Citizen Services AI Market

Citizen Services AI Market by Technology (ML, NLP, Image Processing and Face Recognition), Vertical (Transportation, Healthcare, Government & Public Sector, Energy & Utilities, Agriculture, and Education & Training) and Region - Global Forecast to 2027

Report Code: TC 7093 Nov, 2022, by marketsandmarkets.com

[250 Pages Report] The global citizen services AI market size is projected to register a CAGR of 44.5% during the forecast period, reaching USD 41.0 Billion by 2027 from an estimated USD 6.5 Billion in 2022. Al has a wide range of opportunities for citizen services. Technologies that are still in the early stages of development can now be used on a variety of government-provided platforms. Additionally, these platforms will be digital by default and highly networked, which will improve issue prediction and data transparency. Al uses big data provided by citizens as well as other available information to analyze citizen data, resulting in an automated system that is effective and economical.

Citizen Services AI Market

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Market Dynamics

Driver: Integration of Al and analytics with citizen services

Government agencies deal with enormous amounts of data that are historically managed manually and saved on paper. Although the introduction and expansion of digitalization have increased the efficiency of government procedures, there is still more work to be done in terms of data management and service delivery. Improving the data management capabilities of governing bodies requires more intelligent processing, which might require hiring more people. A faster and more precise method of acquiring and processing data is to use Al and analytics in the public sector units. Big data, cloud computing, low-cost storage, and sophisticated algorithms are all rapidly developing, making analytics and Al more powerful.

Restraint: Lack of awareness among government organizations about new technologies

Citizen services Al is a well-known concept in regions such as North America and Europe. However, this concept is not well-known by government agencies in developing regions such as Asia Pacific, the Middle East, Africa, and Latin America. Hence, to manage citizen and citizen-related services, government entities continue to rely on legacy technologies. Additionally, there are challenges when implementing the Al for the first time in citizen services because government agencies lack the knowledge necessary to choose the best vendor. The confusion and lack of awareness among government organizations are hampering the growth of the citizen services Al market.

Opportunity: Emergence of advanced technologies

Increasing citizen satisfaction is the primary goal of governments and public service organizations in exploring the implementation of the Internet of Things (IoT) and other emerging technologies, such as ML, video analytics, and biometrics systems. Emerging technologies are being adopted by the public sector and government agencies that have the most direct interaction with citizens or have the biggest responsibility with regard to citizen-facing services. Around the world, governments and government agencies had undergone digital transformations, with many regions still experiencing these transformations. In addition to tackling a variety of difficulties and offering new services, several government transformation efforts aim to improve citizen satisfaction and experience.

Challenge: Lack of expertise and infrastructure among end users

A robust infrastructure and framework are essential for establishing comprehensive and end-to-end Al-based citizen services in any government organization. It is observed that most of the organizations lack the basic infrastructure and manpower to implement various solutions, such as citizen-based Al services. Additionally, there is a dearth of knowledge about digital technology among government entities, which results in the poor deployment of any digital solution. Government organizations choose the incorrect vendor to implement Al services due to a lack of competence, which eventually results in higher costs. Additionally, organizations struggle to effectively communicate their internal procedures to vendors after choosing one, which adds a further layer of complexity.

Machine learning technology expected to lead market during forecast period

Among technologies, machine learning (ML) technology is anticipated to lead the citizen services AI market during the forecast period. ML enables systems to learn without being explicitly programmed. This technology can reliably and quickly scan, parse, and react to anomalies and automatically improve their performance with experience. It enables government agencies to deliver more sophisticated, economical, and better citizen services. Due to these benefits, government organizations across the globe are keen on utilizing Al across several verticals.

Government and public sector to account for largest market share during forecast period

The government and public sector vertical is expected to account for the largest market share during the forecast period. Government agencies across the globe are seeking novel ways to boost citizen engagement and satisfaction in light of the current rapid pace of technological innovation and rising citizen expectations. The amount of AI adoption and maturity in the government and public sector varies based on the government agencies, the dependency of the infrastructure on legacy systems, and the workforce's proficiency.

North America to account for largest market size during forecast period

By region, North America is estimated to lead the citizen services AI market during the forecast period. Regarding the deployment of AI solutions for citizen services, the region has the most developed market. Face recognition, automated surveillance, and mass data collecting are instances of AI applications that address the growing demand for better services for citizens. Also, the growing AI-based investments and research activities along with the strong IT infrastructure and ecosystem drive the growth of the citizen services AI market in this region.

Citizen Services AI Market Size, and Share

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Key Market Players

The citizen services AI providers have implemented various organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major players in the citizen services AI market include IBM (US), ServiceNow (US), AWS (US), NVIDIA (US), Microsoft (US), Intel (US), Alfresco (US), Waymo (US), Voyager Labs (US), Accenture (Ireland), Alibaba (China), Tencent (China), Pegasystems (US), Baidu (China), Automation Anywhere (US), OpenText (Canada), H2O.AI (US), and ADDO (Singapore).

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Scope of the Report

Report Metric

Details

Market size available for years 2016–2027
Base year considered 2022
Forecast period 2022–2027
Forecast units USD (Million/Billion)
Segments covered Component, Technology, Organization Size, Deployment Mode, Vertical, and Region
Component, Technology, Organization Size, Deployment Mode, Vertical, and Region North America, Europe, Asia Pacific, Middle East and Africa, and Latin America
Companies covered IBM (US), ServiceNow (US), AWS (US), NVIDIA (US), Microsoft (US), Intel (US), Alfresco (US), Waymo (US), Voyager Labs (US), Accenture (Ireland), Alibaba (China), Tencent (China), Pegasystems (US), Baidu (China), Automation Anywhere (US), OpenText (Canada), H2O.AI (US), ADDO (Singapore), We Build Bots (UK), Cardinality.AI (US), KareXpert (India), MindTitan (Estonia), XenonStack (US), Vebits AI (Singapore), LiveRoad Analytics (US), Nauto (US).

This research report categorizes the citizen services AI market based on component, technology, deployment type, organization size, vertical, and region.

By Component
  • Solution
  • Services
By Technology:
  • Machine Learning
  • Natural Language Processing
  • Image Processing
  • Face Recognition
  • Others (Speech Recognition, Voice Recognition)
By Organization Size:
  • Large Enterprises
  • SMEs
By Deployment Mode:
  • On-premises
  • Cloud
By Verticals:
  • Transportation
  • Healthcare
  • Government and Public Sector
  • Energy & Utility
  • Agriculture
  • Education and Training
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • Singapore Rest of Asia Pacific
  • Middle East and Africa
    • Kingdom of Saudi Arabia
    • UAE
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments:

  • In June 2022, Intel announced that it had collaborated with the Government of India to offer solutions to solve road safety issues. Intel displayed its Onboard Fleet Services, a commercial vehicle fleet safety solution powered by AI. The solution enables the delivery of technology that had been tried and tested specifically for Indian circumstances. It provides capabilities for Fleet Telematics, Fleet Health, Driver Monitoring Systems, Collision Avoidance Systems, and Fuel Efficiency as well.
  • In June 2022, Microsoft and Accenture, along with their joint venture Avanade, partnered to tackle critical challenges in expanding the future's broader environmental, social, and governance. This is made achievable by the potent combination of Accenture Sustainability Services, Avanade's human-centered digital experience, Microsoft Cloud, and each company's strong data and artificial intelligence capabilities.
  • In May 2022, ServiceNow partnered with Australia’s Department of Industry, Science, Energy and Resources to implement the ServiceNow Protected Platform which would help the Australian Government to meet data security and sovereignty for government and industries as well. This partnership would enhance the employee experience of the Department of Industry, Science, Energy and Resources.
  • In December 2021, AWS partnered with Pfizer to encourage quicker innovation and better clinical production processes to create treatments for the future. By integrating predictive maintenance tools created with AWS machine learning services such as Amazon Lookout for Equipment, AWS is assisting Pfizer in improving its continuous clinical production operations.
  • In June 2021, IBM collaborated with Pandora, with the intent to transform and scale Pandora's omnichannel e-commerce capabilities with IBM Sterling Order Management. This partnership enables Pandora to increase its supply chain resiliency and business agility, and better mitigate disruptions and risks.
  • In December 2021, Accenture collaborated with Banco Bilbao Vizcaya Argentaria to fuel digital transformation by applying analytics and AI to drive faster decision-making and enhance the customer service experience.
  • In October 2021, ServiceNow in Australia partnered with New South Wales Health to fuel the vaccination program across the state. New South Wales Health had opted for ServiceNow VAM solutions designed to manage the entire vaccination process, from booking an appointment, tracking doses, and recording clinical information to interfacing with the Australian Immunization Register.

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TABLE OF CONTENTS

1 INTRODUCTION
    1.1 OBJECTIVES OF THE STUDY
    1.2 MARKET DEFINITION
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED FOR THE STUDY
    1.4 CURRENCY CONSIDERED
    1.5 STAKEHOLDERS
    1.6 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY
    2.1 RESEARCH DATA
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
    2.4 MARKET FORECAST
    2.5 COMPANY EVALUATION MATRIX METHODOLOGY
    2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY
    2.7 ASSUMPTIONS FOR THE STUDY
    2.8 LIMITATIONS OF THE STUDY

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN CITIZEN SERVICES AI MARKET
    4.2 CITIZEN SERVICES AI MARKET, BY VERTICAL
    4.3 CITIZEN SERVICES AI MARKET, BY REGION
    4.4 CITIZEN SERVICES AI MARKET, BY COMPONENT AND DEPLOYMENT MODE

5 MARKET OVERVIEW AND INDUSTRY TRENDS
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
           5.2.1 DRIVERS
                    5.2.1.1 Need for IT modernization
                    5.2.1.2 Integration of AI and analytics with citizen services
                    5.2.1.3 Growing demand for automation
                    5.2.1.4 Low operational and initial costs
           5.2.2 RESTRAINTS
                    5.2.2.1 Lack of specialized expertise
                    5.2.2.2 Lack of awareness among government organizations about new technologies
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Increasing demand for citizen services AI
                    5.2.3.2 Advent of new technologies
                    5.2.3.3 Organizations’ willingness to use advanced technologies to create opportunities
           5.2.4 CHALLENGES
                    5.2.4.1 Issues related to IT modernization
                    5.2.4.2 Integration issues with organizations’ internal processes
                    5.2.4.3 Lack of expertise and infrastructure among end users
    5.3 INVESTMENTS IN CITIZEN SERVICES AI MARKET
    5.4 EVOLUTION
    5.5 CITIZEN SERVICES AI MARKET: ECOSYSTEM
    5.6 CASE STUDY ANALYSIS
           5.6.1 TRANSPORTATION
                    5.6.1.1 Keolis had incorporated Intelagent platform to offers passengers a more convenient way to find information around journey planning
           5.6.2 HEALTHCARE
                    5.6.2.1 Use Case 1: IQVIA had selected Automation Anywhere to boost operational effectiveness across geographies
           5.6.3 GOVERNMENT & PUBLIC SECTOR
                    5.6.3.1 Use Case 1: Canadian government uses an AI-powered Voice of the Customer from OpenText Magellan to encourage transparency and acquire useful information.
           5.6.4 ENERGY & UTILITIES
                    5.6.4.1 Use Case 1: Engine selected OpenText Intelligence Capture to foster the long-term loyalty of energy customers in Italy
           5.6.5 EDUCATION & TRAINING
                    5.6.5.1 Use Case 1: University of Melbourne selected Automation Anywhere to  reduced duplication and delays while improving customer experience
    5.7 TECHNOLOGY ANALYSIS
           5.7.1 CITIZEN SERVICES AI AND BIG DATA ANALYTICS
           5.7.2 CITIZEN SERVICES AI, AND MACHINE LEARNING
           5.7.3 CITIZEN SERVICES AI AND CLOUD COMPUTING
           5.7.4 CITIZEN SERVICES AI AND INTERNET OF THINGS (IOT)
    5.8 SUPPLY/VALUE CHAIN ANALYSIS
    5.9 PORTER’S FIVE FORCE ANALYSIS
           5.9.1 THREAT OF NEW ENTRANTS
           5.9.2 THREAT OF SUBSTITUTES
           5.9.3 BARGAINING POWER OF SUPPLIERS
           5.9.4 BARGAINING POWER OF BUYERS
           5.9.5 INTENSITY OF COMPETITIVE RIVALRY
    5.10 PRICING MODEL ANALYSIS
    5.11 PATENT ANALYSIS
           5.11.1 METHODOLOGY
           5.11.2 DOCUMENT TYPE
           5.11.3 INNOVATION AND PATENT APPLICATIONS
                    5.11.3.1 Top applicants
    5.12 KEY CONFERENCES AND EVENTS, 2022–2023
    5.13 TARIFF AND REGULATORY LANDSCAPE
           5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.13.2 NORTH AMERICA: REGULATIONS
                    5.13.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
                    5.13.2.2 Gramm-Leach-Bliley (GLB) Act
                    5.13.2.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996
                    5.13.2.4 Federal Information Security Management Act (FISMA)
                    5.13.2.5 Federal Information Processing Standards (FIPS)
                    5.13.2.6 California Consumer Privacy Act (CSPA)
           5.13.3 EUROPE: TARIFFS AND REGULATIONS
                    5.13.3.1 GDPR 2016/679 is a regulation in EU
                    5.13.3.2 General Data Protection Regulation
                    5.13.3.3 European Committee for Standardization (CEN)
                    5.13.3.4 European Technical Standards Institute (ETSI)
    5.14 KEY STAKEHOLDERS AND BUYING CRITERIA
           5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
           5.14.2 BUYING CRITERIA

6 CITIZEN SERVICES AI MARKET, BY COMPONENT
    6.1 INTRODUCTION
           6.1.1 COMPONENTS: CITIZEN SERVICES AI MARKET DRIVERS
    6.2 SOLUTION
           6.2.1 GROWING NEED TO PROVIDE BETTER CITIZEN EXPERIENCE ENABLES GOVERNMENT AGENCIES TO ADOPT CITIZEN SERVICES AI SOLUTION
    6.3 SERVICES
           6.3.1 PROFESSIONAL SERVICES
                    6.3.1.1 Consulting
                               6.3.1.1.1 Consulting services enable organizations to lower risks, reduce complexities, and increase RoI
                    6.3.1.2 Support and Maintenance
                               6.3.1.2.1 Growth in support and maintenance services demand due to need for upgradation to existing platforms and assistance for solving issues
                    6.3.1.3 Deployment and Integration
                               6.3.1.3.1 Analyzing the client’s needs and understanding their operational functionalities enables the wide acceptance of deployment and maintenance among ends users
           6.3.2 MANAGED SERVICES
                    6.3.2.1 The challenges faced by organizations to concentrate on their core business procedures leads to a high reliance on third parties for offering managed service

7 CITIZEN SERVICE AI MARKET, BY ORGANIZATION SIZE
    7.1 INTRODUCTION
           7.1.1 ORGANIZATION SIZE: CITIZEN SERVICES AI MARKET DRIVERS
    7.2 LARGE ENTERPRISES
           7.2.1 THE LARGE ENTERPRISES SHOW AN INCLINATION TOWARDS ADOPTING ADVANCE TECHNOLOGIES SUE TO HAVING HUGE AMOUNT OF DATA ACROSS BUSINESS FUNCTIONS
    7.3 SMALL AND MEDIUM-SIZED ENTERPRISES
           7.3.1 SMALL AND MEDIUM-SIZED ENTERPRISES STARTED ADOPTING ADVANCE TECHNOLOGIES TO IMPROVE COMPETITIVENESS AND REDUCE OPERATING COSTS

8 CITIZEN SERVICE AI MARKET, BY DEPLOYMENT MODE
    8.1 INTRODUCTION
           8.1.1 DEPLOYMENT MODE: CITIZEN SERVICES AI MARKET DRIVERS
    8.2 ON-PREMISES
           8.2.1 FACTORS SUCH AS THE REAL-TIME AVAILABILITY OF DATA FOR EXTRACTING INSIGHTS LEADS TO THE RAPID ADOPTION OF ON-PREMISES DEPLOYMENT
    8.3 CLOUD
           8.3.1 COST-EFFECTIVENESS, EASE OF ACCESS, AND SCALABILITY TO BOOST ADOPTION OF CLOUD-BASED CITIZEN SERVICES AI SOLUTIONS

9 CITIZEN SERVICES AI MARKET, BY TECHNOLOGY
    9.1 INTRODUCTION
           9.1.1 TECHNOLOGY: CITIZEN SERVICES AI MARKET DRIVERS
    9.2 MACHINE LEARNING
           9.2.1 ABILITY TO DELIVER MORE SOPHISTICATED, ECONOMICAL, AND BETTER CITIZEN SERVICES ENABLES THE ADOPTION OF MACHINE LEARNING IN CITIZEN SERVICE AI SOLUTION
    9.3 NATURAL LANGUAGE PROCESSING
           9.3.1 NATURAL LANGUAGE PROCESSING TECHNOLOGY OFFER NECESSARY TOOLS TO EXTRACT PATTERN AND INSIGHTS TO ENHANCE THE QUALITY OF CITIZEN SERVICES
    9.4 IMAGE PROCESSING
           9.4.1 THE GROWING APPLICATION OF AI IMAGE PROCESSING ACROSS VARIOUS VERTICALS UNCOVER INSIGHTS AND AUTOMATE A VARIETY OF USE CASES
    9.5 FACE RECOGNITION
           9.5.1 THE TECHNOLOGY HAS GAINED TRACTION DUE TO ITS APPLICATIONS IN FIELD OF CRIME DETECTION AND IDENTITY DETECTION
    9.6 OTHER TECHNOLOGIES

10 CITIZEN SERVICES AI MARKET, BY VERTICAL
     10.1 INTRODUCTION
             10.1.1 VERTICAL: CITIZEN SERVICES AI MARKET DRIVERS
             10.1.2 CITIZEN SERVICES AI MARKET: ENTERPRISE USE CASES
     10.2 TRANSPORTATION
             10.2.1 MODE OF TRANSPORT
                       10.2.1.1 AIR
                                   10.2.1.1.1 The potential to enhance the operational performance of airlines for delivering enhanced citizen service leads to the adoption of AI based citizen services solution
                       10.2.1.2 ROAD
                                   10.2.1.2.1 Multiple enhancements to road safety by utilizing the predictive power of AI leads to enhanced road infrastructure and post-crash response
                       10.2.1.3  RAILWAYS
                                   10.2.1.3.1 To compete with the shift to autonomous vehicles, the railways incorporate AI-based solutions into its modernization to benefit the citizens
             10.2.2 APPLICATION
                       10.2.2.1 SMART TICKETING
                                   10.2.2.1.1 Smart ticketing offers a seamless travel experiece to citizens and steadily gaining popularity
                       10.2.2.2 URBAN TRAFFIC PLANNING
                                   10.2.2.2.1 Growing need for real-time data from various means of transportation to manage traffic congestions enables the adoption AI and ML based traffic management solutions
                       10.2.2.3 ROUTE PLANNING AND MAPPING
                                   10.2.2.3.1 Emergence of advance technologies revolutionize the process of route optimization by ensuring that vehicles choose the most effective path in real-time
                       10.2.2.4 HIGHWAY & ROAD SAFETY
                                   10.2.2.4.1 The rapid adoption of ai based solutions increases the effectiveness and efficiency of road safety systems
                       10.2.2.5 TOLL & REVENUE MANAGEMENT
                                   10.2.2.5.1 The rapid adoption of AI based solutions increases the effectiveness and efficiency of road safety systems
                       10.2.2.6 OTHER APPLICATIONS
     10.3 HEALTHCARE
             10.3.1 PERSONALIZED MEDICINE
                       10.3.1.1 Personalized medicine provides enhanced individualized healthcare for all citizens and holds a great potential
             10.3.2 PREDICTIVE HEALTHCARE DIAGNOSTIC
                       10.3.2.1 The adoption of advance technologies helps in enhancing the precision of medical diagnoses
             10.3.3 PATIENT RECORD AND DATA MANAGEMENT
                       10.3.3.1 The vast volume of patient health data would be easily utilized with the help of ai in assessment of patient satisfaction
             10.3.4 PATIENT CARE MANAGEMENT
                       10.3.4.1 The demand for personalized care planning to generate best result possible creating potential to advance population health
             10.3.5 HEALTH EMERGENCY MANAGEMENT
                       10.3.5.1 The demand for personalized care planning to generate best result possible creating potential to advance population health
             10.3.6 OTHER APPLICATIONS
     10.4 GOVERNMENT & PUBLIC SECTOR
             10.4.1 CRIME INVESTIGATION
                       10.4.1.1 The rapid adoption technologies such as AI & ML helps government agencies in identifying criminals and sentencing judgements and granting bails as well
             10.4.2 SECURITY & SURVEILLANCE
                       10.4.2.1 The need to provide the safety and security to the citizens of the country leads to the rapid adoption of AI-based security & surveillance systems
             10.4.3 E-GOVERNANCE & DIGITAL CITY SERVICES
                       10.4.3.1 Adopting cutting-edge technology enables to provide the enhanced governance practices to citizens and involved them in the decision-making process
             10.4.4 LAW ENFORCEMENT
                       10.4.4.1 The potential use of AI for law enforcement enables authorities the chance to predict, foresee, and prevent crime more accurately
             10.4.5 DISASTER MANAGEMENT & CALAMITY CONTROL
                       10.4.5.1 Governments across the are adopting advance technologies to provide efficient relief efforts to citizens from natural disasters
             10.4.6 INFRASTRUCTURE PLANNING & MANAGEMENT
                       10.4.6.1 The rising living standards and operational effectiveness required by modern cities helps government to offer better service delivery
             10.4.7 TAX AND REVENUE MANAGEMENT
                       10.4.7.1 Tax and Revenue Management helps governments in detecting irregular financial behaviour by adopting AI technology
             10.4.8 OTHER APPLICATIONS
     10.5 ENERGY & UTILITIES
             10.5.1 RESOURCE MONITORING AND MANAGEMENT
                       10.5.1.1 The growing demand for advance technologies enables utilities companies in proper resource management and monitoring
             10.5.2 CUSTOMER INFORMATION AND OUTAGE MANAGEMENT
                       10.5.2.1 AI and Machine Learning technology can enable organizations in effective outage management with an adequate plan
             10.5.3 ENVIRONMENT MANAGEMENT
                       10.5.3.1 To aid in adaption and mitigation of environmental changes, governments and tech firms are showing heavy interest in machine-based learning systems
             10.5.4 BILLING AND PAYMENT MANAGEMENT
                       10.5.4.1 The adoption of sophisticated sensors to varying degrees to identify the various sorts of trash enables in efficient smart waste management
             10.5.5 SMART WASTE MANAGEMENT
                       10.5.5.1 The digital payment option offers comfort and convenience for citizen and increased accountability, transparency, and traceability
             10.5.6 OTHER APPLICATIONS
                       10.5.6.1 The growing usage of advance technologies enables to perform the activity which is impossible to complete manually
     10.6 AGRICULTURE
             10.6.1 SOIL TESTING
                       10.6.1.1 Adopting advance technologies enables farmers to get the parameters of the soil health of agricultural fields
             10.6.2 CROP DISEASES DETECTION AND PROTECTION
                       10.6.2.1 Smart farming systems with advance technologies enables framers to identify disease and protect crops
             10.6.3 CROP MONITORING
                       10.6.3.1 Smart farming systems with advance technologies enables framers to identify disease and protect crops
             10.6.4 SMART IRRIGATION
                       10.6.4.1 The advent of advance technologies enhanced the irrigation systems and maximizes water usage effectiveness
             10.6.5 LIVE STOCK MANAGEMENT
                       10.6.5.1 Applying artificial intelligence in livestock management increase the output rate of high-quality feeding animals
             10.6.6 AGRICULTURE FINANCE
                       10.6.6.1 Adoption of AI in Agri-finance farmers to avoid financial turmoil and improve financial management
     10.7 EDUCATION & TRAINING
             10.7.1 CURRICULUM MANAGEMENT AND DELIVERY
                       10.7.1.1 Technologies assist citizens in eliminating silos and offers enhanced intelligence of government systems
             10.7.2 ADAPTIVE LEARNING AND ASSESSMENT
                       10.7.2.1 Adaptive learning offers real-time tracking of every encounter which enables to keep track of student developments
             10.7.3 TRAINING AND COACHING
                       10.7.3.1 Training and coaching help individuals to develop and grow their knowledge and skills at their own pace
             10.7.4 PERSONALIZED EDUCATION
                       10.7.4.1 Personalized education enables individuals to meet their needs and learning goals as per their convenience
             10.7.5 SCHOLARSHIP MANAGEMENT
                       10.7.5.1 Scholarships offer financial assistance and encourages individuals to learn and pursue their career by enrolling for higher studies

11 CITIZEN SERVICES AI MARKET, BY REGION
     11.1 INTRODUCTION
     11.2 NORTH AMERICA
             11.2.1 NORTH AMERICA: CITIZEN SERVICES AI MARKET DRIVERS
             11.2.2 UNITED STATES
                       11.2.2.1 The presence of several global players across the country would increases the demand for AI citizen services solutions for enhanced support and recommendation to government organizations
             11.2.3 CANADA
                       11.2.3.1 Adopting artificial intelligence technologies in the public sector enables government in making efficient administrative decisions and  to enhance service delivery across country
     11.3 EUROPE
             11.3.1 EUROPE: CITIZEN SERVICES AI MARKET DRIVERS
             11.3.2 UNITED KINGDOM
                       11.3.2.1 Focusing on the research and development of advance technologies and growing investments by government organizations would drive the growth of market across the country
             11.3.3 GERMANY
                       11.3.3.1 The rapid adoption modern technologies across various verticals would  fuel the expansion of the Citizen Services AI market
             11.3.4 FRANCE
                       11.3.4.1 Increasing investments to AI start-ups across the country fuels the development of the artificial intelligence ecosystem in France
             11.3.5 REST OF EUROPE
     11.4 ASIA PACIFIC
             11.4.1 ASIA PACIFIC: CITIZEN SERVICES AI MARKET DRIVERS
             11.4.2 CHINA
                       11.4.2.1 Rapid adoption of advance technologies to offer smarter services across various verticals would increase the demand for Citizen Services AI solutions
             11.4.3 JAPAN
                       11.4.3.1 The growing of innovative technologies and the initiatives taken by the country driving the growth Citizen Services AI market
             11.4.4 INDIA
                       11.4.4.1 The several initiatives and investment made by the government for offering a better citizen experience would drive the growth of market
             11.4.5 SINGAPORE
                       11.4.5.1 Rising investments on citizen services to harness technology for societal and economic advancement will drive the adoption of citizen services AI solutions in Singapore
             11.4.6 REST OF ASIA PACIFIC
     11.5 MIDDLE EAST & AFRICA
             11.5.1 MIDDLE EAST & AFRICA: CITIZEN SERVICES AI MARKET DRIVERS
             11.5.2 KINGDOM OF SAUDI ARABIA
                       11.5.2.1 Increasing economic growth and awareness of advanced technologies led to the rapid adoption of citizen services AI solutions and services
             11.5.3 UNITED ARAB EMIRATES
                       11.5.3.1 Growing investment in multiple existing firms and startups provides opportunities to transform the citizen experiences
             11.5.4 REST OF MIDDLE EAST & AFRICA
     11.6 LATIN AMERICA
             11.6.1 LATIN AMERICA: CITIZEN SERVICES AI MARKET DRIVERS
             11.6.2 BRAZIL
                       11.6.2.1 Increasing awareness of the benefits of advanced technology among government organizations is driving the demand for Citizen Services AI market
             11.6.3 MEXICO
                       11.6.3.1 Rapid adoption of modern technology and initiatives taken by government is driving the growth of the market
             11.6.4 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE
     12.1 OVERVIEW4
     12.2 KEY PLAYER STRATEGIES
     12.3 REVENUE ANALYSIS
     12.4 MARKET SHARE ANALYSIS
     12.5 COMPANY EVALUATION MATRIX
             12.5.1 STARS
             12.5.2 EMERGING LEADERS
             12.5.3 PERVASIVE PLAYERS
             12.5.4 PARTICIPANTS
     12.6 STARTUP AND SME EVALUATION MATRIX
             12.6.1 PROGRESSIVE COMPANIES
             12.6.2 RESPONSIVE COMPANIES
             12.6.3 DYNAMIC COMPANIES
             12.6.4 STARTING BLOCKS
     12.7 COMPETITIVE BENCHMARKING
     12.8 COMPETITIVE SCENARIO
             12.8.1 PRODUCT LAUNCHES
             12.8.2 DEALS
             12.8.3 OTHERS

13 COMPANY PROFILES
     13.1 INTRODUCTION
     13.2 MAJOR PLAYERS
             13.2.1 SERVICENOW
                       13.2.1.1 Business overview
                       13.2.1.2 Products/Solutions/Services offered
                       13.2.1.3 Recent developments
                       13.2.1.4 MNM view
                                   13.2.1.4.1 Key strengths/Right to win
                                   13.2.1.4.2 Strategic choices made
                                   13.2.1.4.3 Weaknesses and competitive threats
             13.2.2 MICROSOFT
                       13.2.2.1 Business overview
                       13.2.2.2 Products/Solutions/Services offered
                       13.2.2.3 Developments
                       13.2.2.4 MNM view
                                   13.2.2.4.1 Key strengths/Right to win
                                   13.2.2.4.2 Strategic choices made
                                   13.2.2.4.3 Weaknesses and competitive threats
             13.2.3 IBM
                       13.2.3.1 Business overview
                       13.2.3.2 Products/Solutions/Services offered
                       13.2.3.3 Recent developments
                       13.2.3.4 MNM view
                                   13.2.3.4.1 Key strengths/Right to win
                                   13.2.3.4.2 Strategic choices made
                                   13.2.3.4.3 Weaknesses and competitive threats
             13.2.4 ACCENTURE
                       13.2.4.1 Business overview
                       13.2.4.2 Products/Solutions/Services offered
                       13.2.4.3 Recent Developments
                       13.2.4.4 MNM view
                                   13.2.4.4.1 Key strengths/Right to win
                                   13.2.4.4.2 Strategic choices made
                                   13.2.4.4.3 Weaknesses and competitive threats
             13.2.5 AWS
                       13.2.5.1 Business overview
                       13.2.5.2 Products/Solutions/Services offered
                       13.2.5.3 Recent Developments
                       13.2.5.4 MNM view
                                   13.2.5.4.1 Key strengths/Right to win
                                   13.2.5.4.2 Strategic choices made
                                   13.2.5.4.3 Weaknesses and competitive threats
             13.2.6 NVIDIA
                       13.2.6.1 Business overview
                       13.2.6.2 Products/Solutions/Services offered
                       13.2.6.3 Recent Developments
             13.2.7 INTEL
                       13.2.7.1 Business overview
                       13.2.7.2 Products/Solutions/Services offered
                       13.2.7.3 Recent Developments
             13.2.8 ALIBABA
                       13.2.8.1 Business overview
                       13.2.8.2 Products/Solutions/Services offered
                       13.2.8.3 Recent Developments
             13.2.9 TENCENT
                       13.2.9.1 Business overview
                       13.2.9.2 Products/Solutions/Services offered
                       13.2.9.3 Recent Developments
             13.2.10 PEGASYSTEM
                       13.2.10.1 Business overview
                       13.2.10.2 Products/Solutions/Services offered
                       13.2.10.3 Recent Developments
             13.2.11 BAIDU
                       13.2.11.1 Business overview
                       13.2.11.2 Products/Solutions/Services offered
                       13.2.11.3 Recent Developments
             13.2.12 AUTOMATION ANYWHERE
                       13.2.12.1 Business overview
                       13.2.12.2 Products/Solutions/Services offered
                       13.2.12.3 Recent Developments
             13.2.13 OPENTEXT
                       13.2.13.1 Business overview
                       13.2.13.2 Products/Solutions/Services offered
                       13.2.13.3 Recent Developments
             13.2.14 H2O.AI
                       13.2.14.1 Business overview
                       13.2.14.2 Products/Solutions/Services offered
                       13.2.14.3 Recent Developments
             13.2.15 ADDO
             13.2.16 ALFRESCO
             13.2.17 WAYMO
             13.2.18 VOYAGER LABS
     13.3 STARTUP/SME PROFILES
             13.3.1 WE BUILD BOTS
             13.3.2 CARDINALITY.AI
             13.3.3 KAREXPERT
             13.3.4 MINDTITAN
             13.3.5 XENONSTACK
             13.3.6 VEBITS AI
             13.3.7 LIVEROAD ANALYTICS
             13.3.8 NAUTO

14 APPENDIX
     14.1 ADJACENT AND RELATED MARKETS
             14.1.1 INTRODUCTION
             14.1.2 PUBLIC SAFETY AND SECURITY MARKET—GLOBAL FORECAST TO 2026
                       14.1.2.1 Market definition
                       14.1.2.2 Market overview
                                   14.1.2.2.1 Public Safety and Security Market, by component
                                   14.1.2.2.2 Public Safety and Security market, by Solution
                                   14.1.2.2.3 Public Safety and Security market, by industry vertical
                                   14.1.2.2.4 Public Safety and Security market, by region
             14.1.3 ARTIFICIAL INTELLIGENCE MARKET - GLOBAL FORECAST TO 2027
                       14.1.3.1 Market definition
                       14.1.3.2 Market overview
                                   14.1.3.2.1 Artificial Intelligence market, by offering
                                   14.1.3.2.2 Artificial Intelligence market, by deployment mode
                                   14.1.3.2.3 Artificial Intelligence market, by organization size
                                   14.1.3.2.4 Artificial Intelligence market, by technology
                                   14.1.3.2.5 Artificial Intelligence market, by industry vertical
                                   14.1.3.2.6 Artificial Intelligence market, by region
     14.2 DISCUSSION GUIDE
     14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’  SUBSCRIPTION PORTAL
     14.4 AVAILABLE CUSTOMIZATIONS
     14.5 RELATED REPORTS
     14.6 AUTHOR DETAILS

The research study for citizen services AI involved the use of extensive secondary sources, directories, and several journals, including Best Practices in Strategic Citizen Services; Journal of Citizen Services AI Research; A Brief History of Citizen Services AI - SAGE Journals; and publications, such as Adapting Warehouse Operations and Design to Omnichannel Logistics: A Literature Review and Research Agenda, Annals of Mathematics and Citizen Services AI. 0.778 Impact Factor 2019, and International Journal of Information Systems and Supply Chain Management (IJISSCM), to identify and collect information useful for this comprehensive market research study. Primary sources included industry experts from the core and related industries, preferred citizen services AI providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

The market size of companies offering citizen services AI solutions and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as Omni-channel Management in the New Retailing Era: A Systematic Review and Future Research Agenda, Journal/Forums for Machine Learning (ML), AI India, Customer Experience, and other magazines. The citizen services AI spending of various countries was extracted from respective sources. Secondary research was used to obtain key information about the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to the offerings of major players; industry trends related to solutions, services, deployment modes, applications, verticals, and regions; and key developments from both market and technology oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from citizen services AI solution vendors, system integrators, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped in understanding various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using citizen services AI solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of citizen services AI solutions and services, which would impact the overall citizen services AI market.

The following is the breakup of primary profiles:

Citizen Services AI Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

In the market engineering process, the top-down and bottom-up approaches were used along with multiple data triangulation methods to estimate and validate the size of the citizen services AI market and other dependent submarkets. Key market players were identified through secondary research, and their market share in the targeted regions was determined with the help of primary and secondary research. This research methodology included the study of annual and financial presentations of the top market players and interviews with experts for key insights (quantitative and qualitative).

The percentage share, splits, and breakdowns were determined using secondary sources and verified through primary research. All possible parameters that affect the citizen services AI market were verified in detail with the help of primary sources and analyzed to obtain quantitative and qualitative data. This data was supplemented with detailed inputs and analysis from MarketsandMarkets and presented in the report.

  • The pricing trend is assumed to vary over time.
  • All the forecasts were made with the standard assumption that the accepted currency is USD.
  • For the conversion of various currencies to USD, average historical exchange rates were used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service's website was used.
  • All the forecasts were made under the standard assumption that the globally accepted currency USD will remain constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services were factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors in the market.
  • Demand/end-user analysis: End users operating in verticals across regions were analyzed in terms of market spending on citizen services AI based on some of the key use cases. These factors for the citizen services AI industry per region were separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor was derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and predict the citizen services AI market by component (solution and services), technology, deployment mode, organization size, vertical, and region.
  • To provide detailed information about major factors (drivers, restraints, opportunities, and challenges) influencing the market growth
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders.
  • To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), the Middle East & Africa (MEA), and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the citizen services AI market.

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American citizen services AI market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Latin American market
  • Further breakup of the Middle Eastern and African market

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
Report Code
TC 7093
Published ON
Nov, 2022
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