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

Description

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.

Product Code: 10075

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

Chapter 10 Company Profiles

10.1 Abzu Aps
10.2 Alteryx, Inc.
10.3 Amazon Web Services, Inc. (AWS)
10.4 Arthur
10.5 C3.ai, Inc.
10.6 DarwinAI Corp.
10.7 Databricks Inc.
10.8 DataRobot, Inc.
10.9 Equifax Inc.
10.10 Fair, Isaac and Company
10.11 Fiddler AI
10.12 Google LLC
10.13 H2O.ai
10.14 Intel Corporation
10.15 Intellico Solutions Ltd
10.16 International Business Machines Corporation (IBM)
10.17 Kyndi, Inc.
10.18 Microsoft Corporation
10.19 Mphasis Limited
10.20 NVIDIA Corporation
10.21 Salesforce, Inc.
10.22 SAS Institute Inc.
10.23 Seldon Technologies Ltd.
10.24 Squirro AG
10.25 Temenos AG
10.26 Tensor AI Solutions GmbH
10.27 Tredence Inc.
10.28 Zest AI