市场调查报告书
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1466660
智慧过程自动化市场:按技术、组件、应用、产业划分 - 2024-2030 年全球预测Intelligent Process Automation Market by Technology (Bots, Computer Vision, Machine and Deep Learning), Component (Services, Solution), Application, Vertical - Global Forecast 2024-2030 |
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预计2023年智慧过程自动化市场规模为134.6亿美元,预计2024年将达155.4亿美元,2030年将达372.3亿美元,复合年增长率为15.63%。
智慧流程自动化 (IPA) 是一种先进的自动化型态,它将机器人流程自动化(RPA) 与人工智慧(AI) 和机器学习技术相结合,模仿人类行为,同时创建能够学习和适应流程和异常的新建构系统。透过将基于规则的自动化与认知元素相结合,IPA 能够实现日常、重复性任务以及需要感知、判断和决策的任务的自动化。对业务流程自动化以及改进的资料分析和决策的需求不断增长正在推动市场成长。此外,各行业不断加大的数位转型力度以及对业务效率的日益关注正在推动市场向前发展。儘管具有潜力,IPA 市场的成长面临限制和挑战,例如高昂的初始实施成本以及对资料隐私和安全的担忧。此外,增强的认知自动化、与物联网 (IoT) 的整合、更多地使用云端基础的解决方案以及开拓产业专用的IPA 解决方案正在为市场扩张开闢新的途径。
主要市场统计 | |
---|---|
基准年[2023] | 134.6亿美元 |
预测年份 [2024] | 155.4亿美元 |
预测年份 [2030] | 372.3亿美元 |
复合年增长率(%) | 15.63% |
技术 更多采用机器学习和深度学习来提高预测准确性和建模能力
机器人被称为机器人流程自动化 (RPA) 工具,是一种软体应用程序,旨在透过模仿人类用户的行为来自动执行重复的、基于规则的任务。机器人对于大量、低复杂性的任务特别有用,例如资料输入、表格填写和基本客户服务。机器人可以节省大量时间和成本,减少人为错误,并使员工专注于更复杂的付加活动。电脑视觉技术允许机器根据周围世界的视觉输入来解释和做出决策,类似于人类视觉。它可用于多种应用,包括品质检查、监控和自动驾驶车辆。需要视觉识别任务的行业,例如製造和零售,是采用电脑视觉技术的理想选择。机器学习 (ML) 和深度学习 (DL) 是人工智慧的子集,其中包括演算法和统计模型,允许电脑在获得经验时改进任务。 ML/DL 对于模式识别、预测分析和复杂的决策流程特别有用。 NLP 技术使电脑能够理解、解释和产生有意义的人类语言形式。它广泛应用于语音辨识、语言翻译和情绪分析等应用。零售和银行等专注于客户服务的行业看到了聊天机器人和虚拟助理的 NLP 功能在改善客户互动方面的巨大优势。神经网路是深度学习的核心要素,受到人类大脑神经元生物网路的启发。他们擅长识别模式并做出资料驱动的决策。探索影像识别和语音辨识、金融和研究领域的复杂分析的组织发现神经网路特别有用。虚拟代理是人工智慧驱动的软体应用程序,可以与人类用户对话来解决问题、提供资讯或引导他们找到适当的资源,而无需人工干预。在通讯、电子商务和旅游服务等高客户互动模式中,虚拟代理可以透过 24/7 支援提高客户满意度,并减少对大型客户服务团队的需求。
增强 AI 功能并将其整合到 IT 营运中,以提高应用自动化
应用管理是指利用人工智慧和机器学习技术来监督软体应用并提高效率。这包括跨不同平台和环境的自动化软体交付和操作流程。业务流程自动化 (BPA) 利用 IPA 原则来简化和增强各种内部业务流程,包括客户服务、资料管理和人力资源。公司正在转向 BPA 来降低成本、提高效率并让员工腾出时间专注于高价值的业务。在智慧流程自动化领域,内容管理是指使用人工智慧来有效管理数位内容。这包括内容创建、储存和分发,以及非结构化资料的资料提取和分类。在 IT 营运中,IPA 在自动化和改进日常任务(例如监控、维护、系统更新和网路管理)方面发挥关键作用。营运经过优化,可以主动预测问题并以最少的人为干预进行纠正。安全性是采用 IPA 技术保护数位资产的首要问题。人工智慧主导的安全解决方案可以侦测威胁、分析行为模式并以超越人类能力的速度和规模回应事件。
区域洞察
在包括美国和加拿大在内的美国地区,IPA 的采用是由需要不断创新和效率的竞争性商业环境所推动的。个人化、快速且可靠的服务交付是消费者需求的核心,这促使企业大力投资 IPA 解决方案。客户购买行为显示出对承诺扩充性以及与现有基础设施整合的解决方案的强烈偏好。欧盟 (EU) 实施的 IPA 建立在强大的法律规范,包括《一般资料保护规范》(GDPR),并且正在影响公司如何实现个人资料自动化流程。欧盟国家拥有多元化的消费者基础,对资料安全和人工智慧的道德使用抱有很高的期望。购买行为青睐符合严格资料保护法的 IPA 解决方案。中东地区对智慧城市倡议的大量投资兴趣激增,这表明房地产、银行和政府服务等领域的 IPA 解决方案市场强劲。亚太地区对人工智慧及相关技术的大量投资就是证明。该市场的特点是消费者精通技术并对人工智慧采用持开放态度。
FPNV定位矩阵
FPNV定位矩阵对于评估智慧过程自动化市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限: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个综合工具,可以对智慧过程自动化市场中供应商的现状进行深入而深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。这种详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4. 竞争评估和情报:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况和製造能力进行全面评估。
5. 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1.智慧过程自动化市场的市场规模与预测是多少?
2.在智慧过程自动化市场的预测期间内,有哪些产品、细分市场、应用程式和领域需要考虑投资?
3.智慧过程自动化市场的技术趋势和法规结构是什么?
4.智慧过程自动化市场主要厂商的市场占有率是多少?
5. 进入智慧过程自动化市场的合适型态和策略手段是什么?
[197 Pages Report] The Intelligent Process Automation Market size was estimated at USD 13.46 billion in 2023 and expected to reach USD 15.54 billion in 2024, at a CAGR 15.63% to reach USD 37.23 billion by 2030.
Intelligent process automation (IPA) is a developed form of automation that amalgamates robotic process automation (RPA) with artificial intelligence (AI) and machine learning technologies to create systems capable of mimicking human actions while also learning and adapting to new processes and exceptions. By combining rules-based automation with cognitive elements, IPA enables the automation of routine and repetitive tasks and those that require perception, judgment, and decision-making. The increasing demand for automation in business processes and improved data analysis & decision-making drives the market growth. Additionally, the rise of digital transformation initiatives across industries and the growing focus on operational efficiency are propelling the market forward. Despite its potential, the growth of the IPA market faces limitations and challenges, including high initial implementation costs and concerns over data privacy and security. Furthermore, enhanced cognitive automation, integration with the Internet of Things (IoT), increased usage of cloud-based solutions, and the development of industry-specific IPA solutions are opening new avenues for market expansion.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 13.46 billion |
Estimated Year [2024] | USD 15.54 billion |
Forecast Year [2030] | USD 37.23 billion |
CAGR (%) | 15.63% |
Technology: Growing adoption of machine and deep learning for predictive accuracy and modeling capabilities
Bots, referred to as robotic process automation (RPA) tools, are software applications designed to automate repetitious, rule-based tasks by imitating the actions of a human user. Bots are particularly useful for high-volume, low-complexity tasks such as data entry, form filling, and basic customer service. Bots can provide substantial time and cost savings, reduce human blunder, and allow employees to focus on more complex, value-added activities. Computer vision technology allows machines to interpret and make decisions based on visual input from the world around them, akin to human vision. It is used in various applications such as quality inspection, surveillance, and autonomous vehicles. Industries that require visual recognition tasks, such as manufacturing or retail, are ideal candidates for adopting computer vision technologies. Machine Learning (ML) and Deep Learning (DL) are subsets of AI involving algorithms and statistical models that enable computers to improve at tasks with experience. ML/DL is particularly beneficial for pattern recognition, predictive analytics, and complex decision-making processes. NLP technologies enable computers to understand, interpret, and generate human language in a meaningful way. They are widely used in applications such as speech recognition, language translation, and sentiment analysis. Customer service-focused industries, such as retail and banking, benefit greatly from NLP capabilities in chatbots and virtual assistants to improve customer interactions. Neural networks are a core element of deep learning, inspired by the biological networks of neurons in the human brain. They are adept at recognizing patterns and making data-driven decisions. Organizations exploring image and speech recognition and complex analysis in finance and research find neural networks particularly beneficial. Virtual agents are AI-powered software applications capable of conducting conversations with human users to resolve issues, provide information, and direct them to appropriate resources without human intervention. High customer interaction models such as telecommunications, e-commerce, and travel services use virtual agents to boost customer satisfaction through 24/7 support and mitigating the need for large customer service teams.
Application: Enhancing & integrating AI capabilities in IT operations to improve automation
Application management refers to the usage of artificial intelligence and machine learning techniques to oversee and improve the efficiency of software applications. It involves the automation of software delivery and operational processes across different platforms and environments. Business process automation (BPA) leverages the principles of IPA to streamline and enhance various internal business processes, such as customer service, data management, and HR. Businesses focus on BPA to cut costs, enhance efficiency, and allow employees to concentrate on high-value tasks. In the realm of intelligent process automation, content management refers to the use of AI to manage digital content efficiently. This includes the creation, storage, and delivery of content and data extraction and classification from unstructured data. In IT operations, IPA plays a significant role in the automation and improvement of routine tasks such as monitoring, maintenance, system updates, and network management. Operations are optimized to preempt issues and rectify them with minimal human intervention. Security has been at the forefront of adopting IPA technologies to protect digital assets. AI-driven security solutions are capable of detecting threats, analyzing behavior patterns, and responding to incidents at a speed and scale beyond human capabilities.
Regional Insights
In the American region encompassing the United States & Canada, the adoption of IPA is driven by a highly competitive business landscape that demands constant innovation and efficiency. Consumer needs are centered around personalized, rapid, and reliable service delivery, which has propelled businesses to invest heavily in IPA solutions. Customer purchasing behavior indicates a strong preference for solutions that promise scalability and integration with existing infrastructure. The European Union's adoption of IPA is structured around its strong regulatory framework, including the General Data Protection Regulation (GDPR), which impacts how businesses approach process automation concerning personal data. European Union countries have a diverse consumer base with high expectations for data security and ethical AI use. Purchasing behavior favors IPA solutions that are compliant with stringent data protection laws. The Middle East shows burgeoning interest with significant investments in smart city initiatives, suggesting a strong market for IPA solutions in sectors such as real estate, banking, and government services. The APAC region is evidenced by its massive investment in AI and related technologies. The market is characterized by consumers who are technology-savvy and open to AI adoption.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Intelligent Process Automation Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis 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: 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 examination of the current state of vendors in the Intelligent Process Automation Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. 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 this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Intelligent Process Automation Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Appian Corporation, Atos SE, Blue Prism Group PLC by SS&C Technologies Holdings, Inc., Capgemini SE, CGI Inc., Cognizant Technology Solutions Corporation, DXC Technology Company, ExlService Holdings, Inc., expert.ai S.p.A., Foundever, Genpact LLC, Happiest Minds Technologies, HCL Technologies Limited, Infosys Limited, International Business Machines Corporation, Laiye Technology, Pegasystems Inc., Robocorp, Tata Consultancy Services Limited, Tecala Group, Tech Mahindra Limited, UiPath, Inc., Wipro Limited, and Xerox Holdings Corporation.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Intelligent Process Automation Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Intelligent Process Automation Market?
3. What are the technology trends and regulatory frameworks in the Intelligent Process Automation Market?
4. What is the market share of the leading vendors in the Intelligent Process Automation Market?
5. Which modes and strategic moves are suitable for entering the Intelligent Process Automation Market?