
Digital Transformation and IT Automation Needs Drive Hyperautomation Opportunities
The worldwide market for technology that enables hyperautomation will reach $596.6 billion in 2022, according to a new forecast from Gartner, Inc. This is up from $481.6 billion in 2020 and a projected $532.4 billion this year.
“Hyperautomation has shifted from an option to a condition of survival,” said Fabrizio Biscotti, research vice president at Gartner. “Organisations will require more IT and business process automation as they are forced to accelerate digital transformation plans in a post-COVID-19, digital-first world.”
Hyperautomation is an approach that enables organisations to rapidly identify, vet and automate as many processes as possible using technology, such as robotic process automation (RPA), low-code application platforms (LCAP), artificial intelligence (AI) and virtual assistants.
Tools such as RPA, LCAP and AI are considered process-agnostic software, meaning that they can be used in any organisation across multiple IT and business use cases. Process-agnostic software will be most in demand as key enablers of the hyperautomation trend. The market is expected to see double-digit growth through 2022 (see Table 1). Other software used to automate more specific tasks, such as ERP, supply chain and CRM systems, will also contribute to the growth of the market.
Table 1: Worldwide Forecast for Hyperautomation-Enabling Technologies (Millions of US Dollars)
| 2020 | 2021 | 2022 | |
| Process-Agnostic Software That Enables Hyperautomation | 19,604 | 25,108 | 30,184 |
| Other Software That Enables Hyperautomation | 462,030 | 507,316 | 566,433 |
| Total | 481,635 | 532,424 | 596,616 |
Source: Gartner (April 2021)
Gartner predicts that through 2024, the drive towards hyperautomation will lead organisations to adopt at least three out of the 20 process-agonistic types of software that enable hyperautomation.
“Organizations are transitioning from a loosely coupled set of automation technologies to a more-connected automation strategy,” said Cathy Tornbohm, distinguished research vice president at Gartner. “In response, vendors are developing integrated offerings that combines technologies like RPA, LCAP and business process management into one, packaged tool.”
The fastest-growing category of hyperautomation-enabling software includes tools that provide visibility to map business activities, automate and manage content ingestion, orchestrate work across multiple systems, and provide complex rule engines.
Technologies to automate content ingestion, such as signature verification tools, optical character recognition, document ingestion, conversational AI and natural language technology (NLT) will be in high demand. Organisations will need such tools to automate the digitalisation and structuring of data and content – for example, automating the process of digitalising and sorting paper records.
Gartner expects that by 2024, organisations will lower operational costs by 30% by combining hyperautomation technologies with redesigned operational processes.
“The shift towards hyperautomation will be a key factor enabling businesses to achieve operational excellence, and subsequently cost savings, in a digital-first world,” said Ms Tornbohm.
Gartner clients can read more in “Forecast Analysis: Hyperautomation Enablement Software, Worldwide.”
Fachartikel

Gefährliche Chrome-Erweiterung entwendet Zugangsdaten von Meta Business-Konten

Agentenbasierte KI im Unternehmen: Wie Rollback-Mechanismen Automatisierung absichern

Google dokumentiert zunehmenden Missbrauch von KI-Systemen durch Cyberkriminelle

Sicherheitslücke in Claude Desktop Extensions gefährdet Tausende Nutzer

KI-Agenten: Dateisystem vs. Datenbank – Welche Speicherlösung passt zu Ihrem Projekt?
Studien

Deutsche Wirtschaft unzureichend auf hybride Bedrohungen vorbereitet

Cyberkriminalität im Dark Web: Wie KI-Systeme Betrüger ausbremsen

Sicherheitsstudie 2026: Menschliche Faktoren übertreffen KI-Risiken

Studie: Unternehmen müssen ihre DNS- und IP-Management-Strukturen für das KI-Zeitalter neu denken

Deutsche Unicorn-Gründer bevorzugen zunehmend den Standort Deutschland
Whitepaper

MITRE ATLAS analysiert OpenClaw: Neue Exploit-Pfade in KI-Agentensystemen

BSI setzt Auslaufdatum für klassische Verschlüsselungsverfahren

Token Exchange: Sichere Authentifizierung über Identity-Provider-Grenzen

KI-Agenten in Unternehmen: Governance-Lücken als Sicherheitsrisiko

KuppingerCole legt Forschungsagenda für IAM und Cybersecurity 2026 vor
Hamsterrad-Rebell

KI‑basierte E‑Mail‑Angriffe: Einfach gestartet, kaum zu stoppen

NIS2: „Zum Glück gezwungen“ – mit OKR-basiertem Vorgehen zum nachhaltigen Erfolg

Cyberversicherung ohne Datenbasis? Warum CIOs und CISOs jetzt auf quantifizierbare Risikomodelle setzen müssen

Identity Security Posture Management (ISPM): Rettung oder Hype?







