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人工智能

市場調查報告書

商品編碼

1544696

因果人工智慧市場、機會、成長動力、產業趨勢分析與預測，2024-2032

Causal AI Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: 2024年07月12日 | 出版商:

Global Market Insights Inc. | 英文 210 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在人工智慧新創公司和技術創新不斷成長的推動下，因果人工智慧市場在 2024 年至 2032 年期間複合年成長率將超過 40%。根據 Exploding Topics 預測，到 2025 年，人工智慧產業將僱用約 9,700 萬人，呈現快速成長。專注於人工智慧的公司正在突破人工智慧應用的界限，引入創新技術來增強休閒遊戲的各個方面，從自適應學習演算法到複雜的遊戲設計工具。他們的敏捷性和對顛覆性技術的關注培育了一個充滿活力的生態系統，擴大了人工智慧驅動的產品範圍。此外，這些新創公司通常在人工智慧方法和應用領域處於領先地位，引領市場趨勢。

此外，各行業的企業都在尋求專業的諮詢服務，以了解人工智慧的潛力並根據其特定需求客製化解決方案。這些諮詢服務可協助組織應對人工智慧技術的複雜性，提供有關最佳實踐、策略制定和解決方案最佳化的見解。不同行業擴大採用人工智慧，需要專業知識來最大限度地發揮人工智慧投資的效益，這將提振市場前景。

因果人工智慧產業根據產品、最終用戶、應用程式和地區進行分類。

到 2032 年，遊戲領域將快速成長，因為人工智慧在休閒遊戲中的應用徹底改變了遊戲的開發、玩法和體驗方式。休閒AI透過引入自適應學習機制、個人化遊戲體驗和智慧遊戲設計來增強遊戲體驗。這些進步使遊戲能夠動態調整難度級別，提供客製化的體驗來保持玩家的參與度。人工智慧驅動的分析提供了對玩家行為的洞察，使開發人員能夠微調遊戲機制和設計，以滿足更廣泛的受眾。

到 2032 年，服務領域將實現穩定成長，因為這些服務，包括人工智慧驅動的分析、諮詢、整合和支持，對於尋求有效利用人工智慧技術的企業至關重要。人工智慧驅動的分析服務為企業提供來自大型資料集的寶貴見解，使他們能夠做出明智的決策並最佳化營運。諮詢服務幫助組織了解人工智慧的潛力並實施根據其特定需求量身定做的解決方案。

在技術進步和人工智慧研發投資增加的推動下，到2032 年，歐洲因果人工智慧產業將以良好的速度成長。的廣泛採用鋪平了道路。歐洲國家正在大力投資人工智慧基礎設施，為人工智慧新創公司和企業創造有利的環境。該地區充滿活力的遊戲文化以及領先遊戲開發商和發行商的存在創造了對人工智慧驅動的遊戲解決方案的強勁需求，從而促進了市場成長。

產業生態系統分析
供應商矩陣
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 對預測分析工具的需求增加
  - 機器學習和人工智慧技術的進步
  - 巨量資料和物聯網的成長
  - 對數據驅動決策的需求不斷成長
  - 擴大人工智慧在醫療保健領域的應用
- 產業陷阱與挑戰
  - 模型開發複雜度高
  - 道德問題和資料隱私問題
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按產品分類，2021 - 2032 年

平台
- 部署
  - 雲
  - 現場
- 服務
  - 諮詢
  - 部署與整合
  - 培訓、支援和維護

第 6 章：市場估計與預測：按應用分類，2021 - 2032

個人協助
智慧家庭設備
賭博
自動駕駛汽車
詐欺檢測系統
穿戴式科技
語言學習應用程式
旅行計劃和預訂
健康監測設備
音樂和視訊串流
智慧電網管理
導航系統
其他

第 7 章：市場估計與預測：按最終用戶產業，2021 - 2032 年

消費性電子產品
衛生保健
零售與電子商務
媒體和娛樂
汽車
BFSI
教育
旅行和招待
公用事業和能源
其他

第 8 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯
- MEA 的其餘部分

第 9 章：公司簡介

Adobe Inc.
Alibaba Group Holding Limited
Amazon.com, Inc.
Baidu, Inc.
Dropbox, Inc.
Facebook, Inc.
Google LLC
IBM Corporation
Intel Corporation
Microsoft Corporation
NVIDIA Corporation
Oracle Corporation
Pinterest, Inc.
Reddit, Inc.
Salesforce.com, Inc.
SAP SE
Snap Inc.
Tencent Holdings Limited
Twitter, Inc.
Xiaomi Corporation

簡介目錄

Product Code: 10231

The Causal AI Market will record over 40% CAGR during 2024-2032, driven by the growing presence of AI startups and tech innovations. According to Exploding Topics, by 2025, the AI industry is set to employ approximately 97 million people, reflecting rapid growth. AI-focused companies are pushing the boundaries of AI applications, introducing innovative technologies that enhance various aspects of casual gaming, from adaptive learning algorithms to sophisticated game design tools. Their agility and focus on disruptive technologies foster a dynamic ecosystem, broadening the range of AI-driven offerings. Additionally, these startups often lead in pioneering AI methodologies and applications, setting the market trends.

Moreover, businesses across various sectors are seeking specialized consulting services to understand the potential of AI and tailor solutions to their specific needs. These consulting services help organizations navigate the complexities of AI technology, offering insights into best practices, strategy development, and solution optimization. The rising adoption of AI across different sectors, necessitating professional expertise to maximize the benefits of AI investments, will bolster the market outlook.

The Causal AI Industry is classified based on offering, end-user, application, and region.

The gaming segment will grow rapidly through 2032, as the application of AI in casual gaming has revolutionized the way games are developed, played, and experienced. Causal AI is enhancing the gaming experience by introducing adaptive learning mechanisms, personalized gaming experiences, and intelligent game design. These advancements enable games to adjust difficulty levels dynamically, providing a tailored experience that keeps players engaged. AI-driven analytics offer insights into player behavior, allowing developers to fine-tune game mechanics and design to cater to a broader audience.

The service segment will witness steady growth through 2032, as these services, including AI-powered analytics, consulting, integration, and support, are crucial for businesses looking to leverage AI technologies effectively. AI-powered analytics services provide businesses with valuable insights derived from large datasets, enabling them to make informed decisions and optimize their operations. Consulting services help organizations understand the potential of AI and implement customized solutions tailored to their specific needs.

Europe Causal AI Industry will grow at a decent pace through 2032, driven by technological advancements and increasing investments in AI R and D. The region's strong emphasis on innovation and digital transformation has paved the way for widespread adoption of AI technologies across various industries. European countries are investing heavily in AI infrastructure, fostering a conducive environment for AI startups and enterprises. The region's vibrant gaming culture and the presence of leading game developers and publishers create a robust demand for AI-powered gaming solutions, adding to market growth.

Chapter 1 Methodology and Scope

1.1 Market scope and definition
1.2 Base estimates and calculations
1.3 Forecast calculation
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Vendor matrix
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increased demand for predictive analytics tools
  - 3.8.1.2 Advancements in machine learning and AI technologies
  - 3.8.1.3 Growth of big data and IoT
  - 3.8.1.4 Rising need for data-driven decision making
  - 3.8.1.5 Expansion of AI applications in healthcare
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 High complexity of model development
  - 3.8.2.2 Ethical concerns and data privacy issues
3.9 Growth potential analysis
3.10 Porter's analysis
- 3.10.1 Supplier power
- 3.10.2 Buyer power
- 3.10.3 Threat of new entrants
- 3.10.4 Threat of substitutes
- 3.10.5 Industry rivalry
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Offering, 2021 - 2032 (USD Million)

5.1 Platform
- 5.1.1 Deployment
  - 5.1.1.1 Cloud
  - 5.1.1.2 On- premises
- 5.1.2 Services
  - 5.1.2.1 Consulting
  - 5.1.2.2 Deployment and integration
  - 5.1.2.3 Training, support and maintenance

Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 (USD Million)

6.1 Personal assistance
6.2 Smart home devices
6.3 Gaming
6.4 Autonomous vehicles
6.5 Fraud detection systems
6.6 Wearable technology
6.7 Language learning apps
6.8 Travel planning and booking
6.9 Health monitoring devices
6.10 Music and video streaming
6.11 Smart grid management
6.12 Navigation systems
6.13 Others

Chapter 7 Market Estimates and Forecast, By End-User industry, 2021 - 2032 (USD Million)

7.1 Consumer electronics
7.2 Healthcare
7.3 Retail and e-commerce
7.4 Media and entertainment
7.5 Automotive
7.6 BFSI
7.7 Education
7.8 Travel and hospitality
7.9 Utilities and energy
7.10 Others

Chapter 8 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Million)

8.1 Key trends
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 ANZ
- 8.4.6 Rest of Asia Pacific
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Rest of Latin America
8.6 MEA
- 8.6.1 UAE
- 8.6.2 South Africa
- 8.6.3 Saudi Arabia
- 8.6.4 Rest of MEA