市场调查报告书
商品编码
1527019
全球可解释人工智慧 2024-2031Global Explainable AI 2024-2031 |
可解释的人工智慧市场规模、份额和趋势分析报告,按组件(解决方案和服务)、方法(与模型无关的方法和特定于模型的方法)、部署模式(云端和本地)以及终端-用户(医疗保健、BFSI、航太与国防、零售与电子商务、公共部门与公用事业、IT 与电信、汽车等)预测期间 (2024-2031)
在预测期内(2024-2031 年),可解释人工智慧市场预计将以 20.9% 的复合年增长率成长。在人工智慧决策透明度的监管要求、人工智慧在不同行业的广泛采用、技术进步和公众意识不断提高的推动下,解释人工智慧(XAI)市场正在经历大幅增长。人工智慧道德准则强调公平、问责和透明,这需要使用可解释的人工智慧技术。 SHAP 和 LIME 等技术进步正在推动更多可解释模型的开发,而 XAI 解决方案与现有系统的整合则有助于组织更轻鬆地采用和实施。
Explainable AI Market Size, Share & Trends Analysis Report by Component (Solutions, and Services), by Methods (Model-Agnostic Methods, and Model-Specific Methods), by Deployment Mode (Cloud, and On-Premises), and by End-User (Healthcare, BFSI, Aerospace & Defense, Retail and E-commerce, Public Sector & Utilities, IT & Telecommunication, Automotive, and Others) Forecast Period (2024-2031)
Explainable AI market is anticipated to grow at a CAGR of 20.9% during the forecast period (2024-2031). The Explainable AI (XAI) market is experiencing substantial growth driven by the regulatory requirements for transparency in AI decision-making, the widespread adoption of AI in different industries, technological advancements, and increasing public awareness. Ethical AI guidelines emphasize fairness, accountability, and transparency, which necessitate the use of explainable AI techniques. Technological advancements like SHAP and LIME are driving the development of more interpretable models, while the integration of XAI solutions with existing systems facilitates easier adoption and implementation for organizations.
Market Dynamics
Increasing Adoption of AI Across Industries
The high AI adoption in telecommunications and network optimization driving XAI adoption owing to sector-specific demand for transparent, interpretable solutions. In February 2024, Ericsson launched Explainable AI in Cognitive Software to accelerate AI adoption in network optimization. The new capabilities enable a shorter time to value from AI-based solutions, improving efficiency in RAN optimization. The solutions rely on AI models trained on diverse global data sets and can be retrained locally for fast deployment.
The process of utilizing advanced AI technologies, such as generative AI and large language models, significantly enhances classification accuracy across various languages. Take leverage of these technologies, in September 2023, Temenos launched a secure Generative AI solution in banking, enabling banks to automatically classify customers' transactions. This solution provides personalized insights, enhances customer loyalty, and improves digital banking experiences. The solution uses Generative AI and large language models to understand various modalities, allowing banks to classify and label transactions with high accuracy in different languages.
Market Segmentation
Cloud-based is Projected to Emerge as the Largest Segment
The high adoption of cloud-based XAI solutions due to their high scalability and cost-effectiveness is a key contributor to the high share of this market segment. Therefore, key players are focusing on offering cloud-based solutions to gain a high share of the global market. For instance, in April 2024, Neo4j partnered with Google Cloud to introduce new GraphRAG capabilities for GenAI applications, enabling developers to create knowledge graphs from unstructured data, analyze real-time data in seconds, and build GenAI applications powered by knowledge graphs on Google Cloud.
Retail and E-commerce Sub-segment to Hold a Considerable Market Share
In the retail & E-commerce sector, XAI is essential for ensuring transparent AI-driven decisions, promoting regulatory compliance, and creating consumer trust. In January 2023, Google Cloud introduced new AI tools for retailers, including a shelf-checking solution using Vertex AI Vision and machine learning capabilities for its Recommendations AI solution, which optimizes product ordering and recommendations on e-commerce pages based on product visual features. Such developments are further aiding the growth of this market segment.
The global explainable AI market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).
Rapid Digitalization of Healthcare Records in Asia-Pacific Region
The rapid digitization of healthcare records is demanding the use of AI technologies to increase transparency has driven the adoption of XAI across the region. According to the National Center for Biotechnology Information, in March 2023, the Indian government successfully implemented the Unified Payments Interface (UPI) to enhance its digital public infrastructure. With 1.2 billion wireless connections, 600 million smartphone users, and 800 million internet connections, digitization has reached remote areas. Aadhaar's 90.0% penetration and integration with JAM and UPI have minimized government subsidy leakages, demonstrating India's proficiency in digital technology.
North America Holds Major Market Share
The high R&D for AI, high adoption of AI across several regional industries, and favorable government policies are key factors driving the regional XAI market. Increased federal investment serves as a driving force for innovation, enhancing higher exploration and advancements in AI R&D across the region. In January 2024, the National Security Commission proposed a federal spending target of $32.0 billion for non-defense AI R&D by Fiscal Year 2026, comparable to the current federal investment in biomedical research. To achieve this objective, federal funding for non-defense AI R&D should be increased to $8.0 billion and continue to double annually for the next three fiscal years. This increased funding would encourage innovation and scientific advancements by involving various stakeholders in the field and supporting the testing and evaluation of cutting-edge models.
The major companies serving the explainable AI market include Accenture PLC, IBM Corp., Google LLC, Microsoft Corp., and SAS Institute Inc. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaborations, mergers and acquisitions to stay competitive in the market. For instance, in March 2024, Apple acquired DarwinAI, an AI visual quality assurance startup that offers a patented Explainable AI platform for improving product quality and increasing production efficiency.