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市場調查報告書
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1574152

音樂領域的人工智慧 (AI) 市場 - 2024 年至 2029 年預測

Artificial Intelligence (AI) in Music Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 138 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

音樂市場人工智慧（AI）市場規模預計將從2024年的14.89億美元增加到2029年的32.01億美元，複合年成長率為16.28%。

在音樂中，人工智慧意味著人工智慧軟體應用程式與音樂整合，以促進作曲、混音和個人化曲目的過程。人工智慧軟體在音樂製作過程中的應用使音樂製作人和藝術家能夠創造新的聲音和歌曲。 AI音樂市場的主要參與者包括Landr、Amper Music、Izotope、Brain.fm、Shazam、Splash、Aiva Technologies等。因此，許多音樂家正在採用人工智慧軟體來改變他們的歌曲創作風格，並在他們創作和表演歌曲的串流服務上收聽個人化播放清單。因此，已經開發了許多音樂軟體應用程式來擴大國際音樂市場的消費並擴大音樂家提供的產品範圍。

人工智慧支援的尖端音樂製作工具和智慧串流媒體服務的使用正在迅速將音樂業務擴展到新的領域。組織正在投資人工智慧來開發先進的演算法，這些演算法可以創作新歌曲、創建個人化配樂、支援音樂教育等等。這一成長也得益於人工智慧技術在智慧音箱和行動電話等小工具中的日益使用，這讓更多人可以輕鬆存取人工智慧驅動的音樂應用程式。

音樂市場中的人工智慧 (AI) 促進因素：

  • 人工智慧軟體和技術的進步預計將推動需求

由於不斷演變和發展，AI軟體的特點被廣泛應用於包括音樂產業在內的許多產業。這些發展為人工智慧軟體背景下的組合開闢了新的途徑。其中之一是“拒絕”，它涉及使用人工智慧電腦視覺而不是語音辨識軟體或聲音識別軟體來創作音樂。拒絕是一種技術，可讓您利用與不同音樂流派中使用的不同音符相關的視覺提示來創建配樂。預測期內，人工智慧在音樂市場的擴張預計將受到關鍵因素的推動。這些因素包括與人工智慧應用相關的研究和開發的增加，導致新的音樂製作方法，以及音樂串流服務消費的廣泛增加。

音樂人工智慧 (AI) 市場的地理前景

  • 亞太地區在預測期內將經歷指數級成長

亞太地區的媒體和娛樂產業正在經歷顯著成長，消費者和其他媒體平台的音樂消費水準很高。這推動了音樂產業對更有效率、更有效的人工智慧解決方案的需求。因此，對可用於音樂產業各種活動的各種人工智慧應用程式的投資激增。例如，人工智慧支援的音樂科技軟體 Beatoven.ai 在印度推出，可以幫助各種 YouTube 頻道、婚禮攝影公司和行銷公司產生原創樂譜。除此之外，韓國、日本、中國和印度的音樂產業正在迅速擴張。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業部門和其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何影響未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
  • 面向廣大受眾：對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼？

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響。

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手的市場狀況、策略與市場佔有率分析
  • 包括國家在內的細分市場和地區的收益成長和預測評估
  • 公司簡介（策略、產品、財務資訊、主要動態等）

音樂市場中的人工智慧（AI）細分與分析如下：

按用途

  • 個人化
  • 作品
  • 音訊混合

按地區

  • 北美洲
  • 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
  • 義大利
  • 西班牙
  • 其他
  • 中東/非洲
  • 沙烏地阿拉伯
  • UAE
  • 其他
  • 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 新加坡
  • 印尼
  • 其他

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章音樂領域的人工智慧 (AI) 市場：按應用分類

  • 介紹
  • 個人化
  • 音樂創作
  • 音訊混合

第6章 音樂領域的人工智慧 (AI) 市場：按地區

  • 介紹
  • 北美洲
    • 按用途
    • 按國家/地區
  • 南美洲
    • 按用途
    • 按國家/地區
  • 歐洲
    • 按用途
    • 按國家/地區
  • 中東/非洲
    • 按用途
    • 按國家/地區
  • 亞太地區
    • 按用途
    • 按國家/地區

第7章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第8章 公司簡介

  • iZotope
  • Aiva Technologies
  • Amper Music（Shutterstock Inc）
  • BRAINFM Inc
  • LANDR
  • Boomy Corporation
  • Magenta（Google Inc）
  • SOUNDRAW Inc
  • Amadeus Code
  • Klangio GmbH
簡介目錄
Product Code: KSI061614866

Artificial intelligence (AI) in music market is expected to grow at a CAGR of 16.28%, reaching a market size of US$3.201 billion in 2029 from US$1.489 billion in 2024.

In music, AI implies that artificial intelligence software applications have been integrated with music to facilitate the process of composing, mixing, and personalizing tracks. The application of AI software in music production processes has enabled music producers and artists to create new sounds and tunes. Some of the major players in the AI music market include Landr, Amper Music, Izotope, and Brain.fm, Shazam, Splash, and Aiva Technologies. As a result, many musicians are adopting AI software to change their music composition style and individual listen playlists on streaming services where they produce or perform their songs. In this way, numerous music software applications have been developed to increase international music market consumption and the range of products offered by musicians.

The use of state-of-the-art music production tools and smart streaming services powered by artificial intelligence is driving the rapid expansion of the musical business into a new frontier. Organizations are investing in AI so that they can develop advanced algorithms capable of creating new songs, creating personalized soundtracks, or aiding music education. Additionally, another factor that adds to this growth is the expanded use of AI technology in gadgets like smart speakers and mobile phones, allowing many people to easily access AI-infused music apps.

Artificial Intelligence (AI) in Music Market Drivers:

  • Advancement in AI software and technology is anticipated to increase the demand

Properties of AI software are widely used in many industries, including the music industry, due to continuous evolution and development. These developments have opened new avenues for music composition in the context of AI software. One such technique is "riffusion," which is creating music using AI computer vision rather than voice and sound recognition software. Riffusion is a technique that allows soundtracks to be created by utilizing the visual cues connected to different notes used in various musical genres. The expansion of AI in the music market is expected to be driven by major factors over the forecast period. These factors include increased research and development related to AI applications, leading to new music production methods, as well as the widespread increase in the consumption of music streaming services.

Artificial Intelligence (AI) in Music Market Geographical Outlook

  • Asia Pacific is witnessing exponential growth during the forecast period

Asia Pacific is experiencing significant growth in their media and entertainment industry and is witnessing high levels of music consumption across consumers and other media platforms. This has driven the demand for more efficient and effective AI solutions for the music industry. This, in turn, has spurred investment in various AI applications that can be employed across various activities in the music industry. For instance, an AI-assisted music technology software, Beatoven.ai, is provided in India, which helps generate original music scores for various YouTube channels, wedding videography firms, and marketing agencies. In addition to this, the music industries of South Korea, Japan, China, and India are expanding rapidly.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Artificial Intelligence (AI) in music market is segmented and analyzed as follows:

By Application

  • Personalization
  • Music Composition
  • Audio Mixing

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
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

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
  • 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE (AI) IN MUSIC MARKET BY APPLICATION

  • 5.1. Introduction
  • 5.2. Personalization
  • 5.3. Music Composition
  • 5.4. Audio Mixing

6. ARTIFICIAL INTELLIGENCE (AI) IN MUSIC MARKET BY GEOGRAPHY

  • 6.1. Introduction
  • 6.2. North America
    • 6.2.1. By Application
    • 6.2.2. By Country
      • 6.2.2.1. USA
      • 6.2.2.2. Canada
      • 6.2.2.3. Mexico
  • 6.3. South America
    • 6.3.1. By Application
    • 6.3.2. By Country
      • 6.3.2.1. Brazil
      • 6.3.2.2. Argentina
      • 6.3.2.3. Others
  • 6.4. Europe
    • 6.4.1. By Application
    • 6.4.2. By Country
      • 6.4.2.1. United Kingdom
      • 6.4.2.2. Germany
      • 6.4.2.3. France
      • 6.4.2.4. Italy
      • 6.4.2.5. Spain
      • 6.4.2.6. Others
  • 6.5. Middle East and Africa
    • 6.5.1. By Application
    • 6.5.2. By Country
      • 6.5.2.1. Saudi Arabia
      • 6.5.2.2. UAE
      • 6.5.2.3. Others
  • 6.6. Asia Pacific
    • 6.6.1. By Application
    • 6.6.2. By Country
      • 6.6.2.1. China
      • 6.6.2.2. Japan
      • 6.6.2.3. India
      • 6.6.2.4. South Korea
      • 6.6.2.5. Australia
      • 6.6.2.6. Singapore
      • 6.6.2.7. Indonesia
      • 6.6.2.8. Others

7. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 7.1. Major Players and Strategy Analysis
  • 7.2. Market Share Analysis
  • 7.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 7.4. Competitive Dashboard

8. COMPANY PROFILES

  • 8.1. iZotope
  • 8.2. Aiva Technologies
  • 8.3. Amper Music (Shutterstock Inc)
  • 8.4. BRAINFM Inc
  • 8.5. LANDR
  • 8.6. Boomy Corporation
  • 8.7. Magenta (Google Inc)
  • 8.8. SOUNDRAW Inc
  • 8.9. Amadeus Code
  • 8.10. Klangio GmbH