市場調查報告書
商品編碼
1601084
行動人工智慧市場:按技術節點、功能、設備類型、應用和產業分類 - 2025-2030 年全球預測Mobile Artificial Intelligence Market by Technology Node (10nm, 20-28nm, 7nm), Functionalities (Image Recognition, Intelligent Virtual Assistants, Predictive Text), Device Type, Application, Industry - Global Forecast 2025-2030 |
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2023年行動人工智慧市場規模為174.6億美元,預計2024年將達到214.1億美元,複合年成長率為24.61%,到2030年將達到815.1億美元。
行動人工智慧(AI)是指將人工智慧功能整合到行動裝置中,從而實現從改進的使用者體驗和語音助理到進階影像識別和即時資料處理的廣泛應用。對行動人工智慧的需求源於對更智慧、更有效率、響應更靈敏的行動應用程式不斷成長的需求,這些應用程式可以提供個人化服務並改善設備功能。應用涵蓋遠端醫療和病患監測的醫療保健、行動銀行和詐騙偵測的金融以及個人化購物體驗的零售等行業。最終用途包括智慧型手機、平板電腦、無人機、物聯網設備等,人工智慧可最佳化效能並提供新功能。
主要市場統計 | |
---|---|
基準年[2023] | 174.6億美元 |
預測年份 [2024] | 214.1億美元 |
預測年份 [2030] | 815.1億美元 |
複合年成長率(%) | 24.61% |
關鍵的成長要素包括促進行動裝置上即時人工智慧處理的 5G 網路的普及、人工智慧演算法的進步以及對邊緣運算的需求增加。機會在於利用這些進步為自動駕駛汽車和擴增實境等快速成長的領域開發人工智慧驅動的應用程式。企業應專注於與通訊公司合作,利用 5G 功能,並投資研究適用於依賴電池的行動裝置的節能人工智慧模型。
然而,資料隱私問題、圍繞人工智慧決策的道德考慮以及影響處理速度和儲存容量的硬體限制等挑戰可能會阻礙市場成長。創新的時機已經成熟,包括開發緊湊且節能的人工智慧晶片、增強人工智慧模型的訓練方式以及確保穩健的資料隱私通訊協定。行動人工智慧市場本質上是動態的,其特點是技術快速發展和激烈競爭,要求企業不斷創新和適應以保持競爭力。為了實現成長,企業必須投資持續的研發,建立策略夥伴關係和聯盟,並靈活地回應新趨勢和消費者需求。為了最大限度地發揮潛力並推動長期成長,我們需要符合全球技術趨勢和社會經濟因素的自適應、安全和擴充性的人工智慧主導的行動解決方案。
市場動態:揭示快速發展的行動人工智慧市場的關鍵市場洞察
供需的動態相互作用正在改變行動人工智慧市場。透過了解這些不斷變化的市場動態,公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險,同時也能幫助企業了解消費行為及其對製造業的影響。
波特五力:駕馭行動人工智慧市場的策略工具
波特的五力框架是理解市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢,解決弱點並避免潛在的挑戰,從而確保更強大的市場地位。
PESTLE分析:了解行動人工智慧市場的外部影響
外部宏觀環境因素在塑造行動人工智慧市場的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素,公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化,並幫助他們做出積極主動的決策。
市場佔有率分析 了解行動人工智慧市場競爭格局
行動人工智慧市場的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢,為供應商提供了製定策略決策所需的洞察力,使他們能夠在日益激烈的競爭中佔有一席之地。
FPNV定位矩陣行動人工智慧市場廠商績效評估
FPNV定位矩陣是評估行動人工智慧市場供應商的重要工具。此矩陣允許業務組織根據商務策略和產品滿意度評估供應商,從而做出與其目標相符的明智決策。四個象限清楚且準確地分類供應商,幫助使用者辨識最能滿足其策略目標的合作夥伴和解決方案。
1. 市場滲透率:對當前市場環境的詳細回顧,包括行業主要企業的大量資料。
2. 市場開拓:辨識新興市場的成長機會,評估現有領域的擴張潛力,並提供未來成長的策略藍圖。
3. 市場多元化:分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。
4. 競爭評估與情報:徹底分析競爭格局,檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。
5. 產品開發與創新:重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。
1.目前的市場規模和未來的成長預測是多少?
2. 哪些產品、區隔市場和地區提供最佳投資機會?
3.塑造市場的主要技術趨勢和監管影響是什麼?
4.主要廠商的市場佔有率和競爭地位如何?
5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼?
The Mobile Artificial Intelligence Market was valued at USD 17.46 billion in 2023, expected to reach USD 21.41 billion in 2024, and is projected to grow at a CAGR of 24.61%, to USD 81.51 billion by 2030.
Mobile Artificial Intelligence (AI) refers to the integration of AI capabilities into mobile devices, enabling applications that range from enhanced user experiences and voice assistants to advanced image recognition and real-time data processing. The necessity of mobile AI emerges from the growing demand for smarter, more efficient, and responsive mobile applications that offer personalized services and improve device functionalities. Applications span across industries such as healthcare for telemedicine and patient monitoring, finance for mobile banking and fraud detection, and retail for personalized shopping experiences. The end-use scope includes smartphones, tablets, drones, and IoT devices, where AI can optimize performance and provide new functionalities.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 17.46 billion |
Estimated Year [2024] | USD 21.41 billion |
Forecast Year [2030] | USD 81.51 billion |
CAGR (%) | 24.61% |
Key growth factors include the proliferation of 5G networks facilitating real-time AI processing on mobile devices, advancements in AI algorithms, and increased demand for edge computing. Opportunities lie in exploiting these advances to develop AI-driven applications for burgeoning sectors like autonomous vehicles and augmented reality. Companies should focus on partnerships with telecommunication firms to leverage 5G capabilities and invest in research for energy-efficient AI models suited for battery-dependent mobile devices.
However, market growth may be impeded by challenges such as data privacy concerns, ethical considerations around AI decision-making, and hardware limitations affecting processing speed and storage capacity. Innovations are ripe in developing compact and energy-efficient AI chips, enhancing AI model training methods, and ensuring robust data privacy protocols. The mobile AI market is inherently dynamic, characterized by rapid technological evolution and intense competition, demanding businesses to consistently innovate and adapt to maintain a competitive edge. To harness growth, firms should invest in continuous R&D, forge strategic partnerships and alliances, and remain agile to respond to emerging trends and consumer demands. An essential focus should be on creating adaptable, secure, and scalable AI-driven mobile solutions that align with global tech trends and socio-economic factors to maximize potential and drive long-term growth.
Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Mobile Artificial Intelligence Market
The Mobile Artificial Intelligence Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.
Porter's Five Forces: A Strategic Tool for Navigating the Mobile Artificial Intelligence Market
Porter's five forces framework is a critical tool for understanding the competitive landscape of the Mobile Artificial Intelligence Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.
PESTLE Analysis: Navigating External Influences in the Mobile Artificial Intelligence Market
External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Mobile Artificial Intelligence Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.
Market Share Analysis: Understanding the Competitive Landscape in the Mobile Artificial Intelligence Market
A detailed market share analysis in the Mobile Artificial Intelligence Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.
FPNV Positioning Matrix: Evaluating Vendors' Performance in the Mobile Artificial Intelligence Market
The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Mobile Artificial Intelligence Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.
Key Company Profiles
The report delves into recent significant developments in the Mobile Artificial Intelligence Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., AIMobile Co., Ltd., AIStorm Inc., Apple Inc., AT&T Inc., Blaize, Inc., Cerebras Systems Inc., DataRobot, Inc., Google LLC by Alphabet Inc., Graphcore Ltd., Huawei Technologies Co., Ltd., Imagination Technologies Ltd., Intel Corporation, International Business Machines Corporation, Kneron, Inc., MediaTek Inc., Meta Platforms, Inc., Microsoft Corporation, Nvidia Corporation, Passio, Inc., Qualcomm Incorporated, rabbitAI GmbH, Rockchip Electronics Co., Ltd., SambaNova Systems, Inc., Samsung Electronics Co., Ltd., Shanghai Thinkforce Electronic Technology Co., Ltd., Turing Video, and Zhongke Cambrian Technology Co., Ltd..
Market Segmentation & Coverage
1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.
2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.
3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.
4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.
5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.
1. What is the current market size, and what is the forecasted growth?
2. Which products, segments, and regions offer the best investment opportunities?
3. What are the key technology trends and regulatory influences shaping the market?
4. How do leading vendors rank in terms of market share and competitive positioning?
5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?