市場調査レポート
商品コード
1458125
コールセンターAIの世界市場規模、シェア、成長分析:技術タイプ別、展開タイプ別、サービス別、アプリケーションタイプ別、業界別 - 産業予測(2024~2031年)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 |
コールセンターAIの世界市場規模、シェア、成長分析:技術タイプ別、展開タイプ別、サービス別、アプリケーションタイプ別、業界別 - 産業予測(2024~2031年) |
出版日: 2024年03月28日
発行: SkyQuest
ページ情報: 英文 177 Pages
納期: 3~5営業日
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世界のコールセンターAIの市場規模は、2022年に17億1,000万米ドルとなり、2023年の21億1,000万米ドルから、2031年までには111億2,000万米ドルに成長し、予測期間(2024~2031年)のCAGRは23.12%で成長する見通しです。
顧客からの問い合わせに迅速に対応し、ソーシャルメディア・プラットフォームを通じたエンゲージメントを促進するためのデータ分析能力の向上に対するニーズの高まりが、コールセンターにおける人工知能(AI)の需要を促進する見通しです。コールセンターソフトウェア市場では、予測コールルーティング、対話型音声応答(IVR)、コール分析、感情インテリジェンス、会話型AIなどの主要なAIアプリケーションが人気を集めています。AIを搭載したチャットボットを活用することで、コールセンターはソーシャル・メディア・プラットフォーム上で顧客とエンゲージすることが可能になり、顧客は自分の都合に合わせてサポート・エージェントに接続し、AIモデルによって生成されたテーラーメードの応答を受け取ることができる柔軟性を提供することができます。
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.