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AI On-device Tools Market Research Report - Size, Share, Growth, and Trend Analysis | Forecast (2025 - 2030)

AI On-device Tools Market (2025-2030)

What are AI On-device Tools?

AI On-device tools refer to AI solutions designed to run directly on end-user devices like smartphones, IoT devices, and embedded systems, without the need for constant cloud connectivity. These tools allow for faster processing, enhanced privacy, and reduced dependency on external servers by executing tasks such as machine learning, data analysis, and prediction locally.

AI on-device tools are disrupting various industries by enabling faster, more secure, and scalable AI applications at the edge. With capabilities for real-time data processing and reduced latency, these tools offer new opportunities in areas such as autonomous systems, mobile applications, and industrial automation. This results in greater accessibility, improved user experience, and increased efficiency, opening up vast possibilities for growth in both consumer and enterprise markets.

Key Market Players

  • TensorFlow Lite
  • Edge Impulse
  • Core ML
  • Google ML Kit
  • NVIDIA Deep Learning AI
  • Microsoft Azure Edge AI
  • Apple Create ML
  • Run.ai
  • PyTorch Mobile
  • KUNGFU.AI

Case Study:

TensorFlow Lite has enabled real-time AI applications on mobile devices, providing improved performance and low power consumption for developers working with machine learning models.

Popularity and Related Activities

  • Widespread adoption of mobile AI due to the growth of consumer applications.
  • Increasing demand for edge computing in industries such as healthcare and manufacturing.

Market Segmentation:

By Type

  • Machine Learning Libraries
    • TensorFlow Lite
    • PyTorch Mobile
    • Core ML
    • Google ML Kit
  • Edge AI Platforms
    • NVIDIA Deep Learning AI
    • Microsoft Azure Edge AI
    • Apple Create ML
    • Run.ai
  • AI Optimization Tools
    • Edge Impulse
    • KUNGFU.AI

By End User

  • Consumer Electronics
    • Smartphones
    • Wearables
    • Smart TVs
  • Automotive
    • Autonomous Vehicles
    • In-car AI systems
  • Industrial Automation
    • Predictive Maintenance
    • Robotics
    • Smart Manufacturing
  • Healthcare
    • Mobile Health Devices
    • Remote Patient Monitoring
    • Diagnostic Tools
  • Retail
    • In-store AI tools
    • AI-powered checkout systems

What’s in It for You?

  • Unlock faster deployment of AI models with minimal latency.
  • Enhance privacy and security by processing data locally.
  • Gain competitive edge in emerging technologies with AI-powered mobile and IoT solutions.

 

 

Chapter 1. Global AI On-device Tools Market– Scope & Methodology
1.1    Market Segmentation
1.2    Scope, Assumptions & Limitations
1.3    Research Methodology
1.4    Primary Sources
1.5    Secondary Sources
Chapter 2. Global AI On-device Tools Market– Executive Summary
2.1    Market Size & Forecast – (2025 – 2030) ($M/$Bn)
2.2    Key Trends & Insights
         2.2.1    Demand Side
         2.2.2    Supply Side
2.3    Attractive Investment Propositions
2.4    COVID-19 Impact Analysis
Chapter 3. Global AI On-device Tools Market– Competition Scenario
3.1    Market Share Analysis & Company Benchmarking
3.2    Competitive Strategy & Development Scenario
3.3    Competitive Pricing Analysis
3.4    Supplier-Distributor Analysis
Chapter 4. Global AI On-device Tools MarketEntry Scenario
4.1    Regulatory Scenario
4.2    Case Studies – Key Start-ups
4.3    Customer Analysis
4.4    PESTLE Analysis
4.5    Porters Five Force Model
         4.5.1    Bargaining Power of Suppliers
         4.5.2    Bargaining Powers of Customers
         4.5.3    Threat of New Entrants
         4.5.4    Rivalry among Existing Players
         4.5.5    Threat of Substitutes
Chapter 5. Global AI On-device Tools Market– Landscape
5.1    Value Chain Analysis – Key Stakeholders Impact Analysis
5.2    Market Drivers
5.3    Market Restraints/Challenges
5.4    Market Opportunities
Chapter 6. Global AI On-device Tools Market– By Type 
6.1    Introduction/Key Findings   
6.2    Machine Learning Libraries 
         6.2.1    TensorFlow Lite
         6.2.2    PyTorch Mobile
         6.2.3    Core ML
         6.2.4    Google ML Kit
6.3    Edge AI Platforms 
         6.3.1    NVIDIA Deep Learning AI
         6.3.2    Microsoft Azure Edge AI
         6.3.3    Apple Create ML
         6.3.4    Run.ai
6.4    AI Optimization Tools 
         6.4.1    Edge Impulse
         6.4.2    KUNGFU.AI
6.5    Y-O-Y Growth trend Analysis By Type 
6.6    Absolute $ Opportunity Analysis By Type , 2025-2030
 
Chapter 7. Global AI On-device Tools Market– By End User 
7.1    Introduction/Key Findings   
7.2    Consumer Electronics 
         7.2.1    Smartphones
         7.2.2    Wearables
         7.2.3    Smart TVs
7.3    Automotive 
         7.3.1    Autonomous Vehicles
         7.3.2    In-car AI systems
7.4    Industrial Automation 
         7.4.1    Predictive Maintenance
         7.4.2    Robotics
         7.4.3    Smart Manufacturing
7.5    Healthcare 
         7.5.1    Mobile Health Devices
         7.5.2    Remote Patient Monitoring
         7.5.3    Diagnostic Tools
7.6    Retail 
         7.6.1    In-store AI tools
         7.6.2    AI-powered checkout systems
7.7    Y-O-Y Growth  trend Analysis By End User 
7.8   Absolute $ Opportunity Analysis By End User , 2025-2030
      
Chapter 8. Global AI On-device Tools Market, By Geography – Market Size, Forecast, Trends & Insights
8.1. North America
                                8.1.1. By Country
                                                8.1.1.1. U.S.A.
                                                8.1.1.2. Canada 
                                                8.1.1.3. Mexico
                                8.1.2. By End User  
                                8.1.3. By Type 
                                8.1.4. Countries & Segments - Market Attractiveness Analysis
   8.2. Europe
                                8.2.1. By Country
                                                8.2.1.1. U.K.                         
                                                8.2.1.2. Germany
                                                8.2.1.3. France
                                                8.2.1.4. Italy
                                                8.2.1.5. Spain
                                                8.2.1.6. Rest of Europe
                                8.2.2. By End User  
                                8.2.3. By Type 
                                8.2.4. Countries & Segments - Market Attractiveness Analysis
8.3. Asia Pacific
                                8.3.1. By Country
                                                8.3.1.1. China
                                                8.3.1.2. Japan
                                                8.3.1.3. South Korea
                                                8.3.1.4. India      
                                                8.3.1.5. Australia & New Zealand
                                                8.3.1.6. Rest of Asia-Pacific
                                8.3.2. By End User  
                                8.3.3. By Type 
                                8.3.4. Countries & Segments - Market Attractiveness Analysis
8.4. South America
                                8.4.1. By Country
                                                8.4.1.1. Brazil
                                                8.4.1.2. Argentina
                                                8.4.1.3. Colombia
                                                8.4.1.4. Chile
                                                8.4.1.5. Rest of South America
                                8.4.2.  By End User  
                                8.4.3. By Type 
                                8.4.4. Countries & Segments - Market Attractiveness Analysis
8.5. Middle East & Africa
                                8.5.1. By Country
                                                8.5.1.1. United Arab Emirates (UAE)
                                                8.5.1.2. Saudi Arabia
                                                8.5.1.3. Qatar
                                                8.5.1.4. Israel
                                                8.5.1.5. South Africa
                                                8.5.1.6. Nigeria
                                                8.5.1.7. Kenya
                                                8.5.1.8. Egypt
                                                8.5.1.8. Rest of MEA
                              8.5.2. By End User  
                             8.5.3. By Type 
                             8.5.4. Countries & Segments - Market Attractiveness Analysis
Chapter 9. Global AI On-device Tools Market– Company Profiles – (Overview, Type Portfolio, Financials, Strategies & Developments)
9.1    TensorFlow Lite
9.2    Edge Impulse
9.3    Core ML
9.4    Google ML Kit
9.5    NVIDIA Deep Learning AI
9.6    Microsoft Azure Edge AI
9.7    Apple Create ML
9.8    Run.ai
9.9    PyTorch Mobile
9.10    KUNGFU.AI


 

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