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Investing in Generative AI, Agentic AI & AI Infrastructure.

This comprehensive report investigates the AI investment landscape across South Asia, focusing on generative AI, agentic AI, and AI infrastructure from 2024 to 2030. It highlights India's lead in AI investments, driven by a strong talent pool and supportive policies. Key insights include the growth of localized language models and the emergence of strategic AI partnerships. The report addresses the challenges of compute scarcity, regulatory uncertainty, and talent constraints while offering actionable recommendations for stakeholders.

Cloud infraGenerative AIML OpsRegulationStartupsTalentVC

AUTHOR

Thunthakron R, Ghost Research

PUBLISHED

2025-12-01

PAGES

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56Pages of Deep Analysis

62Credible Sources Referenced

15Data Analysis Tables

4Proprietary AI Visuals

Perspective.

PurposeTo provide an in-depth analysis of market opportunities and strategic dimensions of AI investments in South Asia.

AudienceInvestors, VCs, corporate innovation teams, policymakers, and AI startup founders.

Report LengthComprehensive

Focus Areas.

Industries JobsAI technology, investment, infrastructure, software development, and enterprise AI.

Geographic AreasIndia, Pakistan, Bangladesh, and Sri Lanka.

Special EmphasisInnovation, policy frameworks, and responsible AI investment.

Report Layout.

Introduction & Research Methodology

Research Scope and Objectives
Data Sources and Limitations
Key Terms and Definitions

South Asian AI Investment Landscape

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Insights.

India leads in AI investment with potential to reach USD 17 billion by 2027.Generative AI is rapidly advancing with localized language models like Sarvam AI.Adoption of agentic AI is nascent but growing, especially in India.The report stresses compute scarcity and talent shortages as major risks.Strategic investment opportunities exist in early-stage startups and infrastructure.

Key Questions Answered.