市場調查報告書

IDC FutureScape:人工智能 (AI)的全球市場的未來預測 (2020年)

IDC FutureScape: Worldwide Artificial Intelligence 2020 Predictions

出版商 IDC 商品編碼 738780
出版日期 內容資訊 英文 18 Pages
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IDC FutureScape:人工智能 (AI)的全球市場的未來預測 (2020年) IDC FutureScape: Worldwide Artificial Intelligence 2020 Predictions
出版日期: 2019年10月31日內容資訊: 英文 18 Pages
簡介

人工智能(AI)將繼續增長,並將普及在日常生活和商業的各個方面。促進和利用人工智能的公司將從加強客戶關係,加速創新,提高競爭力,提高利潤率和提高員工生產率中受益。每家公司都應審查其人員,流程,技術和數據,為AI的使用做準備,並在數位時代尋求增長機會。

本報告提供全球人工智能 (AI)的領域未來可能發生的技術面·運用面的變化 (總共10項) 考察,彙整相關企業經營者今後所應採取的對策等資訊,為您概述為以下內容。

IDC 由於FutureScape的市場趨勢預測 (圖表)

摘要整理

IDC FutureScape的預測

  • 外在市場推動市場要素:概要
  • 未來預測:技術買主的影響
    • 預測1:到2024年,人工智能將成為公司日常運營的一部分,其中25%的總成本將用於人工智能解決方案-“結果即服務”,可帶來巨大的創新和卓越的業務價值-
    • 預測2:到2024年,所有公司的75%將投資於員工再培訓和人力資源開發(包括外包),以獲取與引入AI相關的新技能和勞動實踐
    • 預測3:隨著數位技術信譽成為重要的公司資產,到2022年,超過70%的G2000公司將採用正式計劃來監控其“數位可靠性”
    • 預測4:到2022年,將有75%的公司引入IA(智能自動化)進行技術和流程開發,並使用AI兼容軟體根據實際操作和經驗推進技術開發
    • 預測5:到2024年,人工智能將成為重新定義用戶體驗的新用戶界面,超過50%的用戶聯繫將藉由計算機視覺,語音/自然語言處理以及AR / VR加以強化
    • 預測6:到2021年,通過結合各種數據和新的學習算法,總有15%的客戶體驗將“超級個性化”
    • 預測7:到2025年,50%的計算機視覺和語音識別模型將在邊緣計算機(包括端點)上運行,並將在卷積和循環神經網絡上具有深度學習功能
    • 預測8:到2025年,超過90%的新啟動企業應用程序將使用嵌入式AI功能,但真正具有破壞性的AI主導的應用程序將僅佔總數的10%
    • 預測9:到2023年,技術買家在用於加速AI培訓的半導體(GPU,FPGA,AI ASIC,AI ASSP)上的支出將達到約90億美元
    • 預測10:到2023年,將使用邊緣計算來運行20%的服務器,這些服務器將使用支持AI的處理器/協處理器來處理AI工作負載
      • 關聯的推動市場要素
      • IT市場的影響
      • 建議

給技術買主建議

外在市場推動市場要素:詳細內容

  • 創新時代:促進未來企業發展
  • 資訊的經濟性:AI·人·企業的「學習」,增強了他們的優勢
  • 平台經濟:大規模競爭
  • 數位技術信譽危機:隨著威脅的增加,需要採取戰略對策
  • “隨處可見的信息”:人工智能市場機遇和影響
  • 客戶體驗的擴大:提高便利性·客制化·控制性
  • “未來的勞動力”:更加敏捷,功能齊全,無國界和可重構的工作環境
    • 概要
    • 背景情況

參考資料

  • 相關調查

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目錄
Product Code: US45576319

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 FutureScape Figure

Executive Summary

IDC FutureScape Predictions

  • Summary of External Drivers
  • Predictions: Impact on Technology Buyers
    • Prediction 1: By 2024, AI Will Be Integral to Every Part of the Business, Resulting in 25% of the Overall Spend on AI Solutions as "Outcomes as a Service" That Drives Innovation at Scale and Superior Business Value
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 2: By 2024, 75% of Enterprises Will Invest in Employee Retraining and Development, Including Third-Party Services, to Address New Skill Needs and Ways of Working Resulting from AI Adoption
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 3: By 2022, over 70% of G2000 Companies Will Have Formal Programs to Monitor Their "Digital Trustworthiness" as Digital Trust Becomes a Critical Corporate Asset
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 4: By 2022, 75% of Enterprises Will Embed Intelligent Automation into Technology and Process Development, Using AI-Based Software to Discover Operational and Experiential Insights to Guide Innovation
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 5: By 2024, AI Will Become the New User Interface by Redefining User Experiences Where over 50% of User Touches Will Be Augmented by Computer Vision, Speech, Natural Language, and AR/VR
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 6: By 2021, 15% of Customer Experience Applications Will Be Continuously Hyper-Personalized by Combining a Variety of Data and Newer Reinforcement Learning Algorithms
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 7: By 2025, 50% of Computer Vision and Speech Recognition Models Will Run on the Edge (Including Endpoints) and Feature Deep Learning on Convolutional and Recurrent Neural Networks
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 8: By 2025, at Least 90% of New Enterprise Application Releases Will Include Embedded AI Functionality, But Truly Disruptive AI-Led Applications Will Represent Only About 10% of This Total
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 9: In 2023, Technology Buyer Spending on Semiconductors (GPUs, FPGAs, AI ASICs, and AI ASSPs) Used Specifically to Accelerate AI Training and Inferencing Will Reach Nearly $9 Billion
      • Associated Drivers
      • IT Impact
      • Guidance
    • Prediction 10: By 2023, Nearly 20% of Servers That Process AI Workloads Using AI-Optimized Processors and Coprocessors Will Be Deployed at the Edge
      • Associated Drivers
      • IT Impact
      • Guidance

Advice for Technology Buyers

External Drivers: Detail

  • The Age of Innovation: Driving the Future Enterprise
    • Description
    • Context
  • Economies of Intelligence: AI, Human, and Organizational "Learning" Fuels Asymmetrical Advantage
    • Description
    • Context
  • The Platform Economy: Competing at Hyperscale
    • Description
    • Context
  • Crisis of Digital Trust: Escalating Threats Mandate Strategic Responses
    • Description
    • Context
  • Intelligence Everywhere: AI's Opportunity and Implications
    • Description
    • Context
  • Rising Customer Expectations: More Convenience, Customization, and Control
    • Description
    • Context
  • The Future of Work: Agile, Augmented, Borderless, and Reconfigurable
    • Description
    • Context

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