Speech Analytics Market Size by Component, Application, Deployment Mode, Organization Size, End-User, Region – Revenue Pool Analysis, Margin Structure Assessment, Capital Flow Trends, Competitive Benchmarking & Forecast to 2030
Overview
Speech Analytics Market was valued at USD 2.78 Bn in 2023 and is expected to reached at USD 10.71 Bn in 2030. Speech Analytics Market size is expected to grow at a CAGR of 21.2% through the forecast period.
Speech Analytics Market Overview:
Contact centers use speech analytics to assess call recordings and transcripts from digital channels such as chat and text messages. Speech analytics helps to collect customer information to improve communication and future interaction. Speech analytics in contact centers can be used to record customer interactions to surface the intelligence essential for building effective cost containment and customer service strategies. This technology can identify cost drivers, trend analysis, identify strengths and weaknesses with processes and commodities, and helps to understand how the marketplace perceives contributions. The process is primarily used by customer contact centers to extract information buried in client interactions with an enterprise.
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Speech analytics software translates any conversation and organizes it into searchable, structured data that can be used to gain a better understanding of how customers think and feel. Speech analytics is a tool often used to see what is truly happening throughout the customer experience and create actionable insights to correct problems and improve customer relationships.
The report explores the Speech Analytics Market segments (By Component, By Application, By Deployment mode, By Organization Size, By End-Users and Region). Data has been provided by market participants, and regions (North America, Asia Pacific, Europe, Middle East & Africa, and South America). The MMR market report provides a thorough analysis of the rapid advances that are currently taking place across all industry sectors. Facts and figures, illustrations, and presentations are used to provide key data analysis for the historical period from 2018 to 2023. The report investigates the Speech Analytics Market drivers, limitations, prospects, and barriers. This MMR report includes investor recommendations based on a thorough examination of the Speech Analytics Market contemporary competitive scenario.
Speech Analytics Market Dynamics:
Market Drivers:
The factors such as focus on higher customer satisfaction, an increasing need for speech analytics solutions from the Business Process Outsourcing (BPO) sector and rising significance of real-time speech analytics will drive the growth of the Speech Analytics Market. With speech technology which is integrated with phone banking, helps bank can enable natural, human-like conversations and satisfying interactions with customers.
For enhancing their mobile banking services, banking companies focus on innovation. Previously, they were dependent on processes, such as password verification, One-Time Passwords (OTPs), and security questions, which were time-consuming and less user-friendly. However, this scenario is now changing. Banks have now realized the importance of increasing security and enhancing user experience by integrating voice recognition technology in mobile applications. Thus, the growing demand for voice authentication in mobile banking applications are boosting the growth of the Speech Analytics Market.
Market Restraints:
Integration with existing systems and selection of the right approach and difficult to quantify Return on Investment (RoI) are restraining factors that would affect the growth of the market during the forecast period. Concerns regarding data privacy and security are also the restraining factors which affects the growth of the Speech Analytics Market. Since these devices can listen to private conversations, there is always a possibility that the data can be tracked by manufacturers, online sites, and hackers.
The audio data and the related text transcripts may be considered personal data and/or sensitive data under various privacy regulations and laws because it contains not only the voice of humans, but the content of the audio may also contain personal information depending on the context within which the audio was collected. There have been several instances of privacy breaches in the past, and a proper law and privacy control protocol needs to be implemented. Due to the sensitive nature of the conversations, it is important to meet high-security level requirements for the clients. The lack of any means to safeguard the privacy of users can hamper the adoption of speech analytics solutions.
Market Opportunities:
The rising demand for risk management solutions and cloud analytics is also anticipated to favorably impact growth over the next nine years. These solutions offer several growth opportunities as this solution helps optimize performance and enhance customer experience. Use of AI- and ML-based technologies to facilitate real-time actionable customer insights are the opportunities for the growth of Speech Analytics Market.
Emerging technologies such as AI and ML offer real-time insights with an in-built automation process. Speech analytics solutions with AI technology can automatically capture the complete agent-customer interaction and offer hidden insights and opportunities, leading to optimized outcomes. As it offers high-level views and drill-down to details, Speech analytics makes the identification of actionable insights possible through high volume discovery. Once the customer interactions are captured and analyzed, the real-time speech analytics provides the next best actionable guidance message to agents which leads to improved operational efficiency. This the opportunity which helps for the growth of the Speech Analytics Market.
Market Challenges:
The issues pertaining to lack of awareness and rise in cost may pose a challenge to the speech analytics market growth in the near future. Complex data ecosystem leading to data breaches and security issues is the biggest challenge which is faced by the Speech Analytics Market. Data consolidation helps to transform the gathered data into a single format which also simplifies the decision-making process for companies. Data exchanges and data ecosystems deliver the tools to analyze the collected data at a centralized location and helps to extract and cross-check business-critical components.
The development of data exchanges and data ecosystems varies based on the assumptions made on the value of the data for each customer segment. However, since centralized data is more prone to cyberattacks, data exchange is a major concern for data-sensitive organizations in industry verticals such as BFSI and healthcare, which deal with individual data. Enterprises must also ensure the security of data outsourced to a third-party BI vendor for analysis. However, with companies increasingly adopting data security solutions, consumer data security is not expected to be a major issue for long.
Recent Developments:
• In January 2021, Pegasystems Inc, a US-based firm in India, acquired real-time speech analytics solutions company Qurious. io. Qurious.io uses speech-to-text, natural language processing (NLP), and emotion detection capabilities for analysis of the conversations during the engagement with customers.
• In February 2020, Ozonetel launched an AI-powered Speech Analytics Dashboard for Call Centers. This new tool from Ozonetel would allow call center managers to track and analyze ongoing calls in real-time.
• In September 2021, Google Cloud announced the strategic partnership with Scotiabank to deepen the bank cloud-first commitment and accelerate the global data and analytics strategy Google Cloud will help create a more personal and predictive banking experience for Scotiabank customers in the Americas and across the globe.
• In August 2021, Micro Focus Vertica recently launched its new Vertica 11 Analytics Platform. The product includes major feature enhancements aimed at delivering unified analytics and machine learning across multi-cloud and multi-regional deployments and touts self-service container workflows. Vertica 11 also enables customers to unify their data silos and choose from broad deployment options.
• In October 2021, Nice announced the next leap in customer experience (CX) with the introduction of Customer Experience Interactions (CXi), a new framework delivered through a unified suite of applications on the CXone platform. CXi empowers organizations to intelligently meet their customers wherever their journey begins, enables resolution through AI and data-driven self-service, and prepares agents to successfully resolve any customer needs.
• In April 2021, Verint launched Verint Virtual Assistant (IVA), a low-code Speech Analytics offering, which can rapidly turn the existing conversation data into automated self-service experiences. It allows business professionals to quickly deploy a production-ready chatbot to deflect calls and support customers. Verint IVA enables businesses to expand capabilities across the enterprise with boundless intelligence for both voice and digital.
• In May 2021, OpenText and ATCO Australia partnered to bring in ATCO’s information management solutions to the OpenText Cloud to update work for improved flexibility and cost savings.
• In April 2021, Avaya announced the enhancement of Avaya OneCloud CCaaS by providing organizations with digital capabilities that better connect customers and employees across any touchpoint, modality, device, and channel.
Speech Analytics Market Segment Analysis:
Based on Component, the solutions segment is estimated to grow with the largest market share in 2023. The customer experience management application segment is expected to hold a larger market share during the forecast period. It allows organizations to use real-time customer data to identify patterns and trends and devise retention strategies and reduce customer churn. The factors such as the high market share of the indexing and query tools segment is attributed to the need to analyze the recorded calls of customers in order to recognize customer intent and perform behavior analysis.
Speech analytics solutions comprise speech engines; indexing and query tools; reporting and visualization tools; workforce optimization; and others (emotion detection, root cause analysis, and quality management tools). These solutions help businesses maintain audit and compliance needs, and obtain the right insights on the right people at the right time. These all factors lead to the growth of the Speech Analytics Market during the forecast period in this segment.
Based on Applications, The Customer Experience Management segment is expected to record the higher CAGR during the forecast period. These applications have made a huge difference to the way that contact centers connect and communicate, thus improving the performance of enterprises. Speech analytics solutions can transform an organization by providing many ways of ensuring that they are delivering a consistent quality of service and a secure experience at every customer touchpoint. The speech engine helps recognize and understand conversations, based on which it derives outputs.
Based on End-Users, the retail and e-commerce industry vertical are expected to grow at the highest CAGR of xx% during the forecast period. The BFSI vertical is likely to hold a larger market share during the forecast period, as the importance of speech analytics is growing to enhance customer satisfaction, increase the retention rate, and reduce the customer churn rate. Most of enterprises leverage the speech analytics solutions to understand the conversational data generated and leverage the same to achieve operational efficiencies. Due to the rising adoption of speech analytics tools across the Business Process Outsourcing industry (BPO)., leads to the growth of the retail and e-commerce segment in Speech Analytics Market. Further, the introduction of advanced technological tools to enhance customer experiences is anticipated to propel the speech analytics demand.
Regional Insights:
The North America region is expected to witness significant growth at a CAGR of xx% through the forecast period because of the large number of solution vendors are present in the US. This is due to the increasing demand for enhanced customer support services to strengthen customer retention initiatives. Organizations in the region have leveraged AI and ML-based technologies as a part of their ongoing business process to stay ahead in the market. The high presence of enterprises, technology vendors and high technical adoption trends for improving operation and business efficiency in the North American region has led to driven the growth of Speech Analytics Market.
The Asia Pacific is expected to grow at the highest CAGR of xx% during the forecast period, as deeper technology penetration and large investments in contact centers that are turning towards speech analytics solutions to efficiently gain insights from customer interaction data. Due to the rising government initiatives and investments towards the adoption of AI and analytics-based solutions, there leads to the growth of the Speech Analytics Market in this region. Asia-Pacific provides lucrative opportunities for various solutions and services vendors due to increasing numbers of customer interaction centers and investments. These all factors lead to the growth of the Speech Analytics Market in Asia-Pacific region.
The objective of the report is to present a comprehensive analysis of the Speech Analytics Market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants.
PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers.
The reports also help in understanding the Speech Analytics Market dynamic, structure by analyzing the market segments and projecting the Speech Analytics Market size. Clear representation of competitive analysis of key players by Vehicle type, price, financial position, product portfolio, growth strategies, and regional presence in the Speech Analytics Market make the report investor’s guide.
Speech Analytics Market Scope: Inquire before buying
| Speech Analytics Market | |||
|---|---|---|---|
| Report Coverage | Details | ||
| Base Year: | 2023 | Forecast Period: | 2024-2030 |
| Historical Data: | 2018 to 2023 | Market Size in 2023: | USD 2.78 Bn. |
| Forecast Period 2024 to 2030 CAGR: | 21.2% | Market Size in 2030: | USD 10.71 Bn. |
| Segments Covered: | by Component | Solutions Services |
|
| by Application | Customer Experience Management Call monitoring and summarization Agent performance monitoring Sales and marketing management Risk and compliance management Sentiment analysis Other Applications |
||
| by Deployment Mode | Cloud On-premises |
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| by Organization Size | Large enterprises Small and medium-sized enterprises (SMEs) |
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| by End-User | Banking Finance Services and Insurance (BFSI) IT and Telecom Media and Entertainment Healthcare and Life Sciences Retail and eCommerce Travel and Hospitality Government and Defense Healthcare and life sciences Other Verticals |
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Speech Analytics Market, by Region
North America (United States, Canada and Mexico)
Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe)
Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC)
Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A)
South America (Brazil, Argentina Rest of South America)
Speech Analytics Market, Key Players
1. Verint Systems
2. Avaya
3. Calabrio
4. CallMiner
5. Clarabridge
6. Almawave
7. Voci Technologies
8. Zoom International
9. NICE Systems
10. Genesys
11. HPE
12. Tatwa Technologies
13. Uniphore Software Systems
14. Micro Focus
15. Avaya
16. Google
17. AWS
18. Vonage
19. OpenText
20. Calabrio
21. Eleveo
22. Almawave
Frequently Asked Questions:
1] What segments are covered in the Speech Analytics Market report?
Ans. The segments covered in the Speech Analytics Market report are based on Component, Application, Deployment Mode, Organization Size and End-Users.
2] Which region is expected to hold the highest share in the Speech Analytics Market?
Ans. North America region is expected to hold the highest share in the Speech Analytics Market.
3] What is the market size of the Speech Analytics Market by 2030?
Ans. The market size of the Speech Analytics Market by 2030 is expected to reach USD 10.71 Bn.
4] What is the forecast period for the Speech Analytics Market?
Ans. The forecast period for the Speech Analytics Market is 2024-2030.
5] What was the market size of the Speech Analytics Market in 2023?
Ans. The market size of the Speech Analytics Market in 2023 was valued at USD 2.78 Bn.