Text Analytics Market Size

Text Analytics Market Analysis

The Text Analytics Market size is estimated at USD 10.49 billion in 2024, and is expected to reach USD 56.24 billion by 2029, growing at a CAGR of 39.90% during the forecast period (2024-2029).

Many cloud-based applications use text analytics, including predictive analytics, fraud management, risk management, business intelligence, and cybercrime prevention.

• Organizations increasingly use text analytics tools to aid their business-making process by offering actionable insights from various text sources, such as client interaction, e-mails, blogs, product reviews, tweets, and center logs. The main purpose of text analytics is to collect data from different forms of data, including unstructured and structured, which are further utilized for analysis, benefitting the organization's business decisions and driving the market.
• Text analytics's primary benefits include cost reduction, enhanced processing speed, integration of big data, and better consistency. The generation of unstructured data through users' tweets and e-mails is becoming increasingly popular due to the digitalization of buying. This information is bundled by organizations to understand consumer behavior toward the company and its products, which adds value to the firm's growth.
• According to Mongo DB, a Data management service provider, unstructured data makes up between 80% and 90% of the data that enterprises generate and gather, and its volumes are expanding quickly. Data comes in various formats, from numeric, structured data in traditional databases to unstructured text documents, such as videos, audio, e-mails, stock ticker data, and financial transactions. These data can be used for text analysis to give valuable insights to organizations, which will drive the market worldwide.
• Gold-standard data are rarely available in industrial settings, which furthers the challenges in evaluating the effectiveness of the developed TA techniques. Evaluating the results of TA techniques can be particularly difficult due to the subjectivity inherent in some applications, such as sentiment analysis, text classification, and text clustering, which is a challenge to the Text Analysis Market growth.
• Moreover, several leading players are focusing on introducing new text analytics platforms to gain a competitive advantage in the market. For instance, in November 2022, the Australian Text Analytics Platform (ATAP) was launched to provide an open-source platform of tools and training for researchers to process, analyze, and explore text. Australian researchers will get access to an ecosystem of data and code repositories, scripts, online workspaces, and training in text analytics.
• The rising demand for machine learning and big data analytics is expected to propel the text analytics market across the globe. COVID-19 has had a positive impact on the market because it has increased the demand for text analytics further as people continue to work from home and heavily use social media platforms and e-mails to interact with brands.