Citizen Services AI Market by Application (Traffic and Transportation Management, Healthcare, Public Safety, Utilities, and General Services), Technology (ML, NLP, Image Processing, and Face Recognition), and Region - Global Forecast to 2024
[91 Pages Report] The global citizen services AI market size is expected to grow from USD 1.5 billion in 2019 to USD 9.7 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 46.3% during the forecast period. Increased automation and agility, the need for IT modernization in government departments, automation of manual processes to ease pressure and enhance citizen experience, and increased cost savings are the major growth factors for the market. However, citizen data being prone to cyber-attacks and lack of awareness among government agencies about new technologies may restrain the growth of the market.
By technology, the face recognition segment to be a larger contributor to the citizen services AI market growth during the forecast period
The face recognition technology has presented huge transformation capabilities in the security and surveillance domain. Face recognition solutions are being deployed to track attendance; control access to restricted areas; monitor and survey systems; identify crime suspects; detect emotions; understand customer behaviors; build strong security systems; and analyze gender, age, and identification and verification at airports, cafes, restaurants, hotels, and stadiums.
Integration of AI with analytics tools drive the citizen services AI market
Government bodies deal with massive amounts of data that have been traditionally stored on paper and handled manually. Although the emergence and growth of digitalization have made government processes more efficient, there is still much left to be done regarding data management and service delivery speed. Improving the data management capabilities of governing bodies requires more intelligent processing, which might require hiring more people. The alternative to this is using AI and analytics in the public sector units to enable faster and more accurate data gathering and processing.
Asia Pacific (APAC) to grow at the highest CAGR during the forecast period
APAC is expected to offer significant growth opportunities for citizen services AI vendors during the forecast period. Rapid advancements in emerging technologies, IT infrastructure services, and the Internet of Things (IoT) have led many organizations to adopt citizen services AI services. Governments, especially those in emerging economies, are undertaking massive technology transformation programs (in digital citizen identity, banking, transportation and social welfare) to increase the penetration of public initiatives across multiple bodies.
Key Citizen Services AI Market Players
Major vendors in the citizen services AI market include AWS (US), Microsoft (US), Accenture (US), Alibaba (China), IBM (US), NVIDIA (US), Intel (US), Tencent (China), Pegasystems (US), Baidu (China), and ADDO AI (Singapore).
Alibaba (China) is the world’s leading provider of public cloud services. The company caters to government agencies with an end-to-end solution with ML platform for AI services. The platform delivers a visualized web interface, and powerful computing capabilities; it relies on Alibaba Cloud distributed computing clusters to meet the demands of its customers and increase its growth. It offers ML platform for data mining and analysis requirement. The platform delivers numerous AI services, such as data processing, feature engineering, model training, model prediction, and model evaluation.
Scope of the Report
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Report Metric |
Details |
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Market size available for years |
2017–2024 |
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Base year considered |
2018 |
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Forecast period |
2019–2024 |
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Forecast unit |
Value (USD) |
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Segments covered |
Application, Technology, and Region |
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Geographies covered |
North America, Europe, Asia Pacific (APAC), Latin America, and Middle East and Africa (MEA) |
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Companies covered |
AWS (US), Microsoft (US), Accenture (US), Alibaba (China), IBM (US), NVIDIA (US), Intel (US), Tencent (China), Pegasystems (US), Baidu (China), and ADDO AI (Singapore). |
The research report categorizes the citizen services AI market to forecast the revenues and analyze the trends in each of the following subsegments:
By Application
- Traffic and Transportation Management
- Healthcare
- Public Safety
- Utilities
- General Services
By Technology
- Machine Learning
- Natural Language Processing
- Image Processing
- Face Recognition
By Region
- North America
- US
- Canada
- Europe
- UK
- Germany
- Rest of Europe
- APAC
- China
- Japan
- Singapore
- Rest of APAC
- MEA
- Kingdom of Saudi Arabia (KSA)
- United Arab Emirates (UAE)
- Rest of MEA
- Latin America
- Brazil
- Rest of Latin America
Recent Developments
- In January 2019, Alibaba partnered with Macao Government Tourism Office (MGTO) to implement AI for tourism, smart cities, and flu prediction. The MGTO will use Alibaba AI to test 2 similar systems, namely, Chatbot and Singou Butler 1 to answer visitors’ questions and solicitations.
- Where will all these developments take the industry in the mid to long-term?
- What are the upcoming industry applications for the citizen services AI market?
- Which segment provides the most opportunity for growth?
- Which are the leading vendors operating in this market?
- What are the opportunities for new market entrants?
- Need for IT Modernization
- Integration of AI and Analytics With Citizen Services
- Growing Demand for Automation
- Increasing Demand for Citizen Services AI
- Advent of New Technologies
Critical questions the report answers:
Frequently Asked Questions (FAQ):
What is Citizen AI?
What are the top companies providing Citizen AI?
What are various trends in Citizen AI market?
The below are current market trends impacting Citizen AI
Drivers:
Opportunities:
What are the top applications adopting Citizen AI market?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
Table of Contents
1 Introduction (Page No. - 12)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Market Segmentation
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders
2 Research Methodology (Page No. - 15)
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 Assumptions for the Study
2.5 Limitations of the Study
3 Executive Summary (Page No. - 20)
4 Premium Insights (Page No. - 23)
4.1 Attractive Growth Opportunities in the Citizen Services AI Market
4.2 Market By Application, 2019 and 2024
4.3 Market By Technology, 2019 and 2024
4.4 Market Investment Scenario
5 Market Overview and Industry Trends (Page No. - 25)
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
5.2.2 Restraints
5.2.2.1 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
5.2.4 Challenges
5.2.4.1 Integration Issues With Organizations’ Internal Processes
5.2.4.2 Lack of Expertise and Infrastructure Among End Users
6 Citizen Services AI Market By Application (Page No. - 29)
6.1 Introduction
6.2 Traffic and Transportation Management
6.2.1 AI Based Traffic and Transportation Management Increasingly Being Adopted By Government to Tackle Traffic Congestion Problems
6.3 Healthcare
6.3.1 Use of Pattern Recognition to Identify Patients at Risk of Developing A Condition is Another Area Where AI is Taking Grasp in Healthcare
6.4 Public Safety
6.4.1 AI has Become New Ally in Preventing and Detecting Crime for Public Safety Agencies By Predicting Outcomes Using Incoming Data
6.5 Utilities
6.5.1 Demand for AI-Based Utility Services Being Driven By Increasing Need of Effective and Optimum Utilization of City Infrastructure
6.6 General Services
6.6.1 Use of AI-Based General Public Services Being Driven By Reduced Cost of Administration and Rapid Access to Required Information
7 Citizen Services AI Market By Technology (Page No. - 36)
7.1 Introduction
7.2 Machine Learning
7.2.1 Use of Machine Learning for Making Predictions and Informed Decisions to Drive Its Growth
7.3 Natural Language Processing
7.3.1 Natural Language Processing Technology Gaining Importance for Its Help in Understanding Human Inputs and Suggesting and Predicting Outcomes
7.4 Image Processing
7.4.1 Growing Demand for Image Recognition Applications to Identify People, Places, and Objects
7.5 Face Recognition
7.5.1 the Technology has Gained Traction Due to Its Applications in Field of Crime Detection and Identity Detection
8 Citizen Services AI Market By Region (Page No. - 42)
8.1 Introduction
8.2 North America
8.2.1 United States
8.2.1.1 Growing Demand for AI Citizen Services Solutions for Enhanced Support and Recommendation to Government Organizations
8.2.2 Canada
8.2.2.1 Abundant Opportunities for Technological Advancement to Increase the Adoption of Citizen Services AI Solutions and Services in Canada
8.3 Europe
8.3.1 United Kingdom
8.3.1.1 Increasing Investments By Government Organizations to Drive the Adoption of Citizen Services AI Solutions in the UK
8.3.2 Germany
8.3.2.1 Focus of Smaller Government Departments to Provide Enhanced Citizen Services Experience to Drive the Adoption of Citizen Services AI Solutions in Germany
8.3.3 Rest of Europe
8.4 Asia Pacific
8.4.1 China
8.4.1.1 Digital Transformation Initiatives in the Government Organizations to Drive the Citizen Services AI Market in China
8.4.2 Japan
8.4.2.1 Growing Need to Efficiently Analyze Huge Amounts of Citizen Information Driving the Adoption of Citizen Services AI Solutions in Japan
8.4.3 Singapore
8.4.3.1 Rising Focus on Citizen Services With the Required Skillset to Drive the Adoption of Citizen Services AI Solutions in Singapore
8.4.4 Rest of Asia Pacific
8.5 Middle East and Africa
8.5.1 Kingdom of Saudi Arabia
8.5.1.1 Increasing Number of Government Organizations Offering Their Citizen-Based Services Via Mobile and Web Applications in the KSA
8.5.2 United Arab Emirates
8.5.2.1 Growing Investment By the UAE Government in Applied AI Experiments for Delivering Public Services
8.5.3 Rest of Middle East and Africa
8.6 Latin America
8.6.1 Brazil
8.6.1.1 Huge Investments Into Government Sector to Promote Enhanced Citizen Services to Drive the Adoption of Citizen Services AI Solutions in Brazil
8.6.2 Rest of Latin America
9 Competitive Landscape (Page No. - 60)
9.1 Overview
9.2 Competitive Scenario
9.2.1 New Product Launches
9.2.2 Partnerships
10 Company Profiles (Page No. - 62)
(Business Overview, Products Offered, Recent Developments, MnM View, SWOT Analysis)*
10.1 Servicenow
10.2 Microsoft
10.3 IBM
10.4 Accenture
10.5 AWS
10.6 NVIDIA
10.7 Intel
10.8 Alibaba
10.9 Tencent
10.10 Pegasystems
10.11 ADDO
10.12 Baidu
*Business Overview, Products Offered, Recent Developments, MnM View, SWOT Analysis Might Not Be Captured in Case of Unlisted Companies.
11 Appendix (Page No. - 86)
11.1 Discussion Guide
11.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
11.3 Available Customizations
11.4 Related Reports
11.5 Author Details
List of Tables (30 Tables)
Table 1 United States Dollar Exchange Rate, 2015–2017
Table 2 Citizen Services AI Market Size, By Application, 2017–2024 (USD Million)
Table 3 Traffic and Transportation Management: Market Size By Region, 2017–2024 (USD Million)
Table 4 Healthcare: Market Size By Region, 2017–2024 (USD Million)
Table 5 Public Safety: Market Size By Region, 2017–2024 (USD Million)
Table 6 Utilities: Market Size By Region, 2017–2024 (USD Million)
Table 7 General Services: Market Size By Region, 2017–2024 (USD Million)
Table 8 Citizen Services AI Market Size, By Technology, 2017–2024 (USD Million)
Table 9 Machine Learning: Market Size By Region, 2017–2024 (USD Million)
Table 10 Natural Language Processing: Market Size By Region, 2017–2024 (USD Million)
Table 11 Image Processing: Market Size By Region, 2017–2024 (USD Million)
Table 12 Face Recognition: Market Size By Region, 2017–2024 (USD Million)
Table 13 Citizen Services AI Market Size, By Region, 2017–2024 (USD Million)
Table 14 North America: Market Size By Application, 2017–2024 (USD Million)
Table 15 North America: Market Size By Technology, 2017–2024 (USD Million)
Table 16 North America: Market Size By Country, 2017–2024 (USD Million)
Table 17 Europe: Citizen Services AI Market Size, By Application, 2017–2024 (USD Million)
Table 18 Europe: Market Size By Technology, 2017–2024 (USD Million)
Table 19 Europe: Market Size By Country, 2017–2024 (USD Million)
Table 20 Asia Pacific: Citizen Services AI Market Size, By Application, 2017–2024 (USD Million)
Table 21 Asia Pacific: Market Size By Technology, 2017–2024 (USD Million)
Table 22 Asia Pacific: Market Size By Country, 2017–2024 (USD Million)
Table 23 Middle East and Africa: Citizen Services AI Market Size, By Application, 2017–2024 (USD Million)
Table 24 Middle East and Africa: Market Size By Technology, 2017–2024 (USD Million)
Table 25 Middle East and Africa: Market Size By Country, 2017–2024 (USD Million)
Table 26 Latin America: Citizen Services AI Market Size, By Application, 2017–2024 (USD Million)
Table 27 Latin America: Market Size By Technology, 2017–2024 (USD Million)
Table 28 Latin America: Market Size By Country, 2017–2024 (USD Million)
Table 29 New Product Launches, 2016-2018
Table 30 Partnerships, 2018–2019
List of Figures (30 Figures)
Figure 1 Citizen Services AI Market: Research Design
Figure 2 Market Bottom-Up and Top-Down Approaches
Figure 3 Global Market Size 2017–2024 (USD Million)
Figure 4 Segments With the Highest CAGR in the Citizen Services AI Market
Figure 5 North America to Account for the Highest Market Share in 2019
Figure 6 Increasing Demand for AI and Analytics Driving the Growth of Citizen Services AI Market
Figure 7 Traffic and Transportation Management to Have the Highest Market Share in 2019
Figure 8 Face Recognition to Hold the Highest Market Share in 2019
Figure 9 Asia Pacific to Emerge as the Best Market for Investment During the Forecast Period
Figure 10 Drivers, Restraints, Opportunities, and Challenges: Citizen Services AI Market
Figure 11 Healthcare Segment to Grow at the Highest Rate During the Forecast Period
Figure 12 Machine Learning Segment to Grow at the Highest Rate During the Forecast Period
Figure 13 Asia Pacific to Grow at the Highest Rate During the Forecast Period
Figure 14 North America: Market Snapshot
Figure 15 Asia Pacific: Market Snapshot
Figure 16 Servicenow: Company Snapshot
Figure 17 Servicenow: SWOT Analysis
Figure 18 Microsoft: Company Snapshot
Figure 19 Microsoft: SWOT Analysis
Figure 20 IBM: Company Snapshot
Figure 21 IBM: SWOT Analysis
Figure 22 Accenture: Company Snapshot
Figure 23 Accenture: SWOT Analysis
Figure 24 AWS: Company Snapshot
Figure 25 AWS: SWOT Analysis
Figure 26 NVIDIA: Company Snapshot
Figure 27 Intel: Company Snapshot
Figure 28 Alibaba: Company Snapshot
Figure 29 Tencent: Company Snapshot
Figure 30 Pegasystems: Company Snapshot
The study involved 4 major activities to estimate the current market size of citizen services AI services. Exhaustive secondary research was done to collect information on the market, the peer market, and the parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments.
Secondary Research
In the secondary research process, various secondary sources were referred to for identifying and collecting information for this study. The secondary sources included annual reports, press releases, and investor presentations of companies; whitepapers; certified publications; and articles from recognized associations, such as data center knowledge and government publishing sources. Secondary sources such as Factiva and D&B Hoovers were also considered for this study. Secondary research was mainly used to obtain key information about the industry’s value chain, the total pool of key players, market classification and segmentation as per the industry trends to the bottom-most level, regional markets, 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 for this report. Primary sources from the supply-side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations providing citizen services AI services. The primary sources from the demand side included the end-users of citizen services AI services, which included Chief Information Officers (CIOs), IT technicians and technologists, and IT managers at public and investor-owned utilities.
The following figure depicts the breakup of the primary profiles:
To know about the assumptions considered for the study, download the pdf brochure
Citizen Services AI Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the citizen services AI market. They were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:
- The key players in the industry and markets have been identified through extensive secondary research.
- The industry’s supply chain and market size, in terms of value, have been determined through primary and secondary research processes.
- All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
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, the data triangulation and market breakup procedures were employed, wherever applicable. The data was triangulated by studying several factors and trends from both, the demand and supply sides, in the citizen services AI market.
Report Objectives
- To define, segment, and project the global market size of the citizen services AI market
- To understand the structure of the citizen services AI market by identifying its various subsegments
- To provide detailed information about the key factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the growth of the market
- To analyze the micromarkets with respect to individual growth trends, prospects, and their contribution to the total market
- To project the size of the market and its submarkets, in terms of value, with respect to the 5 major regions (along with their respective key countries)
- To profile key players and comprehensively analyze their core competencies
- To understand the competitive landscape and identify major growth strategies adopted by players across key regions
- To analyze the competitive developments, such as expansions and investments, new product launches, mergers and acquisitions, joint ventures, and agreements, in the citizen services AI market
Available Customizations
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