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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

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    Report

  • 92 Pages
  • November 2022
  • Region: Global
  • Markets and Markets
  • ID: 4770718

The global citizen services AI market is projected to grow from USD 6.5 Billion in 2022 to USD 41.0 Billion by 2027, at a CAGR of 44.5% during the forecast period. Governments across the globe had begun to adopt cutting-edge technologies, such as artificial intelligence (AI) and machine learning (ML), to hasten the delivery of a number of citizen services. The concept is to actively bring those services to citizens, rather than waiting for citizens to request government services.

The use of Al in the public sector can improve governing bodies' day-to-day operations as well as facilitate efficient long-term planning that will help the government take on more challenging and long-term social and cultural challenges.

The major market players, such as IBM, Microsoft, ServiceNow, AWS, and Accenture, have adopted numerous growth strategies, which include acquisitions, new product launches, product enhancements, and business expansions, to enhance their market shares.

By deployment mode, the cloud segment to lead the market during the forecast period.

The cloud-based citizen services AI deployment mode is an economical and effective approach for enterprises to handle big data concerns. There is also a shift from traditional on-premises voice biometrics solutions to cloud-based AI solutions across large enterprises and SMEs, due to the increasing number of cloud-based applications. The cloud deployment mode is projected to grow from USD 2,724 million in 2022 to USD 16,357 million by 2027.

By component, the services segment registered a higher CAGR than the solution segment during the forecast period.

Due to the growing need for businesses and governmental organizations to improve their operational efficiency in order to provide citizens with better service, the entire services market is expanding significantly. The services segment allows businesses to monitor, assess, and analyze the need of citizens. By component, the services segment is projected to register a higher CAGR of 46.9% during the forecast period. 

Asia Pacific market to register the highest CAGR during the forecast period.

The citizen services AI market is projected to register the highest CAGR of 49.3% in the Asia Pacific region during the forecast period. Many government organizations have shifted their focus toward delivering improved citizen services as a result of the rapid improvements in cloud computing and IoT. Organizations are quickly implementing citizen services AI products and services with an intent to increase operational efficiency and business agility. To boost the penetration of public initiatives across various bodies, governments, particularly those in emerging economies, are making huge technology transformation efforts. 

Breakdown of Primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the citizen services AI market. 

  • By Company: Tier I: 34%, Tier II: 43%, and Tier III: 23%
  • By Designation: C-Level Executives: 50%, D-Level Executives: 30%, and Managers: 20%
  • By Region: Asia Pacific: 30%, Europe: 30%, North America: 25%, Middle East & Africa: 10%, Latin America: 5%

The report includes the study of key players offering citizen services AI. It profiles major vendors in the citizen services AI market. The major players in this 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).

Research Coverage

This study covers the citizen services AI market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as component, application, organization size, deployment mode, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies. 

Key Benefits of Buying the Report 

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall citizen services AI market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

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 Analyst's 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 Analyst's 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 Analyst's 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 Analyst's 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 Analyst's 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
14.2 Discussion Guide
14.3 Knowledge Store: Subscription Portal
14.4 Available Customizations

Companies Mentioned

  • Accenture
  • Addo
  • Alfresco
  • Alibaba
  • Automation Anywhere
  • AWS
  • Baidu
  • Cardinality.AI
  • H2O.AI
  • IBM
  • Intel
  • Karexpert
  • Liveroad Analytics
  • Microsoft
  • Mindtitan
  • Nauto
  • Nvidia
  • Opentext
  • Pegasystem
  • Servicenow
  • Tencent
  • Vebits AI
  • Voyager Labs
  • Waymo
  • We Build Bots
  • Xenonstack

Methodology

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Table Information