人工智能驱动的监管科技将迎来爆炸式增长，预计到 2028 年价值将达到 66.4 亿美元

随着人工智能 (AI) 的日益普及，研究与市场预测 regtech（监管技术）将推动其采用。监管科技中的人工智能预计将大幅增长，到 2028 年，将从目前的 13.7 亿美元增至 66.4 亿美元，复合年增长率 (CAGR) 为 36.9%。促成这种增长的因素包括实时监控和报告要求、飙升的合规成本以及数据管理的复杂性。

Artificial Intelligence-Driven Regtech Poised for Exponential Growth

人工智能驱动的监管科技有望呈指数级增长

Amidst the relentless advancement of artificial intelligence (AI), industry experts at Research and Markets forecast that regulatory technology (Regtech) will emerge as the next major driver of AI adoption.

随着人工智能 (AI) 的不断进步，研究和市场的行业专家预测，监管技术 (Regtech) 将成为人工智能采用的下一个主要驱动力。

A comprehensive report from the firm projects a stratospheric rise in the value of the AI-powered Regtech market, surging from its current valuation of $1.37 billion to an astounding $6.64 billion by 2028. This exponential growth signifies a remarkable compound annual growth rate (CAGR) of 36.9%, propelling Regtech to the forefront of enterprise compliance strategies.

该公司的一份综合报告预测，人工智能驱动的监管科技市场的价值将大幅上升，到 2028 年，将从目前的 13.7 亿美元估值飙升至惊人的 66.4 亿美元。这种指数级增长意味着惊人的复合年增长率 (CAGR) 36.9%，推动Regtech走在企业合规战略的前沿。

The report attributes the surge in AI adoption within Regtech to an array of compelling factors, foremost among them, the imperative for real-time monitoring and reporting to safeguard consumer interests. Other key growth drivers include the escalating costs of compliance and the daunting challenge of managing burgeoning data sets.

该报告将监管科技中人工智能采用的激增归因于一系列令人信服的因素，其中最重要的是实时监控和报告以维护消费者利益的必要性。其他关键的增长驱动因素包括不断上升的合规成本以及管理不断增长的数据集的艰巨挑战。

Already, the AI adoption trajectory in Regtech is exhibiting a pronounced upward trend, with market projections indicating a surge to $1.89 billion by 2024.

监管科技领域的人工智能采用轨迹已经呈现出明显的上升趋势，市场预测表明到 2024 年将激增至 18.9 亿美元。

"Forecasts for the projected period envision the widespread adoption of machine learning (ML) and natural language processing (NLP), the integration of explainable AI (XAI), the leveraging of predictive analytics, the automation of compliance processes, risk assessment and management, and the establishment of regulatory sandboxes and innovation hubs," the report states.

“对预计期间的预测设想机器学习（ML）和自然语言处理（NLP）的广泛采用，可解释人工智能（XAI）的集成，预测分析的利用，合规流程的自动化，风险评估和管理，以及建立监管沙箱和创新中心，”报告指出。

The financial industry, in particular, is poised to spearhead the adoption of AI-based Regtech products, with the majority of services centered on fraud detection and anti-money laundering (AML) tools. In recent months, a surge in regulatory scrutiny has spurred numerous firms to seek AI-backed Regtech applications. In the United Kingdom, Regtech behemoth CUBE recently announced the acquisition of industry rival The Hub, anticipating the predicted industry boom before the end of the decade.

尤其是金融行业，准备率先采用基于人工智能的监管科技产品，其中大部分服务以欺​​诈检测和反洗钱（AML）工具为中心。近几个月来，监管审查的激增促使许多公司寻求人工智能支持的监管科技应用。在英国，监管科技巨头 CUBE 最近宣布收购行业竞争对手 The Hub，预计该行业将在本世纪末出现繁荣。

The extensive 117-page report identifies North America, and the United States specifically, as the primary drivers of AI-powered Regtech applications throughout the survey period. Nonetheless, the European Union (EU), the Middle East, and Southeast Asia are anticipated to contribute significantly to adoption rates in the years to come, aligning with the imperative to adhere to global regulatory standards.

这份长达 117 页的报告指出，北美，特别是美国，是整个调查期间人工智能驱动的监管科技应用的主要驱动力。尽管如此，预计欧盟 (EU)、中东和东南亚将在未来几年对采用率做出重大贡献，这符合遵守全球监管标准的必要性。

AI Revolution Spreads Across Industries

人工智能革命遍及各行各业

Regtech is not an isolated sector earmarked for significant AI growth in the coming years. Experts predict that the mobile AI market could skyrocket into a $39.91 billion industry, with industry titans Samsung and Intel (NASDAQ: INTC) investing heavily to maintain their competitive edge.

监管科技并不是一个在未来几年人工智能将出现显着增长的孤立行业。专家预测，随着行业巨头三星和英特尔（纳斯达克股票代码：INTC）大力投资以保持竞争优势，移动人工智能市场可能会飙升至 399.1 亿美元的行业。

The social media space is also bracing for a substantial growth surge. However, amidst this technological advancement, regulators are acutely aware of the necessity to keep pace with emerging technologies to protect consumer interests and maintain social order.

社交媒体领域也正迎来大幅增长。然而，在技术进步的同时，监管机构也敏锐地意识到必须跟上新兴技术的步伐，以保护消费者利益和维护社会秩序。

"The FTC has been actively investigating the risks associated with AI utilization, encompassing violations of consumer privacy, automated discrimination and bias, and the potential for deceptive practices, impersonation schemes, and other forms of scams," the U.S. Federal Trade Commission (FTC) declared in November 2023.

美国联邦贸易委员会 (FTC) 表示：“联邦贸易委员会一直在积极调查与人工智能应用相关的风险，包括侵犯消费者隐私、自动歧视和偏见，以及潜在的欺骗行为、冒充计划和其他形式的诈骗。”于 2023 年 11 月宣布。

For AI to operate seamlessly within the confines of the law and flourish in the face of escalating challenges, it requires integration with an enterprise blockchain system that safeguards data input quality and ownership, ensuring data security while simultaneously guaranteeing data immutability. CoinGeek's comprehensive coverage of this emerging technology sheds light on why enterprise blockchain will serve as the bedrock of AI's future.

为了使人工智能在法律范围内无缝运行并在面临不断升级的挑战时蓬勃发展，它需要与企业区块链系统集成，以保障数据输入质量和所有权，确保数据安全，同时保证数据不变性。 CoinGeek 对这一新兴技术的全面报道揭示了为什么企业区块链将成为人工智能未来的基石。