PUBLISHER: QKS Group | PRODUCT CODE: 1669155
PUBLISHER: QKS Group | PRODUCT CODE: 1669155
This product includes two reports: Market Share and Market Forecast.
QKS Group Reveals that Speech Analytics Market is Projected to Register a CAGR of 32.30% by 2028.
Speech analytics can be broadly categorized into real-time speech analytics and post-call speech analytics based on the time required for audio data analysis. Real-time speech analytics enables analysis during ongoing voice conversations, providing agents with instant actionable data, trends, and metrics to enhance service quality. It also offers insights into customer sentiment, tone, and patterns, guiding agents in real time to improve the customer experience. Post-call speech analytics focuses on learning from concluded conversations, recognizing keywords, and creating personalized text categorization models to inform future customer support processes and strategies. The adoption of predictive analytics using ML algorithms and data enables businesses to forecast outcomes in customer interactions, transcending from reactive to proactive and preventative strategies. Holistic contact center analytics consolidates all interaction data, including voice, text, and email, and provides a comprehensive 360-degree view of customer journeys, offering deeper insights and opportunities for cross-channel optimization.
Quadrant Knowledge Solutions defines speech analytics as a technology that analyzes customer conversations from live or recorded audio data to derive deep insights, trends, and metrics from each conversation. It uses AI technologies such as NLP, speech recognition, and transcription to evaluate agent performance, assess customer experience, and monitor organization-wide strengths and shortcomings in every voice interaction.
QKS Group Reveals that Speech Analytics Market is Projected to Register a CAGR of 12.54% by 2028.
In the realm of speech analytics, organizations leverage this technology to extract actionable data and gain valuable insights from voice calls. The capability extends to handling a diverse spectrum of customer interactions, seamlessly integrating recorded and omnichannel data to enhance the comprehension of customer needs and discern the underlying causes of customer churn and dissatisfaction. This technology enables organizations to conduct comprehensive call evaluations, allowing for end-to-end analysis. Furthermore, it facilitates agent training initiatives, leveraging analytical tools to identify and mitigate risks, ultimately improving the overall effectiveness of customer engagement processes.
The evolution of speech analytics software, initially known as word detection tools or audio mining software, traces its roots to security applications where words and phrases were tracked. Formerly, the technology processed audio and video files using a large vocabulary recognizer, converting speech into text with a moderate accuracy rate while identifying predefined words or phrases. Recent advancements in phonetics-based technology have exponentially improved the accuracy of speech analytics solutions, offering flexibility in mining words, phrases, names, and sentences not previously listed in dictionary databases.