We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: In the Future, Will Software Be More Important than Hardware?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Hardware > In the Future, Will Software Be More Important than Hardware?
CommentaryHardwareSoftware

In the Future, Will Software Be More Important than Hardware?

paulbarsch
paulbarsch
5 Min Read
In the Future, Will Software Be More Important than Hardware?
Illustrative image generated with OpenAI gpt-image-1.
SHARE

From talent wars going on in Silicon Valley for software engineers, to the hundreds of thousands of new smartphone applications coming online, it’s not far-fetched to believe that software rules the world today and will continue to rule in the future. However, some hardware makers strongly disagree- that it’s the physical design, construction and production of the device, machine or infrastructure that will take precedence. Who holds the future – hardware makers, software makers—or both?

A Financial Times article by Andrew Keen highlights a brewing battle between hardware and software makers for investor dollars. Both sides believe that they are the smarter investment for the long run. And both have a point.

First, it’s tempting to see hardware manufacturing as nothing more than something that should be outsourced. After all, companies such as Amazon source the production of the Kindle to offshore manufacturers, and it’s commonly understood that most large computer companies leave production of machines to Chinese/Taiwanese contract manufacturers such as Flextronics, FoxConn and others.

However, increasingly companies such as CPU manufacturers and tablet makers are taking some of these manufacturing capabilities in-house, especially as product complexity increases and integration between software and hardware becomes more commonplace. 

More Read

Walking Through The Front Door: SQL Injections
Walking Through The Front Door: SQL Injections
7 Big Data Trends That Will Impact Your Business
Cloud Technology Helps Students Earn Higher SAT Scores
This Is What’s Next For the Data-Driven eCommerce Charge
Add More Fuel to Your Migration with these Parse Alternatives

In addition, taking manufacturing capabilities in-house means less bureaucracy in terms of working with an outsourced vendor, arguably higher accountability (no one to blame for failures), and more control over manufacturing processes. Net, net in many cases the higher a product moves up the value chain in terms of complexity and integration, the more it makes sense for companies to assert authority, control and accountability for manufacturing operations—sometimes all the way to the point of assuming full responsibility for hardware production.

The counter argument however is hardware will always be a commodity. Designs and specs can be written so that just about any respectable contract manufacturer can produce a product. The real value, say software makers is the design of user interfaces all the way to behind the scenes algorithms responsible for executing complex processes.  Evidence for the “software will rule” camp include software companies gaining a bigger slice of VC funding, and the number of applications developed for iPhone (650k) and Android (400k). For further reading on this perspective, review VC and market maker Marc Andreessen’s comments.

Ultimately, the most likely answer of who will win the future (hardware vs. software) is that there’s a place for both camps. For example, it’s the integration of commodity hardware with advanced software that seems to be the best fit for many companies looking to acquire analytics capabilities. This is evidenced by the data warehouse appliance trend of an engineered and integrated solution stack of hardware and software coupled with services for implementation, maintenance and operations. These solution stacks are architected, performance tested, certified and supported. And they usually come from a single vendor responsible for the entire end-to-end package.  

In the meantime, we have a strong debate. VC’s like Marc Andreessen say software companies are primed to “take over large swathes of the economy”. Hardware makers claim the user experience in terms of design, touch and feel is more relevant than ever. What say you?

 

 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article weighs control and privacy from self-hosting against analytics depth and the server capa
4 Best Self-Hosted Analytics Solutions
Big Data Business Rules
Flat editorial illustration: A tech-editorial depiction of contextual re-identification risk in linked unstructured support recor
Stripping the Names Isn’t Enough: De-Identifying Unstructured Data
Exclusive Unstructured Data
Flat editorial illustration: The article connects practical management of local data, memory and software environments with direc
How Data Professionals Optimize Devices for AI and ML Projects
Artificial Intelligence Data Science Exclusive Machine Learning
Flat editorial illustration: The article connects verified lease abstraction at signing to accurate property charges and faster m
AI Lease Abstraction and Month-End Close Speed-Up Checklist
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

5 Ways Big Data Can Make Our Cars Smarter
Big DataHadoop

5 Ways Big Data Can Make Our Cars Smarter

6 Min Read
Hygienic Hadoop Data Lakes Not Just Happenstance
CommentaryData ManagementExclusiveHadoopOpen SourcePolicy and Governance

Hygienic Hadoop Data Lakes Not Just Happenstance

4 Min Read
Hadoop Code Reuse and Step-by-step Ways to Simplify Business Computing
HadoopMapReduceSoftware

Hadoop Code Reuse and Step-by-step Ways to Simplify Business Computing

7 Min Read
When Your Cloud Platform Becomes Your Competition
Cloud ComputingCommentaryHardware

When Your Cloud Platform Becomes Your Competition

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.

From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?