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Trusted AI & Autonomy Program Trends by Emerging Tech Category, by Buyers/Programs, by Use Cases and Applications, by Companies (Underserved and All), and by Geography
Table of Contents
Artificial Intelligence (AI) is driving a profound transformation across industries and emerging technologies such as big data analytics, robotics, and the Internet of Things (IoT). The U.S. federal government has made strategic investments through various policies including the National Artificial Intelligence Initiative, Blueprint for an AI Bill of Rights, etc. to bolster this industry.
This report and accompanying datasets and dashboard provide deep insights into the Trusted AI & Autonomy market, which use cases are being funded, who is investing in them, which companies are winning, and which regions are emerging as the new hotbeds of innovation.
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Highlights from our ongoing analysis
  • This report examines R&D investments made by the U.S. federal government on Artificial Intelligence and related technologies through SBIR/STTR, Grants, and Other Transactions Awards during FY2018-FY2022. The next version of our analysis will include the RDT&E awards.
  • Some high-level insights include:
    • Over $10B spent on AI-related R&D by the U.S. federal government signifying a 346% growth during FY2018-FY2022
    • Approximately 80% of AI-related federal R&D awards were made through grants worth $8B during FY18-FY22. During the same time period, $1.8B worth of SBIR/STTR awards were awarded for AI-related R&D awards.
    • Use Cases - Market verticals where technology adoption is highest include Aerospace & Defense, Energy, Agriculture, Healthcare, and IT & Telecom. Examples of high-frequency use cases being invested include Unmanned Systems, Air Traffic Management, Energy Distribution Optimization, Smart Grids, Precision Farming, Patient Monitoring, Predictive Analytics, Image Recognition and Text Classification, etc.
    • Agencies - DOD and NSF have spent more than 54% of the R&D awards for Trusted AI & Autonomy category. Within DOD, the Dept. of Air Force, Navy, Army, DARPA, and MDA are making the most R&D investments. Other prominent civilian agencies include HHS, DOE, and NASA which comprises $4.1B worth of AI-related awards.
    • Program Offices – More than 420 Program Offices in transaction with the different contracting channels were identified for the Trusted AI & Autonomy category.
    • 3.2K+ Suppliers and Research Institutions were awarded AI-related R&D awards during FY18-FY22. Only 31% of awardees were underserved. The SBIR/STTR program has utilized the highest proportion of underserved suppliers with 47%, OTAs utilized 24% underserved suppliers whereas grants had the lowest share of underserved suppliers at 20%.
    • Emerging Regional Innovation Clusters - Various innovation clusters are emerging in regions such as Boston-Cambridge-Newton (MA-NH), New York-Newark-Jersey City (NY-NJ-PA), Washington-Arlington-Alexandria, (DC-VA-MD-WV), Los Angeles-Long Beach-Anaheim (CA), etc. These R&D innovation “hotbeds” have attracted the highest proportion of R&D investments.
Table of Contents
  1. Report Introduction
    1. Report Introduction
    2. Introduction and Methodology
    3. R&D Data Sets Analyzed
  2. Defining Critical and Emerging Technologies
    1. Critical Technologies Defined by Various Agencies and Their Policies
    2. Consolidated Critical Technologies based on PSF’s AI-MI Market Ontology Match
  3. Trusted AI & Autonomy Market Overview and Industry Trends
    1. AI Ecosystem Mapping
    2. Market Breakdown by Technology
    3. Market Breakdown by End-Use Industries
    4. Use-Cases and Technologies in Different Market Verticals Funded by Federal Government
  4. R&D Award Trend Analysis
    1. R&D Awards Growth Trend by Year and Funding Sources
    2. R&D Award Breakdown by Funding Sources
  5. Federal Demand Analysis and Portfolio of Agencies & Programs
    1. Federal Agencies Breakdown by R&D Investments and Funding Sources
    2. Utilization of Different R&D Contracting Channels (Funding Sources) Across Federal Agencies
    3. Example List of Program Offices Involved in Trusted AI & Autonomy
    4. Example List of Program Offices and R&D Awards
  6. Portfolio of Companies Winning R&D Awards
    1. Suppliers Involvement Based on Underserved Status
    2. Suppliers Trend Analysis by R&D Awards Across Different Funding Sources
    3. Suppliers Breakdown by Socioeconomic Designations
    4. Comparative Analysis of Underserved Suppliers Across Different Funding Sources (i.e., SBIR/STTR, Grants and OTAs)
    5. Suppliers Breakdown by Number of R&D Awards and Funding Sources
    6. Example List of R&D Funded Suppliers with Capabilities and Experience Data
  7. Other Ecosystem Participants
    1. Breakdown of Venture Capital Firms, Accelerators, Investment Partners, and Other Financing Institutions
    2. Illustrative List of Research Institutions/ Facilities and Universities with Sample Profile
  8. Regional Innovation Clusters Analysis
    1. Top 50 Regional Innovation Clusters by Federal Funding Sources based on Absolute and Per Capita Amount
    2. Top 50 Regional Innovation Clusters by All R&D Funding
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What Others are Saying About Our Analysis
This is a terrific report. We're going to share internally. Is it okay to share external to the DOD. There are more than a handful of companies that would find this useful.
Director at Defense Innovation Unit
This is some of the best work I’ve ever seen using taxonomies and unstructured data! Imagine, applying this same analysis to millions all investments by region and people.
Executive Director, University of Chicago Center for Impact Sciences
This is fantastic data! We certainly would like a briefing.
SVP of Microelectronics and Advanced Technologies, Large OTA Manager
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