Scope:

In this report, the Global Social Intelligence Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Social Intelligence Market, By Organization Size:

SMEs
Large Enterprises

Social Intelligence Market, By Type:

Software
Services

Social Intelligence Market, By Application:

Campaign Analysis
Sales & Marketing Management

Social Intelligence Market, By Region:

North America
- United States
- Canada
- Mexico
Europe
- France
- United Kingdom
- Italy
- Germany
- Spain
Asia-Pacific
- China
- India
- Japan
- Australia
- South Korea
South America
- Brazil
- Argentina
- Colombia
Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
- Kuwait
- Turkey

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global Social Intelligence Market.

Available Customizations:

Global Social Intelligence Market report with the given Market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

1. Product Overview

1.1. Market Definition
1.2. Scope of the Market
- 1.2.1. Markets Covered
- 1.2.2. Years Considered for Study
1.3. Key Market Segmentations

2. Research Methodology

2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
- 2.5.1. Secondary Research
- 2.5.2. Primary Research
2.6. Approach for the Market Study
- 2.6.1. The Bottom-Up Approach
- 2.6.2. The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
- 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Voice of Customer

5. Global Social Intelligence Market Outlook

5.1. Market Size & Forecast
- 5.1.1. By Value
5.2. Market Share & Forecast
- 5.2.1. By Organization Size (SMEs, Large Enterprises)
- 5.2.2. By Type (Software, Services)
- 5.2.3. By Application (Campaign Analysis, Sales & Marketing Management)
- 5.2.4. By Region
5.3. By Company (2023)
5.4. Market Map

6. North America Social Intelligence Market Outlook

6.1. Market Size & Forecast
- 6.1.1. By Value
6.2. Market Share & Forecast
- 6.2.1. By Organization Size
- 6.2.2. By Type
- 6.2.3. By Application
- 6.2.4. By Country
6.3. North America: Country Analysis
- 6.3.1. United States Social Intelligence Market Outlook
  - 6.3.1.1. Market Size & Forecast
    - 6.3.1.1.1. By Value
  - 6.3.1.2. Market Share & Forecast
    - 6.3.1.2.1. By Organization Size
    - 6.3.1.2.2. By Type
    - 6.3.1.2.3. By Application
- 6.3.2. Canada Social Intelligence Market Outlook
  - 6.3.2.1. Market Size & Forecast
    - 6.3.2.1.1. By Value
  - 6.3.2.2. Market Share & Forecast
    - 6.3.2.2.1. By Organization Size
    - 6.3.2.2.2. By Type
    - 6.3.2.2.3. By Application
- 6.3.3. Mexico Social Intelligence Market Outlook
  - 6.3.3.1. Market Size & Forecast
    - 6.3.3.1.1. By Value
  - 6.3.3.2. Market Share & Forecast
    - 6.3.3.2.1. By Organization Size
    - 6.3.3.2.2. By Type
    - 6.3.3.2.3. By Application

7. Europe Social Intelligence Market Outlook

7.1. Market Size & Forecast
- 7.1.1. By Value
7.2. Market Share & Forecast
- 7.2.1. By Organization Size
- 7.2.2. By Type
- 7.2.3. By Application
- 7.2.4. By Country
7.3. Europe: Country Analysis
- 7.3.1. Germany Social Intelligence Market Outlook
  - 7.3.1.1. Market Size & Forecast
    - 7.3.1.1.1. By Value
  - 7.3.1.2. Market Share & Forecast
    - 7.3.1.2.1. By Organization Size
    - 7.3.1.2.2. By Type
    - 7.3.1.2.3. By Application
- 7.3.2. United Kingdom Social Intelligence Market Outlook
  - 7.3.2.1. Market Size & Forecast
    - 7.3.2.1.1. By Value
  - 7.3.2.2. Market Share & Forecast
    - 7.3.2.2.1. By Organization Size
    - 7.3.2.2.2. By Type
    - 7.3.2.2.3. By Application
- 7.3.3. Italy Social Intelligence Market Outlook
  - 7.3.3.1. Market Size & Forecast
    - 7.3.3.1.1. By Value
  - 7.3.3.2. Market Share & Forecast
    - 7.3.3.2.1. By Organization Size
    - 7.3.3.2.2. By Type
    - 7.3.3.2.3. By Application
- 7.3.4. France Social Intelligence Market Outlook
  - 7.3.4.1. Market Size & Forecast
    - 7.3.4.1.1. By Value
  - 7.3.4.2. Market Share & Forecast
    - 7.3.4.2.1. By Organization Size
    - 7.3.4.2.2. By Type
    - 7.3.4.2.3. By Application
- 7.3.5. Spain Social Intelligence Market Outlook
  - 7.3.5.1. Market Size & Forecast
    - 7.3.5.1.1. By Value
  - 7.3.5.2. Market Share & Forecast
    - 7.3.5.2.1. By Organization Size
    - 7.3.5.2.2. By Type
    - 7.3.5.2.3. By Application

8. Asia-Pacific Social Intelligence Market Outlook

8.1. Market Size & Forecast
- 8.1.1. By Value
8.2. Market Share & Forecast
- 8.2.1. By Organization Size
- 8.2.2. By Type
- 8.2.3. By Application
- 8.2.4. By Country
8.3. Asia-Pacific: Country Analysis
- 8.3.1. China Social Intelligence Market Outlook
  - 8.3.1.1. Market Size & Forecast
    - 8.3.1.1.1. By Value
  - 8.3.1.2. Market Share & Forecast
    - 8.3.1.2.1. By Organization Size
    - 8.3.1.2.2. By Type
    - 8.3.1.2.3. By Application
- 8.3.2. India Social Intelligence Market Outlook
  - 8.3.2.1. Market Size & Forecast
    - 8.3.2.1.1. By Value
  - 8.3.2.2. Market Share & Forecast
    - 8.3.2.2.1. By Organization Size
    - 8.3.2.2.2. By Type
    - 8.3.2.2.3. By Application
- 8.3.3. Japan Social Intelligence Market Outlook
  - 8.3.3.1. Market Size & Forecast
    - 8.3.3.1.1. By Value
  - 8.3.3.2. Market Share & Forecast
    - 8.3.3.2.1. By Organization Size
    - 8.3.3.2.2. By Type
    - 8.3.3.2.3. By Application
- 8.3.4. South Korea Social Intelligence Market Outlook
  - 8.3.4.1. Market Size & Forecast
    - 8.3.4.1.1. By Value
  - 8.3.4.2. Market Share & Forecast
    - 8.3.4.2.1. By Organization Size
    - 8.3.4.2.2. By Type
    - 8.3.4.2.3. By Application
- 8.3.5. Australia Social Intelligence Market Outlook
  - 8.3.5.1. Market Size & Forecast
    - 8.3.5.1.1. By Value
  - 8.3.5.2. Market Share & Forecast
    - 8.3.5.2.1. By Organization Size
    - 8.3.5.2.2. By Type
    - 8.3.5.2.3. By Application

9. South America Social Intelligence Market Outlook

9.1. Market Size & Forecast
- 9.1.1. By Value
9.2. Market Share & Forecast
- 9.2.1. By Organization Size
- 9.2.2. By Type
- 9.2.3. By Application
- 9.2.4. By Country
9.3. South America: Country Analysis
- 9.3.1. Brazil Social Intelligence Market Outlook
  - 9.3.1.1. Market Size & Forecast
    - 9.3.1.1.1. By Value
  - 9.3.1.2. Market Share & Forecast
    - 9.3.1.2.1. By Organization Size
    - 9.3.1.2.2. By Type
    - 9.3.1.2.3. By Application
- 9.3.2. Argentina Social Intelligence Market Outlook
  - 9.3.2.1. Market Size & Forecast
    - 9.3.2.1.1. By Value
  - 9.3.2.2. Market Share & Forecast
    - 9.3.2.2.1. By Organization Size
    - 9.3.2.2.2. By Type
    - 9.3.2.2.3. By Application
- 9.3.3. Colombia Social Intelligence Market Outlook
  - 9.3.3.1. Market Size & Forecast
    - 9.3.3.1.1. By Value
  - 9.3.3.2. Market Share & Forecast
    - 9.3.3.2.1. By Organization Size
    - 9.3.3.2.2. By Type
    - 9.3.3.2.3. By Application

10. Middle East and Africa Social Intelligence Market Outlook

10.1. Market Size & Forecast
- 10.1.1. By Value
10.2. Market Share & Forecast
- 10.2.1. By Organization Size
- 10.2.2. By Type
- 10.2.3. By Application
- 10.2.4. By Country
10.3. Middle East and Africa: Country Analysis
- 10.3.1. South Africa Social Intelligence Market Outlook
  - 10.3.1.1. Market Size & Forecast
    - 10.3.1.1.1. By Value
  - 10.3.1.2. Market Share & Forecast
    - 10.3.1.2.1. By Organization Size
    - 10.3.1.2.2. By Type
    - 10.3.1.2.3. By Application
- 10.3.2. Saudi Arabia Social Intelligence Market Outlook
  - 10.3.2.1. Market Size & Forecast
    - 10.3.2.1.1. By Value
  - 10.3.2.2. Market Share & Forecast
    - 10.3.2.2.1. By Organization Size
    - 10.3.2.2.2. By Type
    - 10.3.2.2.3. By Application
- 10.3.3. UAE Social Intelligence Market Outlook
  - 10.3.3.1. Market Size & Forecast
    - 10.3.3.1.1. By Value
  - 10.3.3.2. Market Share & Forecast
    - 10.3.3.2.1. By Organization Size
    - 10.3.3.2.2. By Type
    - 10.3.3.2.3. By Application
- 10.3.4. Kuwait Social Intelligence Market Outlook
  - 10.3.4.1. Market Size & Forecast
    - 10.3.4.1.1. By Value
  - 10.3.4.2. Market Share & Forecast
    - 10.3.4.2.1. By Organization Size
    - 10.3.4.2.2. By Type
    - 10.3.4.2.3. By Application
- 10.3.5. Turkey Social Intelligence Market Outlook
  - 10.3.5.1. Market Size & Forecast
    - 10.3.5.1.1. By Value
  - 10.3.5.2. Market Share & Forecast
    - 10.3.5.2.1. By Organization Size
    - 10.3.5.2.2. By Type
    - 10.3.5.2.3. By Application

11. Market Dynamics

11.1. Drivers
11.2. Challenges

12. Market Trends & Developments

13. Company Profiles

13.1. IBM Corporation
- 13.1.1. Business Overview
- 13.1.2. Key Revenue and Financials
- 13.1.3. Recent Developments
- 13.1.4. Key Personnel/Key Contact Person
- 13.1.5. Key Product/Services Offered
13.2. NVIDIA Corporation
- 13.2.1. Business Overview
- 13.2.2. Key Revenue and Financials
- 13.2.3. Recent Developments
- 13.2.4. Key Personnel/Key Contact Person
- 13.2.5. Key Product/Services Offered
13.3. Microsoft Corporation
- 13.3.1. Business Overview
- 13.3.2. Key Revenue and Financials
- 13.3.3. Recent Developments
- 13.3.4. Key Personnel/Key Contact Person
- 13.3.5. Key Product/Services Offered
13.4. SAP SE
- 13.4.1. Business Overview
- 13.4.2. Key Revenue and Financials
- 13.4.3. Recent Developments
- 13.4.4. Key Personnel/Key Contact Person
- 13.4.5. Key Product/Services Offered
13.5. Oracle Corporation
- 13.5.1. Business Overview
- 13.5.2. Key Revenue and Financials
- 13.5.3. Recent Developments
- 13.5.4. Key Personnel/Key Contact Person
- 13.5.5. Key Product/Services Offered
13.6. Adobe Inc.
- 13.6.1. Business Overview
- 13.6.2. Key Revenue and Financials
- 13.6.3. Recent Developments
- 13.6.4. Key Personnel/Key Contact Person
- 13.6.5. Key Product/Services Offered
13.7. Germin8
- 13.7.1. Business Overview
- 13.7.2. Key Revenue and Financials
- 13.7.3. Recent Developments
- 13.7.4. Key Personnel/Key Contact Person
- 13.7.5. Key Product/Services Offered
13.8. Brandwatch
- 13.8.1. Business Overview
- 13.8.2. Key Revenue and Financials
- 13.8.3. Recent Developments
- 13.8.4. Key Personnel/Key Contact Person
- 13.8.5. Key Product/Services Offered