市場調查報告書
商品編碼
1172690
公民服務 AI 全球市場規模、份額、行業趨勢分析報告:按組件、技術、部署模式、組織規模、行業、地區劃分的展望和預測,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,全球公民服務人工智能市場規模預計將達到 486 億美元,預測期內復合年增長率為 39.8%。
人工智能在各種政府組織中有相當大的應用。 在道路交通管理方面,閉路電視攝像機實時數據收集、配備機器人的消費者服務中心以及交通流量優化都在使用人工智能發揮巨大作用。 使用算法和機器學習技術從大量數據中識別統計行為並做出準確預測的模型已成為政府的重要因素。
幫助減少管理問題、執行複雜任務和補救資源分配問題是公民服務 AI 的建設性和實際機會。 人工智能以多種方式使用,使生活更加方便和有趣。 從語音識別到自動駕駛汽車、聊天機器人、在線購物、醫療保健技術、流媒體服務、教育到工廠和倉庫系統,人工智能正在讓市民的生活更輕鬆。
COVID-19 影響分析
AI 行業在大流行期間觀察到更強勁的職業前景。 對可以促進安全的隔離觸點的需求推動了新技術的產生。 醫院和餐館的非接觸式送貨和預訂系統。 幾乎所有教育機構逐漸轉向人工智能驅動的智能學習在線學習計劃文化,推動了該行業的發展。 公司正在推出人工智能驅動的患者登記選項,以□□滿足時代的需求。 因此,AI 市場公民服務受益於 COVID-19 的爆發。
市場增長因素
採用人工智能可以加快決策速度
組織中不斷擴大的就業能力和數字化使這一過程變得高效和快速。 隨著人工智能技術的引入,企業不再需要手動處理海量數據。 採用更智能的處理和數據管理功能可以提高組織的生產力。 通過利用人工智能和分析,數據來源變得更加準確,讓您在競爭激烈的市場中佔據優勢。
新技術的出現
隨著引入物聯網 (IoT) 以提高公民滿意度以及機器學習和生物特徵認證系統等新技術,政府正在與各種組織合作,探索在公民服務中引入人工智能。 . 新興技術最受企業讚賞,因為它有助於解決公眾的不滿。 支持與以公民為中心的服務直接交互的技術受到政府以及公共和私營部門的青睞和採用。
市場製約因素
基礎設施效率低下,技術工人短缺
強大的框架和環境對於政府機構構建基於 AI 的全面端到端公民服務至關重要。 據觀察,大多數組織缺乏基本的基礎設施和人力來充分容納這些用於公民服務的技術。 政府機構知之甚少,因此難以將數字解決方案部署到公民服務中。
組件透視
按組件劃分,公民服務 AI 市場分為解決方案和服務。 2021 年,解決方案領域主導了公民服務 AI 市場,佔據了最大的收入份額。 通過嵌入人工智能,組織正在部署公民服務解決方案來管理和接收來自公民的信息和服務請求,並響應政府組織的調查。
技術展望
從技術上來看,公民服務AI細分為機器學習、自然語言處理、圖像處理、人臉識別等。 2021 年,公民服務 AI 市場在自然語言處理領域實現了最顯著的收入增長。 隨著採用基於人工智能的文本挖掘工具使醫生能夠快速搜索大量醫學文獻,醫療保健行業將在新興市場中發揮重要作用。
組織規模展望
根據組織規模,公民服務人工智能分為大型企業和中小企業。 2021 年,中小企業部門在公民服務 AI 市場中獲得了可觀的收入份額。 人工智能正在顯著影響小型企業的商業環境。 其中包括簡化行政管理、保護數字基礎設施、改善中小企業的融資渠道、放鬆管理技能以及降低試驗和創新成本。
部署模式展望
Citizen Service AI 按部署模式分為本地和雲端。 2021 年,內部部署部門在公民服務 AI 市場中創下了最大的收入。 這是因為使用本地公民服務成本低廉,並且可以使用大量計算能力進行操作。 客戶更有可能投資本地服務,因為他們經濟實惠或更喜歡資本成本而不是運營成本。 對於需要快速做出數據操作決策的客戶來說,它也非常有用。 這些因素正在推動這一領域的市場增長。
行業展望
基於縱軸,Citizen Service AI 分為交通運輸、醫療保健、政府和公共部門、能源和公用事業、農業以及教育和培訓。 政府和公共部門在 2021 年的 Citizen Service AI 收入最高。 通過利用人工智能和機器學習等各種先進技術,政府正在加快公民服務的提供。 市民現在不再需要排隊等候,可以期待立即得到關注和服務。
區域展望
按地區劃分,分析了北美、歐洲、亞太地區和 LAMEA 的公民服務 AI 市場。 2021 年,北美地區在公民服務 AI 市場的收入份額最大。 作為新興市場的前沿,人工智能服務正被用來幫助公民。 從海量數據收集、自動監控到面部識別,人工智能技術正在被用來滿足對更好的公民服務日益增長的需求。
合作夥伴關係是市場進入者採取的主要策略。 根據 Cardinal Matrix 中的分析,Microsoft Corporation 是公民服務 AI 市場的先驅。 Tencent Holdings Ltd.、Amazon Web Services, Inc.、Alibaba Group Holding Limited等公司是公民服務人工智能市場的一些主要創新者。
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