市場調查報告書
商品編碼
1458125
全球客服中心人工智慧市場規模、佔有率、成長分析:按技術類型、部署類型、服務、應用程式類型、產業-產業預測(2024-2031)Global Call Center AI Market Size, Share, Growth Analysis, By Technology Type(Natural Language Processing, Automatic Speech Recognition ), By Deployment Type, By Services, By Application Type, By Vertical Type - Industry Forecast 2024-2031 |
2022年全球客服中心AI市場規模將為17.1億美元,從2023年的21.1億美元成長到2031年的111.2億美元,預計在預測期間(2024-2031年)將以複合年成長率成長23.12% 。
人們日益需要改進資料分析能力,以快速回應客戶詢問並透過社群媒體平台推動參與,預計這將推動客服中心對人工智慧 (AI) 的需求。預測呼叫路由、互動式語音應答 (IVR)、呼叫分析、情緒智慧和對話式 AI 等關鍵 AI 應用在客服中心軟體市場中越來越受歡迎。利用人工智慧驅動的聊天機器人,客服中心可以在社群媒體平台上與客戶互動,讓客戶可以在方便的時候與支援代理商聯繫,並獲得人工智慧模型產生的支援。它可以讓您彈性接收量身客製化的響應。
Global Call Center AI Market size was valued at USD 1.71 billion in 2022 and is poised to grow from USD 2.11 billion in 2023 to USD 11.12 billion by 2031, growing at a CAGR of 23.12% during the forecast period (2024-2031).
The increasing need for improved data analysis capabilities to address customer inquiries promptly and facilitate engagement through social media platforms is poised to fuel the demand for artificial intelligence (AI) in call centers. Key AI applications such as predictive call routing, interactive voice response (IVR), call analytics, emotional intelligence, and conversational AI are gaining traction in the call center software market. Leveraging AI-powered chatbots enables call centers to engage with customers on social media platforms, offering them the flexibility to connect with support agents at their convenience and receive tailored responses generated by AI models.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Call Center AI Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Call Center AI Market Segmental Analysis
The Call Center AI Market is segmented by technology, deployment, services, application vertical, and region. Based on the technology type, the market is segmented into natural language processing (NLP), automatic speech recognition (ASR), text-to-speech (TTS), machine learning (ML) and deep learning (DP). Based on services, the market is segmented into professional services, managed services. Based on application, the market is segmented into virtual assistants, chatbots, voicebots, intelligent interactive voice response (IVR) systems. Based on vertical type, the market is segmented into BFSI (banking, financial services, and insurance), retail and e-commerce, healthcare, telecom and IT, travel and hospitality. Based on region, the market is segmented into North America, Latin America, Europe, and MEA.
Drivers of the Global Call Center AI Market
Businesses spanning various sectors are increasingly acknowledging the significance of providing outstanding customer experiences to stay ahead in the competition. With the aid of call center AI solutions, they can facilitate tailored interactions, swift issue resolution, and round-the-clock assistance, consequently amplifying customer contentment and allegiance. The surge in demand for AI-driven tools like chatbots and virtual assistants stems from the imperative to deliver seamless, effective, and individualized customer service encounters.
Restraints in the Global Call Center AI Market
Utilizing AI in call centers entails gathering and analyzing vast volumes of customer data, prompting apprehensions regarding data privacy and security. It is imperative for organizations to implement stringent data protection protocols to uphold customer confidentiality and adhere to privacy regulations. Any compromise in safeguarding customer data risks erosion of trust, tarnishing of reputation, and legal consequences.
Market Trends of the Global Call Center AI Market
As companies embrace omnichannel customer engagement, they are prioritizing the seamless integration of diverse communication channels like phone calls, emails, chat, social media, and messaging apps to ensure a unified customer experience. By incorporating AI into call center operations, businesses aim to deliver personalized interactions consistently across all touchpoints. This evolving approach empowers customers to transition between channels effortlessly, retaining context and receiving reliable support throughout their journey.