市場調查報告書
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人工智能文本生成器市場 - 2023-2028 年預測Artificial Intelligence (AI) Text Generator Market - Forecasts from 2023 to 2028 |
2021年人工智能文本生成器的市場規模將達到430,925,000美元。 AI文本生成器是一款人工智能應用工具,能夠創建文本段落和句子內容。 這些工具有助於生成從電子郵件中包含的正式文本到社交媒體和博客上發布的休閒內容的內容。 AI 文本生成器的 AI 技術集成可以輕鬆檢查和分析來自各種來源的現有內容,包括部落格、發文、搜索引擎、網頁、影像、文本到文本、語音到文本等非結構化數據。文本格式轉換為AI文本生成器使用的自然語言處理模型和深度學習算法的集成版本的效率使得AI文本生成器在媒體娛樂、教育、媒體電子、營銷和其他企業相關領域得到廣泛應用。 人工智能文本生成器的引入減少了公司在內容創建過程上花費的時間和資源,促進了市場的發展。 因此,考慮到推動其增長的各種因素,可以預見人工智能文本生成器市場在預測期內將會擴大。
全球有超過 2.07 億專業內容創作者。 內容創作者和影響者通過部落格、社交媒體發文和媒體流渠道的大規模發展正在創造對人工智能文本生成器的進一步需求。 AI 文本生成器可幫助內容創建者創建有效的文本內容,用作發文和部落格的標題,從而提高受眾對其內容和個人資料的參與度。 此外,大品牌和公司贊助內容創作者和影響者來營銷他們的產品。 例如,Adobe 研究顯示,歐洲品牌在創作者營銷策略方面的營銷支出將從 2016 年的 3.26 億歐元增長到 2020 年的 13 億歐元。 因此,創作者和影響者需要開發有效的促銷文本內容以覆蓋其目標受眾,從而增加了對人工智能文本生成器的需求。
由於各個行業的數位化,不同公司之間存在著激烈的競爭,以通過搜索引擎優化 (SEO) 等營銷和促銷策略來展示其市場影響力。 將 SEO 工具納入您的 AI 文本生成應用程序將提高公司網站上網絡流量的可見性和質量。 大多數基於人工智能的文本生成軟件,如Frase AI、WriterSonic、Scalenut、Article Forge等,都集成了搜索引擎優化功能,以確保內容在搜索引擎上的呈現,包括關鍵詞密度、搜索量等。我們為客戶提供詳細信息 因此,內容創作者經濟的增長和搜索引擎優化工具的整合正在推動人工智能文本生成器市場的需求。
AI文本生成器開發的文本和內容受到現有內容的啟發。 目前,人工智能驅動的文本生成器無法創建表達複雜情感和情感的原創且獨特的內容。 人工智能文本生成器的質量和性能無法提高到類似於人類寫作,或再現每個人提供的創造力和獨特的寫作風格。 因此,人工智能文本生成器可能僅限於主要通過吸引客戶情感來說服客戶的營銷人員和創作者。
強大的人工智能技術市場的存在和人工智能軟件的快速發展導致了基於數據的報告的生成、年度帳目的創建、產品和地點描述的生成以及針對不同市場的營銷內容整個北美地區人工智能文本生成器的鼓舞人心的應用程序,例如多語言的生產。 谷歌、IBM、微軟等老牌IT公司生產的人工智能文本生成軟件,以及Jasper、Quillbot、Hypotenuse AI、Copysmith等新的人工智能文本生成初創公司的出現,為人工智能的擴展提供了機會□□北美文本生成市場。例如,Jasper AI為IBM、Hubspot、Airbnb、HarperCollins等美國大公司提供AI文本生成軟件。 因此,在預測期內,北美在國際人工智能文本生成器市場中的市場份額預計將上升。
The AI text generator market was valued at US$430.925 million in 2021. AI text generator is an artificial intelligence application tool with the ability to create text paragraphs and written content. These tools assist in the generation of a variety of content ranging from formal text content to be included in emails to casual content to be posted on social media and blogs. The integration of AI technology in AI text generator facilitates the examination and analysis of existing content across a broad range of sources including blogs, posts, search engines, webpages, and unstructured data such as videos to create text conversions in text-to-text and speech-to-text formats. The efficiency of the integrated version of the natural language processing model with deep learning algorithms used in AI text generators is resulting in the extensive application of AI text generators across media and entertainment, education, media electronics, marketing, and other enterprise-related sectors. The deployment of AI text generators is lowering the amount of time and resources consumed by the company for content creation procedures, which is stimulating the market's development. Hence, it can be anticipated that the AI text generator market will expand over the course of the forecast period considering the various factors promoting its growth.
There are more than 207 million professional content creators across the world. The massive development of content creators and influencers through blogs, social media posts, and media streaming channels is creating more demand for AI text generators. AI text generators assist content creators to produce effective text content to be used as captions in their posts or blogs to increase the engagement of viewers with their content and profile. In addition, leading brands and companies sponsor content creators and influencers to market their products. For instance, a survey by Adobe Company revealed that the marketing expenditure of European brands through creator marketing strategies increased from €326 million in 2016 to €1.3 billion in 2020. Consequentially, the demand for AI text generators grows as a result of the requirement for creators and influencers to develop effective promotional textual content in order to reach their intended audience.
The digitalization of various industries is resulting in stiff competition between different companies to establish their market presence through marketing and promotional strategies such as SEO. The incorporation of SEO tools in AI text-generating applications enhances the visibility and quality of web traffic on a company's website. The majority of the AI-based text-generating software such as Frase AI, WriterSonic, Scalenut, and Article Forge is integrated with search engine optimization features to ensure the presence of the content on search engines and provides details about keyword density, search volume, and other information to the customers. Hence, the growing content creator economy and integration of SEO tools are propelling the demand for the AI text generator market.
The text and content developed by AI text generators are inspired by pre-existing content. At present, artificial intelligence-powered text generators are incapable of producing original, unique content that expresses complex emotions and sentiments. Despite the improvement in the quality and performance of AI text generators to resemble human writing, they cannot replicate the creativity and distinctive writing style offered by a respective individual. This could limit the expansion of AI text generators to marketing agencies and creators that primarily use emotional appeal to persuade their customers.
The presence of a strong AI technology market and the rapid advancements of AI software are stimulating the application of AI text generators to generate reports based on data, prepare annual accounts, generate product and location descriptions, and produce marketing content to target different market segments in multiple languages across North America. The AI text-generating software manufactured by established IT companies including Google, IBM, and Microsoft, and the emergence of new AI text generators startups such as Jasper, Quillbot, Hypotenuse AI, and Copysmith is providing opportunities for the expansion of the AI text generator market in North America. For instance, Jasper AI has provided its AI text-generating software to leading US companies such as IBM, Hubspot, Airbnb, and HarperCollins. Therefore, North America's market share in the international AI text generator market is expected to advance over the forecast period.