East Energy + TGC Data Global Partnership

Market Analysis Overview

Total Addressable Market

$75B

Global energy management market by 2027

📈 +12% CAGR

Serviceable Market

$15B

MSP-focused energy services segment

📈 +18% CAGR

Target Market Share

1-2%

Conservative market penetration goal

📈 $150-300M

Strategic Market Position

The global energy management market presents a $75B opportunity by 2027. Our three-tier MSP strategy targets 1-2% market share, focusing on high-value enterprise clients while maintaining scalable solutions for SME segments. Conservative projections indicate $150-300M annual revenue potential within our serviceable market.

Detailed Market Segmentation

Geographic Segmentation

Northeast

35%

High energy costs, dense population

$52.5M potential

Southeast

25%

Manufacturing hub, moderate costs

$37.5M potential

Midwest

25%

Agriculture, logistics centers

$37.5M potential

West

15%

Tech sector, sustainability focus

$22.5M potential

Industry Vertical Segmentation

Manufacturing & Industrial (40%)

High energy consumption, cost-sensitive, efficiency focused

$60M Annual Potential

Average Contract: $285K

Healthcare & Education (25%)

Reliability critical, compliance requirements, budget constraints

$37.5M Annual Potential

Average Contract: $195K

Technology & Financial (35%)

Innovation adoption, sustainability mandates, high-value contracts

$52.5M Annual Potential

Average Contract: $425K

Technology Adoption Segmentation

Laggards (15%)

Basic energy monitoring, price-focused

Entry-level MSP packages

12-18 month sales cycle

Mainstream (60%)

Proven ROI seekers, moderate innovation

Premium MSP with analytics

6-9 month sales cycle

Early Adopters (25%)

Innovation leaders, sustainability champions

Enterprise custom solutions

3-6 month sales cycle

Infrastructure Requirements & Optimal Customer Mix Analysis

Technical Approach: Power Density & Workload Optimization

Customer segmentation based on technical infrastructure requirements, power density needs, and workload characteristics to optimize datacenter capacity allocation and revenue per MW across our 25MW total capacity.

Company Size & Power Density Requirements

Company Size	Employees	Typical Power Density	Rack Requirements	Annual Contract Value	Revenue/kW
Small Enterprise	50-250	4-8kW/rack	5-15 racks	$50K-$180K	$2,100-$2,400
Mid-Market	250-1,000	8-12kW/rack	15-40 racks	$180K-$600K	$2,400-$2,700
Large Enterprise	1,000-5,000	12-18kW/rack	40-100 racks	$600K-$2.2M	$2,700-$3,100
Fortune 500	5,000+	18-25kW/rack	100+ racks	$2.2M+	$3,100-$3,600

Workload Types & Infrastructure Requirements

Traditional Enterprise Workloads

Business Applications (10-15kW/rack)

Workloads: ERP, CRM, email, file servers, databases

Industries: Manufacturing, Healthcare, Financial Services

Cooling: Standard air cooling, 1.3-1.4 PUE

Revenue Density: $2,400-2,700/kW annually

Market Share: 65% of current demand

Virtualization & Cloud (8-12kW/rack)

Workloads: VMware infrastructure, private cloud, hybrid deployments

Industries: Government, Education, SME across sectors

Cooling: Efficient air cooling, 1.2-1.3 PUE

Revenue Density: $2,100-2,400/kW annually

Market Share: 25% of current demand

High-Density AI/ML Workloads

AI Training & Inference (20-30kW/rack)

Workloads: GPU clusters, ML training, AI inference, HPC

Industries: Technology, Research, Financial Services, Healthcare

Cooling: Liquid cooling required, 1.1-1.2 PUE

Revenue Density: $3,600-4,200/kW annually

Market Share: 8% current, 25% projected by 2027

Edge AI & IoT (15-20kW/rack)

Workloads: Edge computing, real-time AI, IoT processing

Industries: Manufacturing, Automotive, Smart Cities

Cooling: Hybrid cooling, 1.2-1.3 PUE

Revenue Density: $3,100-3,600/kW annually

Market Share: 2% current, 15% projected by 2027

Optimal Customer Mix Strategy (25MW Total Capacity)

Revenue Optimization Model

Strategic customer mix balancing revenue per kW, operational complexity, and market demand patterns to maximize total revenue across our 25MW infrastructure capacity.

Current Market Strategy

Traditional Enterprise (65%)16.25MW

Virtualization/Cloud (25%)6.25MW

AI/ML High-Density (10%)2.5MW

Blended Revenue/kW:$2,650

Total Annual Revenue:$66.3M

AI-Forward Strategy (2027+)

Traditional Enterprise (50%)12.5MW

Virtualization/Cloud (25%)6.25MW

AI/ML High-Density (25%)6.25MW

Blended Revenue/kW:$3,025

Total Annual Revenue:$75.6M

Premium High-Density (2029+)

Traditional Enterprise (35%)8.75MW

Virtualization/Cloud (25%)6.25MW

AI/ML High-Density (40%)10MW

Blended Revenue/kW:$3,285

Total Annual Revenue:$82.1M

Site-Specific Infrastructure Capabilities

T1 Farmville (8.3MW target)

Optimal Workloads: Traditional enterprise, manufacturing AI

Power Density Support: 8-20kW/rack

Cooling Infrastructure: Air + hybrid cooling capability

Target Customer Mix: 70% traditional, 20% virtualization, 10% AI

Revenue Potential: $21.6M annually at full utilization

Natural Gas Advantage: Backup power redundancy for critical workloads

T2 Wilson (8.3MW target)

Optimal Workloads: Healthcare compliance, government, financial services

Power Density Support: 10-25kW/rack

Cooling Infrastructure: Enhanced air + liquid cooling ready

Target Customer Mix: 60% traditional, 25% virtualization, 15% AI

Revenue Potential: $23.1M annually at full utilization

Water Advantage: >0.25 MGD capacity supports high-density cooling

T3 La Grange (8.3MW target)

Optimal Workloads: Edge computing, regional SME, distributed AI

Power Density Support: 6-18kW/rack

Cooling Infrastructure: Efficient air cooling, cost-optimized

Target Customer Mix: 50% traditional, 35% virtualization, 15% edge AI

Revenue Potential: $19.8M annually at full utilization

Cost Advantage: Lower operational costs enable competitive pricing

Customer Mix Evolution Strategy (2027-2030)

2027: Market Entry

Traditional: 65%

Virtualization: 25%

AI/ML: 10%

$66.3M Revenue

2028: AI Adoption

Traditional: 55%

Virtualization: 25%

AI/ML: 20%

$71.0M Revenue

2029: AI Integration

Traditional: 45%

Virtualization: 25%

AI/ML: 30%

$75.6M Revenue

2030: AI Leadership

Traditional: 35%

Virtualization: 25%

AI/ML: 40%

$82.1M Revenue

Key Success Factors

Infrastructure Readiness: Liquid cooling deployment by 2028 for AI workloads

Market Positioning: Early AI/ML capability in Southeast regional market

Revenue Optimization: +24% revenue growth through high-density workload mix

Revenue Projections by Customer Type

5-Year Revenue Forecast by Segment

Customer Segment	2026	2027	2028	2029	2030	Total
SME ($75K avg)	$2.1M	$8.5M	$12.8M	$15.2M	$17.1M	$55.7M
Large Enterprise ($450K avg)	$4.8M	$18.2M	$28.4M	$34.1M	$38.7M	$124.2M
Fortune 500 ($1.2M avg)	$11.1M	$38.3M	$52.8M	$61.2M	$67.4M	$230.8M
Total MSP Revenue	$18.0M	$65.0M	$94.0M	$110.5M	$123.2M	$410.7M

Customer Lifetime Value (CLV) Analysis

SME Segment CLV

Annual Contract Value:$75K

Average Retention:4.2 years

Upsell Rate:65%

Customer Acquisition Cost:$8,500

Lifetime Value:$385K

CLV:CAC Ratio:45:1

Large Enterprise CLV

Annual Contract Value:$450K

Average Retention:5.8 years

Upsell Rate:85%

Customer Acquisition Cost:$45,000

Lifetime Value:$3.2M

CLV:CAC Ratio:71:1

Fortune 500 CLV

Annual Contract Value:$1.2M

Average Retention:7.5 years

Upsell Rate:95%

Customer Acquisition Cost:$125,000

Lifetime Value:$11.7M

CLV:CAC Ratio:94:1

Revenue Mix Evolution

2026

SME: 12%

Enterprise: 27%

F500: 61%

2027

SME: 13%

Enterprise: 28%

F500: 59%

2028

SME: 14%

Enterprise: 30%

F500: 56%

2029

SME: 14%

Enterprise: 31%

F500: 55%

2030

SME: 14%

Enterprise: 31%

F500: 55%

Small-Medium Enterprises (SME)

10-500 employees | $1M - $50M

15-25%

Expected ROI

$50K - $500K

Annual Energy Spend

Basic

Recommended MSP Tier

35%

Conversion Rate

$75K

Avg Contract Value

Real-World Scenarios

Regional Manufacturing Co.

Manufacturing

Challenge: High energy costs, lack of monitoring

Solution: Basic MSP with real-time monitoring

Outcome: 20% cost reduction, $100K annual savings

Tech Startup Hub

Technology

Challenge: Scalable energy management

Solution: Automated reporting and optimization

Outcome: 30% efficiency improvement

Large Enterprises

500-5000 employees | $50M - $1B

35-50%

Expected ROI

$500K - $5M

Annual Energy Spend

Premium

Recommended MSP Tier

60%

Conversion Rate

$450K

Avg Contract Value

Real-World Scenarios

Global Logistics Corp

Transportation

Challenge: Multi-site energy optimization

Solution: Premium MSP with predictive analytics

Outcome: 45% cost optimization, $2.5M savings

Healthcare Network

Healthcare

Challenge: Compliance and cost management

Solution: Advanced monitoring and reporting

Outcome: 40% efficiency gain, regulatory compliance

Enterprise & Fortune 500

5000+ employees | $1B+

50-70%

Expected ROI

$5M+

Annual Energy Spend

Enterprise

Recommended MSP Tier

80%

Conversion Rate

$1.2M

Avg Contract Value

Real-World Scenarios

Multinational Energy Corp

Energy

Challenge: Global operations optimization

Solution: Enterprise MSP with custom solutions

Outcome: 60% operational efficiency, $15M savings

Financial Services Giant

Financial Services

Challenge: Data center energy management

Solution: Full-scale managed operations

Outcome: 70% cost reduction, carbon neutral

Customer Acquisition Strategy

Our integrated approach combines executive leadership, strategic partnerships, and AI-enhanced tools to deliver cost-effective customer acquisition with unlimited scalability.

Targeted Marketing

Industry-specific campaigns focused on energy-intensive sectors, enhanced with AI targeting and partner channel amplification

Partner Network

Strategic alliances with system integrators, consultants, and regional agents providing cost-effective market coverage

Thought Leadership

Industry events, whitepapers, and energy efficiency case studies amplified through partner networks

AI-Enhanced Process

Automated lead qualification, CRM optimization, and performance analytics supporting both direct and partner sales

Sales Channel Performance

65%

Partner Channel

Cost-effective regional coverage

25%

Direct Sales

Enterprise & strategic accounts

10%

Referrals

Customer-driven growth

Customer Success Metrics

92%

Customer Retention

Year-over-year

35%

Average Cost Savings

Client energy costs

85%

Upsell Rate

Service tier upgrades

9.2

NPS Score

Customer satisfaction