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Chatbot Market to Grow by USD 9.6 Billion from 2025-2029, Benefits of Chatbot Solutions Boosting Revenue, AI Impact on Market Landscape – Technavio

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NEW YORK, Feb. 10, 2025 /PRNewswire/ — Report with market evolution powered by AI – The global chatbot market size is estimated to grow by USD 9.6 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of  42.9%  during the forecast period. Several benefits associated with using chatbots solutions is driving market growth, with a trend towards integration of chatbots with communication channels. However, lack of awareness and standardization of chatbot services  poses a challenge. Key market players include 247.ai Inc., Acuvate, Aivo, Amazon.com Inc., Avaamo Inc., Botsify, Conversica Inc., Creative Virtual Ltd., eGain Corp., Google LLC, Inbenta Holdings Inc., International Business Machines Corp., Kore.ai Inc., Meta Platforms Inc., Microsoft Corp., OpenAI L.L.C., Oracle Corp., ServiceNow Inc., Teneo, and Zoom Video Communications Inc..

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View Free Sample PDF

Chatbot Market Scope

Report Coverage

Details

Base year

2024

Historic period

2019 – 2023

Forecast period

2025-2029

Growth momentum & CAGR

Accelerate at a CAGR of 42.9%

Market growth 2025-2029

USD 9631.4 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

31.1

Regional analysis

North America, APAC, Europe, South America, and Middle East and Africa

Performing market contribution

APAC at 37%

Key countries

US, China, UK, Canada, Brazil, Germany, Japan, India, Spain, and UAE

Key companies profiled

247.ai Inc., Acuvate, Aivo, Amazon.com Inc., Avaamo Inc., Botsify, Conversica Inc., Creative Virtual Ltd., eGain Corp., Google LLC, Inbenta Holdings Inc., International Business Machines Corp., Kore.ai Inc., Meta Platforms Inc., Microsoft Corp., OpenAI L.L.C., Oracle Corp., ServiceNow Inc., Teneo, and Zoom Video Communications Inc.

Market Driver

The chatbot market is experiencing significant growth with trends like Generative models and Natural Language Processing (NLP) taking center stage. OpenAI’s GPT-4 and AI advancements are driving the development of self-learning chatbots and LLMs. Chatbot solutions are being adopted by various industries including IT and ITeS, Telecom, Healthcare, and Financial organizations. Audio/voice bots and messaging facilities are becoming popular for customer service activities. NLP technology helps chatbots understand customer intent and prompt relevant answers. Open AI chatbot, standalone and website chatbots, and messenger applications are transforming customer experience touchpoints. AI and NLP software applications are enabling virtual assistants to provide instant service and actionable insights. Consumer analytics and recommendation algorithms are enhancing online shopping interaction and in-store purchases. Chatbot developers are focusing on integrating voice recognition and messaging services on social networking sites. Enterprises are leveraging chatbots for handling customer queries and leads, mobile alerts, updates, and nearby stores opening hours and contact information. Chatbot technology is revolutionizing customer service by providing correct information around the clock, reducing the workload on customer service employees, and improving overall customer experience. 

Chatbots have become an essential component of omnichannel communication strategies, enabling businesses to engage with customers on various platforms. Microsoft Bot Connector, a communication service, facilitates this integration by linking bots with channels like Skype, email, and more. The widespread use of the internet, digitalization, and mobile devices have transformed interactions between people and companies. For instance, Meta (Facebook)-owned messaging apps, Messenger and WhatsApp, send 60 billion messages daily, surpassing the number of global SMS messages. Facebook’s significant user base in the chatbot sector allows users to receive bank notifications from institutions like Bank of America and order food from businesses such as Burger King. 

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 Market Challenges

The chatbot market is experiencing significant growth due to advancements in AI technology, particularly generative models and Natural Language Processing (NLP). OpenAI’s ChatGPT and GPT-4 are leading the way with their advanced conversational experiences. However, challenges remain for chatbot developers, including integrating self-learning capabilities, supervised machine learning, and NLP technology to accurately understand and respond to customer intent. IT and ITeS, telecom, healthcare, financial organizations, grocery outlets, and other industries are adopting chatbot solutions to enhance customer service activities. Messaging facilities on platforms like WhatsApp, WeChat, Facebook Messenger, and messenger applications are driving this trend. Audio/voice bots and standalone chatbots are popular choices for enterprises looking to handle customer queries outside of working hours. Chatbot developers are also leveraging consumer analytics and recommendation algorithms to provide actionable insights and improve user experience. AI and NLP software applications are transforming virtual assistants into intelligent customer experience touchpoints, prompting relevant answers to user queries and providing instant service. Market requirements include integrating voice recognition, SMS, and APIs to create a seamless user experience. In the chatbot industry, AI language tools like ChatGPT are revolutionizing conversational experiences across various messaging channels and social networking sites. Organizations are using chatbots to generate leads, facilitate in-store purchases, and provide mobile alerts and updates. However, challenges remain, such as ensuring correct information and handling complex customer queries. Chatbot solutions must continue to evolve to meet market requirements and provide a positive user experience.The chatbot market faces significant challenges, including low awareness and standardization of chatbot services in developing countries like Brazil and India. These regions lack sufficient IT infrastructure and vendor penetration, resulting in limited knowledge about chatbot technology. Security concerns, such as privacy and data protection, also hinder market growth, raising valid concerns among potential users. These factors collectively restrict revenue generation in the global chatbot market.

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Segment Overview 

This chatbot market report extensively covers market segmentation by  

End-userRetailBFSIGovernmentTravel And HospitalityOthersProductSolutionsServicesGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And Africa

1.1 Retail- The retail industry is experiencing significant growth in the adoption of chatbots, particularly in the e-commerce sector. Major players like Amazon, Flipkart, Alibaba, and Snapdeal are integrating chatbots to improve customer experience during online product searches. These chatbots facilitate quick and effective resolution of payment-related queries, enhancing overall service levels. Retailers face the challenge of providing an efficient shopping experience on mobile platforms, as shoppers increasingly prefer mobile devices. Brands such as Swiggy and Goibibo have launched chatbot features to cater to this trend. AI-integrated chatbots offer immense potential in both e-commerce and brick-and-mortar stores. By analyzing customer purchase behavior and preferences, chatbots can provide personalized product recommendations. Integration into e-commerce platforms and availability 24/7 make chatbots an indispensable tool for retailers, driving market growth during the forecast period.

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Research Analysis

The chatbot market is experiencing significant growth due to advancements in generative models and natural language processing (NLP) technology. GPT-4, a new generation of language models, is revolutionizing the way chatbots understand and respond to user queries. Self-learning chatbots use AI technology to improve their responses based on user interactions, providing more accurate and prompt relevant answers. Messaging facilities have become the new customer service touchpoints for various industries, including financial organizations and grocery outlets. NLP software applications enable chatbots to understand user intent and provide personalized solutions. Open AI chatbots, such as ChatGPT, are leading the way in consumer analytics and virtual assistance, enhancing the overall customer experience. APIs allow for seamless integration of chatbots into existing systems, making them an essential tool for businesses looking to streamline their customer service activities.

Market Research Overview

The chatbot market is experiencing significant growth due to advancements in generative models and natural language processing (NLP) technology. GPT-4, the latest AI model, is revolutionizing chatbot solutions by enabling self-learning and understanding context. NLP technology is the backbone of these chatbots, allowing them to understand customer intent and prompt relevant answers. Chatbot solutions are not limited to text-based interactions. Audio/voice bots are gaining popularity, especially in IT and ITeS, telecom, healthcare, and financial organizations. Messaging facilities on messenger applications like WhatsApp, WeChat, and Facebook Messenger have become essential customer service touchpoints. AI and NLP software applications are transforming industries, from customer service activities in enterprises to grocery outlets and financial organizations. Consumer analytics provides actionable insights, enabling personalized recommendations and leads. Chatbot developers are creating standalone chatbots and website chatbots, integrating voice recognition and recommendation algorithms. Instant service through chatbots is becoming a must-have for online shopping interactions, product selections, and mobile alerts. Organizations are leveraging chatbots to handle customer queries, reducing the workload on customer service employees and improving customer experience. Messaging services and social networking sites are essential channels for these chatbots, providing 24/7 service and correct information to customers.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

End-userRetailBFSIGovernmentTravel And HospitalityOthersProductSolutionsServicesGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Infiniti Research, Inc.

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/C O R R E C T I O N — Applied Intuition, Inc./

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9 minutes ago

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May 2, 2026

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In the news release, Applied Intuition Collaborates with Heidelberg Materials to Advance Innovation in Quarry Operations with Autonomous Haulage Fleets, issued 30-Apr-2026 by Applied Intuition, Inc. over PR Newswire, we are advised by the company that changes have been made. The complete, corrected release follows, with additional details at the end:

Applied Intuition Collaborates with Heidelberg Materials to Advance Innovation in Quarry Operations with Autonomous Haulage Fleets

Deployment brings intelligent, vehicle-based autonomy to Australia, establishing a new operating model for construction and mining environments.

SUNNYVALE, Calif., April 30, 2026 /CNW/ — Applied Intuition, Inc., a leader in physical AI, today announced its collaboration with Heidelberg Materials, one of the world’s largest integrated manufacturers of building materials and solutions, to deploy autonomous haulage systems for Heidelberg Materials’ quarry operations, starting at a site in Australia.

Applied Intuition will provide its Self-Driving System (SDS) for Construction to support autonomous haulage operations within Heidelberg Materials’ fleet of construction and mining vehicles in Australia. The deployment marks the next real-world application of Applied Intuition’s autonomy platform in industrial environments. Upon successful completion, it will support the expansion of autonomous operations within Heidelberg Materials’ broader Australian network.

The collaboration also challenges the standard industry model. While autonomy solutions traditionally target the largest quarry sites, this system is designed for smaller operations, including those running just two 40-ton trucks, making it deployable across quarry sites of varying size worldwide.

“No two quarry or construction sites operate the same way, with different layouts, constraints and economics,” said Qasar Younis, co-founder and CEO of Applied Intuition. “We’ve built our platform to adapt to that reality. This partnership shows we can take the same core system used in large mining operations and apply it to smaller, infrastructure-constrained quarry sites, scaling it across hundreds of unique locations.”

For Heidelberg Materials, the partnership is aimed at enhancing safety and operational performance. It also reflects the need for an autonomy solution that can operate at large sites and smaller ones too, whereas traditional autonomous haulage systems are often too infrastructure-heavy or costly to scale. For Applied Intuition, it serves as a proof point that its autonomy platform is designed not just for one-off deployments, but for global scale across construction, quarry and mining environments of any size.

Applied Intuition’s system runs directly on the vehicle, with integrated perception, decision-making and safety systems onboard, enabling reliable operation without constant connectivity or heavy site infrastructure.

The collaboration builds on Applied Intuition’s growing presence in construction and mining autonomy and reinforces its broader physical AI strategy. The same core platform has already been deployed in other industries, including trucking and defense, with learnings from each domain contributing to continuous system improvements. Applied Intuition’s SDS platform strategy also enables the company to bring technologies proven in other domains into construction and mining, helping accelerate development and deployment.

Through this project, Applied Intuition demonstrates the range of its autonomy platform, from some of the largest mining trucks in the world to smaller quarry vehicles operating in constrained, lower-infrastructure environments. Together, these deployments highlight the company’s approach to building scalable autonomy for construction and mining from the ground up.

To learn more about how Applied Intuition is building the future of construction autonomy, visit applied.co.

About Applied Intuition
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Gothenburg, Sweden; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

Correction: An earlier version of this release incorrectly stated the location of the site noted in the first paragraph.

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SOURCE Applied Intuition, Inc.

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MOREH Demonstrates Production-Ready LLM Inference on Tenstorrent Galaxy, Achieving DGX A100-Class Performance with Improved Cost Efficiency

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May 2, 2026

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Reduces HBM Costs with GPU–Tenstorrent Heterogeneous Distributed Serving
First unveiled at Tenstorrent’s launch event, TT-Deploy, in San Francisco on May 1

SANTA CLARA, Calif., May 1, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, announced that it has successfully validated LLM inference performance on the Tenstorrent Galaxy Wormhole system using its proprietary ‘MoAI Inference Framework.’

Based on tests across leading Mixture-of-Experts (MoE) models—including GPT-OSS, Qwen, GLM, and DeepSeek—Moreh achieved LLM inference performance on Tenstorrent Galaxy Wormhole matching or surpassing NVIDIA DGX A100-class systems, demonstrating a compelling alternative to conventional GPU-centric AI infrastructure.

Moreh also improved cost efficiency by implementing a disaggregated serving architecture that combines GPUs with Tenstorrent Wormhole chips. By utilizing Tenstorrent processors as dedicated prefill accelerators, the company reduced reliance on high-cost HBM and lowered overall infrastructure costs.

The results were first unveiled at Tenstorrent’s launch event, TT-Deploy, held on May 1 in San Francisco.

As a strategic partner of Tenstorrent and a major external contributor to Metalium, Moreh showcased a live LLM inference demo at the event. Building on its experience operating AMD GPU-based production environments in real-world data centers, the company presented its latest technical achievements in ‘Production-Ready LLM Inference on Tenstorrent Galaxy.’

MoAI Inference Framework is a disaggregated inference solution that enables unified operation of heterogeneous GPUs and NPUs—including NVIDIA, AMD, and Tenstorrent—within a single cluster. This allows enterprises to build flexible AI infrastructure strategies without vendor lock-in.

Moreh CEO Gangwon Jo stated, “Achieving production-grade LLM inference performance and stability on Tenstorrent-based systems marks a significant milestone,” and added, “We will continue to enhance performance through deeper optimization across heterogeneous architectures and closer integration with Tenstorrent NPUs.”

Moreh is developing its own core AI infrastructure engine and, through its foundation LLM subsidiary Motif Technologies, is building end-to-end capabilities spanning both infrastructure and model domains. Simultaneously, the company is making its mark in the global market through collaborations with key partners such as AMD, Tenstorrent, and SGLang.

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SOURCE Moreh

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US Startup PerZeption Inc. Announces Collaboration with Alcon Research

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May 2, 2026

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BOSTON, MA, May. 1, 2026 /PRNewswire/ — Advancements in vision correction evaluation require methods that offer both precision and efficiency in detecting clinically meaningful visual differences. Addressing this need, PerZeption is set to present new data validating its AIM+ CSF modeling technology at the Association of Research in Vision and Ophthalmology (ARVO) annual meeting.

Attendees are invited to learn more about this innovative approach during the poster session on May 4, 2026, from 11:15 AM to 1:00 PM, at posterboard #0941.

“We are very excited to collaborate with Alcon, one of the largest companies within the Ophthalmology sector worldwide. “, Dr. Jan Skerswetat said. “The results, presented by Dr Derek Nankivil, indicate that our technology enables rapid, repeatable, and highly sensitive assessment of contrast vision.”

The abstract, titled ‘AIM+ CSF modeling enables efficient detection of clinically meaningful visual differences,’ outlines how PerZeption’s technology supports sensitive, low-burden visual assessment for vision correction evaluation. Data indicates that with approximately six adaptive displays of stimuli and two repeats, studies show around 20 subjects can achieve 90% power to detect a 1 JND (Just Noticeable Difference) change in AULCSF (Area Under the Log Contrast Sensitivity Function). This research also demonstrates AIM+ CSF’s stable repeatability in less than 3 minutes, absence of bias, and robust performance, validating its role as an effective tool for objective visual performance evaluation.

This joint effort highlights a shared dedication to advancing ophthalmology research and developing precise tools for visual assessment. The ARVO annual meeting serves as the world’s foremost event for ophthalmology research, offering a vital platform for sharing scientific breakthroughs and fostering dialogue within the global vision science community.

“In addition to all the exciting research presentations that leverage PerZeption technology at this years’ ARVO meeting, we are also proud to be showcasing PerZeption’s battery of functional tests at our booth, #4027.” Dr. Skerswetat added and noted that there will be opportunities to try out our technology.

This presentation at ARVO represents a significant step in the validation and recognition of PerZeption’s contributions to advanced visual assessment technologies.

About PerZeption Inc
PerZeption delivers vision testing with a rapid, self-administered, and adaptive psychophysical platform delivered via cloud-based software on standard tablets or all-in-one computers. Our flagship platform, Angular Indication Measurement (AIM), enables testing of over 20 visual functions. Our novel approach equips researchers and clinicians with a comprehensive range of visual functions and introduces new tests for which there are no currently available devices. We reduce chairtime. Self-administered tests on a single device in combination with proprietary methods that rapidly assess vision, reduce user’s burden and require minimal training or space, unlike bulky, specialized single-use devices. Finally, cloud-based delivery supports secure in-clinic and remote testing, ensuring consistent, trackable results for clinicians and pharmaceutical companies. 

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SOURCE PerZeption

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