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市场调查报告书

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1544545

可解释的人工智慧市场、机会、成长动力、产业趋势分析与预测，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个工作天内

价格

简介目录

在各产业人工智慧应用快速成长的推动下，204-2032 年可解释人工智慧市场规模的复合年增长率将超过 15%。根据Exploding Topics预测，未来6年内，人工智慧产业价值预计将成长至目前规模的13倍以上。随着人工智慧技术越来越多地融入医疗保健、金融、零售和製造等领域，对透明和可解释的人工智慧系统的需求变得越来越重要。组织正在利用人工智慧进行广泛的应用，从预测分析和客户服务自动化到诈欺检测和个人化行销。这种广泛采用推动了对 XAI 解决方案的需求，这些解决方案可以为人工智慧决策过程提供清晰的见解，确保这些技术不仅有效，而且值得信赖并符合监管标准。

私营和公共部门都在分配大量资金来提高人工智慧技术的能力，特别关注可解释性。公司正在与学术机构和研究组织合作，探索使人工智慧模型更加透明和可解释的新方法。可解释的人工智慧 (XAI) 技术正在快速发展，越来越成为各行业人工智慧系统不可或缺的一部分。研发投资的流入推动了市场成长和全球可解释人工智慧解决方案的采用。

可解释人工智慧（XAI）产业根据组件、软体服务、方法和地区进行分类。

到 2032 年，服务细分市场份额将激增，因为这些服务对于帮助组织应对实施 XAI 解决方案的复杂性至关重要，确保 AI 模型不仅准确，而且可解释且值得信赖。该公司正在转向专业服务供应商，以深入了解其人工智慧系统、提高营运效率并遵守监管要求。对 XAI 服务的需求激增凸显了它们在促进各行业采用方面发挥的关键作用。

由于其用户友好性和可访问性，到 2032 年，整合软体领域将占据显着的市场份额。这些解决方案对于需要理解和解释复杂人工智慧模型（例如深度学习和神经网路）所做的决策的企业特别有价值。透过提供一整套用于模型调试、验证和监控的工具，整合软体解决方案使组织能够更有信心和保证地部署人工智慧。将可解释性整合到软体解决方案中正在成为一种标准做法，因为它使公司能够建立更可靠的人工智慧系统，这些系统可以轻鬆审核并受到利害关係人的信任。

在严格的法规和对道德人工智慧实践的高度重视的推动下，欧洲可解释人工智慧产业将在 2024 年至 2032 年实现稳定成长。欧盟的《一般资料保护规范》(GDPR) 和即将出台的人工智慧法案正在推动组织采用 XAI 解决方案，以确保遵守透明度和问责标准。此外，欧洲国家正在大力投资人工智慧研发，促进 XAI 领域的创新和协作。欧洲领先科技公司和学术机构的存在也正在塑造该地区的市场前景。

产业生态系统分析
供应商矩阵
利润率分析
技术与创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 监理合规性和道德要求
  - 增强模型效能和调试
  - 客户及市场需求
  - 问责制的重要性日益增加
  - 国际合作和标准制定
- 产业陷阱与挑战
  - 复杂性和权衡
  - 标准化和最佳实践
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

解决方案
服务

第 6 章：市场估计与预测：按软体类型，2021 - 2032 年

独立软体
整合软体
自动报告工具
互动式模型可视化

第 7 章：市场估计与预测：依方法，2021 - 2032

与模型无关的方法
特定于模型的方法

第 8 章：市场估计与预测：按产业垂直划分，2021 - 2032 年

BFSI
零售与电子商务
资讯科技和电信
政府和公共部门
卫生保健
製造业
媒体和娱乐
其他的

第 9 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 10 章：公司简介

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

简介目录

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