What are the IT Outsourcing Trends 2016


Question 1: What will be the most important IT trends in 2016? What's on the CIO agenda?

As in this year, the topic of "digitizationDigitalization" will remain at the top of the CIO agenda in the coming year. In contrast to 2015, however, in 2016 the companies will enter further transformation projects beyond the first digital lighthouses. Everything about digitization on CIO.de

The ever greater expectations of customers, as well as the ever shorter innovation cycles, make a fundamental realignment of the IT landscape and the underlying control mechanisms inevitable. The gap between the different rates of change in products and services and in internal IT must not widen even further.

CIOs need a strong mandate from above

CIOs who do not now courageously tackle a comprehensive digital transformation will fall further behind in 2016 and will no longer be able to provide their companies with strategic support in the long term. But CIOs also need a strong mandate from above so that the necessary changes can also cover the entire value chain in the company.

As in the previous year, key IT trends IT trends are the topics of Big Data, Big Data, the Internet of Things, as well as Cloud and SaaSSaaS as essential enablers of the new digital added value. Everything about Big Data on CIO.de Everything about IT trends on CIO.de Everything about SaaS on CIO.de

Question 2: What will be the most noticeable, biggest climber and what will be the biggest loser in 2016?

The biggest climber among the technology trends in 2016 compared to previous years is "Digital Design", or "Design Thinking". More and more companies are using Design ThinkingDesign Thinking to align their products and services more closely to the customer. Even if such methods are not fundamentally new, most CIOs have not had any contact with them in the past. In 2016, however, Design Thinking will be the basis of many transformation projects that CIOs have to orchestrate. Everything about Design Thinking on CIO.de.

Many CIOs and CTOs also use their own InnovationInnovationStudios or labs for a collaborative form of product design and the realignment of entire business models. However, this not only requires new methods, but also new skills among employees. In the past few months, the demand for appropriately trained and digitally trained staff (so-called digital natives) has risen sharply again. Everything about innovation on CIO.de.

  1. 2005
    Gartner already saw the topic of "Augmented Reality" as an important medium-term topic in 2005 and predicts that it will reach its peak in public awareness within five to ten years - 2015 at the latest.
  2. 2006
    The tablet PC made its way through the trend cycle in 2006 and only disappeared in 2010 after Apple introduced the first iPad, making it a mass product.
  3. 2007
    In this hype cycle, 3D printing appears for the first time, which is now slowly on the way to widespread recognition.
  4. 2008
    The era of cloud computing begins - hardly any other term will shape the IT industry in the following years. Today - six years later - the cloud has arrived in the "valley of disillusionment", as the article linked below shows.
  5. 2009
    For years, "quantum computing" has been in the "technology trigger" area with the prospect of only becoming really relevant in the distant future. It was like that back in 2005 and is still like that today.
  6. 2010
    Internet television should make it big in this hype cycle by 2020 at the latest. Media libraries, YouTube and streaming platforms are fueling this trend, which is currently on the way to mass suitability.
  7. 2011
    Gartner has been dealing with the topic of "virtual worlds" since the trend towards second life in 2007 and 2008. From 2012 it will move into the "valley of disillusionment" as "virtual reality", where it has remained until today.
  8. 2012
    After having been an intangible trend for many years, "Predictive Analytics" reached the "productivity plateau" by 2012 at the latest.
  9. 2013
    After its peak in 2011, in-memory computing set out to dampen the exaggerated expectations of data processing directly in main memory - productive use is getting closer.
  10. 2015
    The Hype Cycle 2015 takes a close look at 37 technology trends. In the Internet of Things, CIOs will now have a new customer group in the future: things like robots and smart machines. Big data and in-memory can no longer be found in the curve, however; Gartner now considers these technologies to be established.
  11. 2016
    While augmented and virtual reality are slowly developing into the productive area in 2016, blockchain technology is experiencing a rapid rise. Machine learning and software-defined security are at the height of exaggerated expectations.
  12. 2017
    The blockchain will also play a role in 2017 - but now it's about the exaggerated expectations of the new type of database. While ten years ago (2007) it was about 3D printing, Gartner is now writing about 4D printing.
  13. 2018
    In 2018, Gartner sees the hype cycle in the mega trend man and machine. The lines between the two are blurring, according to the analysts. Therefore it is about neuromorphic hardware and brain-computer interfaces.
  14. 2019
    The interaction between man and machine and the integration of artificial intelligence are the focus of Gartner's Hype Cycle for Emerging Technologies 2019. The US market researchers provide forecasts for 29 technology trends for the next ten years.
  15. 2020
    In the current Hype Cycle for Emerging Technologies, Gartner has filtered out of more than 1,700 technologies those 30 that, from the perspective of the analysts, offer the greatest transformation potential for society and the economy and promise a high level of benefit. This year, this includes technologies that allow companies to modularize their operations, that should restore society's confidence in technology and that can change the state of the human brain.

Cloud instead of outsourcing

The subject of IT outsourcing is still on the downturn - as in the previous year. Classic outsourcing contracts, which promise guaranteed cost savings of 10 to 15 percent per year over a term of 5 to 10 years, have become the big exception. Fewer and fewer outsourcing providers are accepting classic contracts with guaranteed cost savings because the financial risk has simply become too great from the provider's point of view.

Rather, there is a growing demand for flexible cloud solutions, which are now increasingly being provided locally from Germany and which make it possible to respond to short-term changes in demand by adjusting consumption accordingly.

Question 3: What will be the biggest climber in the coming years? Will there be a surprise climber?

Perhaps a little surprising in the age of cloud and SaaS, the topic of software design and development is actually gradually developing into a strategic differentiating factor for companies. However, this does not mean the development and implementation of individual software for internal business processes.

Rather, companies such as General Electric, Siemens or Robert Bosch are increasingly using their own software and data platforms as the basis for orchestrating new products and services. An important aspect is the openness of these platforms - for example through the use of open source technologies - as well as networking with innovation partners and customers.

Completely changed customer behavior

This change is driven by ever shorter product life cycles and completely changed customer behavior, which no longer measures the value contribution of products and services on the basis of performance, but on the business results achieved. Control over the relevant data and software ecosystems will therefore become the strategic anchor for the digital business models of the future.

In this context, CIOs will not lead the developments in these software and data platforms. However, your task as orchestrator of the underlying infrastructure and security mechanisms is no less strategic.

Top 10 list of the most important trends of 2016

  1. Digitization of processes, products and services

  2. Digital skills - new methods, processes and personnel

  3. Internet of Things

  4. Governance and control of digital change

  5. Data security

  6. Data Services (data analysis and exchange between business partners)

  7. ConsolidationConsolidation of legacy applications and data centers Everything about consolidation on CIO.de.

  8. Service orchestration

  9. Cloud and SaaS migration

  10. Mobile solutions (apps and devices)

All Forrester's predictions for 2016 can be found here:Forrester Predictions 2016

  1. The IT trends 2020
    The recruiter Robert Half asked around 200 German CIOs and CTOs about their outlook for 2020. The result of the "Workplace Survey 2014": the work is becoming more, the search for employees more difficult.
  2. Bigger teams
    Most respondents expect IT teams to be bigger in 2020. Almost one in five expects up to 30 percent more employees.
  3. More and bigger projects
    Many respondents expect that in five years' time they will have to tackle not only more, but also larger projects.
  4. Change of employees
    Almost every second person expects more employee turnover.
  5. Generation Y
    Almost one in two fears that their company will not be able to meet the demands of Generation Y in terms of salaries and social benefits.
  6. priorities
    When asked about the most important priorities in five years, the respondents first named IT infrastructure and data quality. Not even one in ten wants to expand their role as a driver of IT projects.
  7. Martin Schramm from Robert Half Technology
    Martin Schramm is Vice President at Robert Half Technology. About the priorities of the CIOs for 2020, he says: "In our daily contact with IT managers, we have found that CIOs want to establish their teams even more strongly as business partners in the future. For this, it is important that IT departments fundamentally understand the corporate goals support by implementing the right IT infrastructure or ensuring good data quality. Therefore, IT departments tend to consolidate themselves as a whole rather than seeing themselves as drivers of IT projects. "