封面
市场调查报告书
商品编码
1512062

人工智慧生产力工具市场规模、份额、趋势分析报告:按产品、部署、最终用途、地区和细分市场进行预测,2024-2030 年

AI Productivity Tools Market Size, Share & Trends Analysis Report By Offering, By Deployment, By End Use, By Region, And Segment Forecasts, 2024 - 2030

出版日期: | 出版商: Grand View Research | 英文 150 Pages | 商品交期: 2-10个工作天内

价格

人工智慧生产力工具市场成长与趋势:

Grand View Research, Inc.最新报告显示,到2030年,全球人工智慧生产力工具市场规模预计将达到363.5亿美元,2024年至2030年复合年增长率为26.7%。

透过处理资料输入和调度等重复性任务,人工智慧工具可以提高效率和自动化,使员工能够将更多时间花在策略性和创造性工作上。透过优化工作流程,人工智慧自动化可以帮助更快地完成任务并提高整体生产力。此外,人工智慧分析大量资料集的能力可以为企业提供有价值的见解,并促进明智的决策流程,以更有效地实现组织目标。这些因素将透过提高效率、赋予员工权力、加快任务速度以及透过资料洞察做出更好的决策来促进市场成长。

区块链技术可以透过利用人工智慧生产力工具来增强。人工智慧演算法可以分析区块链上产生的大量资料、识别模式、检测异常并得出有价值的见解。人工智慧驱动的自动化可以简化区块链交易,减少处理时间和成本,并提高整体效率。人工智慧驱动的预测分析可以预测市场趋势并优化区块链网路内的资源分配,从而提高资源利用率和效能。例如,微软的Azure人工智慧和Oracle的自治资料库利用人工智慧生产力工具来支援区块链技术,并提供微软Azure区块链和甲骨文区块链云端服务等解决方案。这些平台简化交易,提供即时分析,增强区块链网路内的安全性,并促进跨产业的创新和效率。

云端运算的普及正在推动市场成长。云端平台提供可扩展的资源,实现人工智慧解决方案的高效部署和管理。云端平台提供先进的资料管理和分析功能,使人工智慧生产力工具能够有效地处理和分析大量资料。此功能对于人工智慧主导的洞察、个人化和决策、推动生产力和创新至关重要。此外,云端平台通常提供强大的 API 和整合功能,让人工智慧生产力工具与其他软体应用程式和服务整合。这种整合促进了不同系统之间的资料共用、互通性和自动化,从而提高了生产力和工作流程效率。

人工智慧生产力工具市场报告亮点

  • 虚拟助理领域在2023年占据了很大的市场占有率。虚拟助理使用先进的演算法来处理自然语言、自动执行任务并提供个人化支援。它的广泛采用表明对智慧自动化解决方案的需求不断增长。
  • 本地领域将在 2023 年经历显着成长。本地解决方案使企业能够更好地控制资料安全性和合规性,帮助他们满足严格的法规。
  • 2023年,IT和通讯领域将占据主要市场占有率。 IT 和通讯公司在开发先进技术(包括人工智慧)方面拥有深厚的专业知识。他们的知识和经验使我们能够创建先进的人工智慧生产力工具,以满足企业不断变化的需求。
  • 人工智慧和机器学习的进步正在推动人工智慧生产力工具的发展。这些技术允许工具自动执行任务、更好地分析资料并提出智慧提案。这增加了该工具的价值,增加了用户数量并扩大了市场。随着人工智慧的不断改进,生产力工具将变得更加强大,推动进一步的创新。
  • 透过使处理能力更接近资料来源,边缘运算使人工智慧生产力工具能够在本地进行运算和决策,从而减少延迟并提高即时回应能力。

目录

第一章调查方法和范围

第 2 章执行摘要

第三章人工智慧生产力工具市场变数、趋势与范围

  • 市场体系展望
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 产业挑战
  • 人工智慧生产力工具市场分析工具
    • 产业分析-波特五力分析
    • PESTEL分析

第四章 人工智慧生产力工具市场:依产品估算及趋势分析

  • 细分仪表板
  • 人工智慧生产力工具市场:2022 年和 2030 年产品变化分析
  • 虚拟助理
  • 文件管理
  • RPA
  • 资料分析
  • 其他的

第五章 人工智慧生产力工具市场:发展预估及趋势分析

  • 细分仪表板
  • AI 生产力工具市场:2022 年和 2030 年按部署进行的变化分析
  • 本地

第六章 人工智慧生产力工具市场:依最终用途分类的估算与趋势分析

  • 细分仪表板
  • 人工智慧生产力工具市场:2022 年和 2030 年最终用途的变化分析
  • BFSI
  • 卫生保健
  • 零售与电子商务
  • 资讯科技和通讯
  • 媒体和娱乐
  • 其他的

第七章 人工智慧生产力工具市场:区域预估与趋势分析

  • 2022 年和 2030 年人工智慧生产力工具市场占有率(按地区)
  • 北美洲
    • 2017-2030 年北美人工智慧生产力工具市场估计与预测
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 2017-2030 年欧洲人工智慧生产力工具市场估计与预测
    • 英国
    • 德国
    • 法国
  • 亚太地区
    • 2017-2030 年亚太地区人工智慧生产力工具市场预估与预测
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
  • 拉丁美洲
    • 2017-2030 年拉丁美洲人工智慧生产力工具市场估计与预测
    • 巴西
  • 中东和非洲
    • 2017-2030 年中东和非洲人工智慧生产力工具市场估计和预测
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第八章 竞争格局

  • 公司分类
  • 公司市场定位
  • 参与企业概况
  • 财务绩效
  • 提供基准
  • 企业热力图分析
  • 策略规划
  • 公司简介/上市公司
    • Automation Anywhere, Inc.
    • Blue Prism Limited
    • Cisco Systems, Inc.
    • Dropbox Inc.
    • Grammarly Inc.
    • Google LLC
    • International Business Machines Corporation
    • Microsoft
    • UiPath
    • Workato
Product Code: GVR-4-68040-315-8

AI Productivity Tools Market Growth & Trends:

The global AI productivity tools market size is expected to reach USD 36.35 billion by 2030 and is projected to grow at a CAGR of 26.7% from 2024 to 2030, according to a new report by Grand View Research, Inc. AI tools offer increased efficiency and automation by handling repetitive tasks like data entry and scheduling, allowing employees to dedicate more time to strategic and creative work. By optimizing workflows, AI-driven automation expedites task completion and improves overall productivity. Moreover, AI's ability to analyze extensive datasets enables businesses to gain valuable insights, facilitating informed decision-making processes for achieving organizational objectives more effectively. These factors boost market growth by improving efficiency, empowering employees, speeding up tasks, and enabling better decisions with data insights.

The utilization of AI productivity tools can enhance blockchain technology. AI algorithms can analyze vast amounts of data generated on the blockchain to identify patterns, detect anomalies, and derive valuable insights. AI-powered automation can streamline blockchain transactions, reducing processing times and costs and improving overall efficiency. AI-driven predictive analytics can forecast market trends and optimize resource allocation within blockchain networks, leading to better resource utilization and performance. For instance, Microsoft's Azure AI and Oracle's Autonomous Database utilize AI productivity tools to enhance blockchain technology, offering solutions such as Microsoft Azure Blockchain and Oracle Blockchain Cloud Service. These platforms simplify transactions, provide real-time analytics, and enhance security within blockchain networks, driving innovation and efficiency across industries.

The widespread adoption of cloud computing is fueling the growth of the market. Cloud platforms provide scalable resources, enabling efficient deployment and management of AI solutions. Cloud platforms offer advanced data management and analytics capabilities, enabling AI productivity tools to process and analyze large volumes of data efficiently. This capability is crucial for AI-driven insights, personalization, and decision-making, driving productivity and innovation. Moreover, cloud platforms often provide robust APIs and integration capabilities, allowing AI productivity tools to integrate with other software applications and services. This integration facilitates data sharing, interoperability, and automation across different systems, enhancing productivity and workflow efficiency.

AI Productivity Tools Market Report Highlights:

  • The virtual assistant segment dominated the market with a significant market share in 2023. Virtual assistants use advanced algorithms for natural language processing, automating tasks, and providing personalized support. Their widespread adoption shows a growing demand for intelligent automation solutions.
  • The on-premise segment is experiencing significant growth in 2023. On-premise solutions give companies more control over data security and compliance, meeting strict regulations.
  • The IT and Telecom segment dominated the market with a significant market share in 2023. IT and telecom companies possess deep expertise in developing advanced technologies, including artificial intelligence. Their knowledge and experience enable them to create advanced AI productivity tools that meet the evolving needs of businesses.
  • Progressions in AI and machine learning are driving the growth of AI productivity tools. With these technologies, tools can automate tasks, analyze data better, and offer intelligent suggestions. This makes them more valuable, leading to increased use and market expansion. As AI keeps improving, productivity tools will become even more powerful, driving further innovation.
  • Edge computing brings processing power closer to the data source, allowing AI productivity tools to perform computation and make decisions locally, reducing latency and enhancing real-time responsiveness.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Research Methodology
    • 1.2.1. Information Procurement
  • 1.3. Information or Data Analysis
  • 1.4. Methodology
  • 1.5. Research Scope and Assumptions
  • 1.6. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. AI Productivity Tools market Variables, Trends, & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
    • 3.2.2. Market Restraint Analysis
    • 3.2.3. Industry Challenge
  • 3.3. AI Productivity Tools market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's
      • 3.3.1.1. Bargaining power of the suppliers
      • 3.3.1.2. Bargaining power of the buyers
      • 3.3.1.3. Threats of substitution
      • 3.3.1.4. Threats from new entrants
      • 3.3.1.5. Competitive rivalry
    • 3.3.2. PESTEL Analysis
      • 3.3.2.1. Political landscape
      • 3.3.2.2. Economic and Social landscape
      • 3.3.2.3. Technological landscape

Chapter 4. AI Productivity Tools market: Offering Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. AI Productivity Tools market: Offering Movement Analysis, 2022 & 2030 (USD Million)
  • 4.3. Virtual Assistants
    • 4.3.1. Virtual Assistants Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.4. Document Management
    • 4.4.1. Document Management Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.5. RPA
    • 4.5.1. RPA Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.6. Data Analytics
    • 4.6.1. Data Analytics Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.7. Others
    • 4.7.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 5. AI Productivity Tools market: Deployment Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. AI Productivity Tools market: Deployment Movement Analysis, 2022 & 2030 (USD Million)
  • 5.3. Cloud
    • 5.3.1. Cloud AI Productivity Tools market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.4. On-premise
    • 5.4.1. On-premise AI Productivity Tools market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 6. AI Productivity Tools market: End Use Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. AI Productivity Tools market: End Use Movement Analysis, 2022 & 2030 (USD Million)
  • 6.3. BFSI
    • 6.3.1. BFSI AI Productivity Tools market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.4. Healthcare
    • 6.4.1. Healthcare AI Productivity Tools market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.5. Retail and e-commerce
    • 6.5.1. Retail and e-commerce AI Productivity Tools market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.6. IT and Telecom
    • 6.6.1. IT and Telecom AI Productivity Tools market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.7. Media & Entertainment
    • 6.7.1. Media & Entertainment AI Productivity Tools market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.8. Others
    • 6.8.1. Others AI Productivity Tools market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 7. AI Productivity Tools market: Regional Estimates & Trend Analysis

  • 7.1. AI Productivity Tools market Share, By Region, 2022 & 2030 (USD Million)
  • 7.2. North America
    • 7.2.1. North America AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.2.2. U.S.
      • 7.2.2.1. U.S. AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.2.3. Canada
      • 7.2.3.1. Canada AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.2.4. Mexico
      • 7.2.4.1. Mexico AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.3. Europe
    • 7.3.1. Europe AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.3.2. U.K.
      • 7.3.2.1. U.K. AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.3.3. Germany
      • 7.3.3.1. Germany AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.3.4. France
      • 7.3.4.1. France AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.4. Asia Pacific
    • 7.4.1. Asia Pacific AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.4.2. China
      • 7.4.2.1. China AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.4.3. Japan
      • 7.4.3.1. Japan AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.4.4. India
      • 7.4.4.1. India AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.4.5. South Korea
      • 7.4.5.1. South Korea AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.4.6. Australia
      • 7.4.6.1. Australia AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.5. Latin America
    • 7.5.1. Latin America AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.5.2. Brazil
      • 7.5.2.1. Brazil AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.6. Middle East and Africa
    • 7.6.1. Middle East and Africa AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.6.2. KSA
      • 7.6.2.1. KSA AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.6.3. UAE
      • 7.6.3.1. UAE AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 7.6.4. South Africa
      • 7.6.4.1. South Africa AI Productivity Tools market Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Company Categorization
  • 8.2. Company Market Positioning
  • 8.3. Participant's Overview
  • 8.4. Financial Performance
  • 8.5. Offering Benchmarking
  • 8.6. Company Heat Map Analysis
  • 8.7. Strategy Mapping
  • 8.8. Company Profiles/Listing
    • 8.8.1. Automation Anywhere, Inc.
    • 8.8.2. Blue Prism Limited
    • 8.8.3. Cisco Systems, Inc.
    • 8.8.4. Dropbox Inc.
    • 8.8.5. Grammarly Inc.
    • 8.8.6. Google LLC
    • 8.8.7. International Business Machines Corporation
    • 8.8.8. Microsoft
    • 8.8.9. UiPath
    • 8.8.10. Workato

List of Tables

  • Table 1 Global AI Productivity Tools market by Offering, 2017 - 2030 (USD Million)
  • Table 2 Global AI Productivity Tools market by Deployment, 2017 - 2030 (USD Million)
  • Table 3 Global AI Productivity Tools market by End Use, 2017 - 2030 (USD Million)
  • Table 4 Global AI Productivity Tools market by region, 2017 - 2030 (USD Million)
  • Table 5 North America AI Productivity Tools market by country, 2017 - 2030 (USD Million)
  • Table 6 Europe AI Productivity Tools market by country, 2017 - 2030 (USD Million)
  • Table 7 Asia Pacific AI Productivity Tools market by country, 2017 - 2030 (USD Million)
  • Table 8 Latin America AI Productivity Tools market by country, 2017 - 2030 (USD Million)
  • Table 9 MEA AI Productivity Tools market by country, 2017 - 2030 (USD Million)
  • Table 10 Key companies launching new products/services.
  • Table 11 Key companies engaged in mergers & acquisitions.
  • Table 12 Key companies engaged in Research & development.
  • Table 13 Key Companies engaged in expansion.

List of Figures

  • Fig. 1 Information procurement
  • Fig. 2 Primary research pattern
  • Fig. 3 Market research approaches
  • Fig. 4 Value chain-based sizing & forecasting
  • Fig. 5 QFD modeling for market share assessment.
  • Fig. 6 Parent market analysis
  • Fig. 7 Patient-population model
  • Fig. 8 Market formulation & validation
  • Fig. 9 AI Productivity Tools market snapshot
  • Fig. 10 AI Productivity Tools market segment snapshot
  • Fig. 11 AI Productivity Tools market competitive landscape snapshot
  • Fig. 12 Market research process
  • Fig. 13 Market driver relevance analysis (Current & future impact)
  • Fig. 14 Market restraint relevance analysis (Current & future impact)
  • Fig. 15 AI Productivity Tools Market, Offering outlook key takeaways (USD Million)
  • Fig. 16 AI Productivity Tools Market: Offering movement analysis 2022 & 2030 (USD Million)
  • Fig. 17 Virtual Assistants AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 18 Document Management AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 19 RPA AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 20 Data Analytics AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 21 Others AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 22 AI Productivity Tools Market: Deployment outlook key takeaways (USD Million)
  • Fig. 23 AI Productivity Tools Market: Deployment movement analysis 2022 & 2030 (USD Million)
  • Fig. 24 Cloud AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 25 On-premise AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 26 AI Productivity Tools Market: End Use outlook key takeaways (USD Million)
  • Fig. 27 AI Productivity Tools Market: End Use movement analysis 2022 & 2030 (USD Million)
  • Fig. 28 BFSI AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 29 Healthcare AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 30 Retail and e-commerce AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 31 IT and Telecom AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 32 Media & Entertainment AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 33 Others AI Productivity Tools market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 34 Regional marketplace: Key takeaways
  • Fig. 35 AI Productivity Tools Market: Regional outlook, 2022 & 2030 (USD Million)
  • Fig. 36 North America AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 37 U.S. AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 38 Canada AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 39 Mexico AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 40 Europe AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 41 U.K. AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 42 Germany AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 43 France AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 44 Asia Pacific AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 45 Japan AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 46 China AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 47 India AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 48 South Korea AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 49 Australia AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 50 Latin America AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 51 Brazil AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 52 MEA AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 53 KSA AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 54 UAE AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 55 South Africa AI Productivity Tools market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 56 Strategy framework
  • Fig. 57 Company Categorization