Pacific Biosciences vs 10x Genomics

Side-by-side comparison of AI visibility scores, market position, and capabilities

10x Genomics leads in AI visibility (74 vs 53)
Pacific Biosciences logo

Pacific Biosciences

GrowthLife Sciences & BioTech

Long-Read Sequencing

Pioneer of single-molecule real-time (SMRT) long-read sequencing; Revio system targets clinical and research markets. Guides to $150–$170M FY2025 revenue with 40%+ gross margins.

AI VisibilityBeta
Overall Score
C53
Category Rank
#56 of 198
AI Consensus
79%
Trend
stable
Per Platform
ChatGPT
54
Perplexity
56
Gemini
48

About

Pacific Biosciences (PacBio) was founded in 2004 in Menlo Park, California and pioneered single-molecule real-time (SMRT) sequencing technology, enabling long-read DNA sequencing that can span tens of thousands of base pairs per read. This capability is essential for resolving complex genomic regions—structural variants, repeat expansions, methylation patterns, and full-length transcripts—that short-read platforms like Illumina cannot accurately assemble.\n\nPacBio's Revio system, launched in 2023, offers a dramatic improvement in throughput and cost efficiency over prior instruments, targeting both research and clinical sequencing laboratories. Key applications include rare disease diagnosis, pharmacogenomics, plant and animal genomics, and clinical oncology. The company guides to $150–$170 million in FY2025 revenue with gross margins exceeding 40% and a path to cash flow breakeven by 2027.\n\nPacBio competes primarily with Oxford Nanopore Technologies in the long-read segment, together driving adoption of long-read sequencing for comprehensive genome assembly and clinical applications. The company is expanding its high-accuracy (HiFi) chemistry and developing Onso, a short-read system, to capture a broader share of the sequencing market. With approximately $260 million in cash, PacBio is well-positioned to scale its clinical business.

Full profile
10x Genomics logo

10x Genomics

LeaderLife Sciences & BioTech

Genomics & Single-Cell Analysis

Leading single-cell genomics platform; $642M FY2025 revenue. Chromium and Visium spatial platforms power cell-type discovery in oncology, neuroscience, and immunology.

AI VisibilityBeta
Overall Score
B74
Category Rank
#7 of 198
AI Consensus
73%
Trend
stable
Per Platform
ChatGPT
71
Perplexity
80
Gemini
76

About

10x Genomics was founded in 2012 in Pleasanton, California by Serge Saxonov, Ben Hindson, and Kevin Ness. The company developed the Chromium platform for single-cell RNA sequencing (scRNA-seq), enabling researchers to analyze gene expression across thousands of individual cells simultaneously—a capability that transformed cell biology, immunology, and cancer research. The Visium Spatial Gene Expression platform extended this to map gene expression within intact tissue architecture.\n\n10x Genomics' instruments and consumables are used by leading academic research centers, pharmaceutical companies, and translational medicine teams to profile the cellular composition of tumors, map the nervous system, characterize immune responses, and develop cell therapies. The company reported full-year 2025 revenue of $642.8 million, up from $610.8 million in 2024, and guides to $600–$625 million for 2026 amid cautious biotech funding conditions.\n\nThe company is transitioning toward a broader multi-omics portfolio including ATAC-seq, protein detection, and spatial multi-omics, while defending market position against competition from Parse Biosciences, Vizgen, and others. Despite near-term funding headwinds in academic markets, 10x Genomics remains a foundational infrastructure provider for the cell atlas era of biology.

Full profile

AI Visibility Head-to-Head

53
Overall Score
74
#56
Category Rank
#7
79
AI Consensus
73
stable
Trend
stable
54
ChatGPT
71
56
Perplexity
80
48
Gemini
76
51
Claude
71
49
Grok
69

Key Details

Category
Long-Read Sequencing
Genomics & Single-Cell Analysis
Tier
Growth
Leader
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Only Pacific Biosciences
Long-Read Sequencing
Only 10x Genomics
Genomics & Single-Cell Analysis

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