+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
New

Australia AI-powered Energy Management Software - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026-2031)

  • PDF Icon

    Report

  • 168 Pages
  • July 2026
  • Region: Australia
  • Mordor Intelligence
  • ID: 6260107
The australia aI-powered energy management software market size is expected to grow from USD 83.91 million in 2025 to USD 101.32 million in 2026 and is forecast to reach USD 283.12 million by 2031 at 22.82% CAGR over 2026-2031. This report is Segmented by Component (Software, and Services), Deployment Mode (Cloud-Based, On-Premises, and Hybrid), Application (Energy Consumption and Demand Optimization, Asset Performance and Predictive Maintenance, and More), and End User (Utilities, Commercial Buildings, and More). The Market Forecasts are Provided in Terms of Value (USD).

Australia AI-powered Energy Management Software Market Trends and Insights

Rising Rooftop Solar, Battery, and Flexible Load Orchestration Demand

Australia’s distributed energy base has reached a point where coordination software has become part of everyday grid operations rather than an optional upgrade. Rooftop solar PV capacity passed 28.3GW by the end of 2025, and it supplied 14.2% of the country’s electricity generation in the second half of the year, up from 7.2% in 2020. Battery adoption also moved quickly, with 454,753 units installed cumulatively by the end of 2025, while battery discharge nearly tripled in the final quarter of 2025, easing evening wholesale price pressure. The July 2025 battery support program increased attachment rates and brought more storage systems into behind-the-meter settings that require fast decisions on charging, export, and self-consumption. That shift is strengthening the Australia AI-powered Energy Management Software Market because building operators, aggregators, and utilities now need a common software layer that can respond to real operating conditions instead of fixed schedules. The Australia AI-powered Energy Management Software Market is also benefiting from the fact that these assets now affect not only customer bills, but also local network stability and wholesale market behavior.

Rising Electricity Tariff Volatility and Peak Pricing Exposure

Electricity price volatility remains a clear reason for customers to invest in optimization software across the Australia AI-powered Energy Management Software Market. Australia’s authorized spot market price cap stood at AUD 18,600/MWh (USD 11,830/MWh) in 2025 and will rise to AUD 22,800/MWh (USD 14,455/MWh) from July 2026. The Australian Energy Regulator also reported that dispatch intervals with prices above AUD 300/MWh increased from 0.4% of all intervals in 2020 to 1.8% in 2024, which means exposure to price spikes has widened over time. South Australia showed how sharp that pressure can become when a January 2026 heatwave lifted the state’s quarterly average wholesale price from AUD 81/MWh (USD 51.52/MWh) to AUD 144/MWh (USD 91.58/MWh). The national smart meter rollout, which targets full penetration by 2030, will make five-minute time-of-use pricing more visible to a broader customer base and improve the payback case for AI-led load scheduling. As a result, the Australia AI-powered Energy Management Software Market is moving beyond large industrial accounts and gaining relevance with mid-sized commercial operators that now face more direct pricing signals.

Legacy Building Management System Integration Complexity

Older building systems remain a practical barrier for the Australia AI-powered Energy Management Software Market, especially in commercial property portfolios with mixed equipment vintages. Many building management systems installed in the 2000s and early 2010s were not designed for open APIs, cloud-native data flows, or newer DER communication standards. That creates additional costs for middleware, metering upgrades, and partial hardware replacements before AI software can operate as intended. NCC 2025 is increasing this pressure because building owners who must meet new monitoring rules are finding that their current systems cannot always produce the required five-minute data without deeper reconfiguration. This issue matters most in the mid-market segment, where owners often lack internal technical teams and need vendors to manage both integration and compliance work together. The Australia AI-powered Energy Management Software Market therefore favors providers that already support the most common local BMS environments and can shorten retrofit timelines.

Other drivers and restraints analyzed in the detailed report include:

  • Mandated Energy Efficiency and Decarbonization Programs in Buildings and Industry
  • Utility And Network Need for Behind-The-Meter Visibility
  • Cybersecurity and Data Governance Concerns for Cloud-Connected Platforms

Segment Analysis

Software accounted for 68.17% of revenue in 2025, which shows that the current value pool still sits mainly in the platform layer rather than in one-time deployment work. In the Australia AI-powered Energy Management Software Market, subscription and licensing revenue remains important because customers need continuous forecasting, dashboarding, reporting, and model updates after the first installation. This has helped software vendors maintain the revenue lead, especially when analytics, DER control, and demand optimization are delivered through recurring contracts. The Australia AI-powered energy management software industry also reflects a buyer preference for tools that can unify multiple energy assets into one operating view instead of relying on separate systems for each function. That structure supports a larger lifetime value per account even before services are added.

Services, however, are projected to grow at a 23.91% CAGR through 2031, indicating how much practical work still sits outside the core platform. Large customers often need help with integration, tuning, compliance reporting, alarm management, and user training, especially when assets come from several vendors or sites operate under different rules. Siemens’ cloud SCADA deployment for Global Power Generation Australia shows how major software rollouts can turn into multi-year support programs rather than short delivery projects. The Australia AI-powered Energy Management Software Market share held by software does not reduce the importance of services, because many buyers treat both as one operating package once the system moves into daily use. Over time, more vendors are likely to package software, optimization support, and reporting services together, making the line between component categories less visible to customers.

Cloud-based deployment accounted for 58.12% in 2025, confirming that low upfront costs and easy remote access continue to make SaaS the most practical entry point for many users. In the Australia AI-powered Energy Management Software Market, cloud delivery works well for analytics, portfolio dashboards, reporting, and fleet-level oversight across widely spread sites. It also meets the needs of commercial operators who want faster rollout and lower internal IT demands. On-premises deployment remains relevant for a smaller group of critical operators who place greater weight on data residency, network segregation, and direct control over system architecture. Those conditions keep on-premises options in play even as broader adoption stays cloud-led.

Hybrid deployment is expected to post the fastest CAGR at 23.98% through 2031, because it solves a practical problem that pure cloud models cannot always handle. Real-time battery dispatch, load control, and export management often require site-level response within seconds, while cloud systems are more useful for broader optimization and coordination. SwitchDin’s work with Endeavor Energy shows how edge-enabled devices and central analytics can work together in live network environments where export limits must be adjusted quickly. That combination is becoming more attractive in the Australia AI-powered energy management software industry as utilities, industrial operators, and advanced buildings all need both local autonomy and portfolio-level visibility. The Australia AI-powered Energy Management Software Market size tied to hybrid models should therefore continue to rise as more buyers shift from basic monitoring to active control.

Complete Report Scope:

  • By Component
    • Software
    • Services
  • By Deployment Mode
    • Cloud-Based
    • On-Premises
    • Hybrid
  • By Application
    • Energy Consumption and Demand Optimization
    • Asset Performance and Predictive Maintenance
    • Smart Grid and Distributed Energy Resource (DER) Management
    • Renewable Energy Forecasting and Integration
    • Energy Trading, Pricing and Market Intelligence
  • By End User
    • Utilities
    • Commercial Buildings
    • Industrial Facilities
    • Residential Buildings

List of Companies Covered in this Report:

  • Azility Pty Ltd
  • Bravo Energy Systems Pty Ltd
  • Bueno Analytics Pty Ltd
  • CopperTree Analytics Inc.
  • Deep Energy AI Pty Ltd
  • Wattwatchers Digital Energy Pty Ltd
  • EnergyCAP, LLC
  • energyOS Pty Ltd
  • Enel X S.r.l.
  • Exergenics Pty Ltd
  • Gridsight Pty Ltd
  • Johnson Controls International plc
  • Schneider Electric SE
  • Siemens AG
  • Solar Analytics Pty Ltd
  • SwitchDin Pty Ltd
  • Uplight, Inc.
  • VALAI Pty Ltd
  • ABB Ltd
  • Honeywell International Inc.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

Table of Contents

1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY3 EXECUTIVE SUMMARY
4 MARKET LANDSCAPE
4.1 Market Overview
4.2 Market Drivers
4.2.1 Rising Rooftop Solar, Battery, and Flexible Load Orchestration Demand
4.2.2 Rising Electricity Tariff Volatility and Peak Pricing Exposure
4.2.3 Mandated Energy Efficiency and Decarbonization Programs in Buildings and Industry
4.2.4 Utility And Network Need For Behind-The-Meter Visibility
4.2.5 Edge-Aware AI for Site-Level Autonomy and Lower Latency Control
4.2.6 Portfolio-Wide ESG Reporting and Measurement, Reporting, and Verification Automation
4.3 Market Restraints
4.3.1 Legacy Building Management System Integration Complexity
4.3.2 Cybersecurity And Data Governance Concerns For Cloud-Connected Platforms
4.3.3 Interoperability Gaps Across Inverters, Meters, HVAC, And Distributed Energy Resources
4.3.4 Shortage Of AI, Controls, And Energy Optimization Implementation Talent
4.4 Impact of Macroeconomic Factors on the Market
4.5 Industry Value-Chain Analysis
4.6 Regulatory Landscape
4.7 Technological Outlook
4.8 Porter’s Five Forces Analysis
4.8.1 Bargaining Power of Buyers
4.8.2 Bargaining Power of Suppliers
4.8.3 Threat of New Entrants
4.8.4 Threat of Substitutes
4.8.5 Intensity of Competitive Rivalry
5 MARKET SIZE AND GROWTH FORECASTS (VALUE)
5.1 By Component
5.1.1 Software
5.1.2 Services
5.2 By Deployment Mode
5.2.1 Cloud-Based
5.2.2 On-Premises
5.2.3 Hybrid
5.3 By Application
5.3.1 Energy Consumption and Demand Optimization
5.3.2 Asset Performance and Predictive Maintenance
5.3.3 Smart Grid and Distributed Energy Resource (DER) Management
5.3.4 Renewable Energy Forecasting and Integration
5.3.5 Energy Trading, Pricing and Market Intelligence
5.4 By End User
5.4.1 Utilities
5.4.2 Commercial Buildings
5.4.3 Industrial Facilities
5.4.4 Residential Buildings
6 COMPETITIVE LANDSCAPE
6.1 Market Concentration
6.2 Strategic Moves
6.3 Market Share Analysis
6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
6.4.1 Azility Pty Ltd
6.4.2 Bravo Energy Systems Pty Ltd
6.4.3 Bueno Analytics Pty Ltd
6.4.4 CopperTree Analytics Inc.
6.4.5 Deep Energy AI Pty Ltd
6.4.6 Wattwatchers Digital Energy Pty Ltd
6.4.7 EnergyCAP, LLC
6.4.8 energyOS Pty Ltd
6.4.9 Enel X S.r.l.
6.4.10 Exergenics Pty Ltd
6.4.11 Gridsight Pty Ltd
6.4.12 Johnson Controls International plc
6.4.13 Schneider Electric SE
6.4.14 Siemens AG
6.4.15 Solar Analytics Pty Ltd
6.4.16 SwitchDin Pty Ltd
6.4.17 Uplight, Inc.
6.4.18 VALAI Pty Ltd
6.4.19 ABB Ltd
6.4.20 Honeywell International Inc.
7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK
7.1 White-Space and Unmet-Need Assessment

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Azility Pty Ltd
  • Bravo Energy Systems Pty Ltd
  • Bueno Analytics Pty Ltd
  • CopperTree Analytics Inc.
  • Deep Energy AI Pty Ltd
  • Wattwatchers Digital Energy Pty Ltd
  • EnergyCAP, LLC
  • energyOS Pty Ltd
  • Enel X S.r.l.
  • Exergenics Pty Ltd
  • Gridsight Pty Ltd
  • Johnson Controls International plc
  • Schneider Electric SE
  • Siemens AG
  • Solar Analytics Pty Ltd
  • SwitchDin Pty Ltd
  • Uplight, Inc.
  • VALAI Pty Ltd
  • ABB Ltd
  • Honeywell International Inc.