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User: Srinivas Obili
The MarketGlassTM Platform

64+

Million Domain Expert Citations

307+

Million Total Citations with Full-Text Transcripts

307+

Data Rooms Configured to Each Research Project

Our platform has constantly evolved with learnings and adoption of new evolving technologies and tools. We're always learning from user experiences and feedback. Our MarketGlass™ platform enables enterprise-level B2B peer-to-peer and cross enterprise engagements, uniquely unlocking executive curiosities and drawing upon their domain knowledge. We are proud to claim early adoption of artificial intelligence in our research methodologies which draw exclusively from our curated and fully validated proprietary data rooms. We do not use Generative AI which is riddled with hallucinations. LLM trained data is not current and expert opinions suggest that it will be a few years before the LLM hallucinations are mitigated to acceptable levels of error tolerance.

Primary Research

We're currently tracking 4.7 million domain experts across 1.7+ Million companies worldwide that are fully profiled and prepped for our ongoing research projects.

Bartered Enrichments

Executives from competing companies profiled in our study can support our ongoing research programs with market share and revenue details for their company to receive complimentary data exchange in the form of a truncated report.

Enterprise-Insider

Our platform encourages participants to collaborate with colleagues within their enterprise. If the host participant chooses to purchase a license, we extend complimentary copies to all participating colleagues (10-user limit).

Across-Enterprises

Our platform masterfully draws out individual perspectives from executives at competitive companies and places such data in primary data clusters without identifying individuals or companies.

Knowledge Center & Historic Data

We constantly build upon a strong layer of pre-existing original data. Our second-generation release has been tested and used by more than 47,000 domain experts during 2024. More than 10,500 of our current ongoing projects offer a 10-year historic review.

Project-focused Research Never Stops!

Our ongoing research process helps to continuously obtain improved results and tighter tolerances. With each update, the project effectively moves up the value chain, yielding unique perspectives.

INVESTMENT RESEARCH
THE BEST ROI FOR YOUR TIME - GUARANTEED!
  • Domain Expert Panels
  • Bespoke Report Generation
  • Create & Publish Blogs
  • Powerful Knowledge Center
  • AI-Driven B2B Research
  • Create & Publish Podcasts
  • Domain Expert Validated
  • Audit Enabled Programs
  • Track Domain Events
  • Peer Collaborations
  • Trending Market Intelligence
  • LinkedIn & Twitter Sharing
  • Enterprise Cluster Views
  • Custom Configured Newsfeeds
  • Research Program Previews
  • Interactive Questionnaires
  • Track Competitive Brands
AI ADOPTION FOR BUSINESS STRATEGY

Competitive Relevance

Countries, industries, companies, and individuals will be impacted whether they’re ready or not. Staying plugged into the rapidly transformative environment is critical for competitiveness and relevance.

Understanding AI

Understanding AI isn’t just about training models. It’s about knowing the full AI stack. As AI adoption evolves, companies need end-to-end AI decision-making solutions that align:

  • Data
  • Models
  • Infrastructure
  • Strategic Business Objectives

AI and Synthetic Data

According to multiple credible sources, more than 60% of all data on internet will be synthetically generated by 2025. This implies a significant portion of Large Language Models (LLMs) could potentially be trained on synthetic data.

Key Questions:

  • Why would any credible business decision-maker trust AI-generated synthetic data that’s predominantly drawn from 60%+ synthetic data?
  • Can enterprises trust content generated out of thin air that doesn’t offer any credibility or validation of original sources?

Challenges in AI Adoption

Challenge Description
Ground Reality Text-to-SQL is one of the most prevalent enterprise applications of LLMs. Disparities in AI agent accuracy question the integrity of generated data.
Data Privacy Security of proprietary data remains a major concern for CIOs. There is a trust gap between enterprise expectations and service provider claims.
LLM Limitations Performance metrics for LLM-based text-to-database solutions vary widely, leading to qualitative inaccuracies and inconsistent business insights. Know the real limitations of LLM-based text-to-database (SQL in our case). Evaluation metrics used to assess the performance, accuracy, and conversational business expression vary widely on relevance to real-world applications. Each of the 7 leading agentic tools we studied have a range of qualitative inaccuracies.

AI DEPLOYMENTS IN OFF-THE-SHELF MARKET RESEARCH

Current Adoption of Artificial Intelligence by Majority of Publishers

Industry Practices

Publishers Primary Secondary None LLM-AI
237 8 43 186 216

Total unique topics studied: 28,000

LLM & SLM (Domain) Perils

  • High % of Synthetic Data
  • Low % Validated Sources
  • No Source Authentication

Tested & Rated LLMs

Note: Percentage Relevance Factor (PRF) based on standard set of:

  • 37,000 prompt keywords and business segments (most product and service categories).
  • 1,370 leading companies representing all major industries and geographies.

General Observation

  • None of the models offer any mechanism to exclude synthetic data from real data.
  • Prompt engineering is still early in the fine-tuning process.
  • Contextual summarization and business expression is better with Google Gemini and ChatGPT 4o1. We use both. We just started deployments with DeepSeek R1, and results are mixed. More work will shed better light in coming weeks.
INDUSTRY GROUP SYNTHETIC DATA MIX TREND
BUSINESS SECTOR 2024 (%) 2027 (+2) (%)
3D Printing 35-40 80+
Abrasives 55+ 80+
Adhesives & Sealants 40-45 80+
Advanced Technologies 35-50 80+
Advertising, Media & Broadcasting 65+ 90+
Aerospace & Aviation 50-55 80+
Agriculture & Allied Industries 70+ 95+
Agrochemicals 55-65 95+
Airlines & Airports 30-45 80+
Alcoholic Beverages 60-70 95+
Appliances 65+ 90+
Aquaculture 70-75 95+
Auto Parts & Accessories 50+ 80+
Automotive 35-45 80+
Banking & Finance 50-60 90+
Bearings 45+ 80+
Beer 60-70 95+
Biometrics 30-50 80+
Biotechnology 60-80 95+
Blockchain 40-45 80+
Chemicals & Minerals 35-55 80+
Clean Technologies 45+ 80+
Clinical Diagnostics 75+ 95+
Cloud Technologies 30-55 80+
Communications Technology 35-45 80+
Construction Industry 40+ 80+
Consumer Products 70+ 90+
Data Centers 40-50 80+
Defense & Related 50-65 80+
Department Stores 55+ 90+
Drones 30-55 80+
EduTech 40-45 80+
Electrical & Electronics Equipment 35-50 80+
Electronic Security 35+ 80+
Energy 40-60 80+
Eyeglasses 65+ 95+
Fiberoptics 35-50 80+
Financial Services 55-60 90+
Food & Beverage 70+ 95+
Food Services 60-75 95+
Food Supermarkets 70+ 95+
Footwear 65-80 90+
Furniture 70-75 90+
Gaming 30-55 80+
Garments & Textiles 60-70 90+
Glass 40+ 80+
Green Products 50-65 80+
Healthcare 80+ 95+
High Tech 25-40 80+
Home Improvement 70+ 90+
Hospitals 65-75 95+
Hotels and Hospitality 60-80 90+
Household Products 65+ 90+
Industrial 40-50 80+
Industrial Supplies & Accessories 35-50 80+
Information Technology 40-45 80+
Insurance Industry 55+ 90+
Internet & Online 30-50 80+
IT Services 40-45 80+
Laboratory Equipment and Supplies 65+ 95+
Lasers 35-40 80+
Leisure and Entertainment 75+ 90+
Logistics 55+ 80+
Luxury Goods 60-80 90+
Machine Tools 45-55 80+
Machinery 40-60 80+
Manufacturing Automation 35-50 80+
Medical Disposables 65+ 95+
Medical Equipment & Supplies 70+ 95+
Medical Products 65-70 95+
Merchandising 65+ 90+
Metals & Metal Products 55-65 80+
Mhealth 70-80 95+
Nanotechnology 40-55 80+
Nutraceuticals 75+ 95+
Online Learning 45-55 80+
Packaging 50-70 80+
Paints and Coatings 40-45 80+
Personal Care 65+ 90+
Pet Care and Food 60-75 95+
Pharmaceuticals 70+ 95+
Processed Food 70-80 95+
Railways 50-60 80+
Robotics 35-45 80+
Satellite & Space 55+ 80+
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