Global Mobile Artificial Intelligence (AI) Market, By Technology (5nm-10nm, 11nm-20nm, Above 20nm), Components (Hardware, Software, Services), Application (Smartphones, Drones, Automotive, Cameras, Robotics, Augmented Reality (AR), Virtual Reality (VR), Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2029.
Market Analysis and Insights Global Mobile Artificial Intelligence (AI) Market
The mobile artificial intelligence (AI) market is expected to witness market growth at a rate of 28.95% in the forecast period of 2022 to 2029, and is estimated to reach the value of USD 37.83 billion by 2029. Data Bridge Market Research report on mobile artificial intelligence (AI) market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecast period while providing their impacts on the market’s growth. The increase in the use of product in various industries globally is escalating the growth of mobile artificial intelligence (AI) market.
Artificial Intelligence (AI) refers to a branch of computer science that plays crucial role in day to day lives and possesses abilities for transforming the technological landscape. Under this technology data is provided to the system and then trained accordingly in order to create an artificially intelligent system.
The increase in the number of AI applications across the globe acts as one of the major factors driving the growth of mobile artificial intelligence (AI) market. The surge in demand for AI-capable processors in mobile devices, along with rise in investment in artificial intelligence (AI) technologies accelerate the market growth. The rise in the use of AI technology in various applications in industrial, automotive and video gaming, and development of AI features for smartphones according to the needs of the users further influence the market. Additionally, rapid infrastructural developments, rapid industrialization, expansion of end use industry, emergence of industry 4.0, and rise of cognitive computing positively affect the mobile artificial intelligence (AI) market. Furthermore, dedicated low-cost AI chips for camera and vision applications in mobile devices extend profitable opportunities to the market players in the forecast period of 2022 to 2029.
On the other hand, high price associated with the AI processors and limited number of AI experts are expected to obstruct the market growth. Unreliability of AI algorithms in mobile apps and creating models and mechanisms of AI are projected to challenge the mobile artificial intelligence (AI) market in the forecast period of 2022-2029.
This mobile artificial intelligence (AI) market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on mobile artificial intelligence (AI) market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Mobile Artificial Intelligence (AI) Market Scope and Market Size
The mobile artificial intelligence (AI) market is segmented on the basis of technology, components and application. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- On the basis of technology, the mobile artificial intelligence (AI) market is segmented into 5nm-10nm, 11nm-20nm and above 20nm.
- On the basis of component, the mobile artificial intelligence (AI) market is segmented into hardware, software and services. Hardware can be further segmented into processor, memory, sensor and others. Processor can be further sub-segmented into central processing unit (CPU), graphics processing unit (GPU), field-programmable gate array (FPGA), application-specific integrated circuit (ASIC) and tensor processing unit (TPU). Software can be further segmented into software tool and platform.
- On the basis of application, the mobile artificial intelligence (AI) market is segmented into smartphones, drones, automotive, cameras, robotics, augmented reality (AR), virtual reality (VR) and others.
Mobile Artificial Intelligence (AI) Market Country Level Analysis
The mobile artificial intelligence (AI) market is analyzed and market size, volume information is provided by country, technology, components and application as referenced above.
The countries covered in the mobile artificial intelligence (AI) market report are the U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
North America dominate the mobile artificial intelligence (AI) market due to the presence of suitable environment for startups and SMEs within the region. Asia-Pacific is expected to witness highest growth during the forecast period of 2022 to 2029 because of the rapid digitization in the region.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Mobile Artificial Intelligence (AI) Market Share Analysis
The mobile artificial intelligence (AI) market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to mobile artificial intelligence (AI) market.
Some of the major players operating in the mobile artificial intelligence (AI) market report are Huawei, Samsung Electronics, Qualcomm, Intel Corporation, NVIDIA, AYASDI AI LLC, Baidu Inc., ClariFI, Inc., Cyrcadia Health, Enlitic, Inc., Apple, IBM Corporation, Microsoft, MediaTek, Imagination Technologies Ltd, Graphcore, Amazon Inc., Deephi Technology, Cambricon and Google among others.
Customization Available : Global Mobile Artificial Intelligence (AI) Market
Data Bridge Market Research is a leader in consulting and advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include production cost analysis, trade route analysis, price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), import export and grey area results data, literature review, consumer analysis and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.