“We are in a world where technology is changing at a faster pace than ever before, and we must adapt to survive.” — Randi Zuckerberg.
Robotics, chatbots, digital transactions, on-demand solutions, data analysis, etc. have helped the world survive 2024. Various technologies are emerging in the present time and yes, the last few years have given us some new technological goals. Some technologies have recently seen a sudden boom thanks to the shift in society’s behaviour.
Whether it is a new technology or upgrading an old one, we have come a long way. And data is the golden digital asset for industries today. With so many trending technologies in the market, the demand for mobile app development companies in USA has also increased considerably.
The article is about the top emerging technologies for businesses in 2024. Here you will get information on the latest technology and trends in the IT domain. Whether you are an IT professional or a techno freak, you will enjoy each piece of information presented here.
What are Emerging Technologies?
Emerging technology drives the development of practical applications that remain largely unrealized. This means that some processes or formalities are still needed to launch these techniques.
So keeping this definition in mind, here are technologies to learn in 2024 to stay competitive. Certain techniques has been adopted and some are under process of realization. You must not miss this information and check out the top emerging technologies in 2024.
Details of Top Emerging Technology in 2024
Let’s have a look at the major top emerging technologies for businesses in 2024 that you can adapt as a business entrepreneur:
1. Top Emerging Technologies in Artificial Intelligence (AI)
The global artificial intelligence market is expected to grow at a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030, with projections indicating it will reach $1,811.8 billion by 2030. One example of Artificial Intelligence is the installation of Chatbots on web pages.
It is one of the emerging technologies of 2024 that would take your business to new heights. Artificial Intelligence stands for the involvement of human intelligence in machinery. It acts and presents itself as human and has high utility in IT, Agriculture, Science, etc.
It is not about talking only about Robots when it comes to Artificial Intelligence solutions. Anything capable of performing Human Intelligence and serving good in society comes under AI. With the help of AI, you can perform easy to complex tasks in just seconds.
Artificial Intelligence (AI) rapidly enhances learning, reasoning, and perception. Over time, AI will tackle tasks of all sizes, from the smallest to the largest.
Read Also: How to Create Business Value with your first Artificial Intelligence Project?
The best example of utilizing artificial intelligence in your business is process automation. Additionally, machines and software now handle many functions of your organization instead of humans. AI has seeped into the business arena, we need to find more innovative ways in which your business can adopt the technology. Companies like Google, Apple, and IBM are the top players investing in AI.
Case Studies of AI
- Memorial Sloan Kettering Cancer Center used IBM Watson to analyze medical records and research data, which enhances patient diagnosis and treatment recommendations.
- Coca-Cola uses AI to analyze consumer preferences and trends, optimizing product placements and personalized marketing campaigns.
- Netflix employs AI algorithms to analyze viewer behaviour, providing personalized content recommendations that drive engagement and retention.
- Siemens uses AI in its manufacturing processes to predict equipment failures, reducing downtime and maintenance costs.
2. Machine Learning
Also, this is the major part of AI itself but has created a super-duper buzz in the market. Here we have two categories i.e. supervised & unsupervised.
Machine learning is one of the most important technologies to learn in 2024. It gets deployed in all kinds of industries, creates a buzz among professionals, and drives huge demand in the IT sector.
Data analytics, data mining, and pattern recognition will be utilized. Again at the consumer end, Machine Learning empowers web search results, real-time ads, and especially network intrusion detection. Hence, machine learning solutions have also become a talking point in the list.
Read Also: Best Artificial Intelligence and Machine Learning App Ideas for Startups
Machine learning is one of the top technologies to learn in 2024 according to experts. Isn’t it interesting that as you log in to your favorite eCommerce application you come across a few suggestions?
Case Studies of Machine Learning
- Amazon uses machine learning algorithms to analyze purchase history and browsing behaviour, leading to highly personalized product recommendations.
- Zillow employs machine learning models to estimate property values, allowing users to make informed decisions in the real estate market.
- Spotify uses machine learning to analyze listening habits and create personalized playlists, enhancing user experience and engagement.
- Salesforce’s AI-driven tool uses machine learning to automate tasks, predict sales trends, and enhance customer relationship management.
3. DARQ Technology: The DNA of Future Technologies
Accenture comes into the mainstream of filling health to obtain solutions to society in a better and more composed way. DARQ is the technology that benefits from the top four trending technologies; distributed ledger technology (DLT), artificial intelligence (AI), extended reality (XR), and Quantum Computing. These new technologies are acting as the catalyst to cater digital solutions to the existing industry.
The above four technologies are key differentiators to impact the healthcare industries in the way ahead. After the arrival of DARQ, the cost of the solutions is cheaper now. The customers and the respective partners can get more bidirectional services. This involves driving the wave of innovation.
Case Study of DARQ
- Volkswagen is integrating DARQ technologies (Distributed Ledger, AI, Extended Reality, and Quantum Computing) into its manufacturing processes to enhance efficiency and innovation.
- Deloitte combines blockchain with AI for improved data integrity in auditing processes, providing clients with greater trust and accuracy.
- PwC uses augmented reality to train employees on complex procedures, enhancing learning outcomes and engagement.
- IBM is applying quantum computing to optimize trading strategies in financial markets, showcasing the potential of DARQ technologies in finance.
4. Smart Cars and Automated Solutions
Smart cars are the next pro thing on the list. With the advanced driver assistance systems, the future of self-automotive solutions is undercovered. The vehicles are controlled without any human role, with the ADAS2. Companies like Plus, Mobieye, Qualcomm, etc. are the top leaders in serving such solutions. Such technologies easily emerge in metropolitan cities where the heavy population needs such kinds of solutions. The adoption of this automation industry is estimated to reach $232B by 2025.
Automation solutions evolved the care and the assistance of older people aka the robots. Over the years, we have seen that machine-based training solutions and AI-integrated services are eventually growing. Robots are lucrative machines that behold their existence without any human intervention. Robotics can surpass 5% of the total automated solutions while 60% of the solutions are partially dependent on robotics.
Recommended Read: P2P Payment App Development
Smart automation solutions are a companion for our daily lives. People are more predominantly towards the super fast solutions. As for groceries, medicines, clothing, or other essential goods, there is a huge demand for such solutions in 2024.
Case Studies of Smart Cars and Automated Solutions
- Waymo’s self-driving technology has been tested extensively in urban environments, improving safety and reducing traffic congestion.
- Tesla incorporates advanced driver-assistance systems (ADAS) using AI and sensors, continuously improving safety and driving experience.
- Ford is investing in connected vehicle technologies to improve traffic management and enhance user experiences through smart transportation solutions.
- GM’s Cruise focuses on fully autonomous vehicles for ride-sharing services, aiming to transform urban mobility.
5. Augmented Reality & Virtual Reality (AR & VR)
Both of the techniques are still in the queue to get released in the technical environment. The facilities are not that much utilized but are serving in training, education, entertainment, and marketing & even at rehabilitation centres after an injury.
AR stands for Augmented Reality and adds digital elements to a live view by using the front camera of smartphones. The best recent examples of Augmented Reality are Pokemon Go and Snapchat lenses.
On the other hand, VR is the extended version astonishing and falls under the top trending technologies of 2024. Virtual Reality shuts out the physical world and gives the experience of a completely virtual world. The best examples are the HTC Vive, Oculus Rift, and Google Cardboard.
Read Also: What is the Cost to Develop an Augmented Reality mobile app?
One of the finest amalgamations is Mixed Reality (MR). It comprises the features of both AR & VR technologies. Another term in respect of this is Extended Reality (XR). You can grab more details about it from the Internet.
Remember how you spoke to the event planner the other day and he showed you the complete 3D structure virtually? Incredible it was! It was all the magic of virtual reality. In event management and architectural businesses, technology has made things very easy to explain, share and comprehend.
Case Studies of AR/VR
- IKEA’s app uses AR to allow customers to visualize furniture in their homes before purchasing, enhancing the shopping experience.
- Tilt Brush enables artists to create 3D artwork in a virtual space, showcasing the potential of VR for creative industries.
- Mayo Clinic uses VR simulations for surgical training, providing medical professionals with realistic, hands-on experience.
- Ford employs AR in vehicle design processes, allowing engineers to visualize and collaborate on designs more effectively.
6. Quantum Computing
Quantum Computing is the next astonishing technology in the year 2024. We must see this in the pandemic. It helps the healthcare sector in easily tracking and monitoring the risks in the complex data of many companies like Honeywell, AWS, Microsoft, and Google. In the finance sector, quantum computing performs the fraud detection and analysis of any security threat. Quantum sensing gives the possibility to find any of the underwater deposits and seismic events.
There are more hopes and promises we are expecting with this technology. The market leaders have been fortunate with $2.9M in this sector. IBM, the technology company, known for giving cloud and cognitive solutions, collaborates with India’s leading academic institutions to cater to cloud solutions for education and research.
Case Studies of Quantum Computing
- Google demonstrated quantum supremacy by solving a complex problem faster than traditional supercomputers, paving the way for future quantum applications.
- IBM offers cloud-based access to its quantum computers, allowing researchers and developers to explore quantum algorithms and applications.
- D-Wave provides quantum computing solutions for optimization problems in logistics and finance, showcasing real-world applications of quantum tech.
- Microsoft is developing a quantum network that aims to connect quantum devices for secure communication and advanced computing capabilities.
7. IoT (Internet of Things)
A great shift has been seen in the usage of the Internet nowadays. Now you can create, build, and popularize anything using WiFi or Internet Connectivity, and this procedure is known as IoT (Internet of Things). It is a new concept that has gained a significant place in the list of emerging technologies for businesses in 2024.
The Internet of Things explains the connectivity with physical objects (things) that are coded with sensors, software, and other important techniques. This helps any operation go smoothly and exchanging of data with other devices becomes more flawless.
According to the latest survey, 25% utilization of IoT development solutions has been done till now, thus has grabbed its place in the latest technology trends 2024. The purpose of the technique is to boost new business opportunities and effectiveness in the working of the companies. A few of the companies investing in such technologies are Cisco, SAP, Microsoft, Dell, IBM, and Cloudera.
The simplest and most household application of this technology is the anti-theft smart tag that comes with the product. These tags are released only if the product is purchased otherwise, they would beep like in malls. Fun, isn’t it?
Case Studies of IoT
- GE’s Predix platform connects industrial machines for predictive maintenance, improving operational efficiency in manufacturing.
- Nest uses IoT technology to allow users to control their home heating and cooling systems remotely, optimizing energy consumption.
- John Deere employs IoT sensors in farming equipment to monitor crop health and optimize resource usage.
- Barcelona uses IoT solutions for smart waste management and traffic monitoring, improving urban living conditions.
Recommended Read: How to Create a Loan App
8. Wearable Technologies
Wearable technologies are revolutionizing business operations by enhancing productivity, health, and employee engagement. Devices like smartwatches and fitness trackers can monitor vital signs and activity levels, enabling businesses to promote wellness initiatives.
For example, companies can implement health tracking to encourage employees to meet fitness goals, potentially lowering healthcare costs. Additionally, wearables enhance operational efficiency in industries like manufacturing, where augmented reality glasses can provide workers with real-time data and instructions, reducing errors.
Retailers leverage wearables to gather customer insights and personalize shopping experiences. As the technology evolves, businesses can harness wearables for data collection, improving decision-making and fostering a healthier, more engaged workforce.
Case Studies of Wearable Technologies
- The Apple Watch provides health monitoring features, enabling users to track heart rate, activity, and other metrics.
- Fitbit devices encourage users to maintain active lifestyles through fitness tracking and health insights.
- Google Glass is used in manufacturing settings to provide real-time data and instructions to workers, improving efficiency.
- The Oura Ring tracks sleep patterns and provides personalized insights for better sleep health.
9. Blockchain & Defi
Many of us know blockchain as part of digital currency or digital currency itself. To elaborate on the term, it is a technology that is used to provide additional security to digital transactions. It cannot be modified, changed, or cannot be taken from one place to another. It gives the finest layer of security that does not require any third-party securities or valid transactions.
Many industries nowadays implement blockchain and its utilization in their professional tasks. Some experts have found it as the second-fastest growing category of jobs.
With Elon Musk making a statement of accepting payments for Tesla in cryptocurrency, the demand for blockchain developers has seen a sudden hike. This digital payment method is the most common and popular application of technology.
Defi is a decentralized finance solution used in the finance market. It includes solutions like finance, cloud computing, digital security, cross payments, and many more.
Case Studies of Blockchain & Defi
- Ethereum enables the creation of smart contracts for decentralized applications, revolutionizing how transactions are executed.
- IBM’s blockchain initiative enhances transparency in the food supply chain, allowing consumers to trace food origins and safety.
- Ripple utilizes blockchain technology to facilitate instant and low-cost international payments for financial institutions.
- Uniswap operates on Ethereum, allowing users to trade cryptocurrencies without intermediaries, showcasing the potential of DeFi.
Recommended Read: Top Blockchain App Development Companies
10. Big Data Analytics
Perhaps big data analytics will be in the market for a while, it will be of the same extent to find data storage and processing.
There are many elusive technologies involved in big data analytics such as business intelligence solutions for decision-making, X-analytics for climate change, and protection of the wildlife. The global big data analytics market was valued at USD 307.51 billion in 2023. It is anticipated to expand from USD 348.21 billion in 2024 to USD 924.39 billion by 2032, with a compound annual growth rate (CAGR) of 13.0% throughout the forecast period.
One of the reasons why the big data analytics market has overflowed in these years is due to the existence of a large bulk of raw and meaningless data. The data technologists have joined hands with each other for cumulative precise prediction of the accurate data.
This ratifies global companies to explode more structured data in 2024. Companies now prevent themselves from the data silos, which were caused before naturally as the companies couldn’t reach and figure out the irrelevant data used for the organizational assets, company hierarchical placement of data, outdated software, and others. Data analytics is to unify all of the data and come out with meaningful assets.
Some of the best-emerging companies investing in these technologies are Amazon, Starbucks, Spotify, Google, and Adobe.
Case Studies of Big Data Analytics
- Target uses big data analytics to predict customer purchasing behaviour, enabling personalized marketing strategies.
- Netflix analyzes viewer data to inform content creation, optimizing its production based on audience preferences.
- American Express uses big data analytics to detect fraudulent transactions in real-time, improving security for users.
- Walmart leverages big data to optimize inventory management and supply chain logistics, enhancing operational efficiency.
Recommended Read: NFT Marketplace Development
11. Cyber Security
When we are talking about security then “Cyber Security” is not a topic to miss. It is not under the category of emerging technology as it has remained around for a while, but its realization in many sectors is still pending.
As long as the industries have hackers, our nation will continue providing great job opportunities in the cybersecurity field. The jobs may vary from fixed remuneration to high-commission-based opportunities.
With the world going digital and businesses running from home, a safe work environment where organizational data is protected becomes the need of the hour. With the latest cybersecurity solutions, one can be sure of no data loss or tampering.
Case Studies of Cyber Security
- CrowdStrike utilizes AI and machine learning for real-time threat detection and response, significantly reducing incident response times.
- IBM’s QRadar platform provides advanced analytics for detecting security threats, enabling organizations to strengthen their defences.
- Cisco offers a range of cybersecurity solutions that integrate threat intelligence to protect enterprise networks and data.
- McAfee’s solutions use machine learning to identify and mitigate threats across various devices, enhancing overall cybersecurity.
12. Advanced Analytics
Advanced analytics is transforming how businesses make decisions by providing deeper insights into data patterns and trends. By utilizing machine learning algorithms and statistical methods, organizations can predict customer behaviour, optimize operations, and enhance marketing strategies.
For example, retailers analyze purchasing data to personalize recommendations, driving sales and customer loyalty. In finance, advanced analytics helps firms manage risks and detect fraudulent activities.
Companies in healthcare use predictive analytics to improve patient outcomes by anticipating needs and streamlining processes. As the volume of data continues to grow, advanced analytics empowers businesses to make data-driven decisions, enhancing agility and competitiveness in the market.
Case Studies of Advanced Analytics
- Coca-Cola utilizes advanced analytics to analyze consumer behaviour, guiding product development and marketing strategies.
- American Airlines employs advanced analytics to optimize pricing strategies, improving revenue management.
- P&G uses advanced analytics to gain insights into consumer preferences, enhancing product development and marketing efforts.
- LinkedIn offers advanced analytics to companies for talent acquisition, helping them make data-driven hiring decisions.
13. DevSecOps
Development, security, and managing the team are the top three concerns for the companies. They are hunting for solutions that can overlap all of the three factors.
Here comes the term DevSecOps, which in short is the combined automation for development, security, and operations. This technology opens up the arms of other emerging technologies like GitOps, NoOps, and DataOps. This automated system derived any vulnerabilities at the early stage in an automated manner. It integrated with different testing methods like penetration and automated security testing for the fast and agile development of the project.
According to the IDC report, more than 90% of the new apps are expected to release security-driven solutions in the market. Top-driven companies involved in these technologies are NASA, Amazon, Capgemini, Oracle, and Dell.
Case Studies of DevSecOps
- Netflix integrates security into its DevOps pipeline, ensuring security checks occur continuously throughout the development lifecycle.
- Target adopted DevSecOps practices to enhance collaboration between development, security, and operations, improving software security and delivery speed.
- Capital One implemented DevSecOps to secure its cloud infrastructure, allowing for agile development without compromising security.
- GitLab offers integrated security tools within its DevOps platform, enabling teams to address vulnerabilities early in the development process.
14. 5G Network
5G stands for 5th Generation mobile network. It will enable a great speed of connectivity and will connect multiple objects at a time. This was the much-awaited upcoming technology of 2024. It has delivered higher multi-Gbps peak data speeds, ultra-low latency, more reliability, and many other good features. It will provide a smooth and uniform user experience with higher performance, and improved efficiency. This will target new businesses as well as will connect new industries.
Right now 5G technology is driving 13.2 trillion dollars of global economic output. It has created 22.3 Million new job openings. It has also provided $2.1 Trillion in growth in GDP. Its realization may take several years and is expected around 2035.
Looking forward to the working objective of 5G technology, it will be utilized in three major fields i.e. Enhanced Mobile Broadband, Mission-critical communications, and Massive IoT. The top companies involved in using this technology are Samsung, Deloitte, Nokia, Ericsson, and Qualcomm. Many countries are accessing these facilities but for many, it will be a dream coming true.
Case Studies of DevSecOps
- Verizon partnered with hospitals to use 5G for remote surgeries and real-time patient monitoring, enhancing healthcare delivery.
- AT&T uses 5G to support smart city projects, including connected traffic systems and public safety enhancements.
- Nokia implemented 5G solutions in factories, improving automation and real-time monitoring of production processes.
- T-Mobile offers 5G services for enhanced mobile gaming experiences, reducing latency and improving performance.
Read More: How to Build a Blockchain Wallet App
15. Voice Assistance
The coming years will see a drastic hike in opportunities drawn out of voice assistance only. This is because it will tell upon consumer experience through the implementation of AI-driven technology and natural language processing techniques.
Most probably in the upcoming years, organizations will likely welcome “Conversational Analytics” which will also impact the chatbots & voice applications. The impact of voice assistance will also be seen especially in gaming and other sectors.
Read Also: How to give your best shot at Creating a Voice User Interface Design.
With Google Home, Alexa and Siri, everyone taking care of your instructions so easily, voice assistance around your business becomes quite easy and helpful to grow a stronger and better customer base. For now, this is one of the best technologies to learn in 2024 if you want a direct discussion.
Case Studies of Voice Assistance
- Amazon Alexa enables users to control smart home devices through voice commands, enhancing convenience and accessibility.
- Google Assistant is used by various businesses to automate customer service interactions, improving response times and satisfaction.
- Salesforce integrates voice recognition to allow sales representatives to update CRM data hands-free, increasing productivity.
- Healthcare providers use Siri to streamline administrative tasks, allowing medical professionals to focus more on patient care.
Read Also: How to give your best shot at Creating a Voice User Interface Design
16. Edge Computing
Edge computing is emerging as a critical technology for businesses seeking to improve data processing efficiency and reduce latency. By processing data closer to the source such as IoT devices organizations can achieve real-time insights and faster decision-making.
For instance, in manufacturing, edge computing enables predictive maintenance by analyzing equipment data on-site, minimizing downtime. In retail, it enhances customer experiences by providing instant data processing for personalized services.
As bandwidth demands increase, edge computing alleviates pressure on central data centres, allowing businesses to operate more effectively. This decentralized approach supports scalability, making it an essential technology for companies aiming to innovate and stay competitive in a fast-paced digital landscape.
Case Studies of Edge Computing
- Dell provides edge computing solutions that enable businesses to process data closer to the source, reducing latency.
- Cisco implements edge computing in IoT applications to enhance real-time data processing and analytics.
- GE uses edge computing in industrial settings to analyze machine data in real-time, improving operational efficiency.
- AWS Greengrass enables customers to run applications on edge devices, improving performance and reducing data transfer costs.
17. Human Augmentation
The more we thrive on trending technologies, the more we are devoid of our limitations. In this race of dominance, one thing we are lacking with our disabilities. With the involvement of the top two technologies AI and IoT, Human Augmentation is the real rescuer.
Advanced chip solutions like bionic and prosthetic augmentation, the cure of any sickness are feasible with power to the brain-machine interface. One such device used by the surgeons is Neurolink.
A symbiosis between the human brain and AI technology, Neurolink is the future of the ultimate solution derived by Elon Musk in his unusual ventures, apart from Tesla and SpaceX.
Although this technology comes with many pitfalls, have you ever imagined the positive possibilities this can reinvent for us? What if this tiny chip can cure old mare diseases like Alzheimer’s and Parkinson’s? People with other mental disabilities like paralysis could be able to live real life. This is going to be the major transverse in the healthcare stream.
Case Studies of Human Augmentation
Top companies investing in human augmentation-driven technology are Neuralink, Google, Samsung, and Ekso.
- Ekso Bionics develops exoskeletons that assist individuals with mobility impairments, enhancing their physical capabilities.
- Neuralink is working on brain-computer interfaces to help people with neurological disorders regain motor functions.
- Surgeons use AR glasses during procedures to overlay critical information, enhancing precision and outcomes.
- Companies like Fitbit and Apple develop wearable technology that tracks health metrics, promoting better health management.
18. Sustainable Energy Solutions
A large part of the industry is in the process of reducing the consumption of carbon footprint. In the pandemic, due to the limitations of automobiles, we have seen an increment of 40% in renewable sources, and this will continue to increase in 2024. Companies are more on neutralizing the carbon presence or carbon zero. Businesses are looking for advanced solutions like the fusion of more than two or more energies to emerge as practical applications. Helion Energy is a source of energy without dampening the environment.
Some of the top green technology solutions are electric vehicles, wind energy, vertical farming, LED lighting, and many more.
Case Studies of Sustainable Energy Solutions
- Tesla offers solar roofing solutions that integrate energy generation into home design, promoting renewable energy adoption.
- Siemens develops smart grid technology to optimize energy distribution and reduce waste in urban areas.
- Vestas manufactures wind turbines and uses data analytics to enhance efficiency and sustainability in energy production.
- Enphase Energy’s microinverters enable solar energy systems to optimize performance, increasing the viability of solar energy.
19. Digital Twin Technology & 3D Visualization
Accenture lists the digital twin technology as one of the top emerging technologies in the market. According to Gartner, more than 75% of industries are supposed to thrive in the digital twin market. This technology has emerged in various industries like building smart cities and lowering construction costs, to save millions of dollars for industries.
With the amalgamation of 3D visualization and Digital Twin technologies, businesses could make more advanced decisions and communications. Industries can train their data stipulated in real time to plan and maintain the data to reduce the cost or time of the products and target the more automated tasks with routines and schedules.
Case Studies of Digital Twin Technology
- GE uses digital twins of wind turbines to optimize performance and predict maintenance needs, improving energy efficiency.
- Siemens creates digital twins of manufacturing processes to simulate and optimize operations, enhancing productivity.
- Boeing employs digital twin technology in aircraft design to simulate performance and reduce development time.
- Procter & Gamble uses digital twins to model its supply chain, allowing for better forecasting and inventory management.
20. Robotic Process Automation
Robotic Process Automation (RPA) is transforming business efficiency by automating repetitive tasks and streamlining workflows. By employing software robots to handle mundane processes like data entry, invoice processing, and customer service inquiries organizations can significantly reduce operational costs and errors.
For example, banks utilize RPA to automate compliance checks and transaction processing, freeing employees to focus on more strategic tasks. In human resources, RPA automates onboarding and payroll, enhancing employee experience and reducing administrative burden.
This technology not only boosts productivity but also increases accuracy and compliance in operations. As businesses seek to adapt to rapid market changes, RPA stands out as a scalable solution that fosters agility and innovation, allowing organizations to allocate resources more effectively.
Case Studies of Robotic Process Automation
- UiPath automates repetitive tasks in finance departments, improving efficiency and accuracy in data processing.
- Blue Prism helps companies automate customer service processes, enhancing response times and customer satisfaction.
- Automation Anywhere automates HR processes such as recruitment and onboarding, streamlining workflows and reducing manual effort.
- KPMG uses RPA to automate data collection and analysis in audits, increasing accuracy and efficiency.
Final Words
Technology has played a vital role in our lives for ages. From the beginning of Human Intelligence to the implementation of chatbots and robotics in many works, all have become possible due to the acceptance and realization of these techniques in our day-to-day lives.
Emerging technologies are those whose realization is still pending or being realized at some point. There are enormous techniques that are still in the jar like Biometrics, Digital Twins, Human Augmentation, Biosensing, Plastic Money, Digital Perfume, etc. We have named the top 20 emerging technologies for businesses in 2024 here.
If you want to adopt any of the above-mentioned emerging technologies in your business, hire a mobile app development company like Octal IT Solution for better results.
If there’s anything you’d like to discuss, feel free to contact us.
Frequently Asked Questions
1. What are the most impactful emerging technologies for businesses in 2024?
Emerging technologies such as artificial intelligence (AI), blockchain, the Internet of Things (IoT), 5G connectivity, and augmented/virtual reality (AR/VR) are transforming how businesses operate. These technologies enhance efficiency, improve customer experiences, and enable new business models.
2. How can AI improve operational efficiency in my business?
AI can automate routine tasks, analyze large datasets for insights, enhance decision-making, and personalize customer interactions. By streamlining processes, businesses can reduce costs and allocate resources more effectively.
3. What role does blockchain play in enhancing security and transparency?
Blockchain technology provides a decentralized and immutable ledger that enhances data security and transparency. It is particularly useful in supply chain management, ensuring traceability, reducing fraud, and improving trust among stakeholders.
4. How can my business leverage 5G technology?
5G offers faster data transfer and lower latency, enabling businesses to implement advanced IoT solutions, improve remote collaboration, and enhance real-time data processing. This can lead to better customer service and more innovative products.
5. What are the key challenges businesses face when adopting new technologies?
Challenges include high implementation costs, lack of skilled personnel, data privacy concerns, and resistance to change within the organization. It’s essential to develop a clear strategy and provide training to employees to overcome these hurdles.