Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

C3 AI Stock Is Soaring Today: Here’s Why – C3.ai (NYSE:AI)

Nvidia Faces $8B Hit as U.S. Halts H20 AI Chip Exports to China

Paper page – Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Amazon AWS AI
    • Anthropic (Claude)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • Cohere
    • DataRobot
    • DeepSeek
  • AI Research & Breakthroughs
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Education AI
    • Energy AI
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Media & Entertainment
    • Transportation AI
    • Manufacturing AI
    • Retail AI
    • Agriculture AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
Advanced AI News
Home » Personal AI Assistant Market Size
Customer Service AI

Personal AI Assistant Market Size

Advanced AI BotBy Advanced AI BotApril 14, 2025No Comments18 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Report Overview

The Global Personal AI Assistant Market size is expected to be worth around USD 56.3 Billion By 2034, from USD 2.23 Billion in 2024, growing at a CAGR of 38.10% during the forecast period from 2025 to 2034. In 2024, North America led the market with a 39.7% share and revenues of USD 0.8 billion. The U.S. alone accounted for USD 0.79 billion, with a projected CAGR of 36.7%, indicating strong industry adoption.

The Personal AI Assistant market is rapidly expanding, fueled by growing demand for smart automation and enhanced user interaction across industries. These AI assistants offer personalized services, task management, and productivity improvements, addressing both individual and business needs. They are becoming essential in environments from personal devices to enterprise operations, driving a shift toward more interactive and responsive technology solutions.

The demand for Personal AI Assistants is driven by their seamless integration into daily activities, offering convenience and efficiency. Users rely on AI for tasks like scheduling, email management, and real-time information processing. Advancements in voice and language recognition technologies further enhance natural interactions between humans and devices.

Personal AI Assistant Market sizePersonal AI Assistant Market size

Incorporating Personal AI Assistants in business environments can lead to significant enhancements in operational efficiency. AI systems automate routine tasks, optimize workflows, and minimize human intervention in basic processes. Businesses gain from improved data management and analytics, as these assistants process and analyze large data volumes, enhancing decision-making.

Recent innovations in this market include advanced machine learning algorithms that enable more personalized experiences and predictive capabilities. AI assistants now learn from user interactions, anticipating needs and making suggestions before commands are given. Their integration with IoT devices enhances functionality, enabling home automation and offering a centralized platform to manage users’ digital lives.

According to SEO Sandwitch, the global usage of AI personal assistants has seen a strong rise, with over 50% of smartphone users having used one at least once in 2023. In the United States, 35% of adults interact with voice assistants daily, and 55% of households already own at least one smart speaker powered by AI. This trend is expected to grow further, with 70% of U.S. households projected to have a smart speaker by 2030.

By 2025, the total number of devices equipped with AI assistants is forecasted to surpass 8 billion. Mobile remains the primary channel for AI interaction, accounting for 90% of total usage, with 1.5 billion mobile devices currently embedded with AI capabilities. In Europe, 25% of adults actively use AI assistants every week, while 48% of millennials globally rely on voice commands regularly.

The adoption of Personal AI Assistants is driven by their ability to boost productivity and convenience. For individuals, they manage schedules, track tasks, and enable smooth communication. In businesses, they aid collaboration by managing calendars, emails, and meeting notes, essential for fast-paced work environments.

The Personal AI Assistant market is poised for further expansion as AI technologies integrate into more consumer and business applications. Advancements in AI and the growth of smart devices will enhance these assistants’ capabilities, driving wider adoption across regions and industries. Increasing consumer trust in AI as a reliable tool also supports this growth.

Key Takeaways

The Global Personal AI Assistant Market is projected to grow from USD 2.23 billion in 2024 to around USD 56.3 billion by 2034, expanding at a CAGR of 38.10% during the forecast period from 2025 to 2034.
In 2024, the Chatbot segment led the market, capturing more than 76.4% of the total share. This dominance is largely due to the versatility and scalability of chatbot solutions.
The Natural Language Processing (NLP) segment also held a leading position in 2024, accounting for over 36.7% of the Personal AI Assistant market.
The Cloud-based segment dominated the industry in 2024, with a market share of more than 59.7%, reflecting the increasing adoption of scalable and accessible cloud technologies.
The Customer Service segment emerged as the top application area in 2024, capturing more than 68.4% of the market, driven by the demand for automation in handling customer interactions.
North America was the leading regional market in 2024, holding a 39.7% share and generating revenues of approximately USD 0.8 billion.
Within North America, the U.S. market alone was valued at USD 0.79 billion in 2024, and is expected to grow at a CAGR of 36.7%, signaling robust demand and adoption across industries.

Business Benefits

AI assistants can significantly increase employee productivity by automating routine tasks. According to the arXiv report, a study involving 5,172 customer support agents found that access to AI assistance increased worker productivity by 15%, with less experienced workers benefiting the most. Automating tasks like scheduling, email management, and reminders helps employees focus on more strategic and creative work.

AI assistants provide 24/7 support, ensuring customers receive timely and accurate responses. This availability leads to higher customer satisfaction and loyalty. As per the Schuurman Technology article, an insurer implementing an AI Voice Agent reduced wait times by 60%, resolving 75% of customer queries without agent intervention.

AI assistants contribute to improved decision-making by processing large volumes of data rapidly and accurately. They can analyze trends, provide insights, and support data-driven strategies, thereby enhancing overall business performance. A Deloitte study found that companies leveraging AI for data analytics experience a 23% surge in profitability within just two years, highlighting the powerful impact of AI on business success.

Impact Of AI

Enhanced Emotional Intelligence: Modern AI assistants can now detect and respond to human emotions. By analyzing voice tone, text, and facial expressions, they adjust their responses to provide appropriate support. For instance, if a user sounds stressed, the assistant might suggest a relaxing activity or offer words of encouragement.
Improved Productivity and Time Management: AI assistants streamline daily tasks by automating scheduling, reminders, and information retrieval. This automation allows users to focus on more critical activities, thereby enhancing overall productivity.
Personalized Environmental Recommendations: AI-powered assistants can provide eco-friendly suggestions tailored to individual habits. By integrating data from various sources, they might recommend energy-saving modes for appliances or suggest sustainable commuting routes.
Advanced Integration Across Devices and Platforms: AI assistants are now more deeply integrated into various devices and applications, allowing seamless transitions and interactions. For example, Google’s Gemini assistant is embedded across smartphones , enabling users to perform tasks like drafting emails or setting reminders effortlessly.
Proactive and Autonomous Task Management: AI assistants have evolved to anticipate user needs and act proactively. They can autonomously navigate web browsers to complete tasks such as booking appointments or making purchases, reducing the need for direct human intervention.

U.S. Personal AI Assistant Market

The U.S. market for Personal AI Assistants was estimated to be worth USD 0.79 billion in the year 2024. This sector has experienced rapid growth, with a projected compound annual growth rate (CAGR) of 36.7%. This significant growth rate highlights the increasing integration and reliance on AI technologies in daily personal and professional activities across the United States.

Several factors contribute to the robust expansion of the Personal AI Assistant market. Increasing consumer demand for smart automation and efficient management of personal tasks drive adoption, as these assistants enhance productivity within organization.

Innovations in natural language processing and machine learning continually improve the responsiveness and utility of these AI systems, making them appealing to a broad user base. The market is set to continue growing steadily.

The increasing number of connected devices, along with advancements in AI and cloud technologies, is expected to bring new functionalities and enhance the value of personal AI assistants. As these technologies evolve, their adoption across various demographics and professional sectors is anticipated to rise, driving further market expansion.

Personal AI Assistant Market US RegionPersonal AI Assistant Market US Region

In 2024, North America held a dominant market position in the Personal AI Assistant sector, capturing more than a 39.7% share with revenues reaching USD 0.8 billion. This significant market share can be attributed to several key factors that uniquely position North America at the forefront of the Personal AI Assistant industry.

North America benefits from a high penetration of smartphones and smart home devices, which are key platforms for personal AI assistants. The widespread adoption of these technologies in both households and businesses creates strong growth potential for AI assistants.

Additionally, the presence of leading tech giants like Google, Amazon, and Apple, who are pioneers in AI research and development, accelerates advancements and adoption in the region. The region’s consumers exhibit a high willingness to adopt new technologies, driven by a culture that favors innovation and convenience in personal management and communication.

This consumer behavior drives the growth of the Personal AI Assistant market, supported by significant AI and machine learning investments from both private and public sectors, reinforcing North America’s market leadership.

Personal AI Assistant Market regionPersonal AI Assistant Market region

Product Analysis

In 2024, the Chatbot segment held a dominant market position, capturing more than a 76.4% share. This leadership in the market can primarily be attributed to the versatility and scalability of chatbots. Chatbots have become integral in providing customer support and engagement across various industries, from retail and banking to healthcare and hospitality.

Advancements in NLP and ML have greatly improved chatbots’ responsiveness and accuracy, enabling them to provide a more conversational and engaging user experience. This has made chatbots increasingly popular among businesses looking to enhance customer interactions without significantly increasing resources.

Another factor contributing to the growth of the chatbot segment is the widespread adoption of messaging platforms such as WhatsApp, Facebook Messenger, and Slack. Businesses are increasingly leveraging these platforms to deploy chatbots to interact with customers directly, where they are already active, thereby increasing accessibility and convenience for users.

The rise of omnichannel retail strategies has significantly boosted the demand for chatbots. As companies aim to deliver seamless customer experiences across various channels, chatbots have become essential for ensuring consistent and reliable service, further cementing their dominance in the Personal AI Assistant market.

Technology Analysis

In 2024, the Natural Language Processing (NLP) segment held a dominant market position, capturing more than a 36.7% share of the Personal AI Assistant market. This leadership can be attributed to several key factors that underscore the critical role of NLP in enhancing the capabilities of personal AI assistants.

Technological advancements in NLP have greatly improved AI assistants’ ability to understand and generate human language, making user interactions more intuitive and efficient. As these assistants become better at grasping context and conversational nuances, their adoption has surged across customer service, healthcare, and personal devices, driving growth in the NLP segment.

NLP plays a key role in enabling AI assistants to offer a seamless conversational experience by processing and interpreting human language. This allows for more meaningful interactions, accurate query responses, and the execution of complex tasks. Such capabilities are highly valued in consumer electronics, where ease of use and functionality are critical, driving the segment’s market dominance.

In the business domain, NLP-equipped AI assistants are increasingly employed to automate communication and manage tasks. They play a vital role in handling customer inquiries, scheduling meetings, and managing emails, which significantly enhances business efficiency and productivity. This utility has fostered broader integration of NLP technologies within corporate IT ecosystems.

Deployment Model Analysis

In 2024, the Cloud-based segment held a dominant market position in the Personal AI Assistant industry, capturing more than a 59.7% share. This leadership can be attributed to several compelling advantages that cloud-based solutions offer over on-premise alternatives.

Cloud-based Personal AI Assistants offer unmatched accessibility and flexibility, allowing users to access their assistants from any internet-connected device. This convenience boosts user engagement and seamlessly integrates into daily routines, whether for scheduling, information retrieval, or entertainment.

The scalability aligns with both consumer expectations and business needs, allowing companies to adjust services based on demand without hefty upfront investments in infrastructure. This is especially valuable for tech companies, enabling them to quickly adapt to growing demand and an expanding customer base while maintaining performance.

Cloud-based platforms facilitate rapid updates and improvements, allowing AI models to be updated in real-time without user intervention. This means that enhancements in AI algorithms and new features can be rolled out swiftly and efficiently, ensuring that the end-users always have the most advanced and reliable version of their personal AI assistants.

The cloud model supports advanced data analytics, enabling companies to refine AI features and personalize user experiences using large volumes of user data. This data-driven strategy enhances the functionality and appeal of personal AI assistants, while helping businesses maintain a competitive edge in a rapidly evolving market.

Application Analysis

In 2024, the Customer Service segment held a dominant market position within the Personal AI Assistant industry, capturing more than a 68.4% share. This substantial market share can primarily be attributed to the increasing demand for automated and efficient customer interaction solutions across various industries.

The rise of e-commerce and digital business models has further propelled the demand for AI-driven customer service solutions. Companies are leveraging AI assistants to handle a large volume of customer queries without the need for extensive human intervention, thus reducing operational costs and improving service availability.

Moreover, the integration of advanced technologies such as Natural Language Processing (NLP) and Machine Learning (ML) has significantly improved the capabilities of AI assistants, making them more intuitive and effective in understanding and solving complex customer inquiries. This technological advancement supports a more personalized and engaging customer service experience, fostering greater customer satisfaction and loyalty.

The increasing focus on customer experience as a competitive differentiator has prompted companies to adopt AI assistants. These tools manage inquiries and complaints while collecting valuable customer insights, allowing businesses to continuously improve their products and services. This strategic advantage solidifies the Customer Service segment’s leading position in the Personal AI Assistant market.

Personal AI Assistant Market sharePersonal AI Assistant Market share

Key Market Segments

By Product

Chatbot
Smart Speaker
Others

By Technology

Natural Language Processing (NLP)
Machine Learning (ML)
Text-Based

By Deployment Model

By Application

Productivity
Customer Service

Key Regions and Countries

North America

Europe

Germany
France
The UK
Spain
Italy
Rest of Europe

Asia Pacific

China
Japan
South Korea
India
Australia
Singapore
Rest of Asia Pacific

Latin America

Brazil
Mexico
Rest of Latin America

Middle East & Africa

South Africa
Saudi Arabia
UAE
Rest of MEA

Driver

Integration of AI Assistants into Smart Devices

The proliferation of smart devices has significantly contributed to the widespread adoption of personal AI assistants. As households increasingly incorporate smart speakers, smartphones, and other connected devices, the demand for seamless and intuitive interaction has grown.

AI assistants, equipped with advanced natural language processing capabilities, enable users to control various functions through voice commands, enhancing user experience and accessibility. This integration not only simplifies daily tasks but also fosters a more connected and efficient living environment.

The convenience offered by voice-activated controls and the ability to manage multiple devices through a single assistant have made AI integration a compelling feature for consumers. As technology continues to evolve, the synergy between AI assistants and smart devices is expected to deepen, further driving market growth. ​

Restraint

Data Privacy and Security Concerns

Despite their benefits, personal AI assistants face challenges with data privacy and security that limit broader adoption. Their need for personal data raises concerns about how that information is collected, stored, and used. High-profile data breaches and unauthorized access have fueled user skepticism, making people cautious about sharing personal information with AI systems.

Moreover, the regulatory landscape is becoming increasingly stringent imposing strict guidelines on data handling practices. Companies must navigate these regulations carefully to maintain compliance and user trust. The challenge lies in balancing the personalization benefits of AI assistants with robust privacy protections to alleviate user concerns and foster confidence in these technologies. ​

Opportunity

Expansion into Healthcare Applications

The healthcare sector presents a significant opportunity for the application of personal AI assistants. These assistants can streamline various aspects of patient care, including appointment scheduling, medication reminders, and providing information on medical conditions.

By offering 24/7 support, AI assistants can enhance patient engagement and adherence to treatment plans, leading to improved health outcomes. Additionally, they can assist healthcare providers by managing administrative tasks, thereby allowing professionals to focus more on patient care.

Integrating AI assistants into telemedicine platforms can greatly enhance healthcare access, especially for patients in remote areas. As the need for efficient, accessible healthcare rises, AI assistants are set to play a growing role in supporting medical services and improving patient outcomes.​

Challenge

Multilingual and Contextual Understanding

A major challenge in developing personal AI assistants is achieving accurate multilingual and contextual understanding. Despite advances in natural language processing, AI assistants still struggle with diverse languages, dialects, and cultural nuances, leading to misinterpretations and reduced communication effectiveness, especially in linguistically diverse regions.

Furthermore, understanding context is crucial for providing relevant and accurate responses, yet AI systems may falter in grasping the subtleties of human conversation. Addressing these challenges requires ongoing research and development to enhance the linguistic and contextual capabilities of AI assistants, ensuring they can effectively serve a global user base with varied communication styles and preferences.

Emerging Trends

Personal AI assistants are rapidly evolving, becoming more integrated into daily life and providing increasingly human-like interactions. One significant trend is the development of memory capabilities, allowing AI assistants to remember user preferences, routines, and past interactions. This advancement allows for highly personalized, context-aware assistance, improving the user experience.

A key trend is the shift toward more natural, human-like conversations. AI assistants now understand context, tone, and user intent, making interactions feel fluid and intuitive. This is further enhanced by multimodal interfaces like gestures and gaze tracking, offering a more immersive and inclusive experience.

Additionally, AI assistants are becoming more proactive, anticipating user needs and offering suggestions without explicit prompts. This proactive behavior, boosted by emotional intelligence, allows AI assistants to recognize emotional cues and respond empathetically, fostering more engaging and supportive interactions.

Key Player Analysis

The tech market is highly competitive, but a few giants lead with strong ecosystems, innovation, and global reach. Each stands out by offering unique strengths that set them apart.

Apple’s Siri, AI assistant, is deeply integrated across its devices, offering a smooth, reliable experience. While not the most advanced conversationally, Siri stands out for its strong focus on privacy and user data protection. Apple continues to refine Siri with updates focused on voice recognition, personalization, and on-device processing for privacy.

Microsoft Corporation’s Cortana may not be in the spotlight like it once was, but the company is now focusing on AI integration in productivity tools such as Microsoft 365. Instead of competing directly with mobile assistants, Microsoft is using AI to enhance workplace efficiency, especially through tools like Copilot in Word, Excel, and Teams.

Google LLC AI assistant, known simply as Google Assistant, is one of the most advanced in terms of natural language processing and smart responses. It works across Android devices, smart speakers, and other platforms. Google stands out for its deep AI research, access to massive datasets, and integration with its powerful search engine.

Top Key Players in the Market

Amazon.com, Inc.
Apple Inc.
Microsoft Corporation
Google LLC
Samsung Electronics Co., Ltd.
Alibaba Group Holding Limited
Yandex N.V.
Naver Corporation
Baidu, Inc.
Huawei Technologies Co., Ltd.
You.com, Inc.
Perplexity AI
Uniphore
Other Major Players

Top Opportunities for Players

Expansion into the Smart Home Market: As AI personal assistants become increasingly central to smart home ecosystems, there is substantial growth potential for companies to develop AI solutions that manage various household tasks through voice commands.
Enhancement of Customer Service Capabilities: AI virtual assistants can significantly reduce customer service costs by handling inquiries without human intervention. This presents an opportunity for businesses to streamline customer interactions and improve satisfaction while reducing operational costs​.
Integration with Business Operations: There is a growing trend of integrating AI assistants into business workflows to enhance productivity and automate routine tasks. Companies that can develop AI assistants capable of seamless integration with existing business software will find a significant market advantage​.
Personalization and Recommendation Systems: AI assistants that can offer personalized experiences and recommendations based on user behavior and preferences are becoming increasingly popular. Developing AI technologies that can analyze user data and provide tailored suggestions will meet the rising consumer demand for customization​.
Omnichannel Customer Experience: Businesses are expected to provide a unified customer experience across various platforms, from social media to mobile apps, facilitated by AI assistants. Investing in omnichannel solutions that ensure consistent and seamless interactions across all customer touchpoints will be crucial​.

Recent Developments

In March 2025, Alibaba upgraded its AI assistant, Quark, incorporating advanced reasoning capabilities. This enhancement is part of Alibaba’s broader strategy to strengthen its AI offerings, which could benefit its collaboration with Apple.
In January 2025, Perplexity AI launched its AI assistant for Android devices. The assistant offers features such as booking reservations, hailing rides, and setting reminders. It supports 15 languages and is available on the Google Play Store.

Report Scope

 



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleStanford HAI’s annual report highlights rapid adoption and growing accessibility of powerful AI systems
Next Article Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
Advanced AI Bot
  • Website

Related Posts

AI customer service is leaving us all in the dark

June 7, 2025

Hyperscale Data Launches Advanced AI Customer Service Agent

June 6, 2025

Klarna CEO Sebastian Siemiatkowski might be calming his tone on AI replacement – but the future of customer service could be a two-tier nightmare

June 6, 2025
Leave A Reply Cancel Reply

Latest Posts

Jiaxing Train Station By Architect Ma Yansong Is A Model Of People-Centric, Green Urban Design

Midwestern Grotto Tradition Celebrated In Sheboygan, WI

Hugh Jackman And Sonia Friedman Boldly Bid To Democratize Theater

Men’s Swimwear Gets Casual At Miami Swim Week 2025

Latest Posts

C3 AI Stock Is Soaring Today: Here’s Why – C3.ai (NYSE:AI)

June 7, 2025

Nvidia Faces $8B Hit as U.S. Halts H20 AI Chip Exports to China

June 7, 2025

Paper page – Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving

June 7, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

YouTube LinkedIn
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.