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市場調查報告書
商品編碼
1363980
2023-2030 年全球自主人工智慧與自主代理市場Global Autonomous AI and Autonomous Agents Market 2023-2030 |
預計全球自主人工智慧和自主代理市場在預測期內(2023-2030 年)年複合成長率將達到 11.6%。多個垂直領域基於人工智慧的應用程式的普及主要推動了全球自主人工智慧和自主代理市場的成長。人工智慧幾乎應用於所有主要領域和領域,因為它不僅有助於改善發展,而且有助於這些自主代理的成長。此外,由於其眾多優勢,例如不斷改進的效能、提高存取即時資訊的效率以及可擴展性的提高,最終用戶對自主代理的需求不斷增加,進一步推動了自主代理市場的成長。此外,智慧家庭、移動機器人、自動駕駛汽車和智慧工廠等自主代理應用的興起,為自主代理市場的成長提供了豐厚的機會。此外,人工智慧(AI)和機器學習(ML)的持續進步以及雲端部署的成長預計將為市場提供利潤豐厚的機會。為了滿足終端用戶垂直領域對自主代理不斷成長的需求,2023 年 3 月,Google LLC 子公司 Google Cloud 與自動駕駛汽車軟體開發商 Oxbotica 合作。此次合作將有助於促進全球客戶部署自主軟體平台。
全球自主人工智慧和自主代理市場按垂直領域、技術和產品進行細分。根據垂直領域,市場細分為 BFSI、醫療保健和生命科學、IT 和電信、零售和電子商務、媒體和娛樂、能源和電力、汽車、運輸和物流、政府和國防、製造等。根據技術,市場細分為機器學習、自然語言處理、上下文感知和電腦視覺。此外,在產品的基礎上,市場被細分為軟體、硬體和服務。在這些技術中,由於預測準確性的提高或根據新資料調整系統行為,預計機器學習細分市場將佔據相當大的市場佔有率。
在垂直產業中,BFSI 細分市場預計將在全球自主人工智慧和自主代理市場中佔據相當大的佔有率。細分市場的成長歸因於多個社群媒體平台對全球人口財務支出的影響力日益增強。 BFSI(銀行、金融服務和保險)產業經歷了自治 AI 和自治代理的變革性影響,徹底改變了金融機構的運作和提供服務的方式。這些先進技術為自動化、增強決策和改善客戶體驗提供了無與倫比的機會。 BFSI 領域的自主人工智慧系統利用機器學習演算法來分析大量的金融資料和模式,並在詐欺偵測、風險管理和投資策略等領域做出自主決策。 2023 年 5 月,NVIDIA Corp. 與美國軟體公司 ServiceNow, Inc. 簽署了合作夥伴關係。此次合作之後,兩家公司將創建強大、一流的生成式人工智慧功能,透過更快、高度智慧的工作流程自動化來改變業務流程。
全球自主人工智慧和自主代理市場根據地理位置進一步細分,包括北美(美國和加拿大)、歐洲(英國、義大利、西班牙、德國、法國和歐洲其他地區)、亞太地區(印度、中國、日本、韓國和亞洲其他地區)以及世界其他地區(中東和非洲以及拉丁美洲)。其中,北美預計將在全球市場中佔據顯著佔有率,因為各個學科的人工智慧應用浪潮的興起是自主人工智慧和智慧體發展的主要因素。主要市場參與者包括Waymo (Alphabet Inc.)、Tesla, Inc.、NVIDIA Corp.、Aurora Innovation等區域內的其他企業進一步貢獻了區域市場的高佔有率。
在所有地區中,亞太地區預計在預測期內將以可觀的年複合成長率成長。區域成長歸因於自然語言處理 (NLP)、人工智慧 (Al) 和機器學習 (ML) 的創新發展和產品的早期採用。儘管全球都在採用這些趨勢,但由於全球自主代理市場的積極發展,亞太地區正在盛行。其他因素,例如更好的融資選擇、最先進的基礎設施、有利於研發的環境、龐大的客戶群以及訓練有素的勞動力,都進一步促進了區域市場的成長。
此外,由於參與者之間的激烈競爭以及該地區不斷成長的需求,該地區的自主代理公司正致力於提高收入和全球影響力。此外,中國和印度是採用新興技術的主要貢獻者,因為它們是全球最已開發國家之一,由於經濟發達,預計自主代理技術市場的融資機會將會增加。未來幾年。
Title: Global Autonomous AI and Autonomous Agents Market Size, Share & Trends Analysis Report by Vertical BFSI, Healthcare & Lifesciences, IT & Telecom, Retail & E-commerce, Media & Entertainment, Energy & Power, Automotive, Transportation & Logistics, Government & Defense, Manufacturing and Others), by Technology (Machine Learning, Natural Language Processing, Context Awareness and Computer Vision), and by Offering (Software, Hardware and Services),Forecast Period (2023-2030).
The global autonomous AI and autonomous agents market is anticipated to grow at a significant CAGR of 11.6% during the forecast period (2023-2030). The rise in the adoption of AI-based applications across several verticals majorly drives the growth of the global autonomous AI and autonomous agents market. AI is used in almost all major areas and fields, as it not only helps to improve development but also the growth of these autonomous agents. Moreover, the rise in demand for autonomous agents among end users, owing to its numerous benefits such as constantly improved performance, increased efficiency to access real-time information, and rise in scalability further fuel the growth of the autonomous agents market. Furthermore, the rise in applications of autonomous agents such as smart homes, mobile robots, self-driving cars, and intelligent factories provides lucrative opportunities for the autonomous agents' market growth. In addition, ongoing advancements in artificial intelligence (AI) and machine learning (ML) along with growth in cloud deployments are expected to provide lucrative opportunities for the market. To meet the growing demand for autonomous agents in end-user verticals, in March 2023, Google Cloud, a subsidiary of Google LLC, teamed up with Oxbotica, an autonomous vehicle software developer. This collaboration would help to facilitate the deployment of autonomous software platforms for clients across the globe.
The global autonomous AI and autonomous agents market is segmented on the vertical, technology, and offering. Based on the vertical, the market is sub-segmented into BFSI, healthcare & life sciences, IT &telecom, retail and e-commerce, media & entertainment, energy & power, automotive, transportation & logistics, government & defense, manufacturing, and others. Based on the technology, the market is sub-segmented into machine learning, natural language processing, context awareness, and computer vision. Further, on the basis of offering, the market is sub-segmented into software, hardware, and services. Among the technology, the machine learning sub-segment is anticipated to hold a considerable share of the market owing to the rise in the accuracy of predictions or adapts the system's behavior in response to new data.
Among the verticals, the BFSI sub-segment is expected to hold a considerable share of the global autonomous AI and autonomous agents market. The segmental growth is attributed to the growing influence of several social media platforms on the financial expenditures of the global population. The BFSI (Banking, Financial Services, and Insurance) sector has experienced a transformative impact from Autonomous Al and Autonomous Agents, revolutionizing how financial institutions operate and deliver services. These advanced technologies offer unparalleled opportunities for automation, enhanced decision-making, and improved customer experiences. Autonomous Al systems in the BFSI sector leverage machine learning algorithms to analyze vast amounts of financial data, and doted patterns, and make autonomous decisions in areas such as fraud detection, risk management, and investment strategies. In May2023 NVIDIA Corp. signed a partnership with ServiceNow, Inc., an American software company. Following this partnership, both companies would create powerful, top-notch generative AI capabilities that can change business processes with quicker and highly intelligent workflow automation.
The global autonomous AI and autonomous agents market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America. Among these, North America is anticipated to hold a prominent share of the market across the globe, owing to the rising tide of AI applications in a variety of disciplines is a major factor in the development of autonomous AI and agents. The presence of key market player including Waymo (Alphabet Inc.), Tesla, Inc., NVIDIA Corp., Aurora Innovation and others across the region has further contributed to the high share of the regional market.
Among all regions, the Asia-Pacific region is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to innovative developments and early adoption of products, with respect to Natural Language Processing (NLP), Artificial Intelligence (Al), and Machine Learning (ML). Even though the globe is adopting these trends, Asia-Pacific is prevailing owing to the positive development of the global autonomous agents' market. Other factors such as better funding options, state-of-the-art infrastructure, conducive surroundings for R&D, a huge customer base, and availability of a trained workforce are further contributing to the regional market growth.
Moreover, autonomous agents firms in the region are focusing on improved revenues, and global reach owing to cutting-throat competition among the players, and rising demand in the region. Besides, China and India are the key contributors to the adoption of emerging technologies, as they are among the most developed nations across the globe, owing to a developed economy, the funding opportunities in the market of autonomous agents technologies are foreseen to rise in the coming years.
The major companies serving the autonomous AI and autonomous agents market include IBM Corp., Microsoft Corp., Google LLC (Alphabet Inc.), NVIDIA Corp. and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in May 2023, SAP SE entered into a partnership with IBM Corporation, an American multinational technology corporation. Under this partnership, both companies would combine the latter's Watson AI engine over their complete solutions portfolio, consisting of SAP Business One, S/4 HANA Cloud, SAP S/4 HANA, and SAP Business By Design.