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市场调查报告书
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1574152

音乐领域的人工智慧 (AI) 市场 - 2024 年至 2029 年预测

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个工作天内

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简介目录

音乐市场人工智慧（AI）市场规模预计将从2024年的14.89亿美元增加到2029年的32.01亿美元，复合年增长率为16.28%。

在音乐中，人工智慧意味着人工智慧软体应用程式与音乐集成，以促进作曲、混音和个人化曲目的过程。人工智慧软体在音乐製作过程中的应用使音乐製作人和艺术家能够创造新的声音和歌曲。 AI音乐市场的主要参与者包括Landr、Amper Music、Izotope、Brain.fm、Shazam、Splash、Aiva Technologies等。因此，许多音乐家正在采用人工智慧软体来改变他们的歌曲创作风格，并在他们创作和表演歌曲的串流服务上收听个人化播放清单。因此，已经开发了许多音乐软体应用程式来扩大国际音乐市场的消费并扩大音乐家提供的产品范围。

人工智慧支援的尖端音乐製作工具和智慧串流媒体服务的使用正在迅速将音乐业务扩展到新的领域。组织正在投资人工智慧来开发先进的演算法，这些演算法可以创作新歌曲、创建个人化配乐、支援音乐教育等等。这一增长也得益于人工智慧技术在智慧音箱和行动电话等小工具中的日益使用，这让更多人可以轻鬆存取人工智慧驱动的音乐应用程式。

音乐市场中的人工智慧 (AI) 驱动因素：

  • 人工智慧软体和技术的进步预计将推动需求

由于不断演变和发展，AI软体的特点被广泛应用于包括音乐产业在内的许多产业。这些发展为人工智慧软体背景下的组合开闢了新的途径。其中之一是“拒绝”，它涉及使用人工智慧电脑视觉而不是语音辨识软体或声音识别软体来创作音乐。拒绝是一种技术，可让您利用与不同音乐流派中使用的不同音符相关的视觉提示来创建配乐。预测期内，人工智慧在音乐市场的扩张预计将受到关键因素的推动。这些因素包括与人工智慧应用相关的研究和开发的增加，导致新的音乐製作方法，以及音乐串流服务消费的广泛增加。

音乐人工智慧 (AI) 市场的地理前景

  • 亚太地区在预测期内将经历指数级增长

亚太地区的媒体和娱乐产业正在经历显着成长，消费者和其他媒体平台的音乐消费水准很高。这推动了音乐产业对更有效率、更有效的人工智慧解决方案的需求。因此，对可用于音乐产业各种活动的各种人工智慧应用程式的投资激增。例如，人工智慧支援的音乐科技软体 Beatoven.ai 在印度推出，可以帮助各种 YouTube 频道、婚礼摄影公司和行销公司产生原创乐谱。除此之外，韩国、日本、中国和印度的音乐产业正在迅速扩张。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业部门和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何影响未来市场发展。
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公司使用我们的报告的目的是什么？

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响。

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手的市场状况、策略与市场占有率分析
  • 包括国家在内的细分市场和地区的收益成长和预测评估
  • 公司简介（策略、产品、财务资讯、主要动态等）

音乐市场中的人工智慧（AI）细分与分析如下：

按用途

  • 个人化
  • 作品
  • 音讯混合

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 澳洲
  • 新加坡
  • 印尼
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章音乐领域的人工智慧 (AI) 市场：按应用分类

  • 介绍
  • 个人化
  • 音乐创作
  • 音讯混合

第六章 音乐领域的人工智慧 (AI) 市场：按地区

  • 介绍
  • 北美洲
    • 按用途
    • 按国家/地区
  • 南美洲
    • 按用途
    • 按国家/地区
  • 欧洲
    • 按用途
    • 按国家/地区
  • 中东/非洲
    • 按用途
    • 按国家/地区
  • 亚太地区
    • 按用途
    • 按国家/地区

第七章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第八章 公司简介

  • iZotope
  • Aiva Technologies
  • Amper Music（Shutterstock Inc）
  • BRAINFM Inc
  • LANDR
  • Boomy Corporation
  • Magenta（Google Inc）
  • SOUNDRAW Inc
  • Amadeus Code
  • Klangio GmbH
简介目录
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