Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The emergence of the mega-tech vendor economy
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > The emergence of the mega-tech vendor economy
Business Intelligence

The emergence of the mega-tech vendor economy

mfauscette
mfauscette
8 Min Read
SHARE
The event that brought this line of thinking out is the announcement today from IBM and Hubspan have formed a partnership and are jointly selling a new cloud-based integration platform called WebSpan.

In the IDC Top Ten Predictions publications over a year ago I started talking about the economies that were growing up around the major software vendors and their platforms. I could see that the consolidations in the market had changed the dynamics of the industry,that the consolidation cycle was continuing and that partners were growing into more of an ecosystem around those larger mega-vendors. 

What I didn’t envision though was to what extent that consolidation would extend and that in technology as a whole there would be a change to this model of mega-vendor and ecosystems.
OK, the Oracle Sun acquisition brought on this concept of the new hybrid mega-vendor, but the signs were already there before, I just didn’t think big enough.
I’ve already posted on the Oracle-Sun deal so I won’t go back through that for now, even though I will most probably do more when more details come out…

The event that brought this line of thinking out is the announcement today from IBM and Hubspan have formed a partnership and are jointly selling a new cloud-based integration platform called WebSpan.

In the IDC Top Ten Predictions publications over a year ago I started talking about the economies that were growing up around the major software vendors and their platforms. I could see that the consolidations in the market had changed the dynamics of the industry,that the consolidation cycle was continuing and that partners were growing into more of an ecosystem around those larger mega-vendors. 

More Read

AI helping gaming industry
Will Gaming Platforms Adopt AI for Customer Risk Profiling?
Are You A Data Whisperer?
The Cloud, AI and New Hardware Powers Big Data Analysis’ Future
Domo to Disrupt the BI Software Industry
Data hostages: The emerging business model of Web 2.0
What I didn’t envision though was to what extent that consolidation would extend and that in technology as a whole there would be a change to this model of mega-vendor and ecosystems.
OK, the Oracle Sun acquisition brought on this concept of the new hybrid mega-vendor, but the signs were already there before, I just didn’t think big enough.
I’ve already posted on the Oracle-Sun deal so I won’t go back through that for now, even though I will most probably do more when more details come out. 
The one point I want to make is that Oracle, post close, will not look anything like it did before, from database / middleware / application software company add hardware, storage, infrastructure software + the #1 slot in open source software. Also the competitive landscape shifts even more, Oracle would then be a hybrid conglomerate like IBM, Microsoft, HP,Google and Cisco. 
SAP would only be seen as a competitor in the apps business, a medium piece of the whole. And as for other software companies, they would only compete with Oracle in distinct markets. The focus of Oracle as a whole changes.

The event that brought this line of thinking out is the announcement today from IBM and Hubspan have formed a partnership and are jointly selling a new cloud-based integration platform called WebSpan. WebSpan is a SaaS integration platform that combines IBM’s Websphere integration software with WebSpan’s on demand integration platform into a single integration platform providing process automation and information integration in one package. The new product offering will be sold by both sales organizations. This is a clear example of the evolving ecosystem and a new way of bringing products to market together. Not that the details of the deal are particularly different from any number of joint go-to-market announcements but what is interesting is the number of and the density of these types of announcements as well as the much stronger joint go-to-market approach. Don’t be surprised to see more of these closely tied partnerships converge around those few mega-vendors this year.

With all the consolidation and the emergence of the mega-vendors there’s a lot of talk about innovation in the tech space and specifically how the new mega-vendor environment stifles innovation in tech. There are two types of innovation, continuous and discontinuous and in understanding where our industry is moving it’s important to note the difference. Continuous innovation happens in a steady path of improvements to existing product lines over time.

This is the most common form of innovation and is evidenced by the “roadmaps” of all the tech companies. It is also the easiest for customers to adopt and implement as it does not radically change their infrastructure,environment and processes (there is of course incremental process change and improvement but it is in small doses). The game changing innovation is discontinuous.

 Discontinuous innovation is the radical leap-frogging of a current industry norms, things like client/server over mainframe and SOA are good examples in the enterprise space. The mega-vendor model feeds off of continuous innovation while start-ups often feeds off of discontinuous innovation. I think both of these types of innovation are important in a maturing industry like tech and in fact they seem to continue in a healthy way today. 

What I think is different is that we have three (and only three) classes of vendors today… the mega-vendor (who will compete and partner amongst themselves as it suites their business), the midsize (and often slow growth) vendor that competes with the mega-vendor in one or a few segments (and over time maybe pulled into the mega-economy by being acquired by one of the mega-vendors, or if niche enough, continues on in a healthy way) and start ups.

 The start ups will drive discontinuous innovation and, if successful (most are not), be acquired by the mega-vendor when the innovation is proven (will there be another Google,maybe but personally I don’t think so, they would be acquired before that could happen). Outside of this core there is a large partner ecosystem that grows up around each of the mega-vendors.

What this means for partners? I think it means that more than ever it’s critical to tie yourself to one of these mega-vendors, use their platforms and go-to-market together. I also see quite a bit of partner consolidation and certainly there will emerge a set of thriving and potentially larger and more complete partners in each ecosystem. Pick the right mega-vendor for your business and leverage what they bring to market, that’s the key.

TAGGED:innovation
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive
julia taubitz vn5s g5spky unsplash
Benefits of AI in Nursing Education Amid Medicaid Cuts
Artificial Intelligence Exclusive News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Data Collection: No Dashboard, Just an Ironing Board

2 Min Read

How to Innovate in a Bureaucratic Culture

4 Min Read

Software Patents: A Personal Story

8 Min Read

Competition is overrated

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?