Gartner Expert

Gaurav Gupta

Chief of Research

Dr. Gaurav Gupta is a VP Analyst and Chief of Research in the Emerging Market Dynamics team. Dr. Gupta offers advice across the AI Infrastructure stack, with a focus on semiconductor manufacturing and design value chain including capital spending, advanced process technologies, AI analytics, and chip industry economics and geopolitical impact. Dr Gupta's latest research expands into future energy-efficient AI compute technologies for evolving AI/GenAI workloads, including new paradigms, such as Quantum Computing, Custom Silicon, Liquid Cooling, and Sovereign AI. Additionally, Dr. Gupta has responsibility of being Vendor Lead Analyst for Nvidia.

Previous experience

Prior to joining Gartner, Dr. Gupta worked as a Knowledge Expert at McKinsey & Co. where he advised clients across the globe in the semiconductor and electronics industry with a focus on business transformation (cost, operations, and growth) and product strategy (launch/development/planning). He has a strong technical background in the semiconductor industry in process, yield, R&D, and integration, having worked at Intel and IBM prior to the stint with McKinsey & Co.

Professional background

McKinsey & Co., Knowledge Expert, 2 years

IBM, Advisory Engineer, 4 years

Intel, Senior Engineer, 4 years

Areas of coverage
  • Market Opportunities in Infrastructure and Hardware

  • Market Opportunities in Semiconductors

  • Technology Market Business and Economics

  • Emerging Technologies and Trends Impact on Products and Services

  • AI, Automation and Emerging Technology

Education

Ph.D., Materials Science, University of Michigan, Ann Arbor

B.Tech, Materials Science, IIT Roorkee, India

Read More Read Less

Top Issues That I Help Clients Address

01

Semiconductor chip manufacturing and design supply chain and Roadmap & business model (technology/process) in the semiconductor industry, AI analytics in chip industry

02

AI Infrastructure, including liquid cooling, energy, compute, Sovereign AI, overall technology stack for AI, Inference

03

future of compute with energy and/or power efficiency as a primary incentive

04

Quantum computing - hardware technology, use cases, ecosystem

05

Market trends, forecast and share for semiconductor manufacturing equipment, capex and fab capacity, advanced process technologies, EDA, custom silicon, AI Compute - GPUs and AI ASICs