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生成人工知能（AI）の世界市場

Generative Artificial Intelligence (AI)

出版日
ページ情報
英文 1152 Pages
納期
即日から翌営業日
適宜更新あり
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.99円
生成人工知能（AI）の世界市場
出版日: 2025年01月31日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 1152 Pages
納期: 即日から翌営業日
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概要

生成人工知能（AI）の世界市場は2030年までに1,383億米ドルに到達

2023年に152億米ドルと推定される生成人工知能（AI）の世界市場は、分析期間2023-2030年に37.1%のCAGRで成長し、2030年には1,383億米ドルに達すると予測されます。本レポートで分析したセグメントの1つであるメディア＆エンターテインメントエンドユーザーは、CAGR 41.0％を記録し、分析期間終了時には393億米ドルに達すると予測されます。IT＆テレコムエンドユーザーセグメントの成長率は、分析期間でCAGR 31.6％と推定されます。

米国市場は53億米ドル、中国はCAGR 43.7％で成長すると予測

米国の生成人工知能（AI）市場は、2023年に53億米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに184億米ドルの市場規模に達すると予測され、分析期間2023-2030年のCAGRは43.7%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ31.6%と33.3%と予測されています。欧州では、ドイツがCAGR約39.1%で成長すると予測されています。

世界の生成人工知能（AI）市場- 主要動向と促進要因まとめ

生成人工知能（AI）とは何か、なぜ最新のアプリケーションに変革をもたらすのか？

生成人工知能（AI）とは、既存のデータからパターンを学習することで、コンピュータがテキスト、画像、音声、動画、さらにはコードなどの新しいコンテンツを作成できるようにする機械学習技術のカテゴリーを指します。Generative Adversarial Networks（GAN）、Variational Autoencoders（VAE）、GPTのようなTransformerベースのモデルなどのGenerative AIモデルは、人間が作成したデータに類似したコンテンツを生成する能力を持ち、クリエイティブ産業、データサイエンス、ヘルスケア、ファイナンスなどの分野での応用を広げています。現実的なコンテンツを理解し生成することで、ジェネレーティブAIは様々な領域でイノベーションと自動化を推進しています。

ジェネレーティブAIの変革力は、これまでは人間の専門知識が必要だった複雑な創造的・分析的タスクを実行する能力にあります。デジタルメディアのようなクリエイティブな分野では、ジェネレーティブAIが自動画像合成、動画作成、作曲を可能にし、アーティストやマーケティング担当者にコンテンツ生成のための新しいツールを提供しています。ヘルスケアや金融などの大規模なデータセットに依存する業界では、ジェネレーティブAIは、モデルの精度を向上させ、プライバシーを保護し、機械学習アプリケーションを強化することができる合成データを生成することにより、予測的洞察を提供します。大量のデータを迅速に合成・分析するジェネレーティブAIの能力により、企業はプロセスを合理化し、コストを削減し、意思決定を改善することができるため、データ駆動型の分野では不可欠な存在となっています。

さらに、ジェネレーティブAIは迅速なプロトタイピング、パーソナライゼーション、イノベーションをサポートし、新製品、サービス、デジタル体験の開発を加速します。例えば製造やデザインの分野では、ジェネレーティブAIが3Dモデルやデザイン・プロトタイプの作成を支援し、チームがデザインの可能性を迅速に探ることを可能にします。小売業やカスタマーサービスでは、ジェネレーティブAIは、ユーザー体験を向上させるテーラーメイドのレコメンデーションや会話型インターフェースを作成することで、パーソナライゼーションを強化します。ジェネレーティブAIは、複数の領域に適応できる柔軟性と可能性を備えているため、革命的なツールであり、世界な業界全体におけるデジタルトランスフォーメーションの触媒として位置づけられています。

技術の進歩と業界の需要は、ジェネレーティブAI市場をどのように形成しているか？

ディープラーニング、大規模言語モデル、計算能力における技術的進歩は、ジェネレーティブAI市場を変革し、これらのシステムをより洗練され、アクセスしやすくし、業界全体で高品質のアウトプットを提供できるようにしています。ディープラーニング、特にTransformerベースのアーキテクチャにおけるブレークスルーは、GPT、BERT、DALL-Eのような先進的なモデルの開発につながり、首尾一貫したテキスト、リアルな画像、さらには複雑なコードを生成することができます。これらのモデルは、生成AIの能力を拡張し、高解像度の画像生成、人間のようなテキスト生成、複雑な3Dオブジェクトの生成を可能にしました。これらのモデルがより洗練されるにつれて、コンテンツ作成から科学研究まで幅広いアプリケーションを提供し、ジェネレーティブAIの範囲を広げています。

大規模言語モデル（LLM）は、より自然な対話や複雑なコンテンツ生成機能を可能にすることで、市場をさらに形成しています。これらのモデルは膨大なデータセットで学習され、文脈、ニュアンス、特定のユーザーの意図を理解することができるため、カスタマーサポート、パーソナライズされたマーケティング、会話AIなどの使用事例を可能にします。LLMは、チャットボット、バーチャルアシスタント、顧客の嗜好を理解し対応するレコメンデーションエンジンを強化し、顧客満足度とエンゲージメントを高めるためにますます使用されるようになっています。組織がこれらのモデルを業務に統合するにつれて、ジェネレーティブAIはよりユーザーにフォーカスし、カスタマイズされた、適切で応答性の高いアウトプットを提供できるようになり続けています。

反復的なタスクの自動化、顧客体験の向上、大規模なデータセットの管理といった革新的な方法を企業が求める中、拡張性、パーソナライゼーション、自動化の需要もジェネレーティブAI市場に影響を与えています。ジェネレーティブAIは、コンテンツ作成の自動化、顧客行動のパターン分析、モデルのトレーニング用の合成データ生成のためのツールを企業に提供します。eコマースでは、ジェネレーティブAIはパーソナライズされた商品の推奨やマーケティング用の自動コンテンツ生成を可能にし、金融分野では不正検知や予測モデリングに利用されています。これらのアプリケーションは、効率を改善し、コストを削減し、より大きなエンゲージメントを促進し、企業がデジタルトランスフォーメーションイニシアチブのコアコンポーネントとしてジェネレーティブAIを採用する原動力となっています。ディープラーニング、大規模な言語モデルの進歩、自動化とパーソナライゼーションの推進が相まって、ジェネレーティブAI市場の成長を後押ししており、これらのシステムは現代のビジネス需要にとって貴重なものとなっています。

ジェネレーティブAIは産業セグメント全体でどこに最も大きな影響を与えているか？

ジェネレーティブAIは、メディア・エンターテインメント、ヘルスケア、金融、eコマースなど、さまざまな業界セグメントで大きなインパクトを与えており、それぞれが創造性、効率性、データ洞察力の強化から恩恵を受けています。メディア・エンターテインメント業界では、ジェネレーティブAIはコンテンツ制作の自動化と強化に広く利用されており、映画制作におけるリアルな視覚効果からパーソナライズされた広告コンテンツまで、あらゆるものを可能にしています。ジェネレーティブAIを搭載したツールは、高品質の画像、アニメーション、動画コンテンツをオンデマンドで作成できるため、スタジオやマーケティング担当者はより多くのコンテンツを短時間で作成できます。また、ストリーミング・サービスのレコメンデーション・エンジンなど、エンターテインメント・プラットフォームにおけるAI主導のパーソナライゼーションは、視聴者の好みを分析し、オーダーメイドのコンテンツ提案を提供することで、ユーザー・エンゲージメントを高める。

ヘルスケアでは、ジェネレーティブAIが医療画像、診断、創薬において重要な役割を果たしています。ジェネレーティブ・モデルは合成医療画像を作成することができるため、研究者は実際の患者データを必要とせずにトレーニング・データセットを構築することができ、プライバシーと規制遵守を強化することができます。これらのモデルはまた、分子構造の生成や薬物相互作用のシミュレーションを支援し、創薬プロセスを加速させ、研究者が潜在的な治療法をより効率的に特定することを可能にします。診断学では、ジェネレーティブAIを使用してMRIやCTスキャンなどの医療画像を解析し、異常を検出して放射線科医を支援することで、診断精度を向上させ、診断までの時間を短縮することができます。このように、ヘルスケアにおけるジェネレーティブAIの採用は、イノベーション、規制遵守、患者転帰の改善をサポートします。

金融分野では、不正パターンの検出、金融予測の生成、モデルトレーニング用の合成データの作成にジェネレーティブAIが使用されています。大規模な金融データセットのパターンを分析することで、ジェネレーティブAIモデルは不正行為のシグナルとなる異常を検出し、リアルタイムの不正防止を可能にします。これらのモデルはまた、データ駆動型の金融予測を生成することで予測分析をサポートし、銀行や投資会社が十分な情報に基づいた意思決定を行えるよう支援します。合成データセットを作成するジェネレーティブAIの能力は、金融機関におけるコンプライアンスにおいて特に有用であり、金融機関は機密情報を公開することなく、現実的なデータでモデルを開発・訓練することができます。金融におけるジェネレーティブAIは、安全性、正確性、効率性を高め、リスク管理と業務最適化のための貴重なツールとして位置付けられます。

eコマースでは、ジェネレーティブAIがパーソナライズされたショッピング体験を可能にし、商品説明を自動化し、マーケティング用の視覚的に魅力的なコンテンツを生成します。eコマース・プラットフォームは、ジェネレーティブAIを使用して、顧客の行動に基づいて推奨商品を調整し、購入の可能性を高め、ユーザーの満足度を向上させる。AIによって生成された商品説明や広告は時間を節約し、一貫したブランディングを保証します。関連性の高いパーソナライズされたコンテンツを生成し、購買動向を分析するジェネレーティブAIの能力は、eコマース・ビジネスが顧客体験とコンバージョン率を向上させるのに役立ちます。これらのセグメントにおいて、ジェネレーティブAIは効率化をサポートし、パーソナライゼーションを強化し、イノベーションを促進し、多様な業界において変革的なテクノロジーとしての地位を確立しています。

ジェネレーティブAI市場の成長を促進する主な要因は？

ジェネレーティブAI市場の成長は、自動化需要の増加、パーソナライズされたデジタル体験の台頭、AI研究と計算能力の進歩など、いくつかの重要な要因によってもたらされます。企業や業界がコンテンツ作成、データ分析、顧客エンゲージメントの合理化を求める中、自動化への需要が主要な推進力となっています。ジェネレーティブAIモデルは、コンテンツ生成、データ入力、データ分析などの反復作業を自動化することで、企業は時間を節約し、人件費を削減し、生産性を高めることができます。この自動化は、メディア、マーケティング、カスタマーサポートのような分野で特に価値が高く、AIはコンテンツを大規模に作成、パーソナライズ、最適化できるため、企業はデジタル需要に効率的に対応することができます。

パーソナライズされたデジタル体験の台頭も重要な推進力であり、消費者は自分の興味や嗜好に沿った、カスタマイズされたインタラクションやコンテンツをますます期待するようになっています。ジェネレーティブAIにより、企業はユーザーの行動やプロファイルデータに基づいてコンテンツを生成することで、高度にパーソナライズされたレコメンデーション、広告、インタラクションを提供できます。eコマース、ストリーミング、デジタル・マーケティングにおいて、この機能は、適切でカスタマイズされた体験を提供することにより、顧客満足度とエンゲージメントを高める。企業が競争力を維持するためにカスタマー・エクスペリエンスを優先する中、消費者の行動をパーソナライズし予測するジェネレーティブAIの能力は、特にカスタマー・エンゲージメントに依存する業界において、広範な採用を促進しています。

AI研究、特に大規模言語モデルと高性能コンピューティングにおける進歩は、ジェネレーティブAIをより強力で、アクセスしやすく、効率的にすることで、市場をさらに促進しています。ディープラーニングとTransformerアーキテクチャの革新により、首尾一貫した文脈を認識したテキスト、リアルな画像、詳細な予測を生成できるモデルが登場し、ジェネレーティブAIの実用的な応用が強化されています。さらに、クラウド・コンピューティングとGPU（グラフィック・プロセッシング・ユニット）により、大規模なモデルの学習と導入が容易になり、あらゆる規模の企業にとってジェネレーティブAIがより身近なものとなっています。計算能力が向上するにつれて、ジェネレーティブAIのモデルはより費用対効果が高く、より迅速に導入できるようになり、これらの技術は主流のアプリケーションにとって実行可能なソリューションとなっています。

自動化、パーソナライズされたエクスペリエンス、AIと計算リソースの進歩といったこれらの促進要因が相まって、ジェネレーティブAI市場の成長を後押ししています。企業や業界がデジタルトランスフォーメーションを取り入れる中、ジェネレーティブAIは、世界市場において、業務効率から顧客エンゲージメントまで、あらゆるものをサポートするイノベーションの礎となります。

セグメント

オファリング（ソフトウェア、サービス）;アプリケーション（自然言語処理（NLP）、コンピュータビジョン、ロボティクス＆オートメーション、コンテンツ生成、チャットボット＆インテリジェント・バーチャルアシスタント、予測分析、その他アプリケーション）;エンドユーザー（メディア＆エンターテインメント、BFSI、IT＆テレコム、ヘルスケア、自動車＆運輸、ゲーム、その他エンドユーザー）

調査対象企業の例（計677社注目の企業）

  • 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

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
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