Key Insights
The Citizen Services AI market is experiencing explosive growth, projected to reach $11.10 billion in 2025 and maintain a robust Compound Annual Growth Rate (CAGR) of 35.06% from 2025 to 2033. This expansion is driven by increasing government initiatives to improve citizen engagement and service delivery, coupled with advancements in AI technologies like machine learning, natural language processing, and computer vision. These technologies enable the automation of various citizen services, leading to increased efficiency, reduced costs, and improved citizen satisfaction. Specific applications like traffic management, powered by AI-driven predictive analytics and real-time data processing, are seeing significant adoption. Similarly, the healthcare sector leverages AI for streamlined appointment scheduling, faster diagnosis, and personalized treatment plans, resulting in improved healthcare outcomes and reduced wait times. Public safety benefits from AI-powered crime prediction and surveillance, while utilities companies use AI for optimizing resource allocation and predictive maintenance. The market is segmented by technology (Machine Learning, NLP, Image Processing, Face Recognition) and application (Traffic & Transportation, Healthcare, Public Safety, Utilities, Others), reflecting the diverse applications of AI in improving citizen services. Major players like Baidu, Accenture, IBM, Alibaba, Microsoft, and Tencent are heavily investing in this space, further fueling market growth.
The Asia-Pacific region is expected to dominate the Citizen Services AI market due to its large population and increasing government investments in digital infrastructure. North America and Europe are also key markets with mature technological landscapes and high adoption rates of AI-based solutions. However, challenges such as data privacy concerns, the need for robust cybersecurity measures, and the potential for algorithmic bias pose significant restraints to market growth. Addressing these concerns through transparent AI development practices and robust regulatory frameworks will be crucial for sustained market expansion. Continued innovation in AI technologies and expansion into new application areas will further drive market growth in the coming years. The market is poised for significant expansion, presenting substantial opportunities for technology providers and government entities alike.

Citizen Services AI Industry Market Report: 2019-2033
This comprehensive report provides a detailed analysis of the Citizen Services AI industry, encompassing market dynamics, growth trends, regional dominance, product landscape, and key players. With a focus on the parent market of Artificial Intelligence and the child market of Citizen Services, this report offers invaluable insights for industry professionals, investors, and strategists seeking to navigate this rapidly evolving landscape. The study period covers 2019-2033, with a base year of 2025 and a forecast period of 2025-2033.
Citizen Services AI Industry Market Dynamics & Structure
The Citizen Services AI market exhibits a moderately concentrated structure, with key players such as Baidu Inc, Accenture PLC, IBM Corporation, Alibaba Group Holding Limited, Microsoft Corporation, Tencent Holdings Ltd, Pegasystems Inc, ServiceNow Inc, Nvidia Corporation, and Intel Corporation vying for market share. Technological innovation, driven primarily by advancements in Machine Learning and Natural Language Processing, is a key growth driver. However, regulatory frameworks concerning data privacy and algorithmic bias pose significant challenges. The market also faces competition from traditional citizen service delivery methods.
- Market Concentration: Moderately concentrated, with the top 5 players holding approximately xx% of the market share in 2025.
- Technological Innovation: Rapid advancements in ML, NLP, and computer vision are pushing market growth.
- Regulatory Frameworks: Data privacy regulations (e.g., GDPR) and ethical considerations around AI implementation are key barriers.
- Competitive Substitutes: Traditional citizen service channels (e.g., phone calls, in-person visits) represent competition.
- End-User Demographics: Government agencies, municipalities, and public sector organizations are primary end-users.
- M&A Trends: The number of M&A deals in the sector reached xx in 2024, indicating increased consolidation.
Citizen Services AI Industry Growth Trends & Insights
The Citizen Services AI market is experiencing robust growth, driven by increasing government investments in digital transformation initiatives and the need for improved efficiency and citizen engagement. The market size reached $xx Million in 2024 and is projected to reach $xx Million by 2033, exhibiting a CAGR of xx% during the forecast period. This growth is fueled by rising adoption rates across various applications, particularly in traffic management and healthcare. Technological disruptions, such as the emergence of edge AI and explainable AI (XAI), are further accelerating market expansion. Consumer behavior shifts towards digital interaction and demand for personalized services also contribute significantly.

Dominant Regions, Countries, or Segments in Citizen Services AI Industry
North America currently dominates the Citizen Services AI market, driven by high technological advancements, substantial investments in AI infrastructure, and the early adoption of AI-powered solutions in the public sector. Within the technology segments, Machine Learning holds the largest market share, followed by Natural Language Processing. In terms of application, Traffic and Transportation Management and Healthcare show the most significant growth potential.
- Key Drivers:
- North America: High technological maturity, strong government investment in digital infrastructure, and favorable regulatory environment.
- Europe: Increasing adoption of AI-powered solutions in public services, driven by government initiatives.
- Asia-Pacific: Rapid urbanization and the need for efficient public service delivery are fostering market growth.
- Dominant Segments:
- By Technology: Machine Learning (Market share: xx%), Natural Language Processing (Market share: xx%)
- By Application: Traffic and Transportation Management (Market share: xx%), Healthcare (Market share: xx%)
Citizen Services AI Industry Product Landscape
The Citizen Services AI product landscape is characterized by diverse offerings, including AI-powered chatbots for citizen engagement, predictive analytics tools for resource optimization, and intelligent surveillance systems for public safety. These solutions offer unique selling propositions such as improved efficiency, enhanced citizen satisfaction, and data-driven decision-making. Technological advancements, such as the integration of IoT sensors and blockchain technology, are further enhancing product capabilities.
Key Drivers, Barriers & Challenges in Citizen Services AI Industry
Key Drivers: Increased government funding for digital transformation, the growing demand for improved public services, and advancements in AI technologies are major drivers. Data analytics capabilities allow better decision-making leading to streamlined operations and enhanced resource allocation.
Key Challenges: Data security concerns, the need for robust data infrastructure, and high implementation costs are major barriers. Integration challenges between legacy systems and new AI technologies represent significant hurdles. Ensuring algorithmic fairness and transparency is critical.
Emerging Opportunities in Citizen Services AI Industry
Untapped opportunities lie in expanding AI applications to areas such as environmental monitoring and disaster response. The development of AI-powered solutions tailored to specific citizen needs and preferences can significantly improve engagement. The emergence of federated learning and edge computing presents new opportunities for data privacy and efficiency.
Growth Accelerators in the Citizen Services AI Industry
Technological breakthroughs, strategic partnerships between tech companies and government agencies, and the expansion of AI adoption across different regions are key growth accelerators. The increasing availability of affordable and reliable AI technologies is also making these solutions more accessible to public sector organizations.
Key Players Shaping the Citizen Services AI Market
- Baidu Inc
- Accenture PLC
- IBM Corporation
- Alibaba Group Holding Limited
- Microsoft Corporation
- Tencent Holdings Ltd
- Pegasystems Inc
- ServiceNow Inc
- Nvidia Corporation
- Intel Corporation
Notable Milestones in Citizen Services AI Industry Sector
- 2020: Launch of AI-powered chatbot by City X for citizen inquiries.
- 2022: Partnership between Company Y and Government Z for smart city initiatives.
- 2023: Acquisition of Company A by Company B, expanding AI capabilities.
- 2024: Implementation of AI-driven traffic optimization system in City W.
In-Depth Citizen Services AI Industry Market Outlook
The Citizen Services AI market is poised for significant growth over the next decade, driven by ongoing technological advancements and increased government investments. Strategic partnerships and the development of innovative applications will further accelerate market expansion. The focus on data privacy and ethical considerations will also shape market evolution.
Citizen Services AI Industry Segmentation
-
1. Technology**
- 1.1. Machine Learning
- 1.2. Natural Language Processing
- 1.3. Image Processing
- 1.4. Face Recognition
-
2. Application
- 2.1. Traffic and Transportation Management
- 2.2. Healthcare
- 2.3. Public Safety
- 2.4. Utilities
- 2.5. Other Applications
Citizen Services AI Industry Segmentation By Geography
- 1. North America
- 2. Europe
- 3. Asia Pacific
- 4. Rest of the World

Citizen Services AI Industry REPORT HIGHLIGHTS
Aspects | Details |
---|---|
Study Period | 2019-2033 |
Base Year | 2024 |
Estimated Year | 2025 |
Forecast Period | 2025-2033 |
Historical Period | 2019-2024 |
Growth Rate | CAGR of 35.06% from 2019-2033 |
Segmentation |
|
Table of Contents
- 1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
- 2. Executive Summary
- 2.1. Introduction
- 3. Market Dynamics
- 3.1. Introduction
- 3.2. Market Drivers
- 3.2.1. ; Increasing Demand for IT Modernization and Automation; Integration of AI and Analytics With Citizen Services
- 3.3. Market Restrains
- 3.3.1. ; Lack of Awareness Among Government Organizations About New Technologies
- 3.4. Market Trends
- 3.4.1. Adoption of Cloud-based AI for Citizen Service to Expected to Drive the Market
- 4. Market Factor Analysis
- 4.1. Porters Five Forces
- 4.2. Supply/Value Chain
- 4.3. PESTEL analysis
- 4.4. Market Entropy
- 4.5. Patent/Trademark Analysis
- 5. Global Citizen Services AI Industry Analysis, Insights and Forecast, 2019-2031
- 5.1. Market Analysis, Insights and Forecast - by Technology**
- 5.1.1. Machine Learning
- 5.1.2. Natural Language Processing
- 5.1.3. Image Processing
- 5.1.4. Face Recognition
- 5.2. Market Analysis, Insights and Forecast - by Application
- 5.2.1. Traffic and Transportation Management
- 5.2.2. Healthcare
- 5.2.3. Public Safety
- 5.2.4. Utilities
- 5.2.5. Other Applications
- 5.3. Market Analysis, Insights and Forecast - by Region
- 5.3.1. North America
- 5.3.2. Europe
- 5.3.3. Asia Pacific
- 5.3.4. Rest of the World
- 5.1. Market Analysis, Insights and Forecast - by Technology**
- 6. North America Citizen Services AI Industry Analysis, Insights and Forecast, 2019-2031
- 6.1. Market Analysis, Insights and Forecast - by Technology**
- 6.1.1. Machine Learning
- 6.1.2. Natural Language Processing
- 6.1.3. Image Processing
- 6.1.4. Face Recognition
- 6.2. Market Analysis, Insights and Forecast - by Application
- 6.2.1. Traffic and Transportation Management
- 6.2.2. Healthcare
- 6.2.3. Public Safety
- 6.2.4. Utilities
- 6.2.5. Other Applications
- 6.1. Market Analysis, Insights and Forecast - by Technology**
- 7. Europe Citizen Services AI Industry Analysis, Insights and Forecast, 2019-2031
- 7.1. Market Analysis, Insights and Forecast - by Technology**
- 7.1.1. Machine Learning
- 7.1.2. Natural Language Processing
- 7.1.3. Image Processing
- 7.1.4. Face Recognition
- 7.2. Market Analysis, Insights and Forecast - by Application
- 7.2.1. Traffic and Transportation Management
- 7.2.2. Healthcare
- 7.2.3. Public Safety
- 7.2.4. Utilities
- 7.2.5. Other Applications
- 7.1. Market Analysis, Insights and Forecast - by Technology**
- 8. Asia Pacific Citizen Services AI Industry Analysis, Insights and Forecast, 2019-2031
- 8.1. Market Analysis, Insights and Forecast - by Technology**
- 8.1.1. Machine Learning
- 8.1.2. Natural Language Processing
- 8.1.3. Image Processing
- 8.1.4. Face Recognition
- 8.2. Market Analysis, Insights and Forecast - by Application
- 8.2.1. Traffic and Transportation Management
- 8.2.2. Healthcare
- 8.2.3. Public Safety
- 8.2.4. Utilities
- 8.2.5. Other Applications
- 8.1. Market Analysis, Insights and Forecast - by Technology**
- 9. Rest of the World Citizen Services AI Industry Analysis, Insights and Forecast, 2019-2031
- 9.1. Market Analysis, Insights and Forecast - by Technology**
- 9.1.1. Machine Learning
- 9.1.2. Natural Language Processing
- 9.1.3. Image Processing
- 9.1.4. Face Recognition
- 9.2. Market Analysis, Insights and Forecast - by Application
- 9.2.1. Traffic and Transportation Management
- 9.2.2. Healthcare
- 9.2.3. Public Safety
- 9.2.4. Utilities
- 9.2.5. Other Applications
- 9.1. Market Analysis, Insights and Forecast - by Technology**
- 10. North America Citizen Services AI Industry Analysis, Insights and Forecast, 2019-2031
- 10.1. Market Analysis, Insights and Forecast - By Country/Sub-region
- 10.1.1.
- 11. Europe Citizen Services AI Industry Analysis, Insights and Forecast, 2019-2031
- 11.1. Market Analysis, Insights and Forecast - By Country/Sub-region
- 11.1.1.
- 12. Asia Pacific Citizen Services AI Industry Analysis, Insights and Forecast, 2019-2031
- 12.1. Market Analysis, Insights and Forecast - By Country/Sub-region
- 12.1.1.
- 13. Rest of the World Citizen Services AI Industry Analysis, Insights and Forecast, 2019-2031
- 13.1. Market Analysis, Insights and Forecast - By Country/Sub-region
- 13.1.1.
- 14. Competitive Analysis
- 14.1. Global Market Share Analysis 2024
- 14.2. Company Profiles
- 14.2.1 Baidu Inc
- 14.2.1.1. Overview
- 14.2.1.2. Products
- 14.2.1.3. SWOT Analysis
- 14.2.1.4. Recent Developments
- 14.2.1.5. Financials (Based on Availability)
- 14.2.2 Accenture PLC
- 14.2.2.1. Overview
- 14.2.2.2. Products
- 14.2.2.3. SWOT Analysis
- 14.2.2.4. Recent Developments
- 14.2.2.5. Financials (Based on Availability)
- 14.2.3 IBM Corporation
- 14.2.3.1. Overview
- 14.2.3.2. Products
- 14.2.3.3. SWOT Analysis
- 14.2.3.4. Recent Developments
- 14.2.3.5. Financials (Based on Availability)
- 14.2.4 Alibaba Group Holding Limited
- 14.2.4.1. Overview
- 14.2.4.2. Products
- 14.2.4.3. SWOT Analysis
- 14.2.4.4. Recent Developments
- 14.2.4.5. Financials (Based on Availability)
- 14.2.5 Microsoft Corporation
- 14.2.5.1. Overview
- 14.2.5.2. Products
- 14.2.5.3. SWOT Analysis
- 14.2.5.4. Recent Developments
- 14.2.5.5. Financials (Based on Availability)
- 14.2.6 Tencent Holdings Ltd
- 14.2.6.1. Overview
- 14.2.6.2. Products
- 14.2.6.3. SWOT Analysis
- 14.2.6.4. Recent Developments
- 14.2.6.5. Financials (Based on Availability)
- 14.2.7 Pegasystems Inc
- 14.2.7.1. Overview
- 14.2.7.2. Products
- 14.2.7.3. SWOT Analysis
- 14.2.7.4. Recent Developments
- 14.2.7.5. Financials (Based on Availability)
- 14.2.8 ServiceNow Inc
- 14.2.8.1. Overview
- 14.2.8.2. Products
- 14.2.8.3. SWOT Analysis
- 14.2.8.4. Recent Developments
- 14.2.8.5. Financials (Based on Availability)
- 14.2.9 Nvidia Corporation
- 14.2.9.1. Overview
- 14.2.9.2. Products
- 14.2.9.3. SWOT Analysis
- 14.2.9.4. Recent Developments
- 14.2.9.5. Financials (Based on Availability)
- 14.2.10 Intel Corporation
- 14.2.10.1. Overview
- 14.2.10.2. Products
- 14.2.10.3. SWOT Analysis
- 14.2.10.4. Recent Developments
- 14.2.10.5. Financials (Based on Availability)
- 14.2.1 Baidu Inc
List of Figures
- Figure 1: Global Citizen Services AI Industry Revenue Breakdown (Million, %) by Region 2024 & 2032
- Figure 2: North America Citizen Services AI Industry Revenue (Million), by Country 2024 & 2032
- Figure 3: North America Citizen Services AI Industry Revenue Share (%), by Country 2024 & 2032
- Figure 4: Europe Citizen Services AI Industry Revenue (Million), by Country 2024 & 2032
- Figure 5: Europe Citizen Services AI Industry Revenue Share (%), by Country 2024 & 2032
- Figure 6: Asia Pacific Citizen Services AI Industry Revenue (Million), by Country 2024 & 2032
- Figure 7: Asia Pacific Citizen Services AI Industry Revenue Share (%), by Country 2024 & 2032
- Figure 8: Rest of the World Citizen Services AI Industry Revenue (Million), by Country 2024 & 2032
- Figure 9: Rest of the World Citizen Services AI Industry Revenue Share (%), by Country 2024 & 2032
- Figure 10: North America Citizen Services AI Industry Revenue (Million), by Technology** 2024 & 2032
- Figure 11: North America Citizen Services AI Industry Revenue Share (%), by Technology** 2024 & 2032
- Figure 12: North America Citizen Services AI Industry Revenue (Million), by Application 2024 & 2032
- Figure 13: North America Citizen Services AI Industry Revenue Share (%), by Application 2024 & 2032
- Figure 14: North America Citizen Services AI Industry Revenue (Million), by Country 2024 & 2032
- Figure 15: North America Citizen Services AI Industry Revenue Share (%), by Country 2024 & 2032
- Figure 16: Europe Citizen Services AI Industry Revenue (Million), by Technology** 2024 & 2032
- Figure 17: Europe Citizen Services AI Industry Revenue Share (%), by Technology** 2024 & 2032
- Figure 18: Europe Citizen Services AI Industry Revenue (Million), by Application 2024 & 2032
- Figure 19: Europe Citizen Services AI Industry Revenue Share (%), by Application 2024 & 2032
- Figure 20: Europe Citizen Services AI Industry Revenue (Million), by Country 2024 & 2032
- Figure 21: Europe Citizen Services AI Industry Revenue Share (%), by Country 2024 & 2032
- Figure 22: Asia Pacific Citizen Services AI Industry Revenue (Million), by Technology** 2024 & 2032
- Figure 23: Asia Pacific Citizen Services AI Industry Revenue Share (%), by Technology** 2024 & 2032
- Figure 24: Asia Pacific Citizen Services AI Industry Revenue (Million), by Application 2024 & 2032
- Figure 25: Asia Pacific Citizen Services AI Industry Revenue Share (%), by Application 2024 & 2032
- Figure 26: Asia Pacific Citizen Services AI Industry Revenue (Million), by Country 2024 & 2032
- Figure 27: Asia Pacific Citizen Services AI Industry Revenue Share (%), by Country 2024 & 2032
- Figure 28: Rest of the World Citizen Services AI Industry Revenue (Million), by Technology** 2024 & 2032
- Figure 29: Rest of the World Citizen Services AI Industry Revenue Share (%), by Technology** 2024 & 2032
- Figure 30: Rest of the World Citizen Services AI Industry Revenue (Million), by Application 2024 & 2032
- Figure 31: Rest of the World Citizen Services AI Industry Revenue Share (%), by Application 2024 & 2032
- Figure 32: Rest of the World Citizen Services AI Industry Revenue (Million), by Country 2024 & 2032
- Figure 33: Rest of the World Citizen Services AI Industry Revenue Share (%), by Country 2024 & 2032
List of Tables
- Table 1: Global Citizen Services AI Industry Revenue Million Forecast, by Region 2019 & 2032
- Table 2: Global Citizen Services AI Industry Revenue Million Forecast, by Technology** 2019 & 2032
- Table 3: Global Citizen Services AI Industry Revenue Million Forecast, by Application 2019 & 2032
- Table 4: Global Citizen Services AI Industry Revenue Million Forecast, by Region 2019 & 2032
- Table 5: Global Citizen Services AI Industry Revenue Million Forecast, by Country 2019 & 2032
- Table 6: Citizen Services AI Industry Revenue (Million) Forecast, by Application 2019 & 2032
- Table 7: Global Citizen Services AI Industry Revenue Million Forecast, by Country 2019 & 2032
- Table 8: Citizen Services AI Industry Revenue (Million) Forecast, by Application 2019 & 2032
- Table 9: Global Citizen Services AI Industry Revenue Million Forecast, by Country 2019 & 2032
- Table 10: Citizen Services AI Industry Revenue (Million) Forecast, by Application 2019 & 2032
- Table 11: Global Citizen Services AI Industry Revenue Million Forecast, by Country 2019 & 2032
- Table 12: Citizen Services AI Industry Revenue (Million) Forecast, by Application 2019 & 2032
- Table 13: Global Citizen Services AI Industry Revenue Million Forecast, by Technology** 2019 & 2032
- Table 14: Global Citizen Services AI Industry Revenue Million Forecast, by Application 2019 & 2032
- Table 15: Global Citizen Services AI Industry Revenue Million Forecast, by Country 2019 & 2032
- Table 16: Global Citizen Services AI Industry Revenue Million Forecast, by Technology** 2019 & 2032
- Table 17: Global Citizen Services AI Industry Revenue Million Forecast, by Application 2019 & 2032
- Table 18: Global Citizen Services AI Industry Revenue Million Forecast, by Country 2019 & 2032
- Table 19: Global Citizen Services AI Industry Revenue Million Forecast, by Technology** 2019 & 2032
- Table 20: Global Citizen Services AI Industry Revenue Million Forecast, by Application 2019 & 2032
- Table 21: Global Citizen Services AI Industry Revenue Million Forecast, by Country 2019 & 2032
- Table 22: Global Citizen Services AI Industry Revenue Million Forecast, by Technology** 2019 & 2032
- Table 23: Global Citizen Services AI Industry Revenue Million Forecast, by Application 2019 & 2032
- Table 24: Global Citizen Services AI Industry Revenue Million Forecast, by Country 2019 & 2032
Frequently Asked Questions
1. What is the projected Compound Annual Growth Rate (CAGR) of the Citizen Services AI Industry?
The projected CAGR is approximately 35.06%.
2. Which companies are prominent players in the Citizen Services AI Industry?
Key companies in the market include Baidu Inc, Accenture PLC, IBM Corporation, Alibaba Group Holding Limited, Microsoft Corporation, Tencent Holdings Ltd, Pegasystems Inc, ServiceNow Inc, Nvidia Corporation, Intel Corporation.
3. What are the main segments of the Citizen Services AI Industry?
The market segments include Technology**, Application.
4. Can you provide details about the market size?
The market size is estimated to be USD 11.10 Million as of 2022.
5. What are some drivers contributing to market growth?
; Increasing Demand for IT Modernization and Automation; Integration of AI and Analytics With Citizen Services.
6. What are the notable trends driving market growth?
Adoption of Cloud-based AI for Citizen Service to Expected to Drive the Market.
7. Are there any restraints impacting market growth?
; Lack of Awareness Among Government Organizations About New Technologies.
8. Can you provide examples of recent developments in the market?
N/A
9. What pricing options are available for accessing the report?
Pricing options include single-user, multi-user, and enterprise licenses priced at USD 4750, USD 5250, and USD 8750 respectively.
10. Is the market size provided in terms of value or volume?
The market size is provided in terms of value, measured in Million.
11. Are there any specific market keywords associated with the report?
Yes, the market keyword associated with the report is "Citizen Services AI Industry," which aids in identifying and referencing the specific market segment covered.
12. How do I determine which pricing option suits my needs best?
The pricing options vary based on user requirements and access needs. Individual users may opt for single-user licenses, while businesses requiring broader access may choose multi-user or enterprise licenses for cost-effective access to the report.
13. Are there any additional resources or data provided in the Citizen Services AI Industry report?
While the report offers comprehensive insights, it's advisable to review the specific contents or supplementary materials provided to ascertain if additional resources or data are available.
14. How can I stay updated on further developments or reports in the Citizen Services AI Industry?
To stay informed about further developments, trends, and reports in the Citizen Services AI Industry, consider subscribing to industry newsletters, following relevant companies and organizations, or regularly checking reputable industry news sources and publications.
Methodology
Step 1 - Identification of Relevant Samples Size from Population Database



Step 2 - Approaches for Defining Global Market Size (Value, Volume* & Price*)

Note*: In applicable scenarios
Step 3 - Data Sources
Primary Research
- Web Analytics
- Survey Reports
- Research Institute
- Latest Research Reports
- Opinion Leaders
Secondary Research
- Annual Reports
- White Paper
- Latest Press Release
- Industry Association
- Paid Database
- Investor Presentations

Step 4 - Data Triangulation
Involves using different sources of information in order to increase the validity of a study
These sources are likely to be stakeholders in a program - participants, other researchers, program staff, other community members, and so on.
Then we put all data in single framework & apply various statistical tools to find out the dynamic on the market.
During the analysis stage, feedback from the stakeholder groups would be compared to determine areas of agreement as well as areas of divergence