市場調查報告書
商品編碼
1379035
2023-2028 年語音分析市場報告(按類型、部署、企業規模、最終用途和地區)Speech Analytics Market Report by Type, Deployment, Enterprise Size, End Use, and Region 2023-2028 |
2022年全球語音分析市場規模達到22億美元。展望未來, IMARC Group預計到2028年市場規模將達到69億美元,2022-2028年複合年成長率(CAGR)為21.0%。對客戶洞察的需求不斷成長、人工智慧和自然語言處理技術的進步,以及對增強客戶體驗和降低潛在風險的需求不斷增加,是推動市場發展的一些關鍵因素。
語音分析是一種強大的工具,它依靠人工智慧技術來分析和提取口語中的有用資訊。它涉及應用各種語言、語音和統計方法來辨別模式並從語音資料中獲得見解。在呼叫中心環境中擴大利用語音分析來識別情緒、檢測合規性和風險、改善客戶服務、增強營運和推動策略決策,這正在支持市場的成長。除此之外,透過將非結構化音訊資料轉換為結構化資料,語音分析為提高客戶滿意度、提高員工績效和發現成長機會提供了寶貴的資源。此外,它的功能超越了簡單的轉錄範圍,還可以進行情緒分析、關鍵字發現和趨勢檢測。因此,商業智慧使用語音分析來更好地了解客戶並最佳化營運效率。
組織越來越重視改善客戶體驗作為差異化手段,導致對語音分析等解決方案的需求不斷增加,以提供有關客戶行為和偏好的寶貴見解。此外,對合規性和風險管理的需求不斷成長,鼓勵公司採用語音分析等技術來確保合規性並降低潛在風險。除此之外,隨著各種溝通管道的使用越來越多,組織正在關注全通路策略,以確保一致且無縫的客戶體驗。此外,由於跨行業的數位轉型舉措,資料量呈指數級成長,這推動了對語音分析等技術的需求,以有效管理這些資料並從中獲取見解。此外,人工智慧(AI)、機器學習和其他先進技術的整合正在提高語音分析的效率和準確性。
先進技術的融合
將人工智慧 (AI) 和機器學習 (ML) 等先進技術整合到語音分析解決方案中是推動市場的關鍵因素之一。語音分析軟體利用這些技術來準確解釋人類語言、辨識情緒,甚至根據言語和非言語線索預測客戶行為。人工智慧和機器學習的發展正在實現更複雜的預測能力,從而增強了語音分析帶來的商業價值。此外,這些技術有助於分析即時對話並提供即時見解,企業可以利用這些見解來改善客戶互動。此外,基於雲端的語音分析解決方案提供可擴展性、靈活性和成本效益,並且消除了企業投資和管理大量 IT 基礎設施的需要,使各種規模的組織都可以更輕鬆地進行語音分析。
客戶體驗管理的需求不斷成長
目前,企業越來越注重採用語音分析來理解和增強客戶旅程。語音分析可以深入洞察客戶互動,包括痛點、偏好和滿意度。這種理解使企業能夠提供有針對性的個人化行銷訊息、優惠和建議。使用洞察驅動的策略來改善客戶體驗的趨勢不斷上升,這提供了良好的市場前景。語音分析使企業能夠即時識別客戶提出的重複出現的問題或投訴,並允許企業採取必要的措施來解決這些問題。這種積極主動的方法有助於及時解決客戶問題,減少客戶滿意度並提高客戶忠誠度。
監理合規性
多個行業的監管日益嚴格是推動全球語音分析市場的重要因素。金融、醫療保健和電信等某些行業受到嚴格監管,對資料安全和隱私有嚴格要求。在這些產業中,語音分析工具對於維持合規性是不可或缺的。例如,它們透過監控和分析所有客戶通訊來幫助金融機構遵守《多德弗蘭克法案》等法規。同樣,在醫療保健領域,語音分析可以透過識別敏感患者資訊被不當共享的情況來幫助確保遵守健康保險可移植性和責任法案 (HIPAA)。
IMARC Group提供了全球語音分析市場報告各細分市場主要趨勢的分析,以及 2023 年至 2028 年全球、區域和國家層面的預測。我們的報告根據類型、部署、企業規模和最終用途對市場進行了分類。
解決方案
服務
解決方案代表最大的細分市場
該報告根據類型提供了詳細的市場細分和分析。這包括解決方案和服務。根據該報告,解決方案代表了最大的部分。
數位化程度的提高導致資料量激增,需要有效的資料管理和分析工具。語音分析解決方案有助於處理不斷增加的資料量並將其轉化為可行的見解。此外,企業越來越注重提高客戶滿意度,這刺激了對語音分析解決方案的需求。這些解決方案可幫助公司了解客戶行為、識別趨勢並發現問題,使他們能夠提供更好的客戶體驗。
基於服務的語音分析是指與組織中語音分析解決方案的部署、使用、支援和管理相關的一系列服務。他們提供技術支援和定期系統檢查,幫助企業避免停機並及時解決任何問題。此外,他們在實施階段提供必要的支持,並確保語音分析解決方案順利整合到現有系統中。
本地
基於雲端
本地佔大部分市場佔有率
該報告根據部署提供了詳細的市場細分和分析。這包括本地和基於雲端的。根據該報告,本地佔最大部分。
本地部署是指在組織內部安裝和執行語音分析軟體。它涉及硬體和軟體許可證的獲取以及維護、安全和資料管理的責任。具有嚴格資料安全和隱私法規的行業(例如金融和醫療保健)擴大部署本地語音分析,以提高對其語音分析環境的靈活性和控制力。除此之外,這些語音分析擴大在中小型企業中使用。
中小企業
大型企業
中小型企業 (SME) 代表了市場上最大的應用領域
該報告根據企業規模對市場進行了詳細的細分和分析。這包括中小企業和大型企業。報告指出,中小企業佔據著最大的細分市場。語音分析提供了有關客戶互動、情緒和偏好的寶貴見解,使中小企業能夠更好地了解客戶並相應地客製化他們的產品、服務和客戶支援。透過利用語音分析,中小企業可以提高客戶滿意度和忠誠度,並獲得市場競爭優勢。中小企業通常資源有限,需要最佳化營運以獲得最大效率。語音分析可協助中小企業簡化客戶互動、識別流程瓶頸並提高座席績效。
BFSI
資訊科技和電信
零售
衛生保健
政府
款待
其他
BFSI 擁有最大的市場佔有率
該報告根據最終用途提供了詳細的市場細分和分析。這包括 BFSI、IT 和電信、零售、醫療保健、政府、酒店等。報告顯示,BFSI 佔據最大的市場佔有率。
BFSI 領域擴大使用語音分析,有助於監控客戶交互,以確保遵守法規,例如《多德弗蘭克法案》或支付卡產業資料安全標準 (PCI DSS)。此外,BFSI 部門高度以客戶為中心,提供卓越的客戶體驗是重中之重。語音分析提供了有關客戶互動、情緒和偏好的寶貴見解,使組織能夠了解客戶需求並提高服務品質。除此之外,詐欺偵測和預防在 BFSI 產業中至關重要,語音分析工具可以透過分析客戶對話來識別可疑或詐欺活動。此外,語音分析為 BFSI 領域的市場研究和競爭分析提供了寶貴的資料。這些資訊使 BFSI 機構能夠發現新的市場機會、調整其產品並在競爭格局中保持領先地位。
北美洲
美國
加拿大
亞太
中國
日本
印度
韓國
澳洲
印尼
其他
歐洲
德國
法國
英國
義大利
西班牙
俄羅斯
其他
拉丁美洲
巴西
墨西哥
其他
中東和非洲
北美表現出明顯的主導地位,佔據最大的語音分析市場佔有率
該報告還對所有主要區域市場進行了全面分析,其中包括北美(美國和加拿大);亞太地區(中國、日本、印度、韓國、澳洲、印尼等);歐洲(德國、法國、英國、義大利、西班牙、俄羅斯等);拉丁美洲(巴西、墨西哥等);以及中東和非洲。報告稱,北美是最大的市場。
北美建立完善的資訊技術(IT)和電信基礎設施是有利於市場成長的關鍵因素之一。此外,該地區各種領先的全球語音分析解決方案提供商的存在,加上他們在產品創新和增強方面的不斷努力,都有助於市場的成長。除此之外,零售、銀行、金融服務、醫療保健和保險等各行業也擴大使用語音分析解決方案,以改善客戶體驗、確保合規性並獲得有價值的業務見解。此外,公共和私人組織的擴張以及基於雲端的解決方案的不斷採用正在對該地區的市場產生積極影響。
公司正在投資研發 (R&D),以增強語音分析解決方案的功能。他們正在整合人工智慧 (AI)、機器學習 (ML)、自然語言處理 (NLP) 和情緒分析等先進技術,以提高語音辨識準確性、情緒分析和預測分析能力。這些進步可以更精確地分析客戶對話並提供更有價值的見解。他們也正在開發針對各行業獨特需求的行業特定語音分析解決方案。例如,他們正在創建專門為 BFSI 行業、醫療保健行業和聯絡中心設計的解決方案。這些行業特定的解決方案結合了專門的功能、合規性監控功能以及與行業特定系統的整合功能,以滿足每個行業的特定需求和監管要求。
阿爾瑪威公司
ASC 技術股份公司
阿瓦亞
卡拉布里奧公司
呼叫礦工
克拉拉布里奇
金馬泰克
OK繃
inContact(NICE 系統)
昂維源公司
營運支出託管
維林特系統公司
2021 年 9 月,全球業務改善對話分析領導者 CallMiner 宣布,CallMiner Eureka 平台與 Microsoft Azure Speech to Text 結合,預計將提供強大且統一的解決方案。
2022 年 11 月,全球 CX 解決方案供應商 Startek 部署了 Verint 語音分析,為客戶提供世界級的體驗。
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.