Press Release

The Mobile Artificial Intelligence (AI) Market Is Estimated To Record a CAGR of Around 27.32% During The Forecast Period

Global generative AI market

Evolve Business Intelligence has published a research report on the Global Mobile Artificial Intelligence (AI) Market, 2023–2033. The global Mobile Artificial Intelligence (AI) market is projected to exhibit a CAGR of around 27.32% during the forecast period of 2023 to 2033.

Evolve Business Intelligence has recognized the following companies as the key players in the global Mobile Artificial Intelligence (AI) Market: Apple Inc, Google, NVIDIA Corporation, Intel Corporation, Microsoft Corporation, IBM Corporation, Qualcomm Inc, Samsung Electronics, Huawei Technology, MediaTek Inc.

 

Market Highlights

The Mobile Artificial Intelligence (AI) market is projected to be valued at USD 86.74 Billion by 2033, recording a CAGR of around 27.32% during the forecast period. Mobile Artificial Intelligence (AI) refers to the integration of artificial intelligence technologies and capabilities into mobile devices such as smartphones, tablets, wearables, and other portable devices. It involves the deployment of AI algorithms and machine learning models directly on the mobile device itself, enabling it to perform intelligent tasks and make autonomous decisions without relying on cloud-based or remote servers. Mobile AI leverages the processing power, storage, and connectivity capabilities of mobile devices to enable advanced AI functionalities on the device itself, offering real-time and personalized experiences to users. It allows mobile applications to understand and interpret user input, recognize patterns, make predictions, and perform complex tasks directly on the device, without the need for continuous internet connectivity or heavy reliance on external servers.

For More Information: https://evolvebi.com/product/mobile-artificial-intelligence-ai-market-analysis-and-global-forecast-2023-2033-with-covid-impact-analysis/

 

The COVID-19 pandemic had a positive impact on the Mobile Artificial Intelligence (AI) market as businesses faced unprecedented challenges and sought ways to streamline their operations and reduce costs. With remote work becoming the norm, organizations needed to adapt their payroll processes to accommodate distributed workforces and ensure compliance with changing regulations. Mobile Artificial Intelligence (AI) emerged as a viable solution, offering expertise in managing complex payroll tasks remotely, maintaining compliance, and alleviating the administrative burden on internal teams. The pandemic accelerated the adoption of Mobile Artificial Intelligence (AI) as businesses recognized the benefits of outsourcing payroll functions to specialized providers, leading to an increased demand for Mobile Artificial Intelligence (AI) services and driving the growth of the market.

Segmental Analysis

The global Mobile Artificial Intelligence (AI) market has been segmented based on Technology Node, Component, Application, and region.

Based on Technology Node, the Mobile Artificial Intelligence (AI) market is segmented based on 20–28nm, 10nm, 7nm, and Others. 10nm is expected to have the largest market share throughout the forecast period, while 7nm is expected to grow at the fastest rate.

Based on Components, the global Mobile Artificial Intelligence (AI) market has been divided into Hardware, Software, and Services. The Software segments are anticipated to dominate the market.

Based on the Application, the global Mobile Artificial Intelligence (AI) market has been divided into Smartphones, Cameras, Drones, Automotive, Robotics, AR/ VR, and Others. The Smartphones segments are anticipated to dominate the market.

For More Information: https://evolvebi.com/product/mobile-artificial-intelligence-ai-market-analysis-and-global-forecast-2023-2033-with-covid-impact-analysis/

 

Regional Analysis

The Mobile Artificial Intelligence (AI) market is divided into six regions: North America, Europe, Asia-Pacific, Latin America, the Middle East, and Africa. North America, comprising the US and Canada, is a prominent region in the Mobile AI market. It has a well-established mobile industry, significant technological advancements, and a high smartphone penetration rate. The presence of major technology companies and research institutions in this region drives innovation and adoption of Mobile AI applications. Europe includes countries such as the UK, Germany, France, and others. It is a mature market for Mobile AI, characterized by advanced mobile infrastructure, strong regulatory frameworks, and a tech-savvy population. The region showcases a growing demand for AI-powered mobile applications in various sectors, including healthcare, automotive, and retail. The Asia-Pacific region encompasses countries such as China, Japan, India, South Korea, and others. It is a rapidly growing market for Mobile AI due to its large population, rising smartphone penetration, and technological advancements. Countries like China have a thriving mobile industry and are known for their innovation in AI applications and services. Latin America includes countries like Brazil, Mexico, Argentina, and others. This region exhibits a growing Mobile AI market driven by the increasing adoption of smartphones and the expansion of mobile connectivity infrastructure. Mobile AI applications in areas such as e-commerce, digital banking, and healthcare are gaining traction in this region. The Middle East region comprises countries such as the UAE, Saudi Arabia, Qatar, and more. It is an emerging market for Mobile AI, fueled by the growing smartphone penetration, digital transformation initiatives, and government support for technological advancements. The region shows potential for Mobile AI applications in areas such as smart cities, healthcare, and e-commerce. Africa represents a developing market for Mobile AI, with countries like South Africa, Nigeria, Kenya, and others driving the demand. The region is experiencing an increasing adoption of smartphones, and Mobile AI applications are being explored to address various societal challenges, including healthcare access, education, and financial inclusio

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