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市场调查报告书
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1446515

美国生成式人工智慧市场规模、份额、趋势分析报告：按组件、按技术、按最终用途、按应用、按模型、细分市场预测，2024-2030 年

U.S. Generative AI Market Size, Share & Trends Analysis Report By Component (Software, Services), By Technology, By End-use, By Application, By Model, And Segment Forecasts, 2024 - 2030
出版日期: | 出版商: Grand View Research | 英文 80 Pages | 商品交期: 2-10个工作天内

价格

美国生成人工智慧市场成长与趋势：

Grand View Research, Inc.的最新报告显示，到2030年，美国生成式人工智慧市场规模预计将达到337.8亿美元。

预计2024年至2030年该市场将以36.3%的复合年增长率扩张。金融、医疗保健和娱乐等不同行业的资料增加为生成式人工智慧模型提供了优质资源，使其能够产生更准确和多样化的输出，并将极大地促进生成式人工智慧在美国的扩张。我是。

COVID-19 对美国生成人工智慧市场产生了积极影响。随着组织寻求技术解决方案来适应远端工作、虚拟协作和消费行为的变化，这种流行病加速了跨产业的数位转型。对数位平台和自动化的日益依赖催生了对先进人工智慧技术（包括生成式人工智慧）的需求，以简化流程、个人化客户体验和优化业务。随着企业在不确定性下寻求创新方法以保持竞争力，对生成式人工智慧解决方案的投资激增，推动了美国生成式人工智慧市场的成长。

不断扩大的人工智慧工俱生态系统是推动生成式人工智慧市场成长的关键因素。随着人工智慧领域的不断发展，出现了各种专用的工具和平台来支援生成式人工智慧模型的开发和部署。这些工具为开发人员和研究人员提供了各种功能，从模型训练和优化到部署和监控。许多现有公司正在投资提供这些工具的公司，以加速产生人工智慧技术的进步。这项投资不仅展现了生成式人工智慧的市场潜力，还凸显了取得先进工具和平台对于推动创新和获得竞争优势的战略重要性。例如，2023 年 6 月，开发下一代创新工具的人工智慧研究公司 Runway 在 C 轮融资中从销售团队 Ventures、Google、Nvidia 和其他现有股东那里筹集了 1.41 亿美元。该公司将利用这笔资金加强内部研究工作，扩大高技能团队，开发创新且用户友好的产品，同时将先进的多模态人工智慧系统推向市场。我的目标是做到这一点。

支援生成式人工智慧市场的机器学习和人工智慧领域的投资将推动美国市场。随着投资者意识到生成式人工智慧在各行业的变革潜力，他们越来越多地将资金分配给开发最尖端科技和解决方案的新兴企业、研究机构和老牌公司。

美国产生的人工智慧市场报告亮点

  • 按组成部分来看，2023 年软体业务的收益占有率最高，为 64.8%，预计在预测期内将保持这一地位。该行业的成长得益于自动化需求的增加、人工智慧投资的增加以及该地区有利的法规环境。
  • 基于技术，变压器细分市场预计将在 2023 年占据市场主导地位，并在预测期内以 35.6% 的复合年增长率显着增长。这一趋势可能是由于变压器在各种应用中的应用不断增加而推动的，例如文字到图像的人工智慧，它将文字输入转换为视觉输出。
  • 就最终用途而言，媒体和娱乐产业在 2023 年占据了最大的收益占有率。越来越多地使用生成式人工智慧来增强宣传活动和广告新闻，预计将推动这一领域的成长。
  • 2024 年 2 月，Google LLC 发布了 ImageFX，这是一款由人工智慧驱动的影像建立工具。这个 GenAI 模型由 Google 的 DeepMind 团队设计，提供了一个基于提示的 UI，用于编辑和建立图像。使用简单的文字提示创建图像，并使用富有表现力的晶片对其进行修改。

目录

第一章调查方法与范围

第 2 章执行摘要

第 3 章美国生成人工智慧市场变数、趋势与范围

  • 市场体系展望
    • 母市场展望
    • 相关/附随市场展望
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 市场机会分析
  • 生成式人工智慧市场分析工具
    • 产业分析-波特五力分析
    • PESTEL分析

第四章美国生成式人工智慧市场：成分预测与趋势分析

  • 2023 年及 2030 年零件市场占有率
  • 细分仪表板
  • 美国生成人工智慧市场前景（按组成部分）
  • 2017年至2030年市场规模、预测与趋势分析如下

第五章美国生成式人工智慧市场：技术预测与趋势分析

  • 2023年及2030年技术市场占有率
  • 细分仪表板
  • 美国人工智慧市场技术展望
  • 2017年至2030年市场规模、预测与趋势分析如下

第六章美国生成式人工智慧市场：最终用途预测与趋势分析

  • 2023 年及 2030 年最终用途市场占有率
  • 细分仪表板
  • 按最终用途分類的美国生成人工智慧市场前景
  • 2017年至2030年市场规模、预测与趋势分析如下

第七章美国生成式人工智慧市场：应用预测与趋势分析

  • 2023年及2030年应用市场占有率
  • 细分仪表板
  • 美国人工智慧市场应用前景展望
  • 2017年至2030年市场规模、预测与趋势分析如下

第八章美国生成式人工智慧市场：模型预测与趋势分析

  • 2023年及2030年车型市场占有率
  • 细分仪表板
  • 美国生成式人工智慧市场前景（按模型）
  • 2017年至2030年市场规模、预测与趋势分析如下

第9章 竞争形势

  • 主要市场参与企业的最新趋势和影响分析
  • 公司/竞争对手分类
  • 供应商形势
    • List of key distributors and channel partners
    • Key customers
  • 公司简介
    • Google LLC
    • Amazon Web Services, Inc.
    • IBM
    • Microsoft
    • Hugging Face
    • Cohere
    • Tome.App
    • AssemblyAI
    • Midjourney
    • Klaviyo
Product Code: GVR-4-68040-197-3

U.S. Generative AI Market Growth & Trends:

The U.S. generative AI market size is anticipated to reach USD 33.78 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to expand at a CAGR of 36.3% from 2024 to 2030. Increasing data across diverse sectors such as finance, healthcare, and entertainment provides excellent resources for generative AI models, empowering them to generate more precise and varied outputs, thus contributing significantly to the expansion of generative AI in the U.S.

COVID 19 had a positive impact on the U.S. generative AI market. The pandemic accelerated digital transformation across industries as organizations aimed at technological solutions to adapt to remote work, virtual collaboration, and shifting consumer behaviors. Increased reliance on digital platforms and automation created a demand for advanced AI technologies, including generative AI, to streamline processes, personalize customer experiences, and optimize operations. As businesses looked for innovative ways to stay competitive in the face of uncertainty, investment in generative AI solutions surged, thus driving the growth of the U.S. generative AI market growth.

The expansion of the AI tool ecosystem is a significant factor fueling the growth of the generative AI market. As the field of artificial intelligence continues to evolve, various specialized tools and platforms are emerging to support the development and deployment of generative AI models. These tools offer developers and researchers a variety of capabilities, ranging from model training and optimization to deployment and monitoring. Many established companies are funding companies providing such tools to accelerate the advancement of generative AI technology. This investment not only signifies the market potential of generative AI but also underscores the strategic importance of having access to advanced tools and platforms in driving innovation and gaining a competitive edge. For instance, in June 2023, Runway, an AI research company developing next-gen creative tools, raised USD 141 million in its series C from Salesforce Ventures, Google, NVIDIA, and other existing shareholders. The company intends to utilize these funds to enhance its in-house research endeavors, enlarge its highly skilled team, and persist in delivering advanced multi-modal AI systems to the market while developing innovative and user-friendly product offerings.

Investment in the machine learning and artificial intelligence sectors to support the generative AI market will drive the U.S. market. As investors recognize the transformative potential of generative AI across industries, they are increasingly allocating capital to startups, research institutions, and established companies developing cutting-edge technologies and solutions.

U.S. Generative AI Market Report Highlights:

  • Based on components, the software segment accounted for the highest revenue share of 64.8% in 2023 and is expected to retain its position over the forecast period. The segment's growth is attributed to the rising need for automation, increased investment in artificial intelligence, and favorable regulatory environments in the region
  • Based on technology, the transformers segment dominated the market in 2023 and is expected to grow at a significant CAGR of 35.6% over the forecast period. It can be attributed to the increasing application of transformers for various applications, such as text-to-image AI, which transforms textual input into visual output, contributing to this trend
  • Regarding end-use, the media & entertainment segment accounted for the maximum revenue share in 2023. The increased utilization of generative AI to enhance campaign and advertising journalism is expected to drive the segment's growth
  • In February 2024, Google LLC launched ImageFX, an AI-powered tool for image creation. This GenAI model that Google's DeepMind team designed offers a prompt-based UI to edit or create images. It creates images with simple text prompts and modifies them using expressive chips

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Segment Definitions
    • 1.2.1. Component
    • 1.2.2. Technology
    • 1.2.3. End-use
    • 1.2.4. Application
    • 1.2.5. Model
    • 1.2.6. Estimates and forecasts timeline
  • 1.3. Research Methodology
  • 1.4. Information Procurement
    • 1.4.1. Purchased database
    • 1.4.2. GVR's internal database
    • 1.4.3. Secondary sources
    • 1.4.4. Primary research
    • 1.4.5. Details of primary research
      • 1.4.5.1. Data for primary interviews in U.S.
  • 1.5. Information or Data Analysis
    • 1.5.1. Data analysis models
  • 1.6. Market Formulation & Validation
  • 1.7. Model Details
    • 1.7.1. Commodity flow analysis (Model 1)
    • 1.7.2. Approach 1: Commodity flow approach
    • 1.7.3. Volume price analysis (Model 2)
    • 1.7.4. Approach 2: Volume price analysis
  • 1.8. List of Secondary Sources
  • 1.9. List of Primary Sources
  • 1.10. Objectives

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
    • 2.2.1. Component
    • 2.2.2. Technology outlook
    • 2.2.3. End-use outlook
    • 2.2.4. Application outlook
    • 2.2.5. Model outlook
  • 2.3. Competitive Insights

Chapter 3. U.S. Generative AI Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
    • 3.1.1. Parent market outlook
    • 3.1.2. Related/ancillary market outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market driver analysis
      • 3.2.1.1. Increasing adoption of digital technologies across industries
      • 3.2.1.2. Growing focus on digital transformation and industry 4.0
    • 3.2.2. Market restraint analysis
      • 3.2.2.1. Increasing data privacy and security concerns
    • 3.2.3. Market opportunity analysis
      • 3.2.3.1. Increasing research and development activities in technology companies
  • 3.3. Generative AI Market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's
      • 3.3.1.1. Supplier power
      • 3.3.1.2. Buyer power
      • 3.3.1.3. Substitution threat
      • 3.3.1.4. Threat of new entrant
      • 3.3.1.5. Competitive rivalry
    • 3.3.2. PESTEL Analysis
      • 3.3.2.1. Political landscape
      • 3.3.2.2. Economic landscape
      • 3.3.2.3. Social landscape
      • 3.3.2.4. Technological landscape
      • 3.3.2.5. Environmental landscape
      • 3.3.2.6. Legal landscape

Chapter 4. U.S. Generative AI Market: Component Estimates & Trends Analysis

  • 4.1. Component Market Share, 2023 & 2030
  • 4.2. Segment Dashboard
  • 4.3. U.S. Generative AI Market by Component Outlook
  • 4.4. Market Size & Forecasts and Trends Analysis, 2017 to 2030 for the following
    • 4.4.1. Software
      • 4.4.1.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 4.4.2. Services
      • 4.4.2.1. Market estimates and forecasts 2017 to 2030 (USD Million)

Chapter 5. U.S. Generative AI Market: Technology Estimates & Trends Analysis

  • 5.1. Technology Market Share, 2023 & 2030
  • 5.2. Segment Dashboard
  • 5.3. U.S. Generative AI Market by Technology Outlook
  • 5.4. Market Size & Forecasts and Trends Analysis, 2017 to 2030 for the following
    • 5.4.1. Generative Adversarial Networks (GANs)
      • 5.4.1.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 5.4.2. Transformers
      • 5.4.2.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 5.4.3. Variational auto-encoders
      • 5.4.3.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 5.4.4. Diffusion Networks
      • 5.4.4.1. Market estimates and forecasts 2017 to 2030 (USD Million)

Chapter 6. U.S. Generative AI Market: End-use Estimates & Trends Analysis

  • 6.1. End-use Market Share, 2023 & 2030
  • 6.2. Segment Dashboard
  • 6.3. U.S. Generative AI Market by End-use Outlook
  • 6.4. Market Size & Forecasts and Trends Analysis, 2017 to 2030 for the following
    • 6.4.1. Media & Entertainment
      • 6.4.1.1. Market estimates and forecasts 2017 to 2030 (USD million)
    • 6.4.2. BFSI
      • 6.4.2.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 6.4.3. IT & Telecommunication
      • 6.4.3.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 6.4.4. Healthcare
      • 6.4.4.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 6.4.5. Automotive & Transportation
      • 6.4.5.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 6.4.6. Gaming
      • 6.4.6.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 6.4.7. Others
      • 6.4.7.1. Market estimates and forecasts 2017 to 2030 (USD Million)

Chapter 7. U.S. Generative AI Market: Application Estimates & Trends Analysis

  • 7.1. Application Market Share, 2023 & 2030
  • 7.2. Segment Dashboard
  • 7.3. U.S. Generative AI Market by Application Outlook
  • 7.4. Market Size & Forecasts and Trends Analysis, 2017 to 2030 for the following
    • 7.4.1. Computer Vision
      • 7.4.1.1. Market estimates and forecasts 2017 to 2030 (USD million)
    • 7.4.2. NLP
      • 7.4.2.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 7.4.3. Robotics and Automation
      • 7.4.3.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 7.4.4. Content Generation
      • 7.4.4.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 7.4.5. Chatbots and Intelligent Virtual Assistants
      • 7.4.5.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 7.4.6. Predictive Analytics
      • 7.4.6.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 7.4.7. Others
      • 7.4.7.1. Market estimates and forecasts 2017 to 2030 (USD Million)

Chapter 8. U.S. Generative AI Market: Model Estimates & Trends Analysis

  • 8.1. Model Market Share, 2023 & 2030
  • 8.2. Segment Dashboard
  • 8.3. U.S. Generative AI Market by Model Outlook
  • 8.4. Market Size & Forecasts and Trends Analysis, 2017 to 2030 for the following
    • 8.4.1. Large Language Models
      • 8.4.1.1. Market estimates and forecasts 2017 to 2030 (USD million)
    • 8.4.2. Image & Video Generative Models
      • 8.4.2.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 8.4.3. Multi-Modal Generative Models
      • 8.4.3.1. Market estimates and forecasts 2017 to 2030 (USD Million)
    • 8.4.4. Others
      • 8.4.4.1. Market estimates and forecasts 2017 to 2030 (USD Million)

Chapter 9. Competitive Landscape

  • 9.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 9.2. Company/Competition Categorization
  • 9.3. Vendor Landscape
    • 9.3.1. List of key distributors and channel partners
    • 9.3.2. Key customers
  • 9.4. Company Profiles
    • 9.4.1. Google LLC
      • 9.4.1.1. Company overview
      • 9.4.1.2. Financial performance
      • 9.4.1.3. Product benchmarking
      • 9.4.1.4. Strategic initiatives
    • 9.4.2. Amazon Web Services, Inc.
      • 9.4.2.1. Company overview
      • 9.4.2.2. Financial performance
      • 9.4.2.3. Product benchmarking
      • 9.4.2.4. Strategic initiatives
    • 9.4.3. IBM
      • 9.4.3.1. Company overview
      • 9.4.3.2. Financial performance
      • 9.4.3.3. Product benchmarking
      • 9.4.3.4. Strategic initiatives
    • 9.4.4. Microsoft
      • 9.4.4.1. Company overview
      • 9.4.4.2. Financial performance
      • 9.4.4.3. Product benchmarking
      • 9.4.4.4. Strategic initiatives
    • 9.4.5. Hugging Face
      • 9.4.5.1. Company overview
      • 9.4.5.2. Financial performance
      • 9.4.5.3. Product benchmarking
      • 9.4.5.4. Strategic initiatives
    • 9.4.6. Cohere
      • 9.4.6.1. Company overview
      • 9.4.6.2. Financial performance
      • 9.4.6.3. Product benchmarking
      • 9.4.6.4. Strategic initiatives
    • 9.4.7. Tome.App
      • 9.4.7.1. Company overview
      • 9.4.7.2. Financial performance
      • 9.4.7.3. Product benchmarking
      • 9.4.7.4. Strategic initiatives
    • 9.4.8. AssemblyAI
      • 9.4.8.1. Company overview
      • 9.4.8.2. Financial performance
      • 9.4.8.3. Product benchmarking
      • 9.4.8.4. Strategic initiatives
    • 9.4.9. Midjourney
      • 9.4.9.1. Company overview
      • 9.4.9.2. Financial performance
      • 9.4.9.3. Product benchmarking
      • 9.4.9.4. Strategic initiatives
    • 9.4.10. Klaviyo
      • 9.4.10.1. Company overview
      • 9.4.10.2. Financial performance
      • 9.4.10.3. Product benchmarking
      • 9.4.10.4. Strategic initiatives

List of Tables

  • Table 1 List of abbreviations
  • Table 2 U.S. generative AI market, by component, 2017 - 2030 (USD Million)
  • Table 3 U.S. generative AI market, by technology, 2017 - 2030 (USD Million)
  • Table 4 U.S. generative AI market, by end-use, 2017 - 2030 (USD Million)
  • Table 5 U.S. generative AI market, by application, 2017 - 2030 (USD Million)
  • Table 6 U.S. generative AI market, by model, 2017 - 2030 (USD Million)

List of Figures

  • Fig. 1 Market research process
  • Fig. 2 U.S. generative AI market segmentation
  • Fig. 3 U.S. generative AI technology landscape
  • Fig. 4 Information procurement
  • Fig. 5 Data analysis models
  • Fig. 6 Market formulation and validation
  • Fig. 7 Data validating & publishing
  • Fig. 8 Market snapshot
  • Fig. 9 Segment snapshot (1/2)
  • Fig. 10 Segment snapshot (2/2)
  • Fig. 11 Competitive landscape snapshot
  • Fig. 12 U.S. generative AI market size and growth prospects (USD Million)
  • Fig. 13 U.S. generative AI Market: Industry value chain analysis
  • Fig. 14 U.S. generative AI Market: Market dynamics
  • Fig. 15 U.S. generative AI Market: PORTER's Analysis
  • Fig. 16 U.S. generative AI Market: PESTEL Analysis
  • Fig. 17 U.S. generative AI market: Component movement analysis
  • Fig. 18 U.S. generative AI market: Component outlook and key takeaways
  • Fig. 19 Software market estimates and forecasts, 2017 - 2030
  • Fig. 20 Service estimates and forecasts, 2017 - 2030
  • Fig. 21 U.S. generative AI Market: Technology movement analysis
  • Fig. 22 U.S. generative AI market: Technology outlook and key takeaways
  • Fig. 23 Generative Adversarial Networks (GANs) market estimates and forecasts, 2017 - 2030
  • Fig. 24 Transformers market estimates and forecasts, 2017 - 2030
  • Fig. 25 Variational auto-encoders market estimates and forecasts, 2017 - 2030
  • Fig. 26 Diffusion networks market estimates and forecasts, 2017 - 2030
  • Fig. 27 U.S. generative AI market: End-use movement analysis
  • Fig. 28 U.S. generative AI market: End-use outlook and key takeaways
  • Fig. 29 Media & entertainment market estimates and forecasts, 2017 - 2030
  • Fig. 30 BFSI market estimates and forecasts, 2017 - 2030
  • Fig. 31 IT & Telecommunication market estimates and forecasts, 2017 - 2030
  • Fig. 32 Healthcare market estimates and forecasts, 2017 - 2030
  • Fig. 33 Automotive & transportation market estimates and forecasts, 2017 - 2030
  • Fig. 34 Gaming market estimates and forecasts, 2017 - 2030
  • Fig. 35 Others market estimates and forecasts, 2017 - 2030
  • Fig. 36 U.S. generative AI market: Application movement analysis
  • Fig. 37 U.S. generative AI market: Application outlook and key takeaways
  • Fig. 38 Computer vision market estimates and forecasts, 2017 - 2030
  • Fig. 39 NLP market estimates and forecasts, 2017 - 2030
  • Fig. 40 Robotics and automation market estimates and forecasts, 2017 - 2030
  • Fig. 41 Content generation market estimates and forecasts, 2017 - 2030
  • Fig. 42 Chatbots and intelligent virtual assistants market estimates and forecasts, 2017 - 2030
  • Fig. 43 Predictive analytics market estimates and forecasts, 2017 - 2030
  • Fig. 44 Others market estimates and forecasts, 2017 - 2030
  • Fig. 45 U.S. generative AI Market: Model movement analysis
  • Fig. 46 U.S. generative AI market: Model outlook and key takeaways
  • Fig. 47 Large language models market estimates and forecasts, 2017 - 2030
  • Fig. 48 Image & video generative models market estimates and forecasts, 2017 - 2030
  • Fig. 49 Multi-modal generative models market estimates and forecasts, 2017 - 2030
  • Fig. 50 Others market estimates and forecasts, 2017 - 2030
  • Fig. 51 Key company categorization
  • Fig. 52 Company market positioning
  • Fig. 53 Key company market share analysis, 2023
  • Fig. 54 Strategic framework