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美国计算机协会(CompTIA):2025年IT行业展望报告:预测下一波发展浪潮(英文版)(34页).pdf

上传人: 1****1 编号:772394 2025-08-19 34页 2.43MB

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1、2025IT IndustryOutlookForecasting the next wave of progress2CompTIA IT Industry Outlook 2025Trends to Watch 20251The Bar Is Set Higher for Digital Transformation2Organizations Begin Counting the Costs of AI37Tech Providers Take New Steps to Prove ROI to CustomersData Team Formation Enables Analysis

2、and AI48The Value of Partnerships Grows as Channel Ecosystem ExpandsSkills-Based Frameworks Drive New Waves of HR Innovation59Bespoke Platforms Become the Focal Point of Software DevelopmentSMBs Eye Workforce Upskilling to Gain Competitive Advantage610Cybersecurity Risks Renew Calls for Tighter MSP

3、ControlsWide-Reaching Global Issues Influence Tech Business Decision-making 3CompTIA IT Industry Outlook 2025IntroductionIf the dot-com bubble seems like ancient history,maybe thats because a lot has happened in 25 years.After tech-fueled stock market gains and venture capital investments both fell

4、dramatically in 2000,the tech industry has enjoyed a strong run.Smartphones,cloud computing,internet of things and artificial intelligence are all major trends that have reshaped the way businesses think about technology and put it to use.These big wins,though,are not exactly a story about the tech

5、industry rising from the ashes of a burst bubble.In reality,the bubble was part and parcel of a larger arc of development.In her 2002 book Technological Revolutions and Financial Capital,Carlota Perez describes how investments made during an innovation-driven bubble provide a foundation for future i

6、nvention and growth.In other words,the infrastructure that powered many of the now-defunct websites from the late 1990s became a critical component for the iPhone and Microsoft Azure in the 2000s.Heading into 2025,there is some speculation that the economy is in the midst of an AI bubble.If this is

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根据报告的内容,本文主要概括了2025年IT行业展望的关键点: 1. **数字化转型**:企业对数字化转型的期望更高,需要克服工作流程和技能方面的挑战。 2. **AI成本**:企业开始计算AI的成本,包括基础设施、工作流程修改和伦理问题。 3. **技术提供商**:技术提供商需要采取新措施来证明投资回报率,以应对客户对技术投资回报率的质疑。 4. **合作伙伴关系**:随着渠道生态系统的扩展,合作伙伴关系的重要性日益增加。 5. **定制平台**:定制平台成为软件开发的焦点,企业需要整合各种应用以实现平滑的工作流程。 6. **网络安全**:网络安全风险促使对MSP的监管要求更加严格。 7. **数据团队**:数据团队的形成使分析成为可能,企业需要整合数据技能以充分利用数据资产。 8. **基于技能的框架**:基于技能的框架推动人力资源创新,企业需要投资以建立技能评估和活动的方法。 9. **中小企业**:中小企业关注员工技能提升,以获得竞争优势。 10. **全球问题**:全球问题影响技术业务决策,企业需要应对技能差距、AI影响等挑战。
哪些趋势值得关注? 企业如何应对AI带来的挑战? 如何确保网络安全?
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