Artificial Intelligence (AI) in Biotechnology Market size was valued at USD 8.5 Billion in 2024 and is projected to reach USD 29.4 Billion by 2033, exhibiting a CAGR of 15.2% from 2026 to 2033.
What are the primary drivers of AI adoption in Canadian biotechnology?
Canada’s strong AI research ecosystem (led by institutes like CIFAR) and national investments of over CAD 2 billion in AI since 2017 drive technological convergence in biotech R&D.
How does public health infrastructure contribute?
Canada’s nationalized health system and biobank programs enable comprehensive, anonymized data access for AI training and model validation, supporting personalized medicine advancements.
Is there regional variation within Canada?
Provinces like Ontario and Quebec lead in biotech-AI integration, with over 35% of startups in these regions incorporating machine learning in genomics, diagnostics, and drug discovery.
Key Insights: Canada’s AI in biotechnology market is expected to expand at a CAGR of 25.1% by 2030. Government-backed AI ecosystems and cross-sector collaborations are critical growth enablers.
Get an In-Depth Research Analysis of the Canada Artificial Intelligence (AI) in Biotechnology Market Size And Forecast [2026-2033]
AstraZeneca
Abbott Laboratories
Amgen
Inc.
Atomwise
Biogen
Bristol-Myers Squibb
F. Hoffmann-La Roche Ltd.
Gilead Sciences
Inc
Johnson & Johnson Services
Inc.
Pfizer
Inc.
Merck KGaA
Novo Nordisk A/S
Novartis AG
Sanofi
By the year 2033, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2026 to 2033. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions.
Growing demand for below applications around the world has had a direct impact on the growth of the Canada Artificial Intelligence (AI) in Biotechnology Market
Drug Development
Genomics
Disease Diagnostics
Personalized Medicine
Clinical Trials
Biomanufacturing
Machine Learning
Natural Language Processing (NLP)
Deep Learning
Computer Vision
Expert Systems
Pharmaceutical Companies
Biotechnology Firms
Research Institutions
Diagnostic Laboratories
Healthcare Providers
Software
Hardware
Services
Data
Regenerative Medicine
Vaccinology
Oncology
Environmental Biotechnology
Food Biotechnology
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☛ The comprehensive section of the Canada Artificial Intelligence (AI) in Biotechnology report is devoted to market dynamics, including influencing factors, market drivers, challenges, opportunities, and trends.
☛ Another important part of the study is reserved for the regional analysis of the Canada Artificial Intelligence (AI) in Biotechnology, which evaluates key regions and countries in terms of growth potential, consumption, market share, and other pertinent factors that point to their market growth.
☛ Players can use the competitor analysis in the report to create new strategies or refine existing ones to meet market challenges and increase Artificial Intelligence (AI) in Biotechnology Canada market share.
☛ The report also examines the competitive situation and trends, throwing light on business expansion and ongoing mergers and acquisitions in the Canada Artificial Intelligence (AI) in Biotechnology. It also shows the degree of market concentration and the market shares of the top 3 and top 5 players.
☛ The readers are provided with the study results and conclusions contained in the Artificial Intelligence (AI) in Biotechnology Canada Market Report.
The future scope of the Artificial Intelligence (AI) in Biotechnology looks promising, with a projected CAGR of xx.x% from 2026 to 2033. Increasing consumer demand, technological advancements, and expanding applications will drive market growth. The sales ratio is anticipated to shift towards emerging markets, fueled by rising disposable incomes and urbanization. Additionally, sustainability trends and regulatory support will further boost demand, making the market a key focus for investors and industry players in the coming years.
1. Toronto, Ontario
Canada’s financial capital and largest city.
Home to the Toronto Stock Exchange (TSX).
Leading in banking, fintech, real estate, AI, and professional services.
Major hub for technology and innovation startups.
Headquarters for many multinational companies.
2. Vancouver, British Columbia
Known for leadership in clean tech, film, gaming, and natural resources.
Major port city supporting international trade (especially with Asia-Pacific).
Strong real estate market and high-tech cluster growth.
Active in green energy and sustainable urban development.
3. Montreal, Quebec
A hub for aerospace, AI, video gaming, and pharmaceuticals.
Significant R&D activity due to world-class universities (e.g., McGill).
Strong cultural and creative economy.
Bilingual talent pool supports global market integration.
4. Calgary, Alberta
Historically driven by oil and gas; now diversifying into clean energy and tech.
Home to major engineering and energy firms.
Increasing investments in AI, robotics, and fintech.
5. Ottawa, Ontario
Canada's political capital and a key tech center (especially telecom).
Hosts many federal agencies and global R&D centers.
Strong in software, cybersecurity, and SaaS startups.
Highly educated workforce from universities like Carleton and uOttawa.
6. Edmonton, Alberta
Second-largest city in Alberta with strength in energy, biotech, and manufacturing.
Strong AI research presence via University of Alberta.
Emerging as a logistics and warehousing hub.
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