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全球生成人工智慧 (AI) 市場

Generative Artificial Intelligence (AI)
出版日期: | 出版商: Global Industry Analysts, Inc. | 英文 1152 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

到 2030 年，全球生成人工智慧 (AI) 市場規模將達到 1,383 億美元

2023 年全球生成人工智慧 (AI) 市場規模估計為 152 億美元，預計到 2030 年將達到 1,383 億美元，2023-2030 年分析期內的複合年成長率為 37.1%。媒體和娛樂終端用戶是報告中分析的細分市場之一，預計到分析期結束時複合年成長率將達到 41.0%，達到 393 億美元。在分析期間內，IT 和電信終端用戶領域的複合年成長率預計為 31.6%。

美國市場預計將達到 53 億美元，中國市場複合年成長率將達到 43.7%

預計 2023 年美國人工智慧 (AI) 市場價值將達到 53 億美元。中國是世界第二大經濟體，預計到 2030 年市場規模將達到 184 億美元，2023-2030 年分析期間的複合年成長率為 43.7%。其他值得注意的區域市場包括日本和加拿大，預計在分析期間的複合年成長率分別為 31.6% 和 33.3%。在歐洲，預計德國的複合年成長率約為 39.1%。

全球人工智慧 (AI) 市場 - 主要趨勢和促進因素摘要

什麼是產生人工智慧（AI）？

生成式人工智慧 (AI) 是指一類機器學習技術，它使電腦能夠透過從現有資料中學習模式來創建新內容，例如文字、圖像、音訊、影片甚至程式碼。生成式人工智慧模型，例如生成對抗網路 (GAN)、變分自編碼器 (VAE) 和基於 Transformer 的模型（如 GPT），能夠生成與人類創建的資料類似的內容，並且在創新產業、資料科學。透過理解和產生真實的內容，生成性人工智慧正在推動廣泛領域的創新和自動化。

生成式人工智慧的變革力量在於它能夠執行以前需要人類專業知識才能完成的複雜創造性和分析性任務。在數位媒體等創新領域，生成性人工智慧可以實現自動圖像合成、影片創作和音樂創作，為藝術家和負責人提供內容生成的新工具。在依賴大型資料集的行業（例如醫療保健和金融）中，生成式 AI 可以透過產生合成資料來幫助企業提高模型準確性、保護隱私並為機器學習應用程式提供動力，並提供預測性見解。生成式人工智慧能夠快速合成和分析大量資料，這使企業能夠簡化流程、降低成本並改善決策，這在資料驅動的世界中至關重要。

此外，生成式人工智慧支援快速原型製作、個人化和創新，以加速新產品、服務和數位體驗的開發。例如，在製造和設計領域，生成式人工智慧可以幫助創建 3D 模型和設計原型，讓團隊快速探索設計的可能性。在零售和客戶服務領域，生成式人工智慧將透過創建客製化建議和對話介面來改善用戶體驗，從而增強個人化。鑑於其靈活性和在多個領域的應用潛力，生成式人工智慧被定位為一種革命性的工具和全球各行業數位轉型的催化劑。

技術進步和產業需求如何形塑生成式人工智慧市場？

深度學習、大規模語言模型和運算能力的技術進步正在改變生成式人工智慧市場，使這些系統更加複雜、更易於訪問，並能夠為各個行業提供高品質的輸出。深度學習的突破，尤其是基於 Transformer 的架構，已經推動了 GPT、BERT 和 DALL-E 等先進模型的發展，這些模型能夠產生連貫的文字、逼真的圖像，甚至複雜的程式碼。這些模型擴展了生成式人工智慧的能力，實現了高解析度圖像生成、類人文字生成以及複雜 3D 物件的創建。隨著這些模型變得越來越複雜，它們正在擴大生成式人工智慧的範圍，提供從內容創作到科學研究的廣泛應用。

大規模語言模型 (LLM) 透過實現更自然的對話和複雜的內容生成功能進一步塑造市場。這些模型在海量資料集上進行訓練，能夠理解背景、細微差別和特定使用者意圖，從而實現客戶支援、個人化行銷和對話式人工智慧等使用案例。 LLM 擴大被用於支援聊天機器人、虛擬助理和建議引擎，以理解和回應客戶偏好，從而提高客戶滿意度和參與度。隨著組織將這些模型融入業務中，生成式人工智慧將繼續變得更加以用戶為中心，提供客製化、相關且響應迅速的輸出。

隨著企業尋求創新方法來自動化重複性任務、改善客戶體驗和管理大型資料集，對擴充性、個人化和自動化的需求也影響著生成性人工智慧市場。生成式人工智慧為企業提供了自動化內容創建、分析客戶行為模式以及產生合成資料來訓練模型的工具。在電子商務領域，生成式人工智慧可以實現個人化的產品推薦和行銷的自動化內容生成，而在金融領域，它可用於詐欺檢測和預測模型。這些應用程式提高了效率、降低了成本並推動了更大的參與度，推動企業採用生成式人工智慧作為其數位轉型舉措的核心組成部分。深度學習的進步、大規模語言模型以及自動化和個人化的推動共同推動了生成式人工智慧市場的成長，使得這些系統對於滿足現代商業需求具有不可估量的價值。

生成式人工智慧在哪些產業領域影響最大？

生成式人工智慧正在對各個行業領域產生巨大影響，包括媒體和娛樂、醫療保健、金融和電子商務，每個行業都受益於創造力、效率和資料洞察力的提升。在媒體和娛樂產業，生成式人工智慧被廣泛應用於自動化和增強內容創作，實現從電影製作中逼真的視覺效果到個人化的廣告內容等一切。在生成式人工智慧的支援下，工具可以根據需求創建高品質的圖像、動畫和影片內容，幫助工作室和負責人在更短的時間內創造更多內容。此外，娛樂平台中由人工智慧主導的個人化，例如串流媒體服務中的建議引擎，將透過分析觀眾偏好並提供客製化的內容提案來提高用戶參與度。

在醫療保健領域，生成式人工智慧在醫學影像、診斷和藥物發現中發揮關鍵作用。生成模型可以創建合成醫學影像，使研究人員無需實際患者資料即可建立訓練資料集，從而增強隱私和法規遵循。這些模型還有助於產生分子結構和模擬藥物交互作用，從而加速藥物發現過程並使研究人員能夠更有效地識別潛在的治療方法。在診斷領域，生成式 AI 可用於分析 MRI 和電腦斷層掃描等醫學影像，以偵測異常並協助放射科醫生，從而提高診斷準確性並縮短診斷時間。因此，在醫療保健領域採用生成性人工智慧將支援創新、法規遵循和改善病患治療效果。

在金融領域，生成式人工智慧用於檢測詐欺模式、產生財務預測以及創建用於模型訓練的合成資料。透過分析大型金融資料集中的模式，生成式 AI 模型可以偵測到表示詐欺活動的異常，從而實現即時詐欺防制。這些模型還透過產生資料驅動的財務預測來支援預測分析，幫助銀行和投資公司做出更明智的決策。生成式人工智慧創建合成資料集的能力對於金融機構的合規性特別有用，使他們能夠在不暴露敏感資訊的情況下在真實資料上開發和訓練模型。金融領域的生成式人工智慧將提高安全性、準確性和效率，使其成為風險管理和業務最佳化的寶貴工具。

在電子商務中，生成式人工智慧可以實現個人化的購物體驗、自動化產品描述並為行銷產生具有視覺吸引力的內容。電子商務平台使用生成式人工智慧根據客戶行為客製化產品推薦，從而增加購買可能性並提高用戶滿意度。人工智慧產生的產品描述和廣告可以節省時間並確保品牌的一致性。生成式人工智慧能夠產生相關的個人化內容並分析購買趨勢，有助於電子商務企業提高客戶體驗和轉換率。在這些領域，生成式人工智慧支援效率、增強個人化並推動創新，從而成為跨不同產業的變革性技術。

推動生成式人工智慧市場成長的關鍵因素有哪些？

生成式人工智慧市場的成長受到幾個關鍵因素的推動，包括對自動化的需求不斷增加、個人化數位體驗的興起以及人工智慧研究和運算能力的進步。隨著企業和行業尋求簡化內容創建、資料分析和客戶參與，對自動化的需求成為關鍵促進因素。透過自動執行內容產生、資料輸入和資料分析等重複性任務，生成式 AI 模型可以幫助企業節省時間、降低人事費用並提高生產力。這種自動化在媒體、行銷和客戶支援等領域尤其有價值，人工智慧可以大規模創建、個人化和最佳化內容，幫助企業更有效地滿足數位需求。

個人化數位體驗的興起也是一個關鍵促進因素，消費者越來越期待根據他們的興趣和偏好客製化的互動和內容。生成式人工智慧使企業能夠根據使用者行為和個人資料資料產生內容，從而提供高度個人化的建議、廣告和互動。在電子商務、串流媒體和數位行銷中，此功能透過提供相關的客製化體驗來提高客戶滿意度和參與度。隨著企業優先考慮客戶體驗以保持競爭力，生成式人工智慧個人化和預測消費者行為的能力正在推動廣泛採用，尤其是在依賴客戶參與的行業中。

人工智慧研究的進步，特別是大規模語言模型和高效能運算，使生成人工智慧更加強大、更易於存取、更有效率，進一步推動了市場的發展。深度學習和 Transformer 架構的創新使得模型能夠產生連貫、上下文感知的文字、逼真的圖像和詳細的預測，從而增強了生成式人工智慧的實際應用。此外，雲端處理和 GPU（圖形處理單元）使得訓練和部署大型模型變得更加容易，使得各種規模的企業都可以更輕鬆地使用生成式人工智慧。隨著運算能力的提升，生成式人工智慧模型變得更具成本效益且部署速度更快，使這些技術成為主流應用的可行解決方案。

這些促進因素——自動化、個人化體驗以及人工智慧和運算資源的進步——正在融合在一起，推動生成人工智慧市場的成長。隨著企業和產業擁抱數位轉型，生成性人工智慧將成為支援從業務效率到全球市場客戶參與等一切創新的基石。

部分

產品（軟體、服務）；應用程式（自然語言處理(NLP)、電腦視覺、機器人與自動化、內容生成、聊天機器人與智慧虛擬助理、預測分析、其他應用程式）；最終用戶（媒體與娛樂、BFSI 、IT 和電信、醫療保健、汽車和交通、遊戲和其他最終用戶）

受訪公司範例（共677家公司）

  • Adobe Inc.
  • Amazon Web Services, Inc.
  • DataRobot Inc.
  • De Identification, Inc.
  • Diabatix NV
  • Google LLC
  • IBM Corporation
  • Insilico Medicine
  • Media.io
  • Meta Platforms, Inc.
  • Microsoft Corporation
  • Mostly AI
  • nTopology Inc.
  • NVIDIA Corporation
  • Paige AI, Inc.
  • Persado, Inc.
  • PlayHT
  • Speechify Inc.
  • Synthesia Ltd.
  • Veesual AI

目錄

第1章調查方法

第 2 章執行摘要

  • 市場概況
  • 主要企業
  • 市場趨勢和促進因素
  • 全球市場展望

第3章 市場分析

  • 美國
  • 加拿大
  • 日本
  • 中國
  • 歐洲
  • 法國
  • 德國
  • 義大利
  • 英國
  • 其他歐洲國家
  • 亞太地區
  • 其他地區

第4章 競賽

簡介目錄
Product Code: MCP23218

Global Generative Artificial Intelligence (AI) Market to Reach US$138.3 Billion by 2030

The global market for Generative Artificial Intelligence (AI) estimated at US$15.2 Billion in the year 2023, is expected to reach US$138.3 Billion by 2030, growing at a CAGR of 37.1% over the analysis period 2023-2030. Media & Entertainment End-User, one of the segments analyzed in the report, is expected to record a 41.0% CAGR and reach US$39.3 Billion by the end of the analysis period. Growth in the IT & Telecom End-User segment is estimated at 31.6% CAGR over the analysis period.

The U.S. Market is Estimated at US$5.3 Billion While China is Forecast to Grow at 43.7% CAGR

The Generative Artificial Intelligence (AI) market in the U.S. is estimated at US$5.3 Billion in the year 2023. China, the world's second largest economy, is forecast to reach a projected market size of US$18.4 Billion by the year 2030 trailing a CAGR of 43.7% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 31.6% and 33.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 39.1% CAGR.

Global Generative Artificial Intelligence (AI) Market - Key Trends & Drivers Summarized

What Is Generative Artificial Intelligence (AI) and Why Is It Transformative for Modern Applications?

Generative Artificial Intelligence (AI) refers to a category of machine learning techniques that enable computers to create new content, including text, images, audio, video, and even code, by learning patterns from existing data. Generative AI models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models like GPT, have the ability to generate content that resembles human-made data, opening up applications across creative industries, data science, healthcare, finance, and more. By understanding and generating realistic content, generative AI is driving innovation and automation in various domains.

The transformative power of generative AI lies in its ability to perform complex creative and analytical tasks that previously required human expertise. In creative fields like digital media, generative AI enables automated image synthesis, video creation, and music composition, providing artists and marketers with new tools for content generation. For industries reliant on large datasets, such as healthcare and finance, generative AI offers predictive insights by generating synthetic data that can improve model accuracy, protect privacy, and enhance machine learning applications. Generative AI’s ability to synthesize and analyze large volumes of data quickly allows businesses to streamline processes, reduce costs, and improve decision-making, making it indispensable in data-driven sectors.

Additionally, generative AI supports rapid prototyping, personalization, and innovation, accelerating the development of new products, services, and digital experiences. In the manufacturing and design sectors, for example, generative AI aids in creating 3D models and design prototypes, allowing teams to explore design possibilities quickly. In retail and customer service, generative AI enhances personalization by creating tailored recommendations and conversational interfaces that improve user experience. The flexibility and potential of generative AI to adapt across multiple domains make it a revolutionary tool, positioning it as a catalyst for digital transformation across global industries.

How Are Technological Advancements and Industry Demands Shaping the Generative AI Market?

Technological advancements in deep learning, large language models, and computational power are transforming the generative AI market, making these systems more sophisticated, accessible, and capable of delivering high-quality outputs across industries. Breakthroughs in deep learning, particularly Transformer-based architectures, have led to the development of advanced models like GPT, BERT, and DALL-E, which can generate coherent text, realistic images, and even complex code. These models have extended generative AI capabilities, allowing for high-resolution image generation, human-like text generation, and intricate 3D object creation. As these models become more refined, they offer applications that range from content creation to scientific research, expanding the scope of generative AI.

Large language models (LLMs) are further shaping the market by enabling more natural interactions and complex content generation capabilities. These models are trained on vast datasets and can understand context, nuances, and specific user intents, enabling use cases such as customer support, personalized marketing, and conversational AI. LLMs are increasingly being used to power chatbots, virtual assistants, and recommendation engines that understand and respond to customer preferences, enhancing customer satisfaction and engagement. As organizations integrate these models into their operations, generative AI continues to become more user-focused and capable of delivering customized, relevant, and responsive outputs.

The demand for scalability, personalization, and automation is also influencing the generative AI market, as businesses seek innovative ways to automate repetitive tasks, enhance customer experience, and manage large datasets. Generative AI provides companies with tools for automating content creation, analyzing patterns in customer behavior, and generating synthetic data for training models. In e-commerce, generative AI enables personalized product recommendations and automated content generation for marketing, while in the financial sector, it is used for fraud detection and predictive modeling. These applications improve efficiency, reduce costs, and foster greater engagement, driving businesses to adopt generative AI as a core component of digital transformation initiatives. Together, advancements in deep learning, large language models, and the drive for automation and personalization are propelling the growth of the generative AI market, making these systems invaluable for modern business demands.

Where Is Generative AI Making the Greatest Impact Across Industry Segments?

Generative AI is making a significant impact across various industry segments, including media and entertainment, healthcare, finance, and e-commerce, each benefiting from enhanced creativity, efficiency, and data insights. In the media and entertainment industry, generative AI is widely used to automate and enhance content creation, enabling everything from realistic visual effects in film production to personalized advertising content. Tools powered by generative AI can create high-quality images, animations, and video content on-demand, enabling studios and marketers to generate more content in less time. AI-driven personalization in entertainment platforms, such as recommendation engines for streaming services, also enhances user engagement by analyzing viewer preferences and providing tailored content suggestions.

In healthcare, generative AI plays a crucial role in medical imaging, diagnostics, and drug discovery. Generative models can create synthetic medical images, enabling researchers to build training datasets without the need for real patient data, which enhances privacy and regulatory compliance. These models also assist in generating molecular structures and simulating drug interactions, accelerating the drug discovery process and enabling researchers to identify potential therapies more efficiently. In diagnostics, generative AI can be used to analyze medical images, such as MRI or CT scans, to detect anomalies and assist radiologists, improving diagnostic accuracy and reducing time to diagnosis. The adoption of generative AI in healthcare thus supports innovation, regulatory compliance, and improved patient outcomes.

In finance, generative AI is used to detect fraudulent patterns, generate financial forecasts, and create synthetic data for model training. By analyzing patterns in large financial datasets, generative AI models can detect anomalies that signal fraudulent activity, enabling real-time fraud prevention. These models also support predictive analytics by generating data-driven financial forecasts, which assist banks and investment firms in making informed decisions. Generative AI’s ability to create synthetic datasets is especially valuable for compliance in finance, allowing institutions to develop and train models on realistic data without exposing sensitive information. Generative AI in finance enhances security, accuracy, and efficiency, positioning it as a valuable tool for risk management and operational optimization.

In e-commerce, generative AI enables personalized shopping experiences, automates product descriptions, and generates visually appealing content for marketing. E-commerce platforms use generative AI to tailor product recommendations based on customer behavior, increasing the likelihood of purchases and enhancing user satisfaction. AI-generated product descriptions and advertisements save time and ensure consistent branding, while generative images and videos enable visually rich product displays that attract customers. Generative AI’s ability to generate relevant, personalized content and analyze purchasing trends helps e-commerce businesses improve customer experience and conversion rates. Across these segments, generative AI supports efficiency, enhances personalization, and drives innovation, establishing itself as a transformative technology in diverse industries.

What Are the Key Drivers Fueling Growth in the Generative AI Market?

The growth in the generative AI market is driven by several key factors, including increasing demand for automation, the rise of personalized digital experiences, and advancements in AI research and computational power. The demand for automation is a primary driver, as businesses and industries seek to streamline content creation, data analysis, and customer engagement. Generative AI models automate repetitive tasks—such as content generation, data entry, and data analysis—allowing businesses to save time, reduce labor costs, and enhance productivity. This automation is particularly valuable in fields like media, marketing, and customer support, where AI can create, personalize, and optimize content at scale, enabling businesses to keep up with digital demand efficiently.

The rise of personalized digital experiences is another significant driver, as consumers increasingly expect tailored interactions and content that align with their interests and preferences. Generative AI allows companies to deliver highly personalized recommendations, ads, and interactions by generating content based on user behavior and profile data. In e-commerce, streaming, and digital marketing, this capability enhances customer satisfaction and engagement by providing relevant, customized experiences. As businesses prioritize customer experience to retain competitiveness, generative AI’s ability to personalize and predict consumer behavior is driving widespread adoption, especially in industries that rely on customer engagement.

Advancements in AI research, specifically in large language models and high-performance computing, are further propelling the market by making generative AI more powerful, accessible, and efficient. Innovations in deep learning and Transformer architectures have led to models capable of generating coherent, contextually aware text, realistic images, and detailed predictions, enhancing the practical applications of generative AI. Additionally, cloud computing and GPUs (Graphics Processing Units) have made it easier to train and deploy large models, making generative AI more accessible to companies of all sizes. As computational power increases, generative AI models are becoming more cost-effective and faster to deploy, making these technologies viable solutions for mainstream applications.

Together, these drivers—demand for automation, personalized experiences, and advancements in AI and computational resources—are fueling growth in the generative AI market. As businesses and industries embrace digital transformation, generative AI is set to become a cornerstone of innovation, supporting everything from operational efficiency to customer engagement across global markets.

SCOPE OF STUDY:

The report analyzes the Generative Artificial Intelligence (AI) market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Offering (Software, Services); Application (Natural Language Processing (NLP), Computer Vision, Robotics & Automation, Content Generation, Chatbots & Intelligent Virtual Assistants, Predictive Analytics, Other Applications); End-User (Media & Entertainment, BFSI, IT & Telecom, Healthcare, Automotive & Transportation, Gaming, Other End-Users)

Geographic Regions/Countries:

World; USA; Canada; Japan; China; Europe; France; Germany; Italy; UK; Rest of Europe; Asia-Pacific; Rest of World.

Select Competitors (Total 677 Featured) -

  • Adobe Inc.
  • Amazon Web Services, Inc.
  • DataRobot Inc.
  • De Identification, Inc.
  • Diabatix NV
  • Google LLC
  • IBM Corporation
  • Insilico Medicine
  • Media.io
  • Meta Platforms, Inc.
  • Microsoft Corporation
  • Mostly AI
  • nTopology Inc.
  • NVIDIA Corporation
  • Paige AI, Inc.
  • Persado, Inc.
  • PlayHT
  • Speechify Inc.
  • Synthesia Ltd.
  • Veesual AI

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Generative AI Revolution Has Begun & Navigating the Emerging Landscape Should be the Top Priority for Businesses & Their Leaders
    • EXHIBIT 1: Generative (GAI) is Finally Out of the Bottle: % Share of Generative AI Data in Total Data Produced for Years 2023, 2026, 2028 and 2030
    • How Can Companies Use GAI in Combination With Applied AI to Optimize Business & Operational Outcomes?
    • These Startups Can Become Game Changers in the Generative AI (GAI) Space
    • This Time Around, the AI Narrative on Changing the World Will Be Different. Here's Why
    • EXHIBIT 2: Case for GAI Powered Productivity Becomes Water Tight: % Productivity Increases With GAI by Type of Work Tasks
    • Quantifying GAI Boost to Economic and Business Productivity & Growth
    • EXHIBIT 3: AI Impact on Global Economy is Mind-bending!: Annual Potential Contribution of AI Enabled Innovations to Global GDP (In US$ Trillion) by Category Under an Optimistic Scenario Assuming Successful Implementation Across All Potential Application Areas
    • EXHIBIT 4: In This New Frontier in Creativity & Innovation, Where Exactly Will The Value Gains Come From With GAI? % Share Break of GAI Value Addition to Global GDP by Area of Benefit by the Year 2030
    • Economic Frontiers: Trends, Trials & Transformations
    • EXHIBIT 5: In a World Torn by Geopolitical Instability & War, Steadfastness of Global GDP Becomes Increasingly Unpredictable Given the Many Direct and Indirect Economic Repercussions: World Economic Growth Projections (Real Gross Domestic Product (GDP), Annual % Change) for the Years 2022 Through 2025
    • EXHIBIT 6: All Eyes on Global Inflation, the Main Risk Factor in Global Markets: Global Headline Inflation Rates (In %) for the Years 2019 through 2025
    • EXHIBIT 7: With Oil Prices Influencing the Rate of inflation, it Remains the Most Watched Commodity in Global Markets: Global Average Annual Brent Crude Oil Price (In US$ Per Barrel) for Years 2019 through 2025
    • Generative AI (GAI) Overview of Models & Everything Else You Need to Know
    • Competition
    • EXHIBIT 8: Generative Artificial Intelligence (AI) - Global Key Competitors Percentage Market Share in 2024 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for 678 Players Worldwide in 2024 (E)
    • Influencer/Product/Technology Insights
    • Recent Market Activity
    • Innovations
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Generative AI Venture Capital Investment on an Upward Spiral, Following the Breakout Year in 2023
    • EXHIBIT 9: Investor Interest in GAI Soars High: Global Equity Funding (In US$ Billion) & Number of Deals in GAI Space for the Years 2019 Through 2024
    • What & Where is the Current Focus of GAI Initiatives & Why?
    • Digital Maturity & Need to Sharpen Competitive Edge Represent Driving Factors for Adoption and Absorption of Generative AI (GAI)
    • Companies With Mature Traditional AI Infrastructure Are Better Positioned to Deploy & Leverage GAI. Here's Why
    • EXHIBIT 10: A Large & Maturating AI Ecosystem Means the Time is Ripe for GAI to Work Its Magic: Global Market for Artificial Intelligence (AI) (In US$ Billion) for Years 2024, 2026, 2028, 2030 and 2032
    • Gen Z Executives More Likely to Adopt GAI Compared to Their Millennial and Gen X Counterparts
    • EXHIBIT 11: Gen Z Rides the Generative AI Wave: Global Gen Z Population (In Million) for Years 2024 through 2035
    • GAI Holds the Potential to Drive Productivity & Sales Gains in Retail & Consumer Packaged Goods (CPG)
    • EXHIBIT 12: The Trillion-Dollar Consumer Goods Industry Emerges as a New Playground for Generative AI Innovation: Global Consumer Packaged Goods Market (In US$ Billion) for Years 2024, 2026, 2028, 2030, and 2032
    • BFSI is Next in Line to Realize Significant Value from GAI
    • GAI Shapes the Future of the Automotive Industry
    • Leveraging Generative AI to Solve Healthcare's Toughest Problems
    • EXHIBIT 13: Enhancing Healthcare Services with Generative AI in a Rapidly Growing Market is the New Path Forward: Global Market for Healthcare Services (In US$ Trillion) for Years 2024, 2026, 2028, 2030 and 2032
    • GAI Spells Benefits Across the Entire Pharmaceutical Value Chain. Here's How
    • EXHIBIT 14: GAI Finally Brings Hope for Cutting the Staggering Cost of Drug Development Which has Been Rising for Decades: Average Cost of New Drug Development (In US$ Million) as of the Year 2024
    • Immense Potential Awaits GAI in Gaming
    • EXHIBIT 15: As Appetite for Immersive Games Grows, GAI Will Find Lucrative Opportunities in the Gaming Sector: Global Gaming Industry (In US$ Billion) for Years 2024, 2026, 2028, 2030 and 2032
    • Gen AI Reshapes the Landscape of Media and Entertainment
    • Generative AI Use in Predictive Analytics Gains Momentum. Here's the Story
    • EXHIBIT 16: Predictive Analytics' Expanding Role Sets the Stage for Game-Changing Generative AI Integration: Global Market for Predictive Analytics (In US$ Billion) for Years 2024, 2026, 2028, 2030 and 2032
    • With the Capability of Automating Cognitive Skills, GAI Impact on the Knowledge Worker, Is it Supportive or Substitutive Or a Combination of Both?
    • Reskilling & Upskilling Remains a Vital Need to Reduce GAI Impact on the Labor Market
    • AI Models Move From Generalization to Specialization, Promising to Revolutionize the Market Landscape
    • Generative AI for Edge Computing Makes an Impact
    • What Are the Potential Risks from GAI & How Can Companies Address Them
    • Cost Remains a Primary Obstacle in Building Generative AI Models
    • Generative AI Brings Out Environmental Risks. Here's What They Are & How They Can be Managed
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Generative Artificial Intelligence (AI) Market Analysis of Annual Revenues in US$ Million for Years 2023 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 3: World 7-Year Perspective for Generative Artificial Intelligence (AI) by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2024 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Software Offering by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 5: World 7-Year Perspective for Software Offering by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Services Offering by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 7: World 7-Year Perspective for Services Offering by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Media & Entertainment End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 9: World 7-Year Perspective for Media & Entertainment End-User by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for It & Telecom End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 11: World 7-Year Perspective for It & Telecom End-User by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Gaming End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 13: World 7-Year Perspective for Gaming End-User by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Bfsi End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 15: World 7-Year Perspective for Bfsi End-User by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Healthcare End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 17: World 7-Year Perspective for Healthcare End-User by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for AUtomotive & Transportation End-user by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 19: World 7-Year Perspective for AUtomotive & Transportation End-user by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Other End-Users by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 21: World 7-Year Perspective for Other End-Users by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 22: World Recent Past, Current & Future Analysis for Natural Language Processing (nlp) Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 23: World 7-Year Perspective for Natural Language Processing (nlp) Application by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 24: World Recent Past, Current & Future Analysis for Computer Vision Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 25: World 7-Year Perspective for Computer Vision Application by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Robotics & Automation Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 27: World 7-Year Perspective for Robotics & Automation Application by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Content Generation Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 29: World 7-Year Perspective for Content Generation Application by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 30: World Recent Past, Current & Future Analysis for Chatbots & Intelligent Virtual Assistants Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 31: World 7-Year Perspective for Chatbots & Intelligent Virtual Assistants Application by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 32: World Recent Past, Current & Future Analysis for Predictive Analytics Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 33: World 7-Year Perspective for Predictive Analytics Application by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030
    • TABLE 34: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 35: World 7-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2024 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • TABLE 36: USA Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 37: USA 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 38: USA Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 39: USA 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 40: USA Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 41: USA 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030
  • CANADA
    • TABLE 42: Canada Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 43: Canada 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 44: Canada Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 45: Canada 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 46: Canada Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 47: Canada 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030
  • JAPAN
    • TABLE 48: Japan Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 49: Japan 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 50: Japan Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 51: Japan 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 52: Japan Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 53: Japan 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030
  • CHINA
    • TABLE 54: China Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 55: China 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 56: China Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 57: China 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 58: China Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 59: China 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030
  • EUROPE
    • TABLE 60: Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2023 through 2030 and % CAGR
    • TABLE 61: Europe 7-Year Perspective for Generative Artificial Intelligence (AI) by Geographic Region - Percentage Breakdown of Value Revenues for France, Germany, Italy, UK and Rest of Europe Markets for Years 2024 & 2030
    • TABLE 62: Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 63: Europe 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 64: Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 65: Europe 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 66: Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 67: Europe 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030
  • FRANCE
    • TABLE 68: France Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 69: France 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 70: France Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 71: France 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 72: France Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 73: France 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030
  • GERMANY
    • TABLE 74: Germany Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 75: Germany 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 76: Germany Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 77: Germany 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 78: Germany Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 79: Germany 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030
  • ITALY
    • TABLE 80: Italy Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 81: Italy 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 82: Italy Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 83: Italy 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 84: Italy Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 85: Italy 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030
  • UNITED KINGDOM
    • TABLE 86: UK Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 87: UK 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 88: UK Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 89: UK 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 90: UK Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 91: UK 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030
  • REST OF EUROPE
    • TABLE 92: Rest of Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 93: Rest of Europe 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 94: Rest of Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 95: Rest of Europe 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 96: Rest of Europe Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 97: Rest of Europe 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030
  • ASIA-PACIFIC
    • TABLE 98: Asia-Pacific Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 99: Asia-Pacific 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 100: Asia-Pacific Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 101: Asia-Pacific 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 102: Asia-Pacific Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 103: Asia-Pacific 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030
  • REST OF WORLD
    • TABLE 104: Rest of World Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Offering - Software Offering and Services Offering - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 105: Rest of World 7-Year Perspective for Generative Artificial Intelligence (AI) by Offering - Percentage Breakdown of Value Revenues for Software Offering and Services Offering for the Years 2024 & 2030
    • TABLE 106: Rest of World Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by End-user - Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 107: Rest of World 7-Year Perspective for Generative Artificial Intelligence (AI) by End-user - Percentage Breakdown of Value Revenues for Media & Entertainment End-User, It & Telecom End-User, Gaming End-User, Bfsi End-User, Healthcare End-User, AUtomotive & Transportation End-user and Other End-Users for the Years 2024 & 2030
    • TABLE 108: Rest of World Recent Past, Current & Future Analysis for Generative Artificial Intelligence (AI) by Application - Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications - Independent Analysis of Annual Revenues in US$ Million for the Years 2023 through 2030 and % CAGR
    • TABLE 109: Rest of World 7-Year Perspective for Generative Artificial Intelligence (AI) by Application - Percentage Breakdown of Value Revenues for Natural Language Processing (nlp) Application, Computer Vision Application, Robotics & Automation Application, Content Generation Application, Chatbots & Intelligent Virtual Assistants Application, Predictive Analytics Application and Other Applications for the Years 2024 & 2030

IV. COMPETITION