人工智慧驅動的監管科技將迎來爆炸性成長，預計到 2028 年價值將達到 66.4 億美元

隨著人工智慧 (AI) 的日益普及，研究與市場預測 regtech（監管技術）將推動其採用。監管科技中的人工智慧預計將大幅成長，到 2028 年，將從目前的 13.7 億美元增加到 66.4 億美元，複合年增長率 (CAGR) 為 36.9%。促成這種成長的因素包括即時監控和報告要求、飆升的合規成本以及資料管理的複雜性。

Artificial Intelligence-Driven Regtech Poised for Exponential Growth

人工智慧驅動的監管科技可望呈指數級增長

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.

隨著人工智慧 (AI) 的不斷進步，研究和市場的行業專家預測，監管技術 (Regtech) 將成為人工智慧採用的下一個主要驅動力。

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.

該公司的一份綜合報告預測，人工智慧驅動的監管科技市場的價值將大幅上升，到2028 年，將從目前的13.7 億美元估值飆升至驚人的66.4 億美元。驚人的複合年增長率(CAGR) 36.9%，推動Regtech走在企業合規策略的前端。

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.

該報告將監管科技中人工智慧採用的激增歸因於一系列令人信服的因素，其中最重要的是即時監控和報告以維護消費者利益的必要性。其他關鍵的成長驅動因素包括不斷上升的合規成本以及管理不斷增長的數據集的艱鉅挑戰。

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.

監管科技領域的人工智慧採用軌跡已經呈現出明顯的上升趨勢，市場預測顯示到 2024 年將激增至 18.9 億美元。

"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.

「對預計期間的預測設想機器學習（ML）和自然語言處理（NLP）的廣泛採用，可解釋人工智能（XAI）的集成，預測分析的利用，合規流程的自動化，風險評估和管理，以及建立監管沙箱和創新中心，」報告指出。

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.

尤其是金融業，準備率先採用基於人工智慧的監管科技產品，其中大部分服務以欺騙檢測和反洗錢（AML）工具為中心。近幾個月來，監管審查的激增促使許多公司尋求人工智慧支援的監管科技應用。在英國，監管科技巨頭 CUBE 最近宣布收購行業競爭對手 The Hub，預計該行業將在本世紀末出現繁榮。

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.

這份長達 117 頁的報告指出，北美，特別是美國，是整個調查期間人工智慧驅動的監管科技應用的主要驅動力。儘管如此，預計歐盟 (EU)、中東和東南亞將在未來幾年對採用率做出重大貢獻，這符合遵守全球監管標準的必要性。

AI Revolution Spreads Across Industries

人工智慧革命遍及各行各業

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.

監管科技並不是一個在未來幾年人工智慧將出現顯著成長的孤立產業。專家預測，隨著產業巨頭三星和英特爾（納斯達克股票代碼：INTC）大力投資以保持競爭優勢，行動人工智慧市場可能會飆升至 399.1 億美元的產業。

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.

社群媒體領域也正迎來大幅成長。然而，在技術進步的同時，監管機構也敏銳地意識到必須跟上新興技術的步伐，以保護消費者利益和維護社會秩序。

"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.

美國聯邦貿易委員會(FTC) 表示：「聯邦貿易委員會一直在積極調查與人工智慧應用相關的風險，包括侵犯消費者隱私、自動歧視和偏見，以及潛在的欺騙行為、冒充計畫和其他形式的詐騙。 」於 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.

為了使人工智慧在法律範圍內無縫運作並在面臨不斷升級的挑戰時蓬勃發展，它需要與企業區塊鏈系統集成，以保障資料輸入品質和所有權，確保資料安全，同時確保資料不變性。 CoinGeek 對這項新興技術的全面報導揭示了為什麼企業區塊鏈將成為人工智慧未來的基石。