Global Artificial Intelligence in Life Science Market Size By Component(Hardware, Software, and Services), By Deployment(On-Premise and cloud), By Application(Drug Discovery, Precision Medicine, Clinical Trials, Patient Monitoring), By Geographic Scope And Forecast

Published Date: August - 2024 | Publisher: MIR | No of Pages: 320 | Industry: latest updates trending Report | Format: Report available in PDF / Excel Format

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Artificial Intelligence in Life Science Market Size and Forecast

Artificial Intelligence in Life Science Market size was valued at USD 192.53 Million in 2021 and is projected to reach USD 1202.06 Million by 2030, growing at a CAGR of 20.1% from 2023 to 2030.

The growing development of new technologies such as artificial intelligence, and their widespread use across a variety of industries have increased demand for AI in the life sciences sector.  The Global Artificial Intelligence in Life Science Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Artificial Intelligence in Life Science Market Definition

Artificial Intelligence, or AI, is all about building computers smart enough to do things that usually need human brains. It's a big area of computer science with lots of different ideas. But machine learning is really shaking things up in tech. AI systems eat up tons of data, looking for connections and patterns. Then, they use what they've learned to predict what's next. Think about itan image recognition tool can learn to spot and name things in pictures by looking at millions of examples. It's the same with chatbots – feed them enough text conversations, and they can have realistic chats with people. At its core, AI is built on three key abilitiesLearning, reasoning, and self-correction. Learning helps AI gather rules to turn raw data into something useful. Reasoning involves choosing the best way to solve a problem. And self-correction ensures the algorithms are always getting better and giving the most accurate results.

It feels like science is speeding up – new tech breakthroughs are happening all the time. Think about itwe have AI chatbots that listen to your health problems and use fancy algorithms to point you toward the right treatment. And it's not just talk; AI can scan medical images – like X-rays and radiation scans – to spot diseases faster than ever. Even the pharmaceutical world is getting a makeover, with AI helping companies predict demand and ramp up production to meet patient needs. Ultimately, we're entering a new age where data and smart tech are fueling research, leading to quicker development of new therapies and maybe even making a career in life sciences more accessible. The result? Healthier lives for everyone and a more fair and open healthcare system.

Artificial Intelligence in Life Science Market Overview

Hey, it's pretty cool how AI is taking off in life sciences! All these new technologies, like artificial intelligence, are popping up and being used everywhere, which is creating a big buzz for AI in this field. The market is growing globally because everyone wants to streamline drug discovery and clinical trials. AI is even helping with things like clinical trial design, figuring out the right sample sizes, and reaching more patients in different areas. That means lower costs and better data, faster! And with the explosion of databases, tech improvements, and the push for robots doing more on their own, we're expecting AI to keep growing in life sciences. People are especially excited about robotic surgery! Imagine robots doing surgery perfectly and consistently once they're trained. It's a whole new research era driven by data and smarts, which could lead to faster cures and lower costs. Think about itAI can sift through massive, complicated datasets way faster than humans, leading to quicker and better drug options, especially with the rise of precision medicine. Plus, for tough diseases like cancer, we need smart drug combinations, and AI could be a game-changer there. AI can even predict risks for cancers and heart problems using existing medical data, giving doctors a head start on treatment and prevention, thanks to high-performance computing.

A challenge that can be faced by AI in life science could be the hazards of malware and cyber attacks that have dramatically increased over the years. Data protection is an alarming difficulty faced by market players. Another restraint in the life science market is the quality of data processed as input. The accuracy of data used as input has a significant impact on efficiently an algorithm can predict biases that can be concealed in the data, even in quality sources. It is important to recognize the effort needed to compile an adequate set of data.

Artificial Intelligence in Life Science Market Segmentation Analysis

The global Artificial Intelligence in Life Science Market is segmented by Component, Deployment, Application, and Geography.

Artificial Intelligence in Life Science Market by Component

• Hardware• Software• Services

Based on the Component, Artificial Intelligence in the Life Science market is divided into Hardware, Software, and Services. Software segment is likely to dominate the market over the forecast period owning to the rise in the demand for software solution in drug discovery and development.

Artificial Intelligence in Life Science Market by Deployment

• On-Premise• Cloud

Based on the Deployment, Artificial Intelligence in the Life Science market is divided into On-Premise and cloud. Market dominance is held by the cloud sector. the development of cloud-based services, rising investment in telecommunication infrastructure, and flexible use of cloud-based servers are the main drivers in the expansion of the life science market.

Artificial Intelligence in Life Science Market by Application

• Drug Discovery• Precision Medicine• Clinical Trials• Patient Monitoring• Medical Diagnosis

Based on the Application, Artificial Intelligence in Life Science market is Distributed in Drug Discovery, Precision Medicine, Clinical Trials, Patient Monitoring, and Medical Diagnosis. Drug Discovery is growing in the Life science market. The surge in investment in medication development is driven by the rising frequency of numerous chronic diseases are gene-related illnesses. The top pharmaceutical and biotechnical firms are consistently working to find innovative treatments for conditions like cancer, diabetes, infectious diseases etc.

Artificial Intelligence in Life Science Market by Geography

• North America• Europe• Asia Pacific• Latin America• Middle East

Based on the Geography, Artificial Intelligence in Life Science market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East. North America is leading in the life science market. Major investors in research and development, medication discovery, and clinical trial operations are known to come to North America, which is home to a number of top pharmaceutical firms. There is demand for AI technology from both academic institutions and pharmaceutical businesses.

Key Players

The “Artificial Intelligence in Life Science Market” study report will provide valuable insight with an emphasis on the global market including some major players such as IBM Corporation, NuMedii Inc, twoXAR Inc, AiCure LLc, Atomwise Inc, APIXIO Inc, Sensely INC, Insilico Medicine Inc, Nuance Communication Inc, Lexalytics.

Our market analysis entails a section solely dedicated to such major players wherein our analyst provides insight into the financial statement of all major players along with its swot analysis. The competitive landscape section also includes key development strategies and the market share of the above players.

Key Developments

• In August 2022, Atomwise launched a partnership with Sanofi to usAI-driven AtomNet platform to research up to five drug targets Computationally.

Report Scope

REPORT ATTRIBUTESDETAILS
STUDY PERIOD

2019-2030

BASE YEAR

2022

FORECAST PERIOD

2023-2030

HISTORICAL PERIOD

2019-2021

UNIT

Value (USD Million)

KEY COMPANIES PROFILED

IBM Corporation, NuMedii Inc, twoXAR Inc, AiCure LLc, Atomwise Inc, APIXIO Inc, Sensely INC, Insilico Medicine Inc, Nuance Communication Inc, Lexalytics.

SEGMENTS COVERED

By Component, By Deployment, By Application, and By Geography.

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