Global Sentiments Analytics Market
Market Size in USD Billion
CAGR :
% 
USD
3.39 Billion
USD
105.37 Billion
2025
2033
 Forecast Period |
2026 –2033 |
 Market Size (Base Year) |
USD 3.39 Billion |
 Market Size (Forecast Year) |
USD 105.37 Billion |
 CAGR |
% |
| Major Markets Players |
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What is the Global Sentiments Analytics Market Size and Growth Rate?
- The global sentiments analytics market size was valued at USD 3.39 billion in 2025 and is expected to reach USD 105.37 billion by 2033, at a CAGR of 15.20% during the forecast period
- Rising major developments in the field of predictive analytics is a crucial factor accelerating the market growth, also rising number of businesses are engaging on social media platforms to know their customers' sentiments, which in turn increases the product demand, rising competition among businesses, rising adoption of sentiment analytics solution by small and big enterprises, rising rapid digitalisation and rising brand awareness and image in developing countries are the major factors among others boosting the sentiments analytics market
What are the Major Takeaways of Sentiments Analytics Market?
- Increasing technological advancements and modernization in the software, rising research and development activities and rising demand from the emerging economies will further create new opportunities for sentiments analytics market in the forecast period mentioned above
- However, rising lack of awareness among the consumers is the major factor among others restraining the market growth, and will further challenge the sentiments analytics market in the forecast period mentioned above
- North America dominated the sentiment analytics market with a 42.47% revenue share in 2025, driven by strong adoption of AI, machine learning, natural language processing (NLP), and big data analytics across the U.S. and Canada
- Asia-Pacific is projected to register the fastest CAGR of 8.21% from 2026 to 2033, driven by rapid digitalization, expanding internet penetration, growth of e-commerce platforms, and rising adoption of AI technologies across China, Japan, India, South Korea, and Southeast Asia
- The Sentiment Solutions segment dominated the market with a 62.4% share in 2025, driven by widespread adoption of AI-powered software platforms for text analytics, emotion detection, speech analytics, and social media sentiment monitoring
Report Scope and Sentiments Analytics Market Segmentation
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Attributes |
Sentiments Analytics Key Market Insights |
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Segments Covered |
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Countries Covered |
North America
Europe
Asia-Pacific
Middle East and Africa
South America
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Key Market Players |
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Market Opportunities |
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Value Added Data Infosets |
In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include in-depth expert analysis, pricing analysis, brand share analysis, consumer survey, demography analysis, supply chain analysis, value chain analysis, raw material/consumables overview, vendor selection criteria, PESTLE Analysis, Porter Analysis, and regulatory framework. |
What is the Key Trend in the Sentiments Analytics Market?
Increasing Shift Toward AI-Driven, Real-Time, and Cloud-Based Sentiments Analytics Solutions
- The sentiments analytics market is witnessing strong adoption of AI-powered, cloud-native, and real-time analytics platforms designed to analyze customer emotions, opinions, and behavioral signals across text, voice, video, and social media data
- Vendors are increasingly integrating advanced NLP, machine learning, deep learning, and generative AI models to deliver higher accuracy, contextual understanding, and multilingual sentiment detection
- Growing demand for scalable, cost-efficient, and API-based analytics tools is driving adoption across enterprises, contact centers, marketing teams, financial institutions, and public sector organizations
- For instance, companies such as IBM, Microsoft, SAP, SAS, and Appen are enhancing sentiment platforms with real-time dashboards, emotion AI, speech-to-text analytics, and cloud-based deployment
- Rising need for instant customer feedback analysis, brand monitoring, and personalized engagement is accelerating the shift toward integrated sentiment analytics within CRM and CX platforms
- As digital interactions continue to grow, Sentiments Analytics remains critical for real-time decision-making, customer experience optimization, and business intelligence
What are the Key Drivers of Sentiments Analytics Market?
- Rising demand for data-driven customer insights to improve marketing effectiveness, customer retention, and brand reputation management
- For instance, during 2024–2025, leading players such as SAP, Microsoft, IBM, and SAS Institute expanded sentiment analytics capabilities across cloud, AI, and enterprise analytics portfolios
- Rapid growth of social media, e-commerce, digital banking, and omnichannel customer engagement platforms is increasing the volume of unstructured data requiring sentiment analysis
- Advancements in natural language processing, emotion recognition, speech analytics, and multilingual AI models have significantly improved sentiment detection accuracy
- Increasing adoption of AI-powered chatbots, virtual assistants, and voice-of-customer platforms is creating sustained demand for embedded sentiment analytics
- Supported by rising investments in AI, big data, and cloud analytics infrastructure, the Sentiments Analytics market is expected to witness robust long-term growth
Which Factor is Challenging the Growth of the Sentiments Analytics Market?
- High implementation costs associated with advanced AI models, enterprise-grade platforms, and large-scale data processing limit adoption among SMEs and emerging businesses
- For instance, during 2024–2025, rising cloud computing costs, AI model training expenses, and data compliance requirements increased operational challenges for vendors
- Complexity in analyzing sarcasm, multilingual content, cultural nuances, and mixed emotions affects sentiment accuracy and model reliability
- Data privacy regulations such as GDPR, CCPA, and regional data protection laws restrict unrestricted access to customer data
- Competition from open-source NLP tools, in-house analytics models, and generic BI platforms creates pricing pressure and differentiation challenges
- To overcome these challenges, companies are focusing on explainable AI, privacy-compliant analytics, domain-specific models, and seamless platform integration to expand global adoption of sentiments analytics
How is the Sentiments Analytics Market Segmented?
The market is segmented on the basis of component, deployment mode, enterprise size, and industry vertical.
- By Component
On the basis of component, the sentiments analytics market is segmented into Sentiment Solutions and Services. The Sentiment Solutions segment dominated the market with a 62.4% share in 2025, driven by widespread adoption of AI-powered software platforms for text analytics, emotion detection, speech analytics, and social media sentiment monitoring. Enterprises increasingly deploy sentiment solutions to analyze customer feedback, brand perception, and real-time consumer behavior across digital channels. These platforms offer scalability, automation, multilingual support, and seamless integration with CRM and business intelligence tools, making them essential for large-scale analytics.
The Services segment is expected to grow at the fastest CAGR from 2026 to 2033, supported by rising demand for consulting, system integration, customization, training, and managed analytics services. Increasing complexity of AI models and data compliance requirements is further accelerating demand for professional and managed services.
- By Deployment Mode
On the basis of deployment mode, the sentiments analytics market is segmented into Cloud-Based and On-Premises solutions. The Cloud-Based segment dominated the market with a 69.1% share in 2025, owing to its scalability, cost efficiency, faster deployment, and ability to process large volumes of unstructured data in real time. Cloud platforms enable continuous model updates, advanced AI capabilities, and seamless integration with enterprise applications, making them the preferred choice for global organizations.
The On-Premises segment is projected to grow steadily, particularly among BFSI, healthcare, and government organizations that require enhanced data security, regulatory compliance, and full control over sensitive customer information. However, the fastest growth remains concentrated in cloud-based deployments due to expanding SaaS adoption and digital transformation initiatives worldwide.
- By Enterprise Size
On the basis of enterprise size, the market is segmented into Large Enterprises and Small & Medium Enterprises (SMEs). The Large Enterprises segment held the largest share at 58.7% in 2025, driven by high data volumes, complex customer engagement strategies, and strong investments in AI-driven analytics platforms. Large organizations leverage sentiment analytics for brand monitoring, customer experience optimization, risk management, and strategic decision-making across global operations.
The SMEs segment is expected to register the fastest CAGR from 2026 to 2033, supported by increasing availability of affordable, cloud-based, subscription-driven sentiment analytics solutions. Growing awareness of data-driven marketing, social media analytics, and customer insights is accelerating adoption among startups and mid-sized businesses.
- By Industry Vertical
On the basis of industry vertical, the sentiments analytics market is segmented into BFSI, Retail, Healthcare and Life Sciences, Education, Media and Entertainment, Transportation and Logistics, and Others. The Retail segment dominated the market with a 24.6% share in 2025, driven by extensive use of sentiment analytics for customer feedback analysis, brand reputation monitoring, personalized marketing, and demand forecasting across e-commerce and omnichannel platforms.
The BFSI segment is expected to grow at the fastest CAGR from 2026 to 2033, supported by rising adoption of sentiment analytics for fraud detection, customer risk profiling, voice-of-customer analysis, and compliance monitoring. Increasing digital banking adoption and AI-driven customer engagement strategies continue to fuel growth across BFSI institutions.
Which Region Holds the Largest Share of the Sentiments Analytics Market?
- North America dominated the sentiment analytics market with a 42.47% revenue share in 2025, driven by strong adoption of AI, machine learning, natural language processing (NLP), and big data analytics across the U.S. and Canada. High usage of sentiment analytics platforms across social media monitoring, customer experience management, brand intelligence, and market research continues to fuel demand across BFSI, retail, healthcare, media, and government sectors
- Leading companies in North America are introducing advanced sentiment analytics solutions with real-time data processing, multilingual text analytics, emotion detection, and cloud-based dashboards, strengthening the region’s technological leadership. Continuous investment in generative AI, conversational AI, and enterprise analytics platforms supports long-term market expansion
- High concentration of AI talent, strong startup ecosystems, mature digital infrastructure, and sustained investments in data-driven decision-making further reinforce regional market dominance
U.S. Sentiment Analytics Market Insight
The U.S. is the largest contributor in North America, supported by rapid adoption of AI-driven customer intelligence tools, widespread social media usage, and strong demand for real-time sentiment monitoring across marketing, political analysis, and enterprise feedback systems. Increasing use of sentiment analytics in contact centers, e-commerce platforms, and brand reputation management intensifies demand for advanced NLP and emotion detection solutions. Presence of major AI vendors, cloud service providers, and data analytics startups further accelerates market growth.
Canada Sentiment Analytics Market Insight
Canada contributes significantly to regional growth, driven by expanding AI research hubs, rising adoption of data analytics across enterprises, and increasing focus on customer experience optimization. Organizations increasingly deploy sentiment analytics for social listening, public opinion tracking, and service quality improvement. Government-backed AI initiatives, skilled workforce availability, and growing digital transformation strengthen market adoption across the country.
Asia-Pacific Sentiment Analytics Market
Asia-Pacific is projected to register the fastest CAGR of 8.21% from 2026 to 2033, driven by rapid digitalization, expanding internet penetration, growth of e-commerce platforms, and rising adoption of AI technologies across China, Japan, India, South Korea, and Southeast Asia. High volumes of social media data, online reviews, and digital interactions increase demand for scalable sentiment analytics solutions. Growth in smart cities, digital governance, and enterprise analytics continues to accelerate market expansion.
China Sentiment Analytics Market Insight
China is the largest contributor to Asia-Pacific due to massive digital user bases, strong AI investments, and widespread use of sentiment analytics across social media monitoring, public opinion analysis, and brand management. Rising deployment of AI-driven text and speech analytics, supported by strong domestic technology players, drives market adoption.
Japan Sentiment Analytics Market Insight
Japan shows steady growth supported by advanced IT infrastructure, high enterprise technology adoption, and increasing focus on customer satisfaction analytics. Strong demand from retail, automotive, and telecom sectors for accurate sentiment interpretation supports adoption of premium analytics platforms.
India Sentiment Analytics Market Insight
India is emerging as a major growth hub, driven by rapid digital transformation, expanding social media usage, and increasing adoption of analytics in marketing, BFSI, and e-governance. Growing startup activity, cloud adoption, and AI talent availability further accelerate sentiment analytics deployment.
South Korea Sentiment Analytics Market Insight
South Korea contributes significantly due to high digital engagement, strong AI innovation, and widespread use of analytics in media, entertainment, and consumer electronics industries. Advanced data infrastructure, growing enterprise analytics adoption, and innovation-friendly ecosystems support sustained market growth.
Which are the Top Companies in Sentiments Analytics Market?
The sentiments analytics industry is primarily led by well-established companies, including:
- Affectiva (U.S.)
- Kairos AR, Inc. (U.S.)
- Cogito Corp (U.S.)
- Noldus Information Technology bv (Netherlands)
- Tobii AB (Sweden)
- Sentiance (Belgium)
- NVISO SA (Switzerland)
- Lexalytics (U.S.)
- Sensum Co. (U.S.)
- IBM Corporation (U.S.)
- Microsoft (U.S.)
- Adoreboard (U.K.)
- LIGHTSPEED LLC (U.S.)
- Clarabridge (U.S.)
- Beyond Verbal (Israel)
- Eyeris (Israel)
- SAP (Germany)
- SAS Institute Inc. (U.S.)
- Appen Limited (Australia)
What are the Recent Developments in Global Sentiments Analytics Market?
- In January 2026, Guavy launched an AI-native API platform designed to deliver real-time cryptocurrency market intelligence for developers and investment funds. The platform offers sentiment analytics, trend indicators, and news coverage across more than 350 digital assets through a streamlined REST API. CEO Donna Tilden highlighted that the solution provides structured, machine-readable intelligence to power trading bots and AI-driven strategies, positioning Guavy as a foundational data layer for algorithmic trading. This launch strengthens Guavy’s role in enabling data-centric decision-making within AI-powered crypto trading ecosystems
- In November 2025, Freshworks Inc. announced significant updates to Freshdesk to improve customer experience efficiency and operational productivity. The enhancements include the Freshdesk Command Center for centralized customer engagement, Vertical AI Agents tailored to industry-specific workflows, and Freddy AI Insights for real-time monitoring of support trends. According to Chief Product Officer Srini Raghavan, these innovations are designed to reduce repetitive tasks and streamline service delivery. These updates reinforce Freshworks’ focus on AI-led CX transformation and scalable enterprise support solutions
- In February 2025, Permutable AI introduced Market 360, a market sentiment visualization platform developed for hedge funds and institutional traders. The tool leverages large language models and dynamic heatmaps to provide a consolidated view of commodity and FX markets, updating every 15 minutes. CEO Wilson Chan noted that Market 360 reveals critical correlations, such as the effects of U.S. dollar fluctuations on commodities, supporting risk management and alpha generation. This product launch enhances analytical depth for institutional investors seeking real-time, sentiment-driven market insights
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Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
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