GenAI Smartphones & AI PCs Market Size is predicted to develop a 35.22% CAGR during the forecast period for 2024-2031.
Advanced artificial intelligence technologies are being integrated into next-generation AI smartphones and AI PCs to enhance user experiences, optimize performance, and introduce new features. These gadgets utilize artificial intelligence to quickly handle vast amounts of data, acquire knowledge from user behaviors, and make intelligent judgments, providing tailored and intuitive interactions. AI smartphones and PCs are gaining enhanced capabilities in comprehending and anticipating user requirements, providing tailored guidance, and automating chores to enhance time management and optimize effectiveness.
The increased processing efficiency, improved user experiences, and expanded feature sets of these upgraded devices fuel the expansion of the worldwide market for GenAI smartphones and AI personal computers. Furthermore, with the help of generative AI, smartphones might revolutionize multimedia content creation, make photo and video editing a breeze, and offer improved speech-to-text, translation, and gaming capabilities.
However, the market growth is hampered by the anticipates about security and privacy criteria for the safety and health of GenAI smartphones & AI PCs market and the product's inability to prevent fog in environments with dramatic temperature fluctuations or GenAI smartphones & AI PCs, because Concerns about user privacy and security may arise if AI capabilities in smartphones and computers process massive volumes of personal data. Consumers may hesitate to use AI-enabled devices due to their importance in safeguarding their personal information. The degree to which the market accepts these technologies may be affected. The global market has been hit hard by the COVID-19 pandemic, and many manufacturers have had to close their doors to keep their employees safe from the virus. This has put a damper on the industry's growth prospects.
The GenAI smartphones & AI PCs market is segmented based on type, processing power, and connectivity. Based on type, the market is segmented into GenAI smartphones and AI PCs. By processing power, the market is segmented into high-performance products and mid-range and budget products. By connectivity, the market is segmented into 4G/LTE and 5G/LTE GenAI Smartphones.
The mid-range and budget products GenAI smartphones & AI PCs market is expected to hold a major global market share. Modern technological innovations have made these devices more desirable by increasing their processing capacity. The more affordable options and enhanced performance characteristics like efficient processors have made smartphones more accessible, especially in the mid-range and budget categories.
As organizations and individuals want more processing capacity for AI applications like machine learning and data analysis, AI PCs provide the infrastructure. In response to rising demand for AI-powered tasks like data analysis and machine learning, AI personal computers are powering the infrastructure that businesses and consumers rely on. Adding AI to PCs improves performance and increases the rising tide of AI-powered apps, especially in countries like the US, Germany, the UK, China, and India.
The North American GenAI smartphones & AI PCs market is expected to lead with the maximum market share in the near future. It can be attributed to the area's established technological landscape and tech-savvy customer base. The market expansion is also aided by strong infrastructure and substantial investments in research and development. Asia Pacific is to grow with a rapid rate in the global GenAI smartphones & AI PCs market due to the growing disposable income and a large population showing an increasing affinity for new technologies, which are driving market expansion in the region.
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Report Attribute |
Specifications |
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Growth Rate CAGR |
CAGR of 35.22% from 2024 to 2031 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2024 to 2031 |
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Historic Year |
2019 to 2023 |
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Forecast Year |
2024-2031 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Type, Processing Power, And Connectivity |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
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Competitive Landscape |
Apple, Google, Samsung, Qualcomm, HP, Dell, Lenovo, MSI, Intel, Microsoft, Xiaomi, Vivo, Honor, and Oppo and other prominent players |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
GenAI Smartphones & AI PCs market By Type-
GenAI Smartphones & AI PCs market By Processing Power-
GenAI Smartphones & AI PCs market By Connectivity-
GenAI Smartphones & AI PCs market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
Rest of the Middle East and Africa
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
