Gartner Expert

Rithvik Kumar

Principal Analyst

As a Principal Analyst on the Emerging Market Dynamics team, Rithvik advises clients on the trajectory of the AI model market, specifically LLMs and DSLMs. His coverage exposes the drivers of market growth by identifying specific levers such as unit economics and competitive positioning that separate market leaders from challengers. Rithvik's insights are shaped by ongoing conversations with tech vendors and users, as well as market data. He helps clients understand emerging tech trends and make informed bets.

Previous experience

In his previous role, Rithvik was an advisor to companies in the renewable energy sector - across solar, wind, and emerging segments like green hydrogen and energy storage. His expertise covers clean energy finance, technology adoption (automation, drones for solar), and policy in India's RE sector.

Professional background

India Infrastructure Publishing Limited, Research Associate - Renewable Energy Sector , 1 years

Areas of coverage
  • Tech Buying Priorities and Motivations

  • Technology Market Economics

  • Emerging Technologies and Trends Impact on Products and Services

Education

MS. Economics, TERI School of Advanced Studies, New Delhi

BS, Economics, Mathematics, Statistics, St. Joseph's University, Bangalore

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Top Issues That I Help Clients Address

01

Evaluating LLMs/DSLMs for application development. Ensuring the underlying architecture supports enterprise-grade performance, privacy, and accuracy guarantees.

02

Structuring profitable pricing frameworks for AI applications. Aligning token economics and provisioned throughput with verifiable SLAs and performance guarantees

03

Setting Up A Sales Process. Accelerating enterprise GTM motions for AI applications

04

Capturing the edge AI market. Strategizing the commercial deployment of compressed AI models (like tiny transformers) into robotics, wearables, and industrial IoT

05

Crafting competitive SLA frameworks to win enterprise deals. Defining market standards for model accuracy thresholds, data privacy, and system uptime guarantees.