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市场调查报告书
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全球生成人工智慧 (AI) 市场

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个工作天内

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简介目录

到 2030 年，全球生成人工智慧 (AI) 市场规模将达到 1,383 亿美元

2023 年全球生成人工智慧 (AI) 市场规模估计为 152 亿美元，预计到 2030 年将达到 1,383 亿美元，2023-2030 年分析期内的复合年增长率为 37.1%。媒体和娱乐终端用户是报告中分析的细分市场之一，预计到分析期结束时复合年增长率将达到 41.0%，达到 393 亿美元。在分析期间内，IT 和电信终端用户领域的复合年增长率预计为 31.6%。

美国市场预计将达到 53 亿美元，中国市场复合年增长率将达到 43.7%

预计 2023 年美国人工智慧 (AI) 市场价值将达到 53 亿美元。中国是世界第二大经济体，预计到 2030 年市场规模将达到 184 亿美元，2023-2030 年分析期间的复合年增长率为 43.7%。其他值得注意的区域市场包括日本和加拿大，预计在分析期间的复合年增长率分别为 31.6% 和 33.3%。在欧洲，预计德国的复合年增长率约为 39.1%。

全球人工智慧 (AI) 市场 - 主要趋势和驱动因素摘要

什么是产生人工智慧（AI）？

生成式人工智慧 (AI) 是指一类机器学习技术，它使电脑能够透过从现有资料中学习模式来创建新内容，例如文字、图像、音讯、影片甚至程式码。生成式人工智慧模型，例如生成对抗网路 (GAN)、变分自编码器 (VAE) 和基于 Transformer 的模型（如 GPT），能够生成与人类创建的资料类似的内容，并且在创新产业、资料科学。透过理解和产生真实的内容，生成性人工智慧正在推动广泛领域的创新和自动化。

生成式人工智慧的变革力量在于它能够执行以前需要人类专业知识才能完成的复杂创造性和分析性任务。在数位媒体等创新领域，生成性人工智慧可以实现自动图像合成、影片创作和音乐创作，为艺术家和负责人提供内容生成的新工具。在依赖大型资料集的行业（例如医疗保健和金融）中，生成式 AI 可以透过产生合成资料来帮助企业提高模型准确性、保护隐私并为机器学习应用程式提供动力，并提供预测性见解。生成式人工智慧能够快速合成和分析大量资料，这使企业能够简化流程、降低成本并改善决策，这在资料驱动的世界中至关重要。

此外，生成式人工智慧支援快速原型製作、个人化和创新，以加速新产品、服务和数位体验的开发。例如，在製造和设计领域，生成式人工智慧可以帮助创建 3D 模型和设计原型，让团队快速探索设计的可能性。在零售和客户服务领域，生成式人工智慧将透过创建客製化建议和对话介面来改善用户体验，从而增强个人化。鑑于其灵活性和在多个领域的应用潜力，生成式人工智慧被定位为一种革命性的工具和全球各行业数位转型的催化剂。

技术进步和产业需求如何形塑生成式人工智慧市场？

深度学习、大规模语言模型和运算能力的技术进步正在改变生成式人工智慧市场，使这些系统更加复杂、更易于访问，并能够为各个行业提供高品质的输出。深度学习的突破，尤其是基于 Transformer 的架构，已经推动了 GPT、BERT 和 DALL-E 等先进模型的发展，这些模型能够产生连贯的文字、逼真的图像，甚至复杂的程式码。这些模型扩展了生成式人工智慧的能力，实现了高解析度图像生成、类人文字生成以及复杂 3D 物件的创建。随着这些模型变得越来越复杂，它们正在扩大生成式人工智慧的范围，提供从内容创作到科学研究的广泛应用。

大规模语言模型 (LLM) 透过实现更自然的对话和复杂的内容生成功能进一步塑造市场。这些模型在海量资料集上进行训练，能够理解背景、细微差别和特定使用者意图，从而实现客户支援、个人化行销和对话式人工智慧等使用案例。 LLM 越来越多地被用于支援聊天机器人、虚拟助理和建议引擎，以理解和回应客户偏好，从而提高客户满意度和参与度。随着组织将这些模型融入业务中，生成式人工智慧将继续变得更加以用户为中心，提供客製化、相关且响应迅速的输出。

随着企业寻求创新方法来自动化重复性任务、改善客户体验和管理大型资料集，对扩充性、个人化和自动化的需求也影响着生成性人工智慧市场。生成式人工智慧为企业提供了自动化内容创建、分析客户行为模式以及产生合成资料来训练模型的工具。在电子商务领域，生成式人工智慧可以实现个人化的产品推荐和行销的自动化内容生成，而在金融领域，它可用于诈欺检测和预测模型。这些应用程式提高了效率、降低了成本并推动了更大的参与度，推动企业采用生成式人工智慧作为其数位转型倡议的核心组成部分。深度学习的进步、大规模语言模型以及自动化和个人化的推动共同推动了生成式人工智慧市场的成长，使得这些系统对于满足现代商业需求具有不可估量的价值。

生成式人工智慧在哪些产业领域影响最大？

生成式人工智慧正在对各个行业领域产生巨大影响，包括媒体和娱乐、医疗保健、金融和电子商务，每个行业都受益于创造力、效率和资料洞察力的提升。在媒体和娱乐产业，生成式人工智慧被广泛应用于自动化和增强内容创作，实现从电影製作中逼真的视觉效果到个人化的广告内容等一切。在生成式人工智慧的支援下，工具可以根据需求创建高品质的图像、动画和影片内容，帮助工作室和负责人在更短的时间内创造更多内容。此外，娱乐平台中由人工智慧主导的个人化，例如串流媒体服务中的建议引擎，将透过分析观众偏好并提供客製化的内容提案来提高用户参与度。

在医疗保健领域，生成式人工智慧在医学影像、诊断和药物发现中发挥关键作用。生成模型可以创建合成医学影像，使研究人员无需实际患者资料即可建立训练资料集，从而增强隐私和法规遵循。这些模型还有助于产生分子结构和模拟药物交互作用，从而加速药物发现过程并使研究人员能够更有效地识别潜在的治疗方法。在诊断领域，生成式 AI 可用于分析 MRI 和电脑断层扫描等医学影像，以侦测异常并协助放射科医生，从而提高诊断准确性并缩短诊断时间。因此，在医疗保健领域采用生成性人工智慧将支援创新、法规遵循和改善病患治疗效果。

在金融领域，生成式人工智慧用于检测诈欺模式、产生财务预测以及创建用于模型训练的合成资料。透过分析大型金融资料集中的模式，生成式 AI 模型可以侦测到表示诈欺活动的异常，从而实现即时诈欺防制。这些模型还透过产生资料驱动的财务预测来支援预测分析，帮助银行和投资公司做出更明智的决策。生成式人工智慧创建合成资料集的能力对于金融机构的合规性特别有用，使他们能够在不暴露敏感资讯的情况下在真实资料上开发和训练模型。金融领域的生成式人工智慧将提高安全性、准确性和效率，使其成为风险管理和业务优化的宝贵工具。

在电子商务中，生成式人工智慧可以实现个人化的购物体验、自动化产品描述并为行销产生具有视觉吸引力的内容。电子商务平台使用生成式人工智慧根据客户行为客製化产品推荐，从而增加购买可能性并提高用户满意度。人工智慧产生的产品描述和广告可以节省时间并确保品牌的一致性。生成式人工智慧能够产生相关的个人化内容并分析购买趋势，有助于电子商务企业提高客户体验和转换率。在这些领域，生成式人工智慧支援效率、增强个人化并推动创新，从而成为跨不同产业的变革性技术。

推动生成式人工智慧市场成长的关键因素有哪些？

生成式人工智慧市场的成长受到几个关键因素的推动，包括对自动化的需求不断增加、个人化数位体验的兴起以及人工智慧研究和运算能力的进步。随着企业和行业寻求简化内容创建、资料分析和客户参与，对自动化的需求成为关键驱动因素。透过自动执行内容产生、资料输入和资料分析等重复性任务，生成式 AI 模型可以帮助企业节省时间、降低人事费用并提高生产力。这种自动化在媒体、行销和客户支援等领域尤其有价值，人工智慧可以大规模创建、个人化和优化内容，帮助企业更有效地满足数位需求。

个人化数位体验的兴起也是一个关键驱动因素，消费者越来越期待根据他们的兴趣和偏好定制的互动和内容。生成式人工智慧使企业能够根据使用者行为和个人资料资料产生内容，从而提供高度个人化的建议、广告和互动。在电子商务、串流媒体和数位行销中，此功能透过提供相关的客製化体验来提高客户满意度和参与度。随着企业优先考虑客户体验以保持竞争力，生成式人工智慧个人化和预测消费者行为的能力正在推动广泛采用，尤其是在依赖客户参与的行业中。

人工智慧研究的进步，特别是大规模语言模型和高效能运算，使生成人工智慧更加强大、更易于存取、更有效率，进一步推动了市场的发展。深度学习和 Transformer 架构的创新使得模型能够产生连贯、上下文感知的文字、逼真的图像和详细的预测，从而增强了生成式人工智慧的实际应用。此外，云端处理和 GPU（图形处理单元）使得训练和部署大型模型变得更加容易，使得各种规模的企业都可以更轻鬆地使用生成式人工智慧。随着运算能力的提升，生成式人工智慧模型变得更具成本效益且部署速度更快，使这些技术成为主流应用的可行解决方案。

这些驱动因素——自动化、个人化体验以及人工智慧和运算资源的进步——正在融合在一起，推动生成人工智慧市场的成长。随着企业和产业拥抱数位转型，生成性人工智慧将成为支援从业务效率到全球市场客户参与等一切创新的基石。

部分

产品（软体、服务）；应用程式（自然语言处理(NLP)、电脑视觉、机器人与自动化、内容生成、聊天机器人与智慧虚拟助理、预测分析、其他应用程式）；最终用户（媒体与娱乐、BFSI 、IT 和电信、医疗保健、汽车和交通、游戏和其他最终用户）

受访公司范例（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

目录

第一章调查方法

第 2 章执行摘要

  • 市场概况
  • 主要企业
  • 市场趋势和驱动因素
  • 全球市场展望

第三章 市场分析

  • 美国
  • 加拿大
  • 日本
  • 中国
  • 欧洲
  • 法国
  • 德国
  • 义大利
  • 英国
  • 其他欧洲国家
  • 亚太地区
  • 其他地区

第四章 竞赛

简介目录
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