The partnership between Siemens Digital Industries Software and Redington is about more than distributing engineering applications in six African countries. It is an attempt to build a commercial route into one of the continent’s most difficult markets: industrial technology.
The agreement gives companies in Egypt, Kenya, Ethiopia, Nigeria, Morocco and Tanzania access to Siemens Xcelerator, including Teamcenter for product lifecycle management, Designcenter for product design and engineering, and Simcenter for simulation and testing. Siemens also brings digital twin and industrial artificial intelligence capabilities into the offering.
For African manufacturers, the attraction is straightforward. Software can reduce the cost of designing products, identify engineering problems before physical production, improve maintenance planning and connect information across the product lifecycle.
For Siemens and Redington, however, the commercial opportunity is larger. Africa needs to raise manufacturing productivity while dealing with expensive energy, weak infrastructure, fragmented supply chains, limited access to finance and shortages of specialised technical skills. Industrial software cannot solve all of those problems, but it can reduce some of the costs associated with poor information, inefficient engineering and avoidable production failures.
That makes the Siemens-Redington partnership an important development in Africa’s industrial software market.
Africa’s Manufacturing Problem is Fundamentally a Productivity Problem
Africa has made progress in manufacturing, but the continent still occupies a small position in global industrial production.
The African Development Bank’s 2025 Africa Industrialisation Index says manufacturing value added increased from about $285bn in 2020 to $351bn in 2025. Yet Africa still accounted for less than 2 percent of global manufacturing output and about 1.4 percent of global manufacturing exports.
The World Bank describes the problem in similar terms. Its recent analysis says manufacturing employment in sub-Saharan Africa increased from about 6mn people in 2000 to 20mn in 2018, while manufacturing’s contribution to GDP moved only modestly from 12.1 percent to 11.5 percent. The institution describes the situation as incomplete industrialisation rather than a simple collapse of manufacturing.
This distinction is important for technology companies.
African factories do not simply need more machines. They need better use of existing machines, better engineering processes, stronger supplier networks, better quality control and more reliable production data.
That is where industrial software enters the equation.
A manufacturer that can create a virtual model of a production line before installing equipment can identify design problems earlier. An engineering team that can simulate the behaviour of a component can reduce the number of physical prototypes required. A company that can manage product information centrally can reduce duplication and improve collaboration between engineering, procurement and production teams.
The economic value comes from reducing waste and increasing the amount of output generated from existing capital.
Why Siemens is Taking the Software Route
Siemens has spent years moving beyond its traditional industrial equipment business towards software, automation and digital services.
The company’s acquisition of Altair Engineering in 2025 is central to that strategy. Siemens completed the transaction for an enterprise value of approximately $10bn, adding simulation, high-performance computing, data science and artificial intelligence capabilities to its industrial software portfolio.
The Altair acquisition gives greater context to the Redington agreement.
Siemens is not entering Africa with a narrow CAD software proposition. It is taking a broader industrial technology platform to the market, combining engineering, simulation, lifecycle management, digital twins and industrial AI.
That creates a potentially deeper relationship with manufacturers because the software can sit across several stages of industrial activity.
Cobus Oosthuizen, Siemens Digital Industries Software’s vice-president and managing director for Africa and the Middle East, said the partnership with Redington would allow Siemens to respond to “the surging demand for digitalization across Africa”. He also pointed to Redington’s previous distribution experience with Altair simulation tools.
That comment reveals the commercial logic.
Local distribution is not merely about putting software on a reseller’s catalogue. Industrial software requires implementation, technical support, training and integration with existing systems. Redington’s regional network can potentially reduce the distance between Siemens’ global technology and African customers.
The Six-country Strategy is Commercially Deliberate
The initial markets are Egypt, Kenya, Ethiopia, Nigeria, Morocco and Tanzania.
They represent different industrial structures and different levels of digital maturity, which makes the partnership more than a single-country expansion strategy.
Nigeria provides a large industrial and commercial market, with opportunities in manufacturing, oil and gas, construction, food processing, automotive activities and industrial services.
Egypt has one of Africa’s largest manufacturing bases and strong industrial links to Europe and the Middle East.
Morocco has developed substantial automotive and aerospace manufacturing ecosystems.
Kenya provides an important East African commercial and technology hub.
Tanzania has opportunities across mining, agriculture, manufacturing and infrastructure.
Ethiopia offers a large domestic market and an industrial policy agenda that has included manufacturing, industrial parks and export-oriented production.
Siemens itself identifies sectors including oil and gas, mining, agriculture and aerospace as areas where African enterprises can access its Xcelerator portfolio through the agreement.
The selection therefore provides Siemens with exposure to several industrial use cases rather than relying on one sector.
What the Software actually Changes inside a Factory
The value proposition becomes clearer when the individual technologies are separated.
Teamcenter: Managing the Product Lifecycle
Teamcenter is Siemens’ product lifecycle management platform.
Its role is to bring product information, engineering data and lifecycle processes into a connected environment.
For a manufacturer, this can mean better control over engineering changes, product documentation, design information and collaboration between departments.
The commercial benefit is not glamorous. It has fewer information errors, less duplicated work and better control of complex products.
As African manufacturers become suppliers to multinational companies, those capabilities become more important because international customers increasingly require documentation, traceability, quality systems and reliable engineering processes.
Designcenter: Turing Engineering into a Digital Process
Designcenter provides product design and engineering capabilities.
Siemens describes its platform as connecting design with simulation, manufacturing and lifecycle management. Its digital twin capabilities allow engineers to develop virtual representations of products and systems before physical production.
This changes the economics of experimentation.
A physical prototype requires materials, labour, equipment and time. A digital model can be modified repeatedly before a company commits to manufacturing.
That does not eliminate physical testing. It allows manufacturers to move more of the expensive trial-and-error process into software before committing capital.
For African manufacturers operating under tight cash-flow conditions, that distinction can be commercially valuable.
Simcenter: Reducing Physical Trial and Error
Simcenter provides simulation and testing tools.
Siemens says the platform connects computer-aided design, engineering analysis and product lifecycle management through a digital thread.
Simulation can allow an engineering team to examine how a product behaves under different conditions before building multiple physical versions.
For automotive components, machinery, industrial equipment, energy systems and aerospace applications, that can reduce development time and improve design decisions.
The benefit becomes even greater when simulation is combined with high-performance computing and AI.
That is one reason the Altair acquisition is relevant to African expansion.
Digital Twins could Become the Bigger African Opportunity
The most commercially interesting element of the Siemens proposition may be the digital twin.
A digital twin creates a virtual representation of a physical product, machine, process or production system.
The concept is more useful than the terminology sometimes suggests.
Consider a manufacturing plant that wants to install a new production line. Instead of relying entirely on physical installation and subsequent adjustments, engineers can model the proposed system, simulate production conditions and identify possible bottlenecks.
The same principle can apply to machinery maintenance.
If operational data shows that a machine is behaving differently from its normal pattern, industrial AI can potentially identify a developing problem before a breakdown occurs.
Siemens says its AI-powered digital twin approach combines physics-based simulation with real-time operational data to create continuously updated representations of physical systems.
The financial implication is potentially larger than the software licence itself.
Unplanned downtime can interrupt production, delay deliveries and damage customer relationships. A system that helps reduce avoidable downtime can therefore produce value through several channels.
The challenge is proving that value at the individual factory level.
Industrial AI needs to Move Beyond the Marketing Language
Artificial intelligence is increasingly attached to industrial technology products, but African manufacturers will ultimately judge industrial AI through operating results.
A factory manager does not need an AI demonstration for its own sake. The relevant questions are whether the system reduces downtime, lowers scrap rates, improves production planning, reduces energy consumption, improves quality or allows engineers to develop products faster.
That is why Siemens’ combination of industrial AI, simulation and digital twins is commercially relevant.
The technologies can operate as parts of a wider industrial system rather than as isolated AI applications.
Siemens has also expanded its industrial AI strategy through partnerships with Nvidia. The companies say they are developing an Industrial AI operating system that connects AI across design, engineering, production, operations and supply chains.
For African businesses, the immediate opportunity may not be the most advanced version of this vision.
The practical starting point is likely to be narrower applications such as predictive maintenance, engineering simulation, production optimisation and digital product development.
Redington is the Commercial Bridge
The partnership would be harder to execute through direct global sales alone.
Industrial software is different from conventional enterprise applications. Customers need people who understand their equipment, engineering processes, procurement structures and local business environment.
Redington says it operates across more than 40 markets, with more than 440 technology brand associations and more than 70,000 channel partners.
That distribution infrastructure gives Siemens access to an established technology ecosystem.
Sayantan Dev, chief executive of Redington’s Software Solutions Group, described the strategy as bringing industrial AI and digital twin capabilities closer to African enterprises and helping organisations apply them at scale.
The important phrase is “at scale”.
Selling a handful of large licences to multinational manufacturers would create revenue, but it would not create a broad African industrial software market.
The larger opportunity is to develop local implementation partners, train engineers, build systems integrators and create financing models that allow mid-sized manufacturers to adopt the technology.
The Financing Question could Determine Adoption
Industrial software can create productivity gains, but licence fees are only one component of the investment.
A manufacturer may need new computers, cloud infrastructure, sensors, connectivity, cybersecurity, data storage, consultants, integration services and employee training.
This creates a financing problem.
Large multinational manufacturers may be able to absorb the cost. Smaller African manufacturers often cannot.
The World Bank has repeatedly identified finance, infrastructure, technology adoption and skills as constraints on African firms. Its research also links greater participation in regional and global value chains with higher productivity.
A commercially viable African industrial software strategy therefore needs more than distribution.
It needs flexible licensing, cloud delivery, managed services, implementation packages and potentially financing through banks, development finance institutions and industrial programmes.
This is where Redington’s broader technology ecosystem could become useful.
Instead of selling software as a stand-alone product, the ecosystem could package software, infrastructure, training, cloud services and support into an operating solution.
That would reduce the initial capital burden for customers.
Nigeria could be a Particularly Important Market
Nigeria deserves special attention because of the scale of its industrial base and the diversity of sectors that could use engineering software.
Manufacturers face high energy costs, foreign exchange volatility, logistics challenges and pressure to improve local production.
Digital engineering cannot solve those structural constraints.
A simulation platform will not fix an unreliable electricity supply. A digital twin cannot repair a damaged road. Industrial AI cannot substitute for working capital.
But software can help companies manage what they can control.
A manufacturer can simulate a production process before spending scarce capital. Engineers can manage product data more efficiently. Maintenance teams can use operational information to prioritise interventions. Companies can improve documentation required by larger customers.
These are incremental productivity gains, but thousands of such improvements can influence industrial competitiveness.
The Infrastructure Constraint Remains
There is a risk of treating industrial digitalisation as if it occurs independently of basic infrastructure.
It does not.
The International Telecommunication Union says Africa has made progress in broadband, but affordability, infrastructure and digital skills remain major constraints. Its 2025 data show that internet use in Africa remained at just over one-third of the population, with large differences between countries and income groups.
Industrial software requires dependable connectivity when organisations use cloud platforms, collaborate across locations or transmit large engineering datasets.
It also requires reliable electricity and computing infrastructure.
The World Bank identifies energy and digital systems as foundational infrastructure for productive sectors and says reducing barriers to digital technology adoption can improve firm productivity, investment and employment.
This creates a two-speed market.
Large industrial clusters with strong connectivity, reliable power and technical personnel can adopt advanced industrial software relatively quickly.
Smaller firms in weaker infrastructure environments may struggle to capture the same value.
The market therefore needs technology providers to offer different deployment models rather than assuming that every African manufacturer can operate the same system.
Africa’s Industrial Software Market will Depend on Skills
Software does not create productivity automatically.
Engineers need to know how to use simulation tools. Factory managers need to understand the data generated by production systems. IT teams need to manage cybersecurity and integration. Executives need to understand how technology investment connects with production economics.
The skills gap is therefore as important as the software gap.
The World Bank has argued that African industrial policy needs stronger technology adoption, managerial capability and continuous firm learning. It also identifies technical skills as a core requirement for sectors such as manufacturing, renewable energy equipment and agro-processing.
This creates another commercial opportunity around Siemens and Redington.
Training could become a substantial part of the ecosystem.
Universities, engineering schools, technical colleges, industrial associations and professional bodies could become channels for building a workforce familiar with digital engineering.
Over time, that could produce a local talent pool capable of implementing industrial software for companies beyond the original six markets.
The AfCFTA could Increase the Payoff
The African Continental Free Trade Area offers another reason for manufacturers to invest in better production systems.
A larger regional market requires manufacturers to meet consistent standards, improve product quality and develop more competitive supply chains.
The World Bank has argued that regional integration can help transform fragmented national markets into regional production systems by harmonising customs, standards and infrastructure.
Industrial software can support that process at company level.
A manufacturer supplying customers in several countries needs stronger product information, quality control, traceability and engineering documentation.
Digital systems can make those requirements easier to manage.
The larger the regional market becomes, the greater the potential return from building production systems that can meet international standards.
The Commercial Opportunity extends Beyond Manufacturers
The partnership should not be viewed only through the factory floor.
Industrial software can support sectors such as mining, agriculture, energy, aerospace, automotive production and infrastructure.
In mining, digital models can support equipment planning and maintenance.
In agriculture, digital systems can assist equipment design, processing and production optimization.
In energy, simulation can help engineers assess equipment and system performance.
In aerospace, engineering software is already deeply integrated into product development and validation.
In automotive manufacturing, digital engineering can support everything from component design to production-line planning.
Siemens explicitly identifies oil and gas, mining, agriculture and aerospace among the African sectors that can gain access to Xcelerator through the Redington relationship.
This broad addressable market gives the partnership room to expand beyond traditional manufacturing.
The Bigger Economic Question is Value Addition
Africa’s industrial challenge is not simply to produce more goods.
It is to produce higher-value goods.
The World Bank argues that African economies need to move beyond low-complexity assembly and increase value creation through technology, supplier development and stronger participation in global and regional value chains.
That is where industrial software becomes strategically relevant.
A company that only assembles imported components captures limited value.
A company that designs components locally, develops engineering expertise, manages production data, builds supplier networks and exports finished products captures more economic value.
Software cannot create those capabilities on its own.
It can, however, provide part of the technical infrastructure required to develop them.
What Success Would Look Like
The success of the Siemens-Redington partnership should not be measured primarily by the number of software licences sold.
The more useful indicators will be operational.
African manufacturers and investors should watch for evidence of:
– lower product-development costs;
– shorter engineering cycles;
– reduced machine downtime;
– lower production waste;
– stronger local supplier capabilities;
– greater participation in international supply chains;
– increased adoption among medium-sized manufacturers;
– growth in African industrial software specialists;
– more engineering graduates trained in advanced digital tools;
– measurable improvements in manufacturing productivity.
Those indicators would provide a better measure of whether industrial digitalisation is producing economic value.
The risk of a two-tier industrial economy
There is also a clear downside.
If advanced industrial software becomes concentrated among multinational corporations and a small group of large African manufacturers, the technology could widen the productivity gap between large and small companies.
That would leave smaller firms using basic production systems while larger companies operate sophisticated digital engineering platforms.
The answer is not to slow technology adoption.
It is to broaden access.
Flexible pricing, cloud-based services, local implementation partners, training programmes and development-finance support could help extend industrial software beyond the largest corporations.
Redington’s ecosystem model could be useful here because its commercial network can potentially connect global technology vendors with local partners and customers. Siemens says the company has more than 70,000 channel partners globally and operates across more than 40 markets.
Energy Efficiency could Become another Source of Value
Energy is one of the most difficult costs for African manufacturers.
In many markets, companies rely on a mixture of grid electricity, diesel generation, gas and renewable power.
Industrial digitalisation can provide better visibility into energy consumption and production performance.
Simulation can help engineers evaluate production configurations before implementation. Digital models can allow companies to assess operating scenarios. Industrial analytics can identify inefficient processes.
The value is not limited to lower electricity consumption.
More efficient production can reduce fuel use, machine wear, production losses and maintenance costs.
For companies competing with manufacturers in Asia, Europe and other emerging markets, such savings can directly influence margins.
Industrial Software is also Becoming a Supply-chain Tool
Manufacturing is increasingly dependent on supply-chain visibility.
A production problem in one country can delay customers thousands of kilometres away.
Digital product lifecycle management can give manufacturers stronger control over design changes, documentation and product information.
This becomes particularly important as African manufacturers attempt to become suppliers to global companies.
A supplier that cannot maintain accurate engineering records or respond quickly to product changes will struggle to compete for sophisticated contracts.
A supplier with reliable digital systems can operate more effectively across borders.
That makes industrial software part of the infrastructure of global manufacturing rather than merely an engineering department expense.
Siemens is Betting on a Larger Software Economy around Africa’s Factories
The Siemens-Redington agreement arrives at a time when the economics of African digitalisation are improving, although adoption remains uneven.
GSMA estimates that mobile technologies and services contributed about $240bn to Africa’s economy in 2025, equivalent to 7.8 per cent of GDP, while supporting approximately 13mn jobs.
That does not mean mobile technology and industrial software have the same economics.
It does show that digital infrastructure is becoming increasingly embedded in African economic activity.
The next phase is likely to involve deeper digitisation of productive sectors.
That creates an opportunity for software companies that can connect digital technology directly to measurable business outcomes.
The Strategic Implication for African Investors
For investors, the most interesting part of the Siemens-Redington partnership may not be Siemens software revenue itself.
The larger opportunity is the ecosystem that could develop around it.
Industrial digitalisation requires systems integrators, cloud providers, cybersecurity companies, engineering consultancies, data specialists, technical training firms, industrial IoT providers and local software developers.
As adoption increases, those companies can become part of the industrial technology supply chain.
This could create a new category of African technology businesses positioned between traditional IT services and traditional engineering.
Such companies would help manufacturers implement digital twins, connect machines, manage industrial data and deploy AI.
The development of this ecosystem would determine whether Africa remains primarily a consumer of imported industrial technology or develops local capabilities around it.
The Next Frontier is the Mid-market
The largest African corporations are not the hardest customers to identify.
They already have capital, engineers and established technology teams.
The more difficult market is the mid-sized manufacturer.
These businesses are large enough to benefit from sophisticated engineering tools but may lack the financial resources and technical staff required for complex deployments.
That is where pricing and delivery models become crucial.
Cloud subscriptions, modular software, managed services and implementation partnerships could make advanced tools accessible without forcing smaller firms to fund large upfront projects.
If Redington can build that channel effectively, the addressable market could extend well beyond multinational companies.
A New Layer of African Industrial Infrastructure
The Siemens-Redington partnership should therefore be viewed as part of a broader change in the African manufacturing market.
The continent needs factories that can produce more efficiently, design better products, compete across borders and participate in higher-value global supply chains.
The African Development Bank estimates that manufacturing value added reached $351bn in 2025, yet Africa still represented less than 2 per cent of global manufacturing output.
That gap represents both a development challenge and a commercial opportunity.
Industrial software will not close it by itself.
Reliable electricity, transport infrastructure, finance, skilled workers, stable regulation and access to markets remain essential.
But better engineering software can help firms use those resources more efficiently.
The strategic proposition is therefore simple: Africa needs to move from adding factories to building more productive factories.
Siemens brings engineering software, simulation, digital twins and industrial AI. Redington brings distribution, implementation capacity and access to a broad technology ecosystem. African manufacturers bring the production problems that need to be solved.
The commercial question now is whether those three elements can be connected at scale.
If they can, the Siemens-Redington partnership could become more than a distribution agreement. It could contribute to the development of a wider industrial software market in Africa, where engineering data becomes a production asset, digital twins become part of factory planning and industrial AI moves from demonstration projects into daily operations.
For Africa’s manufacturers, the real prize is not digitalisation for its own sake. It is the ability to design faster, produce more efficiently, reduce avoidable costs and compete for a larger share of regional and global manufacturing value.
That is the economic case for industrial software in Africa.
