The digital revolution is multi-faceted. We have therefore decided to focus on internet access, long viewed as a luxury across the continent, but a crucial spur to economic growth. For the formal sector, access to the internet has the potential to boost labour productivity and help deliver services faster and in a more efficient manner.
For households, this can mean the difference between access to business opportunities and the ability to grow subsistence/small-scale businesses into emerging organisations. The number of smallholder farmers that are harnessing the power of mobile internet access is growing by the day. One particular example is Twiga Foods, a Kenyan mobile platform that sells bananas and other produce from small-scale farmers to local vendors, giving farmers who were once restricted to selling their produce to those in their local communities access to more consumers. Besides earning more for their crops, farmers can increase the productivity of their farms as they receive technical advice and financial offerings geared to their specific needs. On the other end of the supply chain, vendors benefit from fast, free delivery of produce.
Jumia, Africa’s first technology unicorn, is a good example of businesses that are benefitting from rapid growth in digitisation. The Harvard Business Review estimates that mobile data traffic is set to increase sevenfold between 2015 and 2022. Jumia boasts four million users from 14 African countries against a backdrop of 122 million active users of mobile financial services in Africa.
While access to the internet has improved gradually since 2000, there is still a vast gap betwen universal internet access standards and those of Africa. The International Telecommunications Union (ITU) notes that 25% of Africans have access to the internet relative to the global average of 55% (Figure 5.1).
Figure 5.1: Internet access in Africa vs. the rest of the world (% of population)
Source: ITU, RMB Global MarketsFigure 5.2 highlights the difference in internet penetration between the most connected country relative to the least over time. What is evident is that while most countries are on an upward trajectory, there are countries such as Somalia whose internet penetration level has averaged 1% since the turn of the millennium. This is in stark contrast to a country like Morocco whose internet penetration has increased from less than 1% in 2000 to the current 60%.
Figure 5.2: Trends in disparity between African countries (%)
Note: Best and worst countries’ change over time
Source: ITU, RMB Global MarketsInternet usage is particularly low in landlocked countries, where the physical infrastructure is costlier, and access is also more dependent on neighbouring countries.
Figure 5.3: Internet usage by country (%)
Source: ITU, RMB Global MarketsFor businesses whose operations depend on internet connectivity, coastal countries would be more attractive for expansion given the lower cost implications compared to landlocked countries.
However, it is encouraging to note that the cost of data relative to household incomes is dropping as competition among internet service providers (ISPs) intensifies across the continent (Table 5.1).
Table 5.1: Average price of 1GB of data relative to monthly income
| 2015 (%) | 2017 (%) | Percentage point change | Percentage point difference from global average | |
|---|---|---|---|---|
| Benin | 16.60 | 10.80 | -5.80 | 5.34 |
| Botswana | 5.74 | 2.19 | -3.55 | 3.27 |
| Burkina Faso | 15.45 | 14.16 | -1.29 | 8.70 |
| Cameroon | 12.27 | 6.35 | -5.92 | 0.89 |
| Côte d’Ivoire | 7.23 | 7.01 | -0.22 | 1.55 |
| Egypt | 1.19 | 0.33 | -0.86 | 5.13 |
| Ethiopia | 19.63 | 9.65 | -9.98 | 4.19 |
| Gambia | 14.12 | 15.31 | 1.19 | 9.85 |
| Ghana | 3.89 | 3.56 | -0.33 | 1.90 |
| Kenya | 9.72 | 4.01 | -5.71 | 1.45 |
| Malawi | 35.96 | 17.85 | -18.11 | 12.39 |
| Mali | 19.37 | 21.04 | 1.67 | 15.58 |
| Mauritius | 1.12 | 1.01 | -0.11 | 4.45 |
| Morocco | 2.05 | 2.21 | 0.16 | 3.25 |
| Mozambique | 11.94 | 9.43 | -2.51 | 3.97 |
| Namibia | 2.69 | 4.66 | 1.97 | 0.80 |
| Nigeria | 6.54 | 1.59 | -4.95 | 3.87 |
| Rwanda | 20.16 | 3.87 | -16.29 | 1.59 |
| Senegal | 10.20 | 5.23 | -4.97 | 0.23 |
| Sierra Leone | 51.89 | 20.80 | -31.09 | 15.34 |
| South Africa | 2.48 | 2.50 | 0.02 | 2.96 |
| Sudan | 0.99 | 4.41 | 3.42 | 1.05 |
| Tunisia | 1.56 | 1.37 | -0.19 | 4.09 |
| Uganda | 27.71 | 16.20 | -11.51 | 10.74 |
| Zambia | 14.94 | 12.25 | -2.69 | 6.79 |
| Zimbabwe | 44.68 | 32.97 | -11.7 | 27.51 |
| Africa | 12.47 | 8.76 | 3.71 | -3.3 |
| Global average | 7.80 | 5.46 | 4.56 |
The data in Table 5.1 suggests that affordability is improving across the continent, with a near 3.7ppt drop in the cost of data relative to income. Encouragingly, almost half of the 27 African countries surveyed in this study are below the global average. Some countries such as Zimbabwe and Mali are still significantly above the global average, but the rate of decrease is encouraging.
In 2019’s Where to Invest in Africa, we focused on infrastructure quality and trends across the continent and we noted that aspects such as power availability were a key enabler for most industries to flourish. This also applies to internet usage as there is a positive relationship between power consumption (kWh/Capita) and internet penetration (Table 5.2).
Regions with significant power projects underway, like in East Africa for instance, are likely to see internet usage rise over time.
Table 5.2: Electricity consumption relative to internet penetration
| Penetration (%) | KWh/capita | |
|---|---|---|
| Niger | 10.22 | 51.44 |
| Ethiopia | 18.62 | 69.72 |
| Benin | 14.12 | 100.23 |
| Congo | 8.65 | 108.58 |
| Nigeria | 27.68 | 144.48 |
| Togo | 12.36 | 152.72 |
| Kenya | 17.83 | 166.74 |
| Sudan | 30.87 | 190.22 |
| Senegal | 29.64 | 223.50 |
| Côte d’Ivoire | 43.84 | 276.15 |
| Cameroon | 23.20 | 280.67 |
| Angola | 14.34 | 312.48 |
| Ghana | 37.88 | 354.71 |
| Mozambique | 20.77 | 462.62 |
| Zimbabwe | 27.06 | 537.00 |
| Zambia | 27.85 | 707.19 |
| Morocco | 61.76 | 901.13 |
| Gabon | 50.32 | 1,172.89 |
| Algeria | 47.69 | 1,356.26 |
| Tunisia | 55.50 | 1,444.11 |
| Namibia | 36.84 | 1,584.57 |
| Egypt | 44.95 | 1,657.77 |
| Botswana | 41.41 | 1,748.62 |
| Libya | 21.76 | 1,857.16 |
| Mauritius | 55.56 | 2,182.51 |
| South Africa | 56.17 | 4,198.40 |
Libya stands out as an anomaly, with high electricity consumption but low internet penetration. This can be partly attributed to the petroleum industry (Libya’s main export is oil) which consumes a lot of power, but penetration is low because of what the Freedom House notes as “repeated shutdowns to internet service due to vandalism and politically-motivated attacks on telecommunications infrastructure”.
Electricity is merely one of the structural issues identified by the Internet Society (an American non-profit organisation that provides leadership in internet-related standards, education, access, and policy) to promote connectivity and usage. Their recommendations toward a more integrated and advanced internet sector across Africa are:
Ensure that broadband is available, affordable, and there is sufficient bandwidth for new services. This requires several steps:
Policy should promote private investment in access networks. For instance, removing undue restrictions on FDI in telecom operators, while also engaging a country’s investment promotion agency to encourage investment in the digital economy.
Where private investment is not likely, other approaches — including support for community networks or public investments — should be considered. These could potentially include public-private partnerships.
Data centers can benefit from a number of factors similar to the ones detailed above, such as access to affordable and reliable sources of power, lower import taxes, and favorable investment policies. In addition, a number of other factors are important:
The fourth Industrial Revolution represents a significant shift in the way in which the global community lives, relates and conducts business.
The schematic below presents the timelines and focal points of revolutions past:
Figure 5.4: Industrial Revolutions
| First IR: Mechanisation of production | Second IR: Mass production | Third IR: Computing technologies | Fourth IR: Digital revolution |
An Industrial Revolution (IR) is an epoch that has been shaped by advancements in technology. The fourth IR is characterised by the scalability of digital and computing power, which has created new industries and reshaped old ones.
Given that Africa had limited success in capitalising on the second and third revolutions, the continent cannot afford to miss the fourth one’s bandwagon.
The fourth IR is different in that while earlier revolutions saw technology replacing skilled workers (e.g. artisans in textile factories replaced by power looms) and complementing low-skilled workers (e.g. the steam engine), fourth IR technologies tend to replace lower-skilled workers while complementing higher-skilled workers. For example, in our view, there are three opportunities that Africa can take advantage of:
The fourth IR and cloud computing seem like a match made in heaven. Cloud technology goes beyond the ability to store data at scale; it encompasses the ability to analyse data flow in real time, prediction and artificial intelligence (AI). No matter what the industry, cloud technology will act as a critical enabler by providing the means for businesses to create new technologies. In a KPMG survey, Journey to the Cloud, the top two reasons for adopting cloud computing are to improve agility and foster innovation (Figure 5.5).
Figure 5.5: Reasons for adopting cloud computing (% of respondents)
Source: KPMGA notable example of how improved agility and responsiveness is beneficial for organisations is customised ads. Through our preference and search history, companies are better able to narrow down and target users that have shown interests in their product — this has increased the potential of converting advertising revenue budgets into actual sales. Jumia, mentioned earlier, benefits greatly from this.
Despite the potential benefits that come with cloud computing, it is somewhat disconcerting that the largest cloud infrastructure vendors — Amazon Web Services (AWS), Microsoft Azure and Google Cloud — barely have any notable presence on the continent.
Table 5.3: Cloud locations around the world
| Microsoft Azure | ||
|---|---|---|
| Current | ||
| Abu Dhabi | Beijing | Berlin |
| Busan | California | Canberra |
| Cardiff | Chennai | Dubai |
| Frankfurt | Geneva | Illinois |
| Ireland | Johannesburg | London |
| Magdeburg | Marseille | Mumbai |
| Netherlands | New South Wales | Osaka |
| Paris | Pune | Quebec City |
| São Paulo | Seoul | Shanghai |
| Singapore | Texas | Tokyo |
| Toronto | Victoria | Virginia |
| Washington | Wyoming | Zurich |
| Planned | ||
| Norway | ||
| Amazon | ||
|---|---|---|
| Current | ||
| Bahrain | Beijing | Frankfurt |
| Hong Kong | Ireland | Jakarta |
| London | Mumbai | Ningxia |
| Northen Virginia | Northern California | Ohio |
| Oregon | Paris | São Paulo |
| Seoul | Singapore | Stockholm |
| Tokyo | ||
| Planned | ||
| Cape Town | Milan | |
| Current | ||
|---|---|---|
| Belgium | Frankfurt | Hong Kong |
| Iowa | Las Vegas | London |
| Los Angeles | Montreal | Mumbai |
| Netherlands | Northern Virginia | Oregon |
| Osaka | São Paulo | Singapore |
| South Carolina | Sydney | Taiwan |
| Zurich | ||
| Planned | ||
| Jakarta | Los Angeles | Oregon |
| Seoul | ||
For most countries, low broadband speeds in conjunction with the high cost of data are the biggest constraints for companies to effectively use cloud services. This is part of the reason why only 1% of estimated global public cloud services revenue was generated from Africa in 2018. The preference of some African governments for a more centralised and monitored model of internet usage is a significant constraint as data security and uninterrupted connectivity are key requirements for businesses.
However, things could be changing. Xalam Analytics, a US-based research firm, explored the cloud-readiness of 25 African firms and noted that South Africa is significantly readier than most African countries, with Mauritius, Kenya, Tunisia and Morocco considered at the cusp of cloud-readiness.
According to Xalam Analytics, the cloud market has been growing at a rate of approximately 30% annually over the past three years — more than 25ppt higher than the average GDP growth rate for Africa. Moreover, top-line revenue from cloud services is expected to double over the next five years, to nearly US$4bn. Revenue from African-based public cloud services in particular is projected to triple over the same period. Huawei recently noted that it would launch cloud services in South Africa, following the footsteps of Microsoft’s Azure who recently launched in South Africa as well.
The upside potential in this space for Africa is unmistakable. For businesses looking to expand to the rest of the continent, the potential for using cloud-based services is certainly rising.
As with any budding industry, there are barriers to entry that hinder the rate of progress. We’ve mentioned affordability as a primary deterrent to internet connectivity, but the challenge is multi-faceted as infrastructural, legislative and literacy hurdles have to be jumped. Granted, there are pockets of success across the continent, with over 50% of Africa’s tech hubs located in South Africa, Kenya, Nigeria, Egypt and Morocco. However, this is an exceptionally small grouping. Impediments need to be addressed to enable a larger proportion of countries to achieve the level of international internet connectivity that can enable growth and development.
Data costs are without question the leading inhibitor to digital access and innovation in Africa. It is evident from Table 5.1 that the cost of mobile data in Africa as a proportion of monthly income is expensive relative to the global average, impacting not only consumers but SMEs. The differences in the average price of 1GB of data (in US dollar terms) is as stark across regions, with the variance between Rwanda and Djibouti, for example, in excess of US$37.00 (Figure 5.6).
Figure 5.6: Average cost of 1GB of mobile data (US$)
Note: Cost of 1GB in Zimbabwe is calculated in local US dollar terms, which might exaggerate the cost. Euro-linked jurisdictions have been converted to US dollar equivalents
Source: cable.co.zaWhy the difference? A lack of competition in mobile network providers has in many cases perpetuated high costs. Apart from Ethio Telecom in Ethiopia where the mobile network operator (MNO) is government-owned and prices are controlled, the proliferation of private MNOs across the continent has challenged conventional structures, resulting in reduced prices. In a recent study, Ecobank revealed that there is an inverse relationship between the number of MNOs in an African country and the average price of a gigabyte of data (Figure 5.7). Despite a few exceptions, where MNOs have maintained higher prices in countries with relatively low-income levels and high proportions of rural consumers, the figures show that for those countries with greater competition among MNOs, prices for mobile data are generally cheaper.
Figure 5.7: Number of MNOs in a country vs. the price of 1GB of mobile data
Source: EcobankLow income and affordability are challenges common to both users and non-users. The Mozilla commissioned a study on internet usage barriers and user strategies across four African economies (Kenya, Nigeria, South Africa and Rwanda), and found that there is a trade-off to be made by low-income individuals between buying data and using that money for necessities. Where data is prioritised, short-term data bundles (which are more affordable) are preferred, but those need to be replenished frequently, which often negates the cost-saving incentive of purchasing larger bundles. The problem extends beyond the cost of internet access to include the price of internet-enabled mobile devices. Buying or replacing an existing phone with one that is web-enabled is perceived as costly and onerous for rural users, and non-users and can be restrictive in instances where data is required for activities such as online learning.
Facebook, Google and the Kenyan BRCK — the largest public WiFi network in SSA — provide inexpensive internet access to millions of Africans. There is also much to be said on the importance of fibre-optic cables. Since SEACOM introduced the first private high-speed subsea cable system along the eastern and southern coastlines in 2009, there has been tremendous growth in the provision of undersea networks as the realisation of the inadequacy of one international connection in enabling a digital economy took root. The launch of the South Atlantic Cable System (SACS), which connects Africa with South America, was of particular importance, offering alternative, lower-latency routes to the Americas. The participation of smaller undersea cable initiatives, including Cap Amílcar Cabral, Ceiba-2, METISS, and Ultramar-GE, reflects an evolving market where smaller countries that were excluded from the first wave of undersea cable investments are seeking to connect to larger cable initiatives. Google and Facebook’s investments into new cables with multiple landing points across Africa’s coastline are not to be overlooked — the projects are expected to increase bandwidth and progressively reduce internet data prices over time. It follows that these types of initiatives need to be extended to enable wider accessibility, necessitating further investment.
The question of limited internet connectivity is not one that is unique to users. It is as important to discern why non-users find little value in the internet. McKinsey identifies four distinct challenges (Table 5.4).
Table 5.4: Barriers facing non-internet users
| Incentives | Low income and affordability | User capability | Infrastructure |
|---|---|---|---|
| Barriers directly affecting consumers | |||
| Lack of awareness of internet or relevant use cases | Low income or consumer purchasing power | Lack of digital literacy | Lack of mobile internet coverage or network access |
| Lack of relevant (e.g. local, localised) content and services | Total cost of ownership for device | Lack of language literacy | Lack of adjacent infrastructure (e.g. grid electricity) |
| Lack of culture or social acceptance | Cost of data plan | ||
| Consumer taxes and fees | |||
| Root causes (e.g. providers, government/regulatory, industrial) | |||
| High content provider costs and business model contraints | Challenging national economic environment | Under-resourced educational system | Limited access to international >bandwidth |
| Low awareness or interest from brand and advertisers | High device manufacturer costs and business model constraints | Underdeveloped national core network, backhaul and access infrastructure | |
| Lack of a trusted logistics and payments system | High network operator costs and business model constraints | Limited spectrum availability | |
| Low ease of doing business | High provider taxes and fees | National ICT strategy that doesn’t effectively address issue of broadband access | |
| Limited internet freedom and information security | Unfavourable market structure | Under-resources infrastructure development (e.g. FDI limits) | |
Ironically, many of these barriers are experienced by both users and non-users. In fact, McKinsey’s findings regarding incentives and user capability are borne out by the Research ICT Africa’s (RIA) After Access Survey for 2018, which shows that the low level of internet usage in Africa is largely due to a lack of awareness and education.
A lack of digital and language literacy is cited as an inhibiting factor across multiple surveys on connectivity globally. A knowledge deficit with respect to accessing and navigating the internet, especially on different devices, is often the leading reason that individuals do not partake in the digital economy. Of the respondents in ten countries (with an average GDP per capita of US$1,340 in nine countries, with the exception of South Africa) surveyed by the RIA, 31% were quoted as not knowing what the internet is, while 16% said that they do not know how to use it (Figure 5.8).
Figure 5.8: Barriers to internet use (% of respondents)
Source: Research ICT AfricaMcKinsey advises that “more intuitive mobile applications, services with simple graphical interfaces, and stronger local language support could significantly reduce the language and digital literacy barriers to internet adoption in countries with these issues”.
In addition to affordability and digital literacy, there are concerns regarding content and its appropriateness to users. The ability to offer relevant subject matter in a multitude of languages is appealing to multi-cultural African societies — yet this is often absent, resulting in lower usage. The Internet Society, in its report on Promoting the African Internet Economy, believes that there are two distinct keys to enabling relevant content: infrastructure to host it and strong policies to verify how it is regulated.
With respect to content management, internet usage in Africa is driven by the high demand for social media (Figure 5.9). The 2017 After Access Survey shows that of the 77 million African internet users counted, 70 million are on social media (Facebook, WhatsApp or Twitter), which represents 90% of internet users.
Figure 5.9: Internet use in selected African countries
Source: RIASocial media is commonly accepted as a tool for information dissemination, but fake news is a product of the digital age where misleading information can be easily spread to audiences at a rapid pace. Accessibility to private information is as alarming, with physical security, financial fraud, hacking, harassment, slander, stalking and surveillance all cited as disturbing factors by every respondent to the Mozilla study, more so among urban and peri-urban audiences. These factors impact on the right to privacy, especially in instances where there is a high level of legislated surveillance. In South Africa for example, there are legal ramifications for contravening copyright laws, the Consumer Protection Act or for making malicious statements. The strict parameters applied to social media posts can increase the ratio of non-users to users.
An associated barrier is the cost and speed of content delivery. The absence of reliable data centres and routers throughout the continent undermines distribution as information is often run through internet exchanges located in Europe or North America before being delivered to the country of intent. The benefit of local content is evidenced in Rwanda where there has been increased usage of websites with a Rwandan country code top-level domain (ccTLD).
In a case study conducted by the Internet Society on the benefits of hosting local content in Rwanda between 2016 and 2017, it was found that the number of websites using the .rw extension increased by 3.7% over one year from 11.2% to 14.9%, which seems small but is significant considering the low base. Kooba, a data centre in East Africa tasked with hosting and delivering data, is an example of a regional provider that offers savings in latency and cost but still lacks meaningful scale to extend to other regions.
Realising a greater level of integration into the global digital economy requires more than just access and connectivity but a concerted effort to apply meaningful policies which allow public and private-sector participation. The need for government-led cyber strategies is of utmost importance to secure Africa’s online ecosystem. But the WEF highlights the continent’s vulnerability by noting that a mere 20% of African countries have established a legal framework for cybersecurity, while just 11 countries have adopted substantive laws on cybercrime. Even though 38 of 44 countries measured by the International Telecommunications Union’s Global Cybersecurity Index (GCI) have cybercrime legislation, the adaption and enforcement thereof often lag the pace of digital advancement.
Only Mauritius, Egypt, Kenya and Rwanda are measured by the 2018/2019 GCI survey to demonstrate the highest level of commitment to legal, technical, organisational, capacity building and cooperative aspects of cybersecurity. Worryingly, 34 African countries are at the other end of the spectrum, displaying low levels of dedication to these pillars.
Figure 5.10: Heatmap of geographical commitment to cybersecurity
Source: International Telecommunication UnionTo facilitate a more uniformed approach toward cyber governance, the AU adopted the Convention on Cyber Security and Personal Data Protection in 2014. But this initiative has proved unsuccessful as only nine of the 55 members have signed the accord, reflecting a lack of political will to enforce the convention. Harmonised policies and legal frameworks would certainly assist governments with a low level of commitment to draft national frameworks that encompass good governance, promote an agile regulatory system and protection of online privacy, but this demands pragmatism on the part of African governments.
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