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市場調査レポート
商品コード
1755456
AI画像ジェネレーター市場規模、シェア、成長分析、モデルタイプ別、展開モード別、用途別、エンドユーザー別、地域別、2025~2032年産業予測AI Image Generator Market Size, Share, and Growth Analysis, By Model Type (Generative Adversarial Networks, Variational Autoencoders ), By Deployment Mode, By Application, By End-User, By Region - Industry Forecast 2025-2032 |
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AI画像ジェネレーター市場規模、シェア、成長分析、モデルタイプ別、展開モード別、用途別、エンドユーザー別、地域別、2025~2032年産業予測 |
出版日: 2025年06月11日
発行: SkyQuest
ページ情報: 英文 198 Pages
納期: 3~5営業日
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AI画像ジェネレーターの世界市場規模は2023年に18億米ドルと評価され、2024年の23億8,000万米ドルから2032年には226億6,000万米ドルに成長し、予測期間(2025~2032年)のCAGRは32.5%で成長する展望です。
小売・eコマースセグメントでは、業務効率の向上と顧客体験の向上のためにAI技術の活用が進んでいます。AI画像ジェネレーターは、小売業者がカスタマイズ型商品画像を作成する方法に革命をもたらし、高品質と一貫性を確保しながら作成プロセスを合理化しています。このイノベーションは、コスト削減と時間短縮だけでなく、消費者の好みに合わせてビジュアルをパーソナライズし、エンゲージメントとコンバージョン率の向上を促進します。例えば、アッピーパイは2024年4月、テキストを印象的な画像に変換する斬新なAI画像ジェネレーターを発表しました。さらに、世界のeコマース市場の拡大により、シームレスなオンライン体験に対する需要が高まっており、創造性を高め、デジタルマーケティング戦略を最適化するAI画像ジェネレーターの活用がさらに促進されています。
Global AI Image Generator Market size was valued at USD 1.8 billion in 2023 and is poised to grow from USD 2.38 billion in 2024 to USD 22.66 billion by 2032, growing at a CAGR of 32.5% during the forecast period (2025-2032).
The retail and e-commerce sectors are increasingly leveraging AI technology to enhance operational efficiency and elevate customer experiences. AI image generators are revolutionizing the way retailers produce customized product images, streamlining the creation process while ensuring high quality and consistency. This innovation not only reduces costs and saves time but also personalizes visuals according to consumer preferences, driving higher engagement and conversion rates. Strategic initiatives are at the forefront as companies adapt to these advancements; for example, Appy Pie introduced a novel AI image generator in April 2024 that transforms text into striking images. Furthermore, the expanding global e-commerce market is intensifying demand for seamless online experiences, further promoting the utilization of AI image generators to boost creativity and optimize digital marketing strategies.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global AI Image Generator market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global AI Image Generator Market Segments Analysis
Global AI Image Generator Market is segmented by Model Type, Deployment Mode, Application, End-User and region. Based on Model Type, the market is segmented into Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models and Transformer-based Models. Based on Deployment Mode, the market is segmented into Cloud-based and On-premises. Based on Application, the market is segmented into Advertising & Marketing, Entertainment & Media, E-commerce & Retail, Gaming, Healthcare & Medical Imaging and Others. Based on End-User, the market is segmented into SMEs, Large Enterprises and Individual Creators. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global AI Image Generator Market
The Global AI Image Generator market is experiencing significant growth as businesses increasingly leverage captivating visual content across various digital platforms, including advertising, e-commerce, gaming, and news. This trend is fueled by the rapid creation and cost efficiency that AI image generators offer, enabling companies to produce high-quality, customizable images with ease. The reduced reliance on conventional design resources facilitates faster and more effective content creation, making these tools particularly appealing to small and medium-sized enterprises (SMEs) and individual creators. The demand for engaging visuals is driving the widespread adoption and integration of AI image generation technologies in various industries.
Restraints in the Global AI Image Generator Market
A significant challenge facing the global AI image generator market is the legal ambiguity surrounding image ownership and the use of copyrighted training data. Photographers and artists have raised alarms about AI systems being developed using unauthorized content. Additionally, there are growing regulatory concerns related to ethical issues, particularly around the creation of deepfake images and the potential spread of disinformation. This is especially pronounced in jurisdictions with stringent regulations, such as the European Union, where there are heightened fears about the implications of AI-generated images. These factors create obstacles that could hinder the growth and acceptance of AI image generation technologies.
Market Trends of the Global AI Image Generator Market
The Global AI Image Generator market is experiencing a significant trend towards integration with e-commerce platforms and marketing sites, exemplified by major players like Shopify, Adobe Creative Suite, and Canva, who are rapidly incorporating AI image creation capabilities. This integration empowers users to effortlessly generate digital assets such as ad visuals and product images while maintaining their existing workflows. By leveraging APIs, these platforms are streamlining the content creation process, drastically reducing time investment and boosting productivity. Additionally, this trend democratizes access to sophisticated AI tools, making them accessible to non-technologists and fostering innovation across various industries.