2025-2034 Sentiment Analysis Software Market Outlook: Key Drivers, Emerging Challenges, and Strategic Insights

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What Will the Sentiment Analysis Software Industry Market Size Be by 2025?
In recent times, there has been significant growth in the market size of sentiment analysis software. The market, which stood at $2.53 billion in 2024, is predicted to reach $3 billion by 2025, exhibiting a compound annual growth rate (CAGR) of 18.5%. Factors such as favorable government policies, increased disposable income, heightened awareness of the product's advantages, a surge in web applications, and a rising demand for predictive analytics in sentiment analysis have contributed to the growth experienced in the historical period.

What's the Long-Term Growth Forecast for the Sentiment Analysis Software Market Size Through 2029?
The market size for sentiment analysis software is predicted to witness a significant surge in the coming years, culminating to $5.83 billion by 2029, paced by a compound annual growth rate (CAGR) of 18.1%. Various factors contributing to this anticipated growth during the forecast period include enhancing customer expectations, the necessity for customer experience management (CEM) solutions, increased demand for customer feedback management utilities, and its growing appeal in contemporary businesses. Other catalysts include population expansion and escalated consumption. Key trends likely to emerge within the forecasted span encompass technological progression, innovation, the incorporation of machine learning (ML) and natural language processing (NLP) methodologies, the uptake of sentiment analysis software, a shift towards cloud-based sentiment analysis applications, and extensive utilization of social media platforms.

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What Are the Key Growth Drivers Fueling the Sentiment Analysis Software Market Expansion?
The surge in social media utilization is forecasted to boost the expansion of the sentiment analysis software market. Social media platforms are web-based services or websites that enable users to generate and disseminate content, engage in social networking interactions, and communicate with others. The higher adoption of social media platforms is credited to cultural effects, mobile accessibility, consumption of information and news, as well as brand promotion. Sentiment analysis software can automatically sift through and flag content possessing negative or offensive feelings, hate language, or unsuitable words. This enables social media platforms to uphold a secure and encouraging online atmosphere by empowering them to quickly remove or conceal damaging content. For instance, in January 2024, We Are Social Ltd, a UK-based firm specializing in social media creativity and analytics, reported a 5.6 percent rise in social media user identities over the last year, with an addition of 266 million new users during 2023. Therefore, the amplified adoption of social media platforms is stimulating the expansion of the sentiment analysis software market.

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What Are the Key Trends Driving Sentiment Analysis Software Market Growth?
Prominent players in the sentiment analysis software market are focusing on forming strategic alliances in order to create innovative solutions based on AI, such as AI-backed speech analytics tools designed to boost precision, scalability, and real-time assessment of customer sentiments to yield actionable insights. The AI-backed speech analytics offerings use machine learning algorithms to scrutinize and comprehend massive amounts of textual data, offering invaluable insights into client views, feelings, and outlooks. For instance, Bharti Airtel, a US-based telecommunications service provider, teamed up with NVIDIA, a software corporation based in the US, in February 2024 to create AI-backed speech analytics instruments for customer service improvement. The objective of this partnership is to enhance the comprehensive customer experience for all incoming calls to Airtel's customer service center. The technology was created using NVIDIA's Triton Inference Server, a serving software for multi-framework inference that is compatible with the NVIDIA AI Enterprise software suite, and the NVIDIA's NeMo conversational AI package. This technology assists Airtel in interpreting language accurately and implementing constructive modifications to its operations to serve its agents and customers more effectively, thereby improving the overall customer experience.

How Is the Sentiment Analysis Software Market Segmented?
The sentiment analysis software market covered in this report is segmented -

1) By Type: On-Premises Sentiment Analysis Software, Web-Based Sentiment Analysis Software
2) By Analytical Tool: Text Analytics, Social Media Monitoring, Voice Analytics, Natural language processing (NLP)
3) By Enterprise Size: Small And Medium Size Enterprise, Large Enterprise
4) By End-User: Banking, Financial Services, And Insurance (BFSI), Media And Telecom, Government, Healthcare, Manufacturing, Retail, Other End-Users

Subsegments:
1) By On-Premises Sentiment Analysis Software: Standalone Software, Integrated Software Solutions
2) By Web-Based Sentiment Analysis Software: Cloud-Based Software, SaaS-Based Software

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Which Companies Are Leading the Charge in Sentiment Analysis Software Market Innovation?
Major companies operating in the sentiment analysis software market are International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce.com Inc., Adobe Inc., OpenText Corporation, SAS Institute Inc., Brandwatch Limited, Talkwalker Inc., Meltwater US Inc., QuestionPro Inc., Clarabridge Inc., Bitext Innovations S.L., Aylien Ltd., NetOwl LLC, MonkeyLearn Inc., Reputation Refinery LLC, DatumBox Inc., Voci Technologies Inc., Keatext Inc., Lexalytics Inc., Angoss Software Corporation, MeaningCloud LLC

Which Regions Are Leading the Global Sentiment Analysis Software Market in Revenue?
North America was the largest region in the sentiment analysis software market in 2024. The regions covered in the sentiment analysis software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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