市场调查报告书
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1172690
公民服务 AI 全球市场规模、份额、行业趋势分析报告:按组件、技术、部署模式、组织规模、行业、地区划分的展望和预测,2022-2028 年Global Citizen Services AI Market Size, Share & Industry Trends Analysis Report By Component, By Technology, By Deployment Mode, By Organization Size, By Vertical, By Regional Outlook and Forecast, 2022 - 2028 |
到 2028 年,全球公民服务人工智能市场规模预计将达到 486 亿美元,预测期内復合年增长率为 39.8%。
人工智能在各种政府组织中有相当大的应用。 在道路交通管理方面,闭路电视摄像机实时数据收集、配备机器人的消费者服务中心以及交通流量优化都在使用人工智能发挥巨大作用。 使用算法和机器学习技术从大量数据中识别统计行为并做出准确预测的模型已成为政府的重要因素。
帮助减少管理问题、执行复杂任务和补救资源分配问题是公民服务 AI 的建设性和实际机会。 人工智能以多种方式使用,使生活更加方便和有趣。 从语音识别到自动驾驶汽车、聊天机器人、在线购物、医疗保健技术、流媒体服务、教育到工厂和仓库系统,人工智能正在让市民的生活更轻鬆。
COVID-19 影响分析
AI 行业在大流行期间观察到更强劲的职业前景。 对可以促进安全的隔离触点的需求推动了新技术的产生。 医院和餐馆的非接触式送货和预订系统。 几乎所有教育机构逐渐转向人工智能驱动的智能学习在线学习计划文化,推动了该行业的发展。 公司正在推出人工智能驱动的患者登记选项,以□□满足时代的需求。 因此,AI 市场公民服务受益于 COVID-19 的爆发。
市场增长因素
采用人工智能可以加快决策速度
组织中不断扩大的就业能力和数字化使这一过程变得高效和快速。 随着人工智能技术的引入,企业不再需要手动处理海量数据。 采用更智能的处理和数据管理功能可以提高组织的生产力。 通过利用人工智能和分析,数据来源变得更加准确,让您在竞争激烈的市场中占据优势。
新技术的出现
随着引入物联网 (IoT) 以提高公民满意度以及机器学习和生物特征认证系统等新技术,政府正在与各种组织合作,探索在公民服务中引入人工智能。 . 新兴技术最受企业讚赏,因为它有助于解决公众的不满。 支持与以公民为中心的服务直接交互的技术受到政府以及公共和私营部门的青睐和采用。
市场製约因素
基础设施效率低下,技术工人短缺
强大的框架和环境对于政府机构构建基于 AI 的全面端到端公民服务至关重要。 据观察,大多数组织缺乏基本的基础设施和人力来充分容纳这些用于公民服务的技术。 政府机构知之甚少,因此难以将数字解决方案部署到公民服务中。
组件透视
按组件划分,公民服务 AI 市场分为解决方案和服务。 2021 年,解决方案领域主导了公民服务 AI 市场,占据了最大的收入份额。 通过嵌入人工智能,组织正在部署公民服务解决方案来管理和接收来自公民的信息和服务请求,并响应政府组织的调查。
技术展望
从技术上来看,公民服务AI细分为机器学习、自然语言处理、图像处理、人脸识别等。 2021 年,公民服务 AI 市场在自然语言处理领域实现了最显着的收入增长。 随着采用基于人工智能的文本挖掘工具使医生能够快速搜索大量医学文献,医疗保健行业将在新兴市场中发挥重要作用。
组织规模展望
根据组织规模,公民服务人工智能分为大型企业和中小企业。 2021 年,中小企业部门在公民服务 AI 市场中获得了可观的收入份额。 人工智能正在显着影响小型企业的商业环境。 其中包括简化行政管理、保护数字基础设施、改善中小企业的融资渠道、放鬆管理技能以及降低试验和创新成本。
部署模式展望
Citizen Service AI 按部署模式分为本地和云端。 2021 年,内部部署部门在公民服务 AI 市场中创下了最大的收入。 这是因为使用本地公民服务成本低廉,并且可以使用大量计算能力进行操作。 客户更有可能投资本地服务,因为他们经济实惠或更喜欢资本成本而不是运营成本。 对于需要快速做出数据操作决策的客户来说,它也非常有用。 这些因素正在推动这一领域的市场增长。
行业展望
基于纵轴,Citizen Service AI 分为交通运输、医疗保健、政府和公共部门、能源和公用事业、农业以及教育和培训。 政府和公共部门在 2021 年的 Citizen Service AI 收入最高。 通过利用人工智能和机器学习等各种先进技术,政府正在加快公民服务的提供。 市民现在不再需要排队等候,可以期待立即得到关注和服务。
区域展望
按地区划分,分析了北美、欧洲、亚太地区和 LAMEA 的公民服务 AI 市场。 2021 年,北美地区在公民服务 AI 市场的收入份额最大。 作为新兴市场的前沿,人工智能服务正被用来帮助公民。 从海量数据收集、自动监控到面部识别,人工智能技术正在被用来满足对更好的公民服务日益增长的需求。
合作伙伴关係是市场进入者采取的主要策略。 根据 Cardinal Matrix 中的分析,Microsoft Corporation 是公民服务 AI 市场的先驱。 Tencent Holdings Ltd.、Amazon Web Services, Inc.、Alibaba Group Holding Limited等公司是公民服务人工智能市场的一些主要创新者。
The Global Citizen Services AI Market size is expected to reach $48.6 billion by 2028, rising at a market growth of 39.8% CAGR during the forecast period.
Citizen service in AI refers to the application of AI technology to various government public services. By providing analytical information, public service management, and technological proficiency, the use of AI can transform government functioning and operations. Implying AI will prompt efficiency and provide adequate and evidence-based information and analysis.
Improvising citizen services, demand for digital transformation in the government sector, and rising costs of automation of manual processes to alleviate pressure are amongst some elements that drive the business development of the artificial intelligence for citizen services. Also, the reduction in administrative burdens, complex task performance, and help to resolve allocation issues led to the growth of the market.
Artificial intelligence has considerable applications in varied government organizations. In road traffic management real-time data collection from CCTV cameras, consumer service centres manned by robots, and traffic flow optimization uses AI for enhanced results. Using algorithms and machine learning techniques enormous amounts of data to identify statistical behaviours and models to make precise predictions are the key components for governments.
Assisting in shrinking administrative issues, carrying out complex tasks, and rectifying resource allocation issues have constructive and practical opportunities for citizen service AI. AI is used in countless ways, thereby, making lives more convenient and interesting. From voice recognition to self-driving cars, chatbots, online shopping, healthcare technologies, streaming services, and education to factory and warehouse systems life has eased due to adoption of AI in citizen services.
COVID-19 Impact Analysis
AI industry observes stronger career prospects during the pandemic. The need for isolated contacts that can facilitate safety is the driving force for the production of new technologies. No contact pickup and delivery, or reservation systems in the hospital & restaurants. Almost all educational institutions gradually turning to online study program cultures with AI-powered smart learning have prompted the growth of the industry. Companies are launching AI-powered check-in options for patients to adjust to the need of the time. As a result, the citizen service in AI market has benefited from the outbreak of COVID-19.
Market Growth Factors
Ai Adoption Would Enable Faster Decision Making
The employability and expansion of digitalization in the organisations have made the procedures efficient and faster. With the introduction of AI technologies business do not have to engage themselves with enormous data manually. By engaging into more intelligent processing and data management capabilities, the productivity of organisations will increase. Use of AI and analytics in the organisations will make data procurement more precise and help to row themselves in a competitive market.
The Advent of New Technologies
Due to the enhanced citizen satisfaction by the implementation of the internet of things (IoT), and other emerging technologies, like machine learning and biometric systems, governments along with various organisations are exploring the adoption of artificial intelligence in citizen services. Corporations have the highest regard for emerging technologies as they will assist them in addressing citizen grievances. Technology that helps in direct interaction with citizen-centred services is being preferred and adopted by the government and the public & private sectors.
Market Restraining Factors
Less Availability of Skilled Workers Along with Infrastructure Inefficiency
A sturdy framework and environment are essential for any government organisation to build up comprehensive end-to-end AI-based citizen services. As most organizations do not have the basic infrastructure and manpower, it has been observed that they are unable to properly comply with these technologies for citizen services. Since there is little or poor knowledge among government agencies, the deployment of any digital solutions to citizen services becomes difficult.
Component Outlook
By component, citizen services AI market is divided into solution and services. In 2021, the solution segment dominated the citizen services AI market with maximum revenue share. By incorporating artificial intelligence various organisations are deploying citizen service solutions to manage & receive information and service requests from citizens as well as servicing investigations from government organizations.
Technology Outlook
On the basis of technology, citizen services AI is fragmented into machine learning, natural language processing, image processing, face recognition and others. In 2021, the natural language processing segment generated prominent revenue growth in the citizen services AI market. Healthcare sectors are prominently to play a key role in the new market as artificial intelligence-based text-mining tools are being adopted, allowing the physician to swiftly search through large amounts of medical literature.
Organization Size Outlook
Based on organization size, citizen services AI is bifurcated into large enterprise and SMEs. The SMEs segment procured a promising revenue share in the citizen services AI market in 2021. AI is considerably affecting the SME business environment. The efficiency of the public administration has been enhanced, digital infrastructures have been secured, improved finance access of SMEs', management skills eased and experimentation and innovation cost has been reduced.
Deployment Mode Outlook
By deployment mode, citizen services AI is classified into On-premises and cloud. In 2021, the on-premise segment registered the largest revenue in the citizen services AI market. This is because the use of on-premise citizen services is cheaper and can work with mass amounts of computing power. Being economical or favouring capital expense over operational expenses, customers are more likely to invest in on-premise services. It is also very helpful for customers who need prompt decision-making for data manipulation. These factors would support the market growth in this segment.
Vertical Outlook
On the basis of verticals, the citizen services AI is segmented into transportation, healthcare, government & public sector, energy & utility, agriculture, and education & training. The government & public sector segment recorded the highest revenue in the citizen services AI in 2021. By utilizing various advanced technologies like artificial intelligence and machine learning, the government is speeding up the delivery of citizen services. Now citizens don't have to wait in lines and can expect immediate responses and services.
Regional Outlook
Region wise, the citizen services AI market is analysed across North America, Europe, Asia-Pacific and LAMEA. In 2021, the North America region accounted for the maximum revenue share in the citizen services AI market. Being a repository of a developed market, artificial intelligence services are being used for citizen redressal. From mass data collection, and automated surveillance to face recognition AI technologies are employed to address the rising need for better citizen services.
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation is the forerunner in the Citizen Services AI Market. Companies such as Tencent Holdings Ltd., Amazon Web Services, Inc., Alibaba Group Holding Limited are some of the key innovators in Citizen Services AI Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include ServiceNow, Inc., Microsoft Corporation, IBM Corporation, Accenture PLC, Amazon Web Services, Inc. (Amazon.com, Inc.), Nvidia Corporation, Intel Corporation, Alibaba Group Holding Limited, Tencent Holdings Ltd., and Pegasystems, Inc.
Recent Strategies Deployed in Edge AI Software Market
Partnerships, Collaborations and Agreements:
Sep-2022: Amazon Web Services collaborated with SK Telecom, the information and communications technology division of SK Group. SK Telecom is a South Korea-based telecommunications firm. Under this collaboration, both organizations would work together to develop new computer vision services, which include optimizing classification, extraction, and analysis to derive insights from images. The integration of SK's expertise in AI and AWS's scalability, and elasticity would advance innovation in AI. Additionally, this collaboration would make computer vision applications easier and more economical to develop, use and advance.
Mar-2022: Microsoft extended its partnership with AT&T, a US-based global telecommunications company, providing internet access, security, private networking, etc. services. This partnership involves a service named AT&T Private 5G Edge, which is co-developed by Microsoft. AT&T Private 5G Edge, a platform that uses CBRS and AT&T spectrum. Microsoft along with AT&T aims to advance the consolidation that private wireless solutions require, increasing the speed of deployment. Additionally, under this partnership, both organizations would work on AT&T Private Edge.
Jan-2022: Amazon Web Services extended its partnership with Telenor, a Norwegian-based state-owned telecommunications company, providing data, communication, and telecom services. The extended partnership between AWS and Telenor involves jointly investing in go-to-market activities in various industries including, manufacturing, logistics, supply chain, etc. Additionally, with this partnership, both companies aim to develop the telecommunications industry.
Sep-2021: Synaptics partnered with Edge Impulse, a US-based firm, providing Machine Learning Solutions. This partnership integrates Synaptics' Katana™ Ultra Low-Power Edge AI Platform and Edge Impulse's software development platform. This combination provides Synaptics' clients to develop custom models for the Katana platform that would significantly upgrade time to market for battery-powered connected devices at the edge.
Feb-2021: FogHorn teamed up with IBM, a US-based technology company, primarily into providing software, IT services, hardware, consulting, etc. FogHorn would cash on IBM's cloud expertise, which would enable FogHorn to better serve its clients by enabling them to make well-informed decisions with their data immediately. Additionally, this partnership enables FogHorn to reduce waste, energy consumption, and better up-time.
Jan-2021: AlefEdge partnered with Netris, a US-based company, providing a cloud-like platform that allows networking and non-networking people to have authority over applications. This partnership provides users with an important tool that allows them to build and manage applications and services.
Sep-2020: AlefEdge partnered with NTT, a Japan-based global company providing, information technology and consulting services. This partnership would improve the capability to develop edge applications and has the potential to significantly transform everything IoT, social media, etc.
Sep-2020: AlefEdge came into partnership with NetFoundry, a distributed company providing an open source zero trust networking platform. This partnership integrates NetFoundry's architecture and AlefEdge's Defined Mobile Edge (SD-ME) platform, enabling AlefEdge to offer organizations to create secure 5G-like applications.
Jul-2020: IBM teamed up with EY, a Big 4 accounting firm providing a wide variety of services including, assurance, taxation, valuations, risk management, etc. to organizations across the world. This collaboration involves integrating EY's regulatory knowledge, strategy, and business consulting expertise with IBM's technology and hybrid cloud portfolio to advance IBM's clients toward the cloud and help them update and modify their businesses.
Jul-2020: Google partnered with Orange, a France-based global telecommunications company, primarily into providing cloud computing, network, data, and analytics services. This partnership integrates Google's expertise in cloud technologies, analytics, AI, and Orange's know-how in information, and communication technology services. Additionally, this strategic partnership strengthens Google Cloud's market position in Europe.
Jul-2020: TIBCO teamed up with Microsoft, a US-based global technology company, providing consumer electronics, personal computers, accessories, etc. This collaboration involves the inclusion of Azure AI to TIBCO, providing customers with more flexibility, less time lag, etc.
May-2020: IBM came into collaboration with NVIDIA intending to advance analytics and employ applications at the edge. NVIDIA, an American global technology company, provides integrated circuits, laptops, robotics and edge computing, etc. This collaboration integrated IBM's Edge Application Manager with NVIDIA's EGX to help its clients deliver next-generation IoT, 5G-based, and AI services.
Mergers and Acquisitions:
Nov-2022: Synaptics acquired Emza Visual Sense, an Israel-based firm, primarily into providing visual sensors. This acquisition reinforces Synaptics' market position and allows it to introduce Human Presence Detection (HPD) solutions.
May-2022: Google took over MobiledgeX, an edge computing firm providing a marketplace for edge computing resources and services. This acquisition aligns with Google's plan of action to become the open-source champion of operator cloud-native network transformation.
Mar-2022: Microsoft acquired Nuance Communications, a US-based company that provides speech recognition solutions, healthcare AI solutions and omnichannel customer engagement. This acquisition enables healthcare services providers, a better opportunity to provide economical, attainable healthcare services, and allows organizations in other industries to better serve the needs of their clients.
Feb-2022: AlefEdge acquired CareerGig, a marketplace engaged in linking freelancers with companies across all industries. This acquisition would lead to the first ever edge developer community, providing developers with the necessary tools to develop applications to improve private mobile networks.
Mar-2021: Microsoft took over The Marsden Group, a global technology group, providing industrial technology. This acquisition strengthened Microsoft's potential to create customer value by experimenting and providing deep industry solutions formed on edge, Microsoft cloud, and AI.
Product Launches and Expansions:
Oct-2022: IBM introduced three libraries in the Embeddable AI product portfolio. These three new libraries allow IBM's independent software partners and their development teams a trouble-free path to develop AI solutions through pre-trained models and runtime orchestration.
Mar-2022: Synaptics launched the Edge AI evaluation kit (EVK), built on low-power Katana SoC. The Evaluation kit integrates sound, motion, and vision detection software and hardware with wireless and wired connections to untangle the development of edge AI. This product would complete a comprehensive portfolio including software, hardware, technical support, and wireless connectivity, benefitting Synaptics' clients by enabling them to get their IoT ideas to the market.
Jun-2021: IBM introduced IBM Cloud Pak for Network Automation, a hybrid cloud AI-powered automation software intended to use by communications service providers (CSPs), and can run in varied environments. This product enables IBM to provide better services to its clients in the telco industry, by using AI-powered automation which solves the problem of limited automation and less real-time visibility.
Geographical Expansions:
Feb-2022: Amazon Web Services expanded its global footprint by offering AWS Local Zones services in 32 new metropolitan areas in 26 countries across the world. AWS Local Zones are a kind of AWS infrastructure deployment that brings storage, computing, and other services closer to the end-users.
Market Segments covered in the Report:
By Component
By Technology
By Deployment Mode
By Organization Size
By Vertical
By Geography
Companies Profiled
Unique Offerings from KBV Research
List of Figures