Mobile Artificial Intelligence Market 2030 By Technology Node (20–28nm, 10nm, 7nm, Other), Component (Hardware, Software, Services), Application (Smartphones, Cameras, Drones, Automotive, Robotics, AR/VR, Others) & Region - Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competive Index & Regional Footprints by MarketDigits

Industry : Information Technology | Pages : 189 Pages | Published On : Jan 2024

         
     

The global Mobile Artificial Intelligence market was valued at USD 12.3 Billion in 2022 and is expected to reach around XX Billion by 2030, at a CAGR of about 28.7% between 2022 and 2030

Mobile Artificial Intelligence Market Size


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             xxxx                         2022-2030      

ReportDetails
Market Size ValueUSD 12.3 Billion in 2022
Market Size ValueUSD XX Billion by 2030
CAGR28.7%
Forecast Period2022-2030
Historic Dataxxxx
Segments Coveredxxxx
Geographics CoveredNorth America, Latin America, Europe, Asia-Pacific, Middle East & Africa

Major Players In Mobile Artificial Intelligence Market Include: Intel Corporation, Microsoft Corporation, Alphabet Inc., Apple Inc., Samsung Electronics Co. Ltd., Nvidia Corporation, IBM Corporation, Qualcomm Technologies Inc. MediaTek Inc., Huawei Technologies Co. Ltd. and others.

Artificial Intelligence (AI) is playing an increasingly prominent role in day to day lives and it has abilities to transform the technological landscape as it continues to develop. Complex algorithms and processes, such as machine learning and deep learning, are driving the transformation boosting the need for more powerful on-device AI solutions. From the camera to smart assistants, AI can be found in almost every smartphone feature. By simulating human intelligence, AI enables devices to acquire information and rules automatically, and even reach conclusion and take actions independently. These capabilities enable mobile devices to offer more enriching and secure experiences. As the technology continues to advance, fast and power efficient on-device AI solutions will be the key to unlock future innovations, such as virtual reality and autonomous driving, and reduce the reliance on cloud AI operations. Smartphones devices are equipped with GPS tracking, as well as microphone and camera features, making mobile the ideal platform for AI applications. Further, Apple revealed that the iPhone XS, XS Max and XR will include an A12 Bionic chip featuring a neural engine built to utilize AI hardware in previously impossible ways. Combining AI technology with these built-in features makes apps more relevant and personalized. Using AI to contextualize user behavior will make each app session more valuable than the last. As the smartphone market shifts from selling technology products to delivering compelling and personalized experiences, AI solutions running on the smartphone will become an essential part of vendor roadmaps over the next two years. The global mobile artificial intelligence (AI) market size is anticipated to witness significant growth during the forecast period. Factors, such as high demand for Artificial Intelligence in smartphones, rise in demand for AI-capable processors, and rising investment in artificial intelligence (AI) technologies drive the mobile artificial intelligence (AI) market growth.

Artificial intelligence technology is widely used in many groundbreaking applications in industrial, automotive and video gaming. Now, smartphones industry also started using AI technology, and it goes far beyond applications such as digital assistants. Several mobile manufacturing companies are competing to develop AI features for smartphones according to the needs of the users. However, high pricing of artificial processors is a major restraint to the global mobile artificial intelligence (AI) market growth. In addition, the emergence of edge computing is expected to create opportunities for the mobile artificial intelligence (AI) industry. In the last few years, the AI implementations in various companies have changed around the world. As more enterprise-wide efforts dominate, the cloud computing became an essential component of the AI evolution. As customers spend more time on their devices, businesses increasingly realize the need to bring essential computation onto the device to serve more customers. This is the reason that edge computing will continue to accelerate in the next few years. The vast expansion in connectivity with the rollout of 5G and the IoT enables organizations and individuals to collect more real-world data in real-time. This data can be used to improve artificial intelligence (AI) systems further so that they become increasingly sophisticated and capable. These technologies can produce a powerful virtuous circle that can generate massive socio-economic benefits.

The emerging use of drones is rising quickly for several reasons, including more venture capital financing, demand for drone-generated data for commercial uses, and quickening technology development. Artificial intelligence (Al) is projected to fuel the next generation of drones, enabling them to function autonomously and make choices without human supervision. Drones are cameras and sensors that send information into vision processing units (VPUs), which are tiny circuits. A drone's VPU processor and sophisticated algorithms are applied. These computers improve drone machine vision applications, including object identification, gesture mode, safe landing, 3D mapping, and contextual awareness.

Moreover, the rise of edge computing is anticipated to present possibilities for the mobile artificial intelligence (AI) sector. The AI implementations in various companies have changed around the world. As more corporate-wide initiatives take hold, cloud computing has become a crucial part of the development of AI. Businesses are becoming more aware of the need to get necessary computing onto the device as customers spend more time on their smartphones. This is why edge computing will continue to accelerate in the next few years.

Major Classifications are as follows:

By Technology Node

  • 20–28nm
  • 10nm
  • 7nm
  • Other

By Component

  • Hardware
  • Software
  • Services

By Application

  • Smartphones
  • Cameras
  • Drones
  • Automotive
  • Robotics
  • AR/VR
  • Others

By Region

  • North America
    • US
    • Canada
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia Pacific
  • Rest of the World
    • Middle East
      • UAE
      • Saudi Arabia
      • Israel
      • Rest of the Middle East
    • Africa
      • South Africa
      • Rest of the Middle East & Africa

Reason to purchase this Mobile Artificial Intelligence Market Report:

  • Determine prospective investment areas based on a detailed trend analysis of the global Mobile Artificial Intelligence Market over the next years.
  • Gain an in-depth understanding of the underlying factors driving demand for different Mobile Artificial Intelligence Market segments in the top spending countries across the world and identify the opportunities each offers.
  • Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
  • Identify the major channels that are driving the global Mobile Artificial Intelligence Market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
  • Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global Mobile Artificial Intelligence Market.
  • Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top Mobile Artificial Intelligence Market providers worldwide, including information about their products, alliances, recent contract wins, and financial analysis wherever available.

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Secondary research is another crucial component of our methodology. It involves a deep dive into various data sources, including industry reports, market databases, scholarly articles, and regulatory documents. This helps us gather a wide range of information, validate findings, and provide a comprehensive understanding of the industry landscape.

Furthermore, our methodology incorporates technology-based research techniques, such as data mining, text analytics, and predictive modelling, to uncover hidden patterns, correlations, and trends within the data. This data-driven approach enhances the accuracy and reliability of our analysis, enabling us to make informed and actionable recommendations.

In addition, our analysts bring their industry expertise and domain knowledge to bear on the research process. Their deep understanding of market dynamics, emerging trends, and future prospects allows for insightful interpretation of the data and identification of strategic opportunities.

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The result of our 360° Research Methodology is a comprehensive and robust research report that empowers you to make well-informed business decisions. It provides a panoramic view of the industry landscape, helping you navigate challenges, seize opportunities, and stay ahead of the competition.

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