Finance

Decode Global Wins ‘Best IB/Affiliate Program – Australia’ at 2024 FAME Awards

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    Sydney, Australia, September 2nd, 2024, FinanceWire

    Decode Global, a leading broker in the Forex and CFDs industry, is proud to announce that it has been honored with the “Best IB/Affiliate Program – Australia” at Financial Achievements in Markets Excellency (FAME) awards in Australia 2024. This award highlights the company’s efforts in delivering a reliable and effective IB (Introducing Broker) and affiliate program within the forex industry.

    The FAME Awards, presented at the Finance Magnates Pacific Summit in Sydney, are renowned for recognizing excellence in the financial markets. The award for Best IB/Affiliate Program acknowledges Decode Global’s commitment to providing the best solutions for their valued IB partners, helping partners to enhance their business needs and grow their networks.

    Each IB plan is customized by Decode Global based on the specific requirements of the IB, ensuring that partners receive tailored support that aligns with their business goals.

    “This award is an acknowledgment of the work we have put into developing a strong and supportive IB and affiliate program,” said Zac Tang, the Regional Director of Decode Global. “We will continue to focus on delivering value to our partners through innovative solutions and responsive service.”

    This award follows a series of successful initiatives by Decode Global, including the recent integration of MT4 and MT5 trading platforms under the unified platform, providing IBs simple management for multiple platforms and accounts. Meanwhile, the IB system has been upgraded recently, offering partners the tools and analysis they need to manage their teams: referral commissions, team management, comprehensive data analytics, multi-account management, and copy trading.

    About Decode Global

    Decode Global Limited is a diversified financial services company for both retail and wholesale clients, with a leading online Forex and CFD business. Decode Global Limited brings together top elites with decades of experience from major banks, investment banks, fund management, accounting and tax industries. This has allowed the company to develop rapidly and attract CFD traders at all levels world-wide.

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    Decode
    pr@decode-group.com

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    Asia-Pacific Artificial Intelligence (AI) Chipsets Market 2024-2031: Identify and Capitalize on the Countries Showcasing the Highest Growth Potential

    2024-09-18T08:30:44Z

    Dublin, Sept. 18, 2024 (GLOBE NEWSWIRE) -- The "Asia-Pacific Artificial Intelligence (AI) Chipsets Market Size, Share & Trends Analysis, 2024-2031" report has been added to ResearchAndMarkets.com's offering.

    The Asia Pacific Artificial Intelligence (AI) Chipsets Market should witness market growth of 30.3% CAGR during the forecast period, 2024-2031.

    The China market dominated the Asia Pacific Artificial Intelligence (AI) Chipsets Market by country in 2023, and should continue to be a dominant market till 2031; thereby, achieving a market value of $21.51 billion by 2031. The Japanese market is registering a CAGR of 29.7% during 2024-2031. Additionally, the Indian market should showcase a CAGR of 31.2% during 2024-2031.

    The adoption of AI chipsets is rapidly increasing across various industries and sectors due to their ability to accelerate AI tasks, enhance performance, and enable intelligent applications. Businesses increasingly leverage AI-driven solutions to gain insights from data, automate processes, improve decision-making, and enhance customer experiences. AI chipsets facilitate the execution of complex AI algorithms and machine learning models, driving applications like NLP, computer vision, predictive analytics, and autonomous systems.

    Moreover, the continuous advancements in AI algorithms, deep learning models, and neural network architectures drive the need for high-performance hardware solutions capable of handling massive datasets and complex computations. AI chipsets provide the computational power and efficiency to effectively train and deploy AI models. The proliferation of edge computing architectures, wherein AI processing tasks are performed locally on edge devices, drives the adoption of AI chipsets with edge computing capabilities.

    The fintech industry in India has experienced rapid growth driven by increasing smartphone penetration, digital payment adoption, and government initiatives promoting financial inclusion. The Fintech business in India is expanding at one of the quickest rates in the world, according to the National Investment Promotion and Facilitation Agency. The market for fintech in India is expected to reach $150 billion by 2025, from $50 billion in 2021. By 2030, the fintech business is expected to generate $2.1 trillion in opportunity. In 2022, fintech startups in India raised $5.65 billion. Between 2021 and 2022, the number of distinct institutional investors in Indian fintech nearly doubled, from 535 to 1019, respectively.

    Additionally, as businesses and government agencies in Australia invest in AI technologies to drive innovation and efficiency, there is a growing demand for AI chipsets to power AI-driven applications and services. According to the Australian Government, digital innovations, including AI, could contribute $315 billion to Australia's GDP by 2030. Australian spending on AI systems will grow to over $3.6 billion by 2025, at a compounding annual growth rate of 24.4% between 2020 and 2025. Therefore, the rising fintech industry and increasing expenditure on AI technology in the region drive the market's growth.

    List of Key Companies Profiled

    • Intel Corporation
    • NVIDIA Corporation
    • IBM Corporation
    • Micron Technology, Inc.
    • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
    • Samsung Electronics Co. Ltd. (Samsung Group)
    • Apple, Inc.
    • Huawei Technologies Co. Ltd. (Huawei Investment & Holding Co. Ltd.)
    • Texas Instruments, Inc.
    • NXP Semiconductors N.V.

    Market Segmentation

    By Computing Technology

    • Cloud Computing
    • Edge Computing

    By Function

    • Inference
    • Training

    By Chipset Type

    • GPU
    • CPU
    • FPGA
    • ASIC
    • Others

    By Vertical

    • Consumer Electronics
    • Automotive
    • Healthcare
    • Manufacturing
    • Retail & E-Commerce
    • BFSI
    • Marketing
    • Others

    By Country

    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Malaysia
    • Rest of Asia Pacific

    For more information about this report visit https://www.researchandmarkets.com/r/9spj10

    About ResearchAndMarkets.com
    ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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