This document provides an overview and analysis of emerging technologies and their impact on the middleware landscape. It segments middleware into seven categories and estimates their market sizes and growth rates. Emerging technologies like blockchain, serverless computing, and AI are shaping the landscape and interactions between segments. The document analyzes these technologies using frameworks to understand their history, hype cycles, and potential impacts. It presents timelines for publishing reports on serverless and blockchain technologies and identifies other areas like chatbots and IoT that need analysis. The overall goal is to provide an understanding of current and future technology markets and opportunities for discussion.
3. ● Landscape and market forces shape technology competition
○ With the added complexity that the landscape changes very fast
● Global Market Outlook (internal use)
○ Categorize middleware into segments and subsegments and estimate their
sizes and growth
● Global Technology Outlook (externally published)
○ A yearly critical review of emerging tech
● Goals
○ Internal understanding and planning
○ Sharing how we think about current and future markets
○ A means for dialog and feedback
CTO Office
4. Middleware Landscape (Market Outlook)
● We identified seven segments
○ Apps
○ Integration - ESB, APIs, Messaging, Workflows
○ Observability
○ Storage - RDBMS & NoSQL
○ Infrastructure - DevOps and Orchestration
○ Security
○ IoT
● We did an exercise to estimate their size and growth (CAGR)
15. Technology Canvas
(work in progress)
● A framework for us to analyze technologies
○ Are we asking the right questions
● Inspired by “Business Model Canvas”
○ Designed to capture a business model narrative
○ https://strategyzer.com/canvas/business-model-canvas
● The narrative and questions let us analyze an emerging
technology with a critical approach
16. Can it be
done with
reasonable
effort?
Is there real
impact?
Net positive drivers
Future & risks
Narrative
17.
18.
19. Blockchain
A distributed immutable ledger that
provides trust without a third party
Technology
Slow (8 trans/minute)
Scale is limited
Can’t undo operations
e.g. Ethereum, HyperLedger
Vision
Electronic cash (Bitcoin)
Decentralized systems without central
control (social network, DNS, auction,
prediction markets, global reputation)
Safe ledgers (Government records, land
registry)
Opinion
Still early, vision is too big in many ways
20. Artificial Intelligence
Enable computer based data driven
decisions
Enables automation
Currently world is limited by humans in
the loop.
Next industrial revolution may be
powered by unlimited decision making
power (as opposed to by unlimited
mechanical power in the last)
Opinion:
it has slowed down due to lack of
programmers and data scientists (needs
automation for the data science process
itself and turnkey solutions)
Many initial wins
Nate Silver Election Forecasts IBM Watson
Moneyball (Baseball)
21. Timeline
● Timeline for publication of GTO outputs
○ Serverless - end of July
○ Blockchain - end of September
○ We will release each technology updates independently and do
summaries connecting them at end of each year.
● Other candidate areas
○ Chatbots, IoT, Immersive AR/VR, AI & Analytics, etc