Australia AI market Report and Forecast 2025-2034

Australia AI Market Report and Forecast 2025-2034

Market Outlook

According to the report by Expert Market Research (EMR), the Australia AI market size reached around USD 5.36 million in 2024. Aided by the accelerating adoption of artificial intelligence across various industries and the growing need for intelligent automation, the market is projected to grow at a CAGR of 16.60% between 2025 and 2034 to attain nearly USD 24.11 million by 2034.

The rapid advancements in AI technologies, including machine learning, natural language processing, and computer vision, have opened up new opportunities for businesses and governments to enhance operations, reduce costs, and improve service delivery. As Australian businesses look for ways to stay competitive in a globalised economy, the strategic integration of AI is increasingly becoming a critical component of growth. With a strong emphasis on innovation, digitalisation, and technological development, the Australia AI market is set to witness robust expansion in the coming years.

One of the primary drivers of the Australia AI market growth is the rising demand for operational efficiency and cost reduction. AI-powered systems, such as chatbots, predictive analytics, and automation tools, are revolutionising how businesses engage with customers, streamline operations, and enhance productivity. Industries such as retail, logistics, and finance are increasingly using AI to automate routine tasks, enabling human workers to focus on more strategic and creative activities. This efficiency boost is particularly valuable for organisations looking to optimise their operations and cut down on expenses.

Rapid digital transformation in the country is also driving the Australia AI market expansion. The Australian government has made substantial investments in advancing digital infrastructure, including the National AI Strategy, which aims to position Australia as a leader in AI technology. These investments, combined with an increasingly skilled workforce, are facilitating the growth of AI innovation hubs and the development of cutting-edge AI solutions.

As per the Australia AI market analysis, AI’s ability to personalise and enhance customer experiences is another significant factor driving its adoption in the Australian market. In retail, for example, AI-powered recommendation engines and chatbots are providing consumers with more tailored shopping experiences, boosting customer engagement and satisfaction. In the healthcare sector, AI is transforming the patient experience by offering more personalised treatment plans, improving diagnostic accuracy, and enabling better patient outcomes. This growing demand for personalized and customer-centric services is fuelling the rapid integration of AI technologies into Australian businesses.

Technological advancements in machine learning (ML) and deep learning are boosting the Australia AI market revenue. The development of more sophisticated algorithms and neural networks has led to significant improvements in the capabilities of AI systems. Machine learning models, for example, are being used across industries to analyse vast amounts of data, identify trends, and make predictions that would be impossible for humans to achieve manually.

Additionally, natural language processing (NLP) and computer vision are enabling AI to enhance customer service and interaction in Australia. Virtual assistants and AI-powered chatbots are becoming more advanced, helping companies provide 24/7 customer support across a variety of channels. AI-driven computer vision technologies are being employed in fields such as autonomous vehicles, retail security, and healthcare, where they can assist in tasks such as object recognition, facial recognition, and image classification. This is one of the key Australia AI market trends.

The Australian government is playing a critical role in driving AI adoption, with significant investments and strategic initiatives designed to support the growth of the AI ecosystem. The Australian Government's Artificial Intelligence Action Plan outlines the country’s vision for becoming a global leader in AI innovation and deployment, emphasising the importance of fostering a thriving AI industry. Key initiatives under this plan include funding research and development in AI, fostering collaboration between businesses and academia, and ensuring that AI adoption is accompanied by a strong regulatory framework. This is driving the Australia AI market development.

The private sector is also making substantial investments in AI technology, with Australian businesses recognising the transformative potential of AI to enhance their operations. From large enterprises to small startups, companies across industries are investing in AI-driven solutions to stay ahead of the curve and provide better services to their customers.

Despite the positive outlook for the Australia AI market, there are several challenges that must be addressed to ensure the successful integration of AI across sectors. One of the primary challenges is the need for a skilled workforce capable of developing, implementing, and managing AI technologies. While Australia has made progress in AI education and training, there is still a need for a larger pool of AI professionals, including data scientists, machine learning engineers, and AI ethics experts.

Ethical concerns related to the use of AI also present a significant challenge in the Australia AI market. Issues such as data privacy, bias in AI algorithms, and the potential displacement of jobs by automation require careful consideration. The Australian government and businesses must work together to establish clear ethical guidelines and regulatory frameworks that ensure AI technologies are used responsibly and equitably.

Despite these challenges, the future of the Australia AI market looks promising. With continuous advancements in AI technologies, a supportive government framework, and growing industry demand, the market is expected to maintain its strong growth trajectory in the coming years. AI will continue to enhance productivity, drive innovation, and unlock new opportunities for businesses, creating a more competitive and dynamic economy.

In conclusion, the Australia AI market dynamics is set to evolve over the forecast period, driven by advancements in machine learning, natural language processing, and other cutting-edge technologies. As businesses and governments recognise the value of AI in enhancing operational efficiency, personalising services, and driving innovation, the demand for AI solutions will continue to rise. With the right investments in infrastructure, education, and ethical frameworks, Australia is well-positioned to be at the forefront of the global AI revolution, unlocking new opportunities across industries and shaping the future of the economy.

Market Segmentation

The market can be divided based on type, component, deployment mode, business function, technology, enterprise size, end use, and region.

Market Breakup by Type

  • Customisable AI
  • AI Marketplaces
  • Pretrained Models
  • Edge AI
Market Breakup by Component
  • Software
  • Service
  • Hardware
Market Breakup by Deployment Mode
  • Cloud
  • On-premises
Market Breakup by Business Function
  • Supply Chain Management
  • Finance and Accounting
  • Sales and Marketing
  • Cybersecurity
  • Operations
  • Human Resource Management
  • Legal and Compliance
Market Breakup by Technology
  • Generative AI
  • Natural Language Processing
  • Deep Learning
  • Machine Learning
  • Computer Vision
  • Others
Market Breakup by Enterprise Size
  • Small and Medium-sized Enterprise
  • Large Enterprise
Market Breakup by End Use
  • Manufacturing
  • IT and Telecommunication
  • BFSI
  • Automotive
  • Healthcare
  • Education
  • Media and Entertainment
  • Agriculture
  • Retail and E-commerce
Market Breakup by Region
  • New South Wales
  • Victoria
  • Queensland
  • Western Australia
  • Australian Capital Territory
  • Others
Competitive Landscape

The EMR report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in the Australia AI market. Some of the major players explored in the report by Expert Market Research are as follows:
  • Accenture PLC
  • Solentive Systems Pty Ltd.
  • Telexar Technologies Pty Ltd.
  • Atlasopen
  • Daisee Pty Ltd.
  • Remi Investing Pty Ltd
  • LexX Technologies Pty Ltd.
  • Red Marble AI Pty Ltd.
  • CANOPY CREATIVE CORP PTY LTD
  • Kyndryl Australia Pty Ltd.
  • Others
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*We at Expert Market Research always strive to provide you with the latest information. The numbers in the article are only indicative and may be different from the actual report.


01 Executive Summary
1.1 Market Size 2024-2025
1.2 Market Growth 2025(F)-2034(F)
1.3 Key Demand Drivers
1.4 Key Players and Competitive Structure
1.5 Industry Best Practices
1.6 Recent Trends and Developments
1.7 Industry Outlook
02 Market Overview and Stakeholder Insights
2.1 Market Trends
2.2 Key Verticals
2.3 Key Regions
2.4 Supplier Power
2.5 Buyer Power
2.6 Key Market Opportunities and Risks
2.7 Key Initiatives by Stakeholders
03 Economic Summary
3.1 GDP Outlook
3.2 GDP Per Capita Growth
3.3 Inflation Trends
3.4 Democracy Index
3.5 Gross Public Debt Ratios
3.6 Balance of Payment (BoP) Position
3.7 Population Outlook
3.8 Urbanisation Trends
04 Country Risk Profiles
4.1 Country Risk
4.2 Business Climate
05 Australia AI Market Overview
5.1 Key Industry Highlights
5.2 Australia AI Historical Market (2018-2024)
5.3 Australia AI Market Forecast (2025-2034)
06 Australia AI Market by Type
6.1 Customizable AI
6.1.1 Historical Trend (2018-2024)
6.1.2 Forecast Trend (2025-2034)
6.2 AI Marketplaces
6.2.1 Historical Trend (2018-2024)
6.2.2 Forecast Trend (2025-2034)
6.3 Pretrained Models
6.3.1 Historical Trend (2018-2024)
6.3.2 Forecast Trend (2025-2034)
6.4 Edge AI
6.4.1 Historical Trend (2018-2024)
6.4.2 Forecast Trend (2025-2034)
07 Australia AI Market by Component
7.1 Software
7.1.1 Historical Trend (2018-2024)
7.1.2 Forecast Trend (2025-2034)
7.2 Service
7.2.1 Historical Trend (2018-2024)
7.2.2 Forecast Trend (2025-2034)
7.3 Hardware
7.3.1 Historical Trend (2018-2024)
7.3.2 Forecast Trend (2025-2034)
08 Australia AI Market by Deployment Mode
8.1 Cloud
8.1.1 Historical Trend (2018-2024)
8.1.2 Forecast Trend (2025-2034)
8.2 On-premises
8.2.1 Historical Trend (2018-2024)
8.2.2 Forecast Trend (2025-2034)
09 Australia AI Market by Business Function
9.1 Supply Chain Management
9.1.1 Historical Trend (2018-2024)
9.1.2 Forecast Trend (2025-2034)
9.2 Finance and Accounting
9.2.1 Historical Trend (2018-2024)
9.2.2 Forecast Trend (2025-2034)
9.3 Sales and Marketing
9.3.1 Historical Trend (2018-2024)
9.3.2 Forecast Trend (2025-2034)
9.4 Cybersecurity
9.4.1 Historical Trend (2018-2024)
9.4.2 Forecast Trend (2025-2034)
9.5 Operations
9.5.1 Historical Trend (2018-2024)
9.5.2 Forecast Trend (2025-2034)
9.6 Human Resource Management
9.6.1 Historical Trend (2018-2024)
9.6.2 Forecast Trend (2025-2034)
9.7 Legal and Compliance
9.7.1 Historical Trend (2018-2024)
9.7.2 Forecast Trend (2025-2034)
10 Australia AI Market by Technology
10.1 Generative AI
10.1.1 Historical Trend (2018-2024)
10.1.2 Forecast Trend (2025-2034)
10.2 Natural Language Processing
10.2.1 Historical Trend (2018-2024)
10.2.2 Forecast Trend (2025-2034)
10.3 Deep Learning
10.3.1 Historical Trend (2018-2024)
10.3.2 Forecast Trend (2025-2034)
10.4 Machine Learning
10.4.1 Historical Trend (2018-2024)
10.4.2 Forecast Trend (2025-2034)
10.5 Computer Vision
10.5.1 Historical Trend (2018-2024)
10.5.2 Forecast Trend (2025-2034)
10.6 Others
11 Australia AI Market by Enterprise Size
11.1 Small and Medium-sized Enterprise
11.1.1 Historical Trend (2018-2024)
11.1.2 Forecast Trend (2025-2034)
11.2 Large Enterprise
11.2.1 Historical Trend (2018-2024)
11.2.2 Forecast Trend (2025-2034)
12 Australia AI Market by End Use
12.1 Manufacturing
12.1.1 Historical Trend (2018-2024)
12.1.2 Forecast Trend (2025-2034)
12.2 IT and Telecommunication
12.2.1 Historical Trend (2018-2024)
12.2.2 Forecast Trend (2025-2034)
12.3 BFSI
12.3.1 Historical Trend (2018-2024)
12.3.2 Forecast Trend (2025-2034)
12.4 Automotive
12.4.1 Historical Trend (2018-2024)
12.4.2 Forecast Trend (2025-2034)
12.5 Healthcare
12.5.1 Historical Trend (2018-2024)
12.5.2 Forecast Trend (2025-2034)
12.6 Education
12.6.1 Historical Trend (2018-2024)
12.6.2 Forecast Trend (2025-2034)
12.7 Media and Entertainment
12.7.1 Historical Trend (2018-2024)
12.7.2 Forecast Trend (2025-2034)
12.8 Agriculture
12.8.1 Historical Trend (2018-2024)
12.8.2 Forecast Trend (2025-2034)
12.9 Retail and E-commerce
12.9.1 Historical Trend (2018-2024)
12.9.2 Forecast Trend (2025-2034)
13 Australia AI Market by Region
13.1 New South Wales
13.1.1 Historical Trend (2018-2024)
13.1.2 Forecast Trend (2025-2034)
13.2 Victoria
13.2.1 Historical Trend (2018-2024)
13.2.2 Forecast Trend (2025-2034)
13.3 Queensland
13.3.1 Historical Trend (2018-2024)
13.3.2 Forecast Trend (2025-2034)
13.4 Australian Capital Territory
13.4.1 Historical Trend (2018-2024)
13.4.2 Forecast Trend (2025-2034)
13.5 Western Australia
13.5.1 Historical Trend (2018-2024)
13.5.2 Forecast Trend (2025-2034)
13.6 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Competitive Landscape
15.1 Supplier Selection
15.2 Key Global Players
15.3 Key Regional Players
15.4 Key Player Strategies
15.5 Company Profiles
15.5.1 Accenture PLC
15.5.1.1 Company Overview
15.5.1.2 Product Portfolio
15.5.1.3 Demographic Reach and Achievements
15.5.1.4 Certifications
15.5.2 Solentive Systems Pty Ltd.
15.5.2.1 Company Overview
15.5.2.2 Product Portfolio
15.5.2.3 Demographic Reach and Achievements
15.5.2.4 Certifications
15.5.3 Telexar Technologies Pty Ltd.
15.5.3.1 Company Overview
15.5.3.2 Product Portfolio
15.5.3.3 Demographic Reach and Achievements
15.5.3.4 Certifications
15.5.4 Atlasopen
15.5.4.1 Company Overview
15.5.4.2 Product Portfolio
15.5.4.3 Demographic Reach and Achievements
15.5.4.4 Certifications
15.5.5 Daisee Pty Ltd.
15.5.5.1 Company Overview
15.5.5.2 Product Portfolio
15.5.5.3 Demographic Reach and Achievements
15.5.5.4 Certifications
15.5.6 Remi Investing Pty Ltd.
15.5.6.1 Company Overview
15.5.6.2 Product Portfolio
15.5.6.3 Demographic Reach and Achievements
15.5.6.4 Certifications
15.5.7 LexX Technologies Pty Ltd.
15.5.7.1 Company Overview
15.5.7.2 Product Portfolio
15.5.7.3 Demographic Reach and Achievements
15.5.7.4 Certifications
15.5.8 Red Marble AI Pty Ltd.
15.5.8.1 Company Overview
15.5.8.2 Product Portfolio
15.5.8.3 Demographic Reach and Achievements
15.5.8.4 Certifications
15.5.9 CANOPY CREATIVE CORP PTY LTD
15.5.9.1 Company Overview
15.5.9.2 Product Portfolio
15.5.9.3 Demographic Reach and Achievements
15.5.9.4 Certifications
15.5.10 Kyndryl Australia Pty Ltd.
15.5.10.1 Company Overview
15.5.10.2 Product Portfolio
15.5.10.3 Demographic Reach and Achievements
15.5.10.4 Certifications
15.5.11 Others

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