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人工智能

市場調查報告書

商品編碼

1544545

可解釋的人工智慧市場、機會、成長動力、產業趨勢分析與預測，2024-2032

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

出版日期: 2024年07月01日 | 出版商:

Global Market Insights Inc. | 英文 270 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

在各產業人工智慧應用快速成長的推動下，204-2032 年可解釋人工智慧市場規模的複合年成長率將超過 15%。根據Exploding Topics預測，未來6年內，人工智慧產業價值預計將成長至目前規模的13倍以上。隨著人工智慧技術擴大融入醫療保健、金融、零售和製造等領域，對透明和可解釋的人工智慧系統的需求變得越來越重要。組織正在利用人工智慧進行廣泛的應用，從預測分析和客戶服務自動化到詐欺檢測和個人化行銷。這種廣泛採用推動了對 XAI 解決方案的需求，這些解決方案可以為人工智慧決策過程提供清晰的見解，確保這些技術不僅有效，而且值得信賴並符合監管標準。

私營和公共部門都在分配大量資金來提高人工智慧技術的能力，特別關注可解釋性。公司正在與學術機構和研究組織合作，探索使人工智慧模型更加透明和可解釋的新方法。可解釋的人工智慧 (XAI) 技術正在快速發展，越來越成為各行業人工智慧系統不可或缺的一部分。研發投資的流入推動了市場成長和全球可解釋人工智慧解決方案的採用。

可解釋人工智慧（XAI）產業根據組件、軟體服務、方法和地區進行分類。

到 2032 年，服務細分市場佔有率將激增，因為這些服務對於幫助組織應對實施 XAI 解決方案的複雜性至關重要，確保 AI 模型不僅準確，而且可解釋且值得信賴。該公司正在轉向專業服務供應商，以深入了解其人工智慧系統、提高營運效率並遵守監管要求。對 XAI 服務的需求激增凸顯了它們在促進各行業採用方面發揮的關鍵作用。

由於其方便用戶使用性和可訪問性，到 2032 年，整合軟體領域將佔據顯著的市場佔有率。這些解決方案對於需要理解和解釋複雜人工智慧模型（例如深度學習和神經網路）所做的決策的企業特別有價值。透過提供一整套用於模型調試、驗證和監控的工具，整合軟體解決方案使組織能夠更有信心和保證地部署人工智慧。將可解釋性整合到軟體解決方案中正在成為一種標準做法，因為它使公司能夠建立更可靠的人工智慧系統，這些系統可以輕鬆審核並受到利害關係人的信任。

在嚴格的法規和對道德人工智慧實踐的高度重視的推動下，歐洲可解釋人工智慧產業將在 2024 年至 2032 年實現穩定成長。歐盟的《一般資料保護規範》(GDPR) 和即將訂定的人工智慧法案正在推動組織採用 XAI 解決方案，以確保遵守透明度和問責標準。此外，歐洲國家正在大力投資人工智慧研發，促進 XAI 領域的創新和協作。歐洲領先科技公司和學術機構的存在也正在塑造該地區的市場前景。

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
  - 監理合規性和道德要求
  - 增強模型效能和調試
  - 客戶及市場需求
  - 問責制的重要性日益增加
  - 國際合作和標準制定
- 產業陷阱與挑戰
  - 複雜性和權衡
  - 標準化和最佳實踐
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：按組成部分，2021 - 2032 年

解決方案
服務

第 6 章：市場估計與預測：按軟體類型，2021 - 2032 年

獨立軟體
整合軟體
自動報告工具
互動式模型可視化

第 7 章：市場估計與預測：依方法，2021 - 2032

與模型無關的方法
特定於模型的方法

第 8 章：市場估計與預測：按產業垂直分類，2021 - 2032 年

BFSI
零售與電子商務
資訊科技和電信
政府和公共部門
衛生保健
製造業
媒體和娛樂
其他

第 9 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 10 章：公司簡介

Abzu Aps
Alteryx, Inc.
Amazon Web Services, Inc. (AWS)
Arthur
C3.ai, Inc.
DarwinAI Corp.
Databricks Inc.
DataRobot, Inc.
Equifax Inc.
Fair, Isaac and Company
Fiddler AI
Google LLC
H2O.ai
Intel Corporation
Intellico Solutions Ltd
International Business Machines Corporation (IBM)
Kyndi, Inc.
Microsoft Corporation
Mphasis Limited
NVIDIA Corporation
Salesforce, Inc.
SAS Institute Inc.
Seldon Technologies Ltd.
Squirro AG
Temenos AG
Tensor AI Solutions GmbH
Tredence Inc.
Zest AI

簡介目錄

Product Code: 10075

The Explainable AI market size will grow over 15% CAGR during 204-2032, driven by the rapid growth of AI applications across various industries. According to Exploding Topics, the AI industry value is expected to grow over 13 times its current size within the next 6 years. As AI technologies get more integrated into sectors such as healthcare, finance, retail, and manufacturing, the need for transparent and interpretable AI systems is becoming increasingly critical. Organizations are leveraging AI for a wide range of applications, from predictive analytics and customer service automation to fraud detection and personalized marketing. This widespread adoption is driving the demand for XAI solutions that can provide clear insights into AI decision-making processes, ensuring that these technologies are not only effective but also trustworthy and compliant with regulatory standards.

Both private and public sectors are allocating substantial funds to advance the capabilities of AI technologies, with a particular focus on explainability. Companies are partnering with academic institutions and research organizations to explore new approaches to making AI models more transparent and interpretable. There is a rapid evolution in explainable AI (XAI) technologies, becoming more integral to AI systems across various industries. The inflowing R and D investment in driving the market growth and adoption of explainable AI solutions globally.

The Explainable AI (XAI) Industry is classified based on component, software service, method, and region.

The services segment share will proliferate through 2032, as these services are essential in helping organizations navigate the complexities of implementing XAI solutions, ensuring that AI models are not only accurate but also interpretable and trustworthy. Companies are turning to specialized service providers to gain insights into their AI systems, enhance operational efficiencies, and comply with regulatory requirements. This surge in demand for XAI services highlights the crucial role they play in facilitating the adoption across various industries.

The integrated software segment will hold a notable market share by 2032, owing to its user-friendliness and accessibility. These solutions are particularly valuable for businesses that need to understand and interpret the decisions made by complex AI models, such as deep learning and neural networks. By providing a comprehensive suite of tools for model debugging, validation, and monitoring, integrated software solutions enable organizations to deploy AI with greater confidence and assurance. The integration of explainability into software solutions is becoming a standard practice, as it allows companies to build more reliable AI systems that can be easily audited and trusted by stakeholders.

Europe Explainable AI Industry will witness steady growth over 2024-2032, driven by stringent regulations and a strong emphasis on ethical AI practices. The European Union's General Data Protection Regulation (GDPR) and the upcoming AI Act are pushing organizations to adopt XAI solutions to ensure compliance with transparency and accountability standards. Additionally, European countries are investing heavily in AI research and development, fostering innovation and collaboration in the XAI space. The presence of leading technology companies and academic institutions in Europe is also shaping the regional market outlook.

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 Regulatory compliance and ethical requirements
  - 3.8.1.2 Enhancing model performance and debugging
  - 3.8.1.3 Customer and market demand
  - 3.8.1.4 Growing importance of accountability
  - 3.8.1.5 International collaboration and standards development
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 Complexity and trade-offs
  - 3.8.2.2 Standardization and best practices
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 Component, 2021 - 2032 (USD Billion)

5.1 Solution
5.2 Service

Chapter 6 Market Estimates and Forecast, By Software Type, 2021 - 2032 (USD Billion)

6.1 Standalone software
6.2 Integrated software
6.3 Automated reporting tools
6.4 Interactive model visualization

Chapter 7 Market Estimates and Forecast, By Method, 2021 - 2032 (USD Billion)

7.1 Model-agnostic methods
7.2 Model-specific methods

Chapter 8 Market Estimates and Forecast, By Industry Vertical, 2021 - 2032 (USD Billion)

8.1 BFSI
8.2 Retail and e-commerce
8.3 IT and telecommunication
8.4 Government and public sector
8.5 Healthcare
8.6 Manufacturing
8.7 Media and entertainment
8.8 Others

Chapter 9 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Billion)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Rest of Europe
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 ANZ
- 9.4.6 Rest of Asia Pacific
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Rest of Latin America
9.6 MEA
- 9.6.1 UAE
- 9.6.2 South Africa
- 9.6.3 Saudi Arabia
- 9.6.4 Rest of MEA