글로벌 모바일 인공지능(AI) 시장 – 2031년까지의 산업 동향 및 예측

모바일 인공지능(AI) 시장 분석 및 규모

모바일 인공지능(AI) 시장에서 최첨단 기술은 지속적으로 사용자 경험을 재편하고 있습니다. AI와 모바일 기술의 시너지는 원활한 음성 지원을 가능하게 하는 고급 자연어 처리부터 예측 기능을 강화하는 혁신적인 머신 러닝 알고리즘에 이르기까지 전례 없는 편의성과 효율성을 촉진합니다. 이러한 혁신을 수용하면서 사용자는 점점 더 직관적이고 개인화된 방식으로 기기를 사용합니다.

예를 들어, Qualcomm Technologies, Inc.는 2023년 3월에 Snapdragon 7+ Gen 2 모바일 플랫폼을 출시하여 Snapdragon 7 시리즈만의 프리미엄 경험을 제공했습니다. 뛰어난 CPU 및 GPU 성능은 4K HDR 비디오 촬영, 저조도 사진 촬영, 중단 없는 게임, AI 강화 경험, 빠른 5G 및 Wi-Fi 네트워킹과 같은 기능을 지원하여 증강된 기능으로 세그먼트 성장을 촉진합니다.

Data Bridge Market Research는 글로벌 모바일 인공지능(AI) 시장 규모가 2023년에 82억 3천만 달러로 평가되었으며, 2031년까지 628억 9천만 달러에 도달할 것으로 예상되며, 2024년부터 2031년까지의 예측 기간 동안 CAGR은 28.95%가 될 것으로 분석했습니다. 시장 가치, 성장률, 세분화, 지리적 범위, 주요 업체와 같은 시장 시나리오에 대한 통찰력 외에도 Data Bridge Market Research에서 큐레이팅한 시장 보고서에는 심층적인 전문가 분석, 지리적으로 대표되는 회사별 생산 및 용량, 유통업체 및 파트너의 네트워크 레이아웃, 자세하고 업데이트된 가격 추세 분석, 공급망 및 수요의 적자 분석이 포함됩니다.

보고 범위 및 시장 세분화       

Market Definition

Mobile artificial intelligence (AI) refers to AI algorithms and technologies integrated into mobile devices such as smartphones and tablets. It enables tasks such as voice recognition, image processing, and predictive text. Mobile AI enhances user experience by offering personalized services, efficient resource management, and real-time decision-making capabilities, all within the confines of portable devices.

Global Mobile Artificial Intelligence (AI) Market Dynamics

Drivers

• Rising Demand for AI-Enabled Services

There is a rising demand for AI-enabled mobile services such as language translation, image recognition, and augmented reality applications. These functionalities enhance user experiences, enabling seamless communication, advanced visual capabilities, and immersive interactions. Integrating such services into mobile platforms reflects evolving consumer preferences and drives innovation in the mobile AI market.

• Advancements in AI Technology

Continuous advancements in AI algorithms, notably in machine learning and natural language processing, enhance the sophistication and effectiveness of AI-powered mobile applications. These advancements enable mobile devices to perform complex tasks with greater accuracy and efficiency, driving innovation and delivering more intelligent and personalized experiences to users worldwide, which is driving the market growth.

Opportunities

• Rise of Natural Language Processing (NLP)

NLP is increasingly common in mobile AI, enabling voice commands and natural language interactions. It drives voice recognition, language translation, sentiment analysis, and text summarization. These capabilities enhance user experience, making mobile devices more intuitive and versatile in understanding and responding to human language queries and commands.

• Rising Usage of AI Chipsets

Mobile device manufacturers are crafting specialized AI chipsets to enhance performance and energy efficiency for AI tasks. These chips expedite on-device AI computations, resulting in quicker inference and prolonged battery life. This innovation marks a significant advancement in mobile AI capabilities, catering to the growing demand for efficient and powerful AI-driven experiences on smartphones and tablets.

Restraints/Challenges

• Concern about Data Privacy

Data privacy concerns in the mobile AI market pose a significant challenge, necessitating access to personal data while adhering to stringent regulations such as GDPR. Balancing the need for data access with user privacy expectations is complex, impacting market trust and adoption. Compliance efforts add further complexity, requiring meticulous attention to privacy safeguards amidst evolving regulatory landscapes.

• Fragmentation of Platforms

The fragmentation of platforms in the mobile market, spanning diverse operating systems such as iOS and Android, alongside numerous device manufacturers, poses a significant challenge for AI developers. This fragmentation hampers market growth by complicating the creation of seamless AI applications across platforms and devices, increasing development costs and hindering widespread user adoption.

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 the 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.

Impact and Current Market Scenario of Raw Material Shortage and Shipping Delays

Data Bridge Market Research offers a high-level analysis of the market and delivers information by keeping in account the impact and current market environment of raw material shortage and shipping delays. This translates into assessing strategic possibilities, creating effective action plans, and assisting businesses in making important decisions.

Apart from the standard report, we also offer in-depth analysis of the procurement level from forecasted shipping delays, distributor mapping by region, commodity analysis, production analysis, price mapping trends, sourcing, category performance analysis, supply chain risk management solutions, advanced benchmarking, and other services for procurement and strategic support.

Expected Impact of Economic Slowdown on the Pricing and Availability of Products

When economic activity slows, industries begin to suffer. The forecasted effects of the economic downturn on the pricing and accessibility of the products are taken into account in the market insight reports and intelligence services provided by DBMR. With this, our clients can typically keep one step ahead of their competitors, project their sales and revenue, and estimate their profit and loss expenditures.

Recent Developments

• In May 2022, Avaya and Microsoft Corp. expanded their global partnership. Organizations gain enhanced productivity and customer engagement options by integrating Avaya OneCloud portfolio with Microsoft Azure. The collaboration promises unrivaled reliability, agility, and scalability, catering to the growing demands of the mobile AI market
• In March 2022, Intel Corporation's acquisition of Granulate Cloud Solutions Ltd. impacted the mobile artificial intelligence (AI) market. This strategic move aims to empower cloud and data center customers to optimize compute workload performance while curbing infrastructure and cloud costs. The integration promises to drive efficiency and innovation in mobile AI solutions
• In February 2022, Apple Inc.'s acquisition of an AI music startup marks its foray into the mobile artificial intelligence (AI) market. The startup's expertise in using AI to craft tailor-made music aligns with Apple's aim to enhance its audio offerings. This strategic acquisition underscores Apple's commitment to leveraging advanced AI technology to enrich user experiences in the mobile AI landscape

Global Mobile Artificial Intelligence (AI) Market Scope

The global mobile artificial intelligence (AI) market is segmented on the basis of technology, components, and application. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Technology

• 5nm-10nm
• 11nm-20nm
• Above 20nm

 Components

• Hardware
• Software
• Services

 Application

• Smartphones
• Drones
• Automotive
• Cameras
• Robotics
• Augmented Reality (AR),
• Virtual Reality (VR)
• Others

Global Mobile Artificial Intelligence (AI) Market Regional Analysis/Insights

The global mobile artificial intelligence (AI) market is analyzed and market size insights and trends are provided by technology, components, and application as referenced above.

The countries covered in the market report are U.S., Canada, Mexico, Brazil, Argentina and 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, and Rest of Middle East and Africa.

North America is expected to dominate the market, leveraging its conducive environment for startups and SMEs. The region's robust ecosystem fosters innovation, driving the development and adoption of AI technologies in mobile devices. This dominance reflects a dynamic landscape poised for continual growth and advancement.

아시아 태평양 지역은 이 지역의 급속한 디지털화로 인해 급증이 예상되어 시장에서 가장 높은 성장을 보일 것으로 예상됩니다. 기술 인프라가 확장되고 스마트폰 채택이 증가함에 따라 아시아 태평양 지역은 혁신을 주도하고 AI 기반 모바일 솔루션을 채택하는 주요 시장으로 부상하고 있습니다.

보고서의 국가 섹션은 또한 개별 시장 영향 요인과 국내 시장의 현재 및 미래 트렌드에 영향을 미치는 규제 변화를 제공합니다. 다운스트림 및 업스트림 가치 사슬 분석, 기술 트렌드 및 포터의 5가지 힘 분석, 사례 연구와 같은 데이터 포인트는 개별 국가의 시장 시나리오를 예측하는 데 사용되는 몇 가지 포인터입니다. 또한 글로벌 브랜드의 존재 및 가용성과 지역 및 국내 브랜드와의 대규모 또는 희소한 경쟁으로 인해 직면한 과제, 국내 관세 및 무역 경로의 영향이 국가 데이터에 대한 예측 분석을 제공하는 동안 고려됩니다.

경쟁 환경 및 글로벌 모바일 인공 지능(AI) 시장 점유율 분석

글로벌 모바일 인공지능(AI) 시장 경쟁 구도는 경쟁자별 세부 정보를 제공합니다. 포함된 세부 정보에는 회사 개요, 회사 재무, 창출된 수익, 시장 잠재력, 연구 개발 투자, 새로운 시장 이니셔티브, 글로벌 입지, 생산 현장 및 시설, 생산 용량, 회사의 강점과 약점, 제품 출시, 제품 폭과 범위, 애플리케이션 지배력이 있습니다. 위에 제공된 데이터 포인트는 시장과 관련된 회사의 초점에만 관련이 있습니다.

글로벌 모바일 인공지능(AI) 시장에서 활동하는 주요 기업은 다음과 같습니다.

• Huawei Technologies Co., Ltd. (중국)
• 삼성(한국)
• Qualcomm Technologies, Inc. (미국)
• 인텔 코퍼레이션(미국)
• 엔비디아 코퍼레이션(미국)
• 아야스디 AI 유한회사(미국)
• 바이두 주식회사(중국)
• ClariFI, Inc. (미국)
• Cyrcadia Health(미국)
• 엔리틱 주식회사(미국)
• 애플 주식회사(미국)
• IBM(미국)
• 마이크로소프트(미국)
• Imagination Technologies Ltd(영국)
• 그래프코어(영국)
• Amazon Inc. (미국)
• 디피테크놀로지(중국)
• 캠브리콘(중국)
• 구글(미국)

SKU-24995