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The size of the global mobile artificial intelligence (AI) market is anticipated to increase from $8.59 billion in 2023 to $84.89 billion in 2030, at a CAGR of 27.44%.
During the anticipated period of 2023 to 2030, an increase in the use of artificial intelligence (AI) in smartphones is anticipated to fuel sales growth in the global mobile artificial intelligence (AI) market. All data from the global mobile artificial intelligence (AI) market has been divided by the study's analysts based on a variety of crucial factors, including component, technology node, application, and geography. The market is divided into three categories based on component, software, services, and hardware.
Drone usage is rapidly expanding due to a number of factors, including increased venture capital funding, a need for drone-generated data for commercial applications, and a more rapid pace of technological advancement. The next generation of drones is expected to be powered by artificial intelligence (Al), allowing them to operate autonomously and make decisions without human supervision. Drones use cameras and sensors that transmit data to tiny circuits called vision processing units (VPUs). Complex algorithms and a drone's VPU processor are used. Drone machine vision applications such as object detection, gesture mode, safe landing, 3D mapping, and contextual awareness are all improved by these computers.
Additionally, it is projected that the growth of edge computing will open up opportunities for the field of mobile artificial intelligence (AI). Around the world, several businesses have transformed as a result of AI deployments. The development of AI has become increasingly dependent on cloud computing as more corporate-wide efforts gain traction. As customers spend more time on their smartphones, businesses are becoming more aware of the necessity to load the essential functionality onto the device. Edge computing will therefore continue to grow in importance over the coming few years.
Mobile is the perfect platform for AI applications because smartphones come with GPS tracking, microphone, and camera features. Furthermore, Apple disclosed that the A12 Bionic chip, which will be found in the iPhone XS, XS Max, and XR, will have a neural engine designed to use AI hardware in hitherto impractical ways. Apps become more relevant and individualized when AI technology is combined with these built-in capabilities. Each app session will be more beneficial than the previous one thanks to the usage of AI to contextualize user behavior. Over the next two years, AI solutions operating on smartphones will become a critical component of vendor roadmaps as the smartphone market transitions from selling technological products to delivering compelling and tailored experiences.
It is projected that the size of the global mobile artificial intelligence (AI) market will expand significantly during the forecast period. The expansion of the mobile artificial intelligence (AI) market is fueled by factors such as the high demand for artificial intelligence in smartphones, the increase in demand for AI-capable processors, and the increased investment in AI technologies. Numerous ground-breaking uses of artificial intelligence technologies may be found in the fields of industrial, automotive, and video games. AI technology is now being used by the smartphone industry, and it is used for much more than just applications like digital assistants. In order to create AI features for smartphones that meet user expectations, several mobile manufacturing companies are competing. The expansion of the global mobile artificial intelligence (AI) market is, however, significantly constrained by the high cost of artificial processors.
This restriction proved a barrier to the quick adoption of AI in consumer electronics. Due to this, tier-one semiconductor hardware producers, such as smartphone OEMs, are putting more emphasis on researching application processor designs and frameworks that will enable AI to be accessed locally rather than through a cloud. Due to oversaturated utilization of the available spectrums and rising traffic in the accessible spectrums, connectivity in mobile devices is characterized by high latency, network congestion in densely populated locations, and increased levels of signal collision. Mobile devices can compute data in real-time with very little latency (far less than the cloud) because to on-device CPUs. In order to execute deep learning algorithms in real-time and make quick judgments, autonomous and semiautonomous vehicles such as drones, augmented reality systems, cameras, and autos must have minimal latency. Any lag caused by communication latency might have devastating or tragic consequences. Apple (US) and Google (US) are currently using AI-capable processors in their flagship smartphone products on the market. However, additional companies are anticipated to enter this market during the projected period due to the rising application of AI in autonomous vehicles, drones, and other mobile devices.
Because AI is a complicated system, businesses need employees with certain skill sets to design, manage, and implement AI systems. People working with AI systems, for instance, should be knowledgeable on technologies like deep learning, image recognition, ML and machine intelligence, cognitive computing, and so forth. Additionally, it is challenging to integrate AI solutions with current systems because doing so requires processing a lot of data in order to mimic human brain behavior. Even small mistakes can lead to system failure or solution malfunction, which can have a significant impact on the outcome and desired outcome. To alter an already-existing ML-enabled AI service, qualified data scientists and developers are required. A workforce with in-depth knowledge of AI is scarce because the technology is still in the early stages of its life cycle. The early years of the projection period are anticipated to see a continued strong impact of this restraint.
Report Coverage
Global Mobile Artificial Intelligence research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Mobile Artificial Intelligence report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Mobile Artificial Intelligence competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Mobile Artificial Intelligence market players and analyses their core competencies in each global market sub-segments.
Key Points Covered in the Report
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Mobile Artificial Intelligence market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Mobile Artificial Intelligence market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
MICROSOFT CORPORATION, Samsung Electronics, Apple Inc., Huawei Technologies Co., Ltd. (Huawei), NVIDIA CORPORATION., Google LLC (Alphabet Inc.), INTEL CORPORATION, International Business Machines Corporation (IBM), MEDIATEK, INC., Qualcomm Technologies, Inc., AYASDI AI LLC, Baidu Inc., ClariFI, Inc., Cyrcadia Health, Enlitic, Inc., Imagination Technologies Ltd, Graphcore, Amazon Inc., Deephi Technology, Cambricon among others.
Primary Target Market
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global Mobile Artificial Intelligence market based on the below-mentioned segments:
Global Mobile Artificial Intelligence Market, By Technology Node
20–28nm
10nm
7nm
Others
Global Mobile Artificial Intelligence market, By Component
Hardware
Software
Services
Global Mobile Artificial Intelligence Market, By End User
Smartphones
Cameras
Drones
Automotive
Robotics
AR/ VR
Others
Global Mobile Artificial Intelligence market, Regional Analysis
During the anticipated period of 2023 to 2030, an increase in the use of artificial intelligence (AI) in smartphones is anticipated to fuel sales growth in the global mobile artificial intelligence (AI) market. All data from the global mobile artificial intelligence (AI) market has been divided by the study's analysts based on a variety of crucial factors, including component, technology node, application, and geography. The market is divided into three categories based on component, software, services, and hardware.
Drone usage is rapidly expanding due to a number of factors, including increased venture capital funding, a need for drone-generated data for commercial applications, and a more rapid pace of technological advancement. The next generation of drones is expected to be powered by artificial intelligence (Al), allowing them to operate autonomously and make decisions without human supervision. Drones use cameras and sensors that transmit data to tiny circuits called vision processing units (VPUs). Complex algorithms and a drone's VPU processor are used. Drone machine vision applications such as object detection, gesture mode, safe landing, 3D mapping, and contextual awareness are all improved by these computers.
Additionally, it is projected that the growth of edge computing will open up opportunities for the field of mobile artificial intelligence (AI). Around the world, several businesses have transformed as a result of AI deployments. The development of AI has become increasingly dependent on cloud computing as more corporate-wide efforts gain traction. As customers spend more time on their smartphones, businesses are becoming more aware of the necessity to load the essential functionality onto the device. Edge computing will therefore continue to grow in importance over the coming few years.
Mobile is the perfect platform for AI applications because smartphones come with GPS tracking, microphone, and camera features. Furthermore, Apple disclosed that the A12 Bionic chip, which will be found in the iPhone XS, XS Max, and XR, will have a neural engine designed to use AI hardware in hitherto impractical ways. Apps become more relevant and individualized when AI technology is combined with these built-in capabilities. Each app session will be more beneficial than the previous one thanks to the usage of AI to contextualize user behavior. Over the next two years, AI solutions operating on smartphones will become a critical component of vendor roadmaps as the smartphone market transitions from selling technological products to delivering compelling and tailored experiences.
It is projected that the size of the global mobile artificial intelligence (AI) market will expand significantly during the forecast period. The expansion of the mobile artificial intelligence (AI) market is fueled by factors such as the high demand for artificial intelligence in smartphones, the increase in demand for AI-capable processors, and the increased investment in AI technologies. Numerous ground-breaking uses of artificial intelligence technologies may be found in the fields of industrial, automotive, and video games. AI technology is now being used by the smartphone industry, and it is used for much more than just applications like digital assistants. In order to create AI features for smartphones that meet user expectations, several mobile manufacturing companies are competing. The expansion of the global mobile artificial intelligence (AI) market is, however, significantly constrained by the high cost of artificial processors.
This restriction proved a barrier to the quick adoption of AI in consumer electronics. Due to this, tier-one semiconductor hardware producers, such as smartphone OEMs, are putting more emphasis on researching application processor designs and frameworks that will enable AI to be accessed locally rather than through a cloud. Due to oversaturated utilization of the available spectrums and rising traffic in the accessible spectrums, connectivity in mobile devices is characterized by high latency, network congestion in densely populated locations, and increased levels of signal collision. Mobile devices can compute data in real-time with very little latency (far less than the cloud) because to on-device CPUs. In order to execute deep learning algorithms in real-time and make quick judgments, autonomous and semiautonomous vehicles such as drones, augmented reality systems, cameras, and autos must have minimal latency. Any lag caused by communication latency might have devastating or tragic consequences. Apple (US) and Google (US) are currently using AI-capable processors in their flagship smartphone products on the market. However, additional companies are anticipated to enter this market during the projected period due to the rising application of AI in autonomous vehicles, drones, and other mobile devices.
Because AI is a complicated system, businesses need employees with certain skill sets to design, manage, and implement AI systems. People working with AI systems, for instance, should be knowledgeable on technologies like deep learning, image recognition, ML and machine intelligence, cognitive computing, and so forth. Additionally, it is challenging to integrate AI solutions with current systems because doing so requires processing a lot of data in order to mimic human brain behavior. Even small mistakes can lead to system failure or solution malfunction, which can have a significant impact on the outcome and desired outcome. To alter an already-existing ML-enabled AI service, qualified data scientists and developers are required. A workforce with in-depth knowledge of AI is scarce because the technology is still in the early stages of its life cycle. The early years of the projection period are anticipated to see a continued strong impact of this restraint.
Report Coverage
Global Mobile Artificial Intelligence research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Mobile Artificial Intelligence report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Mobile Artificial Intelligence competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Mobile Artificial Intelligence market players and analyses their core competencies in each global market sub-segments.
| REPORT ATTRIBUTES | DETAILS |
|---|---|
| Study Period | 2017-2030 |
| Base Year | 2022 |
| Forecast Period | 2022-2030 |
| Historical Period | 2017-2021 |
| Unit | Value (USD Billion) |
| Key Companies Profiled | MICROSOFT CORPORATION, Samsung Electronics, Apple Inc., Huawei Technologies Co., Ltd. (Huawei), NVIDIA CORPORATION., Google LLC (Alphabet Inc.), INTEL CORPORATION, International Business Machines Corporation (IBM), MEDIATEK, INC., Qualcomm Technologies, Inc., AYASDI AI LLC, Baidu Inc., ClariFI, Inc., Cyrcadia Health, Enlitic, Inc., Imagination Technologies Ltd, Graphcore, Amazon Inc., Deephi Technology, Cambricon among others. |
| Segments Covered | • By Product |
| Customization Scope | Free report customization (equivalent to up to 3 analyst working days) with purchase. Addition or alteration to country, regional & segment scope |
Key Points Covered in the Report
- Market Revenue of Mobile Artificial Intelligence Market from 2021 to 2030.
- Market Forecast for Mobile Artificial Intelligence Market from 2021 to 2030.
- Regional Market Share and Revenue from 2021 to 2030.
- Country Market share within region from 2021 to 2030.
- Key Type and Application Revenue and forecast.
- Company Market Share Analysis, Mobile Artificial Intelligence competitive scenario, ranking, and detailed company
profiles. - Market driver, restraints, and detailed COVID-19 impact on Mobile Artificial Intelligence
Market
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Mobile Artificial Intelligence market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Mobile Artificial Intelligence market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
MICROSOFT CORPORATION, Samsung Electronics, Apple Inc., Huawei Technologies Co., Ltd. (Huawei), NVIDIA CORPORATION., Google LLC (Alphabet Inc.), INTEL CORPORATION, International Business Machines Corporation (IBM), MEDIATEK, INC., Qualcomm Technologies, Inc., AYASDI AI LLC, Baidu Inc., ClariFI, Inc., Cyrcadia Health, Enlitic, Inc., Imagination Technologies Ltd, Graphcore, Amazon Inc., Deephi Technology, Cambricon among others.
Primary Target Market
- Market Players of Mobile Artificial Intelligence
- Investors
- End-users
- Government Authorities
- Consulting And Research Firm
- Venture capitalists
- Third-party knowledge providers
- Value-Added Resellers (VARs)
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global Mobile Artificial Intelligence market based on the below-mentioned segments:
Global Mobile Artificial Intelligence Market, By Technology Node
20–28nm
10nm
7nm
Others
Global Mobile Artificial Intelligence market, By Component
Hardware
Software
Services
Global Mobile Artificial Intelligence Market, By End User
Smartphones
Cameras
Drones
Automotive
Robotics
AR/ VR
Others
Global Mobile Artificial Intelligence market, Regional Analysis
- Europe: Germany, Uk, France, Italy, Spain, Russia, Rest of Europe
- The Asia Pacific: China,Japan,India,South Korea,Australia,Rest of Asia Pacific
- South America: Brazil, Argentina, Rest of South America
- Middle East & Africa: UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa
About This Research
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