Market Forecast By Technology (Touch-based , Touchless), By Hardware (Sensors, Cameras, Storage Devices and Processors, Others), By Component (Software, Hardware), By Vertical (Academia and Research, Media and Entertainment, Government and Defense, Healthcare and Life Sciences, IT and Telecom, Retail and eCommerce, Automotive, BFSI), By Software (Speech Recognition, Gesture Recognition, Facial Feature Extraction, Analytics Software, Enterprise Software) And Competitive Landscape
Product Code: ETC4397256 | Publication Date: Jul 2023 | Updated Date: Apr 2025 | Product Type: Report | |
Publisher: 6Wresearch | Author: Shubham Padhi | No. of Pages: 70 | No. of Figures: 35 | No. of Tables: 5 |
Report Name | Australia Affective Computing Market |
Forecast period | 2025-2031 |
CAGR | 3.5% |
Growing Sector | Media and entertainment |
Australia Affective Computing Market report thoroughly covers the market by Technology, Hardware, component, vertical and Software. 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 Affective Computing Market is expected to grow at a rapid pace in the coming years, driven by increasing adoption of AI-based solutions in various industries such as healthcare, retail, education, and entertainment. The country's favorable government policies and initiatives supporting the development of AI technology have also played a significant role in the growth of this market. Additionally, the growing demand for personalized user experiences and the need for efficient customer service have further fueled the adoption of affective computing in Australia.
According to 6Wresearch, the Australia Affective Computing Market size is projected to grow at the CAGR of 3.5% during the forecast period of 2025-2031. One of the major drivers for the growth of market in Australia is the increasing demand for personalized and interactive experiences across different industries. With the rise of digital platforms, companies are looking for ways to engage with their customers on a more emotional level, which has led to a surge in demand for affective computing solutions. Moreover, the growing trend of wearable devices and virtual assistants has also contributed to the growth of this market. These devices and applications use affective computing to understand and respond to human emotions, making them more intuitive and user-friendly. Despite the many benefits of affective computing, there are also some challenges that need to be addressed in order for the market to reach its full potential. One of the main challenges is privacy concerns surrounding the collection and use of personal data for emotion recognition. This has led to a call for stricter regulations and guidelines to protect the privacy of individuals. Another challenge is the high cost associated with implementing affective computing solutions, which can be a barrier for smaller businesses and organizations. Additionally, there is also a lack of skilled professionals in this field, making it difficult for companies to find qualified individuals to develop and implement affective computing technologies.
The Australian government has recognized the potential of affective computing and has introduced several policies and funding schemes to bolster research and innovation in the field. Initiatives like the National Innovation and Science Agenda (NISA) provide support for technology-driven sectors, including affective computing. Additionally, tax incentives for research and development encourage companies to invest in pioneering technologies that have the potential to revolutionize user interactions.
Several key players are dominating the affective computing landscape in Australia. Companies like Emotiv, known for their brain-computer interface technology, and Realeyes, which specializes in emotion recognition through video analytics, are at the forefront of the industry. These organizations are not only shaping the market within the country but also influencing the international arena with their cutting-edge work in understanding and interpreting human emotions through technology and contributing towards increasing Australia Affective Computing Market Growth.
The future of Affective computing Market in Australia looks promising, with continued advancements in technology and increasing acceptance of emotional intelligence as an important aspect of human-computer interaction. However, it is important for ethical and privacy concerns to be addressed and regulations put in place to ensure responsible use of affective computing. In the coming years, we can expect to see more businesses and organizations incorporating affective computing into their operations. This will not only improve customer experience but also provide valuable insights for companies to better understand and engage with their customers on an emotional level. Moreover, as affective computing becomes more mainstream, we can expect to see an increase in job opportunities for individuals skilled in this area. From developers to data scientists and psychologists, there will be a need for a diverse range of professionals to push the boundaries of affective computing and its applications.
According to Ravi Bhandari, Research Head, 6Wresearch, on the basis of technology, touchless technology is expected to experience high growth in the market. This technology allows for interaction without any physical contact, making it more convenient and hygienic. With the ongoing COVID-19 pandemic, the demand for touchless technology has further increased in various industries such as retail and healthcare.
In terms of hardware, the market is further divided into sensors, cameras, storage devices and processors, and others. Sensors are expected to witness a high growth rate owing to their ability to capture biological signals such as facial expressions, voice patterns, and gestures. These sensors are used in various affective computing applications like facial expression recognition, speech recognition and gesture recognition.
In terms of components, software is expected to hold a significant share in the market due to its ability to analyze and interpret human emotions through facial recognition techniques, speech analytics, and other pattern recognition methods. Services such as consulting, training, and maintenance are also gaining popularity in the market as companies are investing in training their employees to use affective computing technology effectively.
The various verticals where affective computing is being implemented include academia and research, media and entertainment, government and defense, healthcare and life sciences, IT and telecom, retail and eCommerce, and others. The media and entertainment sector is expected to hold the largest share in the market due to the widespread use of affective computing in video games, virtual reality experiences, and social media platforms.
On the basis of software, facial feature extraction software is expected to dominate the market. This software uses advanced algorithms to analyze facial expressions and emotions, making it a valuable tool for businesses in areas such as customer service and marketing.
The report offers a comprehensive study of the subsequent market segments:
By Component
By Vertical
By Software
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 Affective Computing Market Overview |
3.1 Australia Country Macro Economic Indicators |
3.2 Australia Affective Computing Market Revenues & Volume, 2021 & 2031F |
3.3 Australia Affective Computing Market - Industry Life Cycle |
3.4 Australia Affective Computing Market - Porter's Five Forces |
3.5 Australia Affective Computing Market Revenues & Volume Share, By Technology , 2021 & 2031F |
3.6 Australia Affective Computing Market Revenues & Volume Share, By Hardware , 2021 & 2031F |
3.7 Australia Affective Computing Market Revenues & Volume Share, By Component , 2021 & 2031F |
3.8 Australia Affective Computing Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
3.9 Australia Affective Computing Market Revenues & Volume Share, By Software, 2021 & 2031F |
4 Australia Affective Computing Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Australia Affective Computing Market Trends |
6 Australia Affective Computing Market, By Types |
6.1 Australia Affective Computing Market, By Technology |
6.1.1 Overview and Analysis |
6.1.2 Australia Affective Computing Market Revenues & Volume, By Technology , 2021-2031F |
6.1.3 Australia Affective Computing Market Revenues & Volume, By Touch-based , 2021-2031F |
6.1.4 Australia Affective Computing Market Revenues & Volume, By Touchless, 2021-2031F |
6.2 Australia Affective Computing Market, By Hardware |
6.2.1 Overview and Analysis |
6.2.2 Australia Affective Computing Market Revenues & Volume, By Sensors, 2021-2031F |
6.2.3 Australia Affective Computing Market Revenues & Volume, By Cameras, 2021-2031F |
6.2.4 Australia Affective Computing Market Revenues & Volume, By Storage Devices and Processors, 2021-2031F |
6.2.5 Australia Affective Computing Market Revenues & Volume, By Others, 2021-2031F |
6.3 Australia Affective Computing Market, By Component |
6.3.1 Overview and Analysis |
6.3.2 Australia Affective Computing Market Revenues & Volume, By Software, 2021-2031F |
6.3.3 Australia Affective Computing Market Revenues & Volume, By Hardware, 2021-2031F |
6.4 Australia Affective Computing Market, By Vertical |
6.4.1 Overview and Analysis |
6.4.2 Australia Affective Computing Market Revenues & Volume, By Academia and Research, 2021-2031F |
6.4.3 Australia Affective Computing Market Revenues & Volume, By Media and Entertainment, 2021-2031F |
6.4.4 Australia Affective Computing Market Revenues & Volume, By Government and Defense, 2021-2031F |
6.4.5 Australia Affective Computing Market Revenues & Volume, By Healthcare and Life Sciences, 2021-2031F |
6.4.6 Australia Affective Computing Market Revenues & Volume, By IT and Telecom, 2021-2031F |
6.4.7 Australia Affective Computing Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.4.8 Australia Affective Computing Market Revenues & Volume, By BFSI, 2021-2031F |
6.4.9 Australia Affective Computing Market Revenues & Volume, By BFSI, 2021-2031F |
6.5 Australia Affective Computing Market, By Software |
6.5.1 Overview and Analysis |
6.5.2 Australia Affective Computing Market Revenues & Volume, By Speech Recognition, 2021-2031F |
6.5.3 Australia Affective Computing Market Revenues & Volume, By Gesture Recognition, 2021-2031F |
6.5.4 Australia Affective Computing Market Revenues & Volume, By Facial Feature Extraction, 2021-2031F |
6.5.5 Australia Affective Computing Market Revenues & Volume, By Analytics Software, 2021-2031F |
6.5.6 Australia Affective Computing Market Revenues & Volume, By Enterprise Software, 2021-2031F |
7 Australia Affective Computing Market Import-Export Trade Statistics |
7.1 Australia Affective Computing Market Export to Major Countries |
7.2 Australia Affective Computing Market Imports from Major Countries |
8 Australia Affective Computing Market Key Performance Indicators |
9 Australia Affective Computing Market - Opportunity Assessment |
9.1 Australia Affective Computing Market Opportunity Assessment, By Technology , 2021 & 2031F |
9.2 Australia Affective Computing Market Opportunity Assessment, By Hardware , 2021 & 2031F |
9.3 Australia Affective Computing Market Opportunity Assessment, By Component , 2021 & 2031F |
9.4 Australia Affective Computing Market Opportunity Assessment, By Vertical, 2021 & 2031F |
9.5 Australia Affective Computing Market Opportunity Assessment, By Software, 2021 & 2031F |
10 Australia Affective Computing Market - Competitive Landscape |
10.1 Australia Affective Computing Market Revenue Share, By Companies, 2024 |
10.2 Australia Affective Computing Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |