Top 20+ IT Technologies in 2025: Key Skills, Career Paths, and Applications

Staying ahead in IT means understanding key technologies like AI, blockchain, cloud platforms, cybersecurity, and green technologies. These technologies include areas such as machine learning, immersive AR and VR, next gen 5 G connectivity, and cloud infrastructure management. 

Learning these skills will open up new career paths in fields such as finance, healthcare, and software development. In this blog, we’ll break down essential IT technologies, such as AI/ML, highlighting essential skills and practical applications. We’ll also show you how they can boost your career by keeping you at the forefront of innovation.

Top 20+ IT Technologies Shaping the Future in 2025: Skills and Applications

Information technologies are changing every aspect of your lives, from the way you work and communicate to the advancements in healthcare, transportation, and entertainment. Staying abreast of the latest innovations in AI, ML, Cloud Computing, and Data Science is crucial for individuals and businesses alike to thrive.

In 2025, professionals skilled in advanced IT technologies, such as AI, cloud computing, and blockchain, are in high demand. Explore top-rated courses to enhance your expertise and stay ahead in the tech world.

• AI-Driven Full-Stack Development Bootcamp
• Master of Design in User Experience
• Professional Certificate Program in Cloud Computing and DevOps

Below, you’ll find detailed insights into the skills, applications, and career potential IT Technologies:

1. Artificial Intelligence (AI) and Machine Learning (ML)

The AI/ML market is projected to reach INR 244k crores, with 34% of business tasks automated by 2025. Advancements like GPT-5 and autonomous systems will drive innovation in healthcare, retail, and finance, enhancing efficiency and customer outcomes. 

Skills and Tools

• Programming Languages: Python, R
• Frameworks: TensorFlow, PyTorch
• Cloud Platforms: AWS, Google AI Platform
• Techniques: Deep learning, NLP

Benefits and Limitations

Real-World Application

DeepMind's AlphaFold has revolutionized drug discovery in healthcare by accurately predicting protein structures. This accelerates the process of identifying potential drug candidates and enhances medical research.

Job Roles and Salaries:

Source(s): Ambitionbox

Also Read: Top 20 Types of AI in 2025 Explained

Next, explore how Next-Gen 5G Connectivity is advancing IT infrastructure.

2. Next-Gen 5G Connectivity

Next-Gen 5G is advancing connectivity with ultra-fast speeds, low latency, and the ability to support billions of devices simultaneously. In 2025, the 5G market has already reached INR 330k crores, with 21% of global connections now adopt this technology. 

Skills and Tools

• Networking Skills: Network design, optimization, and protocol understanding.
• Wireless Communication Tools: OpenSignal for network analysis, NetSpot for coverage mapping.
• IoT Integration: Platforms like AWS IoT Core and Azure IoT Hub.
• Edge Computing Expertise: Understanding of distributed computing and MEC (Multi-access Edge Computing).
• Technologies: MIMO (Multiple Input, Multiple Output), beamforming, and small cell technology.

Benefits and Limitations

Real-World Application:

A great example is Reliance Jio’s 5G-powered healthcare initiative. By integrating 5G technology with IoT devices, Indian hospitals can monitor patients' vitals in real-time. This enhances emergency response times and improves patient care by enabling seamless data sharing and instant diagnostics, especially in remote areas.

Job Roles and Salaries

Source(s): Ambitionbox

Also Read: Top 13+ Artificial Intelligence Applications and Uses.

Next, explore how the Internet of Things (IoT) Ecosystem is changing industries with interconnected devices and systems.

3. The Internet of Things (IoT) Ecosystem

The Internet of Things (IoT) connects physical devices to the internet for seamless data exchange and automation. In 2025, the IoT market is projected to hit INR 5500k crores, driving innovations in smart homes, healthcare, and industrial automation. With 37.48 billion devices expected by 2032, IoT is optimizing efficiency and reducing costs.

Skills and Tools

• Programming: Proficiency in C, Python, and JavaScript for IoT device programming.
• Data Analytics: Expertise in tools like Tableau and Apache Kafka for IoT data analysis.
• IoT Platforms: Hands-on experience with AWS IoT Core, Microsoft Azure IoT, and Google IoT.
• Networking Protocols: Understanding MQTT, Zigbee, and LoRaWAN for IoT communication.
• Hardware Integration: Skills in Raspberry Pi and Arduino for prototyping IoT devices.

Benefits and Limitations

Real-World Application

A leading agricultural company utilizes IoT-enabled sensors in its smart farming operations. These sensors monitor soil moisture levels, weather conditions, and crop health, providing real-time data to optimize irrigation and fertilizer usage. This reduces resource waste, improves crop yield, and lowers operational costs.

Job Roles and Salaries

Source(s): Ambitionbox

Also Read: AI Developer Roadmap: How to Start a Career in AI Development

Next, discover how Blockchain Innovations are redefining security, transparency, and decentralization across industries.

4. Blockchain Innovations

Blockchain is changing data security and transparency with decentralized, tamper-proof ledgers. In 2025, the market has reached, INR 275k crores, driving innovations in cryptocurrencies, supply chains, and digital identities. It eliminates intermediaries, ensures trust, and guarantees data integrity. 

Skills and Tools

• Blockchain Programming: Expertise in Solidity, Java, and Python for developing smart contracts.
• Distributed Ledger Technology (DLT): Understanding Hyperledger Fabric, Corda, and Quorum frameworks.
• Cryptography: Knowledge of encryption algorithms and digital signatures.
• Decentralized Application (dApp) Development: Skills in Ethereum, Binance Smart Chain, and Polkadot platforms.
• Blockchain Analytics: Tools like Chainalysis and BlockCypher for tracking and analyzing blockchain data.

Benefits and Limitations

Real-World Application

Blockchain technology is revolutionizing supply chain transparency. For example, IBM's Food Trust platform uses blockchain to trace food provenance, ensuring quality and reducing fraud. By tracking every step of the supply chain, it ensures product authenticity and enhances consumer trust.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: AI-Driven Cybersecurity: How AI Helps Protect Your Data?

Next, explore how Immersive Augmented and Virtual Reality (AR/VR) is creating transformative experiences in education, gaming, and beyond.

5. Immersive Augmented and Virtual Reality (AR/VR)

AR and VR are changing how you interact with digital and physical spaces. In 2025, the market is expected to reach INR 404k crores, driving innovation in education, healthcare, and gaming. Global AR/VR headset shipments are projected to grow by 41.4%, offering seamless immersive experiences.

Skills and Tools

• Programming Languages: Expertise in C#, C++, and JavaScript for AR/VR development.
• Development Platforms: Unity 3D and Unreal Engine for creating interactive environments.
• 3D Modeling Tools: Blender and Autodesk Maya for designing virtual assets.
• Hardware Proficiency: Understanding devices like Oculus Quest, Microsoft HoloLens, and Magic Leap.
• Spatial Computing: Knowledge of LiDAR and SLAM (Simultaneous Localization and Mapping) for AR applications.

Benefits and Limitations

Real-World Application

Medical schools utilize AR/VR for virtual anatomy training, enabling students to interact with 3D models of human anatomy. This offering is a more engaging and practical learning experience that eliminates the need for cadavers. This approach also enhances understanding and reduces costs associated with traditional anatomy lessons.

Job Roles and Salaries

Source(s): Ambitionbox

Also read: Top 5 Ways To Use Augmented Reality (AR) For Marketing [With Real Life Examples]

Next, learn how Advancing Cybersecurity Measures are safeguarding businesses against ever-evolving digital threats.

6. Advancing Cybersecurity Measures

As cyber threats evolve, cybersecurity is becoming more sophisticated. In 2025, the market will reach USD 203 billion, with global spending surpassing INR 1,760k crores. Organizations are adopting AI-powered tools and quantum encryption to secure data and systems.

Skills and Tools

• Core Skills: Ethical hacking, risk assessment, and cryptography.
• Cybersecurity Tools: SIEM platforms like Splunk and IBM QRadar for threat management.
• Penetration Testing: Tools such as Metasploit and Wireshark.
• AI Integration: Use of Darktrace and Cylance for AI-driven threat detection.
• Frameworks and Protocols: Familiarity with NIST Cybersecurity Framework and PKI (Public Key Infrastructure).

Benefits and Limitations

Real-World Application

In 2020, JPMorgan Chase implemented AI-driven cybersecurity tools to detect and prevent fraud in real-time. Doing this significantly reduced the risk of cyberattacks targeting its financial systems. The use of AI-powered threat detection systems enabled the bank to respond quickly to emerging threats, thereby enhancing its overall security.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: What is Fuzzy Logic in AI? Understanding the Basics

Next, discover how Green and Sustainable Technologies are driving environmental innovation in IT.

7. Green and Sustainable Technologies

Green technologies focus on energy efficiency and reducing carbon footprints. The market will reach INR 250k crores, with a CAGR of 22.94%  from 2025 to 2034. Businesses are investing in green data centers and sustainable IT to save costs and drive environmental responsibility.

Skills and Tools

• Renewable Energy Integration: Expertise in designing systems powered by solar, wind, or hydropower.
• Sustainable IT Practices: Knowledge of e-waste management and energy-efficient hardware.
• Green Cloud Computing: Platforms like Google Cloud’s Carbon-Free Energy tool.
• Data Center Optimization: Tools such as Data Center Infrastructure Management (DCIM) software.
• Energy Management Systems: Familiarity with IoT-based monitoring tools like Enertiv and EcoStruxure.

Benefits and Limitations

Real-World Application

Microsoft's underwater data center initiative showcases green IT by designing energy-efficient data centers that reduce power consumption by over 30%. This significantly cuts down operational costs while driving sustainability efforts. This project combines cutting-edge technology with environmental responsibility, setting a benchmark for the industry.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: AI vs. Human Intelligence: Key Differences & Job Impact in 2025

Next, explore how enhancing human capabilities with technology presenting new potential in productivity and innovation.

8. Enhancing Human Capabilities with Technology

Technology is boosting human productivity, decision-making, and physical abilities. In 2025, the market  have hit USD 430.50 billion INR 3,730k crores, driven by brain-computer interfaces (BCIs), wearables, and assistive AI. These advancements have changed healthcare, education, and workplaces, with a CAGR of 13.95% from 2025 to 2034.

Skills and Tools

• Human-Machine Interaction: Expertise in BCIs and wearable interfaces.
• AI Integration: Familiarity with OpenAI and IBM Watson for augmenting decision-making.
• Wearable Tech Development: Tools like Arduino for prototyping.
• Healthcare Technology: Skills in designing prosthetics integrated with IoT.

Benefits and Limitations

Real-World Application

A prime example is ReWalk, an exoskeleton designed for individuals with spinal cord injuries. This wearable device enables users to stand, walk, and even climb stairs, greatly enhancing their mobility and independence. It also showcases the transformative impact of wearable technology on the healthcare industry.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: How To Integrate Artificial Intelligence Into Our Education System

Next, explore how AI-enhanced software development is changing the way software is designed and deployed.

9. AI-Enhanced Software Development

AI is upgrading software development by automating code generation, debugging, and testing. In 2025, AI software tools have streamlined development, reducing time-to-market and errors, as the market grows to INR 12,640k crores by 2034, with a CAGR of 21.43%.

Skills and Tools

• Programming Knowledge: Python and JavaScript for working with AI-based tools.
• AI Tools: GitHub Copilot, TabNine for code suggestions.
• Testing Automation: Selenium and TestComplete.
• Code Quality Tools: SonarQube for identifying vulnerabilities.

Benefits and Limitations

Real-World Application

An e-commerce platform like Shopify uses AI-powered testing tools to streamline the quality assurance (QA) process. By automating the testing of various user scenarios, they ensure smooth and error-free shopping experiences. This results in a 20% reduction in costs and an increase in customer satisfaction.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: Scope of Artificial Intelligence in Different Industries Explained

Next, learn how Cloud Platforms for Industry-Specific Solutions are providing tailored IT infrastructure to businesses.

10. Cloud Platforms for Industry-Specific Solutions

Cloud platforms are addressing unique industry challenges with tailored solutions for healthcare, finance, and manufacturing. 

In 2025, the market has reachd INR 2,300k crores, enhancing efficiency, security, and scalability, with over 70% of organizations adopting them by 2027.

Skills and Tools

• Cloud Expertise: AWS for healthcare, Azure for manufacturing, Google Cloud for retail.
• Industry-Specific Tools: SAP for enterprise resource planning, Epic for healthcare data.
• Data Security Protocols: Familiarity with HIPAA, PCI DSS, and ISO standards.

Benefits and Limitations

Real-World Application

In healthcare, Narayana Health utilizes AWS for HIPAA-compliant cloud storage to share patient data across multiple locations securely. This enhances real-time access to medical records for doctors, improving the efficiency of patient care while maintaining strict security. This ensures privacy and compliance with Indian healthcare standards.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: Top 10 Artificial Intelligence Tools & Frameworks

Next, discover how Next-Level Smart Applications are enhancing user experiences with AI and IoT integration.

11. Next-Level Smart Applications

Smart apps integrate AI, IoT, and real-time data to deliver highly personalized experiences. In 2025, these apps have changed the healthcare, education, and retail sectors, with the market projected to grow at a CAGR of 32%. AI-capable smartphones will dominate 54% of the market by 2028.

Skills and Tools

• Development Skills: Expertise in Swift programming, Kotlin, and React Native for app development.
• Integration Tools: Firebase for analytics, Dialogflow for AI-powered chatbots.
• IoT Compatibility: Knowledge of Zigbee, MQTT for smart device integration.

Benefits and Limitations

Real-World Application

In 2023, the Apple Health app integrated with smart devices, such as the Apple Watch, to monitor patient vitals and notify doctors in real-time. This AI-driven system has significantly enhanced emergency care by enabling doctors to respond more quickly to critical conditions.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: ReactJS vs React Native – Key Difference, Advantages, and Disadvantages

Next, dive into Accessible Generative AI and its role in creative industries.

12. Accessible Generative AI

Generative AI democratizes content creation by enabling users to create text, images, and videos with ease. 

In 2025, the market had reachd INR 540k crores, with tools like DALL·E and ChatGPT being widely used in creative fields, marketing, and education.

Skills and Tools

• AI Frameworks: TensorFlow and PyTorch for creating generative models.
• Generative Models Expertise: Understanding GANs, transformers, and diffusion models.
• Tools: DALL·E, MidJourney, and Adobe Firefly for creative outputs.
• Prompt Engineering: Crafting precise inputs to guide generative outputs effectively.

Benefits and Limitations

Real-World Application

Coca-Cola uses generative AI to personalize digital advertisements and create dynamic visuals for targeted campaigns. By utilizing AI tools, they can quickly generate a variety of ad concepts tailored to different consumer segments, increasing engagement and boosting brand recognition.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: 5 Significant Benefits of Artificial Intelligence [Deep Analysis]

Next, explore how Real-Time Threat Detection and Mitigation safeguards businesses against cyber threats.

13. Real-Time Threat Detection and Mitigation

AI-powered real-time threat detection helps neutralize cyber risks instantly. In 2025, the AI in the security market has reached, INR 260k crores, as businesses adopt tools like SIEM and SOAR to enhance response times and reduce damages effectively.

Skills and Tools

• Threat Analysis: Proficiency in penetration testing and vulnerability assessments.
• Detection Tools: Splunk, Palo Alto Networks, and CrowdStrike.
• Incident Management: Expertise in SOAR platforms like Demisto for automated responses.
• AI for Security: Darktrace and SentinelOne for anomaly detection.

Benefits and Limitations

Real-World Application

In the financial sector, AI-powered threat detection systems, such as those used by JPMorgan Chase, prevent fraudulent transactions in real-time. By analyzing transaction patterns and flagging suspicious activity instantly, they protect both customers and the organization from financial losses.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: Automation vs AI in 2025: Key Differences and How They're Shaping the Future

Next, learn how Managing AI Risk and Security (AI TRiSM) addresses ethical and security challenges in AI.

14. Managing AI Risk and Security (AI TRiSM)

AI TRiSM ensures AI systems are secure, transparent, and comply with ethical standards. 

In 2025, businesses are prioritizing AI governance to mitigate risks and build trust in AI-driven decisions. The market is expected to reach, INR 72k crores, growing at a CAGR of 16.0%.

Skills and Tools

• AI Governance Frameworks: Knowledge of NIST AI RMF and ISO 42001 standards.
• Ethical AI Tools: IBM AI Fairness 360 for bias detection and mitigation.
• Security Expertise: Understanding adversarial attacks and AI system vulnerabilities.
• Monitoring Tools: Platforms like Fiddler AI for explainability and trust management.

Benefits and Limitations

Real-World Application

In healthcare, AI TRiSM has been used by a hospital group to ensure their diagnostic algorithms, powered by AI, are unbiased and accurate. For example, a hospital using AI for early cancer detection regularly audits the algorithm for bias using AI TRiSM. This ensures equitable treatment recommendations for all patients, regardless of their background or circumstances.

Job Roles and Salaries

Source(s): AmbitionBox

Also Read: Top 20 Types of AI in 2025 Explained

Next, discover how Automated Consumer Decision Systems improve personalization and efficiency in customer interactions.

15. Automated Consumer Decision Systems

Automated Consumer Decision Systems use AI to make data-driven decisions for businesses and consumers. 

In 2025, these systems will power personalized recommendations, dynamic pricing, and customer support, with the AI market reaching, INR 23,760k crores by 2032. AI adoption is expected to hit 86% by 2030.

Skills and Tools

• AI Modeling: Proficiency in recommendation algorithms and dynamic pricing models.
• Tools for Automation: Salesforce Einstein, SAP CX for consumer behavior analysis.
• Data Analysis: Expertise in customer segmentation using platforms like Tableau.
• Natural Language Processing (NLP): Chatbot integration with tools like Dialogflow.

Benefits and Limitations

Real-World Application

Amazon uses automated consumer decision systems to recommend products based on individual shopping behavior. This personalization has led to a significant increase in sales, with personalized recommendations driving 35% of total sales. This also proves that the power of AI in boosting consumer engagement and revenue is quite significant.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: The History of AI: A Comprehensive Timeline of Artificial Intelligence

Next, explore how a connected workforce for the future upgrades the collaboration with advanced tools and platforms.

16. Connected Workforce for the Future

The connected workforce uses advanced collaboration tools, IoT, and AI for seamless remote and hybrid work. In 2025, organizations are adopting smart platforms to boost productivity and communication. The market is expected to reach  INR238k crores by 2030, growing at a CAGR of 25.39%.

Skills and Tools

• Collaboration Platforms: Expertise in tools like Microsoft Teams, Slack, and Zoom.
• IoT Devices: Experience with smart office solutions, such as connected lighting and HVAC systems.
• AI Integration: Technical skills in using AI assistants like Otter.ai for transcription and task management.
• Cybersecurity: Knowledge of endpoint security tools like CrowdStrike to protect remote devices.

Benefits and Limitations

Real-World Application

Companies like Microsoft have successfully adopted hybrid work using platforms like Microsoft Teams and Asana. This has allowed employees to collaborate across global locations, managing projects effectively while maintaining flexibility in working hours and locations.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: 30+ Artificial Intelligence Project Ideas With Source Code in 2025

Next, explore how biotechnology revolutionizing agriculture is upgrading food production and sustainability.

17. Biotechnology Revolutionizing Agriculture

Biotechnology is revolutionizing agriculture by improving crop yields and reducing resource use. In 2025, CRISPR and bioengineering are driving precision farming to ensure food security. The agricultural biotech market has reached INR 1,400k crores in 2025, growing at a CAGR of 7.07%.

Skills and Tools

• Genetic Engineering: CRISPR-Cas9 for crop modification.
• Precision Farming Tools: Drones and IoT sensors for monitoring soil health.
• Bioinformatics: Tools like BLAST and Bioconductor for genetic data analysis.
• Sustainable Practices: Understanding nitrogen fixation techniques for eco-friendly farming.

Benefits and Limitations

Real-World Application

CRISPR-modified drought-resistant wheat has been successfully developed to withstand harsh environmental conditions. Doing so ensures stable crop production in regions with unpredictable rainfall patterns, like parts of Africa. This breakthrough helps secure food supplies and improves farmers' resilience against climate change.

Job Roles and Salaries

Source(s): AmbitionBox

Also Read: A Comprehensive Guide on How to Become a Research Scientist in 2025

Next, dive into how Self-Driving Vehicles and Automation are shaping the future of transportation.

18. Self-Driving Vehicles and Automation

Self-driving vehicles are advancing transportation with AI systems for navigation, safety, and efficiency. In 2025, autonomous cars, drones, and robotics are driving innovation in logistics and urban mobility. The market is projected to reach INR 520k crores by 2030, growing at a CAGR of 22.2%.

Skills and Tools

• Programming Skills: Python, C++ for autonomous system algorithms.
• Simulation Platforms: CARLA and NVIDIA Drive for testing autonomous vehicles.
• AI Techniques: Proficiency in computer vision and LiDAR for object detection.
• Robotics: ROS (Robot Operating System) for integrating automation systems.

Benefits and Limitations

Real-World Application

FedEx has been using drones for last-mile delivery, significantly speeding up the delivery process in rural and hard-to-reach areas. This technology helps reduce delivery times, lowers operational costs, and enhances efficiency in logistics operations.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: 17 AI Challenges in 2025: How to Overcome Artificial Intelligence Concerns?

Next, explore how Virtual Replicas with Digital Twins are enabling simulation and optimization in real-world applications.

19. Virtual Replicas with Digital Twins

Digital twins replicate physical assets in virtual environments for simulation and optimization. In 2025, industries like manufacturing and healthcare will utilize digital twins to improve efficiency and predict maintenance. The market is projected to grow to , INR 2,250k crores by 2032.

Skills and Tools

• Simulation Software: ANSYS, Siemens NX for creating virtual replicas.
• IoT Integration: Sensors and IoT devices for real-time data collection.
• Data Analysis: Tools like Tableau and SAS for interpreting digital twin data.
• Cloud Platforms: Azure Digital Twins, AWS IoT TwinMaker for managing virtual models.

Benefits and Limitations

Real-World Application

In healthcare, St. Jude Children's Research Hospital uses digital twins to create virtual replicas of organs for pre-surgical planning. Surgeons can simulate procedures on these models, reducing risks during complex surgeries and improving patient outcomes. This technology enables the delivery of precise and personalized medical treatments.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: AWS Cheat Sheet: Contents of Cheat Sheet & Impact

Next, explore how Brain-Inspired Neuromorphic Computing is advancing AI capabilities by mimicking the human brain.

20. Brain-Inspired Neuromorphic Computing

Neuromorphic computing mimics the brain's structure to enable faster, energy-efficient AI computations. In 2025, it’s advancing robotics, autonomous systems, and edge AI. The market has reached INR 1,850k crores in 2025, growing at a CAGR of 29.5% through 2032.

Skills and Tools

• Hardware Expertise: Knowledge of neuromorphic chips like Intel Loihi and IBM TrueNorth.
• Neural Networks: Proficiency in spiking neural network (SNN) frameworks.
• Programming Languages: Python and C++ for developing neuromorphic algorithms.
• Simulation Tools: NEST and SpiNNaker for neural simulation.

Benefits and Limitations

Real-World Application

Neuromorphic computing is revolutionizing autonomous robotics. For example, Toyota's mobility robot, developed using neuromorphic chips, enhances real-time decision-making in unpredictable environments, enabling it to navigate complex spaces autonomously with minimal energy consumption.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: How AI is Transforming Digital Marketing?

Next, discover how AI-powered synthetic media is upgrading content creation and storytelling.

21. AI-Powered Synthetic Media

AI-powered synthetic media creates hyper-realistic digital content, including videos, voices, and images. In 2025, industries like entertainment, marketing, and education are using this technology to enhance creativity.The synthetic media market is expected to grow to, INR 903k crores by 2030, growing at a CAGR of 13.35%.

Skills and Tools

• Generative Models: Expertise in GANs and transformers.
• Content Tools: RunwayML, Synthesia, and DeepFaceLab.
• Voice and Video Editing: Skills in Adobe Premiere Pro and Descript for AI-generated media.
• Ethical AI Practices: Knowledge of copyright and deepfake regulations.

Benefits and Limitations

Real-World Application

In entertainment, Lucasfilm utilizes AI-powered synthetic media to recreate the likenesses of historical figures, such as Peter Cushing, for the Star Wars franchise. Doing so enhances the CGI effects and brings back iconic characters with hyper-realistic accuracy. This also saves a lot of time and reduces costs while maintaining creative authenticity.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: ML Types Explained: A Complete Guide to Data Types in Machine Learning

Next, explore how Smart Cities Powered by 5G are changing urban infrastructure.

22. Voice Assistants and Conversational AI

Voice assistants and conversational AI are changing human-computer interaction with hands-free, intuitive communication. In 2025, these technologies will be widely used in customer service and accessibility. The conversational AI market is expected to grow to, INR 430k crores by 2030, at a CAGR of 24.9%.

Skills and Tools

• NLP Proficiency: Skills in natural language understanding (NLU) and sentiment analysis.
• Development Tools: Amazon Lex, Google Dialogflow, and Rasa.
• Integration Expertise: Knowledge of APIs for smart devices like Alexa and Google Home.
• Voice Synthesis: Experience with TTS (text-to-speech) tools like IBM Watson Speech.

Benefits and Limitations

Real-World Application

Sephora utilizes AI-powered chatbots to address real-time customer queries on its website and mobile app. These virtual assistants handle product inquiries, booking consultations, and offering personalized recommendations, improving customer engagement and reducing wait times.

Job Roles and Salaries

Source(s): Glassdoor

Also Read: Sentiment Analysis: An Intuition Behind Sentiment Analysis in 2024

Advance your career with upGrad’s Master’s in AI & ML from IIIT Bangalore and LJMU. Learn deep learning, NLP, and generative AI in this 18-month program. Enroll before June 30, 2025, and gain expertise to excel in the rapidly evolving AI industry.

Having discovered the 22 technologies, let’s now have a look at how you should select the right IT technology for your needs.

How to Choose the Right IT Technology for Your Path to Success?

Selecting the right IT technologies requires careful consideration of industry needs, personal goals, and future trends. By focusing on relevant factors, you can align your skills with the latest IT technologies and secure meaningful career opportunities. 

Below are essential pointers to guide your decision.

• Assess industry demand: Explore trending IT technologies like AI and cloud computing, heavily adopted in finance, healthcare, and manufacturing by companies like Google and IBM.
• Align with personal interests: Choose the best new IT technologies, like blockchain if you enjoy decentralized systems, or cybersecurity if you're passionate about data protection.
• Evaluate growth potential: Focus on scalable IT technologies like 5G and edge computing, which are rapidly expanding in smart city projects and IoT applications.
• Consider required tools and skills: Learn essential tools like TensorFlow for AI, Hyperledger for blockchain, and Qiskit for quantum computing.
• Analyze scalability: Opt for IT technologies like AI-powered automation, which integrate seamlessly into industries such as retail and logistics, enhancing operational efficiency.
• Research company use cases: Study companies like Amazon, Microsoft, and Tesla, which invest in the latest IT technologies to drive innovation and business transformation.
• Understand resources required: Ensure access to affordable learning tools like upGrad, Azure certifications, or AWS training programs for skill-building.
• Match with industry needs: Consider trends like advanced biometrics in banking or robotics in logistics, where technology drives both demand and innovation.

Also Read: Blockchain Implementation: Comprehensive Guide

How Can upGrad Help You Excel in the Latest IT Technologies?

Having explored the top 20+ IT technologies, such as 5G connectivity and self-driving vehicles, it's essential to focus on developing the right skills. Key skills, such as AI, blockchain, and cybersecurity, require proficiency in tools like Python for AI development and Solidity for blockchain. These technologies offer new career paths in roles such as AI Developer and Blockchain Developer.

To bridge skill gaps and stay ahead of the curve, upGrad’s industry-specific courses offer a practical approach, from practical coding assignments to real case studies. Utilize their expert-led programs to understand trending technologies, thereby securing certifications that make you stand out.

In addition to the IT technologies covered in this blog, explore these additional specialized courses that dive into cloud computing, AI, and blockchain. These courses equip you with the technical skills necessary to remain competitive in 2025.

• Professional Certificate Program in Data Science and AI with PwC Academy
• AI-Powered Full Stack Development Course by IIITB
• ChatGPT for Digital Marketing

Unsure about your next career move? upGrad offers personalized guidance to help you develop the skills and confidence necessary to advance your career. Visit an upGrad center today to kickstart your professional growth and to take on new challenges.

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