Dublin, Aug. 09, 2022 (GLOBE NEWSWIRE) -- The "Asia Pacific Artificial Intelligence In Fintech Market Size, Share & Industry Trends Analysis Report By Component (Solutions and Services), By Deployment (On-premise and Cloud), By Application, By Country and Growth Forecast, 2022 - 2028" report has been added to ResearchAndMarkets.com's offering. The Asia Pacific Artificial Intelligence In Fintech Market is expected to witness market growth of 17.7% CAGR during the forecast period (2022-2028). Artificial intelligence enhances outcomes by employing approaches derived from human intellect but applied at a scale that is not human. Fintech firms have been transformed in recent years as a result of the computational arms race. Additionally, near-endless volumes of data are altering AI to unprecedented heights, and smart contracts may simply be a continuation of the current market trend.

The Artificial Intelligence in Fashion market in Asia Pacific is expected to grow from US$ 3,718.6

The Asia Pacific artificial intelligence in fashion market accounted for US$ 55. 1 Mn in 2018 and is expected to grow at a CAGR of 39. 0% over the forecast period 2019-2027, to account for US$ 1015. GNW Real-time consumer behavior insights and increased operational efficiency are driving the adoption of artificial intelligence in fashion industry. Moreover, the availability of a large amount of data originating from different data sources is one of the key factors driving the growth of AI technology across the fashion industry. Artificial Intelligence has already disrupted several industries, including the retail and fashion industry. The fashion industry so far has been one of the primary adopters of the technology. The fashion retailers these days are leveraging several revolutionary technologies, including machine learning, like augmented reality (AR) and artificial intelligence (AI), to make seamless shopping experiences across the channels, from online models to brick and mortar stores.

This IDC study provides IDC's 2020 top 10 predictions for artificial intelligence (AI). "Artificial Intelligence is poised to be more prolific and span every aspect of our lives and business. AI disrupters will enjoy a differentiated and sustainable measure of success ranging from superior customer engagements, accelerated rates of innovation, higher competitiveness, higher margins, and productive employees. Organizations worldwide must evaluate their vision and transform their people, processes, technology, and data readiness to unleash the power of AI and thrive in the digital era," said Ritu Jyoti, program vice president, Artificial Intelligence Strategies. "However, AI's rate of adoption will be challenged by evolving national regulations, a lack of an ethical foundation, and a lack of transparent and self-explaining algorithms critical for the trust and avoidance of unintended negative outcomes."

IDC's Asia/Pacific Artificial Intelligence and Data Analytics Strategies examine the key market trends, competitive landscapes, technologies, and end users' buying behaviors from IT and LOB standpoints, with focused research on areas of AI and Big Data (BD) -- a new generation of software designed to extract value from very large volumes and types of data. This service also provides quantitative data/qualitative insights to help customers identify key areas of growth by country, maturity, functional levels, and vertical markets and understand platforms for the development of analytic and cognitive applications by combining supply and demand perspectives.

IDC's 2019 Asia/Pacific (excluding Japan) (APEJ) AI Adoption Survey was conducted in 2Q19. The survey reached 710 organizations in 12 locations: Australia, China, Hong Kong, India, Indonesia, Malaysia, New Zealand, Philippines, Singapore, Taiwan, South Korea, and Thailand. It covered seven industries: financial service, manufacturing, healthcare and life science, professional and personal services, transportations and communications, retail and wholesale, and government and education. We will provide a series of reports to present the highlighted findings. This report, which is the second of the series, talks about the most voted reasons for deterred investment and project failure.