影像製作人工智能 (AI) 市場 - 預測 2023-2028

影像製作的人工智能市場預計將從 2021 年 3.625 億美元的市場規模以復合年增長率 22.37% 增長，到 2028 年達到 1,489,486,000 美元。 人工智能電影製作是將人工智能技術軟件融入到電影製作過程中，包括劇本創作、配音、動畫和其他形式的電影剪輯。 將人工智能融入動畫和動態圖形製作中，可以在受現實生活動作和情況啟發的動畫中獲得更大的真實感和細節。 此外，人工智能通過自動化重複任務來加快電影製作的工作速度。 深度神經計算機網路和人工智能軟件的融合使機器學習模型能夠處理自然語言並從文本字符串生成影像內容。 通過在影像製作中使用人工智能，可以為客戶提供逼真的影像體驗，同時減少影像製作各個流程所消耗的時間和精力。 因此，影像製作市場的人工智能預計在預測期內將顯著增長。

市場促進因素

越來越多地採用影像內容作為營銷策略

隨著影像越來越多地成為世界各地廣告公司和品牌執行營銷策略的主要媒介之一，需要增強為營銷目的而生成的影像。對配備人工智能的影像工具的需求是增加。 由於客戶消費的增加，社交媒體廣告在過去五年中變得越來越重要。 Sprout Social Company 的一份報告顯示，約 93% 的企業通過社交媒體影像廣告獲取新客戶並擴大客戶群。 我們還發現，大約 66% 的客戶更喜歡社交媒體上的短影像內容。 YouTube、Spotify、Instagram、Facebook 和 LinkedIn 等最常用在線平台上影像廣告的興起就證明了這一點。 影像內容作為主要營銷工具的使用越來越多，鼓勵在影像製作應用中使用人工智能技術來接觸目標受眾並提高廣告內容的說服力。

影像內容和影像流服務的消費增加

由於技術的快速進步，影像分發服務和應用程序的數量在過去幾年中不斷增加，導致客戶在各種社交和影像平台上對影像內容的消費量更大。據 InVideo 公司稱，到 2022 年，一個人觀看在線影像的平均時間預計將達到 100 分鐘。 新OTT媒體流媒體網站的出現以及現有OTT平台影像內容業務的擴展有可能對人工智能驅動的影像生成應用產生高需求。 據亞馬遜稱，訂閱Amazon Prime Video的客戶數量已從2019年的約1.5億增加到2022年的2億。 這表明當前影像和媒體流平台消費的增加，導致對製作更多影像和電影的需求更大，並且將出現對人工智能驅動工具來推動影像製作業務的需求。 因此，流媒體平台上影像內容消費的增加以及使用影像作為營銷策略是推動人工智能在影像製作市場中進步的主要因素。

人工智能生成的影像內容必須受到適當的監督，以避免生成令人反感和不道德的內容，從而破壞人工智能工具在影像製作領域的快速採用。

需要定期監管使用人工智能生成和編輯的影像，以確保使用各種人工智能工具和軟件時它們不會在文化或道德上不合適。 在某些情況下，人工智能生成的影像旨在吸引屬於某些種族背景或地理群體的客戶。 因此，在這種情況下，人工監督非常重要，以確保影像具有正確的文化和道德背景，以避免圍繞影像產生復雜的爭議。 人工智能在電影製作過程中的應用仍處於起步階段，必須在適當的監督和指導下使用，以免阻礙人工智能在電影製作市場的發展。

北美在影像製作人工智能市場中佔有很大份額，預計在預測期內將大幅增長。

在北美，由於人工智能技術的快速進步以及高質量社交媒體內容和其他影像流平台消費的增加，IT/技術和媒體/娛樂行業同時增長。 此外，在美國，Pictory、Elai.io、InVideo AI、Synths Video、Wsecut等基於人工智能的影像生成軟件的領先公司十分盛行，為北美生成更多基於人工智能的影像內容提供了機會。此外，亞馬遜網路服務、谷歌、IBM 和微軟等推動人工智能市場創新的頂級 IT 和軟件公司正在投資為許多應用程序（包括影像生成）生產更高質量的人工智能解決方案。我在這裡。 例如，谷歌子公司Youtube新任CEO宣布推出AI輔助影像工具，幫助內容創作者提升影像環境、質量和內容。 因此，由於可用的人工智能影像生成服務以及加大技術創新和投資以產生更好的人工智能工具，未來幾年北美影像製作人工智能市場規模預計將增長。

內容

第 1 章簡介

• 市場概覽
• 市場定義
• 調查範圍
• 市場細分
• 貨幣
• 先決條件
• 基準年和預測年時間表

第 2 章研究方法

• 調查數據
• 調查設計

第 3 章執行摘要

• 調查要點

第 4 章市場動態

• 市場促進因素
• 市場抑制因素
• 波特五力分析
• 行業價值鏈分析

第 5 章電影製作的人工智能 (AI) 市場：按流程劃分

• 簡介
• 腳本編寫
• 動畫
• 影像編輯
• 畫外音

第 6 章影像製作人工智能 (AI) 市場：按地區劃分

• 簡介
• 北美
  • 美國
  • 加拿大
  • 墨西哥
• 南美洲
  • 巴西
  • 阿根廷
  • 其他
• 歐洲
  • 英國
  • 德國
  • 法國
  • 意大利
  • 西班牙
  • 其他
• 中東和非洲
  • 沙特阿拉伯
  • 阿拉伯聯合酋長國
  • 其他
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳大利亞
  • 新加坡
  • 印度尼西亞
  • 其他

第 7 章競爭格局與分析

• 主要公司及戰略分析
• 新興公司和市場盈利能力
• 合併、收購、協議與合作
• 供應商競爭力矩陣

第 8 章公司簡介

• AI Screenwriter
• ToolBaz
• Steve AI
• Elai.io
• GliaStar
• Adobe
• Runway AI
• Synthesia
• FlexChip（PearlMountain）
• Pictory.ai

AI for video production market is expected to grow at a CAGR of 22.37% from a market size of US$362.500 million in 2021 to reach US$1,489.486 million by 2028. AI for video production is the integration of artificial technology software in the processes of generating video including scriptwriting, voice-over, animation, and other video editing processes. The incorporation of AI in animation and motion graphics production assists in improving the minute realistic details of an animation inspired by real-life actions and situations. In addition to this, AI helps in automating repetitive tasks which speeds up the operations involved in video production processes. The assimilation of deep neural computer networks and artificial intelligence software can process natural languages using machine learning models to generate video content from text strings. Employing AI in video production helps customers achieve a realistic video experience while reducing the time and labor consumed by companies for different processes involved in video creation. Hence, it can be anticipated that the AI for video production market will significantly grow over the forecast period.

Market Drivers

Growing adoption of video content as a marketing strategy

The increasing adoption of video as one of the primary mediums to execute the marketing strategies used by advertising agencies and brands across the world is resulting in the need for AI-powered video tools to enrich the videos generated for marketing purposes. Social media advertising has gained importance over the last five years owing to its increased consumption among customers. According to a report published by Sprout Social Company, approximately 93% of companies have expanded their customer base by gaining new customers through social media video advertisements. In addition to this, it was established that approximately 66% of customers prefer to engage with short-video content on social media. This is evident in the increase in video advertisements across the most used online platforms such as Youtube, Spotify, Instagram, Facebook, and LinkedIn. The use of video content as a major marketing tool encourages the use of AI technology in video-producing applications to reach their target customers and improve the persuasive effect of their ad content.

Rising consumption of video content and video streaming services

Due to rapid technological advancements, the number of video streaming services and applications has increased over the span of the last few years which has further resulted in the increased consumption of video content by customers across various social and video platforms. According to InVideo Company, the average time spent by a person viewing online videos was estimated to be 100 minutes in 2022. The emergence of new OTT media streaming sites and the expansion of the video content operations of the existing OTT platforms have the potential to generate higher demand for AI-powered video-generating applications. According to Amazon, the number of customers subscribing to Amazon Prime Video increased to 200 million people in 2022 from approximately 150 million users in 2019. This demonstrates the current increase in consumption of video and media streaming platforms which results in the need for more video and film generation further generating the demand for AI-powered tools to boost video production undertakings. Therefore, the increased consumption of video content on media streaming platforms and the use of videos as a marketing strategy are key factors propelling the advancement of AI for the video production market.

The video content created by AI must be properly supervised to avoid the generation of offensive and unethical content which could weaken the rapid adoption of AI tools in the video production field.

The videos generated and edited using AI must be regulated regularly to ensure that the video generated using various AI tools and software is not culturally or ethically inappropriate. In certain circumstances, an AI-generated video is intended to capture the attention of customers belonging to a particular ethnic background or a regional group. Therefore, in such cases, human supervision is important to ensure that the video has the right cultural and ethical context to avoid complications and controversies surrounding the video. Since the AI used in video production processes is in its beginning phase, it must be exercised with proper supervision and guidance to prevent causing hindrances to the growth of AI in the video production market.

Market Developments

• In February 2023, Wochit Company launched its AI-powered new video-generating tool, Wochit Wizard which integrates ChatGPT technology to create sophisticated video content using basic text narratives.
• In February 2023, Krikey.ai and Stability AI, two companies specializing in the manufacture of AI-based solutions and applications partnered to allow their users to create animated avatar videos through text descriptions that can be downloaded and posted on social media, video editing software, or 3D video games.
• In February 2023, Genius Brands declared that it will be broadcasting a new children's animated series, Kidaverse Fast Facts by integrating ChatGPT technology for scriptwriting with other AI technology to generate the animation, voice-over, and images.

North America holds a sizeable share in the AI for video production market and is expected to witness significant growth during the forecast period.

North American countries are simultaneously experiencing significant growth in their IT and technology industries as well as their media and entertainment industry, driven by the rapid advancements in AI technology and increasing consumption of high-quality social media content and other video streaming platforms. In addition, the prevalence of leading AI-based video-generating software companies in the US such as Pictory, Elai.io, InVideo AI, Synths Video, and Wisecut offers more opportunities for generating more video content based on AI in North America. Further, the existence of top IT and software companies driving innovations in the AI market such as Amazon Web Services, Google, IBM, and Microsoft are investing to create higher quality AI solutions across many applications including video generation. For instance, the newly appointed CEO of Youtube, a subsidiary of Google announced that they will be launching AI-sponsored video tools for their content creators to enable them to elevate the environment, quality, and content of their videos. Therefore, the available AI video-generating services and the escalating innovations and investments to generate better AI tools are predicted to expand the market size of AI for video production in North America over the upcoming years.

Market Segmentation

By Process

• Script Writing
• Animation
• Video Editing
• Voice-Overs

By Geography

• North America
  • USA
  • Canada
  • Mexico
• South America
  • Brazil
  • Argentina
  • Others
• Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
• Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Singapore
  • Indonesia
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

• 1.1. Market Overview
• 1.2. Market Definition
• 1.3. Scope of the Study
• 1.4. Market Segmentation
• 1.5. Currency
• 1.6. Assumptions
• 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

• 2.1. Research Data
• 2.2. Research Design

3. EXECUTIVE SUMMARY

• 3.1. Research Highlights

4. MARKET DYNAMICS

• 4.1. Market Drivers
• 4.2. Market Restraints
• 4.3. Porter's Five Forces Analysis
  • 4.3.1. Bargaining Power of Suppliers
  • 4.3.2. Bargaining Power of Buyers
  • 4.3.3. Threat of New Entrants
  • 4.3.4. Threat of Substitutes
  • 4.3.5. Competitive Rivalry in the Industry
• 4.4. Industry Value Chain Analysis

5. AI FOR VIDEO PRODUCTION MARKET BY PROCESS

• 5.1. Introduction
• 5.2. Script Writing
• 5.3. Animation
• 5.4. Video Editing
• 5.5. Voice-Overs

6. AI FOR VIDEO PRODUCTION MARKET BY GEOGRAPHY

• 6.1. Introduction
• 6.2. North America
  • 6.2.1. USA
  • 6.2.2. Canada
  • 6.2.3. Mexico
• 6.3. South America
  • 6.3.1. Brazil
  • 6.3.2. Argentina
  • 6.3.3. Others
• 6.4. Europe
  • 6.4.1. United Kingdom
  • 6.4.2. Germany
  • 6.4.3. France
  • 6.4.4. Italy
  • 6.4.5. Spain
  • 6.4.6. Others
• 6.5. Middle East and Africa
  • 6.5.1. Saudi Arabia
  • 6.5.2. UAE
  • 6.5.3. Others
• 6.6. Asia Pacific
  • 6.6.1. China
  • 6.6.2. Japan
  • 6.6.3. India
  • 6.6.4. South Korea
  • 6.6.5. Australia
  • 6.6.6. Singapore
  • 6.6.7. Indonesia
  • 6.6.8. Others

7. COMPETITIVE ENVIRONMENT AND ANALYSIS

• 7.1. Major Players and Strategy Analysis
• 7.2. Emerging Players and Market Lucrativeness
• 7.3. Mergers, Acquisitions, Agreements, and Collaborations
• 7.4. Vendor Competitiveness Matrix

8. COMPANY PROFILES

• 8.1. AI Screenwriter
• 8.2. ToolBaz
• 8.3. Steve AI
• 8.4. Elai.io
• 8.5. GliaStar
• 8.6. Adobe
• 8.7. Runway AI
• 8.8. Synthesia
• 8.9. FlexChip (PearlMountain)
• 8.10. Pictory.ai