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Automated Surveillance & Data Collection UNMANNED SYSTEMS & IoT TAXONOMY: AUTOMATED SURVEILLANCE & DATA COLLECTION COMPANIES INCLUDED AGENCIES INCLUDED AASKI Technology Inc. Sprint Corp. (S) Air Force Accenture PLC (ACN) Textron Inc. (TXT) Army ADS Tactical Inc. UNICOM Government Defense Advanced Research Projects Agency Analytic Services Inc. University of Texas Defense-Wide Analytical Mechanics Associates Inc. Ventech Solutions Inc. General Services Administration Arctic Slope Regional Corp. Verizon Communications Inc. (VZ) Department of Homeland Security Arrow Electronics Inc. (ARW) ViaSat Inc. (VSAT) National Aeronautics and Space Administration AT&T Inc. (T) WM Robots Naval Sea Systems Command AVAYA Inc. World Wide Technology Inc. Navy BAE Systems PLC (BAESY) Xtec Inc. Ball Corp. (BLL) Boeing Co. (BA) Booz Allen Hamilton Inc. (BAH) Boston Dynamics CACI International Inc. (CACI) California Institute of Technology Carahsoft Technology Corp. CDW Corp. (CDW) CSRA Inc. (CSRA) Data Link Solutions Dell Inc. DLT Solutions Inc. DXC Technology Co. (DXC) ERAPSCO Esri General Dynamics Corp. (GD) Harris Corp. (HRS) Intelligent Software Solutions USA Inc. International Business Machines Corp. (IBM) iRobot Corp. (IRBT) Iron Bow Technologies Jacobs Engineering Group Inc. (JEC) Johns Hopkins University Kongsberg Gruppen L3 Technologies Inc. (LLL) Leidos Inc. (LDOS) Lockheed Martin Corp. (LMT) ManTech International Corp. (MANT) Mythics Inc. NANA Regional Corp. Navmar Applied Sciences Corp. Northrop Grumman Corp. (NOC) OnPoint Consulting Inc. Palantir Technologies Presidio Networked Solutions LLC Quality Software Services Inc. QuinetiQ Group PLC (QQ) Raytheon Co. (RTN) SAIC Corp. (SAIC) SAP (SAP) Serco Inc. (SRP) SGT Inc. 1 THE ERA OF AUTOMATED SURVEILLANCE & DATA COLLECTION: UNMANNED SYSTEMS, IoT AND CYBER Advancements in data collection, marked by technology breakthroughs in Unmanned Systems and the Internet of Things (IoT) is reshaping operating concepts for Federal agencies. Defense agencies are further along at integrating these technologies than civilian agencies, which presents an opportunity for civilian agencies to buy cheaper commercial solutions instead of custom built ones. This analytic report presents Govini’s Unmanned Systems and IoT Taxonomy, a roadmap for tracking key market drivers as the Federal government further incorporates these two capabilities into concepts of operations (CONOPS). Key Findings Spending on Unmanned Systems, IoT and Cyber Defense totaled $31.3 billion in FY16. The smallest category by obligated dollars, Cyber Defense grew the most in FY16 by 52.6 percent primarily from investment in Endpoint Defense and Application Security - two segments most related to IoT. IoT, the largest category totaled $12.2 billion in FY16. It encompasses a broad set of solutions including Data Collectors and Cloud. Data Collectors accounted for 34.7 percent of IoT spending since FY11 and Cloud 26.8 percent. The two will continue to command the largest shares of IoT spending until technologies advance and costs come down. Unmanned Systems, the second largest Taxonomy category, has historically been dominated by Aerial investments aligned to military missions. However that is beginning to change as Processing, Exploitation and Dissemination (PED) is gaining in importance. Proliferation of assets in other domains and the need to connect them through data streams for improved decision making is forcing focus on PED. An elusive priority remains transitioning from closed PED architectures built around existing unmanned platforms to open ones that would allow the integration of the next- generation unmanned platforms. Together Aerial and PED accounted for 84 percent of Unmanned Systems spending. Federal Agencies are investing heavily in evolving Cybersecurity capabilities and it is focusing on software to do it. Identity Credential and Access Management (ICAM) Software and Boundary Defense Software had the largest FY16 spending increases of 198.2 percent and 126.8 percent respectively. The investment approach is paving the way for greater reliance on Unmanned and IoT technologies. UNMANNED SYSTEMS & IoT TAXONOMY Unmanned Systems IoT Cyber Defense Unmanned Unmanned Unmanned ISR Data Network Application Endpoint Boundary Cloud Software Aerial Ground Undersea PED Collectors Connectivity Security Defense Defense ISR Infrastructure Network UAV UGV Inter- UUV Data Science Security ICAM 4.3% 13.0% Processing 28.3% Equipment Assured PNT 32.5% as a 8.2% 18.6% 94.5% 17.8% Traffic 6.7% Platforms operability 19.1% Platforms 10.3% & Analytics Configuration Hardware $3.5B $599.5M $281.7M $1.5B & Services $2.2B $550.8M Service $970.6M $1.0B $1.4B $671.1M Protection $720.8M Vulnerability Boundary Support UGV Data Science Wireless Migration Database ICAM UUV Sonar 11.0% Sensors 13.0% 64.0% 6.2% 18.8% & Event 32.4% 198.2% Gateway 17.1% Services 27.7% Platforms 8.2% 18.0% & Analytics Services Service Software Software $1.3B $387.3M $184.8M $1.1B $2.1B $548.3M $763.7M $678.5M Response $1.2B $611.6M & Switch $558.5M Exploitation Platform UAV C2 UGV UUV Command ETL Data Endpoint Virtualization 3.4% 9.7% & 5.1% as a Encryption Infrastructure R&D R&D 27.4% & Control 22.9% 21.8% Processing 6.5% 31.2% Software 72.0% Security 66.0% $1.2B $26.1M $138.8M Dissemination $757.5M $510.8M Service $671.1M $249.8M $200.6M $579.3M $440.7M Software UAV Tactical System Messaging Endpoint Secure as a R&D 1.0% Data Links 5.2% 3.1% Applications 7.9% Security 2.9% Response 64.2% Router 15.9% $203.2M $450.6M Service $591.0M $207.5M $81.3M $553.0M $375.4M Web Advanced Patch Boundary Storage Application Data Links 24.8% 42.8% 89.3% Management 23.4% Software 126.8% $189.6M $271.9M Firewall $76.0M $114.3M $333.8M Wireless Devices 19.1% $151.5M Data Link Gateways 31.4% $106.8M Exhibit 1: IoT is the broadest Taxonomy category with the greatest number of sub-segments and thus accounted for the largest FY16 spending share of 38.9 percent, followed by Unmanned Systems with 35.7 percent and Cyber Defense with 25.4 percent. Note: Govini’s Unmanned Systems & IoT Taxonomy consists of segments and sub-segments. FY16 spending and the percent change in spending between FY15 and FY16 are noted for each sub-segment. UNMANNED SYSTEMS & IoT TAXONOMY: AUTOMATED SURVEILLANCE & DATA COLLECTION 2 Cyber Investment Lays Foundation for Greater Reliance on IoT and Unmanned Systems In preparation for this whitepaper, Govini compiled more than 600,000 distinct contract actions between FY11 and FY16 that correlate to the capability definitions below. This analysis presents annual spending trends and competitor landscape for all elements of Govini’s Unmanned Systems and IoT Taxonomy. Unmanned Systems Aerial - platforms that operate from the air to provide surveillance, strike and other capabilities ISR PED - architectures for processing, exploiting and disseminating data for decision making Ground & Robotics - terrestrial vehicle or robotic platforms that operate remotely or autonomously Undersea - platforms operating on the surface or submerged in the sea Internet of Things (IoT) Data Collectors - intelligence, surveillance and reconnaissance (ISR) equipment and sensors Cloud - various forms of “as a service” cloud computing models Network Connectivity - network formation through various hardware and software Software - coded instructions informing processors to perform a specific function Cyber Defense Application Security - finding, fixing and preventing security vulnerabilities in application software Endpoint Defense - protecting networked devices that interact with untrusted devices Boundary Defense - controlling access to networks to prevent successful cyber attacks Exhibit 2: Cyber Defense spending grew the most in FY16. Two segments most related to IoT, Endpoint Defense and Application Security, had the most growth of 68 percent and 50.1 percent respectively. Unmanned Aerial is the largest segment by FY16 obligations with $6.2 billion followed by Data Collectors with $4.2 billion. UNMANNED SYSTEMS & IoT TAXONOMY: AUTOMATED SURVEILLANCE & DATA COLLECTION 3 Unmanned Grows Competitive as Technologies Advance and Applications Evolve The initial value proposition for unmanned technology is that it relieved warfighters of high- threat casualty situations. It still purports that value, but as technology advances and cost come down, drones are finding their way to more markets including transportation, agriculture, energy, construction, movie production, public safety and of course retail. The Federal government’s use of unmanned platforms, however, is limited to mostly military and security missions that tend to require custom solutions with closed networking. However, civilian agencies are not likely to have the same custom requirements and therefore could look to existing low-cost commercial solutions to meet their needs. This means that current providers of unmanned platforms used by the Department of Defense (DoD) including General Atomics, Northrop Grumman, and Textron are not likely going to be the ones providing solutions to civilian agencies. Regardless of the application - surveillance, mapping, delivery or deep water/space exploration, Federal spending on unmanned systems is poised for significant growth, especially as related Federal regulations evolve and new technologies emerge. One trend worth watching is advancement in software that can be reprogrammed to instruct drones to do new things based on machine learning and artificial intelligence (AI). Shield AI is one commercial company helping DOD deliver the solution. Co-Founder
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