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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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CM Global Services Announces Project Santos, a Planned 50-Megawatt AI Data Center Campus in ERCOT South

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CM Global Services targets a site and engages with strategic partners to become operational in the AI data center space.

DENVER, July 23, 2026 /PRNewswire/ — CM Global Services, LLC (CMGS) today announced Project Santos, its plan to develop a 50-megawatt AI data center campus for a site in the ERCOT South grid zone. CMGS is a long-standing strategic partner of Compass Mining, Inc. and is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. The announcement was made by Shanon Squires, Chief Mining Officer of Compass Mining, during a panel on bitcoin mining companies diversifying into AI infrastructure at the Energy Investors Forum.

CMGS intends to deliver Project Santos in two phases. The first phase, a 7-megawatt, 5 MW of IT Load Tier III facility purpose-built for AI inference workloads, is targeted for completion by the end of the first quarter of 2027. A subsequent 43-megawatt expansion, bringing the site to its fully planned 50-megawatt capacity

“This is a disciplined next step for CM Global Services, drawing upon its expertise in standing up infrastructure, while Compass Mining simultaneously continues to be the gold standard in Bitcoin mining-related services,” said Shanon Squires. “Bitcoin mining remains the core of Compass Mining. CMGS’ Project Santos reflects the power infrastructure and site development discipline CMGS built over years, and we’re pursuing this initiative on our own terms.”

“This is a new step forward for CMGS, as we continue building for the future,” said Vishnu Mackenchery, Managing Director at CMGS. “Project Santos marks our entry into AI infrastructure and inference, and we’re charting our own path, moving fast to get there.”

GPU-as-a-Service for Enterprise and Neocloud Customers

Project Santos is being developed as a GPU-as-a-Service (GPUaaS) platform. Rather than requiring customers to bring their own hardware, CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer directly to off-takers as dedicated, single-tenant or multi-tenant compute. The company’s ideal customer profile is AI enterprise organizations seeking dedicated capacity, and CMGS is also in active discussions with neocloud providers.

Project Status

Site: located in the ERCOT South grid zoneCompute: CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer as GPU-as-a-Service to off-takersTotal planned capacity: 50 megawatts, 35 MW of IT to be delivered in two phasesPhase 1: 7 megawatts, 5 MW of IT load Tier III, targeted for completion by end of Q1Phase 2: adding a 43-megawatt expansion, 30 MW of IT load with utility-supported expansionCustomer profile: AI enterprise companies are the ideal customer; CMGS is also in active discussions with neocloud providers

About CMGS

CM Global Services (CMGS) is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. CMGS supports clients with end-to-end logistics solutions, hardware procurement, and site-level execution for next-generation compute infrastructure.

About CMGS and Compass Mining Partnership

Compass Mining serves as a strategic partner and advisor to CM Global Services (CMGS), supporting its growth across global logistics, hardware sales, and infrastructure services. As CMGS expands its focus into AI infrastructure and site development, Compass Mining’s guidance helps shape its strategic direction and execution. Together, the two organizations continue to collaborate on delivering end-to-end solutions for clients building next-generation compute infrastructure.

Disclaimer

This communication contains forward-looking statements relating to a potential closing of a transaction. There can be no assurance that the proposed transaction will be completed on the terms described, or at all. Forward-looking statements are subject to significant business, economic, and competitive uncertainties, many of which are beyond our control. This communication is for informational purposes only and does not constitute an offer to sell, or a solicitation of an offer to buy, any securities of the company. Furthermore, investing in or engaging with our company involves substantial risk, and past performance or previous communications are not indicative of future results. There is no guarantee, assurance, or warranty that any specific financial outcome, return on investment, or overall results will be achieved. Actual results may differ materially and adversely from those expressed, projected, or implied in any forward-looking statements. Investors and stakeholders should not rely solely on preliminary press releases regarding potential transactions or projected financial metrics when making investment decisions. We undertake no obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by applicable securities laws. Prospective investors are strongly encouraged to conduct their own independent due diligence and consult with a qualified, independent financial or legal advisor prior to making any investment.

Contact
All inquiries can be made to: Santos@CMGlobalServices.io 

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SOURCE CM Global Services

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Advantech Unveils Next-Gen AI Infrastructure Solutions Powered by AMD EPYC™ 9006 Series Processors

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TAIPEI, July 23, 2026 /PRNewswire/ — Advantech, a global leader in industrial edge computing and edge AI solutions, today announced its next-generation server and network platforms powered by the latest AMD EPYC™ 9006 Series processors. Designed to accelerate AI infrastructure from the data center to the intelligent edge, Advantech’s 6th Gen AMD EPYC-powered servers deliver the performance, scalability, and reliability organizations need for AI, HPC, storage, networking, and mission-critical industrial workloads.

At AMD Advancing AI 2026, Advantech will showcase its latest 2U 4-node edge server and EATX server board, demonstrating how its workload-ready server solutions enable customers to build scalable, high-performance AI and edge computing infrastructure with greater deployment confidence.

Continuing Performance Leadership with AMD EPYC 9006 Series Processors

6th Gen AMD EPYC server CPUs bring continued leadership in performance, efficiency, memory bandwidth, and next-generation I/O. Featuring up to 128 cores and 256 threads, advanced 2nm process technology, “Zen 6” and “Zen 6c” architecture, up to 20% average generational performance uplift, and up to 20% performance-per-watt improvement, AMD EPYC 9006 Series processors are designed to support more virtual machines, higher throughput, and better system efficiency. With up to 128 PCIe Gen6 lanes per CPU, CXL™ 3.1 memory expansion, and support for DDR5 8000NHz and MRDIMM 12800MHz for high memory bandwidth, Advantech edge server solutions deliver balanced compute, memory, and I/O performance for next-generation AI, telco, edge, and storage infrastructure.

Key Features Include:

Up to 128 cores / 256 threads with “Zen 6” and “Zen 6c” architectureAdvanced 2nm process technology for improved performance and efficiencyUp to 20% average generational performance uplift and 20% performance-per-watt improvementDDR5-8000 and MRDIMM 12.8G support for higher memory bandwidth and capacityPCIe® Gen6 scalability: up to 128 lanes for 1 CPU and up to 196 lanes for 2 CPUsCXL™ 3.1 support for optimized memory expansion

Comprehensive Edge Server Solutions from Edge to Cloud

Advantech’s edge server portfolio powered by AMD EPYC™ 9006 Series processors delivers a complete board-to-system lineup for AI infrastructure, data centers, cloud, HCI, HPC, edge computing, industrial applications, and high-performance networking. The first-wave portfolio includes:
(1) The SKY-642E5, 4U MGX GPU server, for large-scale AI acceleration
(2) The SKY-722E5, 2U DC-MHS server with DC-SCM support, for modular data center and edge AI deployments
(3) The SKY-712E5, 1U DC-MHS server, supporting HHHL and FH-3/4L expansion cards for high-density enterprise edge and cloud workloads
(4) The SKY-822E5, 2U short-depth DC-SCM modular server, supporting 2–3 dual-slot GPU cards for space-constrained edge data centers
(5) The SKY-924E5F, 2U 4-node front-access server, for distributed edge computing,
(6) The ASMB-982 & ASMB-832 server boards for flexible, high-expandability system designs.

These new platforms also support PCIe Gen6 scalability, GPU-optimized architecture, advanced DDR5/MRDIMM memory, and AFA-ready high-density E1.S/E3.S NVMe SSD storage to meet low-latency data access, high-throughput storage performance, and scalable infrastructure for data-intensive AI and edge-cloud workloads.

Expanding the portfolio further, Advantech also introduces the FWA-6084, the 2U network appliance and is designed for demanding network security and edge AI workloads. It features DDR5/MRDIMM memory capability, eight Gen6 network module cards, and one PCIe Gen5 x16 slot for GPU or add-on card expansion. It is well positioned to support line-speed multiple 200G network workloads without compromise.

Together with Advantech’s unique service advantages—including 3-5-10 service guarantee, strict revision control, stable component supply, worldwide local support, and custom-ready integration—the new portfolio supports customers reduce deployment risk, secure long-term product roadmaps, and accelerate workload-ready AI and edge-cloud infrastructure from concept to deployment.

Explore more product information, please contact us or visit the Advantech x AMD website.

About Advantech

Advantech is a global leader in IoT intelligent systems and embedded platforms, driven by its vision of “Enabling an Intelligent Planet.” To address the growth of edge computing and AI, Advantech focuses on five key markets: Edge Intelligence Systems, Manufacturing, Energy and Utilities, iHealthcare, and iCity Services & iRetail. By integrating edge computing hardware, WISE-IoT software, sector-specific AI solutions, and domain expertise, Advantech creates an orchestration model that connects industrial ecosystems and accelerates industrial intelligence with partners and customers.(www.advantech.com

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SOURCE Advantech Co., Ltd.

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MulticoreWare and AMD Collaborate to Advance Physical AI and Autonomous Robotics on AMD Platforms

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Companies Demonstrated Real-Time Multimodal AI and Vision-Language-Action Workflows on AMD Ryzen™ AI Platforms at AMD Advancing AI 2026

SAN JOSE, Calif., July 23, 2026 /PRNewswire/ — MulticoreWare, Inc., a global technology company specializing in AI software solutions, physical AI, accelerated computing, and engineering services, today announced its ongoing collaboration with AMD to advance autonomous robotics and edge intelligence on AMD platforms.

As part of this collaboration, MulticoreWare joined AMD at AMD Advancing AI 2026 to present ‘Enabling Physical AI on AMD’, demonstrating how advanced vision, language, and action (VLA) models can drive real-time robotic intelligence on AMD Ryzen™ AI Embedded platforms.

As AI increasingly moves from the cloud into robots, autonomous systems, and intelligent edge devices, organizations need efficient ways to run sophisticated AI models closer to where decisions need to be made. Together, AMD and MulticoreWare are helping developers bring advanced perception, reasoning, and action capabilities to AMD-powered systems.

At AMD Advancing AI 2026, AMD and MulticoreWare demonstrated how multimodal VLA models run on AMD Ryzen™ AI Embedded integrated GPUs using AMD ROCm™, enabling robots to perceive, reason, and act in real time. The session showcased practical guidance for AI developers, robotics engineers, and innovators building next-generation intelligent machines on AMD Embedded platforms.

“Physical AI is reshaping how machines perceive, decide and act in the real world,” said Sumit Shah, Head of Product Management and Marketing, Adaptive and Embedded Computing Group, AMD. “AMD Ryzen™ AI Embedded X100 Series processors deliver a scalable, open x86 Embedded platform that unifies AI, real-time control and industrial reliability to enable the generation of autonomous systems without locking developers into a single compute architecture or software stack.”

“A Physical AI system depends on a tightly integrated loop between perception and actuation. It must operate in real time, on real hardware, and in environments that are inherently unpredictable,” said Vish Rajalingam, VP & GM, Mobility and Transportation BU at MulticoreWare. “That makes it a hardware-software co-design challenge, not simply an AI inference problem. Building on the open-source AMD Robotics Software Suite, we work closely with OEMs to optimize the entire stack so that latency, reliability and accuracy targets are consistently achieved in production environments. That’s the integration MulticoreWare and AMD deliver together to move intelligent robotic systems from prototype to deployment.”

This session builds on more than 15 years of collaboration, with MulticoreWare delivering software optimization, AI, and engineering expertise across the AMD ecosystem, including Ryzen™ AI, Ryzen™, AMD EPYC™, AMD Instinct™, AMD Radeon™, and adaptive computing technologies.

About MulticoreWare

MulticoreWare, Inc. is a global technology company delivering AI software solutions and engineering services that accelerate innovation in Physical AI, Agentic AI, Robotics, Edge Intelligence, and Accelerated Computing. With expertise in multimodal AI, Vision-Language-Action (VLA) models, sensor perception and fusion, AI optimization, embedded systems, and high-performance software, MulticoreWare helps customers transform advanced AI technologies into production-ready solutions. Its innovations power applications across automotive, robotics, industrial automation, smart cities, healthcare, defense, and intelligent edge devices, while its video codec technologies enable next-generation video experiences worldwide.
www.multicorewareinc.com

AMD, the AMD Arrow logo, EPYC, Instinct, Radeon, Ryzen and combinations thereof are trademarks of Advanced Micro Devices, Inc.

Contact:
Suchithra Thyagarajan
VP – Corporate Marketing
marcom@multicorewareinc.com 

 

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SOURCE MulticoreWare Inc.

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