Top 20 Explainable AI (XAI) International News

2025-08-30 11:15:30

Here's a summary of recent news and information on Explainable AI (XAI):

Explainable AI Startups: Explainable AI (XAI) startups are developing tools and technologies to transform complex AI systems into transparent and understandable processes. These startups prioritize transparency, regulatory compliance, stakeholder trust, and risk management, driving the development of AI systems that are both powerful and responsible. The XAI market is expected to reach USD 34.6 Billion by 2033.
Source: enterpriseleague.com
Top Companies in the XAI Market:
- The global Explainable AI (XAI) market is experiencing rapid growth, with the size reaching $6.45 billion in 2023 and is predicted to reach $7.85 billion by the end of 2024.
- Key companies offering XAI solutions include Google LLC, Microsoft Corporation, FICO (Fair Isaac Corporation), Accenture plc, Oracle Corporation, SAP SE, Amazon Web Services (AWS), IBM Corporation, DARPA (Defense Advanced Research Projects Agency), and SAS Institute Inc.
  Source: www.emergenresearch.com
Z Advanced Computing (ZAC): ZAC was listed among the top 20 explainable AI (XAI) startups globally by Enterprise League. ZAC specializes in Cognitive Explainable AI (CXAI) technology.
Source: third-news.com
Market Growth and Trends: The explainable AI market has evolved into critical business infrastructure, reaching $7.3 billion in 2024. It is projected to reach between $9.8 to 13.4 billion in 2025. Key trends include the adoption of neuro-symbolic systems and the establishment of benchmarking standards for XAI.
Source: quickmarketpitch.com
Top 10 Global Leaders The global explainable AI market was valued at USD 6.68 billion in 2023 and is predicted to reach USD 24.58 billion by 2030, reflecting a CAGR of 21.3% from 2024 to 2030
- Key companies in this market include Salesforce, Alphabet, IBM, Microsoft among others who dominate the development and deployment of explainable AI solutions.
  Source: www.nextmsc.com
Top 10 Breakthroughs in Explainable AI in 2024:
- Advanced Neural Network Interpretability
- Regulatory Compliance Tools
- Natural Language Explanations
- Context-Sensitive Explanations
- Ethical Decision-Making Frameworks
- Explainable AI in Edge Computing
- Quantum Computing Enhancements
- Benchmarking Standards for XAI
- Personalization in AI Explanations
- Collaborative Explanations in AI Systems
  Source: industrywired.com