Market Forecast By Component (Hardware, Software), By Function (Training, Inference), By Application (Industrial, Non-industrial), By End Use (Automotive, Consumer Electronics, Healthcare, Retail, Security & Surveillance, Manufacturing, Agriculture, Transportation & Logistics) And Competitive Landscape
Product Code: ETC4581456 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
Publisher: 6Wresearch | Author: Summon Dutta | No. of Pages: 70 | No. of Figures: 35 | No. of Tables: 5 |
Report Name | Australia AI In Computer Vision Market |
Forecast period | 2025-2031 |
CAGR | 4.5% |
Growing Sector | Healthcare |
Australia AI In Computer Vision Market report thoroughly covers the market by component, function, application and End -use. The market outlook report provides an unbiased and detailed analysis of the ongoing market trends, opportunities/high growth areas, and market drivers which would help the stakeholders to devise and align their market strategies according to the current and future market dynamics.
Australia AI In Computer Vision Market is experiencing significant growth, with the increasing adoption of AI-powered imaging technologies in various industries such as healthcare, retail, and manufacturing. This growth can be attributed to a number of factors including advancements in technology, rising demand for automation and efficiency, and government initiatives. The application of artificial intelligence (AI) in computer vision has been growing rapidly in recent years, particularly in the healthcare sector. This technology has shown great potential in improving diagnostic accuracy, enhancing patient care, and streamlining processes. As a result, the Australia AI in computer vision market is expected to witness significant growth in the coming years.
According to 6Wresearch, the Australia AI In Computer Vision Market size is projected to grow at the CAGR of 4.5% during the forecast period of 2025-2031. One of the main drivers for the Australia AI in computer vision market is the rise in demand for advanced security and surveillance systems. With the increasing number of security threats and the need for enhanced monitoring capabilities, there is a growing demand for AI-based computer vision systems that can analyze real-time video footage and detect anomalies or potential threats. This has led to the implementation of AI-powered surveillance systems in various public places, such as airports, shopping malls, and government buildings. Another major driver for this market is the growing adoption of AI in the healthcare sector. With an aging population and rising healthcare costs, there is a pressing need for more efficient and accurate medical diagnosis and treatment methods. AI-based computer vision systems can assist doctors in analyzing medical images, identifying diseases or abnormalities, and providing personalized treatment plans. This has led to the increased adoption of AI-powered imaging technologies in hospitals and clinics. the AI in computer vision market in Australia also faces some challenges. One of the main challenges is the lack of skilled professionals and expertise in this field. As AI technology continues to evolve and become more sophisticated, there is a growing need for trained professionals who can develop, implement, and maintain these systems. The shortage of skilled workers in this field could hinder the growth of the market and may lead to slower adoption rates. Furthermore, there are also concerns about the ethical implications of using AI in computer vision. With the ability to analyze large amounts of data and make decisions based on algorithms, there is a fear that these systems may exhibit bias or discrimination. This has led to calls for regulations and guidelines to ensure the ethical use of AI in computer vision and to address any potential biases.
The Australian government has initiated several policies designed to foster innovation and growth in the AI and computer vision sectors. Through its Digital Economy Strategy, the government is investing in AI to keep pace with global advancements. Notably, the AI Action Plan is part of the strategy to drive the adoption of AI technologies, including computer vision across industries, aiming to position Australia as a leader in the development and application of AI. Supporting schemes include funding for technology hubs and partnerships with educational institutions to advance research and generate a skilled workforce.
In the landscape of the Australia AI in computer vision industry, notable players are emerging as leaders in powering the innovation front. Companies like Appen Limited play a significant role with data annotation and collection services that enhance machine learning algorithms crucial to computer vision systems. Another key player, Seeing Machines, specializes in advanced AI algorithms for driver monitoring systems that are integral to automotive safety. Furthermore, Canon Australia has made strides in incorporating AI into its medical imaging equipment, contributing to more precise diagnostics and expanding the utility of computer vision in healthcare. These organizations represent a fraction of the participants actively pushing the envelope in the domestic AI computer vision industry.
With the current momentum, the future of Australia's AI in computer vision market looks promising. As technology advances, we can anticipate broader integration of AI in various sectors, including agriculture for crop analysis, retail for inventory management, and in smart cities for traffic control and public safety. Investment in AI startups by venture capitalists is also projected to rise, potentially leading to innovative applications and services. Additionally, as public awareness and understanding of AI benefits increase, consumer demand for AI-enabled products and services is likely to surge, creating new market opportunities. Regulations will play a crucial role in shaping the ethical AI landscape, ensuring that growth is sustainable and responsible. Moreover, partnerships between academia and industry are expected to flourish, which will be crucial for nurturing the necessary talent and fostering innovation, leading to Australia AI in Computer Vision Market Growth.
The hardware segment is expected to dominate the market for AI in computer vision. This can be attributed to the rising use of high-performance computing systems, GPUs, and processors for image processing. Additionally, there is an increasing demand for specialized hardware, such as vision processing units (VPUs), which are specifically designed to handle complex visual data.
According to Ravi Bhandari, Research Head, 6Wresearch, the object detection segment is expected to dominate the market, owing to its use in various applications such as autonomous vehicles and surveillance systems. Object detection algorithms allow computers to identify and locate specific objects within an image or video, making it a crucial component of computer vision technology.
On the basis of end -use, the automotive industry is expected to have the largest market share for AI in computer vision. The use of computer vision technology in autonomous vehicles has revolutionized the transportation sector, making it safer and more efficient.
The report offers a comprehensive study of the subsequent market segments:
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Australia AI In Computer Vision Market Overview |
3.1 Australia Country Macro Economic Indicators |
3.2 Australia AI In Computer Vision Market Revenues & Volume, 2021 & 2031F |
3.3 Australia AI In Computer Vision Market - Industry Life Cycle |
3.4 Australia AI In Computer Vision Market - Porter's Five Forces |
3.5 Australia AI In Computer Vision Market Revenues & Volume Share, By Component, 2021 & 2031F |
3.6 Australia AI In Computer Vision Market Revenues & Volume Share, By Function, 2021 & 2031F |
3.7 Australia AI In Computer Vision Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.8 Australia AI In Computer Vision Market Revenues & Volume Share, By End Use, 2021 & 2031F |
4 Australia AI In Computer Vision Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for automation and efficiency in various industries |
4.2.2 Technological advancements in artificial intelligence and computer vision |
4.2.3 Growing investments in AI research and development |
4.3 Market Restraints |
4.3.1 High costs associated with implementing AI in computer vision solutions |
4.3.2 Data privacy and security concerns |
4.3.3 Lack of skilled professionals in AI and computer vision technologies |
5 Australia AI In Computer Vision Market Trends |
6 Australia AI In Computer Vision Market, By Types |
6.1 Australia AI In Computer Vision Market, By Component |
6.1.1 Overview and Analysis |
6.1.2 Australia AI In Computer Vision Market Revenues & Volume, By Component, 2021-2031F |
6.1.3 Australia AI In Computer Vision Market Revenues & Volume, By Hardware, 2021-2031F |
6.1.4 Australia AI In Computer Vision Market Revenues & Volume, By Software, 2021-2031F |
6.2 Australia AI In Computer Vision Market, By Function |
6.2.1 Overview and Analysis |
6.2.2 Australia AI In Computer Vision Market Revenues & Volume, By Training, 2021-2031F |
6.2.3 Australia AI In Computer Vision Market Revenues & Volume, By Inference, 2021-2031F |
6.3 Australia AI In Computer Vision Market, By Application |
6.3.1 Overview and Analysis |
6.3.2 Australia AI In Computer Vision Market Revenues & Volume, By Industrial, 2021-2031F |
6.3.3 Australia AI In Computer Vision Market Revenues & Volume, By Non-industrial, 2021-2031F |
6.4 Australia AI In Computer Vision Market, By End Use |
6.4.1 Overview and Analysis |
6.4.2 Australia AI In Computer Vision Market Revenues & Volume, By Automotive, 2021-2031F |
6.4.3 Australia AI In Computer Vision Market Revenues & Volume, By Consumer Electronics, 2021-2031F |
6.4.4 Australia AI In Computer Vision Market Revenues & Volume, By Healthcare, 2021-2031F |
6.4.5 Australia AI In Computer Vision Market Revenues & Volume, By Retail, 2021-2031F |
6.4.6 Australia AI In Computer Vision Market Revenues & Volume, By Security & Surveillance, 2021-2031F |
6.4.7 Australia AI In Computer Vision Market Revenues & Volume, By Manufacturing, 2021-2031F |
6.4.8 Australia AI In Computer Vision Market Revenues & Volume, By Transportation & Logistics, 2021-2031F |
6.4.9 Australia AI In Computer Vision Market Revenues & Volume, By Transportation & Logistics, 2021-2031F |
7 Australia AI In Computer Vision Market Import-Export Trade Statistics |
7.1 Australia AI In Computer Vision Market Export to Major Countries |
7.2 Australia AI In Computer Vision Market Imports from Major Countries |
8 Australia AI In Computer Vision Market Key Performance Indicators |
8.1 Percentage increase in the adoption rate of AI in computer vision solutions |
8.2 Number of partnerships and collaborations within the AI and computer vision industry |
8.3 Rate of innovation and introduction of new AI-driven computer vision products and services |
9 Australia AI In Computer Vision Market - Opportunity Assessment |
9.1 Australia AI In Computer Vision Market Opportunity Assessment, By Component, 2021 & 2031F |
9.2 Australia AI In Computer Vision Market Opportunity Assessment, By Function, 2021 & 2031F |
9.3 Australia AI In Computer Vision Market Opportunity Assessment, By Application, 2021 & 2031F |
9.4 Australia AI In Computer Vision Market Opportunity Assessment, By End Use, 2021 & 2031F |
10 Australia AI In Computer Vision Market - Competitive Landscape |
10.1 Australia AI In Computer Vision Market Revenue Share, By Companies, 2024 |
10.2 Australia AI In Computer Vision Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |