In terms of revenue, the Global Mobile Artificial Intelligence Market is expected to reach USD 37.92 Billion by 2028, growing at a Compound Annual Growth Rate (CAGR) of 27.50% from 2022 to 2028. The factors driving the growth of the Global Mobile Artificial Intelligence Market include the rising use of smartphones and tablets, the increasing penetration of IoT devices, and the growing need for real-time data analytics. Mobile Artificial Intelligence is gaining traction among enterprises across various industries due to its ability to provide real-time data analytics and insights that are critical for business decision making. In addition, the use of mobile devices is becoming increasingly popular among consumers, and this trend is expected to drive demand for Mobile Artificial Intelligence solutions. However, the lack of skilled professionals and the high cost of developing AI applications may hinder the growth of the global market.
Key Highlights from the Report:
- The smartphone segment is anticipated to grow at a substantial Compound Annual Growth Rate (CAGR). The market growth is attributed to the demand for new smartphones including an AI chip, which includes AI features such as facial recognition, intelligent display rotation, and smart notifications lock further propelling the market growth
- 10nm technology nodes segment held a significant market share in 2021. High-end smartphones contain AI chips. The iPhone uses an advanced AI chip called A11 Bionic. Samsung's Exynos 9810 processor powers most of the Galaxy S9 smartphones.
- North America is the largest regional segment. This is attributed to the increasing adoption of cloud-based applications by businesses across the region. In addition, the U.S. is expected to lead the mobile artificial intelligence market during the forecast period. Thus, the presence of such countries in the region is further propelling the market growth in the region over the forecast period.
Some of the key players in the Mobile Artificial Intelligence market include - Apple (US), NVIDIA (US), Huawei (China), Samsung Electronics (South Korea), Qualcomm (US), Intel (US), IBM (US), Microsoft (US), MediaTek (Taiwan), Google (US).
Smartphones are becoming more powerful every day. AI processors are used in smartphones to perform various functions. These include facial recognition, speech recognition, image recognition, and screen rotation. AI processors are also used in smartphones to provide a better user experience by performing various functions.
Advancements in 10 nm technology node result in more power-efficient processors and better battery life and performance of smartphones. Most modern high-end smartphones compose AI chips. The iPhone X consists of Apple's A11 chip and galaxy S9 phones that are powered by the Exynos 9810 processor, which is built on the advanced 10nm FinFET process for enhanced performance and long-lasting battery life.
North America is expected to emerge as a potential market for mobile artificial intelligence. This can be attributed to the increasing adoption of cloud-based applications by SMBs. This is because many SMBs in the U.S. are using cloud-based applications to improve productivity. In addition, mobile devices are being used to implement AI applications.