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The Voice Assistant Application Market is set to grow by USD 21.94 Billion from 2024-2028, driven by digital transformation and AI-powered market evolution – Technavio

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NEW YORK, Sept. 20, 2024 /PRNewswire/ — The global voice assistant application market size is estimated to grow by USD 21.94 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 40.94% during the forecast period. digital transformation is driving market growth, with a trend towards growing demand for smart homes and development of smart cities. However, data privacy and security concerns associated with voice assistant application poses a challenge – Key market players include Alibaba Group Holding Ltd., Alphabet Inc., Amazon.com Inc., Apple Inc., Artificial Solutions International AB, Baidu Inc., Huawei Technologies Co. Ltd., International Business Machines Corp., Microsoft Corp., Oracle Corp., Orbita Inc., Robin Labs, RoboBot Studio, Salesforce Inc., Samsung Electronics Co. Ltd., SAP SE, SoundHound AI Inc., Verbio Technologies SL, Voiceflow Inc., and Xiaomi Communications Co. Ltd..

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View the snapshot of this report

Voice Assistant Application Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 40.94%

Market growth 2024-2028

USD 21937.8 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

31.94

Regional analysis

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

Performing market contribution

North America at 32%

Key countries

US, China, UK, Canada, and Germany

Key companies profiled

Alibaba Group Holding Ltd., Alphabet Inc., Amazon.com Inc., Apple Inc., Artificial Solutions International AB, Baidu Inc., Huawei Technologies Co. Ltd., International Business Machines Corp., Microsoft Corp., Oracle Corp., Orbita Inc., Robin Labs, RoboBot Studio, Salesforce Inc., Samsung Electronics Co. Ltd., SAP SE, SoundHound AI Inc., Verbio Technologies SL, Voiceflow Inc., and Xiaomi Communications Co. Ltd.

Market Driver

The voice assistant application market is experiencing significant growth as consumers prioritize convenience with electronic devices, particularly in the context of the smart home concept. In regions with the highest penetration, such as North America and Europe, voice assistant applications are integrated into home appliances to execute tasks based on human commands. Developing economies in Asia Pacific are also adopting this technology. For instance, Godrej Interio, a subsidiary of Godrej Industries Ltd., is developing connected homes in India. However, the company anticipates it will take some time for the concept to gain traction. Amazon Alexa and Google Home are popular voice assistant applications that enable voice-controlled smart home devices. These devices allow users to manage various functions, such as turning on lights or adjusting thermostats, using simple voice commands. Vendors are continuously integrating these smart home devices with voice assistant applications to create a more user-friendly environment. Voice assistant applications are also transforming transportation, urban planning, and city safety by utilizing AI platforms to track user habits, behavioral characteristics, and activities. This data can be used to personalize products and services to meet evolving user needs. Customer service chatbots, powered by voice assistant applications and natural language processing, instantly handle queries and resolve basic issues, enhancing the overall customer experience. Major global companies like Microsoft, IBM, and Alphabet are driving the development of smart cities through innovative initiatives and solutions. Cities such as Amsterdam, Barcelona, Stockholm, and Santa Cruz are already considered smart cities. Developing countries, including India, are implementing smart city projects, focusing on predictive risk management and consumer experience management to monitor consumer data and provide analytics to end-user enterprises. The number of smart cities is projected to increase during the forecast period, leading to the development of new devices and applications tailored to smart cities, further fueling the global voice assistant application market growth. 

Voice assistant applications have become a hot trend in the tech world, driven by the widespread adoption of AI technologies and voice-enabled devices. According to Juniper Research, the number of voice assistant users is expected to reach 8.4 billion by 2024. This growth is fueled by the increasing use of smart speakers, speech recognition, and natural language processing in various industries. SMEs and large enterprises in sectors like banking, financial services, insurance, media and entertainment, healthcare, and more are leveraging voice assistant applications for customer engagement, online purchasing, appointment scheduling, texting, and calling. Machine learning and voice recognition technologies enable precise data collection and analysis, leading to improved efficiency and better patient experience in healthcare verticals. Cloud segment and edge computing are key deployment types for voice assistant applications, ensuring low bandwidth usage and safety instructions. Mergers and acquisitions among technology providers continue to shape the voice assistant application landscape, offering innovative solutions for networked devices and voice-based systems. The future of voice assistant applications lies in their ability to enhance user experience, streamline processes, and cater to the needs of the worldwide population in various industries. 

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Market Challenges

Voice assistant applications have gained significant popularity in recent years, offering convenience and efficiency to users. However, the market faces notable challenges related to data privacy and security. With the increasing use of voice assistant applications over mobile and cloud networks, concerns surrounding network security, particularly in high-security zones, have emerged. The IoT revolution has led to a large-scale combination of physical and virtual worlds, increasing the number of potential entry points for cyber attacks. Some nations have restricted certain applications, such as vehicle and infrastructure communication, due to security concerns. Hackers may target voice assistant systems due to their reliance on machine intelligence and sensors, posing a significant threat to data breaches. These factors may hinder the growth of the voice assistant application market during the forecast period. Organizations and individuals must prioritize robust security measures to mitigate these risks and ensure the safe adoption of voice assistant technology.Voice assistant applications have gained significant traction in today’s digital world, with worldwide population relying heavily on machine learning and voice recognition technologies for convenience. However, challenges persist in delivering seamless user experience. Appointment scheduling, texting, and calling functionalities require precise data and efficient processing, which can be bandwidth-intensive. Cloud-based infrastructure and edge computing are popular solutions, but networked devices and voice-based systems can strain resources. Rising case trends include healthcare verticals, where voice assistants improve patient experience and enable chronic disease management. Mergers and acquisitions shape the technology provider landscape, offering innovative solutions for large enterprises in IT and telecommunications. Natural Language Processing (NLP) and deployment type (cloud) are key considerations for businesses of all sizes. Safety instructions and voice assistant users on mobile devices further expand the market scope. Voice assistant applications continue to evolve, addressing the needs of a growing user base.

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Segment Overview

This voice assistant application market report extensively covers market segmentation by

Application 1.1 Individual users1.2 SMEs1.3 Large enterprisesDeployment 2.1 Cloud2.2 On-premiseGeography 3.1 North America3.2 Europe3.3 APAC3.4 Middle East and Africa3.5 South America

1.1 Individual users- The individual user segment is poised for the fastest growth in the voice assistant application market during the forecast period. This growth is driven by the increasing adoption of smartphones and connected devices, digital content platforms like OTT, and the rising popularity of online gaming. Advanced features in smartphones and PCs, such as speech-to-text and voice commands for gaming, are encouraging individual users to opt for advanced voice assistant application software and services. In 2020, over 2 billion gamers were present worldwide, with significant growth in emerging economies like India and China. The trend of gamers viewing esports as a career option and investing in advanced gaming equipment is driving the demand for voice assistant applications. Additionally, the increasing adoption of smart appliances and connected home environments, particularly smart speakers, is another growth factor. Major vendors like Amazon and Alphabet dominate this market, with the global voice assistive smart speaker market projected to reach USD11.90 billion by 2023. The number of smart speakers in US households is expected to grow by nearly 80% during the forecast period, and over 50% of web searches are already being done through voice assistants. The global smart kitchen appliance market is expected to reach USD24,931.26 million by 2023, and the integration of AI in voice assistant applications will further drive individual user adoption. Technological advances in smart TVs, such as Amazon’s Fire TV Stick Basic Edition with a voice assistant, are also contributing to market growth.

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Research Analysis

Voice assistant applications are revolutionizing the way we interact with technology, powered by advanced AI technologies and speech recognition. With the widespread adoption of voice-enabled devices, customer engagement is at an all-time high. Low code platforms are making it easier for businesses, even SMEs, to develop and deploy voice assistant applications. According to Juniper Research, the worldwide population of voice assistant users is expected to reach 8.4 billion by 2024. Smart speakers and networked devices are driving the growth of voice-based systems. However, they can be bandwidth hogs, making cloud-based infrastructure and edge computing essential. Machine learning and voice recognition technologies are key components of voice assistant applications, enabling features like appointment setting, texting, and calling. Industries like banking, financial services, insurance, media and entertainment, healthcare, and more are leveraging voice assistant applications for enhanced customer experiences and precise data.

Market Research Overview

The voice assistant application market is experiencing rapid growth, fueled by the increasing adoption of AI technologies and voice-enabled devices. Customer engagement through voice-based systems is becoming a priority for businesses, with low code platforms simplifying development. Juniper Research predicts that the number of voice assistant users will reach 8.4 billion by 2024. Smart speakers and other networked devices are driving the demand for voice recognition technologies. Online purchasing, appointment scheduling, texting, and calling are common use cases. SMEs and large enterprises in sectors like banking, financial services, insurance, media and entertainment, healthcare, and IT and telecommunication are investing in cloud-based infrastructure and edge computing for precise data and efficiency. The technology provider landscape is evolving with innovative solutions, including machine learning and natural language processing. The healthcare vertical is a rising case trend, with voice assistant applications improving patient experience, managing chronic diseases, and providing safety instructions. Mergers and acquisitions are shaping the market, with companies focusing on delivering voice assistant applications that cater to the worldwide population’s diverse needs. Despite the benefits, challenges remain, such as bandwidth hogs and the need for cloud-based infrastructure. The technology’s integration with various industries and deployment types, along with enterprise size considerations, requires a thoughtful approach.

Table of Contents:

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

ApplicationIndividual UsersSMEsLarge EnterprisesDeploymentCloudOn-premiseGeographyNorth AmericaEuropeAPACMiddle East And AfricaSouth America

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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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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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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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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