10 Fastest-Growing Jobs by 2030, and the Catch Most Lists Leave Out

The fastest-growing jobs by 2030, according to the World Economic Forum, are big data specialists, fintech engineers, AI and machine learning specialists, software developers and security management specialists, followed by data warehousing, electric and autonomous vehicle work, UI and UX design, delivery driving and Internet of Things roles (WEF Future of Jobs Report 2025).

That is the short answer. The longer, more useful answer is that “fastest-growing” here means growth in percentage terms, not in the number of people hired. A role that doubles from a small base can top the chart while adding fewer real jobs than one that grows by a modest share of a giant workforce.

I went through the report, cross-checked it against US labour data, and rebuilt this guide around that distinction, because it changes which career is actually worth your next two years.

Where do these job forecasts come from?

They come mainly from the World Economic Forum’s Future of Jobs Report 2025, published in January 2025. The report surveyed more than 1,000 large employers representing over 14 million workers across 22 industries and 55 economies (European Commission Digital Skills and Jobs Platform).

The WEF then combined those employer expectations with International Labour Organization employment data to estimate how many jobs would be created and lost.

Here is the headline.

Employers expect about 170 million new jobs by 2030, equal to 14% of today’s employment, and 92 million displaced jobs, leaving a net increase of 78 million (WEF). Taken together, that churn touches roughly 22% of today’s formal jobs.

I want to be honest about what this is. It is a survey of what large employers expect. It is not a hiring guarantee, and it says nothing about your city, your degree or your salary. The WEF itself notes that its job-level figures cover a subset of about 1.18 billion workers, not the whole global workforce (WEF).

Still, as a map of where employers are pointing their budgets, it is the best global source we have.

What does “fastest-growing” actually mean?

It means the biggest expected percentage increase between 2025 and 2030, and that detail is the catch most career lists skip. The WEF states plainly that its fastest-growing ranking is measured in percentage terms (WEF; WEF Stories, David Elliott). The original draft of this article described the ranking as “projected net growth,” which is not correct, so I have fixed it here.

Why does this matter to you? Because percentage growth flatters small professions. Big data specialists can more than double and still be a niche field. By contrast, the WEF expects farmworkers to add about 35 million jobs, while light truck and delivery drivers add 9.8 million and software developers add a net 6.7 million (Euronews). Farming alone accounts for about 45% of total net job growth in the report.

In other words, there are two questions hiding inside “which jobs are growing?” One is “where is demand rising fastest?” The other is “where will most of the openings actually be?” A smart career plan needs an answer to both.

The 10 fastest-growing jobs by 2030 at a glance

Rank	Job	Expected growth, 2025 to 2030	Main driver	First skill to learn
1	Big data specialist	+113%	AI and data processing	SQL
2	Fintech engineer	+93%	Digital payments and banking	A backend language plus APIs
3	AI and machine learning specialist	+82%	AI adoption	Python and statistics
4	Software and applications developer	+57%	Broadening digital access	One programming language, deeply
5	Security management specialist	+53%	Geopolitics and tech risk	Networking basics
6	Data warehousing specialist	+49%	Data consolidation	SQL and data modelling
7	Autonomous and electric vehicle specialist	+48%	Energy transition, robotics	Electrical and embedded systems
8	UI and UX designer	+48%	Digital products everywhere	User research and Figma
9	Light truck or delivery driver	+46%	E-commerce	A clean licence and route skills
10	Internet of Things specialist	+42%	Connected devices	Embedded programming and networking

Growth figures: WEF data as reported by Euronews. Rank order follows the WEF’s Figure 2.2 as reported by HR Katha. Data analysts and scientists sit just outside the top 10, at +41%.

1. Big data specialist

Why is big data the fastest-growing job by 2030?

Because nearly every company now runs on data it cannot yet use well. Each online purchase, banking session and streaming choice leaves a record, and businesses want to turn those records into decisions about stock, pricing, fraud and product design.

The WEF expects big data specialist roles to grow by 113% between 2025 and 2030, the highest figure in the entire report (Euronews).

There is a second reason. AI systems are only as good as the data fed into them, so every company building AI suddenly needs people who can move, clean and organise information at scale.

What would you actually do?

Most days you would build and maintain the pipes that carry data between systems. Typical work includes:

• collecting and processing very large datasets;
• building data pipelines that move information between tools;
• checking data quality so reports and models do not quietly break;
• spotting patterns with statistical methods;
• handing clean, reliable data to analysts, data scientists and AI teams.

Some jobs lean toward engineering and infrastructure. Others lean toward analysis. Read job ads carefully, because the title alone will not tell you which one you are applying for.

Skills and a first project

Start with Python and SQL, then add statistics, cloud basics and a distributed processing tool such as Apache Spark. A degree in computer science, statistics or maths helps, though portfolios matter a great deal in this field.

For a first project, combine two public datasets, for example local weather and public transport ridership, and show how one affects the other. Document where the data came from and what you cleaned out. Hiring managers read that part closely.

Best for: people who like puzzles, logic and the slightly obsessive satisfaction of making messy information behave.

2. Fintech engineer

Why are fintech engineers growing so fast?

Because money has moved into apps. Mobile wallets, instant transfers, online lending and digital-only banks all need engineers who understand both software and the rules of finance. Fintech engineers rank second on the WEF list, with expected growth of 93% (Euronews).

If you live in a country where mobile money is how ordinary people pay rent and send money home, you have already seen why. Systems like that run on code that cannot afford to fail.

What would you actually do?

Depending on the employer, you might:

• build banking and payment applications;
• connect payment gateways and financial APIs;
• write systems for transfers, lending and transaction processing;
• harden platforms against outages and attacks;
• support fraud detection and risk tools;
• maintain software that handles highly sensitive personal data.

One clarification the original draft got right and I want to keep: a fintech engineer is an engineer first. You are not an investment adviser or a financial analyst. Knowing how finance works is a large advantage, though, because a bug in a payment system is not just a bug. It is someone’s missing salary.

Skills and a first project

Common languages include Java, Python, JavaScript and others used by banks. Add SQL, API design, cloud infrastructure, testing and security basics. You also need to understand transactions, settlement, interest and fraud patterns.

Build a budgeting app or a mock payment system using test data only. Show how it records a transaction, how it handles a failed payment and how it authenticates a user. Never use real customer information, even for practice.

Best for: programmers who like rules, reliability and the idea that their code moves real money safely.

3. AI and machine learning specialist

Why do AI specialists rank third?

Because AI has moved out of research labs and into daily business. Companies now use it for document processing, customer support, forecasting and recommendation systems. The WEF expects AI and machine learning specialist roles to grow by 82% by 2030 (Euronews). The report also names AI and big data as the fastest-rising skill area overall (WEF Future of Jobs Report 2025).

US government data points the same way. The Bureau of Labor Statistics projects data scientist employment to grow 34% from 2024 to 2034, adding about 82,500 jobs, with a median wage of $112,590 in May 2024 (BLS).

What would you actually do?

The work can include:

• preparing and labelling datasets;
• training, testing and evaluating models;
• building prediction and classification systems;
• working with language models and other generative tools;
• plugging models into real products;
• monitoring accuracy, bias and drift once a system is live.

Surprisingly, many AI jobs do not involve inventing new models at all. A large share of the work is choosing an existing model, testing whether it actually works for a specific problem, and catching the cases where it fails.

Skills and a first project

Learn Python, statistics and basic data analysis before touching neural networks. Then pick up a framework such as PyTorch or TensorFlow. Just as important, learn the limits: models can sound confident while being wrong, and they can absorb bias from their training data.

A good starter project is a small text classifier, for instance one that sorts customer complaints by topic. Write up the dataset, how you tested it, where it failed and what you would fix. That honesty reads as maturity.

Best for: curious problem-solvers who enjoy maths and experiments, and who are comfortable saying “the model is wrong here.”

4. Software and applications developer

Is software development still a safe career with AI coding tools around?

Based on the available data, yes, and it may be the safest bet on this whole list. Software and applications developers are the only role here that appears near the top of both WEF rankings: 57% expected growth and a net 6.7 million new jobs, third-largest in absolute terms (Euronews).

The BLS agrees for the United States. It projects 15% growth for software developers, QA analysts and testers from 2024 to 2034, adding about 287,900 jobs, with software developers earning a median of $133,080 in May 2024 (BLS). That is several times faster than the average across all occupations.

I cannot confirm with certainty how AI coding assistants will change entry-level hiring over the next five years. The forecasts above were made with those tools already in view, but junior roles may become more competitive even as total demand grows.

What would you actually do?

You would design, write, test and maintain the applications people use every day, from hospital booking systems to logistics dashboards. Increasingly, the job also involves reviewing AI-generated code, which means you need to understand code well enough to spot what the tool got wrong.

Skills and a first project

Choose one language and go deep rather than collecting tutorials in five. Learn Git, testing, databases and how to read other people’s code. Build something a real person uses, even if that person is your neighbour who runs a small shop.

Best for: builders who like seeing their work in someone else’s hands.

5. Security management specialist

Why are security jobs growing so quickly?

Because the threats are both digital and geopolitical. The WEF says technology trends partly explain the growth, but rising geopolitical fragmentation is a large part of why security management specialists sit in the top five, with 53% expected growth (WEF; Euronews). Information security analysts also appear among the top 15.

In the US, information security analysts are projected to grow 29% from 2024 to 2034, the fastest of any computer occupation, with a median wage of $124,910 (BLS).

Here is the nuance. The 2025 ISC2 Cybersecurity Workforce Study, which surveyed more than 16,000 professionals, did not publish a global workforce gap figure this time. Instead, 95% of respondents reported at least one skills gap on their team (ISC2; SecurityInfoWatch). ISC2’s acting CEO Debra Taylor put it bluntly: the main concern “isn’t headcount but skills” (CSO Online). So employers want people who can do specific things, not just people with a security title.

Is a security management specialist the same as a cybersecurity analyst?

No, and the difference matters when you read job ads. A security management specialist usually oversees the wider picture: risk assessments, incident planning, protective procedures and sometimes physical security of buildings and critical sites.

A cybersecurity analyst focuses more narrowly on protecting digital systems and data. The two overlap, and many roles sit in between, so decide early which side pulls you.

What would you actually do?

Security management roles combine policy and technology. You might run risk assessments, manage incident response plans, oversee access controls, work with auditors and train staff to recognise phishing.

Skills and a first project

Start with networking, operating systems and cloud basics. Then add security fundamentals and an entry certification. Set up a home lab, break your own test system, then write a short incident report explaining what happened and how you fixed it.

Best for: calm, methodical people who enjoy thinking like an attacker so they can think better as a defender.

6. Data warehousing specialist

What is a data warehousing specialist, and why does demand keep rising?

A data warehousing specialist designs the central storage systems where a company keeps its organised, query-ready data. Demand is expected to rise by 49% by 2030 (Euronews). The reason is simple: as firms collect data from sales, apps, sensors and suppliers, they need one trustworthy place to bring it together.

Think of it this way. A big data specialist builds the roads. A warehousing specialist designs the city where everything gets stored and found.

What would you actually do?

You would model data structures, build and tune warehouse schemas, manage loading processes, control costs on cloud platforms and make sure reports pull the same numbers every time.

Skills and a first project

SQL is non-negotiable. Add dimensional modelling, at least one cloud data warehouse platform and an understanding of data governance. A strong starter project is a small warehouse for a fictional online store, with sales, customers and products linked so a manager can answer real questions in one query.

Best for: organised thinkers who enjoy structure and get quietly annoyed by inconsistent spreadsheets.

7. Autonomous and electric vehicle specialist

Why is the EV and autonomous vehicle field on the list?

Because the shift to electric transport has stopped being a forecast and started being a sales figure. Global electric car sales grew 20% in 2025 to exceed 20 million, meaning one in four new cars sold was electric (IEA Global EV Outlook 2026). The IEA expects about 23 million sales in 2026. Its executive director Fatih Birol noted that EV sales “set new records in close to 100 countries last year” (Energy Digital).

The WEF expects autonomous and electric vehicle specialist roles to grow 48% by 2030 (Euronews). Interestingly, it is the only top 10 job for which broadening digital access is not a top driver; robotics and AI matter more here (WEF).

What would you actually do?

Work ranges from battery systems and power electronics to sensors, embedded software, vehicle testing and charging infrastructure. Some roles are deeply hardware-focused. Others look more like robotics software jobs.

Skills and a first project

An electrical, mechanical or mechatronics background helps a lot. Add C or C++, embedded systems and some control theory. One warning the original draft rightly raised: EV battery and drivetrain systems run at high voltage. Practise with simulations, microcontrollers and small robotics kits first, and only work on real vehicle systems with proper training and supervision.

If you prefer hands-on routes, technician pathways in EV maintenance and charging installation are worth a serious look, especially as more electric two-wheelers and cars reach markets in Asia and Africa.

Best for: people who like machines that move and are happy to get their hands on real hardware.

8. UI and UX designer

Why are UI and UX designers growing while graphic designers decline?

Because the WEF expects AI to take over more routine visual production, not the work of understanding users. UI and UX designers are projected to grow 48% by 2030 (Euronews). In the same report, graphic designers sit just outside the ten fastest-declining roles, a first for the series, which the WEF links to generative AI’s growing ability to do knowledge work (WEF).

That contrast is the most useful lesson in this section. Making things look nice is getting cheaper. Figuring out why users get stuck, and fixing it, is not.

What would you actually do?

You would interview users, map journeys through an app or website, build wireframes and prototypes, run usability tests and work with developers to ship changes. Good UX designers spend more time asking questions than drawing screens.

Skills and a first project

Learn user research methods, information architecture, accessibility standards and a design tool such as Figma. Then pick an app you find frustrating, test it with five people, and redesign the worst screen. Show the before, the after and the evidence.

Best for: empathetic people who notice when something is confusing and can’t stop wondering why.

9. Light truck or delivery services driver

Why is a driving job on a list full of tech roles?

Because e-commerce still needs someone to bring the parcel to the door. Light truck and delivery drivers are projected to grow 46% in percentage terms and add about 9.8 million jobs, making them the second-largest growing job in absolute numbers (Euronews).

This entry also shows the tension inside the report. The WEF lists robotics and autonomous systems as the largest net job displacer, about 5 million jobs, yet delivery driving is one of the three top-10 roles where robotics is not a leading driver of growth (WEF). For now, employers expect human drivers to keep growing. I would not assume that holds forever.

What would you actually do?

You would plan and drive local routes, load and unload goods, use handheld scanners and delivery apps, and deal directly with customers.

Skills and a first step

You need a valid licence for the vehicle type, a clean record and good local knowledge. Before accepting a role, check how pay is structured (per hour, per drop or per route), who pays for fuel, insurance and maintenance, and whether you are hired as an employee or a contractor.

Those details often decide what the job is really worth. To protect your future, add something that automation will not replace quickly: logistics coordination, fleet supervision or EV maintenance skills.

Best for: people who want work they can start soon, without a degree, and who use it as a stepping stone into logistics.

10. Internet of Things specialist

What does an IoT specialist do, and why is demand rising?

An IoT specialist connects physical devices, such as sensors, meters, machines and cameras, to networks and software. Demand is expected to grow 42% by 2030 (Euronews). The device count explains why. IoT Analytics estimates about 21.1 billion connected IoT devices by the end of 2025, rising to roughly 39 billion by 2030 (IoT Analytics).

What would you actually do?

You might design sensor networks for factories, build firmware for smart meters, connect farm equipment to dashboards or secure devices that were never designed with security in mind. That last one matters more every year.

Skills and a first project

Learn C or Python for microcontrollers, basic electronics, networking protocols and device security. A Raspberry Pi or ESP32 project that reads temperature, sends it to a cloud dashboard and raises an alert is a classic first build for a reason: it touches every layer of the job.

Best for: tinkerers who like the moment a physical object starts talking to software.

Which jobs are shrinking fastest by 2030?

Clerical roles are shrinking fastest, led by postal service clerks (-34%), bank tellers (-31%) and data entry clerks (-26%), followed by cashiers and ticket clerks, administrative assistants and printing workers at about -20% each (Euronews). In absolute numbers, cashiers and ticket clerks face the biggest loss, with 16.3 million roles displaced and a net decline of 13.7 million.

Notice the pattern. Many shrinking jobs involve moving information from one place to another. Many growing jobs involve designing the systems that now do that moving. If your current work looks like the first group, the second group is your most natural bridge.

Which skills matter most for the jobs of the future?

AI and big data skills top the WEF’s list of fastest-growing skills, followed by networks and cybersecurity, then technological literacy (WEF Future of Jobs Report 2025). The pressure behind that list is real: 86% of surveyed employers expect AI and information processing to transform their business by 2030 (WEF Stories). Creative thinking, resilience, flexibility and curiosity also rise in importance, which is a reminder that pure technical skill is not the whole picture.

Here is how I would turn that list into a study plan:

Skill	Why it matters by 2030
AI and data literacy	Lets you judge, not just use, AI and data tools
Programming	Underpins software, automation and most technical roles
Cybersecurity awareness	Every connected product now needs it
Analytical thinking	Helps you solve problems no tutorial covered
Communication	Turns technical work into decisions other people act on
Adaptability and continuous learning	Keeps your skills current as tools change

Employers expect about 39% of today’s core skills to change by 2030 (European Commission). Put plainly, nearly two in five things you are good at today may matter less in five years. That sounds alarming, yet it also means you do not need to start from zero. You need to keep updating.

How should you choose among the fastest-growing careers?

Choose by matching three things: what you enjoy doing for hours, where the openings will be in your region, and how long you can afford to train. Here is the approach I would use myself.

A quick way to narrow the field is to start from what you already enjoy:

• Maths and information: big data, data warehousing, or AI and machine learning.
• Building digital products: software development or fintech engineering.
• Safety and risk: security management, or a more specialised cybersecurity path.
• Creative problem-solving with people: UI and UX design.
• Engineering and physical systems: electric vehicles, autonomous systems or IoT.
• Practical work without a long training path: delivery and logistics, depending on local demand and licensing.

Then test that choice against the market:

1. Look at both lists. Pair the percentage ranking with absolute job numbers. A role that is growing fast and adding many jobs, like software development, carries less risk than a fast-growing niche.
2. Check local demand. Search job boards in your own city for each title. Global forecasts mean little if no employer near you is hiring.
3. Start with shared foundations. Python, SQL and basic security knowledge appear across at least five of these ten roles. Learning them keeps several doors open while you decide.
4. Build one public project. One documented, finished project beats five half-done online courses. Employers want proof that you can finish things.
5. Plan a bridge, not a leap. If you are in a shrinking role, look for the growing job closest to what you already do. A bank teller who understands payments has a head start in fintech support. A data entry clerk already knows what bad data looks like.

If you are reading this from Bangladesh or another emerging economy, treat global forecasts as a starting point. Local demand depends on infrastructure, investment, training access and how easily you can work with international clients. Remote software, design and data work can widen your options, but check real job ads in your target market before paying for an expensive course.

Frequently asked questions

Conclusion

The fastest-growing jobs by 2030 tell a clear story: data, AI, money, security and connected machines are where employers are spending. What most lists leave out is that “fastest” is a percentage, and the real volume of new work sits partly in less glamorous places, from farms to delivery vans.

My honest read is that software development and security offer the best balance of growth, pay and staying power, while big data and AI offer the steepest climb for people willing to learn the maths.

If you are a student, start with Python, SQL and one finished project. If you are changing careers, find the growing role closest to your current work and build a bridge toward it. Either way, the smartest strategy is not to chase the fastest-growing job title. It is to build skills that solve real problems, and to keep them current as the work around you changes.

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Sources:

• World Economic Forum, Future of Jobs Report 2025, Chapter 2: Jobs Outlook
• World Economic Forum, The Future of Jobs Report 2025 (main page)
• World Economic Forum Stories, Future of Jobs Report 2025: These are the fastest growing and declining jobs (David Elliott, 9 January 2025)
• Euronews, Jobs market at a crossroads
• HR Katha, Fastest-growing jobs in 2025 to 2030
• European Commission Digital Skills and Jobs Platform, Future of Jobs Report 2025 summary
• US BLS, Data Scientists
• US BLS, Software Developers, QA Analysts and Testers
• US BLS, Information Security Analysts
• ISC2, 2025 Cybersecurity Workforce Study
• CSO Online, Cybersecurity skills matter more than headcount
• IEA, Global EV Outlook 2026
• IoT Analytics, Number of connected IoT devices