Australia Artificial Intelligence Market, By Technology (Machine Learning, Natural Language Processing (NLP), Computer Vision, Robotics, Others), By Component (Software, Hardware, Services), By End-User Industry (Healthcare, Finance, Retail, Manufacturing, Automotive, Agriculture, Others), By Deployment Model (On-premises, Cloud, Hybrid) By Region, Competition, Forecast & Opportunities, 2019-2029F
Australia Artificial Intelligence Market was valued at USD 3.06 Billion in 2023 and is expected to reach USD 8.89 Billion by 2029 with a CAGR of 19.27% during the forecast period.
The Artificial Intelligence (AI) market encompasses the development, deployment, and utilization of AI technologies and solutions across various industries. AI involves creating systems capable of performing tasks that typically require human intelligence, such as learning from data, recognizing patterns, making decisions, and problem-solving. The market includes a wide range of applications, including machine learning, natural language processing, robotics, and computer vision.
Growth in the AI market is driven by advancements in data analytics, increasing adoption of AI solutions in sectors like healthcare, finance, automotive, and retail, and the expanding availability of big data and powerful computing resources. Companies invest in AI to enhance operational efficiency, innovate products and services, and gain a competitive edge. Key market segments include AI software, hardware, and services, with significant players ranging from tech giants to specialized startups. As AI technology continues to evolve, the market is expected to expand rapidly, transforming industries and creating new opportunities for innovation and economic growth.
Key Market Drivers
Government Initiatives and Support
The Australian government plays a crucial role in fostering the growth of the AI market through strategic initiatives and support programs. Recognizing the transformative potential of AI, the government has developed comprehensive policies and frameworks to encourage research, development, and deployment of AI technologies. For instance, the Australian Government's National Artificial Intelligence Strategy aims to promote innovation, improve industry productivity, and enhance societal benefits through AI. This strategy includes funding for AI research and development, support for AI startups, and initiatives to build a skilled workforce. Additionally, government-backed research organizations and partnerships with universities drive cutting-edge AI research, contributing to advancements in various sectors. By creating a favorable policy environment and investing in AI infrastructure, the government accelerates market growth and positions Australia as a competitive player in the global AI landscape.
Advancements in Technology and Innovation
Technological advancements and innovations are pivotal drivers of the AI market in Australia. Rapid developments in machine learning, deep learning, and natural language processing have significantly expanded the capabilities of AI systems. The proliferation of big data and advancements in cloud computing provide the necessary resources for AI algorithms to process and analyze vast amounts of information, leading to more accurate and efficient outcomes. In Australia, research institutions and technology companies are at the forefront of developing cutting-edge AI solutions across various sectors, including healthcare, finance, and manufacturing. Innovations in AI technologies, such as autonomous systems, predictive analytics, and intelligent automation, are driving market growth by offering new applications and improving operational efficiencies. The continuous evolution of AI technologies fosters a dynamic market environment, encouraging further investment and development in the field.
Increased Adoption Across Industries
The adoption of AI across diverse industries is a significant driver of the market in Australia. Organizations in sectors such as healthcare, finance, retail, and agriculture are increasingly implementing AI solutions to enhance their operations and gain a competitive edge. In healthcare, AI is used for diagnostic imaging, personalized medicine, and patient management, improving outcomes and efficiency. Financial institutions leverage AI for fraud detection, risk management, and customer service, enhancing security and operational effectiveness. Retailers utilize AI for inventory management, customer insights, and personalized recommendations, driving sales and customer satisfaction. The growing recognition of AI's potential to optimize processes, reduce costs, and create value across various sectors fuels the market's expansion. As more industries adopt AI technologies, the demand for innovative solutions and services continues to rise, further accelerating market growth.
Key Market Challenges
Ethical and Regulatory Concerns
Ethical and regulatory concerns pose significant challenges to the AI market in Australia. As AI technologies advance and become more integrated into various aspects of daily life and business, ensuring ethical use and compliance with regulations becomes increasingly complex. One major concern is the potential for AI systems to perpetuate or exacerbate biases. AI algorithms trained on historical data can inadvertently reinforce existing prejudices, leading to discriminatory outcomes in areas such as hiring, lending, and law enforcement. Addressing these issues requires careful design, transparency, and ongoing oversight to ensure fairness and accountability.
Another challenge is the need for robust regulatory frameworks to govern the development and deployment of AI technologies. While Australia has made strides in developing policies related to AI, the rapidly evolving nature of the technology presents difficulties in creating regulations that are both effective and adaptable. Striking the right balance between encouraging innovation and safeguarding public interests is crucial. Overly restrictive regulations could stifle technological progress, while insufficient oversight might lead to misuse or unintended consequences. As AI becomes more prevalent, Australia must develop comprehensive regulatory guidelines that address ethical concerns, ensure data privacy, and promote responsible AI use while fostering a thriving innovation ecosystem.
Skills Shortage and Talent Gap
A significant challenge facing the AI market in Australia is the shortage of skilled professionals and the talent gap in the field. The rapid growth of AI technology has created a high demand for experts in areas such as machine learning, data science, and AI engineering. However, there is a limited supply of qualified individuals with the necessary expertise to meet this demand. This skills shortage can hinder the development and implementation of AI solutions, affecting both startups and established companies in the sector.
To address this challenge, Australia needs to invest in education and training programs that focus on AI and related fields. This includes enhancing STEM (Science, Technology, Engineering, and Mathematics) curricula at schools and universities, offering specialized AI courses and certifications, and promoting initiatives that support continuous learning and professional development. Additionally, fostering collaboration between industry and academia can help align educational programs with industry needs and ensure that graduates are well-prepared for the AI workforce.
Attracting international talent can also play a role in bridging the skills gap. Implementing policies that facilitate the migration of skilled AI professionals and encouraging international collaborations can help bring diverse perspectives and expertise to the Australia AI market. Addressing the skills shortage is crucial for maintaining Australia’s competitive edge in the global AI landscape and ensuring the continued growth and success of the AI industry.
Key Market Trends
Increased Integration of AI in Healthcare
One of the most notable trends in the Australia AI market is the growing integration of AI technologies in healthcare. The healthcare sector is increasingly adopting AI to improve diagnostic accuracy, enhance patient care, and streamline administrative processes. AI-powered tools such as machine learning algorithms and computer vision are being utilized for early detection and diagnosis of diseases, including cancer and cardiovascular conditions. For instance, AI systems can analyze medical imaging with high precision, assisting radiologists in identifying abnormalities that might be missed through traditional methods.
AI is being used to personalize treatment plans based on individual patient data, leading to more targeted and effective therapies. Predictive analytics, driven by AI, is helping in forecasting patient outcomes and optimizing hospital resource management. The Australian government and healthcare organizations are investing in AI research and implementation to address healthcare challenges, enhance operational efficiency, and improve patient outcomes. The increasing adoption of AI in healthcare is expected to drive innovation and growth in the sector, positioning Australia as a leader in AI-driven medical advancements.
Expansion of AI in Financial Services
AI is making significant inroads into the financial services sector in Australia, transforming how banks, insurance companies, and investment firms operate. Financial institutions are leveraging AI technologies for a range of applications, including fraud detection, risk management, and customer service. Machine learning algorithms are being used to analyze transaction patterns and identify potentially fraudulent activities, improving security and reducing financial losses.
In investment management, AI-driven analytics are providing insights into market trends and helping in portfolio management. Robo-advisors, powered by AI, offer personalized investment advice and automate portfolio rebalancing, making financial services more accessible and efficient. Additionally, AI chatbots and virtual assistants are enhancing customer service by providing instant responses to queries and automating routine tasks. The growing integration of AI in financial services is driving innovation and efficiency, leading to improved customer experiences and operational effectiveness within the industry.
Rise of AI-Powered Smart Cities
The concept of smart cities is gaining momentum in Australia, with AI playing a central role in their development. AI technologies are being utilized to enhance urban infrastructure, improve public services, and create more efficient and sustainable cities. For instance, AI-driven systems are being used for traffic management, optimizing traffic flow, and reducing congestion. Smart transportation solutions, such as autonomous vehicles and intelligent public transit systems, are being integrated into urban planning to improve mobility and reduce emissions.
AI is also being applied to environmental monitoring, with systems analyzing data from sensors to track air quality, water usage, and energy consumption. This data-driven approach enables cities to make informed decisions about resource management and sustainability initiatives. The rise of AI-powered smart cities reflects a growing emphasis on leveraging technology to address urban challenges and create more livable and resilient communities. As Australian cities increasingly adopt smart technologies, the demand for AI solutions in urban planning and management is expected to grow.
Segmental Insights
Component Insights
The Software held the largest market share in 2023. Software applications are central to leveraging AI’s potential. AI software encompasses a broad range of tools, including machine learning algorithms, natural language processing systems, and data analytics platforms. These applications are critical for implementing AI solutions that drive insights, automate processes, and enhance decision-making across various industries. The demand for advanced analytics and intelligent applications is high, reflecting the significant role software plays in utilizing AI technologies effectively.
Flexibility and scalability are crucial attributes of AI software. Unlike hardware, which can be limited by physical constraints and upgrade cycles, software solutions can be easily updated and scaled to meet evolving business needs. This adaptability allows organizations to rapidly integrate new functionalities, optimize performance, and respond to changing market conditions. As a result, businesses prefer investing in software that can evolve with technological advancements and operational requirements.
The high cost of hardware and its specialized nature contribute to the dominance of software. AI hardware, such as specialized processors and sensors, often involves substantial capital expenditure and is subject to technological constraints and rapid obsolescence. In contrast, software solutions offer a more cost-effective approach, enabling businesses to access advanced AI capabilities without significant upfront investments in hardware.
Software-driven innovation is a major growth driver. AI software enables the development of cutting-edge applications and services, fostering innovation across sectors like healthcare, finance, and retail. This innovation not only enhances business processes but also creates new market opportunities, further fueling the demand for AI software.
Regional Insights
New South Wales (NSW) held the largest market share in 2023. NSW, particularly Sydney, is home to a robust technology ecosystem that includes leading research institutions, innovative startups, and established tech companies. The presence of organizations such as the University of Sydney and the University of New South Wales fosters cutting-edge research and development in AI. Additionally, technology incubators and accelerators in the region support AI startups, providing them with resources, mentorship, and funding.
The NSW government has been proactive in promoting AI and technology through various initiatives and funding programs. The state’s commitment to advancing digital innovation is evident in its strategic plans and investments in AI research, infrastructure, and workforce development. Programs designed to support the adoption of AI technologies across industries enhance the region's attractiveness to AI-driven enterprises.
Sydney, as the financial and business hub of Australia, has a high concentration of industries that are rapidly adopting AI technologies. Financial services, healthcare, and retail sectors in NSW are increasingly integrating AI to improve operational efficiencies, enhance customer experiences, and drive innovation. This demand creates a fertile environment for AI companies and professionals, further strengthening the region’s dominance in the market.
NSW benefits from a skilled workforce and top-tier educational institutions that offer specialized training in AI and related fields. The availability of highly educated talent, including data scientists and AI engineers, supports the growth and sustainability of the AI sector in the region.
Key Market Players
In this report, the Australia Artificial Intelligence Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Australia Artificial Intelligence Market.
Available Customizations:
Australia Artificial Intelligence Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
The Artificial Intelligence (AI) market encompasses the development, deployment, and utilization of AI technologies and solutions across various industries. AI involves creating systems capable of performing tasks that typically require human intelligence, such as learning from data, recognizing patterns, making decisions, and problem-solving. The market includes a wide range of applications, including machine learning, natural language processing, robotics, and computer vision.
Growth in the AI market is driven by advancements in data analytics, increasing adoption of AI solutions in sectors like healthcare, finance, automotive, and retail, and the expanding availability of big data and powerful computing resources. Companies invest in AI to enhance operational efficiency, innovate products and services, and gain a competitive edge. Key market segments include AI software, hardware, and services, with significant players ranging from tech giants to specialized startups. As AI technology continues to evolve, the market is expected to expand rapidly, transforming industries and creating new opportunities for innovation and economic growth.
Key Market Drivers
Government Initiatives and Support
The Australian government plays a crucial role in fostering the growth of the AI market through strategic initiatives and support programs. Recognizing the transformative potential of AI, the government has developed comprehensive policies and frameworks to encourage research, development, and deployment of AI technologies. For instance, the Australian Government's National Artificial Intelligence Strategy aims to promote innovation, improve industry productivity, and enhance societal benefits through AI. This strategy includes funding for AI research and development, support for AI startups, and initiatives to build a skilled workforce. Additionally, government-backed research organizations and partnerships with universities drive cutting-edge AI research, contributing to advancements in various sectors. By creating a favorable policy environment and investing in AI infrastructure, the government accelerates market growth and positions Australia as a competitive player in the global AI landscape.
Advancements in Technology and Innovation
Technological advancements and innovations are pivotal drivers of the AI market in Australia. Rapid developments in machine learning, deep learning, and natural language processing have significantly expanded the capabilities of AI systems. The proliferation of big data and advancements in cloud computing provide the necessary resources for AI algorithms to process and analyze vast amounts of information, leading to more accurate and efficient outcomes. In Australia, research institutions and technology companies are at the forefront of developing cutting-edge AI solutions across various sectors, including healthcare, finance, and manufacturing. Innovations in AI technologies, such as autonomous systems, predictive analytics, and intelligent automation, are driving market growth by offering new applications and improving operational efficiencies. The continuous evolution of AI technologies fosters a dynamic market environment, encouraging further investment and development in the field.
Increased Adoption Across Industries
The adoption of AI across diverse industries is a significant driver of the market in Australia. Organizations in sectors such as healthcare, finance, retail, and agriculture are increasingly implementing AI solutions to enhance their operations and gain a competitive edge. In healthcare, AI is used for diagnostic imaging, personalized medicine, and patient management, improving outcomes and efficiency. Financial institutions leverage AI for fraud detection, risk management, and customer service, enhancing security and operational effectiveness. Retailers utilize AI for inventory management, customer insights, and personalized recommendations, driving sales and customer satisfaction. The growing recognition of AI's potential to optimize processes, reduce costs, and create value across various sectors fuels the market's expansion. As more industries adopt AI technologies, the demand for innovative solutions and services continues to rise, further accelerating market growth.
Key Market Challenges
Ethical and Regulatory Concerns
Ethical and regulatory concerns pose significant challenges to the AI market in Australia. As AI technologies advance and become more integrated into various aspects of daily life and business, ensuring ethical use and compliance with regulations becomes increasingly complex. One major concern is the potential for AI systems to perpetuate or exacerbate biases. AI algorithms trained on historical data can inadvertently reinforce existing prejudices, leading to discriminatory outcomes in areas such as hiring, lending, and law enforcement. Addressing these issues requires careful design, transparency, and ongoing oversight to ensure fairness and accountability.
Another challenge is the need for robust regulatory frameworks to govern the development and deployment of AI technologies. While Australia has made strides in developing policies related to AI, the rapidly evolving nature of the technology presents difficulties in creating regulations that are both effective and adaptable. Striking the right balance between encouraging innovation and safeguarding public interests is crucial. Overly restrictive regulations could stifle technological progress, while insufficient oversight might lead to misuse or unintended consequences. As AI becomes more prevalent, Australia must develop comprehensive regulatory guidelines that address ethical concerns, ensure data privacy, and promote responsible AI use while fostering a thriving innovation ecosystem.
Skills Shortage and Talent Gap
A significant challenge facing the AI market in Australia is the shortage of skilled professionals and the talent gap in the field. The rapid growth of AI technology has created a high demand for experts in areas such as machine learning, data science, and AI engineering. However, there is a limited supply of qualified individuals with the necessary expertise to meet this demand. This skills shortage can hinder the development and implementation of AI solutions, affecting both startups and established companies in the sector.
To address this challenge, Australia needs to invest in education and training programs that focus on AI and related fields. This includes enhancing STEM (Science, Technology, Engineering, and Mathematics) curricula at schools and universities, offering specialized AI courses and certifications, and promoting initiatives that support continuous learning and professional development. Additionally, fostering collaboration between industry and academia can help align educational programs with industry needs and ensure that graduates are well-prepared for the AI workforce.
Attracting international talent can also play a role in bridging the skills gap. Implementing policies that facilitate the migration of skilled AI professionals and encouraging international collaborations can help bring diverse perspectives and expertise to the Australia AI market. Addressing the skills shortage is crucial for maintaining Australia’s competitive edge in the global AI landscape and ensuring the continued growth and success of the AI industry.
Key Market Trends
Increased Integration of AI in Healthcare
One of the most notable trends in the Australia AI market is the growing integration of AI technologies in healthcare. The healthcare sector is increasingly adopting AI to improve diagnostic accuracy, enhance patient care, and streamline administrative processes. AI-powered tools such as machine learning algorithms and computer vision are being utilized for early detection and diagnosis of diseases, including cancer and cardiovascular conditions. For instance, AI systems can analyze medical imaging with high precision, assisting radiologists in identifying abnormalities that might be missed through traditional methods.
AI is being used to personalize treatment plans based on individual patient data, leading to more targeted and effective therapies. Predictive analytics, driven by AI, is helping in forecasting patient outcomes and optimizing hospital resource management. The Australian government and healthcare organizations are investing in AI research and implementation to address healthcare challenges, enhance operational efficiency, and improve patient outcomes. The increasing adoption of AI in healthcare is expected to drive innovation and growth in the sector, positioning Australia as a leader in AI-driven medical advancements.
Expansion of AI in Financial Services
AI is making significant inroads into the financial services sector in Australia, transforming how banks, insurance companies, and investment firms operate. Financial institutions are leveraging AI technologies for a range of applications, including fraud detection, risk management, and customer service. Machine learning algorithms are being used to analyze transaction patterns and identify potentially fraudulent activities, improving security and reducing financial losses.
In investment management, AI-driven analytics are providing insights into market trends and helping in portfolio management. Robo-advisors, powered by AI, offer personalized investment advice and automate portfolio rebalancing, making financial services more accessible and efficient. Additionally, AI chatbots and virtual assistants are enhancing customer service by providing instant responses to queries and automating routine tasks. The growing integration of AI in financial services is driving innovation and efficiency, leading to improved customer experiences and operational effectiveness within the industry.
Rise of AI-Powered Smart Cities
The concept of smart cities is gaining momentum in Australia, with AI playing a central role in their development. AI technologies are being utilized to enhance urban infrastructure, improve public services, and create more efficient and sustainable cities. For instance, AI-driven systems are being used for traffic management, optimizing traffic flow, and reducing congestion. Smart transportation solutions, such as autonomous vehicles and intelligent public transit systems, are being integrated into urban planning to improve mobility and reduce emissions.
AI is also being applied to environmental monitoring, with systems analyzing data from sensors to track air quality, water usage, and energy consumption. This data-driven approach enables cities to make informed decisions about resource management and sustainability initiatives. The rise of AI-powered smart cities reflects a growing emphasis on leveraging technology to address urban challenges and create more livable and resilient communities. As Australian cities increasingly adopt smart technologies, the demand for AI solutions in urban planning and management is expected to grow.
Segmental Insights
Component Insights
The Software held the largest market share in 2023. Software applications are central to leveraging AI’s potential. AI software encompasses a broad range of tools, including machine learning algorithms, natural language processing systems, and data analytics platforms. These applications are critical for implementing AI solutions that drive insights, automate processes, and enhance decision-making across various industries. The demand for advanced analytics and intelligent applications is high, reflecting the significant role software plays in utilizing AI technologies effectively.
Flexibility and scalability are crucial attributes of AI software. Unlike hardware, which can be limited by physical constraints and upgrade cycles, software solutions can be easily updated and scaled to meet evolving business needs. This adaptability allows organizations to rapidly integrate new functionalities, optimize performance, and respond to changing market conditions. As a result, businesses prefer investing in software that can evolve with technological advancements and operational requirements.
The high cost of hardware and its specialized nature contribute to the dominance of software. AI hardware, such as specialized processors and sensors, often involves substantial capital expenditure and is subject to technological constraints and rapid obsolescence. In contrast, software solutions offer a more cost-effective approach, enabling businesses to access advanced AI capabilities without significant upfront investments in hardware.
Software-driven innovation is a major growth driver. AI software enables the development of cutting-edge applications and services, fostering innovation across sectors like healthcare, finance, and retail. This innovation not only enhances business processes but also creates new market opportunities, further fueling the demand for AI software.
Regional Insights
New South Wales (NSW) held the largest market share in 2023. NSW, particularly Sydney, is home to a robust technology ecosystem that includes leading research institutions, innovative startups, and established tech companies. The presence of organizations such as the University of Sydney and the University of New South Wales fosters cutting-edge research and development in AI. Additionally, technology incubators and accelerators in the region support AI startups, providing them with resources, mentorship, and funding.
The NSW government has been proactive in promoting AI and technology through various initiatives and funding programs. The state’s commitment to advancing digital innovation is evident in its strategic plans and investments in AI research, infrastructure, and workforce development. Programs designed to support the adoption of AI technologies across industries enhance the region's attractiveness to AI-driven enterprises.
Sydney, as the financial and business hub of Australia, has a high concentration of industries that are rapidly adopting AI technologies. Financial services, healthcare, and retail sectors in NSW are increasingly integrating AI to improve operational efficiencies, enhance customer experiences, and drive innovation. This demand creates a fertile environment for AI companies and professionals, further strengthening the region’s dominance in the market.
NSW benefits from a skilled workforce and top-tier educational institutions that offer specialized training in AI and related fields. The availability of highly educated talent, including data scientists and AI engineers, supports the growth and sustainability of the AI sector in the region.
Key Market Players
- Alphabet Inc.
- Amazon Web Services, Inc.
- Microsoft Corporation
- IBM Corporation
- NVIDIA Corporation
- Salesforce Inc.
- Oracle Corporation
- SAP SE
- Tesla, Inc.
- Siemens AG
In this report, the Australia Artificial Intelligence Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
- Australia Artificial Intelligence Market, By Technology:
- Machine Learning
- Natural Language Processing (NLP)
- Computer Vision
- Robotics
- Others
- Australia Artificial Intelligence Market, By Component:
- Software
- Hardware
- Services
- Australia Artificial Intelligence Market, By End-User Industry:
- Healthcare
- Finance
- Retail
- Manufacturing
- Automotive
- Agriculture
- Others
- Australia Artificial Intelligence Market, By Deployment Model:
- On-premises
- Cloud
- Hybrid
- Australia Artificial Intelligence Market, By Region:
- New South Wales
- Northern Territory
- Queensland
- South Australia
- Tasmania
- Victoria & Western Australia
Company Profiles: Detailed analysis of the major companies present in the Australia Artificial Intelligence Market.
Available Customizations:
Australia Artificial Intelligence Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to five).
1. PRODUCT OVERVIEW
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
2.5.1. Secondary Research
2.5.2. Primary Research
2.6. Approach for the Market Study
2.6.1. The Bottom-Up Approach
2.6.2. The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
2.8.1. Data Triangulation & Validation
3. EXECUTIVE SUMMARY
4. VOICE OF CUSTOMER
5. AUSTRALIA ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Technology (Machine Learning, Natural Language Processing (NLP), Computer Vision, Robotics, Others)
5.2.2. By Component (Software, Hardware, Services)
5.2.3. By End-User Industry (Healthcare, Finance, Retail, Manufacturing, Automotive, Agriculture, Others)
5.2.4. By Deployment Model (On-premises, Cloud, Hybrid)
5.2.5. By Region (New South Wales, Northern Territory, Queensland, South Australia, Tasmania, Victoria & Western Australia)
5.2.6. By Company (2023)
5.3. Market Map
6. NEW SOUTH WALES ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Technology
6.2.2. By Component
6.2.3. By End-User Industry
6.2.4. By Deployment Model
7. NORTHERN TERRITORY ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Technology
7.2.2. By Component
7.2.3. By End-User Industry
7.2.4. By Deployment Model
8. QUEENSLAND ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Technology
8.2.2. By Component
8.2.3. By End-User Industry
8.2.4. By Deployment Model
9. SOUTH AUSTRALIA ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Technology
9.2.2. By Component
9.2.3. By End-User Industry
9.2.4. By Deployment Model
10. TASMANIA ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Technology
10.2.2. By Component
10.2.3. By End-User Industry
10.2.4. By Deployment Model
11. VICTORIA & WESTERN AUSTRALIA ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Technology
11.2.2. By Component
11.2.3. By End-User Industry
11.2.4. By Deployment Model
12. MARKET DYNAMICS
12.1. Drivers
12.2. Challenges
13. MARKET TRENDS & DEVELOPMENTS
14. AUSTRALIA ECONOMIC PROFILE
15. COMPANY PROFILES
15.1. Alphabet Inc.
15.1.1. Business Overview
15.1.2. Key Revenue and Financials
15.1.3. Recent Developments
15.1.4. Key Personnel/Key Contact Person
15.1.5. Key Product/Services Offered
15.2. Amazon Web Services, Inc.
15.2.1. Business Overview
15.2.2. Key Revenue and Financials
15.2.3. Recent Developments
15.2.4. Key Personnel/Key Contact Person
15.2.5. Key Product/Services Offered
15.3. Microsoft Corporation
15.3.1. Business Overview
15.3.2. Key Revenue and Financials
15.3.3. Recent Developments
15.3.4. Key Personnel/Key Contact Person
15.3.5. Key Product/Services Offered
15.4. IBM Corporation
15.4.1. Business Overview
15.4.2. Key Revenue and Financials
15.4.3. Recent Developments
15.4.4. Key Personnel/Key Contact Person
15.4.5. Key Product/Services Offered
15.5. NVIDIA Corporation
15.5.1. Business Overview
15.5.2. Key Revenue and Financials
15.5.3. Recent Developments
15.5.4. Key Personnel/Key Contact Person
15.5.5. Key Product/Services Offered
15.6. Salesforce Inc.
15.6.1. Business Overview
15.6.2. Key Revenue and Financials
15.6.3. Recent Developments
15.6.4. Key Personnel/Key Contact Person
15.6.5. Key Product/Services Offered
15.7. Oracle Corporation
15.7.1. Business Overview
15.7.2. Key Revenue and Financials
15.7.3. Recent Developments
15.7.4. Key Personnel/Key Contact Person
15.7.5. Key Product/Services Offered
15.8. SAP SE
15.8.1. Business Overview
15.8.2. Key Revenue and Financials
15.8.3. Recent Developments
15.8.4. Key Personnel/Key Contact Person
15.8.5. Key Product/Services Offered
15.9. Tesla, Inc.
15.9.1. Business Overview
15.9.2. Key Revenue and Financials
15.9.3. Recent Developments
15.9.4. Key Personnel/Key Contact Person
15.9.5. Key Product/Services Offered
15.10. Siemens AG
15.10.1. Business Overview
15.10.2. Key Revenue and Financials
15.10.3. Recent Developments
15.10.4. Key Personnel/Key Contact Person
15.10.5. Key Product/Services Offered
16. STRATEGIC RECOMMENDATIONS
17. ABOUT US & DISCLAIMER
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Formulation of the Scope
2.4. Assumptions and Limitations
2.5. Sources of Research
2.5.1. Secondary Research
2.5.2. Primary Research
2.6. Approach for the Market Study
2.6.1. The Bottom-Up Approach
2.6.2. The Top-Down Approach
2.7. Methodology Followed for Calculation of Market Size & Market Shares
2.8. Forecasting Methodology
2.8.1. Data Triangulation & Validation
3. EXECUTIVE SUMMARY
4. VOICE OF CUSTOMER
5. AUSTRALIA ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Technology (Machine Learning, Natural Language Processing (NLP), Computer Vision, Robotics, Others)
5.2.2. By Component (Software, Hardware, Services)
5.2.3. By End-User Industry (Healthcare, Finance, Retail, Manufacturing, Automotive, Agriculture, Others)
5.2.4. By Deployment Model (On-premises, Cloud, Hybrid)
5.2.5. By Region (New South Wales, Northern Territory, Queensland, South Australia, Tasmania, Victoria & Western Australia)
5.2.6. By Company (2023)
5.3. Market Map
6. NEW SOUTH WALES ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Technology
6.2.2. By Component
6.2.3. By End-User Industry
6.2.4. By Deployment Model
7. NORTHERN TERRITORY ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Technology
7.2.2. By Component
7.2.3. By End-User Industry
7.2.4. By Deployment Model
8. QUEENSLAND ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Technology
8.2.2. By Component
8.2.3. By End-User Industry
8.2.4. By Deployment Model
9. SOUTH AUSTRALIA ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Technology
9.2.2. By Component
9.2.3. By End-User Industry
9.2.4. By Deployment Model
10. TASMANIA ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Technology
10.2.2. By Component
10.2.3. By End-User Industry
10.2.4. By Deployment Model
11. VICTORIA & WESTERN AUSTRALIA ARTIFICIAL INTELLIGENCE MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Technology
11.2.2. By Component
11.2.3. By End-User Industry
11.2.4. By Deployment Model
12. MARKET DYNAMICS
12.1. Drivers
12.2. Challenges
13. MARKET TRENDS & DEVELOPMENTS
14. AUSTRALIA ECONOMIC PROFILE
15. COMPANY PROFILES
15.1. Alphabet Inc.
15.1.1. Business Overview
15.1.2. Key Revenue and Financials
15.1.3. Recent Developments
15.1.4. Key Personnel/Key Contact Person
15.1.5. Key Product/Services Offered
15.2. Amazon Web Services, Inc.
15.2.1. Business Overview
15.2.2. Key Revenue and Financials
15.2.3. Recent Developments
15.2.4. Key Personnel/Key Contact Person
15.2.5. Key Product/Services Offered
15.3. Microsoft Corporation
15.3.1. Business Overview
15.3.2. Key Revenue and Financials
15.3.3. Recent Developments
15.3.4. Key Personnel/Key Contact Person
15.3.5. Key Product/Services Offered
15.4. IBM Corporation
15.4.1. Business Overview
15.4.2. Key Revenue and Financials
15.4.3. Recent Developments
15.4.4. Key Personnel/Key Contact Person
15.4.5. Key Product/Services Offered
15.5. NVIDIA Corporation
15.5.1. Business Overview
15.5.2. Key Revenue and Financials
15.5.3. Recent Developments
15.5.4. Key Personnel/Key Contact Person
15.5.5. Key Product/Services Offered
15.6. Salesforce Inc.
15.6.1. Business Overview
15.6.2. Key Revenue and Financials
15.6.3. Recent Developments
15.6.4. Key Personnel/Key Contact Person
15.6.5. Key Product/Services Offered
15.7. Oracle Corporation
15.7.1. Business Overview
15.7.2. Key Revenue and Financials
15.7.3. Recent Developments
15.7.4. Key Personnel/Key Contact Person
15.7.5. Key Product/Services Offered
15.8. SAP SE
15.8.1. Business Overview
15.8.2. Key Revenue and Financials
15.8.3. Recent Developments
15.8.4. Key Personnel/Key Contact Person
15.8.5. Key Product/Services Offered
15.9. Tesla, Inc.
15.9.1. Business Overview
15.9.2. Key Revenue and Financials
15.9.3. Recent Developments
15.9.4. Key Personnel/Key Contact Person
15.9.5. Key Product/Services Offered
15.10. Siemens AG
15.10.1. Business Overview
15.10.2. Key Revenue and Financials
15.10.3. Recent Developments
15.10.4. Key Personnel/Key Contact Person
15.10.5. Key Product/Services Offered
16. STRATEGIC RECOMMENDATIONS
17. ABOUT US & DISCLAIMER
