市场调查报告书
商品编码
1379035
2023-2028 年语音分析市场报告(按类型、部署、企业规模、最终用途和地区)Speech Analytics Market Report by Type, Deployment, Enterprise Size, End Use, and Region 2023-2028 |
2022年全球语音分析市场规模达到22亿美元。展望未来, IMARC Group预计到2028年市场规模将达到69亿美元,2022-2028年复合年增长率(CAGR)为21.0%。对客户洞察的需求不断增长、人工智慧和自然语言处理技术的进步,以及对增强客户体验和降低潜在风险的需求不断增加,是推动市场发展的一些关键因素。
语音分析是一种强大的工具,它依靠人工智慧技术来分析和提取口语中的有用资讯。它涉及应用各种语言、语音和统计方法来辨别模式并从语音资料中获得见解。在呼叫中心环境中越来越多地利用语音分析来识别情绪、检测合规性和风险、改善客户服务、增强营运和推动策略决策,这正在支持市场的成长。除此之外,透过将非结构化音讯资料转换为结构化资料,语音分析为提高客户满意度、提高员工绩效和发现成长机会提供了宝贵的资源。此外,它的功能超越了简单的转录范围,还可以进行情绪分析、关键字发现和趋势检测。因此,商业智慧使用语音分析来更好地了解客户并优化营运效率。
组织越来越重视改善客户体验作为差异化手段,导致对语音分析等解决方案的需求不断增加,以提供有关客户行为和偏好的宝贵见解。此外,对合规性和风险管理的需求不断增长,鼓励公司采用语音分析等技术来确保合规性并降低潜在风险。除此之外,随着各种沟通管道的使用越来越多,组织正在关注全通路策略,以确保一致且无缝的客户体验。此外,由于跨行业的数位转型倡议,资料量呈指数级增长,这推动了对语音分析等技术的需求,以有效管理这些资料并从中获取见解。此外,人工智慧(AI)、机器学习和其他先进技术的整合正在提高语音分析的效率和准确性。
先进技术的融合
将人工智慧 (AI) 和机器学习 (ML) 等先进技术整合到语音分析解决方案中是推动市场的关键因素之一。语音分析软体利用这些技术来准确解释人类语言、辨识情绪,甚至根据言语和非言语线索预测客户行为。人工智慧和机器学习的发展正在实现更复杂的预测能力,从而增强了语音分析带来的商业价值。此外,这些技术有助于分析即时对话并提供即时见解,企业可以利用这些见解来改善客户互动。此外,基于云端的语音分析解决方案提供可扩展性、灵活性和成本效益,并且消除了企业投资和管理大量 IT 基础设施的需要,使各种规模的组织都可以更轻鬆地进行语音分析。
客户体验管理的需求不断增长
目前,企业越来越注重采用语音分析来理解和增强客户旅程。语音分析可以深入洞察客户互动,包括痛点、偏好和满意度。这种理解使企业能够提供有针对性的个人化行销讯息、优惠和建议。使用洞察驱动的策略来改善客户体验的趋势不断上升,这提供了良好的市场前景。语音分析使企业能够即时识别客户提出的重复出现的问题或投诉,并允许企业采取必要的措施来解决这些问题。这种积极主动的方法有助于及时解决客户问题,减少客户满意度并提高客户忠诚度。
监理合规性
多个行业的监管日益严格是推动全球语音分析市场的重要因素。金融、医疗保健和电信等某些行业受到严格监管,对资料安全和隐私有严格要求。在这些产业中,语音分析工具对于维持合规性是不可或缺的。例如,它们透过监控和分析所有客户通讯来帮助金融机构遵守《多德弗兰克法案》等法规。同样,在医疗保健领域,语音分析可以透过识别敏感患者资讯被不当共享的情况来帮助确保遵守健康保险可移植性和责任法案 (HIPAA)。
IMARC Group提供了全球语音分析市场报告各细分市场主要趋势的分析,以及 2023 年至 2028 年全球、区域和国家层面的预测。我们的报告根据类型、部署、企业规模和最终用途对市场进行了分类。
解决方案
服务
解决方案代表最大的细分市场
该报告根据类型提供了详细的市场细分和分析。这包括解决方案和服务。根据该报告,解决方案代表了最大的部分。
数位化程度的提高导致资料量激增,需要有效的资料管理和分析工具。语音分析解决方案有助于处理不断增加的资料量并将其转化为可行的见解。此外,企业越来越注重提高客户满意度,这刺激了对语音分析解决方案的需求。这些解决方案可帮助公司了解客户行为、识别趋势并发现问题,使他们能够提供更好的客户体验。
基于服务的语音分析是指与组织中语音分析解决方案的部署、使用、支援和管理相关的一系列服务。他们提供技术支援和定期系统检查,帮助企业避免停机并及时解决任何问题。此外,他们在实施阶段提供必要的支持,并确保语音分析解决方案顺利整合到现有系统中。
本地
基于云端
本地占大部分市场份额
该报告根据部署提供了详细的市场细分和分析。这包括本地和基于云端的。根据该报告,本地占最大部分。
本地部署是指在组织内部安装和执行语音分析软体。它涉及硬体和软体许可证的获取以及维护、安全和资料管理的责任。具有严格资料安全和隐私法规的行业(例如金融和医疗保健)越来越多地部署本地语音分析,以提高对其语音分析环境的灵活性和控制力。除此之外,这些语音分析越来越多地在中小型企业中使用。
中小企业
大型企业
中小型企业 (SME) 代表了市场上最大的应用领域
该报告根据企业规模对市场进行了详细的细分和分析。这包括中小企业和大型企业。报告指出,中小企业占据着最大的细分市场。语音分析提供了有关客户互动、情绪和偏好的宝贵见解,使中小企业能够更好地了解客户并相应地定制他们的产品、服务和客户支援。透过利用语音分析,中小企业可以提高客户满意度和忠诚度,并获得市场竞争优势。中小企业通常资源有限,需要优化营运以获得最大效率。语音分析可协助中小企业简化客户互动、识别流程瓶颈并提高座席绩效。
BFSI
资讯科技和电信
零售
卫生保健
政府
款待
其他的
BFSI 拥有最大的市场份额
该报告根据最终用途提供了详细的市场细分和分析。这包括 BFSI、IT 和电信、零售、医疗保健、政府、酒店等。报告显示,BFSI 占据最大的市场份额。
BFSI 领域越来越多地使用语音分析,有助于监控客户交互,以确保遵守法规,例如《多德弗兰克法案》或支付卡产业资料安全标准 (PCI DSS)。此外,BFSI 部门高度以客户为中心,提供卓越的客户体验是重中之重。语音分析提供了有关客户互动、情绪和偏好的宝贵见解,使组织能够了解客户需求并提高服务品质。除此之外,诈欺侦测和预防在 BFSI 产业中至关重要,语音分析工具可以透过分析客户对话来识别可疑或诈欺活动。此外,语音分析为 BFSI 领域的市场研究和竞争分析提供了宝贵的资料。这些资讯使 BFSI 机构能够发现新的市场机会、调整其产品并在竞争格局中保持领先地位。
北美洲
美国
加拿大
亚太
中国
日本
印度
韩国
澳洲
印尼
其他的
欧洲
德国
法国
英国
义大利
西班牙
俄罗斯
其他的
拉丁美洲
巴西
墨西哥
其他的
中东和非洲
北美表现出明显的主导地位,占据最大的语音分析市场份额
该报告还对所有主要区域市场进行了全面分析,其中包括北美(美国和加拿大);亚太地区(中国、日本、印度、韩国、澳洲、印尼等);欧洲(德国、法国、英国、义大利、西班牙、俄罗斯等);拉丁美洲(巴西、墨西哥等);以及中东和非洲。报告称,北美是最大的市场。
北美建立完善的资讯技术(IT)和电信基础设施是有利于市场成长的关键因素之一。此外,该地区各种领先的全球语音分析解决方案提供商的存在,加上他们在产品创新和增强方面的不断努力,都有助于市场的成长。除此之外,零售、银行、金融服务、医疗保健和保险等各行业也越来越多地使用语音分析解决方案,以改善客户体验、确保合规性并获得有价值的业务见解。此外,公共和私人组织的扩张以及基于云端的解决方案的不断采用正在对该地区的市场产生积极影响。
公司正在投资研发 (R&D),以增强语音分析解决方案的功能。他们正在整合人工智慧 (AI)、机器学习 (ML)、自然语言处理 (NLP) 和情绪分析等先进技术,以提高语音辨识准确性、情绪分析和预测分析能力。这些进步可以更精确地分析客户对话并提供更有价值的见解。他们也正在开发针对各行业独特需求的行业特定语音分析解决方案。例如,他们正在创建专门为 BFSI 行业、医疗保健行业和联络中心设计的解决方案。这些行业特定的解决方案结合了专门的功能、合规性监控功能以及与行业特定係统的整合功能,以满足每个行业的特定需求和监管要求。
阿尔玛威公司
ASC 技术股份公司
阿瓦亚
卡拉布里奥公司
呼叫矿工
克拉拉布里奇
金马泰克
OK绷
inContact(NICE 系统)
昂维源公司
营运支出託管
维林特系统公司
2021 年 9 月,全球业务改善对话分析领导者 CallMiner 宣布,CallMiner Eureka 平台与 Microsoft Azure Speech to Text 结合,预计将提供强大且统一的解决方案。
2022 年 11 月,全球 CX 解决方案供应商 Startek 部署了 Verint 语音分析,为客户提供世界级的体验。
The global speech analytics market size reached US$ 2.2 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 6.9 Billion by 2028, exhibiting a growth rate (CAGR) of 21.0% during 2022-2028. The increasing demand for customer insights, advancements in artificial intelligence and natural language processing technologies, and the escalating need for enhanced customer experience and mitigating potential risks represent some of the key factors driving the market.
Speech analytics is a powerful tool that relies on artificial intelligence technology to analyze and extract useful information from spoken language. It involves the application of various linguistic, phonetic, and statistical methodologies to discern patterns and gain insights from voice data. The growing utilization of speech analytics in call center environments to identify emotions, detect compliance and risk, improve customer service, enhance operations, and drive strategic decision-making is supporting the market growth. Apart from this, by transforming unstructured audio data into structured data, speech analytics offers a valuable resource for improving customer satisfaction, enhancing employee performance, and identifying growth opportunities. Moreover, its capabilities extend beyond simple transcription, allowing for sentiment analysis, keyword spotting, and trend detection. As a result, business intelligence uses speech analytics to understand customers better and optimize operational efficiency.
The growing emphasis of organizations on improving customer experience as a means of differentiation is leading to the escalating demand for solutions like speech analytics to provide valuable insights into customer behaviors and preferences. Additionally, the increasing need for compliance and risk management is encouraging companies to adopt technologies like speech analytics to ensure compliance and mitigate potential risks. Apart from this, with the increasing use of various communication channels, organizations are focusing on an omnichannel strategy to ensure a consistent and seamless customer experience. Furthermore, there is an exponential increase in data volume due to digital transformation initiatives across industries, which is driving the need for technologies like speech analytics to manage and gain insights from this data effectively. Moreover, the integration of artificial intelligence (AI), machine learning, and other advanced technologies is improving the efficacy and accuracy of speech analytics.
Integration of advanced technologies
The integration of advanced technologies, such as artificial intelligence (AI) and machine learning (ML) into speech analytic solutions represents one of the key factors driving the market. Speech analytics software leverages these technologies to accurately interpret human language, identify emotions, and even predict customer behavior based on verbal and non-verbal cues. The evolution of AI and ML is enabling more sophisticated predictive capabilities, enhancing the business value derived from speech analytics. Furthermore, these technologies help analyze real-time conversations and offer immediate insights that businesses can use to improve customer interactions as they occur. Moreover, cloud-based speech analytics solutions offer scalability, flexibility, and cost-effectiveness and eliminate the need for businesses to invest in and manage extensive IT infrastructure, making speech analytics more accessible to organizations of all sizes.
Growing need for customer experience management
Presently, businesses are increasingly focusing on the adoption of speech analytics to understand and enhance the customer journey. Speech analytics provides in-depth insights into customer interactions, including pain points, preferences, and satisfaction levels. This understanding enables businesses to deliver targeted and personalized marketing messages, offers, and recommendations. The rising trend of using insights-driven strategies to improve customer experience is offering a favorable market outlook. Speech analytics enables businesses to identify recurring issues or complaints raised by customers in real time and allows companies to take required measures to address them. This proactive approach helps in resolving customer problems promptly, reducing customer dissatisfaction, and increasing customer loyalty.
Regulatory compliance
The increasing rigor of regulations across multiple industries is a significant factor driving the global speech analytics market. Certain sectors like finance, healthcare, and telecommunications are heavily regulated, with stringent requirements for data security and privacy. In these industries, speech analytics tools are indispensable for maintaining compliance. For example, they help financial institutions comply with regulations such as the Dodd-Frank Act by enabling the monitoring and analysis of all customer communications. Similarly, in the healthcare sector, speech analytics can help ensure adherence to the health insurance portability and accountability act (HIPAA) by identifying instances of sensitive patient information being shared improperly.
IMARC Group provides an analysis of the key trends in each segment of the global speech analytics market report, along with forecasts at the global, regional and country levels from 2023-2028. Our report has categorized the market based on type, deployment, enterprise size and end use.
Solution
Service
Solution represents the largest market segment
The report has provided a detailed breakup and analysis of the market based on the type. This includes solution and service. According to the report, solution represented the largest segment.
The surge in the volume of data due to increased digitalization requires effective tools for data management and analysis. Speech analytics solutions aid in handling this increasing data volume and transforming it into actionable insights. Additionally, businesses are increasingly focusing on improving customer satisfaction, which is catalyzing the demand for speech analytics solutions. These solutions help companies understand customer behavior, identify trends, and spot issues, enabling them to deliver better customer experiences.
Service-based speech analytics refers to the array of services associated with the deployment, usage, support, and management of speech analytics solutions in an organization. They offer technical support and regular system checks that help businesses avoid downtime and resolve any issues promptly. Additionally, they provide necessary support during the implementation phase and ensure a smooth integration of speech analytics solutions into existing systems.
On-premises
Cloud-based
On-premises accounts for the majority of the market share
The report has provided a detailed breakup and analysis of the market based on the deployment. This includes on-premises and cloud-based. According to the report, on-premises represented the largest segment.
On-premises deployment refers to the installation and operation of speech analytics software within the premises of an organization. It involves the acquisition of hardware and software licenses and the responsibility for maintenance, security, and data management. There is a rise in the deployment of on-premises speech analytics across industries with strict data security and privacy regulations, such as finance, and healthcare for greater flexibility and control over their speech analytics environment. Apart from this, these speech analytics are increasingly used in small and medium-sized enterprises.
Small and Medium Enterprises
Large Enterprises
Small and medium enterprises (SMEs) represent the largest application segment in the market
The report has provided a detailed breakup and analysis of the market based on enterprise size. This includes small and medium enterprises and large enterprises. According to the report, small and medium enterprises hold the largest market segment. Speech analytics provides valuable insights into customer interactions, sentiments, and preferences, enabling SMEs to understand their customers better and tailor their products, services, and customer support accordingly. By leveraging speech analytics, SMEs can enhance customer satisfaction, loyalty, and gain a competitive edge in the market. SMEs often have limited resources and need to optimize their operations for maximum efficiency. Speech analytics helps SMEs streamline their customer interactions, identify process bottlenecks, and improve agent performance.
BFSI
IT and Telecommunication
Retail
Healthcare
Government
Hospitality
Others
BFSI holds the largest market share
The report has provided a detailed breakup and analysis of the market based on end use. This includes BFSI, IT and telecommunication, retail, healthcare, government, hospitality, and others. According to the report, BFSI accounted for the largest market share.
The increasing use of speech analytics in the BFSI sector helps in monitoring customer interactions to ensure adherence to regulations, such as the Dodd-Frank Act or the Payment Card Industry Data Security Standard (PCI DSS). Additionally, the BFSI sector is highly customer-centric, and delivering exceptional customer experiences is a top priority. Speech analytics provides valuable insights into customer interactions, sentiments, and preferences, enabling organizations to understand customer needs and enhance service quality. Apart from this, fraud detection and prevention are paramount in the BFSI industry, and speech analytics tools can identify suspicious or fraudulent activities by analyzing customer conversations. Furthermore, speech analytics provides valuable data for market research and competitive analysis within the BFSI sector. This information enables BFSI institutions to identify new market opportunities, adapt their offerings, and stay ahead in a competitive landscape.
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America exhibits a clear dominance, accounting for the largest speech analytics market share
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America represented the largest market.
The establishment of well-developed information technology (IT) and telecommunications infrastructure in North America represents one of the key factors favoring the market growth. Additionally, the presence of various leading global providers of speech analytics solutions in the region, coupled with their continuous efforts in product innovation and enhancement is contributing to the market growth. Apart from this, there is a rise in the use of speech analytics solutions across various industries, such as retail, banking, financial services, healthcare, and insurance, to improve customer experience, ensure compliance, and gain valuable business insights. Furthermore, the expansion of public and private organizations, along with the rising adoption of cloud-based solutions is positively influencing the market in the region.
Companies are investing in research and development (R&D) to enhance the capabilities of speech analytics solutions. They are incorporating advanced technologies, such as artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and sentiment analysis to improve speech recognition accuracy, sentiment analysis, and predictive analytics capabilities. These advancements enable more precise analysis of customer conversations and deliver more valuable insights. They are also developing industry-specific speech analytics solutions tailored to the unique requirements of various sectors. For example, they are creating solutions designed specifically for the BFSI industry, healthcare sector, and contact centers. These industry-specific solutions incorporate specialized functionalities, compliance monitoring features, and integration capabilities with industry-specific systems to address the specific needs and regulatory requirements of each sector.
Almawave S.p.A.
ASC Technologies AG
Avaya
Calabrio, Inc.
CallMiner
Clarabridge
GemaTech
Genesys
inContact (NICE Systems)
OnviSource Inc.
OPEX Hosting
Verint System Inc.
In September 2021, CallMiner, a global leader of conversation analytics for business improvement, announced that the CallMiner Eureka Platform combined with Microsoft Azure Speech to Text is expected to deliver a powerful and unified solution.
In November 2022, Global CX Solutions provider Startek deployed Verint Speech Analytics to enable world-class experiences for customers.