Taiwanese Firms Sign ₹18,400-Crore Investment Deals with Andhra Pradesh
台灣企業與安得拉邦簽署 1,840 億盧比投資協議
Andhra Pradesh Chief Minister N. Chandrababu Naidu announced on Thursday that the state has secured two major investment agreements worth ₹18,400 crore with Taiwanese firms Allegiance Group and Creative Sensor Inc. The largest of these, an ₹18,000-crore commitment by eJoule India JV—a collaboration between eJoule Inc (USA), Creative Sensor Inc (Taiwan) and Senaste Technologies LLP (India)—will establish India’s first 23 GWh precursor-free single-crystal cathode active material and solid-state electrolyte manufacturing facility at Orvakal in Kurnool district. The project is expected to generate around 2,000 direct jobs. Naidu hailed the MoUs as a significant boost to the state’s industrial development.
In a separate deal, Taiwan-based Allegiance Group will develop a 470-acre industrial park in Kuppam with an investment of ₹400 crore, creating an estimated 50,000 direct and indirect jobs. The agreements signal Andhra Pradesh’s continued push to attract high-value global manufacturing and advanced-materials companies. For non-Indian firms, the deals underscore India’s growing openness to global supply-chain diversification and present a strong case for leveraging the state’s manufacturing-ready infrastructure and policy support for long-term investments.
小編點評：安得拉邦與台灣企業簽署兩項總額達 1,840 億盧比的重大投資協議，其中包括由 eJoule India JV 投資 1,800 億盧比，在庫爾努爾設立印度首座 23 GWh 先進電池材料製造基地，並創造 2,000 個工作機會。此外，Allegiance Group 將投入 40 億盧比於 Kuppam 建設 470 英畝工業園區，預期創造 5 萬個工作機會，凸顯該邦積極吸引全球製造業及供應鏈多元化的企圖。
CN Water, Taiwan’s Taipure Sign MoU to Deliver Advanced Ultrapure Water Systems in India
CN Water 與台純科技簽署合作備忘錄，為印度高科技產業提供先進超純水系統
CN Tech Engineers (CN Water) has entered into a strategic partnership with Taiwan Pure Water Technology Co., Ltd. (Taipure) to strengthen high-purity and ultrapure water (UPW) solutions for India’s fast-growing high-technology industries. The collaboration, formalized through an MoU on November 10, 2025, brings together CN Water’s on-ground execution capabilities and Taipure’s engineering expertise to deliver next-generation UPW and water-recycling systems for sectors such as semiconductors, green energy, EV batteries, and precision manufacturing. As part of the agreement, CN Water will lead project identification, tender participation, and site execution, while Taipure will support design engineering, strategic sourcing, and commissioning for semiconductor-grade water systems.
The partnership comes at a time when India is rapidly scaling its semiconductor and high-tech manufacturing ambitions under national initiatives like Make in India and self-reliance in advanced technologies. For non-Indian companies, the collaboration highlights significant opportunities in India’s expanding industrial ecosystem—particularly in specialized infrastructure such as ultrapure water, sustainability-driven water reuse, and clean-energy support systems. The companies also plan joint marketing and industry outreach to promote high-efficiency UPW and reclaim technologies tailored for globally competitive manufacturing.
https://www.pharmabiz.com/NewsDetails.aspx?aid=182416&sid=2
小編點評：CN Water 與台灣純水科技簽署合作備忘錄，將為印度半導體、綠能、電動車電池與精密製造產業提供先進的超純水與回收系統。此合作結合 CN Water 的執行能力與台純的工程支援，並推廣高效率的 UPW（超純水）解方，呼應印度高科技製造加速成長的趨勢。
Government Notifies DPDP Rules 2025, Sets Stage for New Data Protection Regime
政府發布《DPDP 2025 數位個人資料保護規則》，啟動印度新資料保護架構
The Union Ministry of Electronics and Information Technology on Friday notified the Digital Personal Data Protection (DPDP) Rules 2025, initiating the operational framework for India’s new data-protection regime. The rules will enable the formation of a Data Protection Board empowered to levy penalties based on the severity of data breaches. While certain provisions take effect immediately, major requirements — such as registration and obligations of consent managers, mandatory notices for data processing, and other key compliance norms — will be phased in over 12–18 months. The rules aim to give citizens greater control over their personal data, help curb spam calls and unauthorized digital access to personal information, and mandate clear, prompt breach notifications outlining the incident, its impact, and corrective steps. The framework also restricts data retention to one year unless legally required and obligates platforms to alert users 48 hours before erasing their personal data.
The DPDP Act 2023 provides for penalties of up to ₹250 crore per breach, with graded safeguards for smaller businesses. The rules mark a major milestone eight years after the Supreme Court affirmed privacy as a Fundamental Right in 2017. For non-Indian companies operating in India, the notification underscores the need for robust compliance systems, including encryption, breach-response mechanisms, transparent consent processes, and stricter governance of data flows. The phased rollout offers a limited transition window, making early alignment with India’s data-protection architecture critical for continued market access.
小編點評：印度電子與資訊科技部正式發布《DPDP 2025》規則，建立新的資料保護制度，並將在 12 至 18 個月內分階段落實，對每次資料外洩最高可處 25 億盧比罰款。該規則提升人民對個資的掌控權，要求嚴格的外洩通報制度，也提醒全球企業務必加速符合印度資料治理的新法規要求。
Reliance to Build 1-GW AI Data Center in Andhra Pradesh, Expanding India’s AI Infrastructure
信實工業（Reliance）將在安得拉邦建設 1GW AI 資料中心，擴大印度 AI 基礎建設
Reliance Industries plans to establish a 1-gigawatt AI data center in Andhra Pradesh, Chief Minister N. Chandrababu Naidu announced on Friday, marking another major addition to India’s fast-expanding digital infrastructure. While financial details were not disclosed, the project will serve as a twin to Reliance’s gigawatt-scale AI data center in Jamnagar, Gujarat, creating what Naidu described as one of Asia’s strongest AI infrastructure networks. The announcement comes amid a surge in global investments to meet soaring demand for AI computing capacity. India, with nearly a billion internet users, has emerged as a critical market, with Google recently pledging $15 billion for an AI data center in the same state—its largest investment in the country—alongside significant expansions by Microsoft and Amazon.
Reliance’s push reflects the strategic importance of high-performance compute clusters capable of linking thousands of chips for advanced AI workloads. The conglomerate, led by billionaire Mukesh Ambani, spans telecom, retail, media, and energy, positioning it uniquely to integrate AI across sectors. For non-Indian companies, the announcement signals the acceleration of India’s AI readiness and highlights opportunities for partnerships in cloud infrastructure, semiconductor hardware, thermal management, and power solutions needed to support hyperscale data centers. The move reinforces India’s role as a key market for AI-driven technologies and a growing hub for global digital infrastructure.
小編點評：信實工業將在安得拉邦建設 1GW AI 資料中心，與其古吉拉特邦 Jamnagar 的中心互補，形成亞洲最強 AI 基礎設施之一。全球科技巨頭如 Google、Microsoft、Amazon 均加碼投資印度，顯示 AI 需求迅速上升，也為雲端、半導體與資料中心供應商帶來重大合作機會。
Tech Industry Seeks Flexibility on India’s Proposed AI Content Labelling Rules
科技產業呼籲政府放寬 AI 內容標示規範
India’s technology sector is urging the Ministry of Electronics and Information Technology (MeitY) to rethink proposed amendments that would mandate visible labels on AI-generated visuals and audio. Under the draft rules, visuals must carry a marker covering at least 10% of the display area, while audio must include a disclaimer for the first 10% of its duration. Industry groups including Nasscom and BSA argue that such prescriptive requirements could hinder innovation, impose heavy compliance costs on startups, and be technically impractical to implement. They have called for clearer definitions of synthetic content, a focus on harmful or malicious media rather than all algorithmically generated material, and the use of machine-readable markers aligned with global standards such as C2PA.
The proposals also tighten due-diligence obligations for major platforms like YouTube, Meta, X, and ShareChat, requiring them to verify user declarations and clearly label AI-generated content or risk losing safe-harbour protections. Industry representatives warn that visible watermarks can be easily removed, potentially making Indian content less competitive globally, and could lead to greater moderation errors. For non-Indian companies, the draft framework signals a significant shift in India’s AI governance landscape, underscoring the need to align product design, content workflows, and compliance systems with India’s evolving rules. The public consultation on the proposal closes on November 13, with implementation timelines still to be decided.
小編點評：印度科技產業呼籲 MeitY 修訂草擬的 AI 內容標示規則，認為其要求的視覺與音訊醒目標示過於僵化，恐抑制創新並提高成本。新規同時強化大型平台的盡職審查義務，象徵印度 AI 管治邁向重大變革，迫使全球科技企業調整產品設計與合規流程。
India’s Exports to US Rebound Despite Tariffs as Trade Talks Gain Momentum
儘管關稅壓力存在，印度對美國出口回升，貿易談判取得進展
India’s goods exports to the United States rose in October for the first time in five months, jumping 14.5% from September despite steep tariffs imposed by the Trump administration—including a 50% levy that took effect on 27 August, partly driven by a 25% penalty over India’s purchase of Russian oil. The rebound comes after a sharp drop in September and coincides with improving diplomatic and commercial engagement between the two countries. Indian state-run oil companies have agreed to increase imports of liquified petroleum gas (LPG) from the US, while Washington has granted tariff exemptions on several farm products, measures expected to provide relief to Indian exporters. Trade negotiations are reportedly progressing quickly, with a senior official indicating that key elements of the first phase of a deal are “more or less near closure.”
The uptick in US-bound shipments stands out against India’s broader export decline—down 11.8% year-on-year in October, with 15 of its top 20 markets registering reduced trade. Ajay Srivastava of the Global Trade Research Initiative noted that tariff-exempt sectors like smartphones and pharmaceuticals may have performed relatively better, though the assessment remains preliminary. Despite the October improvement, exports to the US have fallen 28.4% between May and October, erasing over $2.5 billion in monthly value. Still, easing trade tensions, growing US demand for energy cooperation, and Washington’s rollback of reciprocal tariffs on products such as tea, coffee, and spices—benefiting about $1 billion worth of Indian agricultural exports—signal renewed momentum. For non-Indian companies, the shifting tariff landscape and improving trade environment indicate potential opportunities to expand supply-chain integration with India as the US-India economic corridor stabilizes.
https://www.bbc.com/news/articles/cy7erx7440mo
小編點評：印度對美出口在 10 月成長 14.5%，為五個月以來首次反彈，部分得益於美國對部分農產品的關稅豁免及能源合作增加。雖然整體出口仍下滑，但貿易緊張關係正緩解，談判進度加速，為印美供應鏈整合帶來新契機。
Indian Enterprises Shift from AI Pilots to Performance as Speed Becomes Key Competitive Edge: EY–CII Report
印度企業從 AI 試點走向實際部署，「速度」成為核心競爭力 — EY–CII 報告
India’s enterprise AI ecosystem has reached a decisive turning point, with nearly half of Indian companies now running multiple Generative AI (GenAI) use cases in production, according to the EY–CII report Is India Ready for Agentic AI? The AIdea of India: Outlook 2026. The study finds that 76% of business leaders expect GenAI to have a significant impact, and 63% say they feel ready to adopt it effectively. Speed has emerged as the top strategic priority, with 91% of leaders citing rapid deployment as the main factor driving “buy versus build” decisions. Over the next year, GenAI investments are expected to concentrate on operations (63%), customer service (54%), and marketing (33%) as enterprises move from experimentation to embedding AI in core workflows. Yet, the report highlights a persistent “investment paradox”—over 95% of firms still allocate less than 20% of their IT budgets to AI, despite high conviction in its transformative value.
Partnerships with startups and OEMs are becoming critical to this shift, with nearly 60% of enterprises co-innovating to accelerate deployment and 78% adopting hybrid execution models. As companies operationalize agentic AI frameworks, workforce structures are also evolving: 64% report selective transformation in standardized roles, even as 59% face shortages in skilled AI talent. Enterprises are increasingly adopting “AI-first architectures of work,” where human–machine collaboration drives efficiency, decision-making, and speed. For non-Indian companies, the findings signal a rapidly maturing AI market in India—and expanding opportunities for global technology vendors, cloud providers, automation platforms, and AI talent partners to integrate into India’s emerging enterprise AI stack.
小編點評：印度企業 AI 生態系統邁入關鍵階段，近半企業已在多領域導入生成式 AI，並將「部署速度」視為主要競爭優勢。雖然企業 IT 預算在 AI 項目的佔比仍偏低，但與新創與 OEM 的協同創新加速成為主流，為全球科技供應商在印度的 AI 市場帶來巨大商機。