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市场调查报告书
商品编码
1499382
企业人工智慧市场:按组件、技术、部署、组织规模、应用程式、最终用户划分 - 2024-2030 年全球预测Enterprise AI Market by Component (Service, Solution), Technology (Computer Vision, Deep Learning, Edge Computing), Deployment, Organization Size, Application, End-User - Global Forecast 2024-2030 |
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预计2023年企业人工智慧市场规模为177.8亿美元,预计2024年将达230.5亿美元,2030年将达到1,236.8亿美元,复合年增长率为31.92%。
企业人工智慧是指在组织内策略实施人工智慧(AI)技术,以提高效率、简化业务和增强决策流程。它包含一套由人工智慧驱动的应用程式和工具,旨在满足从预测分析和客户服务自动化到供应链优化和个人化行销的各种业务需求。企业人工智慧的主要驱动力是提高生产力、竞争差异化和提高客户满意度的需求。随着市场变得越来越资料主导,公司正在利用人工智慧来处理大量资料并获得为策略决策提供资讯的见解。此外,自动化复杂流程和降低营运成本的愿望正在推动企业采用人工智慧。然而,缺乏能够实施和管理人工智慧解决方案的熟练人员正在影响企业对人工智慧的采用。对资料隐私的担忧、不确定的法规环境以及人工智慧实施的高昂初始成本也是普及的主要挑战。此外,人工智慧演算法的创新和不断增强的资料处理能力正在推动市场成长。将人工智慧与物联网设备和边缘运算相结合可以彻底改变即时资料处理和分析。
主要市场统计 | |
---|---|
基准年[2023] | 177.8亿美元 |
预测年份 [2024] | 230.5亿美元 |
预测年份 [2030] | 1236.8亿美元 |
复合年增长率(%) | 31.92% |
区域洞察
美洲,特别是美国和加拿大,正在对人工智慧技术进行大量投资,企业人工智慧由于其增强业务运营和客户体验的潜力而处于主导。该地区是许多积极投资人工智慧研发的人工智慧Start-Ups和大公司的所在地。由于需要提高效率和竞争优势,美洲地区的特点是医疗保健、金融和零售等产业对人工智慧工具的采用率很高。欧盟国家正在展示一种以强调道德标准、隐私和安全的政策为指导的人工智慧协作方法。在政府机构的大力支持下,欧洲企业正在加速采用人工智慧,以提高业务效率和永续性,特别是在製造业和汽车业。中东的战略重点是实现经济多元化,摆脱对石油的依赖,对人工智慧进行重大投资,作为其数位转型策略的一部分。儘管非洲公司正处于实施人工智慧的早期阶段,但他们已经开始探索诸如预测农业作物产量、预测医疗保健疾病以及增强金融数位服务等应用。在强调技术进步促进经济成长的政府和国际援助的支持下,投资不断增加。在亚太地区,中国、日本和印度是人工智慧投资和采用的主要参与者。政府雄心勃勃的人工智慧发展计画正在向人工智慧研究和技术基础设施投入大量资源,使得企业在监控、电子商务和智慧城市等领域采用人工智慧的时机已经成熟。日本专注于机器人和深度学习技术,并将其融入汽车和电子等行业。印度正经历充满活力的局势,IT 和软体服务业推动快速普及。
FPNV定位矩阵
FPNV 定位矩阵对于评估供应商在企业 AI 市场的定位至关重要。此矩阵提供了对供应商的全面评估,并检验了与商务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估结果,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可对企业人工智慧市场中供应商的现状进行深入而详细的评估。对供应商贡献的彻底比较和分析可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他关键指标。此外,该分析还提供了对该行业竞争力的宝贵见解,包括研究基准年期间观察到的累积、分散主导地位和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对企业人工智慧市场当前地位的全面评估使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[182 Pages Report] The Enterprise AI Market size was estimated at USD 17.78 billion in 2023 and expected to reach USD 23.05 billion in 2024, at a CAGR 31.92% to reach USD 123.68 billion by 2030.
Enterprise AI refers to the strategic implementation of artificial intelligence (AI) technologies within organizations to improve efficiency, streamline operations, and enhance decision-making processes. It encompasses a suite of AI-powered applications and tools designed to address various business needs, ranging from predictive analytics and customer service automation to supply chain optimization and personalized marketing. The primary drivers of Enterprise AI are the demand for enhanced productivity, competitive differentiation, and customer satisfaction. As markets become increasingly data-driven, enterprises are leveraging AI to process large volumes of data for insights that inform strategic decisions. Additionally, the desire to automate complex processes and reduce operational costs fuels the adoption of AI within corporate entities. However, the shortage of skilled personnel capable of deploying and managing AI solutions impacts AI adoption in enterprises. Data privacy concerns, unclear regulatory environments, and the high initial costs of AI implementation pose considerable challenges to widespread adoption. Furthermore, innovations in AI algorithms and the increased capabilities of data processing boost market growth. Combining AI with IoT devices and edge computing can lead to innovations in real-time data processing and analytics.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 17.78 billion |
Estimated Year [2024] | USD 23.05 billion |
Forecast Year [2030] | USD 123.68 billion |
CAGR (%) | 31.92% |
Regional Insights
In the Americas, particularly in the United States and Canada, there is significant investment in AI technologies, with enterprise AI in a leading position due to its potential to enhance business operations and customer experiences. The region hosts numerous AI startups and established tech giants actively investing in AI research and development. The Americas region is characterized by a high adoption rate of AI tools in sectors including healthcare, finance, and retail, driven by the need to improve efficiency and competitive advantage. EU countries show a collaborative approach towards AI, guided by policies that emphasize ethical standards, privacy, and security. With substantial support from government bodies, European enterprises are increasingly integrating AI to enhance operational efficiency and sustainability, particularly in the manufacturing and automotive industries. In the Middle East, there is a strategic focus on diversifying economies away from oil dependency, leading to significant investments in AI as part of their digital transformation strategies. African enterprises, albeit at an earlier stage of AI adoption, are beginning to explore uses in agriculture for predicting crop yields, healthcare for disease prediction, and finance for enhanced digital services. Investment is growing, assisted by governmental and international aid emphasizing technological advancement for economic growth. In the APAC, China, Japan, and India are significant countries in AI investment and implementation. The government's ambitious AI development plan has propelled vast resources into AI research and technological infrastructure, making it ripe for enterprise AI adoption in areas including surveillance, e-commerce, and smart cities. Japan focuses heavily on robotics and deep learning technologies, integrating these into industries such as automotive and electronics. India presents a dynamic landscape with rapid adoption driven by its IT and software service industries.
Market Insights
The market dynamics represent an ever-changing landscape of the Enterprise AI Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Enterprise AI Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Enterprise AI Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Intel Advances Enterprise AI Landscape with Introduction of Gaudi 3 and Collaborative Open AI Systems
Intel announced the launch of Gaudi 3, a significant development in their AI open systems strategy aimed at enhancing enterprise AI capabilities. These efforts are designed to foster a more integrated and accessible AI ecosystem, ensuring that enterprises can fully leverage advanced AI solutions to drive innovation and efficiency in their operations. [Published On: 2024-04-09]
Wipro Launches Advanced AI Services Platform for Global Enterprises
Wipro has introduced a new platform designed to enhance its delivery of enterprise-level artificial intelligence (AI) services to clients worldwide. This platform aims to boost operational efficiencies, refine customer experiences, and foster innovation by integrating data management capabilities with AI and analytics. Recognized for aiming to tackle complex business challenges, Wipro's platform is equipped to serve various sectors, including banking, healthcare, and retail, marking a significant step in adapting next-generation technologies to meet diverse client needs effectively. [Published On: 2024-02-20]
Recorded Future Unveils New Enterprise AI Platform to Enhance Business Intelligence
Recorded Future has introduced a new Enterprise AI platform designed to significantly advance businesses' intelligence capabilities. The platform leverages state-of-the-art artificial intelligence to analyze vast datasets, enabling companies to uncover, interpret, and utilize actionable intelligence more effectively. By integrating real-time threat analysis and mitigation, this innovative solution promises to enhance security and improve overall business decision-making. [Published On: 2024-02-14]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Enterprise AI Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Enterprise AI Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Adobe Inc., Alteryx, Inc., Amazon Web Services, Inc., C3.ai, Inc., Chetu Inc., Cisco Systems, Inc., Cognizant Technology Solutions Corporation, Databricks, Inc., Dataiku, Dell Inc., Fujitsu Limited, Genpact, Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, Hitachi, Ltd., Huawei Technologies Co., Ltd., Infosys Limited, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, NEC Corporation, Nvidia Corporation, OpenAI OpCo, LLC, Oracle Corporation, Recorded Future, Salesforce, Inc., SAP SE, Siemens AG, Tata Consultancy Services, and Wipro Limited.
Market Segmentation & Coverage