Conversational Commerce Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The Conversational Commerce Market size is estimated at USD 13.27 billion in 2025, and is expected to reach USD 44.71 billion by 2030, at a CAGR of 27.5% during the forecast period (2025-2030).

Key Highlights

  • Conversational commerce is experiencing substantial growth, driven by the increasing adoption of digital and mobile technologies. Chat interfaces have become a preferred channel for both shopping and customer support. AI and data analytics enable brands to deliver personalized recommendations and streamlined experiences, improving conversion rates. Adopting omnichannel strategies and integrating social media, messaging apps, and voice assistants ensures a unified and accessible shopping experience.
  • Additionally, advancements in automation and real-time customer engagement tools are reducing friction and enhancing customer satisfaction. These factors collectively contribute to the expansion of conversational commerce, supporting its continued market growth.
  • To cater to the rising needs of the customer, many firms like Women's Best, Happy Socks, and others are deploying conversational commerce products. For example, Women’s Best, an Austrian women's fitness brand, has turned to WhatsApp as its primary channel for customer communication. This move allows them to swiftly address queries and keep customers informed about their order statuses.
  • As a result, the brand now handles a staggering 30,000 customer support requests monthly through WhatsApp. After integrating the WhatsApp Business API, Women's Best has achieved notable milestones: monthly handling of 30,000 customer service requests via WhatsApp, processing each customer inquiry 50% faster, and resolving 40 WhatsApp tickets per hour by a single agent.
  • Conversational commerce, which integrates chatbots and intelligent virtual assistants into online shopping, enhances customer interactivity and convenience. However, as these AI tools amass vast amounts of personal and financial data, concerns about data privacy and security have intensified. Regulatory bodies and consumer advocacy groups are increasingly scrutinizing how companies manage customer information within these AI systems. These data privacy and security risks lead to limits on the adoption of AI-based solutions, including conversational commerce solutions.
  • Macroeconomic factors play a significant role in influencing the conversational commerce market. Economic growth drives consumer spending and fosters digital adoption, directly affecting online engagement and purchasing behavior. Conversely, inflation and changes in interest rates can impact disposable incomes, thereby influencing purchasing power and the demand for digital solutions.
  • Additionally, shifts in fiscal policies and trade regulations can affect operational costs and strategies for market expansion. Consumer confidence and employment levels are critical factors shaping the adoption rate and revenue potential within the conversational commerce market.

Conversational Commerce Market Trends

Cloud to be the Leading Deployment Model

  • Cloud-based conversational software provides businesses with benefits such as scalability, round-the-clock accessibility, 24/7 availability, lower maintenance costs, swift deployment, adaptable usage, and seamless integration with other cloud services. These features empower businesses to automate customer interactions and enhance service experiences, all without requiring a vast IT infrastructure or personnel, supporting the market growth in the cloud deployment method.
  • Centralized cloud data analytics further enhances this agility, continuously refining promotional strategies and elevating customer experiences. In essence, the cloud is making conversational commerce more nimble, responsive, and efficient in today's ever-evolving retail environment. Further, according to the latest Flexera report, 80% of enterprise respondents indicated that they were adopting Microsoft Azure for public cloud usage.
  • Market growth is propelled by the rising adoption of SaaS-based conversational AI solutions; the surge in popularity of SaaS solutions is due to their ease of use, scalability, and quick setup. Additionally, companies are focusing more on their main strengths to stay competitive globally, driving growth opportunities for cloud-based conversation software.
  • For example, in March 2024, Gupshup, a market vendor providing solutions for conversational engagement, launched its Conversation Cloud. This complete suite of SaaS tools aims to change how businesses interact with customers. AI-driven conversations are significantly changing user interfaces, like the shifts seen with web and app interfaces. The Conversation Cloud provides businesses with essential tools to engage customers in this new era, showing the demand for cloud-based deployment and availability of cloud-based software in the market.
  • Collaborations among the stakeholders to support the cloud adoption in the market, market vendors, including Is Connectly, Inc., Resolve AI, and others, are increasingly making conversational software available in cloud environments through collaborations with cloud service providers.
  • For instance, in November 2024, Rezolve AI, a provider of conversational AI solutions, showcased its innovative prowess by forging consecutive strategic reseller partnerships with tech giants Microsoft and Google. These collaborations with two of the foremost leaders in generative AI and cloud technology promise to revolutionize business-consumer interactions throughout the consumer journey. Following these partnerships, Google Cloud will distribute Resolve AI’s Brain Suite globally. This move offers retailers seamless access to Rezolve AI’s advanced AI capabilities and lessens their commitments to Google Cloud agreements. Such a strategy is poised to bolster the cloud deployment of conversational commerce solutions in the market.

North America Holds Significant Market Share

  • Conversational commerce is rapidly gaining traction in North America, driven by technological innovations and shifting consumer preferences. A striking 80% of customers now demand real-time assistance from brands, highlighting the significance of conversational commerce in enhancing customer interactions.
  • Hootsuite reports that businesses adopting conversational commerce see a 10% revenue boost within the first six months. Additionally, integrating live chat features can elevate conversion rates by an impressive 82%, showcasing the effectiveness of these tools in driving sales.
  • The U.S. emerges as a frontrunner in North America's conversational commerce scene. Companies like NIPSCO are leveraging chatbot services and live chat technologies to enhance customer interactions. Meanwhile, the media and entertainment sector is utilizing chatbot development tools for improved content discovery. A notable example is Narcity Media Group's launch of Narcity Chat, an AI-driven search and chatbot feature powered by ChatGPT, underscoring the industry's pivot towards AI-driven personalized user experiences.
  • Regional brands are integrating conversational commerce across various platforms, including social media, websites, and messaging apps. This comprehensive approach not only streamlines customer interactions but also boosts brand engagement. Given these trends, the market anticipates increased adoption in the coming years. For instance, Amazon.com Inc recently unveiled Rufus, an AI-driven shopping assistant. Trained on Amazon’s vast product catalog, customer reviews, and web information, Rufus answers diverse shopping queries, offers product comparisons, and provides context-driven recommendations.
  • Retail and e-commerce giants are harnessing voice assistance to streamline the shopping experience. Voice assistants are revolutionizing conversational commerce, facilitating natural customer-business interactions. They enable real-time product searches, personalized suggestions, and voice-commanded purchases, enhancing consumer convenience and engagement while offering businesses valuable insights.

Conversational Commerce Industry Overview

The market landscape is highly competitive, with established players and innovative startups driving continuous improvements in features and customer service. This competitive intensity increases pressures on pricing and innovation.

Advancements in AI and natural language processing technologies are key market drivers, necessitating regular platform updates for companies to maintain their competitive position. This ongoing innovation cycle contributes to heightened competition.

Companies aim to differentiate themselves by offering unique functionalities, such as advanced personalization, omnichannel integration, and seamless CRM integration, to capture market share. Established brands with proven track records benefit from customer trust, creating barriers for new entrants attempting to gain a foothold.

Low switching costs and the availability of similar offerings often lead to price competition, which can negatively impact profit margins across the industry.

The overall intensity of competitive rivalry in the market studied is high, and it is expected to remain the same over the forecast period.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support


1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET INSIGHTS
4.1 Market Overview
4.2 Industry Attractiveness - Porter's Five Forces Analysis
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Buyers
4.2.3 Threat of New Entrants
4.2.4 Threat of Substitutes
4.2.5 Intensity of Competitive Rivalry
4.3 Analysis of Macro-Economic Scenarios on the Studied Market
4.4 Industry Value Chain Analysis
5 MARKET DYNAMICS
5.1 Market Drivers
5.1.1 Increasing Popularity of Messaging Applications
5.1.2 Advancements in AI and Natural Language Processing (NLP)
5.2 Market Restraints
5.2.1 Data Privacy and Security Concerns
5.3 Case Study Analysis
5.4 Key Trends
5.4.1 AI powered chatbots
5.4.2 Personalization And Data Analytics
5.4.3 Live Chat
5.4.4 Visual Commerce
5.4.5 Voice Commerce
5.4.6 Automated Text Message
5.4.7 Proactive Chatbots For Brands
5.4.8 Interactive Buyer Guides
5.4.9 Promotional Activities
5.4.10 Enhancing Shopping Features Through Social Media
6 MARKET SEGMENTATION
6.1 By Type
6.1.1 Chatbots
6.1.2 Intelligent Virtual Assistants
6.2 By Component
6.2.1 Software
6.2.2 Services
6.3 By Deployment Model
6.3.1 Cloud
6.3.2 On-Premises
6.4 By Organization Size
6.4.1 SMEs
6.4.2 Large Enterprises
6.5 By End-user Industries
6.5.1 BFSI
6.5.2 IT and Telecom
6.5.3 Healthcare
6.5.4 Travel and Hospitality
6.5.5 Retail and Ecommerce
6.5.6 Others
6.6 By Geography
6.6.1 North America
6.6.2 Europe
6.6.3 Asia
6.6.4 Australia and New Zealand
6.6.5 Latin America
6.6.6 Middle East and Africa
7 COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 Glia Technologies, Inc.,
7.1.2 Connectly Inc.
7.1.3 Charles GmbH
7.1.4 Conversation24 Ltd.
7.1.5 Webio
7.1.6 Respond.io
7.1.7 Quiq, Inc.
7.1.8 Invoca, Inc.
7.1.9 Jio Haptik Technologies Limited
7.1.10 yellow.ai (Bitonic Technology Labs Pvt Ltd)
7.1.11 Octane AI, Inc.
7.1.12 Attentive Mobile Inc
7.1.13 SleekFlow Technologies Limited
7.1.14 CogniCor Technologies
7.1.15 Wizard Commerce, Inc.
7.1.16 Yalo.ai
7.1.17 Action.ai
7.1.18 SalesLoft inc.
7.1.19 LivePerson Inc.
7.1.20 Inbenta Holdings Inc.
7.1.21 Gupshup
7.1.22 Boost AI AS
7.1.23 Sprinklr, Inc.
8 INVESTMENT ANALYSIS
9 MARKET OPPORTUNITIES AND FUTURE TRENDS

Download our eBook: How to Succeed Using Market Research

Learn how to effectively navigate the market research process to help guide your organization on the journey to success.

Download eBook
Cookie Settings