Reveal IT 인재 설문조사: 2026년 주요 기술 역할 및 기술

Reveal IT 인재 설문조사: 2026년 주요 기술 역할 및 기술

Reveal 설문조사, AI 기반 기술 인력 시장의 가장 수요가 높은 직무 및 기술을 식별하다

Reveal 2026 IT 인재 설문조사는 인공지능, 분석, 디지털 전환이 기술 전반의 인재 및 기술 수요에 어떤 영향을 미치는지 분석을 제공합니다. 250명의 선임 기술 리더들의 응답을 바탕으로, 이 설문조사는 고급 기술 인재에 대한 경쟁 심화와 AI 기반 역량에 대한 강조 증가를 강조합니다. 기업들이 디지털 현대화를 가속화함에 따라, 가장 수요가 높은 역할과 기술은 인공지능, 사이버 보안, 클라우드 인프라, 데이터 분석에 점점 더 집중되고 있습니다.

계속 읽기

양식을 작성하여 계속 읽으십시오.

필수

인재 부족이 가장 큰 과제입니다

Talent Shortages Are the #1 Challenge chart. Attribution: Reveal 2026 IT Talent Survey.
Insights

인재 부족은 소프트웨어 개발의 1순위 과제로 나타났습니다: 50% 숙련된 기술 인력 채용 및 유지의 어려움을 겪는 조직의 비율; 80% 인재 부족이 운영에 영향을 미치고 있다고 보고했습니다. AI 전문 지식에 대한 수요가 급증하며, 56% AI 역량을 구축하기 위해 인력에 투자할 계획입니다. 대기업의 거의 절반(47%)은 부족이 목표 달성 능력을 제한하고 있다고 말합니다.

  <h2 class="wp-block-heading whitepapers__headline-dividers" id="chapter-2">How the Expanding Role of AI is Impacting Tech Hiring</h2>
  <div class="row align-items-center justify-content-center">
    <div class="col-12 mt-4 mb-2">
      <img decoding="async" class="b-lazy img-fluid" loading="lazy" width="100%" title="AI Is a Dominant Force" src="https://static.infragistics.com/marketing/reveal/whitepapers/2026/survey-top-technology-roles-skills/reveal-survey-ai-dominant-force.svg" alt="AI Is a Dominant Force chart. Attribution: Reveal 2026 IT Talent Survey." id="ai-dominant-force-img">
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        <p style="font-size:1.15rem" id="insights-text-2">Artificial intelligence has become a dominant force in hiring. In 2025, <strong>80%</strong> of tech leaders used AI in software development, and <strong>77%</strong> named expanding AI a top priority for 2026. This adoption is driving workforce demand: <strong>48%</strong> of companies report AI-related job creation versus <strong>18%</strong> reporting layoffs. AI expertise remains the top hiring priority, cited by <strong>89%</strong> of organizations in 2025 and <strong>91%</strong> in 2026. Productivity gains reinforce this trend, with <strong>66%</strong> of organizations attributing improvements to AI. As AI embeds into workflows, demand is rising for professionals who can build, deploy, and manage intelligent systems.</p>
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  <h2 class="wp-block-heading whitepapers__headline-dividers" id="chapter-3">Hard-to-Fill Technical Roles</h2>
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      <img decoding="async" class="b-lazy img-fluid" loading="lazy" width="100%" title="Hardest to Fill Technical Roles" src="https://static.infragistics.com/marketing/reveal/whitepapers/2026/survey-top-technology-roles-skills/reveal-survey-hardest-to-fill-technical-roles.svg" alt="Hardest to Fill Technical Roles chart. Attribution: Reveal 2026 IT Talent Survey." id="hardest-roles-img">
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  <section class="container p-4 mt-3 mb-5 bg-cornflower-blue rounded-xl mw-950px shadow">
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        <p style="font-size:1.15rem" id="insights-text-3">The survey highlights several hard-to-fill roles, led by AI engineers (<strong>39%</strong>) and cybersecurity engineers (<strong>38%</strong>). Cloud engineers (<strong>25%</strong>) and data analytics professionals (<strong>24%</strong>) also rank among the most challenging positions to staff. These shortages affect organizations of all sizes but are most acute in large enterprises, where nearly half report talent gaps limiting their ability to meet business goals. Only <strong>7%</strong> of respondents report no hiring difficulties, underscoring a widespread skills shortage. Demand is driven by the need for AI engineers to build and deploy intelligent systems, cybersecurity experts to address rising threats, and cloud and data professionals to support scalable infrastructure and analytics.</p>
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  <h2 class="wp-block-heading whitepapers__headline-dividers" id="chapter-4">High-Value Technical Skill Sets</h2>
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      <img decoding="async" class="b-lazy img-fluid" loading="lazy" width="100%" title="Most Sought After Skills" src="https://static.infragistics.com/marketing/reveal/whitepapers/2026/survey-top-technology-roles-skills/reveal-survey-most-sought-after-tech-skills.svg" alt="Most Sought After Skills chart. Attribution: Reveal 2026 IT Talent Survey." id="sought-skills-img">
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  <section class="container p-4 mt-3 mb-5 bg-cornflower-blue rounded-xl mw-950px shadow">
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        <img decoding="async" src="https://static.infragistics.com/marketing/reveal/whitepapers/2025/insights-icon.svg" alt="Insights" title="Insights" id="insights-icon-4">
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        <p style="font-size:1.15rem" id="insights-text-4">The survey highlights the most in-demand technical skills, led by Python (<strong>56%</strong>), reflecting its central role in AI, automation, and data science. AI-related expertise, including machine learning, follows at <strong>47%</strong>. Other key skills include Java (<strong>34%</strong>), cybersecurity (<strong>33%</strong>), and C/C++. SQL, .NET, JavaScript frameworks, and web development tools also remain relevant. Demand varies by company size: smaller firms prioritize C/C++ and cybersecurity for infrastructure needs, while larger organizations emphasize Python and AI to support advanced digital initiatives. Overall, while core programming skills remain essential, AI and automation expertise increasingly set top candidates apart.</p>
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  <h2 class="wp-block-heading whitepapers__headline-dividers" id="chapter-5">Senior-Level and Specialized Talent Over Entry-Level Hiring</h2>
  <div class="row align-items-center justify-content-center">
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      <img decoding="async" class="b-lazy img-fluid" loading="lazy" width="100%" title="Hiring Priorities" src="https://static.infragistics.com/marketing/reveal/whitepapers/2026/survey-top-technology-roles-skills/reveal-survey-hiring-priorities-senior-lower-level.svg" alt="Hiring Priorities chart. Attribution: Reveal 2026 IT Talent Survey." id="hiring-priorities-img">
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  <p>Hiring patterns indicate a strong preference for experienced professionals. While 26% of organizations hired staff in 2025 and 30% plan to hire in 2026, only 12% expect to focus on lower-level talent. Instead, approximately 70% prioritize senior technical staff, particularly those with AI expertise.</p>
  <p>This shift reflects the complexity of modern development environments. Integrating AI, ensuring regulatory compliance, managing cloud systems, and securing data require advanced technical judgment that is typically gained through experience. As a result, organizations are competing aggressively for a limited pool of senior engineers, architects, and security specialists.</p>

  <h2 class="wp-block-heading whitepapers__headline-dividers" id="chapter-6">The Growing Importance of Data and Analytics Roles</h2>
  <div class="row align-items-center justify-content-center">
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      <img decoding="async" class="b-lazy img-fluid" loading="lazy" width="100%" title="Business Intelligence Use" src="https://static.infragistics.com/marketing/reveal/whitepapers/2026/survey-top-technology-roles-skills/reveal-survey-intelligence-use.svg" alt="Business Intelligence Use chart. Attribution: Reveal 2026 IT Talent Survey." id="business-intelligence-use-img">
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        <p style="font-size:1.15rem" id="insights-text-5">Business intelligence and embedded analytics have become core infrastructure in most organizations. <strong>85%</strong> of respondents use BI tools internally, and <strong>76%</strong> deploy embedded analytics. In addition, <strong>84%</strong> expect their focus on analytics to increase in 2026.</p>
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  <p>This widespread adoption drives demand for data analysts, BI developers, and analytics engineers who can manage data pipelines, build dashboards, and integrate insights into business applications. Organizations increasingly rely on these professionals to support strategic decision-making, automate reporting, and identify operational trends.</p>
  <p>Data integration challenges, such as incompatible formats, siloed systems, and lack of real-time synchronization, further elevate the value of professionals who can bridge technical and analytical domains. Individuals with expertise in data architecture, visualization, and governance are positioned for strong career prospects.</p>

  <h2 class="wp-block-heading whitepapers__headline-dividers" id="chapter-7">AI Governance, Ethics, and Security Skills</h2>
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      <img decoding="async" class="b-lazy img-fluid" loading="lazy" width="100%" title="Greatest Ethical and Security Challenges" src="https://static.infragistics.com/marketing/reveal/whitepapers/2026/survey-top-technology-roles-skills/reveal-survey-greatest-ethical-security-challenges.svg" alt="Greatest Ethical and Security Challenges chart. Attribution: Reveal 2026 IT Talent Survey." id="ethical-security-challenges-img">
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        <p style="font-size:1.15rem" id="insights-text-6">As AI adoption accelerates, organizations are paying greater attention to ethical and governance concerns. Half of respondents cite ethics and responsible AI use as major challenges, while <strong>48%</strong> identify security and privacy risks. In response, many companies have strengthened privacy policies and introduced ethical guidelines.</p>
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    <p>This environment is creating demand for roles that combine technical knowledge with regulatory and ethical expertise. Professionals who understand explainability, data governance, bias mitigation, and secure model deployment are becoming increasingly valuable. AI governance specialists, compliance engineers, and privacy-focused architects are emerging as critical contributors to sustainable AI adoption.</p>
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  <section class="position-relative pb-5" id="conclusion">
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        <div class="custom-box-header"> Conclusion </div>
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            <p style="font-size:1.15rem">The Reveal 2026 IT Talent Survey illustrates a technology labor market defined by rapid innovation, persistent talent shortages, and rising specialization. AI engineers, cybersecurity professionals, cloud specialists, and data experts are among the most in-demand roles, driven by widespread adoption of intelligent systems and analytics platforms. AI-driven job creation outweighs displacement, suggesting that AI is reshaping roles rather than eliminating them.<br><br>
            Core skills such as Python, machine learning, cybersecurity, and advanced programming remain essential, while experience and domain knowledge are increasingly valued over entry-level capabilities.<br><br>
            At the same time, the growing emphasis on governance, ethics, and security is expanding opportunities for professionals who can manage AI responsibly. Organizations are responding through aggressive hiring, reskilling initiatives, and strategic workforce planning. As digital transformation continues through 2026 and beyond, professionals who combine technical depth with adaptability and ethical awareness will be best positioned to thrive in the evolving technology landscape.</p>
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  <section class="position-relative pb-5" id="methodology">
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        <div class="custom-box-header"> Survey Methodology </div>
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            <p style="font-size:1.15rem">The Reveal 2026 IT Talent Survey was conducted in partnership with Dynata in December 2025. Dynata surveyed 250 senior technology leaders, including C-suite executives, CIOs, CTOs, VPs, IT managers, and directors responsible for software development and business intelligence across mid-market and enterprise organizations.</p>
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  <section class="position-relative">
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        <div class="custom-box-header"> About Reveal </div>
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            <p style="font-size:1.15rem"><a href="/">Reveal</a> is an embedded analytics platform from <a href="https://www.infragistics.com/" target="_blank" rel="noopener">Infragistics</a> that enables software teams to bring conversational analytics and AI-driven insights into their enterprise applications. Built for developers, Reveal integrates seamlessly into any app with flexible SDKs for web, desktop and mobile. By embedding AI directly into the analytics experience, Reveal empowers end users to ask questions about their data, understand what’s happening and take action–all within the application they’re already using. With built-in governance and predictable cost controls, Reveal helps companies introduce AI-powered analytics at scale while maintaining the performance, flexibility and visibility enterprise environments require.</p>
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        <ul class="list-group">
          <li class="list-group-item"><a href="#chapter-1"><small class="d-block mb-2">Chapter 1</small><span class="font-weight-bold">Talent Shortages Are the Top Challenge</span></a></li><li class="list-group-item"><a href="#chapter-2"><small class="d-block mb-2">Chapter 2</small><span class="font-weight-bold">How the Expanding Role of AI is Impacting Tech Hiring</span></a></li><li class="list-group-item"><a href="#chapter-3"><small class="d-block mb-2">Chapter 3</small><span class="font-weight-bold">Hard-to-Fill Technical Roles</span></a></li><li class="list-group-item"><a href="#chapter-4"><small class="d-block mb-2">Chapter 4</small><span class="font-weight-bold">High-Value Technical Skill Sets</span></a></li><li class="list-group-item"><a href="#chapter-5"><small class="d-block mb-2">Chapter 5</small><span class="font-weight-bold">Senior-Level and Specialized Talent Over Entry-Level Hiring</span></a></li><li class="list-group-item"><a href="#chapter-6"><small class="d-block mb-2">Chapter 6</small><span class="font-weight-bold">The Growing Importance of Data and Analytics Roles</span></a></li><li class="list-group-item"><a href="#chapter-7"><small class="d-block mb-2">Chapter 7</small><span class="font-weight-bold">AI Governance Ethics and Security Skills</span></a></li>            </ul>
      </nav>

저자 소개

Casey Ciniello

Casey Ciniello

Casey Ciniello는 Infragistics의 데이터 및 분석에 중점을 둔 제품 리더로, Reveal 임베디드 분석 플랫폼 및 Slingshot 작업 관리 솔루션에 대한 전략 및 혁신을 주도합니다. 수학 학사 및 MBA를 보유한 그녀는 조직이 복잡한 데이터를 실행 가능한 통찰력으로 전환하는 데 도움이 되는 제품을 구축하는 데 심층적인 분석 기반 및 비즈니스 관점을 제공합니다.
Casey는 분석 기반 기능 개발을 주도하며 심층적인 시장 분석, 사용자 행동 통찰력 및 진화하는 비즈니스 인텔리전스 트렌드를 통해 제품 방향을 결정합니다. 그녀는 고객과 긴밀히 협력하여 데이터가 실제 의사 결정에 어떻게 사용되는지 이해하고 이러한 요구 사항을 직관적이고 영향력 있는 분석 경험으로 변환합니다. Casey는 또한 연례 Reveal 소프트웨어 개발 챌린지 설문 조사에 대한 설문 조사 책임자로 활동하며 업계 데이터를 분석하여 분석, AI 및 최신 개발 사례의 주요 트렌드를 파악합니다. 그녀의 통찰력과 사상적 리더십은 Dataversity, RT Insights, SaaSXtra, SD Times, Solutions Review, TechStrong IT, App Developer Magazine, Beta News, Integration Developer News 및 UX Planet에 소개되었습니다. 그녀는 최신 임베디드 분석, 머신 러닝, 데이터 시각화 및 SaaS 분석 확장과 관련된 주제에 대한 웨비나 발표자로 자주 참여합니다. Casey는 2013년에 Infragistics에 합류했습니다.