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市場調查報告書
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1446515

美國生成式人工智慧市場規模、佔有率、趨勢分析報告：按組件、按技術、按最終用途、按應用、按模型、細分市場預測，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個工作天內

價格

美國生成人工智慧市場成長與趨勢：

Grand View Research, Inc.的最新報告顯示，到2030年，美國生成式人工智慧市場規模預計將達到337.8億美元。

預計2024年至2030年該市場將以36.3%的複合年成長率擴張。金融、醫療保健和娛樂等不同行業的資料增加為生成式人工智慧模型提供了優質資源，使其能夠產生更準確和多樣化的輸出，並將極大地促進生成式人工智慧在美國的擴張。

COVID-19 對美國生成人工智慧市場產生了積極影響。隨著組織尋求技術解決方案來適應遠端工作、虛擬協作和消費行為的變化，這種流行病加速了跨產業的數位轉型。對數位平台和自動化的日益依賴催生了對先進人工智慧技術（包括生成式人工智慧）的需求，以簡化流程、個人化客戶體驗和最佳化業務。隨著企業在不確定性下尋求創新方法以保持競爭力，對生成式人工智慧解決方案的投資激增，推動了美國生成式人工智慧市場的成長。

不斷擴大的人工智慧工具生態系統是推動生成式人工智慧市場成長的關鍵因素。隨著人工智慧領域的不斷發展，出現了各種專用的工具和平台來支援生成式人工智慧模型的開發和部署。這些工具為開發人員和研究人員提供了各種功能，從模型訓練和最佳化到部署和監控。許多現有公司正在投資提供這些工具的公司，以加速產生人工智慧技術的進步。這項投資不僅展現了生成式人工智慧的市場潛力，還凸顯了取得先進工具和平台對於推動創新和獲得競爭優勢的戰略重要性。例如，2023 年 6 月，開發下一代創新工具的人工智慧研究公司 Runway 在 C 輪融資中從銷售團隊 Ventures、Google、Nvidia 和其他現有股東那裡籌集了 1.41 億美元。該公司將利用這筆資金加強內部研究工作，擴大高技能團隊，開發創新且方便用戶使用的產品，同時將先進的多模態人工智慧系統推向市場。我的目標是做到這一點。

支援生成式人工智慧市場的機器學習和人工智慧領域的投資將推動美國市場。隨著投資者意識到生成式人工智慧在各行業的變革潛力，他們擴大將資金分配給開發最尖端科技和解決方案的新興企業、研究機構和老牌公司。

美國產生的人工智慧市場報告亮點

  • 按組成部分來看，2023 年軟體業務的收益佔有率最高，為 64.8%，預計在預測期內將保持這一地位。該行業的成長得益於自動化需求的增加、人工智慧投資的增加以及該地區有利的法規環境。
  • 基於技術，變壓器細分市場預計將在 2023 年佔據市場主導地位，並在預測期內以 35.6% 的複合年成長率顯著成長。這一趨勢可能是由於變壓器在各種應用中的應用不斷增加而推動的，例如文字到圖像的人工智慧，它將文字輸入轉換為視覺輸出。
  • 就最終用途而言，媒體和娛樂產業在 2023 年佔據了最大的收益佔有率。擴大使用生成式人工智慧來增強宣傳活動和廣告新聞，預計將推動這一領域的成長。
  • 2024 年 2 月，Google LLC 發布了 ImageFX，這是一款由人工智慧驅動的影像建立工具。這個 GenAI 模型由 Google 的 DeepMind 團隊設計，提供了一個基於提示的 UI，用於編輯和建立圖像。使用簡單的文字提示創建圖像，並使用富有表現力的晶片對其進行修改。

目錄

第1章調查方法與範圍

第 2 章執行摘要

第 3 章美國生成人工智慧市場變數、趨勢與範圍

  • 市場體系展望
    • 母市場展望
    • 相關/附隨市場展望
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 市場機會分析
  • 生成式人工智慧市場分析工具
    • 產業分析-波特五力分析
    • PESTEL分析

第4章美國生成式人工智慧市場：成分預測與趨勢分析

  • 2023 年及 2030 年零件市場佔有率
  • 細分儀表板
  • 美國生成人工智慧市場前景（按組成部分）
  • 2017年至2030年市場規模、預測與趨勢分析如下

第5章美國生成式人工智慧市場：技術預測與趨勢分析

  • 2023年及2030年技術市場佔有率
  • 細分儀表板
  • 美國人工智慧市場技術展望
  • 2017年至2030年市場規模、預測與趨勢分析如下

第6章美國生成式人工智慧市場：最終用途預測與趨勢分析

  • 2023 年及 2030 年最終用途市場佔有率
  • 細分儀表板
  • 按最終用途分類的美國生成人工智慧市場前景
  • 2017年至2030年市場規模、預測與趨勢分析如下

第7章美國生成式人工智慧市場：應用預測與趨勢分析

  • 2023年及2030年應用市場佔有率
  • 細分儀表板
  • 美國人工智慧市場應用前景展望
  • 2017年至2030年市場規模、預測與趨勢分析如下

第8章美國生成式人工智慧市場：模型預測與趨勢分析

  • 2023年及2030年車型市場佔有率
  • 細分儀表板
  • 美國生成式人工智慧市場前景（按模型）
  • 2017年至2030年市場規模、預測與趨勢分析如下

第9章 競爭形勢

  • 主要市場參與企業的最新趨勢和影響分析
  • 公司/競爭對手分類
  • 供應商形勢
    • List of key distributors and channel partners
    • Key customers
  • 公司簡介
    • 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