Trend Keyword Overview

The ORCAS BUILD Trend Map

10 Key Industry Trends · Drivers · Opportunities

O

Orchestrated Platform Engineering

"Developers should focus only on development. In 2026, enterprises will maximize productivity and experience (DX) by orchestrating infrastructure through Internal Developer..."
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Definition

"Developers should focus only on development. In 2026, enterprises will maximize productivity and experience (DX) by orchestrating infrastructure through Internal Developer..."

To allow developers to focus solely on business logic away from the complexity of infrastructure management, development environments are provided in a 'self-service' form through Internal Developer Platforms (IDP). Through the 'Golden Path,' infrastructure provisioning, security policy application, and CI/CD pipeline configuration are standardized and automated to innovate the developer experience (DevX).

Drivers

Tech (Technology)

The technical complexity of Cloud Native environments (Microservices Architecture (MSA), Kubernetes, etc.) has surged, causing developer cognitive load to reach its limit.

Social

To prevent a decline in developer productivity and burnout, improving Developer Experience (DevX) has emerged as a key factor in talent acquisition and retention.

Opportunities

IDP Implementation and Transition Consulting

Professional services that analyze corporate development processes to design optimal Internal Developer Platforms (IDP) and transition existing DevOps environments into Platform Engineering systems.

Managed IDP (SaaS-based Platform)

Generating subscription revenue by providing standardized development platforms as-a-Service for mid-sized and small enterprises that find it difficult to build their own in-house platform teams.

Definition

"As Artificial Intelligence becomes commonplace, governance frameworks that ensure ethical and legal responsibility will become a core Competitive Advantage for enterprises in..."

By internalizing processes for Artificial Intelligence Trust, Risk, and Security Management (TRiSM), the transparency and fairness of Artificial Intelligence models are technically verified and guaranteed. Moving beyond simple ethical declarations, 'Governed MLOps' is used to monitor and control bias and risks in real-time throughout the entire process from development to Operations.

Drivers

Policy (Regulation)

Regulations and transparency requirements for Artificial Intelligence technology, such as the EU Artificial Intelligence Act (AI Act), are being strengthened as legal obligations worldwide.

Economy

Growing management necessity to manage financial losses and reputational risks resulting from Artificial Intelligence Hallucination or biased judgment.

Opportunities

AI Compliance Consulting

High-value advisory services providing risk assessment, internal policy establishment, and audit response strategies to address complex global AI regulations such as the EU AI Act.

Integrated AI Governance Platform Implementation

Implementation and Operations of integrated solutions providing inventory management of in-house AI models, bias monitoring, and Explainable AI (XAI) visualization features.

Definition

"In 2026, the standard for application architecture will completely shift to Cloud Native. Microservices Architecture (MSA), containers, and DevOps are now essential survival..."

Applications are decomposed into Microservices Architecture (MSA) and redesigned into flexible structures capable of independent deployment and Scalability using container technology. This maximizes business agility in Hybrid Cloud and multi-cloud environments without being dependent on a specific cloud.

Drivers

Economy

Securing business speed and deployment flexibility to respond immediately to market changes and customer demands has become critical.

Tech

The need for elastic Scalability of systems to respond cost-effectively to unpredictable traffic and workloads.

Opportunities

Legacy Transformation and Migration

Engineering services that analyze existing monolithic applications, refactor them into Microservices Architecture (MSA), and securely migrate them to the cloud.

FinOps-based Cost Optimization

A managed service that analyzes Cloud resource usage to eliminate waste and reduce infrastructure costs through methods such as utilizing spot instances.

Definition

"Beyond simple repetitive tasks, AI Agents that plan and judge on their own to perform complex tasks will innovate the work environment in 2026. It is a shortcut to becoming an..."

Beyond following pre-defined rules, AI Agents understand goals and establish plans on their own to autonomously perform complex business processes. Through a 'Multi-Agent System' where multiple agents collaborate, it integrates with core systems such as ERP and SCM to automate end-to-end tasks.

Drivers

Economy

The need to maximize productivity by automating not only simple repetitive tasks but also complex Decision-making and end-to-end processes.

Social

In response to the shortage of skilled labor, using AI Agents to fill work gaps and encourage humans to focus on high-value-added tasks.

Opportunities

Establishing an Agentic AI Strategy Roadmap

Consulting that diagnoses a client's business process to identify areas with the highest ROI for the adoption of autonomous agents and provides a step-by-step adoption strategy.

Multi-Agent System Integration (SI)

Designing and developing a Multi-Agent System for collaboration that integrates with existing legacy systems such as ERP and CRM to enable practical task processing.

Definition

"In 2026, when attacks exploiting Generative AI surge, Zero Trust and Artificial Intelligence-based defense systems are essential. Cyber resilience that predicts attacks in advance..."

Under the Zero Trust principle of "never trust, always verify," an active system is built to predict and defend against threats in advance using Artificial Intelligence and machine learning. The expanded attack surface is managed in real-time, and the transition to Post-Quantum Cryptography (PQC) is prepared to counter future quantum computer threats.

Drivers

Tech

Attack techniques such as sophisticated phishing and deepfakes exploiting Generative AI are becoming more advanced, and the attack surface is rapidly expanding to Cloud/IoT.

Tech

The necessity for long-term preparation against 'quantum threats' where existing cryptographic systems could be neutralized upon the emergence of future quantum computers.

Opportunities

AI-driven Managed Extended Detection and Response (XDR) Service

An intelligent security Operations service that automates security monitoring with Artificial Intelligence to increase the speed of threat detection and response, with experts supporting threat hunting.

Post-Quantum Cryptography (PQC) Transition Support

A future-ready security service that diagnoses a company's encryption assets in preparation for the quantum computing era and supports migration to Post-Quantum Cryptography (PQC) algorithms.

Definition

"Digital Twin and Spatial Computing combine to blur the boundaries between reality and virtuality. In 2026, industrial sites will zero out risks and maximize efficiency through..."

Replicate physical assets in virtual space through Digital Twin and perfectly synchronize reality and virtuality by combining with XR (Extended Reality) technology. Users intuitively control information through a 3D Spatial Computing interface and optimize Operations efficiency through virtual simulations.

Drivers

Economy

Demand to maximize Operations efficiency and reduce trial-and-error costs through virtual simulation prior to manufacturing processes or infrastructure construction.

Social

The need for safe and effective technical training to overcome physical distance constraints in global collaboration and remote work environments.

Opportunities

Building Industrial Digital Twins

A solution that virtualizes physical environments such as manufacturing plants and logistics centers, providing real-time data integration and simulation capabilities to enhance Operations efficiency.

XR-based Remote Collaboration/Training Platform

Development of remote maintenance support systems using AR glasses, etc., or VR immersive safety training content and platforms for high-risk occupations.

Definition

"Perform AI computations immediately anywhere at the Edge where data is generated. In 2026, ultra-low latency real-time processing becomes commonplace with the Adoption of..."

Instead of sending data to a central cloud, process and analyze it immediately at the Edge where data is generated using devices equipped with NPUs. Combined with 5G specialized networks, it supports ultra-low latency real-time Decision-making in environments such as smart factories or autonomous vehicles.

Drivers

Tech

Increasing demand for real-time capabilities requiring immediate processing without data transmission latency in areas such as autonomous driving and smart factories.

Policy (Regulation)

Strengthening security requirements for local data processing to comply with data sovereignty Regulation and prevent external leakage of sensitive information.

Opportunities

Building Edge-to-Cloud Infrastructure

Turnkey infrastructure services ranging from edge device selection to 5G private network design, edge server construction, and data pipeline connection with the cloud.

Industry-Specific Edge AI Solutions

Development and deployment of lightweight Edge AI models tailored to the characteristics of each industrial site, such as predictive maintenance in manufacturing and customer flow analysis in retail.

Definition

"It doesn't matter where the data is. Data Fabric in 2026 logically connects scattered data to provide high-quality data required for AI training and Hyper-personalization services..."

Instead of gathering physically distributed data in one place, it logically connects and virtualizes it to provide a single unified view. By utilizing AI and metadata technology, it allows for searching and utilizing necessary data in real-time regardless of its location, supporting Hyper-personalization services.

Drivers

Tech

The intensifying 'data silo' problem where data is fragmented across multiple systems, including on-premises and multi-cloud environments.

Economy

Intensifying competition for 'real-time Hyper-personalization' services that provide customized offers by responding immediately to customer micro-moments.

Opportunities

Data Fabric Architecture Design

Engineering services to design and build data virtualization and Data Fabric architectures that implement logical integration without physical data movement.

Hyper-personalization Marketing Solution (CDP)

Building a Customer Data Platform (CDP) that enables real-time customized recommendations through integrated analysis of data from all customer touchpoints based on Data Fabric.

Definition

"A world where anyone can create apps even if they are not a developer. In 2026, Low-Code Development combined with Generative AI becomes a catalyst for immediately implementing..."

Citizen Developers without professional coding knowledge directly develop business applications through GUI-based drag-and-drop methods and natural language commands from Generative AI. This resolves bottlenecks in IT departments and enables rapid digital transformation and Process automation led by business units.

Drivers

Social

Persistent imbalance where the demand for developers is skyrocketing due to the digitalization of all industries, while the supply of professional talent remains severely insufficient.

Economy

Demand to increase business agility by immediately implementing ideas from business units into applications without waiting for the IT department.

Opportunities

Citizen Developer Governance (CoE) Operations

Providing operation services for a Center of Excellence (CoE) that manages security, quality, and data regulations for apps created by internal Citizen Developers and provides standardized guides.

Support for the Adoption of Customized LCNC Platforms

Selecting and building Low-Code/No-Code platforms suitable for the corporate environment and providing training and change management programs for business users.

Definition

"ESG is an essential condition for corporate survival in 2026. Green IT technologies that reduce the massive energy consumption of AI data centers and zero out carbon emissions..."

In addition to improving data center cooling efficiency and using renewable energy, 'Sustainable Software Engineering' is applied to optimize energy efficiency at the software code level. By utilizing AI, power consumption of IT infrastructure is controlled in real-time to minimize carbon emissions and reduce costs.

Drivers

Environment

Surging power consumption and carbon emissions from data centers due to the Adoption of Generative AI emerging as a serious environmental issue.

Policy/Regulation

Carbon neutrality Regulation by governments and investor demands for ESG management information disclosure acting as direct pressure on corporate IT Strategy.

Opportunities

Green IT Diagnosis and Advisory

ESG-linked consulting that measures the Carbon Footprint of the entire IT infrastructure and presents specific Execution plans and roadmaps for energy efficiency improvement.

Carbon Management SaaS Solution

Providing software services that monitor carbon emissions from corporate IT activities in real time and automatically generate reports for submission to regulatory authorities.

Inside This Volume

30 Business Models in Detail

Each of the following business models has been ideated, validated through the NextBM200 platform, and deep-dived with implementation roadmaps, revenue structures, and benchmarkable cases - exclusively inside this volume.

⊘ Full details available
in the book
01 Benchmark Hub Full detail in book ->
02 Customized Edge AI Development Partner Full detail in book ->
03 Ecosystem Partner Agent Full detail in book ->
04 Public Audit Automation XR Audit Full detail in book ->
05 Data Quality Management Service Full detail in book ->
06 Edge Cache Network Full detail in book ->
07 ESG Report Assist Full detail in book ->
08 OT Zero Trust MDR Subscription (Smart Factory Specialized) Full detail in book ->
09 OT API Integration Platform Full detail in book ->
10 Explainability Template Service Full detail in book ->
11 Green IT Education and Certification Platform Full detail in book ->
12 Cost Optimization Modernization Service Full detail in book ->
13 CollabDev IDP Full detail in book ->
14 GovDigitalDev IDP Full detail in book ->
15 Container Migration Guide Full detail in book ->
16 AI Onboarding Automation Template Full detail in book ->
17 Local Update Network Full detail in book ->
18 Multi-vendor OT Device Support Package Full detail in book ->
19 Government IDP Platform Solution Full detail in book ->
20 Collaborative Design Review XR Platform Full detail in book ->
21 Data Governance Automation Platform Full detail in book ->
22 AgentLink Management Plan Full detail in book ->
23 AI-based Experiment Management Module Full detail in book ->
24 EdgeLicense Full detail in book ->
25 Hybrid AI Consulting Bundle Full detail in book ->
26 Public Procurement Automation Template Full detail in book ->
27 Anonymized Data Marketplace Full detail in book ->
28 Governance Audit Platform for Public Institutions Full detail in book ->
29 Open Standard Verification Framework Full detail in book ->
30 IT Service KPI Dashboard Business Full detail in book ->
Each BM includes: revenue model · implementation roadmap · benchmarkable cases · strategic insights

FAQ

IT Service Business Model FAQ

What does this IT Service business model report cover?

It covers 10 IT Service trend signals, the drivers behind them, related business opportunities, and 30 business model ideas for 2026.

How is the "ORCAS BUILD" trend keyword used?

The trend keyword is a shorthand map for the major shifts shaping IT Service, helping readers scan the strategic logic before reviewing each detailed trend.

Who should use this IT Service volume?

It is designed for founders, strategy teams, product leaders, investors, consultants, and new-business planners working on IT Service opportunities.

Where can I buy the full book?

The full English volume is available through Amazon and Google Play Books. Direct PDF purchase is shown only for visitors in the EU and UK.

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