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市场调查报告书
商品编码
1904971
全球对话式商务市场评估:按解决方案、公司规模、产业和地区划分,机会与预测(2018-2032 年)Global Conversational Commerce Market Assessment, By Solution, By Enterprise Size, By Industry, By Region, Opportunities and Forecast, 2018-2032F |
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对话式商务市场预计将以 12.22% 的复合年增长率 (CAGR) 从 2024 年的 104 亿美元增长到 2032 年的 261.6 亿美元。由于消费者对个人化、无缝和即时客户互动(这是数位平台的典型特征)的高需求,该市场正在快速扩张。为了增强客户参与度并简化商业交易,企业正在加速采用对话式介面,例如聊天机器人、即时通讯平台、语音助理和人工智慧驱动的对话系统。智慧型手机、社群媒体和即时通讯服务的广泛普及为对话式商务奠定了理想的基础,使企业能够以最高效率和最及时的方式触及消费者。
人工智慧、自然语言处理和机器学习的进步极大地推动了对话式工具的发展,使企业能够提供情境化推荐、自动处理客户咨询并预测客户偏好。这些功能有助于提高转换率、降低营运成本并提升整体客户满意度。因此,许多企业,尤其是在北美的企业,正在大力投资这些解决方案以保持竞争优势。同时,由于数位化进程的快速推进和电子商务生态系统的扩张,亚太地区正在崛起为一个高成长市场。
推动对话式商务发展的关键因素包括:对自动化客户支援的需求不断增长、商务平台与客户关係管理 (CRM) 和分析系统的无缝集成,以及金融、製造、分销、服务和公共基础设施等众多行业广泛采用全通路策略。在此背景下,对话式商务不仅被视为一种业务拓展手段,也被视为一种提高营运效率的方式,并因此备受关注。
例如,2025年10月,OpenAI与沃尔玛合作,使顾客能够透过ChatGPT的对话介面直接购买商品,无需离开AI环境即可完成交易。这项由全球大型零售商发起的举措,展现了该公司将对话式商务融入其核心销售管道的强烈愿望,旨在加强客户互动并拓展数位化收入来源。
Conversational Commerce Market is projected to witness a CAGR of 12.22% during the forecast period 2025-2032, growing from USD 10.40 billion in 2024 to USD 26.16 billion in 2032. The market is growing rapidly due to the high demand for personalized, seamless, and real-time customer interactions that are typical of digital platforms. To enhance customer engagement and streamline commercial transactions, organizations are increasingly adopting conversational interfaces such as chatbots, messaging platforms, voice assistants, and AI-driven dialogue systems. The extensive use of smartphones, social media, and messaging services has, in fact, laid the perfect ground for conversational commerce, thereby allowing enterprises to access consumers without any time lag and with maximum output.
Advancements in artificial intelligence, natural language processing, and machine learning have significantly evolved conversational tools, enabling businesses to deliver context-aware recommendations, automate query handling, and anticipate customer preferences. These capabilities drive higher conversion rates, reduce operational costs, and improve overall customer satisfaction. As a result, many enterprises, particularly in North America, are making substantial investments in these solutions to maintain competitive advantage, while the Asia-Pacific region is emerging as a high-growth market due to rapid digital adoption and expanding e-commerce ecosystems.
Key factors driving conversational commerce include the rising demand for automated customer support, the seamless integration of commerce platforms with CRM and analytics systems, and the widespread adoption of omnichannel strategies across industries such as finance, manufacturing, distribution, services, and public sector infrastructure. As such, conversational commerce is seen as not only a means of scaling up the business but also as a way of making operations more efficient.
For instance, in October 2025, OpenAI, through its collaboration with Walmart, enabled customers to purchase products directly via ChatGPT's conversational interface, allowing transactions to be completed without leaving the AI environment. This initiative by a major global retailer signals a strong enterprise appetite for embedding conversational commerce into core sales channels, enhancing customer engagement while expanding digital revenue streams.
Integration of Conversational Commerce into Core Digital Channels is Driving Market Expansion
The primary growth driver of the global conversational commerce market is the integration of conversational commerce with core digital channels, as it fundamentally transforms how companies interact with consumers and convert engagement into sales. By integrating chatbots, messaging platforms, and AI-driven dialogue systems directly into e-commerce platforms, social media channels, and mobile applications, businesses can deliver seamless, real-time interactions without requiring users to switch between multiple platforms or tools. As a result, the purchasing process is simplified, enabling users to browse products, ask questions, receive personalized recommendations, and complete transactions through a single conversational interface.
Moreover, this level of integration enables businesses to leverage interaction data to design highly personalized customer journeys. For example, conversational platforms can analyze a customer's purchase history, preferences, and browsing behavior to deliver tailored product recommendations, targeted promotions, and contextual support. This approach not only increases conversion rates but also strengthens customer loyalty and long-term engagement.
In addition, embedding conversational commerce into digital channels significantly enhances operational efficiency by automating repetitive, high-volume tasks. This allows human agents to focus on more complex issues while reducing response times and improving overall service quality. The big players in retail and the service industry who are eager adopters of these integrated solutions are proof that conversational commerce is gradually becoming the core of digital sales strategies rather than an add-on feature just for trials. In essence, effortless integration leads to increased usage across industries, thus, the pace of digital transformation is quickened, and conversational commerce is positioned as a very important means of not only improving customer experience but also business performance.
For instance, in March 2025, Attentive launched Rich Communication Services (RCS) Business Messaging in the United States. This initiative enabled brands to deliver richer, two-way conversational shopping experiences directly within messaging applications. Through this capability, consumers can browse products, add items to their carts, and complete purchases entirely within a chat interface, eliminating the need for redirection to external platforms.
Advancements in AI, Machine Learning & Natural Language Processing (NLP) Propel Market Growth
Advancements in artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) have been the chief reasons for the Global Conversational Commerce Market's increasing volume as they improve the functionalities, precision, and productivity of conversational interfaces to a great extent. Present AI algorithms empower chatbots, virtual assistants and communication tools to comprehend and decode human language in a more refined, context-aware manner and detect sentiment. As a result, companies can engage with customers in a more natural, human-like manner by delivering accurate responses, offering product recommendations aligned with user needs, and providing timely, contextual support.
Moreover, machine learning enhances the capabilities of conversational commerce platforms by continuously analyzing user interactions, predicting consumer behavior, and autonomously refining responses without the need for human interventionBy leveraging historical interactions, these systems can anticipate customer needs, deliver relevant offers, and adapt to evolving preferences, thereby increasing conversion rates while strengthening customer loyalty.
For instance, in December 2025, Google released a new version of its Gemini 2.5 Flash Native Audio model, which made natural conversation capabilities significantly better and hence, voice-based AI interactions became easier and more efficient for developers and digital experiences. These enhancements, like more accurate responses and better context understanding, make conversational interfaces more human-like and thus support richer commerce interactions via voice and AI agents.
Software is Leading the Market Share
Software is a major contributor to the global conversational commerce market as it essentially is the core framework that enables automated, intelligent, and scalable customer interactions across different industries. Conversational commerce software comprises AI-driven chatbots, virtual assistants, messaging platforms, and analytics tools that enable businesses to engage consumers, process transactions, and deliver personalized experiences in real time. Unlike one-time implementations or consultancy-led services, software-based solutions provide continuous, scalable, and reusable capabilities that can be seamlessly embedded into digital channels such as e-commerce platforms, mobile applications, and social messaging platforms.
The dominance of software solutions is further reinforced by their ability to handle large volumes of interactions concurrently, making them the most scalable and reliable option for enterprises that require consistent performance, stability, and operational resilience. In addition, advanced capabilities such as natural language processing (NLP), machine learning algorithms, sentiment analysis, and predictive analytics position software as the preferred choice for businesses seeking higher productivity, greater accuracy, and actionable insights derived from conversational data.
In practice, software platforms enable rapid deployment and continuous updates, allowing enterprises to remain aligned with evolving consumer expectations, quickly adopt new AI capabilities, and sustain a strong competitive position. As a result of continuous innovation, high flexibility, and enterprise-wide scalability, software remains the dominant segment in the conversational commerce market, capturing the majority of global investments and adoption.
Asia-Pacific: Fastest Growing Region in the Conversational Commerce Market
Asia-Pacific leads in the fastest growth of the global conversational commerce market among other regions due to the triple impact of rapid digital adoption, growing e-commerce ecosystems, and increasing smartphone and internet penetration. China, India, Japan, and South Korea are witnessing high levels of online retail activity, primarily driven by a tech-savvy consumer base that increasingly demands instant, personalized, and conversational experiences across shopping, payments, and customer support.
Regional social media platforms, messaging services, and high mobile application usage are key drivers of conversational commerce adoption, enabling businesses to seamlessly integrate chatbots, AI assistants, and voice-enabled interfaces into the platforms where consumers are most digitally engaged. In addition, local enterprises and startups are not only enthusiastic about AI, natural language processing, and machine learning but also committed to these technologies by producing region-specific, multilingual, and context-aware conversational solutions that serve a varied population.
Future Market Scenario (2025-2032F)
Expansion of Conversational Commerce Across Industries
Conversational commerce solutions are expected to expand beyond retail and e-commerce into sectors such as finance, healthcare, logistics, and public services, enabling real-time customer engagement, automated support, and personalized service delivery.
Enterprises will increasingly integrate AI-driven chatbots, voice assistants, and messaging platforms with core business applications, CRM systems, and analytics tools to improve operational efficiency, drive sales conversions, and enhance customer experience.
Regional Growth Dynamics
Asia-Pacific is expected to be the fastest-growing region for the next several years, which is mainly due to the growing e-commerce ecosystems, high smartphone penetration, digital-first consumer behavior, and government initiatives supporting AI adoption and digital transformation.
North America will hold the lion's share of the market in the coming years. This is largely attributable to the region's technological maturity, early adoption of AI-powered conversational solutions, and extensive deployment across large enterprises and established retail and service networks.
Key Players Landscape and Outlook
The global conversational commerce market is being shaped by rapid advancements in artificial intelligence, natural language processing, and cloud-based conversational platforms that support real-time engagement, automated customer support, and seamless transaction execution. The competitive landscape comprises AI platform providers, enterprise software leaders, cloud service vendors, and specialized conversational AI developers. These players are prioritizing enhanced contextual intelligence, broader omnichannel deployments, and deeper integration of commerce functionalities, such as product discovery, checkout workflows, and analytics, within conversational interfaces to elevate user engagement and drive revenue growth.
The market outlook remains strong, driven by the expanding adoption of AI-powered conversational tools, the continued growth of digital commerce ecosystems, and rising demand for real-time, personalized consumer engagement across industries. Ongoing investments in multilingual capabilities, advanced analytics, and hybrid AI-human interaction models are expected to further accelerate innovation, scalability, and global deployment.
For instance, in May 2023, Zendesk launched Conversational Commerce capabilities that integrate with platforms like Meta's WhatsApp and Shopify to enable brands to connect support, marketing, and sales seamlessly within conversations, enhancing personalization and reducing friction in the buyer journey.
All segments will be provided for all regions and countries covered
Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.