MarketsandMarkets expects the global conversational Ai market size to grow from USD 4.8 billion in 2020 to USD 13.9 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 21.9% during the forecast period. Conversational AI is a form of technology that utilizes speech-based assistants and facilitates stronger interactions and greater engagement at scale across users and platforms. It combines speech-based technology, NLP, and ML into a single platform to develop and build applications for specific, as well as multiple use cases across verticals.
The solutions segment to hold a larger market size during the forecast period
Based on components, the edge AI software market is segmented into solutions and services. The solution segment of the report is subsegmented into software tools and platform, whereas the services segment is segmented into training and consulting, system integration and testing, and support and maintenance. The solutions segment is expected to account for the largest market size during the forecast period owing to the high flexibility and support offerd by edge AI solutions for different industries and activities, ranging from medical monitoring to building energy management.
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The mobile data segment to hold higher CAGR during the forecast period
The edge AI software market by data source has been segmented into video and image recognition, speech recognition, biometric data, sensor data, and mobile data. The mobile data segment is projected to grow at the highest CAGR during the forecast period as there has been tremendous growth in the data generated through mobile devices due to the excessive number of mobile users. Edge AI enables processing the generated data at the edge. Hence, less information needs to be sent to the cloud and back, leading to the adoption of edge AI solutions and services.
Key and emerging market players include Microsoft (US), Google (US), AWS (US), Oracle (US), IBM (US), Baidu (China), SAP (Germany), Artificial Solutions (Spain), Conversica (US), Haptik (India), Nuance (US), Rasa (Germany), Avaamo (US), Kore.ai (US), Solvvy (US), Pypestream (US), Inbenta (US), Rulai (US), Creative Virtual (US), Saarthi.ai (India), FIS (US), AmplifyReach (India), Interactions (US), Quosphere (US), Exceed.ai (US), Cognigy (Germany), SoundHound (US), Kasisto (US), Mindsay (US), and Clinc (US).
Microsoft (US) caters to a broad customer base in the regions of the Americas, EMEA, and APAC. The company provides Azure Bot Services, Microsoft Bot Framework, Azure Cognitive Services, and LUIS QnA Maker. By combining Azure Bot Services, Microsoft Bot Framework, Azure Cognitive Services, and LUIS QnA Maker, the company provides a strong development environment for creating conversational interfaces. Users can develop conversational interfaces using Microsoft services and deploy them on websites, apps, Cortana, Microsoft Teams, Skype, Slack, and Facebook Messenger. The company also offers Microsoft BotBuilder SDK, an open-source offering that can be combined with the other Microsoft services in this market.
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Google (US) is one of the major players in the conversational AI market. Headquartered in California, US, Google is a subsidiary of Alphabet, Inc., since October 2, 2015. It provides online advertising services in the US and across the globe. The company offers performance and brand advertising services and operates through Google and Other Bets segments. Dialogflow is a conversational AI platform provided by Google that enables users to build, train, and deploy conversational interfaces for websites, mobile applications, popular messaging platforms, and IoT devices. The company offers Dialogflow in two versions, namely, standard edition and enterprise edition. Dialogflow enables developers to build and deploy chatbots on 14 major platforms, such as Facebook Messenger, Google Assistant, Amazon Alexa, Cortana, Slack, and Twilio. The Dialogflow platform leverages the benefits of Google’s ML and NLP capabilities and offers more than 30 prebuilt agents along with support for 20+ languages. Dialogflow leverages the advantages of Chatbase’s analytics capabilities and utilizes Firebase for the serverless functionality, which users can integrate with conversational apps. Google relies heavily on its organic growth strategies and continuously aims at innovating next-gen products. It invests in R&D activities significantly to innovate its advertising, cloud, ML, search, and new products and services. It has made significant investments and advancements in AI. It is well-positioned to take advantage of the increasing demand for AI-enabled applications, AI tools for developers, and cloud-based AI services. Moreover, it adopts organic growth strategies to gain a competitive advantage in the conversational AI market.
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