Global Mobile AI Market Overview 

The Global Mobile AI Market size is estimated to reach $20.9 billion by 2026, growing at a CAGR of 29.3% over 2021-2026. Apple, Samsung, and Huawei have all released smartphones with strong AI cores that can execute up to 5 trillion operations per second while using a fraction of the power. These phones use AI to give features such as Face ID and Augmented Reality. The voice assistant is the most visible example of AI on mobile phones. There is Artificial Intelligence on your smartphone, regardless of whose family it belongs to. If you have an associate like Siri or Google Assistant, you have Artificial Intelligence. The most obvious examples of this technology are voice recognition and synthesis.

Impact of COVID-19 on Mobile AI Market:

The COVID-19 epidemic has had a good and bad impact on large enterprises throughout the world, interrupting production cycles and supply networks in various industries. As the number of infections reveals no signs of abating, the smartphone sector has encountered certain hurdles in eliminating the pandemic. A second wave of the epidemic is presently affecting half of the planet. The market for mobile artificial intelligence has been marginally dragged down by OEM manufacturing slowdowns and reduced demand for mobile smartphones and other electrical equipment (AI). However, the case will improve when vaccinations become more widely available and the pandemic becomes more under control, particularly in North America and Europe. 

Key Takeaways from Global Mobile AI Market Report:

• Evaluate market potential through analyzing growth rates (CAGR %), Volume (Units), and Value ($M) data given at country level – for Technology Node and Applications.
• Understand the different market dynamics – key driving factors, challenges, and hidden opportunities.
• Get in-depth insights into your competitor's performance – market shares, strategies, financial benchmarking, product benchmarking, SWOT, etc.
• Analyze the sales and distribution channels across key geographies to improve top-line revenues.
• Understand the industry supply chain with a deep dive on the value augmentation at each step to optimize value and bring efficiencies in your processes. 
• Get a quick outlook on the market entropy – M&As, deals, partnerships, product launches of all key players for the past four years. 
• Evaluate the supply-demand gaps, import-export statistics, and regulatory landscape for more than the top 20 countries globally for the market

By Technology Node, the market for 10 nm to grow at the highest CAGR during the forecast period

By Technologies Node, Mobile AI Market is segmented into 10nm, 20 to 28nm, 7nm, and Others. 10nm dominated the Mobile AI Market in 2020. It is the fastest-growing over the projection period, with a CAGR of 30.1%. The rising adoption of 10nm technology nodes in new high-end smartphones can be credited to the market's rise. Advances in the 10nm technological node result in more power-efficient CPUs and improved smartphone battery life and performance. AI processors are found in the majority of recent high-end smartphones. For example, the iPhone X is powered by Apple's A11 Bionic chip, whereas the Galaxy S9 is powered by Exynos 9810 processors, developed on the latest 10nm FinFET technology for increased performance and battery life.

The Asia Pacific to account for the largest market share during the forecast period

North America held the largest share of the Mobile AI Market in 2020, with a global market share of 34.4%. North America's mobile AI ecosystem is ideal for startups and SMEs in terms of government rules and compliance. Furthermore, the mobile platform is suitable for the installation of AI applications. Additionally, in the United States, businesses with more than 100 employees embrace cloud-based apps. According to estimates, nearly 35% of SMBs in the nation have already used cloud solutions. As a result, the number of businesses in the North American area increases, resulting in a strong demand for the mobile artificial intelligence market.

Asia Pacific is set to be the fastest-growing Mobile AI Market. China is the largest artificial intelligence market in APAC. Smartphones, industrial robots, and automotive applications all have much promise for mobile AI, which is helping to drive the mobile AI market in APAC.

Market Dynamics

Driver: Increasing demand for AI-capable processors in mobile devices is driving the Mobile AI Market. 

Due to oversaturated utilization of available spectrums/increasing traffic inaccessible spectrums, mobile device connectivity suffers from excessive latency, network congestion in highly populated locations, and rising levels of signal collision. Portable equipment can benefit from on-device processors that can help it calculate data in real-time with minimal delay (much lower compared to the cloud). Drones, augmented reality systems, cameras, and autonomous and semiautonomous automobiles require real-time deep learning algorithms to make rapid choices; therefore, low latency is a vital design feature. Any delay in communication due to latency might have devastating or lethal consequences.

Challenge: Increasing premium cost is restraining the Mobile AI Market growth.

Consumer perceptions and expectations of AI technology have risen due to the growing deployment of AI in numerous industrial areas. However, the dearth of low-cost, energy-efficient technology, particularly computational gear, is impeding the growth of the mobile AI business. Various AI technologies developed yet have not had a substantial influence on the AI industry. Similarly, special-purpose robots have been designed for robotic applications to do jobs such as delivering parcels and cleaning offices; but technological restrictions and the high cost of trustworthy mechanical devices hinder the adoption of such solutions.

Key Market Players

Key Players in the Global Mobile AI Market consist of Huawei, Samsung Electronics, Qualcomm, Intel Corporation, NVIDIA, AYASDI AI LLC, Baidu Inc., ClariFI, Inc., Cyrcadia Health, Enlitic, Inc among Others.

Developments

In May 2019, Intel announced a partnership with Microsoft and Asus to create the world's first AI on PC Development Kit, which will combine a brand-new laptop form factor with the latest AI software and hardware innovations, putting developers at the forefront of AI application development.

Report Coverage and Scope

The report "Global Mobile AI Market" by Research Informatic covers an in-depth detailed analysis for the following segment covered under the scope.

By Technology Node

• 20–28nm10 nm
• 7nm
• Others

By Applications

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

By Geography

• North America
• Europe
• APAC
• RoW

Global Mobile AI Market Growth, Trend and Forecast 2020-2028

Chapter 1 Mobile AI Market Overview
1.1 Product Overview and Scope of Mobile AI
1.2 Mobile AI Market Segmentation by Type
1.2.1 Global Production Market Share of Mobile AI by Type in 2019
1.2.1 Type 1
1.2.2 Type 2
1.2.3 Type 3
1.3 Mobile AI Market Segmentation by Application
1.3.1 Mobile AI Consumption Market Share by Application in 2019
1.3.2 Application 1
1.3.3 Application 2
1.3.4 Application 3
1.4 Mobile AI Market Segmentation by Regions
1.4.1 North America
1.4.2 China
1.4.3 Europe
1.4.4 Southeast Asia
1.4.5 Japan
1.4.6 India
1.5 Global Market Size (Value) of Mobile AI (2014-2028)

Chapter 2 Global Economic Impact on Mobile AI Industry
2.1 Global Macroeconomic Environment Analysis
2.1.1 Global Macroeconomic Analysis
2.1.2 Global Macroeconomic Environment Development Trend
2.2 Global Macroeconomic Environment Analysis by Regions

Chapter 3 Global Mobile AI Market Competition by Manufacturers
3.1 Global Mobile AI Production and Share by Manufacturers (2019 and 2019)
3.2 Global Mobile AI Revenue and Share by Manufacturers (2019 and 2019)
3.3 Global Mobile AI Average Price by Manufacturers (2019 and 2019)
3.4 Manufacturers Mobile AI Manufacturing Base Distribution, Production Area and Product Type
3.5 Mobile AI Market Competitive Situation and Trends
3.5.1 Mobile AI Market Concentration Rate
3.5.2 Mobile AI Market Share of Top 3 and Top 5 Manufacturers
3.5.3 Mergers & Acquisitions, Expansion

Chapter 4 Global Mobile AI Production, Revenue (Value) by Region (2014-2020)
4.1 Global Mobile AI Production by Region (2014-2020)
4.2 Global Mobile AI Production Market Share by Region (2014-2020)
4.3 Global Mobile AI Revenue (Value) and Market Share by Region (2014-2020)
4.4 Global Mobile AI Production, Revenue, Price and Gross Margin (2014-2020)
4.5 North America Mobile AI Production, Revenue, Price and Gross Margin (2014-2020)
4.6 Europe Mobile AI Production, Revenue, Price and Gross Margin (2014-2020)
4.7 China Mobile AI Production, Revenue, Price and Gross Margin (2014-2020)
4.8 Japan Mobile AI Production, Revenue, Price and Gross Margin (2014-2020)
4.9 Southeast Asia Mobile AI Production, Revenue, Price and Gross Margin (2014-2020)
4.10 India Mobile AI Production, Revenue, Price and Gross Margin (2014-2020)

Chapter 5 Global Mobile AI Supply (Production), Consumption, Export, Import by Regions (2014-2020)
5.1 Global Mobile AI Consumption by Regions (2014-2020)
5.2 North America Mobile AI Production, Consumption, Export, Import by Regions (2014-2020)
5.3 Europe Mobile AI Production, Consumption, Export, Import by Regions (2014-2020)
5.4 China Mobile AI Production, Consumption, Export, Import by Regions (2014-2020)
5.5 Japan Mobile AI Production, Consumption, Export, Import by Regions (2014-2020)
5.6 Southeast Asia Mobile AI Production, Consumption, Export, Import by Regions (2014-2020)
5.7 India Mobile AI Production, Consumption, Export, Import by Regions (2014-2020)

Chapter 6 Global Mobile AI Production, Revenue (Value), Price Trend by Type
6.1 Global Mobile AI Production and Market Share by Type (2014-2020)
6.2 Global Mobile AI Revenue and Market Share by Type (2014-2020)
6.3 Global Mobile AI Price by Type (2014-2020)
6.4 Global Mobile AI Production Growth by Type (2014-2020)

Chapter 7 Global Mobile AI Market Analysis by Application
7.1 Global Mobile AI Consumption and Market Share by Application (2014-2020)
7.2 Global Mobile AI Consumption Growth Rate by Application (2014-2020)
7.3 Market Drivers and Opportunities
7.3.1 Potential Applications
7.3.2 Emerging Markets/Countries

Chapter 8 Mobile AI Manufacturing Cost Analysis
8.1 Mobile AI Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Price Trend of Key Raw Materials
8.1.3 Key Suppliers of Raw Materials
8.1.4 Market Concentration Rate of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.2.1 Raw Materials
8.2.2 Labor Cost
8.2.3 Manufacturing Expenses
8.3 Manufacturing Process Analysis of Mobile AI

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
9.1 Mobile AI Industrial Chain Analysis
9.2 Upstream Raw Materials Sourcing
9.3 Raw Materials Sources of Mobile AI Major Manufacturers in 2019
9.4 Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders
10.1 Marketing Channel
10.1.1 Direct Marketing
10.1.2 Indirect Marketing
10.1.3 Marketing Channel Development Trend
10.2 Market Positioning
10.2.1 Pricing Strategy
10.2.2 Brand Strategy
10.2.3 Target Client
10.3 Distributors/Traders List

Chapter 11 Market Effect Factors Analysis
11.1 Technology Progress/Risk
11.1.1 Substitutes Threat
11.1.2 Technology Progress in Related Industry
11.2 Consumer Needs/Customer Preference Change
11.3 Economic/Political Environmental Change

Chapter 12 Global Mobile AI Market Forecast (2020-2028)
12.1 Global Mobile AI Production, Revenue Forecast (2020-2028)
12.2 Global Mobile AI Production, Consumption Forecast by Regions (2020-2028)
12.3 Global Mobile AI Production Forecast by Type (2020-2028)
12.4 Global Mobile AI Consumption Forecast by Application (2020-2028)
12.5 Mobile AI Price Forecast (2020-2028)

Chapter 13 Appendix