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AI in Government - Forecasts from 2020 to 2025

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    Report

  • 120 Pages
  • May 2020
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 5067465
The Artificial Intelligence (AI) in government market was valued at US$4.904 billion in 2019. In recent years, government in different countries are taking a keen interest in artificial intelligence (AI) technology. They are increasingly investing in artificial intelligence (AI), spending budget, and time on pilot programs for various AI applications while discussing with people in the filed on the future implications of this technology for various public projects. The growing volume of big data is the major factor that is increasing the adoption of artificial intelligence (AI) technology across the government sector as it reduces the cost of storing and processing that data. The rapid adoption of cloud computing solutions is also contributing to the market growth of artificial intelligence (AI) in government as cloud computing brings together data and cognitive services, along with edge computing which allows for the fast response time by the deputies. With improving machine learning capabilities, governments are likely to invest more in artificial intelligence (AI) research. Currently, world governments are working with industry leaders as well as academia on several AI projects, ranging in application from coordinating traffic to digitizing backlogs of government documents. This will continue to boost the market growth of artificial intelligence (AI) in government until the end of the forecast period.

The most common application of artificial intelligence in the government sector is the use of chatbots. Earlier, they tend to be used for very narrow applications, answering simple routine questions. But their value is increasing with more conversations and questions while providing feedback to improve customer service. Since people are already using AI for a digital assistant, bot, or some type of intelligent service in the commercial space, the government is also required to imbibe this technology for the same.

The proliferation of artificial intelligence (AI) in government requires a macro-level strategy to be adopted by governments on account of the disruptive potential of this technology. Governments are taking several initiatives and implementing policies that are coherent with the better use of AI across the public sector, thus positively impacting the overall market growth.

However, so far, the adoption of artificial intelligence (AI) in state and local governments is increasing at a slower pace and smaller scale as compared to that in the private sector. Many governments still need to upgrade their legacy IT infrastructure in order to use AI technology to its full potential while reducing compatibility issues. Moreover, many government departments lack necessary computing resources for AI projects since heavy data might require more expensive graphical processing units, thus hindering the market growth. Another factor that is restraining the growth of AI in government market is the lack of data scientists and subject matter experts required by the government to determine problems that AI could solve for a given government department.

Artificial Intelligence (AI) in Government market is segmented by offering, technology, and geography. By offering, the global artificial intelligence (AI) in Government market is segmented into hardware, software, and services. By technology, the market is segmented into machine learning, deep learning, machine vision, natural process learning.

North America holds the significant market share throughout the forecast period

Geographically, the Artificial Intelligence (AI) in Government market is segmented as North America, South America, Europe, the Middle East, and Africa (MEA), and Asia Pacific (APAC). North America accounted for the significant market share in 2019 and will remain at its position until the end of the forecast period. Early adoption of new advanced technologies and the presence of major market players in the region supports the growth of this regional market. The United States is the major market in this region as the country has already started incorporating artificial intelligence technology for several public projects. For example, the New York City Department of Social Services (DSS) partnered with IBM to develop a portal for one of their initiative- the Supplemental Nutrition Assistance Program (SNAP), for which government agency employees were needed to process around 70,000 SNAP applications per month. IBM Watson helped to find a scalable solution in order to maximize outreach to the customer base. In 2015, the U.S. Citizenship and Immigration Services (USCIS) launched a chatbot named Emma which answers questions on immigration and takes visitors to the right page of the USCIS website. IN 2012, the Pittsburgh Department of Transportation collaborated with Rapid Flow Technologies to install the system in a pilot project in East Liberty. Using the system SURTRAC, the city traffic control departments are able to manage traffic flows through several intersections while using artificial intelligence (AI) to optimize the traffic system by reducing travel times, traffic stops, and wait times. Furthermore, the U.S. and Canada are investing heavily in R&D for different AI applications which will continue to drive the market growth of Artificial Intelligence (AI) in Government in North America during the forecast period. The country is aimed to become the world leader in artificial intelligence (AI) by 2025, using this technology by the central government to monitor and control its own population.

Asia Pacific will witness a substantial CAGR during the forecast period, majorly attributed to the mushrooming investment in artificial intelligence (AI) technology in China. Other APAC countries are also investing in AI for public projects on account of the growing popularity of cloud computing, digitalization, and the rising volume of data. In 2016, Singapore’s government partnered with Microsoft on its “Conversations as aa Platform” for its Smart Nation Initiative in order to explore next-generation government services based on a shift towards conversational computing using chatbots.

Competitive Insights

Prominent key market players in the Artificial Intelligence (AI) in Government market include Accenture, Microsoft Corporation, ALEX - Alternative Experts, LLC, Alion Science and Technology Corporation, IBM, and SAS Institute Inc. among others. These companies hold a noteworthy share in the market on account of their good brand image and product offerings. Major players in the Artificial Intelligence (AI) in Government market have been covered along with their relative competitive position and strategies. The report also mentions recent deals and investments of different market players over the last two years.

Segmentation

By Offering
  • Hardware
  • Software
  • Services

By Technology
  • Machine Learning
  • Deep Learning
  • Machine Vision
  • Natural Process Learning

By Geography
  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • South Korea
  • India
  • Others

Table of Contents

1. Introduction
1.1. Market Definition
1.2. Market Segmentation
2. Research Methodology
2.1. Research Data
2.2. Assumptions
3. Executive Summary
3.1. Research Highlights
4. Market Dynamics
4.1. Market Drivers
4.2. Market Restraints
4.3. Porters Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
5. Artificial Intelligence (AI) in Government Market Analysis, By Offering
5.1. Introduction
5.2. Hardware
5.3. Software
5.4. Services
6. Artificial Intelligence (AI) in Government Market Analysis, By Technology
6.1. Introduction
6.2. Machine Learning
6.3. Deep Learning
6.4. Machine Vision
6.5. Natural Process Learning
7. Artificial Intelligence (AI) in Government Market Analysis, By Geography
7.1. Introduction
7.2. North America
7.2.1. North America Artificial Intelligence (AI) in Government Market, By Offering, 2019 to 2025
7.2.2. North America Artificial Intelligence (AI) in Government Market, By Technology, 2019 to 2025
7.2.3. By Country
7.2.3.1. USA
7.2.3.2. Canada
7.2.3.3. Mexico
7.3. South America
7.3.1. South America Artificial Intelligence (AI) in Government Market, By Offering, 2019 to 2025
7.3.2. South America Artificial Intelligence (AI) in Government Market, By Technology, 2019 to 2025
7.3.3. By Country
7.3.3.1. Brazil
7.3.3.2. Argentina
7.3.3.3. Others
7.4. Europe
7.4.1. Europe Artificial Intelligence (AI) in Government Market, By Offering, 2019 to 2025
7.4.2. Europe Artificial Intelligence (AI) in Government Market, By Technology, 2019 to 2025
7.4.3. By Country
7.4.3.1. Germany
7.4.3.2. France
7.4.3.3. United Kingdom
7.4.3.4. Spain
7.4.3.5. Others
7.5. Middle East and Africa
7.5.1. Middle East and Africa Artificial Intelligence (AI) in Government Market, Offering, 2019 to 2025
7.5.2. Middle East and Africa Artificial Intelligence (AI) in Government Market, By Technology, 2019 to 2025
7.5.3. By Country
7.5.3.1. Saudi Arabia
7.5.3.2. UAE
7.5.3.3. Israel
7.5.3.4. Others
7.6. Asia Pacific
7.6.1. Asia Pacific Artificial Intelligence (AI) in Government Market, By Offering, 2019 to 2025
7.6.2. Asia Pacific Artificial Intelligence (AI) in Government Market, By Technology, 2019 to 2025
7.6.3. By Country
7.6.3.1. China
7.6.3.2. Japan
7.6.3.3. South Korea
7.6.3.4. India
7.6.3.5. Others
8. Competitive Environment and Analysis
8.1. Major Players and Strategy Analysis
8.2. Emerging Players and Market Lucrativeness
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Vendor Competitiveness Matrix
9. Company Profiles
9.1. Accenture
9.2. Microsoft Corporation
9.3. ALEX - Alternative Experts, LLC
9.4. Alion Science and Technology Corporation
9.5. IBM
9.6. SAS Institute Inc.
9.7. DataRobot, Inc.
9.8. ElectrifAI

Companies Mentioned

  • Accenture
  • Microsoft Corporation
  • ALEX - Alternative Experts, LLC
  • Alion Science and Technology Corporation
  • IBM
  • SAS Institute Inc.
  • DataRobot, Inc.
  • ElectrifAI

Methodology

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