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市场调查报告书
商品编码
1954837
通用人工智慧(AGI)市场规模、占有率、成长及全球产业分析:依类型、应用和地区划分的洞察与预测(2026–2034)Artificial General Intelligence Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2026-2034 |
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随着企业和政府加大对具备类人推理、学习和决策能力的高阶人工智慧系统的投资,全球通用人工智慧(AGI)市场正经历快速成长。报告显示,2025年全球通用人工智慧(AGI)市场规模为 10.8亿美元。预计到2026年市场规模将达到 13.9亿美元,到2034年将达到 18.5亿美元,预测期内年复合成长率(CAGR)高达 38.2%。2025年,北美市场将占据领先地位,这得益于先进的数位基础设施、强大的风险投资以及领先科技公司所进行的大量研发活动。
通用人工智慧(AGI)指的是一种人工智慧形式,目的是理解、学习和应用智能,以达到与人类认知能力相当的水准,完成各种任务。与狭义的人工智慧不同,AGI 系统能够跨领域泛化知识,实现推理、抽象思维、问题解决和情境理解。 IBM、Alphabet、Microsoft、NVIDIA、Meta 和 OpenAI 等领先公司积极投资 AGI 研究,以建立可扩展且适应性强的智慧系统。
市场定义与范围
通用人工智慧(AGI)代表了人工智慧发展的下一个阶段,目的是跨多个领域复製类似人类的认知灵活性。 AGI 系统目的是处理结构化和非结构化资料,包括文字、图像、音频和视频,并且无需针对特定任务进行编程即可执行复杂的智慧任务。
本研究涵盖通用人工智慧(AGI)在自主机器人、人形人工智慧、导航和自主系统、编码智慧、客户服务、医疗保健、银行、金融和保险(BFSI)、製造业、汽车、IT和电信、政府和国防、零售以及教育等领域的应用。此外,本研究也探讨了生成式人工智慧的最新进展,将其视为AGI系统开发和商业化的关键一步。
市场动态
驱动因素
巨量资料可用性和运算能力的提升是通用人工智慧市场成长的关键驱动因素。2024年,全球资料量达到约149泽字节(ZB),预计到2025年底,由于物联网设备、云端平台和即时资料处理的进步,资料量将成长至181泽字节。 AGI系统高度依赖庞大且多样化的资料集来模拟人类的认知和推理能力。
此外,Microsoft、Google和Amazon等公司对云端运算基础设施的大量投资,大大降低了训练和部署大规模人工智慧(AI)和通用人工智慧(AGI)模型的门槛。云端平台提供可扩展的运算资源,使公司和研究机构能够进行实验和创新,而无需承担高昂的初始基础设施成本。
趋势
影响市场发展的关键趋势之一是通用人工智慧(AGI)在艺术、音乐、文学和设计等创意产业中的应用。 AGI 系统分析大量创意内容,产生独特的成果,辅助设计师,并提升人类的创造力。在时尚和数位设计领域,AGI 能够在保持原创性和艺术价值的同时,实现趋势预测。
限制因子
缺乏标准化仍然是通用人工智慧(AGI)市场面临的主要挑战。缺乏用于模型开发、训练和性能评估的通用框架,导致市场碎片化和整合方面的挑战。此外,实现人类层级的抽象、推理和适应能力在技术上十分复杂,减缓了通用人工智慧(AGI)的广泛应用。
依部署类型划分,基于云端的AGI解决方案占据市场主导地位,具有成本效益高、可扩展以及能够存取高效能运算等优势。MicrosoftAzure和Google云端等云端平台让企业无需投资专用硬体即可部署AGI解决方案。边缘/嵌入式细分市场预计将稳定成长,这得益于其降低延迟、提高资料隐私性和离线运作能力等优势。
依类型划分,自学习AGI占据最大的市场占有率,预计到2026年将占全球市场占有率的37.41%。这是因为这些系统无需人工干预即可持续改进。依应用划分,自主机器人和人形AI将在2026年占据32.37%的市场。这主要得益于人机互动、情绪智商和自适应行为方面的进步。依最终用户划分,银行、金融和保险(BFSI)行业将在2026年占据市场主导地位,市场占有率达到 21.58%。这得益于人工智慧(AGI)分析复杂金融资料集和市场讯号的能力。
北美将引领通用人工智慧市场,2025年市场估值达 5.9亿美元,预计到2026年将成长至 8.1亿美元,这得益于强大的融资生态系统和政府政策,例如美国《国家人工智慧倡议法案》。亚太地区预计将实现显着成长,这得益于中国、日本和韩国的国家人工智慧战略。印度市场预计到2026年将达到 6.8亿美元,这主要得益于数位转型和对人工智慧基础设施投资的不断增加。欧洲透过合作研究计画持续保持稳定成长,而南美和中东及非洲地区则在基础建设的支持下逐步采用人工智慧技术。本报告对全球通用人工智慧(AGI)市场进行了详细分析,包括市场规模、成长驱动因素、趋势、限制因素、依部署形式、类型、应用和最终用户划分的市场细分、区域展望、竞争格局以及2025年、2026年和2034年的最新发展。
The global artificial general intelligence market is witnessing rapid expansion as enterprises and governments increasingly invest in advanced AI systems capable of human-like reasoning, learning, and decision-making. According to the report, the global artificial general intelligence market size was valued at USD 1.08 billion in 2025. The market is projected to be worth USD 1.39 billion in 2026 and reach USD 1.85 billion by 2034, exhibiting a strong CAGR of 38.2% during the forecast period. In 2025, North America dominated the market, supported by advanced digital infrastructure, strong venture capital funding, and extensive research activities by leading technology companies.
Artificial General Intelligence (AGI) refers to a form of artificial intelligence designed to understand, learn, and apply intelligence across a wide range of tasks at a level comparable to human cognitive abilities. Unlike narrow AI, AGI systems can generalize knowledge across domains, enabling reasoning, abstract thinking, problem-solving, and contextual understanding. Major players such as IBM Corporation, Alphabet Inc., Microsoft Corporation, NVIDIA Corporation, Meta, and OpenAI are actively investing in AGI research to build scalable and adaptable intelligent systems.
Market Definition and Scope
Artificial General Intelligence represents the next evolution of artificial intelligence, aiming to replicate human-like cognitive flexibility across multiple domains. AGI systems are designed to process structured and unstructured data, including text, images, audio, and video, enabling them to perform complex intellectual tasks without task-specific programming.
The market scope includes AGI applications across autonomous robotics, humanoid AI, navigation and autonomous systems, coding intelligence, customer service, healthcare, BFSI, manufacturing, automotive, IT & telecom, government & defense, retail, and education sectors. The report also considers ongoing advancements in generative AI as a foundational step toward the development and commercialization of AGI systems.
Market Dynamics
Drivers
The availability of big data and enhanced computational power is a key driver fueling artificial general intelligence market growth. In 2024, the global data volume reached approximately 149 zettabytes, and it is expected to rise to 181 zettabytes by the end of 2025, driven by IoT devices, cloud platforms, and real-time data processing. AGI systems rely heavily on vast and diverse datasets to simulate human cognition and reasoning capabilities.
Additionally, heavy investments in cloud computing infrastructure by companies such as Microsoft, Google, and Amazon have significantly reduced barriers to training and deploying large-scale AI and AGI models. Cloud platforms enable scalable computing resources, allowing enterprises and research institutions to experiment and innovate without high upfront infrastructure costs.
Trends
A major trend shaping the market is the use of AGI in creative industries, including art, music, literature, and design. AGI systems analyze large volumes of creative content to generate original outputs, assist designers, and enhance human creativity. In fashion and digital design, AGI enables trend prediction while maintaining originality and artistic value.
Restraints
The lack of standardization remains a major challenge for the AGI market. The absence of universal frameworks for model development, training, and performance evaluation leads to market fragmentation and integration challenges. Moreover, achieving human-level abstraction, reasoning, and adaptability remains technically complex, slowing widespread AGI deployment.
By deployment, cloud-based AGI solutions dominate the market, offering cost efficiency, scalability, and access to high-performance computing. Cloud platforms such as Microsoft Azure and Google Cloud enable organizations to deploy AGI solutions without investing in dedicated hardware. The edge/embedded segment is expected to grow steadily due to benefits such as reduced latency, improved data privacy, and offline operational capabilities.
By type, self-learning AGI holds the largest market share and is expected to contribute 37.41% globally in 2026, as these systems continuously improve without human intervention. By application, autonomous robotics and humanoid AI accounted for 32.37% market share in 2026, driven by advancements in human-robot interaction, emotional intelligence, and adaptive behavior. By end user, BFSI dominated the market with a 21.58% share in 2026, supported by AGI's ability to analyze complex financial datasets and market signals.
North America led the artificial general intelligence market with a valuation of USD 0.59 billion in 2025, increasing to USD 0.81 billion in 2026, driven by strong funding ecosystems and government initiatives such as the U.S. National Artificial Intelligence Initiative Act. Asia Pacific is projected to grow significantly, supported by national AI strategies in China, Japan, and South Korea. The India market is projected to reach USD 0.68 billion by 2026, driven by rising digital transformation and AI infrastructure investments. Europe continues to grow steadily through collaborative research initiatives, while South America and the Middle East & Africa are witnessing gradual adoption supported by infrastructure development.
Competitive Landscape
The market is highly competitive, with key players focusing on research, strategic collaborations, and responsible AGI development. Major companies include OpenAI, Microsoft, Google DeepMind, Meta, NVIDIA Corporation, IBM, Numenta, and Anthropic, among others.
Report Coverage
This report provides an in-depth analysis of the global artificial general intelligence market, covering market size for 2025, 2026, and 2034, growth drivers, trends, restraints, segmentation by deployment, type, application, and end user, regional outlook, competitive landscape, and recent industry developments.
Conclusion
Growing from USD 1.08 billion in 2025 to USD 1.85 billion by 2034, the artificial general intelligence market is set for rapid expansion. Continuous advancements in big data analytics, cloud computing, and generative AI, along with rising investments from technology leaders and governments, are expected to accelerate the development and adoption of AGI across multiple industries during the forecast period.
Segmentation By Deployment
By Type
By Application
By End-user
By Region
Companies Profiled in the Report * IBM Corporation (U.S.)