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市场调查报告书
商品编码
1584620

全球自主人工智慧/自主代理市场：按组件、按技术、按部署、按最终用途行业、按地区、趋势分析、竞争格局、预测，2019-2030 年

Autonomous AI and Autonomous Agents Market, By Component; By Technology; By Deployment; By End Use Industry; By Region, Global Trend Analysis, Competitive Landscape & Forecast, 2019-2030
出版日期: | 出版商: Blueweave Consulting | 英文 490 Pages | 商品交期: 2-3个工作天内

价格
简介目录

自主人工智慧和自主代理的全球市场将迅速扩大 12 倍，到 2030 年将达到超过 580 亿美元

由于技术进步、投资增加、基础设施部署、自动化需求和智慧服务的创建，全球自主人工智慧和自主代理市场正在蓬勃发展。

领先的策略咨询和市场研究公司 BlueWeave Consulting 在最近的一项研究中以金额为准，2023 年全球自主人工智慧和自主代理市场规模将达到 48 亿美元。 BlueWeave 预测，在 2024 年至 2030 年的预测期内，自主人工智慧和自主代理的全球市场规模将以 43.10% 的复合年增长率增长，到 2030 年将达到 584.2 亿美元。全球自主人工智慧/自主代理市场的成长是由技术进步、投资和融资增加、跨行业自主性、自动化需求和智慧基础设施等几个关键因素推动的。此外，人工智慧的使用增加、先进的运算相容性、自动驾驶和医疗保健的进步正在推动市场发展。这些因素共同促进了市场的快速扩张和创新。

机会 - 物联网集成

人工智慧与物联网 (IoT) 的整合是全球自主人工智慧和自主代理市场的重大发展。连接性允许自动化操作员与互连的设备和系统互动并控制，从而提高业务效率和决策。使用物联网资料，人工智慧系统可以执行即时分析、预测性维护和回应自动化。更智慧的架构和改善的使用者体验。这些整合对于维持市场扩张至关重要。

地缘政治紧张局势加剧对全球自主人工智慧和自主代理市场的影响

地缘政治紧张局势的加剧正在对全球自主人工智慧和自主代理市场产生重大影响。政治和经济压力可能导致国有化、贸易限制、监管挑战、供应链中断和创新增加。特别是美国等超级大国之间的技术优势竞争愈演愈烈，导致结盟和战略竞争。这种情况可能会阻碍国际合作、减缓技术进步并造成市场不确定性。

零售和电子商务领域成为最终用途行业的主要参与者

零售和电子商务领域是全球自主人工智慧和自主代理市场中最大的最终用途产业。该细分市场的主导地位是由于越来越多地采用人工智慧驱动的解决方案来实现客户服务自动化、个人化购物体验、库存管理和诈骗侦测。零售商和电子商务平台正在利用聊天机器人、虚拟助理和预测分析的自主代理来提高业务效率和客户参与，从而推动该细分市场在整个市场的成长。

竞争格局

竞争激烈的全球自主人工智慧和自主代理市场的主要企业包括Google、IBM、微软、甲骨文、Waymo LLC、DeepMind、OpenAI、Salesforce、SAP SE 和 Nvidia Corporation。这些公司正在利用各种策略，包括增加对研发活动的投资、併购、合资、联盟、许可协议以及新产品和服务发布，以主导全球自主人工智慧和自主代理市场，并进一步巩固我们的地位。

该报告的详细分析提供了有关全球自主人工智慧和自主代理市场的成长潜力、未来趋势和统计数据的资讯。它还重点关注推动市场总规模预测的因素。该报告承诺提供全球自主人工智慧和自主代理市场的最新技术趋势和产业见解，帮助决策者做出明智的策略决策。此外，我们也分析了市场的成长动力、挑战和竞争力。

目录

第一章 研究框架

第 2 章执行摘要

第三章 全球自主人工智慧/自主代理市场洞察

  • 产业价值链分析
  • DROC分析
    • 生长促进因子
      • 提高效率和生产力
      • 24/7运作需求
      • 人工智慧技术的进步
      • 扩大产业采用
  • 抑制因素
      • 道德问题
      • 需要较高的成本和投资
      • 技术挑战
    • 机会
      • 新应用与市场
      • 与物联网集成
      • 与人类的合作
    • 任务
      • 网路安全风险
      • 大众接受度
  • 科技进步/最新趋势
  • 法律规范
  • 波特五力分析

第四章 全球自主人工智慧/自主代理市场：行销策略

第五章 全球自主人工智慧/自主代理市场概述

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按成分
      • 硬体
      • 软体
      • 服务
    • 依技术
      • 机器学习
      • NLP
      • 情境意识
      • 电脑视觉
    • 按发展
      • 本地
      • 云
    • 按最终用途行业
      • 零售/电子商务
      • BFSI
      • 资讯科技/通讯
      • 製造业
      • 医疗保健/生命科学
      • 政府/国防
      • 其他的
    • 按地区
      • 北美洲
      • 欧洲
      • 亚太地区 (APAC)
      • 拉丁美洲 (LATAM)
      • 中东和非洲 (MEA)

第六章 北美自主人工智慧/自主代理市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按成分
    • 依技术
    • 按发展
    • 按最终用途行业
    • 按国家/地区
      • 美国
      • 加拿大

第七章 欧洲自主人工智慧/自主代理市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按成分
    • 依技术
    • 按发展
    • 按最终用途行业
    • 按国家/地区
      • 德国
      • 英国
      • 义大利
      • 法国
      • 西班牙
      • 比利时
      • 俄罗斯
      • 荷兰
      • 其他欧洲国家

第八章亚太地区自主人工智慧/自主代理市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按成分
    • 依技术
    • 按发展
    • 按最终用途行业
    • 按国家/地区
      • 中国
      • 印度
      • 日本
      • 韩国
      • 澳洲和纽西兰
      • 印尼
      • 马来西亚
      • 新加坡
      • 越南
      • 亚太地区其他地区

第九章拉丁美洲的自主人工智慧/自主代理市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按成分
    • 依技术
    • 按发展
    • 按最终用途行业
    • 按国家/地区
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘鲁
      • 其他拉丁美洲

第10章中东和非洲的自主人工智慧/自主代理市场

  • 2019-2030年市场规模及预测
    • 按金额
  • 市场占有率及预测
    • 按成分
    • 依技术
    • 按发展
    • 按最终用途行业
    • 按国家/地区
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 科威特
      • 南非
      • 奈及利亚
      • 阿尔及利亚
      • 其他中东/非洲

第十一章竞争格局

  • 主要参与者及其产品列表
  • 2023年全球自主AI/自主代理市场占有率分析
  • 透过管理参数进行竞争基准基准化分析
  • 重大策略发展（合併、收购、联盟等）

第12章：地缘政治紧张局势加剧对全球自主人工智慧和自主代理市场的影响

第十三章 公司简介（公司简介、财务矩阵、竞争格局、关键人员、主要竞争对手、联络方式、策略展望、SWOT分析）

  • Google
  • IBM
  • Microsoft
  • Oracle
  • Waymo LLC
  • Deepmind
  • OpenAI
  • Salesforce
  • SAP SE
  • Nvidia Corporation
  • 其他主要企业

第十四章 主要策略建议

第十五章调查方法

简介目录
Product Code: BWC24777

Global Autonomous AI and Autonomous Agents Market Zooms 12X to Cross USD 58 Billion by 2030

Global Autonomous AI and Autonomous Agents Market is thriving due to technological progress, increasing investments, infrastructure adoption, demand for automation, and the creation of smart services.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated Global Autonomous AI and Autonomous Agents Market size by value at USD 4.80 billion in 2023. During the forecast period between 2024 and 2030, BlueWeave expects Global Autonomous AI and Autonomous Agents Market size to expand at a CAGR of 43.10% reaching a value of USD 58.42 billion in 2030. The growth of Global Autonomous AI and Autonomous Agents Market is driven by several key factors: technological advancements, increasing investments and financing, autonomation across industries, demand for automation, and smart infrastructure. Further, the increasing use of AI, advanced computing compatibility, and advancements in autonomous driving and healthcare are fueling the market. These factors all together contribute to rapid market expansion and innovations.

Opportunity - IoT Integration

The integration of AI into the Internet of Things (IoT) is an important development for Global Autonomous AI and Autonomous Agents Market. The connectivity enables automated operators to interact with and control interconnected devices and systems, increasing operational efficiency and decision-making. Using IoT data, AI systems can perform real-time analysis, predictive maintenance, and response automation. Smarter structures and improved user experiences. These integrations are critical to sustaining market expansion.

Impact of Escalating Geopolitical Tensions on Global Autonomous AI and Autonomous Agents Market

Increasing geopolitical tensions are having a major impact on Global Autonomous AI and Autonomous Agents Market. Political and economic pressures could lead to increased nationalization, trade restrictions, regulatory challenges, disruption of supply chains, and innovation. In particular, competition for technological dominance among superpowers, such as US and China, is intensifying, leading to alliances and strategic competition. This situation can hinder international cooperation, slow down technological progress, and create market uncertainty.

Retail & E-commerce Segment Is Leading End Use Industry

The retail & E-commerce segment is the largest end use industry of Global Autonomous AI and Autonomous Agents Market. The segment's dominance is due to the increasing adoption of AI-powered solutions for customer service automation, personalized shopping experiences, inventory management, and fraud detection. Retailers and e-commerce platforms leverage autonomous agents for chatbots, virtual assistants, and predictive analytics, enhancing operational efficiency and customer engagement, which propels the growth of this segment in the overall market.

Competitive Landscape

Major companies in the fiercely competitive Global Autonomous AI and Autonomous Agents Market include Google, IBM, Microsoft, Oracle, Waymo LLC, DeepMind, OpenAI, Salesforce, SAP SE, and Nvidia Corporation. These companies use various strategies, including increasing investments in their R&D activities, mergers and acquisitions, joint ventures, collaborations, licensing agreements, and new product and service releases to further strengthen their position in Global Autonomous AI and Autonomous Agents Market.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Autonomous AI and Autonomous Agents Market. It also highlights the factors driving forecasts of total Market size. The report promises to provide recent technology trends in Global Autonomous AI and Autonomous Agents Market and industry insights to help decision-makers make sound strategic decisions. Further, the report also analyzes the growth drivers, challenges, and competitive dynamics of the Market.

Table of Contents

1. Research Framework

  • 1.1. Research Objective
  • 1.2. Product Overview
  • 1.3. Market Segmentation

2. Executive Summary

3. Global Autonomous AI and Autonomous Agents Market Insights

  • 3.1. Industry Value Chain Analysis
  • 3.2. DROC Analysis
    • 3.2.1. Growth Drivers
      • 3.2.1.1. Increased Efficiency and Productivity
      • 3.2.1.2. Demand for 24/7 Operations
      • 3.2.1.3. Advancements in AI Technology
      • 3.2.1.4. Growing Adoption in Industries
  • 3.3. Restrains
      • 3.3.1.1. Ethical Concerns
      • 3.3.1.2. High Costs and Investment Involved
      • 3.3.1.3. Technical Challenges
    • 3.3.2. Opportunities
      • 3.3.2.1. New Applications and Markets
      • 3.3.2.2. Integration with IoT
      • 3.3.2.3. Collaboration with Humans
    • 3.3.3. Challenges
      • 3.3.3.1. Cybersecurity Risks
      • 3.3.3.2. Public Acceptance
  • 3.4. Technological Advancements/Recent Developments
  • 3.5. Regulatory Framework
  • 3.6. Porter's Five Forces Analysis
    • 3.6.1. Bargaining Power of Suppliers
    • 3.6.2. Bargaining Power of Buyers
    • 3.6.3. Threat of New Entrants
    • 3.6.4. Threat of Substitutes
    • 3.6.5. Intensity of Rivalry

4. Global Autonomous AI and Autonomous Agents Market: Marketing Strategies

5. Global Autonomous AI and Autonomous Agents Market Overview

  • 5.1. Market Size & Forecast, 2019-2030
    • 5.1.1. By Value (USD Million)
  • 5.2. Market Share and Forecast
    • 5.2.1. By Component
      • 5.2.1.1. Hardware
      • 5.2.1.2. Software
      • 5.2.1.3. Services
    • 5.2.2. By Technology
      • 5.2.2.1. Machine Learning
      • 5.2.2.2. NLP
      • 5.2.2.3. Context Awareness
      • 5.2.2.4. Computer Vision
    • 5.2.3. By Deployment
      • 5.2.3.1. On-premises
      • 5.2.3.2. Cloud
    • 5.2.4. By End Use Industry
      • 5.2.4.1. Retail & E-commerce
      • 5.2.4.2. BFSI
      • 5.2.4.3. IT & Telecommunication
      • 5.2.4.4. Manufacturing
      • 5.2.4.5. Healthcare & Lifesciences
      • 5.2.4.6. Government & Defense
      • 5.2.4.7. Others
    • 5.2.5. By Region
      • 5.2.5.1. North America
      • 5.2.5.2. Europe
      • 5.2.5.3. Asia Pacific (APAC)
      • 5.2.5.4. Latin America (LATAM)
      • 5.2.5.5. Middle East and Africa (MEA)

6. North America Autonomous AI and Autonomous Agents Market

  • 6.1. Market Size & Forecast, 2019-2030
    • 6.1.1. By Value (USD Million)
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Technology
    • 6.2.3. By Deployment
    • 6.2.4. By End Use Industry
    • 6.2.5. By Country
      • 6.2.5.1. United States
      • 6.2.5.1.1. By Component
      • 6.2.5.1.2. By Technology
      • 6.2.5.1.3. By Deployment
      • 6.2.5.1.4. By End Use Industry
      • 6.2.5.2. Canada
      • 6.2.5.2.1. By Component
      • 6.2.5.2.2. By Technology
      • 6.2.5.2.3. By Deployment
      • 6.2.5.2.4. By End Use Industry

7. Europe Autonomous AI and Autonomous Agents Market

  • 7.1. Market Size & Forecast, 2019-2030
    • 7.1.1. By Value (USD Million)
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Technology
    • 7.2.3. By Deployment
    • 7.2.4. By End Use Industry
    • 7.2.5. By Country
      • 7.2.5.1. Germany
      • 7.2.5.1.1. By Component
      • 7.2.5.1.2. By Technology
      • 7.2.5.1.3. By Deployment
      • 7.2.5.1.4. By End Use Industry
      • 7.2.5.2. United Kingdom
      • 7.2.5.2.1. By Component
      • 7.2.5.2.2. By Technology
      • 7.2.5.2.3. By Deployment
      • 7.2.5.2.4. By End Use Industry
      • 7.2.5.3. Italy
      • 7.2.5.3.1. By Component
      • 7.2.5.3.2. By Technology
      • 7.2.5.3.3. By Deployment
      • 7.2.5.3.4. By End Use Industry
      • 7.2.5.4. France
      • 7.2.5.4.1. By Component
      • 7.2.5.4.2. By Technology
      • 7.2.5.4.3. By Deployment
      • 7.2.5.4.4. By End Use Industry
      • 7.2.5.5. Spain
      • 7.2.5.5.1. By Component
      • 7.2.5.5.2. By Technology
      • 7.2.5.5.3. By Deployment
      • 7.2.5.5.4. By End Use Industry
      • 7.2.5.6. Belgium
      • 7.2.5.6.1. By Component
      • 7.2.5.6.2. By Technology
      • 7.2.5.6.3. By Deployment
      • 7.2.5.6.4. By End Use Industry
      • 7.2.5.7. Russia
      • 7.2.5.7.1. By Component
      • 7.2.5.7.2. By Technology
      • 7.2.5.7.3. By Deployment
      • 7.2.5.7.4. By End Use Industry
      • 7.2.5.8. The Netherlands
      • 7.2.5.8.1. By Component
      • 7.2.5.8.2. By Technology
      • 7.2.5.8.3. By Deployment
      • 7.2.5.8.4. By End Use Industry
      • 7.2.5.9. Rest of Europe
      • 7.2.5.9.1. By Component
      • 7.2.5.9.2. By Technology
      • 7.2.5.9.3. By Deployment
      • 7.2.5.9.4. By End Use Industry

8. Asia Pacific Autonomous AI and Autonomous Agents Market

  • 8.1. Market Size & Forecast, 2019-2030
    • 8.1.1. By Value (USD Million)
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Technology
    • 8.2.3. By Deployment
    • 8.2.4. By End Use Industry
    • 8.2.5. By Country
      • 8.2.5.1. China
      • 8.2.5.1.1. By Component
      • 8.2.5.1.2. By Technology
      • 8.2.5.1.3. By Deployment
      • 8.2.5.1.4. By End Use Industry
      • 8.2.5.2. India
      • 8.2.5.2.1. By Component
      • 8.2.5.2.2. By Technology
      • 8.2.5.2.3. By Deployment
      • 8.2.5.2.4. By End Use Industry
      • 8.2.5.3. Japan
      • 8.2.5.3.1. By Component
      • 8.2.5.3.2. By Technology
      • 8.2.5.3.3. By Deployment
      • 8.2.5.3.4. By End Use Industry
      • 8.2.5.4. South Korea
      • 8.2.5.4.1. By Component
      • 8.2.5.4.2. By Technology
      • 8.2.5.4.3. By Deployment
      • 8.2.5.4.4. By End Use Industry
      • 8.2.5.5. Australia & New Zealand
      • 8.2.5.5.1. By Component
      • 8.2.5.5.2. By Technology
      • 8.2.5.5.3. By Deployment
      • 8.2.5.5.4. By End Use Industry
      • 8.2.5.6. Indonesia
      • 8.2.5.6.1. By Component
      • 8.2.5.6.2. By Technology
      • 8.2.5.6.3. By Deployment
      • 8.2.5.6.4. By End Use Industry
      • 8.2.5.7. Malaysia
      • 8.2.5.7.1. By Component
      • 8.2.5.7.2. By Technology
      • 8.2.5.7.3. By Deployment
      • 8.2.5.7.4. By End Use Industry
      • 8.2.5.8. Singapore
      • 8.2.5.8.1. By Component
      • 8.2.5.8.2. By Technology
      • 8.2.5.8.3. By Deployment
      • 8.2.5.8.4. By End Use Industry
      • 8.2.5.9. Vietnam
      • 8.2.5.9.1. By Component
      • 8.2.5.9.2. By Technology
      • 8.2.5.9.3. By Deployment
      • 8.2.5.9.4. By End Use Industry
      • 8.2.5.10. Rest of APAC
      • 8.2.5.10.1. By Component
      • 8.2.5.10.2. By Technology
      • 8.2.5.10.3. By Deployment
      • 8.2.5.10.4. By End Use Industry

9. Latin America Autonomous AI and Autonomous Agents Market

  • 9.1. Market Size & Forecast, 2019-2030
    • 9.1.1. By Value (USD Million)
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Technology
    • 9.2.3. By Deployment
    • 9.2.4. By End Use Industry
    • 9.2.5. By Country
      • 9.2.5.1. Brazil
      • 9.2.5.1.1. By Component
      • 9.2.5.1.2. By Technology
      • 9.2.5.1.3. By Deployment
      • 9.2.5.1.4. By End Use Industry
      • 9.2.5.2. Mexico
      • 9.2.5.2.1. By Component
      • 9.2.5.2.2. By Technology
      • 9.2.5.2.3. By Deployment
      • 9.2.5.2.4. By End Use Industry
      • 9.2.5.3. Argentina
      • 9.2.5.3.1. By Component
      • 9.2.5.3.2. By Technology
      • 9.2.5.3.3. By Deployment
      • 9.2.5.3.4. By End Use Industry
      • 9.2.5.4. Peru
      • 9.2.5.4.1. By Component
      • 9.2.5.4.2. By Technology
      • 9.2.5.4.3. By Deployment
      • 9.2.5.4.4. By End Use Industry
      • 9.2.5.5. Rest of LATAM
      • 9.2.5.5.1. By Component
      • 9.2.5.5.2. By Technology
      • 9.2.5.5.3. By Deployment
      • 9.2.5.5.4. By End Use Industry

10. Middle East & Africa Autonomous AI and Autonomous Agents Market

  • 10.1. Market Size & Forecast, 2019-2030
    • 10.1.1. By Value (USD Million)
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Technology
    • 10.2.3. By Deployment
    • 10.2.4. By End Use Industry
    • 10.2.5. By Country
      • 10.2.5.1. Saudi Arabia
      • 10.2.5.1.1. By Component
      • 10.2.5.1.2. By Technology
      • 10.2.5.1.3. By Deployment
      • 10.2.5.1.4. By End Use Industry
      • 10.2.5.2. UAE
      • 10.2.5.2.1. By Component
      • 10.2.5.2.2. By Technology
      • 10.2.5.2.3. By Deployment
      • 10.2.5.2.4. By End Use Industry
      • 10.2.5.3. Qatar
      • 10.2.5.3.1. By Component
      • 10.2.5.3.2. By Technology
      • 10.2.5.3.3. By Deployment
      • 10.2.5.3.4. By End Use Industry
      • 10.2.5.4. Kuwait
      • 10.2.5.4.1. By Component
      • 10.2.5.4.2. By Technology
      • 10.2.5.4.3. By Deployment
      • 10.2.5.4.4. By End Use Industry
      • 10.2.5.5. South Africa
      • 10.2.5.5.1. By Component
      • 10.2.5.5.2. By Technology
      • 10.2.5.5.3. By Deployment
      • 10.2.5.5.4. By End Use Industry
      • 10.2.5.6. Nigeria
      • 10.2.5.6.1. By Component
      • 10.2.5.6.2. By Technology
      • 10.2.5.6.3. By Deployment
      • 10.2.5.6.4. By End Use Industry
      • 10.2.5.7. Algeria
      • 10.2.5.7.1. By Component
      • 10.2.5.7.2. By Technology
      • 10.2.5.7.3. By Deployment
      • 10.2.5.7.4. By End Use Industry
      • 10.2.5.8. Rest of MEA
      • 10.2.5.8.1. By Component
      • 10.2.5.8.2. By Technology
      • 10.2.5.8.3. By Deployment
      • 10.2.5.8.4. By End Use Industry

11. Competitive Landscape

  • 11.1. List of Key Players and Their Offerings
  • 11.2. Global Autonomous AI and Autonomous Agents Market Share Analysis, 2023
  • 11.3. Competitive Benchmarking, By Operating Parameters
  • 11.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)

12. Impact of Escalating Geopolitical Tensions on Global Autonomous AI and Autonomous Agents Market

13. Company Profile (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, SWOT Analysis)

  • 13.1. Google
  • 13.2. IBM
  • 13.3. Microsoft
  • 13.4. Oracle
  • 13.5. Waymo LLC
  • 13.6. Deepmind
  • 13.7. OpenAI
  • 13.8. Salesforce
  • 13.9. SAP SE
  • 13.10. Nvidia Corporation
  • 13.11. Other Prominent Players

14. Key Strategic Recommendations

15. Research Methodology

  • 15.1. Qualitative Research
    • 15.1.1. Primary & Secondary Research
  • 15.2. Quantitative Research
  • 15.3. Market Breakdown & Data Triangulation
    • 15.3.1. Secondary Research
    • 15.3.2. Primary Research
  • 15.4. Breakdown of Primary Research Respondents, By Region
  • 15.5. Assumptions & Limitations

*Financial information of non-listed companies can be provided as per availability.

**The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable