The Complete Guide to Using AI in the Real Estate Industry in Taiwan in 2025

AI is reshaping Taiwan's real estate landscape in 2025: global AI-in-real-estate investment is surging (the market hits about $301.6B in 2025 with a blistering ~34.1% CAGR), turning tools like automated valuations, virtual staging and AI-powered fraud detection into everyday competitive advantages for brokers, developers and asset managers (Global AI in Real Estate market report (2025)).

At the same time Taipei's policy and regulatory scene is moving fast - the Draft AI Act, MODA's evaluation frameworks and sector guidance aim to balance innovation with privacy, explainability and liability rules that real estate teams must factor into procurement and contracts (Taiwan AI law and practice guide (2025)).

The practical takeaway: firms that pair AI tools with clear governance and trained staff will win deals and cut costs - teams can start by building workplace AI skills (see Nucamp's AI Essentials for Work bootcamp for a step-up path to practical prompts and workflows - Register for Nucamp AI Essentials for Work bootcamp).

Metric	Value (source)
Global AI in Real Estate (2025)	$301.58 billion
CAGR (2025–2029)	34.1%
Taiwan life insurers using AI (FSC 2025 survey)	67%

Taiwan's 2025 real‑estate outlook is increasingly shaped by AI: domestic market forecasts still show steady, regionally varied growth (Next Move Strategy Consulting puts the Taiwan market at USD 199.1M in 2023, rising toward USD 317.6M by 2030 at a 6.9% CAGR - see the Next Move Taiwan real estate market forecast), while the global AI‑in‑real‑estate universe is exploding (the Global AI in Real Estate market report (2025 estimate) estimates $301.58B in 2025 with a ~34.1% CAGR), creating pressure and opportunity for local brokers, developers and proptechs to adopt AI for automated valuations, virtual tours, asset management and customer analytics.

On the demand side, Taiwan's export and tech cycle - especially semiconductors and data‑centre investment - is lifting industrial and logistics real estate, even as tighter central‑bank credit controls and anti‑speculation measures cool transactions and trim short‑term investor activity; regional divergence matters more than ever, with Taipei holding value while some peripheral markets consolidate.

The practical takeaway: AI‑driven price engines and computer‑vision tools can compress complex comparables and listing prep into far faster, data‑backed workflows, but teams must balance speed with the local policy and trade risks that also shape 2025 outcomes.

Metric	Value (source)
Taiwan real estate market (2023)	USD 199.1 million (Next Move Taiwan real estate market report)
Taiwan market forecast (2030)	USD 317.6 million (Next Move Taiwan real estate market report)
Global AI in real estate (2025)	USD 301.58 billion (Global AI in Real Estate market report)
Global AI CAGR (2025–2029)	34.1% (Global AI in Real Estate market report)

“The Taiwan economy has been one of the biggest beneficiaries of the AI boom.” - Bum Ki Son, Barclays (reported in Taiwan Business TOPICS)

Market forecasts in 2025 show a fast‑moving global AI wave and a more measured but accelerating rise in Taiwan: global estimates put the AI market at roughly US$224.4 billion in 2024 with a long‑term climb toward US$1.24 trillion by 2030 (CAGR ~32.9%) according to the NextMSC artificial intelligence market report, and other analysts peg 2025 market size near US$294 billion as the build‑out of generative AI and data‑centre demand kicks in (Fortune Business Insights AI market forecast).

Taiwan's story is more local and strategic: the island's generative AI segment was modest in 2024 (about US$58.44M) but could reach roughly US$301M by 2033 at an 17.8% CAGR, driven by government programs and startup investment, while broader forecasts see Taiwan scaling into multi‑billion territory as semiconductors and national supercomputing lift capacity - TSMC's role (over 60% share of advanced chip production) and policy pushes to train hundreds of thousands of AI professionals make Taiwan's platform uniquely hardware‑anchored and policy‑savvy (IMARC Taiwan generative AI market report, DataCube Taiwan AI market outlook).

For real‑estate teams that means planning for rapid vendor innovation on the supply side, steady local adoption curves, and clear talent and governance investments on the demand side.

Metric	Value (source)
Global AI market (2024)	US$224.41 billion (NextMSC)
Global AI market forecast (2030)	US$1,236.47 billion (NextMSC)
Taiwan generative AI market (2024 → 2033)	US$58.44M → US$300.98M; CAGR 17.81% (IMARC)
Taiwan AI market projection	Projected to surpass US$6.3 billion by 2033 (DataCube)

“Taiwan's AI journey is no longer about catching up - it's about leading responsibly. By combining unmatched semiconductor capabilities, forward-thinking AI regulation, and strategic global alliances, Taiwan is building a future-proof AI economy.” - David Gomes, DataCube

Taiwan's 2025 AI strategy is intentionally orchestral: MODA and allied ministries are building the pipes and score so industry can play the tune - five practical policy levers (computing power, data, talent, marketing and funding) prioritize real‑world adoption while keeping an eye on risk and explainability (DIGITIMES summary of MODA's five AI policy tools).

Concrete moves include free GPU time for startups to validate PoCs, a Sovereign AI Training Corpus that will fold in Mandarin, Taiwanese, Hakka and Indigenous languages for locally grounded models, and a NT$10 billion investment program to scale startups and market linkages - backed by cross‑agency plans that leverage Taiwan's chip and supercomputing strengths such as TAIWANIA‑2 and the TAIDE model (MODA press release on Taiwan AI initiatives and the Sovereign AI Training Corpus; Lee and Li legal overview of Taiwan's AI strategy and regulatory framework).

The playbook mixes incentives (funding, market matchmaking), sovereign data and testing sandboxes with new evaluation and certification pathways, while the Draft AI Basic Act and tighter data governance aim to keep deployments accountable - picture a localised LLM trained on court decisions and Hakka folklore sitting beside a validated property‑valuation engine used by brokers.

The practical result for real‑estate teams: partner with vetted vendors, insist on evaluation‑centre certification and plan talent upskilling now to turn policy energy into deal‑winning AI products.

Sovereign AI Training Corpus

Draft AI Basic Act

Initiative	2025 detail (source)
Five policy tools	Computing power, data, talent, marketing, funding (DIGITIMES)
Free GPU program	Support for startups' PoC development (DIGITIMES)
Sovereign AI Training Corpus	Includes Hakka and Indigenous languages; public datasets for local models (MODA / DIGITIMES)
Funding & major plans	NT$10 billion program (NDF/MODA) + NT$200 billion AI New Ten plan for broader AI infrastructure (NDC / TechSoda)

Taiwan's new AI legal architecture in 2025 is a hybrid of principle-driven lawmaking and sectoral guidance: the NSTC's Draft AI Basic Act (released for comment in July 2024) sets out seven core principles - sustainable development, human autonomy, privacy and data governance, security, transparency, fairness and accountability - and asks ministries to translate those principles into risk‑based rules, sandboxes and supervisory measures so that sector regulators (finance, healthcare, transport, etc.) can police high‑risk uses locally (Lee and Li practice guide on Taiwan AI law).

Implementation levers already in play include MODA's mandate to develop an AI risk classification, an AI Product and System Evaluation Centre to drive certification and testing, and plans for open, sovereign datasets to keep models grounded in Taiwan's languages and culture - while existing laws like the PDPA, copyright rules and recent FSC guidance remain binding on deployers and buyers (AmCham/TOPICS explainer on the AI Basic Act).

The result is pragmatic but patchwork: expect auditors and brokers to demand evaluation‑centre labels on valuation engines, legal teams to tighten PDPA and IP clauses, and procurement to insist on traceability and human‑in‑the‑loop controls before rolling out any automated decisioning - little changes in contract language now will avoid big liabilities later.

Feature	Draft detail (source)
Core principles	Sustainability, autonomy, privacy, security, transparency, fairness, accountability (NSTC draft)
Regulatory lead	MODA to develop AI risk classification; sector agencies enforce (Executive Yuan/NSTC)
Evaluation & certification	AI Product and System Evaluation Centre for testing and certification (MODA / Lee and Li)

“Taiwan's AI industry must deploy ahead - not just regulate, but actively promote R&D and innovation.” - Legislator Ko (JU CHUN KO)

Data protection in Taiwan shapes how real‑estate teams collect biometrics and run automated decisioning: the Personal Data Protection Act (PDPA, amended May 31, 2023) treats identifiers such as special traits and fingerprints as personal data and treats CCTV or any imagery that can identify a person as PDPA‑protected, so using face‑matching or fingerprint checks for identity verification requires careful notice, purpose limitation and - where truly sensitive data is involved - consent (DLA Piper Taiwan data protection laws overview).

Taiwan does not impose a blanket requirement to appoint a DPO, but sector rules (finance, healthcare) often demand designated security personnel and concrete security plans; breach notification and robust technical controls are mandatory and authorities can levy administrative fines or criminal penalties for serious lapses (ICLG Taiwan data protection laws and regulations 2025).

Notably, the PDPA does not currently set explicit limits on solely automated decision‑making or offer AI‑specific guidance, so property valuation engines, automated KYC and fraud‑detection tools should be deployed with human‑in‑the‑loop checks, transparent audit trails and explicit PDPA notices to minimise legal and reputational risk - think of a valuation model that can explain a recommended price to a seller the way a broker would.

For teams building identity or fraud workflows, pair technical safeguards with clear consent mechanics and vendor assurances to stay compliant while unlocking AI efficiency (Fraud detection and identity verification best practices for Taiwan real estate).

Rule	Practical implication for Taiwan real estate
Sensitive personal data / biometrics	Treated as personal data; consent/notice required for collection (DLA Piper)
Data Protection Officer	No general DPO mandate; sector rules may require designated personnel (DLA Piper / ICLG)
Automated decision‑making	No explicit PDPA limits or AI guidance - use human‑in‑the‑loop and explainability (ICLG)
Cross‑border transfers	Restricted in specific national‑interest cases; check agency rules before sending data abroad (DLA Piper / AWS)
Enforcement	Breach notification, admin fines and possible criminal sanctions for serious violations (DLA Piper / ICLG)

Taiwan's 2025 proptech story is pragmatic: expect rapid wins from a handful of practical AI patterns - virtual staging that slashes marketing spend and can turn an empty Taipei “shoebox” apartment into a sunlit, furnished listing in minutes; chatbot and voice‑bot lead qualification for 24/7 enquiries; computer‑vision inspection and CCTV analytics to speed property surveys and tenant‑issue triage; digital‑twin models that optimise facilities and logistics; and fraud‑detection plus identity‑verification flows that harden transactions and KYC processes.

Local vendors already map to these use cases (computer‑vision firm Viscovery for video analytics, digital‑twin and synthetic‑data specialist MetAI Yujian, voice/NLP player Aiello and speech‑tech Cyberon), and buyers should look for products vetted through Taiwan's emerging AI Product and System Evaluation Centre and governance playbook to reduce procurement risk (see the Lee & Li practice guide on Taiwan AI law and MODA's evaluation plans).

For teams starting pilots, prioritise explainability, human‑in‑the‑loop gates and proven fraud checks - Nucamp's fraud‑detection prompts and virtual‑staging notes offer quick operational templates to run compliant PoCs while vendors iterate in Taiwan's fast‑moving AI ecosystem.

Vendor / Initiative	Proptech use case	Source
Viscovery	Computer vision for video surveillance, retail/asset analytics	Tracxn - Top AI Companies in Taiwan (AI startups list)
MetAI Yujian Intelligent Technology	Digital twin, synthetic data for operations & predictive maintenance	Tracxn - Top AI Companies in Taiwan (AI startups list)
Aiello	Voice/NLP bots for tenant services and hotel/short‑stay operations	Tracxn - Top AI Companies in Taiwan (AI startups list)
Cyberon	Speech recognition and voice interfaces for customer support	Tracxn - Top AI Companies in Taiwan (AI startups list)
MODA / AI Evaluation Centre	Testing, certification and evaluation framework for AI products	Lee & Li - Taiwan AI Practice Guide (AI law & MODA evaluation)

Start small, stay compliant and scale with guardrails: a practical Taiwan roadmap begins with board-level governance and documented due diligence that references the Draft AI Basic Act principles and fiduciary duties, then maps each use case to MODA's risk taxonomy so teams know whether a valuation engine is “limited,” “high” or subject to certification; next, run constrained pilots inside regulatory sandboxes or PoCs (the FinTech and Unmanned Vehicle sandbox models are useful precedents) while logging datasets, labels and decision trails for traceability and PDPA review, and insist on human‑in‑the‑loop gates so any automated price recommendation can

“explain a recommended price to a seller the way a broker would.”

Choose vendors that are ready for Taiwan's AI Product and System Evaluation Centre testing, build procurement contracts with IP, liability and data‑transfer clauses, and mandate breach‑notification and audit rights; train staff on PDPA limits for biometrics and consent flows, and certify operational handovers only after external evaluation and routine model‑drift checks.

The timeline: months 0–3 governance & legal scoping, 3–9 pilot & sandbox testing, 9–18 certification and scaled rollout with continuous monitoring; keep the AI playbook lean, document every test, and treat a validated pilot like a signed lease - small, durable evidence that opens the door to larger deployments.

For practical detail on Taiwan's evaluation centre and action plan see the Lee & Li practice guide on Taiwan AI law and the AI Taiwan Action Plan 2.0 guidance from STLI.

Step	Action	Source
Governance	Board sign‑off, legal & fiduciary scoping	Lee & Li Taiwan AI law practice guide (2025)
Risk & PDPA mapping	Classify AI risk; plan consent for biometrics/data	Law.asia Taiwan AI strategy and legal framework overview
Pilot & sandbox	PoC in regulatory sandbox; log datasets & decisions	STLI AI Taiwan Action Plan 2.0 guidance
Certification	Submit for AI Product & System Evaluation Centre testing	Lee & Li Taiwan AI law practice guide (2025)

Contracts for Taiwan AI deployments must treat legal hygiene as a business enabler: start with clear procurement and governance clauses (private parties enjoy freedom of contract, public tenders follow the Government Procurement Act) and build in explicit IP assignment and licensing terms because, absent agreement, suppliers typically retain patent and copyright ownership - patent transfers should be recorded at TIPO to protect third‑party rights (ICLG Taiwan technology sourcing guide 2025).

Limitations of liability are permitted but cannot exclude responsibility for intentional or gross negligence, and one‑sided standard terms that unduly strip buyers' rights may be void, so draft balanced caps, warranties and indemnities.

Data clauses must map to the PDPA and cloud rules: require data processing agreements, supervisory and audit rights, explicit cross‑border transfer terms, retention/deletion schedules and a contractual deletion certificate on termination (financial-sector rules often mandate deletion and local backups), plus a 72‑hour breach notification pathway for PDPA incidents and tighter CMA reporting where applicable (Lee, Tsai & Partners cloud computing and PDPA guidance for Taiwan).

Practical must‑haves: SLAs and acceptance tests, human‑in‑the‑loop and explainability obligations for automated decisions, escrow/exit and data‑migration plans, audit and remediation rights, and vendor security standards (ISO/IEC 27001 or NIST).

Finally, hardwire fraud‑detection and KYC warranties into contracts so transaction controls are enforceable - think of a signed deletion certificate as the vendor handing back the keys to the digital data room (Nucamp Cybersecurity Fundamentals syllabus (fraud detection & identity verification)).

Checklist Item	Why it matters	Source
IP assignment & patent recording	Clarifies ownership; record patents at TIPO to protect against third‑party claims	ICLG Taiwan technology sourcing guide 2025
Liability caps & unfair terms	Allows limits except for intentional/gross negligence; avoid void standard clauses	ICLG Taiwan technology sourcing guide 2025
PDPA & cross‑border clauses	Specify consent, transfer restrictions, retention, deletion and 72‑hour breach notice	Lee, Tsai & Partners cloud computing and PDPA guidance for Taiwan
SLAs, acceptance & exit	Defines performance, acceptance testing, data return/migration and deletion certificates	Lee, Tsai & Partners cloud computing and PDPA guidance for Taiwan
Security, audits & certifications	Audit rights, ISO/NIST standards and remediation obligations reduce operational risk	ICLG Taiwan technology sourcing guide 2025
Fraud/KYC & compliance warranties	Contractual controls make transaction protections enforceable	Nucamp Cybersecurity Fundamentals syllabus (fraud detection & identity verification)

Conclusion: Taiwan's AI transition in real estate is now a race to pair speed with safeguards - adopt AI to gain efficiencies like virtual staging and automated valuations, but lock every step to PDPA rules and the new supervisory architecture.

10‑point action checklist for Taiwan real‑estate teams: 1) Map your personal data flows and inventories to PDPA requirements (rights, retention, cross‑border limits) using automated tooling where possible (PDPA compliance best practices for Taiwan); 2) Designate a data‑protection lead and privacy specialists now (public bodies will require DPOs and the PDPC is being stood up); 3) Track the PDPA amendment timeline and prepare to interface with the new PDPC (drafts aim to establish an independent regulator by August 2025 - see the STLI update on the PDPA amendment and PDPC launch PDPA amendment & PDPC launch details); 4) Classify AI use cases by risk (follow MODA/NSTC risk principles and the draft AI Basic Act guidance); 5) Start constrained pilots in regulatory sandboxes and log datasets, labels and decision trails; 6) Require human‑in‑the‑loop gates and explainability for valuation and automated decisioning; 7) Build vendor contracts with PDPA‑aligned DPA clauses, breach notification, deletion certificates and audit rights; 8) Harden identity and fraud workflows to PDPA standards (automate DSRs, portability and erasure processes where possible); 9) Train teams on prompt design, governance and incident response (consider practical upskilling via Nucamp's AI Essentials for Work - Register for the AI Essentials for Work bootcamp); 10) Treat certification from Taiwan's AI Evaluation Centre and routine model‑drift checks as procurement preconditions - small, documented steps now protect deals and reputations later.

Bootcamp	Length	Early-bird Cost	Register
AI Essentials for Work	15 Weeks	$3,582	Register for AI Essentials for Work (15 Weeks)