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市場調查報告書
商品編碼
1400641
自主人工智慧和自主代理市場規模 - 按組件(硬體、軟體、服務)、技術(機器學習、NLP、情境感知、電腦視覺)、部署模型(本地、雲端)、行業垂直和全球預測,2023 年2032Autonomous AI and Autonomous Agents Market Size-By Component (Hardware, Software, Services), Technology (Machine Learning, NLP, Context Awareness, Computer Vision), Deployment Model (On-Premises, Cloud), Industry Vertical & Global Forecast, 2023-2032 |
由於任務複雜性不斷增加以及各行業對效率的需求,自主人工智慧和自主代理市場規模預計在 2023 年至 2032 年間CAGR將超過 36.5%。企業正在利用自主代理來簡化營運、減少人為干預並提高整體生產力。隨著這些技術變得越來越複雜,從製造到客戶服務等行業都在採用自主人工智慧來自主執行任務。
機器學習和深度學習演算法的進步使自主系統能夠獨立適應、學習和決策,從而實現更高程度的自主性和效率。 2023 年 10 月,Cellarity 與 Chan Zuckerberg Initiative 合作,推進單細胞分析的新機器學習演算法。這些演算法的不斷完善,加上處理大量資料集的能力,使自主代理能夠導航複雜的環境並精確地執行複雜的任務。
自主人工智慧和自主代理產業根據組件、部署模型、技術、垂直行業和地區進行細分。
預計到 2032 年,硬體領域將大幅成長,這得益於強大的處理器和專用晶片等硬體技術的發展和創新。隨著硬體功能的進步,自主代理可以即時處理複雜的演算法和資料,從而實現更快的決策並增強整體系統效能。
由於對效率、客戶體驗和風險管理的日益重視,預計 BFSI 細分市場在 2023 年和 2032 年將出現顯著的CAGR。自主人工智慧和代理為詐欺偵測、客戶服務和資料分析等任務提供變革性解決方案,使 BFSI 產業能夠提高營運效率並提供更個人化的服務。隨著金融交易的複雜性不斷增加以及即時決策的需求,自主人工智慧有助於最佳化流程、改善安全措施並提升整體客戶體驗。
由於嚴格的監管框架以及對資料隱私和安全的關注,歐洲自主人工智慧和自主代理行業佔有率將在 2023 年至 2032 年實現令人印象深刻的成長。該地區對永續發展和創新的承諾促進了從智慧城市到製造業等各行業的自主代理的整合,以提高能源效率和營運永續性。政府、研究機構和企業之間的合作措施進一步加速了自主人工智慧的開發和部署,促進了區域市場的成長。
Autonomous AI and Autonomous Agents Market size is estimated to register a CAGR of over 36.5% between 2023 and 2032, owing to the rising complexity of tasks and the need for efficiency across various industries. Businesses are leveraging autonomous agents to streamline operations, reduce human intervention, and enhance overall productivity. As these technologies become more sophisticated, industries ranging from manufacturing to customer service are incorporating autonomous AI to perform tasks autonomously.
The advancements in machine learning and deep learning algorithms enable autonomous systems to adapt, learn, and make decisions independently, fostering a higher degree of autonomy and efficiency. In October 2023, Cellarity collaborated with the Chan Zuckerberg Initiative to advance new machine learning algorithms for single-cell analysis. The continuous refinement of these algorithms, coupled with the ability to handle vast datasets, empowers autonomous agents to navigate complex environments and perform intricate tasks with precision.
Autonomous AI and autonomous agents industry is segmented based on component, deployment model, technology, industry vertical and region.
Hardware segment is anticipated to witness substantial growth through 2032, favored by the evolution and innovation in hardware technologies, such as powerful processors and specialized chips. As hardware capabilities advance, autonomous agents process complex algorithms and data in real-time, enabling quicker decision-making and enhancing overall system performance.
BFSI segment is anticipated to observe a significant CAGR during 2023 and 2032, driven by the growing emphasis on efficiency, customer experience, and risk management. Autonomous AI and agents offer transformative solutions for tasks such as fraud detection, customer service, and data analysis, enabling the BFSI industry to enhance operational efficiency and provide more personalized services. With the growing complexity of financial transactions and the need for real-time decision-making, autonomous AI helps to optimize processes, improve security measures, and elevate the overall customer experience.
Europe autonomous AI and autonomous agents industry share will record impressive growth over 2023-2032, attributed to stringent regulatory frameworks and a focus on data privacy and security. The region's commitment to sustainability and innovation fosters the integration of autonomous agents across various industries, from smart cities to manufacturing, to enhance energy efficiency and operational sustainability. The collaborative initiatives between governments, research institutions, and businesses further accelerate the development and deployment of autonomous AI, bolstering the regional market growth.