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市场调查报告书
商品编码
1500213
生成式人工智慧市场:按产品、按生成模型类型、按功能、按应用、按最终用途 - 2024-2030 年全球预测Generative AI Market by Offering (Services, Software), Generative Model Type (Autoencoders, Convolutional Neural Networks, Deep Learning Models), Function, Application, End-use - Global Forecast 2024-2030 |
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预计2023年生成式人工智慧市场规模为145.8亿美元,预计2024年将达192.1亿美元,2030年将达1,087.2亿美元,复合年增长率为33.24%。
生成式人工智慧(Generative AI)是人工智慧技术的一部分,专注于产生与原始输入相似的新内容、资料和资讯。它结合了机器学习演算法来产生包括文字、图像、音乐、音讯和其他形式媒体的输出。这些技术正在应用于娱乐、汽车和医疗保健等各个领域的内容创建、药物发现和个人化客户体验等任务。更强大、更具成本效益的运算资源(包括 GPU)和云端服务的可用性使得在大型资料集上训练复杂的生成人工智慧模型成为可能,这正在推动市场成长。线上产生的资料的快速增加为生成式人工智慧模型提供了充足的学习材料,使它们能够学习和模仿各种模式,为市场成长创造了平台。公共和私营部门日益增长的兴趣和投资,以及学术界和工业界之间的合作,正在加速生成式人工智慧技术的开发和应用。与使用生成人工智慧相关的资料隐私和安全问题正在阻碍市场成长。深度学习架构的不断探索和改进,尤其是为生成式人工智慧提供支援的神经网络,预计将为市场成长创造机会。
主要市场统计 | |
---|---|
基准年[2023] | 145.8亿美元 |
预测年份 [2024] | 192.1亿美元 |
预测年份 [2030] | 1087.2亿美元 |
复合年增长率(%) | 33.24% |
区域洞察
在美洲,美国作为生成式人工智慧开发的关键中心脱颖而出,拥有越来越多的科技公司和充满活力的Start-Ups系统。加拿大也发挥着重要作用,特别是在学术和研究方面,其研究机构以人工智慧和机器学习的突破而闻名。南美国家在采用生成式人工智慧方面正在取得进展,其中巴西和墨西哥扩大了金融、媒体和零售等领域的采用。亚太地区的生成人工智慧呈现出充满活力和多样化的格局,其特点是快速采用和创新。在中国,政府将人工智慧作为未来发展的核心技术予以战略重视。中国是许多人工智慧巨头和新兴企业在娱乐、製造和医疗保健等各个领域开拓了生成式人工智慧应用。韩国和日本以其技术力而闻名,在机器人和人工智慧方面进行了广泛的研究和开发,并将生成模型整合到各种工业和消费应用中。由于文化、经济和监管的多样性,欧洲、中东和非洲地区非常复杂。欧洲处于领先地位,多个国家对人工智慧研究和开发表现出了坚定的承诺。欧盟(EU)对人工智慧的投资,以及对《人工智慧法案》等道德标准和法规的重视,确保该地区采取平衡的方法来促进创新,同时确保负责任地部署人工智慧。英国、德国和法国以其充满活力的学术界、新兴企业和老牌公司生态系统而闻名,专注于金融、医疗保健和汽车领域的生成式人工智慧应用。在中东,阿联酋和以色列等国家正在投资人工智慧技术,包括生成式人工智慧,以推动经济多元化和创新。尤其是阿联酋,推出了多项倡议,将生成式人工智慧融入公共服务、医疗保健和教育,成为世界人工智慧中心。南非对生成式人工智慧的参与正处于成长阶段,南非、埃及和奈及利亚主要专注于将人工智慧应用于医疗保健、农业和金融普惠计划。
FPNV定位矩阵
FPNV 定位矩阵对于评估生成式 AI 市场供应商的市场定位至关重要。此矩阵提供了对供应商的全面评估,并检验了与业务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估结果,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一个综合工具,可以对产生人工智慧市场中供应商的现状进行深入而详细的评估。透过仔细比较和分析供应商的贡献,您可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他关键指标。此外,该分析还提供了对该行业竞争性质的宝贵见解,包括在研究基准年期间观察到的累积、分散主导地位和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在生成人工智慧市场中的地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[192 Pages Report] The Generative AI Market size was estimated at USD 14.58 billion in 2023 and expected to reach USD 19.21 billion in 2024, at a CAGR 33.24% to reach USD 108.72 billion by 2030.
Generative AI, a part of artificial intelligence technologies, focuses on generating new content, data, and information similar to original inputs. It incorporates machine learning algorithms to produce outputs that can include text, images, music, voice, and other forms of media. These technologies have found applications across various sectors, including entertainment, automotive, and healthcare, for tasks such as content creation, drug discovery, and personalized customer experiences. The availability of more powerful and cost-effective computing resources, both in terms of hardware, including GPUs and cloud services, has made it feasible to train complex generative AI models on large datasets, fostering market growth. The exponential growth of data generated online provides ample training material for generative AI models, enabling them to learn and mimic various patterns, creating a platform for market growth. Increased interest and investment from both public and private sectors, coupled with collaborations between academia and industry, are accelerating the development and application of generative AI technologies. Data privacy and security issues with the usage of generative AI hamper the market growth. Continuous research and improvements in deep learning architectures, particularly in neural networks that enhance the capabilities of generative AI, are expected to create opportunities for market growth.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 14.58 billion |
Estimated Year [2024] | USD 19.21 billion |
Forecast Year [2030] | USD 108.72 billion |
CAGR (%) | 33.24% |
Regional Insights
In the Americas, the United States stands out as a pivotal hub for generative AI development with the rising presence of technology companies and a dynamic startup ecosystem. Canada also plays a crucial role, particularly in academic and research contributions, with its institutions being renowned for breakthroughs in AI and machine learning. South American countries are progressively embracing generative AI, with Brazil and Mexico expanding adoption across sectors such as finance, media, and retail. The APAC region exhibits a vibrant and diverse landscape for generative AI, characterized by rapid adoption and innovation. China, with its government's strategic focus on AI as a core technology for future development. The country is home to numerous AI giants and startups pioneering generative AI applications across various sectors, including entertainment, manufacturing, and healthcare. South Korea and Japan are notable for their technological prowess, with extensive research and development in robotics and AI, integrating generative models in various industrial and consumer applications. The EMEA region presents a complex picture due to its cultural, economic, and regulatory diversity. Europe is at the forefront, with several countries exhibiting strong commitments to AI research and development. The European Union's investment in AI, along with a focus on ethical standards and regulations such as the AI Act, underscores the region's balanced approach towards fostering innovation while ensuring responsible AI deployment. The UK, Germany, and France are notable for their vibrant ecosystems comprising academia, startups, and established companies focusing on generative AI applications in finance, healthcare, and automotive sectors. In the Middle East, countries such as the UAE and Israel are investing in AI technologies, including generative AI, to drive economic diversification and innovation. The UAE, in particular, has launched several initiatives to become a global AI hub, integrating generative AI in public services, healthcare, and education. South Africa's engagement with generative AI is in growing stages, with South Africa, Egypt, and Nigeria focusing primarily on applying AI in healthcare, agricultural, and financial inclusion projects.
Market Insights
The market dynamics represent an ever-changing landscape of the Generative AI Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Generative AI Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Generative AI Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Strategic Acquisition of Clipdrop by Jasper Amplifies Multimodal Marketing Capabilities for Enterprises
Jasper acquired Clipdrop from Stability AI, marking a monumental leap in Jasper's journey towards delivering an all-encompassing, multimodal support system specifically tailored for enterprise marketing teams. The fusion of Clipdrop's technology with Jasper's AI-driven marketing solutions is anticipated to revolutionize personalized marketing strategies, offering unparalleled automation and optimization capabilities. The acquisition underscores Jasper's expansion into the European market and its commitment to nurturing the AI ecosystem in Paris. [Published On: 2024-02-22]
Visa Ventures into Generative Artificial Intelligence with a USD 100 Million Investment Fund
Visa announced the initiation of a substantial USD 100 million venture fund dedicated to nurturing startups in the generative artificial intelligence (AI) domain, marking a significant endorsement of the field alongside technology giants. This move underscores the burgeoning interest in AI technologies, particularly following the widespread acclaim of the chatbot ChatGPT. Visa aims to explore and understand the transformative potential of generative AI beyond its current applications in tasks and content creation, particularly its impact on commerce. [Published On: 2023-10-03]
Infosys and Microsoft Embark on a Pioneering AI-Driven Collaboration
Infosys announced its strategic collaboration with Microsoft to craft solutions by harnessing the power of Infosys Topaz, together with Azure OpenAI Service and Azure Cognitive Services. Uniting their AI expertise, both corporations aspire to revolutionize enterprise operations by offering AI-enhanced solutions across various sectors. The synergy with Microsoft enhances Infosys Topaz's capabilities, propelling businesses towards adopting AI-centric solutions, thereby strengthening operational efficiency, reducing processing times, safeguarding investments, and paving the way for innovative business models. [Published On: 2023-09-26]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Generative AI Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Generative AI Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, AI21 Labs Ltd., Amazon Web Services, Inc., Anthropic PBC, AssemblyAI, Inc., Clarifai, Inc., Databricks, Inc., DeepL SE, Dialpad, Inc., Genie AI Ltd., Google LLC by Alphabet Inc., Infosys Limited, International Business Machines Corporation, Lighttricks, Markovate, Inc., Meta Platforms, Inc., Microsoft Corporation, Midjourney, Inc., Mostly AI Solutions MP GmbH, OpenAI OpCo, LLC, Paige AI, Inc., Persado, Inc., Revery AI Inc., and Theai, Inc..
Market Segmentation & Coverage