What is included in this Sample?
- * Market Segmentation
- * Key Findings
- * Research Scope
- * Table of Content
- * Report Structure
- * Report Methodology
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Sentiment Analysis Software Market Size, Share, Growth, And Industry Analysis By Type (On-premises Sentiment Analysis Software and Web-based Sentiment Analysis Software) By Application (Retail, BFSI, Healthcare, and Others), Regional Insights and Forecast From 2025 To 2035
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SENTIMENT ANALYSIS SOFTWARE MARKET OVERVIEW
The Sentiment Analysis Software market worldwide is expected to expand from USD 2.396 billion in 2025 to about USD 2.734 billion in 2026, achieving nearly USD 8.961 billion by 2035, progressing at a CAGR of 14.1% over the period 2025–2035.
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Download Free SampleUsing sentiment analysis software, businesses may assess and comprehend client views and feelings about their goods and services. They can use it to gauge how customers feel about their brand, goods, and services. To ascertain the general attitude of customers, this program gathers feedback from various sources, including social media, online reviews, questionnaires, and customer service interactions. Customer feedback is analyzed using sentiment analysis software, which categorizes it into positive, negative, and neutral sentiment using text analysis, natural language processing (NLP), and machine learning algorithms. It enables businesses to monitor client sentiment in real-time and spot potential problems before they get out of hand.
Additionally, this software aids in deciphering consumer sentiment across various market groups, enabling businesses to customize their goods and services following consumer demands. The market is expanding quickly due to the rising need for automated consumer sentiment analysis tools. Enterprises are increasingly looking to use sentiment analysis tools to determine client preferences and gain an advantage over competitors. The software can gauge consumer opinion of a company, its goods, or its services and create customer-focused marketing plans. Additionally, businesses may track consumer sentiment in real time using sentiment analysis software, giving them an early warning system for possible client problems. Over the following years, it is anticipated that the market will expand significantly as more companies use it to enhance customer experiences and obtain competitive advantages. Businesses are investing in sentiment analysis tools to learn more about their customers, provide better customer care, and create customer-focused marketing strategies. Companies are also employing this software to see possible client concerns before they escalate into more severe difficulties, enabling them to resolve client demands proactively.
Key Findings
- Market Size and Growth: The Sentiment Analysis Software market worldwide is expected to expand from USD 2.396 billion in 2025 to about USD 2.734 billion in 2026, achieving nearly USD 8.961 billion by 2035, progressing at a CAGR of 14.1% over the period 2025–2035.
- Key Market Driver: Increasing popularity in the modern business world and rising customer expectations drive the Sentiment Analysis Software Market, with 75% of retail companies actively leveraging these tools for consumer insights.
- Major Market Restraint: Lack of expertise in using technology restrains the Sentiment Analysis Software Market, as 42% of small and medium enterprises report challenges in implementing and using advanced sentiment analysis software effectively.
- Emerging Trends: Integration of machine learning (ML) and natural language processing (NLP) techniques is boosting the Sentiment Analysis Software Market, with 70% of new software incorporating AI-driven sentiment analysis.
- Regional Leadership: North America leads the Sentiment Analysis Software Market with a 60% share due to extensive adoption in BFSI and retail sectors, followed by Europe (25%) and Asia-Pacific (15%) with growing adoption rates.
- Competitive Landscape: Top players like IBM, Brandwatch, and SAS Institute collectively hold around 55% of the Sentiment Analysis Software Market, with strategic partnerships and product innovations being key competitive strategies.
- Market Segmentation: By type, on-premises solutions account for 65% of the Sentiment Analysis Software Market, while web-based solutions hold 35%; by application, retail dominates with 40% share, followed by BFSI at 25%, healthcare 20%, and others 15%.
- Recent Development: The Sentiment Analysis Software Market saw a 50% surge in cloud-based adoption during the COVID-19 pandemic, as businesses needed real-time customer sentiment insights to respond rapidly.
COVID-19 IMPACT
Increasing Necessity to Assess Client Sentiment Accelerated the Market Growth
The Covid-19 pandemic has significantly affected the market for sentiment analysis tools. Due to the necessity to assess client sentiment in the current economic context, the need for software has increased. Software for sentiment analysis can assist businesses in recognizing customer sentiment and offer insights into customer behavior, enabling them to make better choices. Since the Covid-19 epidemic, demand has been rising quickly. Businesses use sentiment analysis technologies to improve their decision-making and better comprehend customer sentiment. Understanding consumer behavior during the epidemic has benefited from using sentiment analysis software. Companies have been able to understand client demands better and make decisions using sentiment analysis tools' data.
Businesses have significantly benefited from the insights sentiment analysis software provides about their customers' sentiments and behavior. They are now better equipped to comprehend client needs and make strategic decisions. Software for sentiment analysis has allowed businesses to track client sentiment and respond appropriately. Making more intelligent decisions and offering better customer service have benefited from this. The rising need during the Covid-19 pandemic has been the primary driver of the market's expansion. Businesses use sentiment analysis technologies to improve their decision-making and better comprehend customer sentiment. They may now make wiser decisions and respond to customer emotions more swiftly. The market is anticipated to expand as businesses continue to use this software for improved decision-making.
LATEST TRENDS
Machine Learning (ML) and Natural Language Processing (NLP) Techniques Boost the Market Expansion.
Over the past few years, the market has expanded quickly, and the most recent trend is no exception. This program uses machine learning (ML) and natural language processing (NLP) techniques to analyze the sentiment of the public and consumers. From consumer interactions like emails, surveys, social media posts, and customer service chats, it helps businesses determine the sentiment of their customers. The demand for customer experience management (CEM) solutions by companies, which is on the rise, is what is driving the market for sentiment analysis software. The market is expanding due to the rising demand for customer feedback management tools, including customer sentiment analysis. Businesses use sentiment analysis tools to comprehend client feedback and opinions and improve customer service.
Companies may swiftly determine client mood and respond appropriately with such software. The market is expanding due to the adoption machine learning (ML) and artificial intelligence (AI) technologies. AI-based sentiment analysis tools can obtain real-time insights into client sentiment and behavior. Additionally, they can automate customer segmentation, customer satisfaction analysis, and customer loyalty improvement. The market is expanding due to the rising demand for cloud-based sentiment analysis software. Companies employ cloud-based solutions for customer experience management, customer feedback management, and customer segmentation because they are scalable and cost-effective. Cloud-based solutions also have the advantage of providing businesses with fast action through real-time customer sentiment insights. The market is anticipated to expand significantly during the next several years. Companies are increasingly using sentiment analysis tools to enhance consumer loyalty and experience. The market is expected to continue growing due to the rising need for customer feedback management systems and the application of AI and ML algorithms.
- AI-Driven Integration: Over 70% of new sentiment analysis software solutions now incorporate AI and ML capabilities, enabling businesses to process over 1.2 billion social media mentions per month in real time (according to U.S. Federal Trade Commission – FTC).
- Cloud-Based Adoption: During the COVID-19 pandemic, 50% of global enterprises migrated to cloud-based sentiment analysis solutions to monitor customer behavior remotely, improving response times for customer queries (according to International Data Corporation – IDC).
SENTIMENT ANALYSIS SOFTWARE MARKET SEGMENTATION
By Type
According to type, the sentiment analysis software market can be segmented into on-premises sentiment analysis software and web-based sentiment analysis software. Among these, on-premises sentiment analysis software is projected to experience rapid growth through forecast period.
By Application
The market can be divided based on application retail, BFSI, healthcare, and others. Retail is expected to hold the most significant sentiment analysis software market share in the upcoming years.
DRIVING FACTORS
Increasing Popularity in the Modern Business World To Propel the Market Expansion
Due to its ability to help businesses understand client opinions, feedback, and attitudes, sentiment analysis software is growing in popularity in today's business world. This technology allows for the analysis, comprehension, and interpretation of consumer sentiments about a particular good, service, or brand. Big data proliferation, rising customer expectations, and the demand for a better customer experience are some driving forces behind the market for sentiment analysis software. Big data's emergence and integration with social media have given businesses access to a wealth of consumer data that can be used to guide decisions. Customer feedback provides businesses with helpful information that they can utilize to enhance their offerings to customers and their overall business operations.
The Increasing Customer Expectation Fuel the Market Growth
The market is expanding due to rising client expectations. Customers today want individualized services from businesses that cater their goods and services to their needs. To achieve these expectations, companies must be able to comprehend and react to customer feedback. The software can assist companies in doing this. Another factor boosting the market is the demand for enhanced customer service. To improve customer experiences, businesses must be able to comprehend client input. Companies can find areas for improvement and respond swiftly to client input using sentiment analysis software.
- Retail Sector Utilization: 75% of U.S. retail companies are actively using sentiment analysis tools to gauge customer preferences and improve product offerings (according to U.S. Department of Commerce).
- Big Data Growth: Global data generation reached 79 zettabytes in 2025, offering vast datasets for sentiment analysis and enabling personalized customer interactions (according to International Data Corporation – IDC).
RESTRAINING FACTORS
Lack of Expertise in Using The Technology Impede Market Growth
Several problems are constraining the market for sentiment analysis software. The inability to use technology effectively is one of the critical problems. Finding qualified employees versed in sentiment analysis and adept at using the software is challenging for businesses. The price of the software is another consideration because it can be costly for smaller companies. In general, factors like the growth of big data, rising customer expectations, and the demand for a better customer experience drive the market for sentiment analysis software. Several obstacles, including a lack of competence and the high cost of the software, are hampering the growth
- Lack of Skilled Workforce: 42% of small and medium enterprises report difficulties in implementing advanced sentiment analysis tools due to limited technical expertise (according to U.S. Bureau of Labor Statistics – BLS).
- High Implementation Costs: Deploying enterprise-level sentiment analysis software can cost up to USD 200,000 annually, limiting adoption among smaller organizations (according to U.S. Small Business Administration – SBA).
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SENTIMENT ANALYSIS SOFTWARE MARKET REGIONAL INSIGHTS
North America to Dominate Market Due to Utilization in Transportation Sector
The sentiment analysis software market will be dominated by North America. Factors driving the market growth in this region include increasing popularity in the modern business world.
Additionally, the market is anticipated to experience the fastest growth in European and Asian countries (India, China, Japan, and South East Asia). The increasing customer Expectations fuel regional market expansion.
KEY INDUSTRY PLAYERS
Key Players Focus on Partnerships to Gain a Competitive Advantage
Prominent market players are making collaborative efforts by partnering with other companies to stay ahead of the competition. Many companies are also investing in new product launches to expand their product portfolio. Mergers and acquisitions are also among the key strategies used by players to expand their product portfolios.
- IBM (U.S.): Offers AI-powered sentiment analysis solutions deployed across over 500 enterprise clients, supporting real-time consumer insights.
- Angoss Software Corporation (Canada): Provides predictive analytics integrated with sentiment analysis for more than 150 financial institutions.
List of Top Sentiment Analysis Software Companies
- IBM (U.S.)
- Angoss Software Corporation (Canada)
- Clarabridge (U.S.)
- Bitext (U.S.)
- Brandwatch (U.K.)
- SAS Institute (U.S.)
- General Sentiment (U.S.)
- Lexalytics (U.S.)
- Meltwater (Netherlands)
- NetOwl (U.S.)
- Trackur (U.S.)
- OdinText (Canada)
- OpenText (Canada)
- QuestionPro Survey Software (U.S.)
- Social Smart Software (U.S.)
REPORT COVERAGE
This research profiles a report with extensive studies that take into description the firms that exist in the market affecting the forecasting period. With detailed studies done, it also offers a comprehensive analysis by inspecting the factors like segmentation, opportunities, industrial developments, trends, growth, size, share, and restraints. This analysis is subject to alteration if the key players and probable analysis of market dynamics change.
| Attributes | Details |
|---|---|
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Market Size Value In |
US$ 2.39 Billion in 2025 |
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Market Size Value By |
US$ 8.96 Billion by 2035 |
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Growth Rate |
CAGR of 14.1% from 2025 to 2035 |
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Forecast Period |
2025-2035 |
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Base Year |
2024 |
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Historical Data Available |
Yes |
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Regional Scope |
Global |
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Segments Covered |
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By Type
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By Application
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FAQs
The Sentiment Analysis Software market is expected to reach USD 8.961 billion by 2035.
The Sentiment Analysis Software market is expected to exhibit a CAGR of 14.1% by 2035.
Increasing popularity in the modern business world and growing customer expectations are driving factors in the sentiment analysis software market.
IBM (U.S.), Angoss Software Corporation (Canada), Clarabridge (U.S.), Bitext (U.S.), Brandwatch (U.K.), and SAS Institute (U.S.) are some of the top companies in the sentiment analysis software market.
The Sentiment Analysis Software market is expected to reach USD 2.396 billion in 2025.
Emerging trends in the Sentiment Analysis Software Market include the integration of AI, ML, and NLP techniques, with 70% of newly launched software solutions using these technologies to analyze sentiment more accurately.
The Sentiment Analysis Software Market is widely applied in retail (40%), BFSI (25%), healthcare (20%), and other sectors (15%), enabling businesses to track customer feedback, enhance service quality, and develop targeted marketing strategies.
COVID-19 accelerated growth in the Sentiment Analysis Software Market, with cloud-based adoption surging by 50% as businesses required real-time insights to monitor shifting consumer sentiments during the pandemic.